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        <titl>NSSO_59_Schedule_18.2_Debt_Investment</titl>
        <IDNo>DDI-IND-MOSPI-NSSO-59Rnd-Sch18pt2-Jan-Dec2003</IDNo>
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    <citation>
      <titlStmt>
        <titl>Debt and Investment, NSS 59th Round, Schedule 18.2, January - December 2003</titl>
        <altTitl>
          NSS 59th Round
        </altTitl>
        <IDNo>DDI-IND-MOSPI-NSSO-59Rnd-Sch18pt2-Jan-Dec2003</IDNo>
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      <rspStmt>
        <AuthEnty affiliation="M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI)">National Sample Survey Office</AuthEnty>
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            Governing council and Working Group
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        <producer abbr="FOD" affiliation="National Sample Survey Office " role="Field Work">
          Field Operations Division
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        <producer abbr="DPD" affiliation="National Sample Survey Office " role="Data Processing">
          Data Processing Division
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          Computer Centre
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          DDG, Computer Centre
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      <serStmt>
        <serName>
          Socio-Economic/Monitoring Survey [hh/sems]
        </serName>
        <serInfo><![CDATA[The Reserve Bank of  India (RBI) conducted, for the first time during November 1951 to August 1952, the “All India Rural Credit Survey” in 75 selected districts spread all over the country.  The main objective of this survey was to study two aspects, viz.,(i)  the demand for credit from rural families and (ii) the supply of credit by credit agencies -both institutional and non-institutional.  The data were collected mainly for formulating the banking policies.  The design of the survey was not suitable for providing estimates of indebtedness at the state and national level.  The second such survey on rural “Debt and Investment” was conducted by the RBI in the year 1961-62 for obtaining reliable estimates of debt, borrowing, capital formation etc.  The third comprehensive enquiry in this series of decennial surveys was entrusted by the RBI to the National Sample Survey Organisation (NSSO) and was conducted along with the survey on “Land Holding” during the year 1971-72, as a part of the NSSO programme in its 26th round survey operation. The fourth such survey was conducted in the 37th round (January to December 1982) along with Land Holdings as per the ten years programme charted by the Governing Council. The fifth such survey “All India Debt and Investment Survey (AIDIS)” was conducted along with “Land and Livestock Holdings” in the 48th round (January to December, 1992).

In the 59th round (January to December, 2003) also, “All India Debt and Investment Survey (AIDIS)” will be carried out along with “Land and Livestock Holdings”.  The objectives of the AIDIS remain the same as those of the earlier surveys, namely, to obtain quantitative information on the stock of assets, incidence of indebtedness, capital formation and other indicators or rural/urban economy which will be of value in developing the credit structure in particular, and also for obtaining other allied information required in the field of planning and development.  Further, since the survey will be of the kind of a repeat survey of that of the NSS 48th round, it is considered necessary to plan the survey in such a way as to ensure, as far as practicable, comparability with the estimates of the various characteristics generated from the earlier rounds.]]></serInfo>
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      <abstract>The survey period of the 59th round was from January to December 2003.  The required information has been collected from the same set of sample households in two visits.  The information to be collected in the second visit to the household is considerably less than that to be collected in the first visit.  In view of this uneven work-load in the two visits, it was decided to keep the survey period of the first visit as eight months - from January to August 2003 - and the survey period of the second visit as four months - from September to December 2003.  As a result, the households which were visited in the first two months of the first visit will be revisited in the first month of the second visit and so on.  

The position in regards to the assets and liabilities of the sample households is required to be collected with reference to a fixed data, namely, as on the 30th June 2002.  There was a time lag between the reference date and the survey date in the first visit varying from household to household ranging from 6 months to a maximum period of 14 months.  To derive the above, therefore, it was decided to collect information on assets and liabilities as on the date of survey and the transactions relating to the said assets and liabilities carried out during the period intervening the date of reference and the date of survey.

Broadly, the following information has been collected in this round of survey :-

(i) the asset and the liability position of the households

(ii) the amount of capital expenditure incurred by the household during the reference period of agricultural year 2002-2003 on 
	(a)  residential plots, houses or buildings,
	(b)  farm business and 
	(c)  non-farm business,

(iii) sale and loss of assets during July 2002 to June 2003.

The assets owned by the households have been classified into three categories, namely,

	(a)  physical assets contributing to capital formation
	(b)  financial assets and 
	(c)  durable household assets.

Besides collection of information for deriving the asset and liability position of the households as on 30.6.2002, provisions have also been made to collect data on the transactions of physical, financial and household durable assets and also on the cash borrowings and repayments made during the agricultural year 2002-2003.</abstract>
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        <collDate date="2003-01-01" event="start" cycle="Visit 1"/>
        <collDate date="2003-08-31" event="end" cycle="Visit 1"/>
        <collDate date="2003-09-01" event="start" cycle="Visit 2"/>
        <collDate date="2003-12-31" event="end" cycle="Visit 2"/>
        <nation abbr="IND">India</nation>
        <geogCover>The survey covered the whole of the Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu &amp; Kashmir, (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.</geogCover>
        <anlyUnit>Randomly selected households  based on sampling procedure and members of the household</anlyUnit>
        <universe>The survey used the interview method of data collection from a sample of randomly selected households and members of the household.</universe>
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          Sample survey data [ssd]
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      <notes><![CDATA[The description of different blocks appearing in visit-1 and visit -2 of schedule 18.2 of the 59th round	
block no.	                   block heading	                                                                   appearing in the schedule for	
(1)	                              (2)	                                                                                           (3)	
0	descriptive identification of sample household	                                                 visit 1&2	
1	identification of sample household	                                                                                                                                                                              visit 1&2	
2	particulars of field operation                                                                                                                                                                                                 visit 1&2	
3	household characteristics	                                                                                                                                                                                               visit 1 only	
4	demographic and other particulars of household members	                                                                                                                                                visit 1 only	
5	land owned by the household as on the  date of survey and transaction during 1.7.02 to the  date of survey	                                                                 visit 1 only	
6	buildings and other constructions owned by the household as on the date of survey and related transaction during 1.7.02 to date of survey   	visit 1 only	
7	livestock and poultry owned by the household as on the date of survey and their transactions during 1.7.02 to date of survey	                                  visit 1 only	
8	agricultural machinery and implement owned by the household as on the date of survey and related transactions during 1.7.02 to date of survey	visit 1 only	
 9	non-farm business equipments owned by the household as on the date of survey and related transactions during 1.7.02 to date of survey	                   visit 1 only	
10	transport equipment owned by the household as on the date of survey and related transaction during 1.7.02 to date of survey	                                    visit 1 only	
11	durable assets owned by the household as  on the date of survey and related  transaction during 1.7.02/1.7.03  to date of survey	                         visit 1 &2	
12	shares &debentures owned by the household in co-operative societies & companies as on the date of survey and related transaction during 1.7.02 to date of survey	visit 1 only	
13	financial assets other than shares & debentures owned by the household as on the date of survey and related transaction during 1.7.02 to date of survey	visit 1 only	
14	cash loans and kind loans receivable by household against different securities/heads on the date of survey and related transaction during 1.7.02/ 1.7.03 to date of survey	visit 1&2	
15.1	number of cash loans of the household outstanding as on the date of survey and number of loans fully repaid/written off during 1.7.02/ 1.1.03 to date of survey	visit 1&2	
15.2	particulars of cash loans payable by the household  to institutional/ non-institutional  agencies as on the date of survey and transaction of loans during 1.7.02/ 1.1.03 to date of survey   visit 1&2
16	kind loans and other liabilities  payable by the household as on the date of survey	visit 1&2	
17.1	specified items on which household incurred expenditure during 1.7.02 to 31.12.02 / 1.1.03 to 30.6.03	visit 1&2	
17.2	expenditure incurred by the household  on specified items during 1.7.02 to 31.12.02/1.1.03 to 30.6.03	visit 1&2	
18	particulars of sale and loss of assets during 1.7.02 to 31.12.02/1.1.03 to 30.6.03	visit 1&2]]></notes>
      <subject>
        <keyword>Debt &amp; Investment</keyword>
        <keyword>NSS 59th Round</keyword>
        <keyword>Schedule 18.2</keyword>
        <keyword>January - December 2003</keyword>
      </subject>
    </stdyInfo>
    <method>
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        <sampProc>Sample Design 

Broad design: A stratified multi-stage design has been adopted for the 59th round survey. The first stage unit (FSU) is the census village in the rural sector and UFS block in the urban sector. The ultimate stage units (USUs) are households in both the sectors. Hamlet-groups / sub-blocks constitute the intermediate stage whenever these are formed in the selected FSU.

Sampling Frame for First Stage Units: For rural areas, the list of villages (panchayat wards for Kerala) as per Population Census 1991 and for urban areas the latest UFS frame have been used as sampling frame. For stratification of towns by size class, provisional population of towns as per Census 2001 have been used. 

Stratification 

Rural Sector: Two special strata have been formed at the State/ UT level, viz.,

 Stratum 1: all FSUs with population between 0 to 50 and
Stratum 2:  FSUs with population more than 15,000.

Special stratum 1 was formed whenever at least 50 such FSUs were found in a State/UT. Similarly, special stratum 2 was formed if at least 4 such FSUs were found in a State/UT. Otherwise, such FSUs were merged with the general strata.

Urban Sector: In the urban sector, strata have been formed within each NSS region on the basis of size class of towns as per Population Census 2001. The stratum numbers and their composition (within each region) are given below.

stratum 1 :	all towns with population less than  50,000	
stratum 2 :	all towns with population 50,000 or more but less than 2 lakhs	
stratum 3 :	all towns with population 2 lakhs or more but less than 10 lakhs	
stratum 4, 5, 6,... :  	each city with population 10 lakhs or more	

Total Sample Size (FSUs): 10608 FSUs have been allocated at all-India level on the basis of investigator strength in different States/UTs for central sample and 11496 for state sample.</sampProc>
        <deviat>
          There was no deviation from the original sampling design.
        </deviat>
        <collMode>Face-to-face [f2f]</collMode>
        <resInstru><![CDATA[Details of the schedule 18.2 NSS round 59

Block 0:  Descriptive identification of sample household:   This block is meant for recording descriptive identification particulars of the sample household and the sample village/block to which the sample household belongs.  
Block 1:  Identification of sample household:  The identification particulars of the sample household are to be recorded against items 1 to 15.  
Block 2: Particulars of field operation
Block 3: Household characteristics:  Certain household characteristics, such as, household size, household type, religion, social-group, household industry, household  occupation, consumer expenditure, and operation of land etc., which are intended to be used mainly as classificatory characteristics in tabulation will be recorded in this block. This block has been filled-in in visit 1 only.
Block 4: Demographic and other particulars of household members:  All members of the sample household will be listed in this block.  Demographic particulars viz. Relation to head, age, sex, marital status, general education and usual activity particulars with industry of work will be recorded for each member, using one line for each.  
Block 5: Land owned by the household as on date of survey and related transactions during 1.7.02 to date of survey:  This block has been filled in only during the first visit to the sample household. This block is meant for recording area and value of each type of  land, including the house site and other residential areas, owned by the sample household on the date of survey and also the acquisition and disposal of land during the period 1.7.02 to date of survey.  With the help of these data, the area and value of land owned by the household as on 30.6.02 will be derived.
Block 6:  Buildings and other constructions owned by the household on the date of survey and related transactions during 1.7.02 to date of survey:  This block has been filled in only during the first visit to the sample household. This block is meant for recording approximate floor area (sq mts 0.00) and value (Rs) of all owned buildings and constructions on the date of survey and also the value of acquisition and disposal of these assets during the period 1.7.02 to the date of survey.  With the help of these data the stock position as on 30.6.02 will be derived.  The items have been grouped under three major heads viz.

residential buildings,
buildings used for farm business,
 buildings used for non-farm business
Block 7: Livestock and poultry owned by the household on the date of survey and related transaction during 1.7.02 to date of survey:  This block has been filled in only during the first visit to the sample household.  The information on number and value of cattle and buffalo owned by the household with break-up by age, sex and use and of other large heads viz elephant, horse etc., sheeps, goats, pigs , rabbits and of  poultry birds has been collected in this block along with the data on the transactions during 1.7.02 to the date of survey.
Block 8:  Agricultural machinery and implements owned by the household on the date of survey and related transactions during 1.7.02 to date of survey:  The number and value of agricultural machinery and implements owned by the household on the date of survey and those acquired or disposed of during 1.7.02 to the date of survey has been collected in this block.
Block 9:  Non-farm business equipments owned by the household and related transactions
Block 10:  Transport equipments: This block is to be filled in for visit 1 only. In this block, the number and the value of the household's share of all transport equipments owned on the date of survey has been recorded.
Block 11:  Durable assets owned by the households and related transactions:  This block shall be canvassed both for visit -1 and visit- 2.
Block 12:  Shares and debentures owned by the household and related transactions: This block is to be filled in for visit 1 only. This block is meant for recording the stock of the financial assets in the form of ownership of shares and debentures in the credit or non-credit cooperative societies, commercial banks, financial and non-financial companies, mutual fund including the Unit Trust of India and other similar financial assets as on the date of survey and also their transactions during 1.7.02 to date of survey.
Block 13, Financial assets other than shares and debentures:  This block is provided for collecting information on financial assets not covered in block 12 above.  The financial assets to be considered here are the different types of certificates/securities issued by the government or banks, viz. NSC, Indira Vikas Patra, Kisan Vikas Patra, RBI Bonds or deposits in post office, cooperative societies/banks, commercial banks, companies, insurance companies etc.  In case of certificates, the amount paid at the time of purchase will be considered and for deposits the total amount including interest accrued should be taken into account.
Block 14:  Cash loans and kind loans receivable by the household:   This block is meant for collecting information in respect of amount receivable by the household on the date of survey on account of loans advanced by them in cash or in kind and the transactions of such loans during the reference periods, viz. 1.7.02 to the date of survey during the first visit and 1.7.03 to the date of survey in second visit.
Block 15.1:  This block is meant for recording general particulars about the cash loans payable by the households to institutions and other agencies.  
Block 15.2:  Particulars of cash loans payable by the household:   The details of cash loans payable by the household as on the date of survey and transactions of all loans during the reference period of 1.7.02/1.1.03 to the date of survey have been recorded in this sub-block in the schedules of first/second visit.
Block 16: Kind loans and other liabilities payable by the household as on the date of survey:  In this block, information will be collected in respect of all kind loans and other cash liabilities.
Block 17.1: This block has been designed to identify the specific items on which expenditure in cash and or in kind has been incurred for new purchase, constructions, additions, major repairs and alterations, improvement etc., and normal repairs and maintenance during the reference period of 1.7.02 to 31.12.02 and 1.1.03 to 30.6.03 in visit one and visit two respectively.  
Block 17.2:   The items on which capital expenditure (including expenditure on normal repairs and maintenance) has been incurred during the reference period, has been identified in block 17.1.  The details of the amount of expenditure incurred under various heads on the items already identified in block 17.1 have been collected in block 17.2
Block 18:  Particulars of sale and loss of assets:   This block is meant for recording the details of the sale of physical assets and loss of physical assets caused by natural calamities or otherwise during the reference period of 1.7.02 to 31.12.02 and 1.1.03 to 30.6.03 in visit 1 and 2 respectively.  In this block sale of new and old assets have been considered.]]></resInstru>
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        <conditions>
          Validated unit level data relating to various survey rounds are available on CD-ROMS which can be obtained from the Deputy Director General, Computer Centre, M/O Statistics and PI, East Block No. 10 R.K. Puram, New Delhi-110066 by remitting the price along with packaging and postal charges as well as giving an undertaking duly signed in a specified format.The amount is to be remitted by way of demand draft drawn in favour of Pay &amp; Accounts Officer, Ministry of Statistics &amp; Programme Implementation, payable at New Delhi.
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        <disclaimer>
          The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
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  <fileDscr ID="F8" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=7&amp;Name=Visit 1_Block 8_agricultural machinery and implement owned by the household as on the date of survey and related transactions  ">
    <fileTxt>
      <fileName><![CDATA[Visit 1_Block 8_agricultural machinery and implement owned by the household as on the date of survey and related transactions  .NSDstat]]></fileName>
      <fileCont>
        This file contains information on visit 1 about agricultural machinery and implement owned by the household as on the date of survey and related transactions.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V258"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          248368
        </caseQnty>
        <varQnty>
          32
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F13" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=8&amp;Name=Visit 1_Block 9_non-farm business equipment owned by the household as on date of survey and related transactions">
    <fileTxt>
      <fileName>
        Visit 1_Block 9_non-farm business equipment owned by the household as on date of survey and related transactions.NSDstat
      </fileName>
      <fileCont>
        This file contains information on visit 1 about non-farm business equipment owned by the household as on date of survey and related transactions.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V410"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          94603
        </caseQnty>
        <varQnty>
          32
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F14" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=9&amp;Name=Visit 1_Block 10_transport  equipment owned by  the  household as on the date of  survey and  related tnansactions ">
    <fileTxt>
      <fileName><![CDATA[Visit 1_Block 10_transport  equipment owned by  the  household as on the date of  survey and  related tnansactions .NSDstat]]></fileName>
      <fileCont><![CDATA[This file contains information on visit 1 about transport  equipment owned by  the  household as on the date of  survey and  related tnansactions during  01-07-2002 to date  of  survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V443"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          165169
        </caseQnty>
        <varQnty>
          33
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F9" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=10&amp;Name=Visit 1_Block 11_durable assets owned by the household as on the date of survey and related transactions">
    <fileTxt>
      <fileName>
        Visit 1_Block 11_durable assets owned by the household as on the date of survey and related transactions.NSDstat
      </fileName>
      <fileCont><![CDATA[This file contains information on visit 1 about durable assets owned by the household as on the date of survey and related transactions during   01-07-2002 to the date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V290"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          1123774
        </caseQnty>
        <varQnty>
          32
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F15" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=11&amp;Name=Visit 1_Block 12_shares &amp; debentures owned by the household in co operative societies &amp; companies as on the date  of  survey and  related  transactions">
    <fileTxt>
      <fileName><![CDATA[Visit 1_Block 12_shares & debentures owned by the household in co operative societies & companies as on the date  of  survey and  related  transactions.NSDstat]]></fileName>
      <fileCont><![CDATA[This file contains information on visit 1 about shares &debentures owned by the household in co operative societies & companies as on the date  of  survey and  related  transactions during  01-07-2002  to date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V471"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          20428
        </caseQnty>
        <varQnty>
          28
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F11" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=12&amp;Name=Visit 1_Block 13_financial assets other than shares &amp; debentures owned by the household as on the date  of  survey and  related  transactions">
    <fileTxt>
      <fileName><![CDATA[Visit 1_Block 13_financial assets other than shares & debentures owned by the household as on the date  of  survey and  related  transactions.NSDstat]]></fileName>
      <fileCont><![CDATA[This file contains information on visit 1 about financial assets other than shares &debentures owned by the household as on the date  of  survey and  related  transactions during  01-07-2002  to the date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V346"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          346612
        </caseQnty>
        <varQnty>
          30
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F16" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=13&amp;Name=Visit 1_Block 14_cash loans and kind loans receivable by household against different securities or heads on the date of survey and related transactions">
    <fileTxt>
      <fileName>
        Visit 1_Block 14_cash loans and kind loans receivable by household against different securities or heads on the date of survey and related transactions.NSDstat
      </fileName>
      <fileCont>
        This file contains information on visit 1 about cash loans and kind loans receivable by household against different securities/heads on the date of survey and related transactions during 01-07-2002 to date of survey.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V499"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          7272
        </caseQnty>
        <varQnty>
          28
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F12" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=14&amp;Name=Visit 1_Block 15pt1_number of cash loans of the household outstanding as on date of survey and number of loans fully repaid or written off">
    <fileTxt>
      <fileName>
        Visit 1_Block 15pt1_number of cash loans of the household outstanding as on date of survey and number of loans fully repaid or written off.NSDstat
      </fileName>
      <fileCont>
        This file contains information on visit 1 about number of cash loans of the household outstanding as on date of survey and number of loans fully repaid/ written off during 01.07.2002 to date of survey.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V378"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          143195
        </caseQnty>
        <varQnty>
          32
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F18" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=15&amp;Name=Visit 1_Block 15pt2 part 1_particulars of cash loans payable by the household to institutional or non-institutional agencies as on the date of survey and   transactions of loans">
    <fileTxt>
      <fileName><![CDATA[Visit 1_Block 15pt2 part 1_particulars of cash loans payable by the household to institutional or non-institutional agencies as on the date of survey and   transactions of loans.NSDstat]]></fileName>
      <fileCont><![CDATA[This file contains information on visit 1 about particulars of cash loans payable by the household to institutional/ non-institutional agencies as on the date of survey and   transactions of loans during 01-07-2002 to date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V570"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          97281
        </caseQnty>
        <varQnty>
          39
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F17" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=16&amp;Name=Visit 1_Block 15pt2 part 2_particulars of cash loans payable by the household to institutional or non-institutional agencies as on the date of survey and   transactions of loans">
    <fileTxt>
      <fileName><![CDATA[Visit 1_Block 15pt2 part 2_particulars of cash loans payable by the household to institutional or non-institutional agencies as on the date of survey and   transactions of loans.NSDstat]]></fileName>
      <fileCont><![CDATA[This file contains information on visit 1 about particulars of cash loans payable by the household to institutional/ non-institutional agencies as on the date of survey and   transactions of loans during 01-07-2002 to date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V531"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          97287
        </caseQnty>
        <varQnty>
          32
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F19" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=17&amp;Name=Visit 1_Block 16_kind loans and other liabilities payable by the household">
    <fileTxt>
      <fileName>
        Visit 1_Block 16_kind loans and other liabilities payable by the household.NSDstat
      </fileName>
      <fileCont>
        This file contains information on visit 1 regarding kind loans and other liabilities payable by the household as on the date of survey.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V599"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          19831
        </caseQnty>
        <varQnty>
          29
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F10" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=18&amp;Name=Visit 1_Block 17pt1_specified items on which household incurred expenditure">
    <fileTxt>
      <fileName>
        Visit 1_Block 17pt1_specified items on which household incurred expenditure.NSDstat
      </fileName>
      <fileCont>
        This file contains information on visit 1 regarding specified items on which household incurred expenditure during 01-07-2002 to 31-12-2002.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V316"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          4941783
        </caseQnty>
        <varQnty>
          26
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F20" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=19&amp;Name=Visit 1_Block 17pt2_expenditure incurred by the household on specified items">
    <fileTxt>
      <fileName>
        Visit 1_Block 17pt2_expenditure incurred by the household on specified items.NSDstat
      </fileName>
      <fileCont>
        This file contains information on visit 1 regarding expenditure incurred by the household on specified items during 01.07.2002 to 31.12.2002.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V633"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          59996
        </caseQnty>
        <varQnty>
          34
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F21" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=20&amp;Name=Visit 1_Block 18_Particulars of sale and loss of assets during 01-07-2002 to 31-12-2002">
    <fileTxt>
      <fileName>
        Visit 1_Block 18_Particulars of sale and loss of assets during 01-07-2002 to 31-12-2002.NSDstat
      </fileName>
      <fileCont>
        This file contains information on visit 1 regarding particulars of sale and loss of assets during 01-07-2002 to 31-12-2002.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F1 F2" keyvar="V661"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          17429
        </caseQnty>
        <varQnty>
          28
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F22" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=21&amp;Name=Visit 1 &amp; 2 Combined_Blocks 1&amp;2_Identification of sample household">
    <fileTxt>
      <fileName>
        Visit 1 &amp; 2 Combined_Blocks 1&amp;2_Identification of sample household.NSDstat
      </fileName>
      <fileCont>
        This file contains combined information for visits 1 and 2 for identification of sample household.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F23 F24 F25 F26 F27 F28 F29 F30 F31 F32 F33 F34 F35 F36 F37 F38 F39 F40 F41 F42" keyvar="V692"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          278078
        </caseQnty>
        <varQnty>
          31
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F23" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=22&amp;Name=Visit 1 &amp; 2 Combined_Block 3_Household characteristics">
    <fileTxt>
      <fileName>
        Visit 1 &amp; 2 Combined_Block 3_Household characteristics.NSDstat
      </fileName>
      <fileCont>
        This file contains combined information on visits 1 and 2 on household characteristics.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F24 F25 F26 F27 F28 F29 F30 F31 F32 F33 F34 F35 F36 F37 F38 F39 F40 F41 F42" keyvar="V729"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          139041
        </caseQnty>
        <varQnty>
          38
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F24" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=23&amp;Name=Visit 1 &amp; 2 Combined_Block 4_demographic and other particulars of household members">
    <fileTxt>
      <fileName>
        Visit 1 &amp; 2 Combined_Block 4_demographic and other particulars of household members.NSDstat
      </fileName>
      <fileCont>
        This file contains combined information on visits 1 and 2 for demographic and other particulars of household members.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V764 V763"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          693133
        </caseQnty>
        <varQnty>
          34
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F25" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=24&amp;Name=Visit 1 &amp; 2 Combined_Block 5_land owned by the household as on the date of survey and related transactions during 01-07-2002 to date of survey">
    <fileTxt>
      <fileName>
        Visit 1 &amp; 2 Combined_Block 5_land owned by the household as on the date of survey and related transactions during 01-07-2002 to date of survey.NSDstat
      </fileName>
      <fileCont>
        This file contains combined information on visits 1 and 2 about land owned by the household as on the date of survey and related transactions during 01-07-2002 to date of survey.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V797"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          360096
        </caseQnty>
        <varQnty>
          33
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F26" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=25&amp;Name=Visit 1 &amp; 2 Combined_Block 6 part 1_buildings and other constructions owned by the household  on date of survey and related transactions during 01-07-2002 to date of survey">
    <fileTxt>
      <fileName><![CDATA[Visit 1 & 2 Combined_Block 6 part 1_buildings and other constructions owned by the household  on date of survey and related transactions during 01-07-2002 to date of survey.NSDstat]]></fileName>
      <fileCont><![CDATA[This file contains combined information on visits 1 and 2 about buildings and other constructions owned by the household  on date of survey and related transactions during 01-07-2002 to date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V827"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          281823
        </caseQnty>
        <varQnty>
          30
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F27" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=26&amp;Name=Visit 1 &amp; 2 Combined_Block 6 part 2_buildings and other constructions owned by the household  on date of survey and related transactions during 01-07-2002 to date of survey">
    <fileTxt>
      <fileName><![CDATA[Visit 1 & 2 Combined_Block 6 part 2_buildings and other constructions owned by the household  on date of survey and related transactions during 01-07-2002 to date of survey.NSDstat]]></fileName>
      <fileCont><![CDATA[This file contains combined information on visits 1 and 2 about buildings and other constructions owned by the household  on date of survey and related transactions during 01-07-2002 to date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V857"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          280206
        </caseQnty>
        <varQnty>
          30
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F28" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=27&amp;Name=Visit 1 &amp; 2 Combined_Block 7_livestock and poultry owned by the household  on the date of survey and related transactions during 01-07-2002 to date of survey">
    <fileTxt>
      <fileName><![CDATA[Visit 1 & 2 Combined_Block 7_livestock and poultry owned by the household  on the date of survey and related transactions during 01-07-2002 to date of survey.NSDstat]]></fileName>
      <fileCont><![CDATA[This file contains combined information on visits 1 and 2 about livestock and poultry owned by the household  on the date of survey and related transactions during 01-07-2002 to date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V889"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          293872
        </caseQnty>
        <varQnty>
          32
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F29" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=28&amp;Name=Visit 1 &amp; 2 Combined_Block 8_agricultural machinery and implement owned by the household as on the date of survey and related transactions">
    <fileTxt>
      <fileName>
        Visit 1 &amp; 2 Combined_Block 8_agricultural machinery and implement owned by the household as on the date of survey and related transactions.NSDstat
      </fileName>
      <fileCont>
        This file contains combined information on visits 1 and 2 about agricultural machinery and implement owned by the household as on the date of survey and related transactions.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V921"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          245329
        </caseQnty>
        <varQnty>
          32
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F30" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=29&amp;Name=Visit 1 &amp; 2 Combined_Block 9_non-farm business equipment owned by the household as on date of survey and related transactions">
    <fileTxt>
      <fileName>
        Visit 1 &amp; 2 Combined_Block 9_non-farm business equipment owned by the household as on date of survey and related transactions.NSDstat
      </fileName>
      <fileCont>
        This file contains combined information on visits 1 and 2 about non-farm business equipment owned by the household as on date of survey and related transactions.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V953"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          92223
        </caseQnty>
        <varQnty>
          32
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F31" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=30&amp;Name=Visit 1 &amp; 2 Combined_Block 10_transport  equipment owned by  the  household as on the date of  survey and  related tnansactions ">
    <fileTxt>
      <fileName><![CDATA[Visit 1 & 2 Combined_Block 10_transport  equipment owned by  the  household as on the date of  survey and  related tnansactions .NSDstat]]></fileName>
      <fileCont><![CDATA[This file contains combined information on visits 1 and 2 about transport  equipment owned by  the  household as on the date of  survey and  related tnansactions during  01-07-2002 to date  of  survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V986"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          160717
        </caseQnty>
        <varQnty>
          33
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F32" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=31&amp;Name=Visit 1 &amp; 2 Combined_Block 11_durable assets owned by the household as on the date of survey and related transactions">
    <fileTxt>
      <fileName>
        Visit 1 &amp; 2 Combined_Block 11_durable assets owned by the household as on the date of survey and related transactions.NSDstat
      </fileName>
      <fileCont><![CDATA[This file contains combined information on visits 1 and 2 about durable assets owned by the household as on the date of survey and related transactions during   01-07-2002 to the date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V1018"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          2228367
        </caseQnty>
        <varQnty>
          32
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F33" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=32&amp;Name=Visit 1 &amp; 2 Combined_Block 12_shares &amp; debentures owned by the household in co operative societies &amp; companies as on the date  of  survey and  related  transactions">
    <fileTxt>
      <fileName><![CDATA[Visit 1 & 2 Combined_Block 12_shares & debentures owned by the household in co operative societies & companies as on the date  of  survey and  related  transactions.NSDstat]]></fileName>
      <fileCont><![CDATA[This file contains combined information on visits 1 and 2 about shares &debentures owned by the household in co operative societies & companies as on the date  of  survey and  related  transactions during  01-07-2002  to date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V1046"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          19843
        </caseQnty>
        <varQnty>
          28
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F34" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=33&amp;Name=Visit 1 &amp; 2 Combined_Block 13_financial assets other than shares &amp; debentures owned by the household as on the date  of  survey and  related  transactions">
    <fileTxt>
      <fileName><![CDATA[Visit 1 & 2 Combined_Block 13_financial assets other than shares & debentures owned by the household as on the date  of  survey and  related  transactions.NSDstat]]></fileName>
      <fileCont><![CDATA[This file contains combined information on visits 1 and 2 about financial assets other than shares &debentures owned by the household as on the date  of  survey and  related  transactions during  01-07-2002  to the date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V1076"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          335034
        </caseQnty>
        <varQnty>
          30
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F35" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=34&amp;Name=Visit 1 &amp; 2 Combined_Block 14_cash loans and kind loans receivable by household against different securities or heads on the date of survey and related transactions">
    <fileTxt>
      <fileName>
        Visit 1 &amp; 2 Combined_Block 14_cash loans and kind loans receivable by household against different securities or heads on the date of survey and related transactions.NSDstat
      </fileName>
      <fileCont>
        This file contains combined information on visits 1 and 2 about cash loans and kind loans receivable by household against different securities/heads on the date of survey and related transactions during 01-07-2002 to date of survey.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V1104"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          13757
        </caseQnty>
        <varQnty>
          28
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F36" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=35&amp;Name=Visit 1 &amp; 2 Combined_Block 15pt1_number of cash loans of the household outstanding as on date of survey and number of loans fully repaid or written off">
    <fileTxt>
      <fileName>
        Visit 1 &amp; 2 Combined_Block 15pt1_number of cash loans of the household outstanding as on date of survey and number of loans fully repaid or written off.NSDstat
      </fileName>
      <fileCont>
        This file contains combined information on visits 1 and 2 about number of cash loans of the household outstanding as on date of survey and number of loans fully repaid/ written off during 01.07.2002 to date of survey.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V1136"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          275996
        </caseQnty>
        <varQnty>
          32
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F37" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=36&amp;Name=Visit 1 &amp; 2 Combined_Block 15pt2 part 1_particulars of cash loans payable by the household to institutional or non-institutional agencies as on the date of survey and   transactions of loans">
    <fileTxt>
      <fileName><![CDATA[Visit 1 & 2 Combined_Block 15pt2 part 1_particulars of cash loans payable by the household to institutional or non-institutional agencies as on the date of survey and   transactions of loans.NSDstat]]></fileName>
      <fileCont><![CDATA[This file contains combined information on visits 1 and 2 about particulars of cash loans payable by the household to institutional/ non-institutional agencies as on the date of survey and   transactions of loans during 01-07-2002 to date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V1175"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          208006
        </caseQnty>
        <varQnty>
          39
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F38" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=37&amp;Name=Visit 1 &amp; 2 Combined_Block 15pt2 part 2_particulars of cash loans payable by the household to institutional or non-institutional agencies as on the date of survey and   transactions of loans">
    <fileTxt>
      <fileName><![CDATA[Visit 1 & 2 Combined_Block 15pt2 part 2_particulars of cash loans payable by the household to institutional or non-institutional agencies as on the date of survey and   transactions of loans.NSDstat]]></fileName>
      <fileCont><![CDATA[This file contains combined information on visits 1 and 2 about particulars of cash loans payable by the household to institutional/ non-institutional agencies as on the date of survey and   transactions of loans during 01-07-2002 to date of survey.]]></fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V1207"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          208041
        </caseQnty>
        <varQnty>
          32
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F39" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=38&amp;Name=Visit 1 &amp; 2 Combined_Block 16_kind loans and other liabilities payable by the household">
    <fileTxt>
      <fileName>
        Visit 1 &amp; 2 Combined_Block 16_kind loans and other liabilities payable by the household.NSDstat
      </fileName>
      <fileCont>
        This file contains combined information on visits 1 and 2 regarding kind loans and other liabilities payable by the household as on the date of survey.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V1236"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          41162
        </caseQnty>
        <varQnty>
          29
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F40" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=39&amp;Name=Visit 1 &amp; 2 Combined_Block 17pt1_specified items on which household incurred expenditure">
    <fileTxt>
      <fileName>
        Visit 1 &amp; 2 Combined_Block 17pt1_specified items on which household incurred expenditure.NSDstat
      </fileName>
      <fileCont>
        This file contains combined information on visits 1 and 2 regarding specified items on which household incurred expenditure during 01-07-2002 to 31-12-2002.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V1262"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          9587852
        </caseQnty>
        <varQnty>
          26
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F41" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=40&amp;Name=Visit 1 &amp; 2 Combined_Block 17pt2_expenditure incurred by the household on specified items">
    <fileTxt>
      <fileName>
        Visit 1 &amp; 2 Combined_Block 17pt2_expenditure incurred by the household on specified items.NSDstat
      </fileName>
      <fileCont>
        This file contains combined information on visits 1 and 2 regarding expenditure incurred by the household on specified items during 01.07.2002 to 31.12.2002.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V1296"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          106364
        </caseQnty>
        <varQnty>
          34
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F42" URI="NSSO_59_Schedule_18pt2_Debt &amp; Investment.Nesstar?Index=41&amp;Name=Visit 1 &amp; 2 Combined_Block 18_Particulars of sale and loss of assets during 01-07-2002 to 31-12-2002">
    <fileTxt>
      <fileName>
        Visit 1 &amp; 2 Combined_Block 18_Particulars of sale and loss of assets during 01-07-2002 to 31-12-2002.NSDstat
      </fileName>
      <fileCont>
        This file contains combined information on visits 1 and 2 regarding particulars of sale and loss of assets during 01-07-2002 to 31-12-2002.
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F22 F23" keyvar="V1324"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          36536
        </caseQnty>
        <varQnty>
          28
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="record" var="V2 V3 V5 V6 V7 V30 V8 V9 V10 V11 V12 V13 V14 V15 V16">
      <labl>
        Geographical identifiers
      </labl>
    </varGrp>
    <var ID="V29" name="HHID" files="F1" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a household
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This is a primary key to uniquely identify a household. This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1" name="CentreCodeRndShift" files="F1" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2" name="Vill_Blk_Slno" files="F1" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V3" name="Round" files="F1" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          143285
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V4" name="Schedule" files="F1" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          143285
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V5" name="Sample" files="F1" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          143285
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V6" name="Sector" files="F1" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          91192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          52093
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V7" name="State_Region" files="F1" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V30" name="State" files="F1" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          2323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          2344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          3975
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          503
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          1169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          2630
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          6672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          16469
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          8185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          2561
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1889
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          4766
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          11120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          3523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          4273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          2637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          6586
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          4553
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          11661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          9366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          6260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          6029
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          11235
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          670
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          593
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V8" name="District" files="F1" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V9" name="Stratum" files="F1" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="SubRound" files="F1" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          71644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          71641
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V11" name="SubSample" files="F1" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          71702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          71583
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V12" name="FOD_SubRegion" files="F1" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V13" name="HG_SubBlkNo" files="F1" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V14" name="Second_Stratum" files="F1" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V15" name="Visit_no" files="F1" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          143285
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V16" name="Hhold_no" files="F1" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V17" name="Level" files="F1" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          143285
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V19" name="Resp_Code" files="F1" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Response Code
      </labl>
      <sumStat type="vald">
        143262
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The entry against this item has been made after collecting all the required information for all the items in the schedule.  The entry has been in code on the basis of the impression formed by the investigator regarding overall quality of response of the informant and the informant's perception about the schedule.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl><![CDATA[ informant : cooperative and  capable]]></labl>
        <catStat type="freq">
          101798
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          informant : cooperative but not capable
        </labl>
        <catStat type="freq">
          36712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          informant : busy
        </labl>
        <catStat type="freq">
          1910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          informant : reluctant
        </labl>
        <catStat type="freq">
          2384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          457
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V18" name="Informant_Slno" files="F1" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Informant Sl.No.
      </labl>
      <sumStat type="vald">
        143279
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V20" name="Survey_Code" files="F1" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The item records whether the originally selected household or a substitute house­hold has been surveyed or no household could be surveyed.  The entries have been made in terms of codes.  

It is to be noted that the survey codes are different for the schedules of visit-1 and visit-2.

(i)  In the schedule  of visit-1, whether the originally selected household or a substitute household has been surveyed will be indicated against this item by recording code '1' if the originally selected household has been surveyed and code '2' if the substitute household has been surveyed.  If neither the originally selected household nor a substitute household could be surveyed, i.e. if the sample household is a casualty, code '3' will be recorded in the first visit.
(ii)   The survey codes for visit-2 are as follows:

household surveyed in the first visit is surveyed in the second visit ..........	1
household surveyed in the first visit is casualty in the second visit  .........	3

In case of a casualty only the blocks 0 to 2, 19 and 20 are to be filled up and on the top of the front page of the schedule  the word 'CASUALTY' will be written in block capitals.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V21" name="Substn_Code" files="F1" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        Substitution Code
      </labl>
      <sumStat type="vald">
        3753
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        If the originally selected household could not be sur­veyed, irrespective of whether a substituted household could be surveyed or not, the reason for the one originally selected becoming a casualty has been recorded against this item in terms of codes.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          informant busy
        </labl>
        <catStat type="freq">
          203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          members away from home
        </labl>
        <catStat type="freq">
          2988
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          informant non-cooperative
        </labl>
        <catStat type="freq">
          363
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          199
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V22" name="No_Partitioned_Hhold_For_Visit2" files="F1" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        No.of partitioned hhlds.(for visit 2)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[This item will be filled-in during visit 2 only. It is generally not expected that a household surveyed in the first visit will be partitioned during the period intervening the two visits. On rare occasions, when it is found to have been partitioned in the second visit, total number of households formed from the parent household due to partition will be entered against this item. In all other cases, a dash (-) will be put against this item. In case, a household of visit 1 is partitioned before visit 2, the partitioned household with the senior most household member of the parent household living in the sample village / block will be surveyed. 

However, for the purpose of this survey, a household will be considered to have been partitioned only when some of the household members, as enumerated in the first visit, are found to have left the parent household and established a separate new household and consequent to this split, land and other assets held by the parent household during the first visit is also found to have been partitioned.

It is essential to keep in mind that the following cases will not be treated as partitioning of a household for the purpose of the survey.
(i)	When a member, after leaving the parent household becomes member of another household already in existence, it will not be treated as a case of partitioning of the parent household.  For example, when a girl goes to her in-laws' household after marriage, it will not be treated as partitioning of the parents' household, even if she is given some land and other assets of the parent household as gift.

(ii)	If some members of a household go away and establish a new household but the possession of land owned by them is retained by the parent household, it will not be treated as partitioning.  For example, if a son of the head of the household goes elsewhere for his studies and the land owned by him remains under the possession of the parent household, it will not be treated to have been partitioned.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V23" name="Survey_Date" files="F1" intrvl="discrete">
      <location StartPos="54" EndPos="59" width="6" RecSegNo="1"/>
      <labl>
        Date of Survey
      </labl>
      <sumStat type="vald">
        143284
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V24" name="Despatch_Date" files="F1" intrvl="discrete">
      <location StartPos="60" EndPos="65" width="6" RecSegNo="1"/>
      <labl>
        Date of Despatch
      </labl>
      <sumStat type="vald">
        143284
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V25" name="TimeToCanvass" files="F1" intrvl="discrete">
      <location StartPos="66" EndPos="68" width="3" RecSegNo="1"/>
      <labl>
        Time to canvass(mins.)
      </labl>
      <sumStat type="vald">
        143263
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V26" name="NSS" files="F1" intrvl="discrete">
      <location StartPos="69" EndPos="70" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V27" name="NSC" files="F1" intrvl="discrete">
      <location StartPos="71" EndPos="73" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V28" name="MLT" files="F1" dcml="2" intrvl="contin">
      <location StartPos="74" EndPos="82" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="421093.16"/>
      </valrng>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        421093.16
      </sumStat>
      <sumStat type="mean">
        2819.139
      </sumStat>
      <sumStat type="stdev">
        4763.236
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="Weight" wgt="wgt" files="F1" dcml="2" intrvl="contin">
      <location StartPos="83" EndPos="89" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="2105.4658"/>
      </valrng>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        2105.466
      </sumStat>
      <sumStat type="mean">
        14.192
      </sumStat>
      <sumStat type="stdev">
        24.662
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="HHID" files="F2" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a household
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This is a primary key to uniquely identify a household. This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V32" name="CentreCodeRndShift" files="F2" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V33" name="Vill_Blk_Slno" files="F2" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V34" name="Round" files="F2" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          143285
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V35" name="Schedule" files="F2" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          143285
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V36" name="Sample" files="F2" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          143285
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V37" name="Sector" files="F2" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          91192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          52093
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V38" name="State_Region" files="F2" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V68" name="State" files="F2" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          2323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          2344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          3975
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          503
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          1169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          2630
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          6672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          16469
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          8185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          2561
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1889
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          4766
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          11120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          3523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          4273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          2637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          6586
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          4553
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          11661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          9366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          6260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          6029
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          11235
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          670
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          593
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V39" name="District" files="F2" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V40" name="Stratum" files="F2" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V41" name="SubRound" files="F2" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          71644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          71641
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V42" name="SubSample" files="F2" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          71702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          71583
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V43" name="FOD_SubRegion" files="F2" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V44" name="HG_SubBlkNo" files="F2" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V45" name="Second_Stratum" files="F2" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V46" name="Visit_no" files="F2" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          143285
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V47" name="Hhold_no" files="F2" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V48" name="Level" files="F2" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          143285
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1327" name="B3_q1" files="F2" dcml="0" intrvl="contin">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Household size
      </labl>
      <qstn>
        <qstnLit>
          How many members are there in the household?
        </qstnLit>
        <ivuInstr>
          The size of the sample household i.e., the total number of persons normally residing together (i.e., under the same roof) and taking food from the same kitchen (including temporary stayaways and excluding temporary visitors) will be recorded against this item. This number will be same as the last serial number recorded in column 1 of block 4.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A group of persons normally living together and taking food from a common kitchen constitutes a household. The word "normally" means that temporary visitors are excluded but temporary stay-aways are included. Thus a son or daughter residing in a hostel for studies is excluded from the household of his/her parents, but a resident employee or resident domestic servant or paying guest (but not just a tenant in the house) is included in the employer/host's household. "Living together" is usually given more importance than "sharing food from a common kitchen" in drawing the boundaries of a household in case the two criteria are in conflict; however, in the special case of a person taking food with his family but sleeping elsewhere (say in a shop or a different house) due to space shortage, the household formed by such a person's family members is taken to include the person also. Each inmate of a mess, hotel, boarding and lodging house, hostel, etc. is considered as a single-member household except that a family living in a hotel (say) is considered as one household only; the same applies to residential staff of such establishments.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V50" name="B3_q2" files="F2" intrvl="discrete">
      <location StartPos="50" EndPos="54" width="5" RecSegNo="1"/>
      <labl>
        Principal industry(NIC-98) code
      </labl>
      <qstn>
        <qstnLit>
          Which industry are the members working in?
        </qstnLit>
        <ivuInstr>
          The description of the principal household industry will be recorded in the space provided. The entry cell for item 2 has been split for recording each digit separately. The appropriate five-digit industry code of the NIC 1998 will be recorded here. For households deriving income from non-economic activities only, a dash (-) may be put against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        135717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V51" name="B3_q3" files="F2" intrvl="discrete">
      <location StartPos="55" EndPos="57" width="3" RecSegNo="1"/>
      <labl>
        Principal occupation (NC0-68) code
      </labl>
      <qstn>
        <ivuInstr>
          The description of the principal household occupation will be recorded in the space provided. The appropriate three-digit occupation code of the NCO 1968 is to be recorded in the entry cell which has been trisected for recording each digit separately. For households deriving income from non-economic activities only, a dash (-) may be put against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        135670
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V52" name="B3_q4" files="F2" intrvl="discrete">
      <location StartPos="58" EndPos="58" width="1" RecSegNo="1"/>
      <labl>
        Household type
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The household type code based on the means of livelihood of a household will be decided on the basis of the source of the household's income during the 365 days preceding the date of survey.  For this purpose, only the household's income (net income and not gross income) from economic activities will be considered; but the incomes of servants and paying guests will not be taken into account. For the rural areas, the selected household will be assigned appropriate type code out of the following five different household type codes:

       self-employed in non-agriculture…	1        self-employed in agriculture ....	4
       agricultural labour .....................….	2        others .................................        9
       other labour  ………………………	3

 For urban areas, the household type codes are as follows:

           self-employed - 1,   regular wage/salary earning - 2,   casual labour - 3,   others - 9.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        143139
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V67" name="HH_Type" files="F2" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        Household type with sector
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          self-employed in non-agriculture - rural
        </labl>
        <catStat type="freq">
          13811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          agricultural labour - rural
        </labl>
        <catStat type="freq">
          22050
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[other labour  - rural ]]></labl>
        <catStat type="freq">
          9993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          self-employed in agriculture - rural
        </labl>
        <catStat type="freq">
          33751
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Others - rural
        </labl>
        <catStat type="freq">
          11480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          self-employed - urban
        </labl>
        <catStat type="freq">
          19986
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          regular wage/salary earning - urban
        </labl>
        <catStat type="freq">
          21737
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          casual labour - urban
        </labl>
        <catStat type="freq">
          6266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Others - urban
        </labl>
        <catStat type="freq">
          4065
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived by concatenating the variables "sector" and "household type" to enable the users to easily access information on "sector wise household type".
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V53" name="B3_q5" files="F2" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        Religion
      </labl>
      <qstn>
        <qstnLit>
          Which religion does the household belong to?
        </qstnLit>
        <ivuInstr><![CDATA[The religion of the household will be recorded against this item in codes. If different mem­bers of the household claim to belong to different religions, the religion of the head of the household will be considered as the religion of the household. The codes are:
            
                Hinduism  ..........	1                  Jainism  .................	5
                Islam  .................	2                  Buddhism  .............	6
                Christianity  ........	3                  Zoroastrianism ......	7
                Sikhism  ..............	4                  others ....................	9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        143272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Hinduism
        </labl>
        <catStat type="freq">
          112164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Islam
        </labl>
        <catStat type="freq">
          17504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Christianity
        </labl>
        <catStat type="freq">
          7970
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sikhism
        </labl>
        <catStat type="freq">
          2754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Jainism
        </labl>
        <catStat type="freq">
          381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Buddhism
        </labl>
        <catStat type="freq">
          1472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Zoroastrianism
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1021
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V54" name="B3_q6" files="F2" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        Social group
      </labl>
      <qstn>
        <qstnLit>
          Which social group does the household belong to?
        </qstnLit>
        <ivuInstr><![CDATA[Whether or not the household belongs to scheduled tribe, scheduled caste or other backward class will be indicated against this item in terms of the specified codes which are:
           
            scheduled tribe - 1,   scheduled caste - 2,   other backward classes - 3,  others - 9.

Those who do not come under any one of the first three social groups will be assigned code 9 meant to cover all other categories. In case different members belong to different social groups, the group to which the head of the household belongs will be considered as the 'social group' of the household.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        143272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Scheduled Tribe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Scheduled Caste
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other Backward Class
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V55" name="B3_q7" files="F2" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        Operated any land for agr. activities?
      </labl>
      <qstn>
        <qstnLit>
          Whether operated any land for agricultural activities during last 365 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        143270
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          60302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          82965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V56" name="B3_q8" files="F2" dcml="3" intrvl="contin">
      <location StartPos="64" EndPos="69" width="6" RecSegNo="1"/>
      <labl>
        Area operated by the hhld. (hectares 0.000)
      </labl>
      <qstn>
        <qstnLit>
          Whether operated any land for agricultural activities during last 365 days and if yes, how much area was operated?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="60.1"/>
      </valrng>
      <sumStat type="vald">
        60019
      </sumStat>
      <sumStat type="invd">
        83266
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        60.1
      </sumStat>
      <sumStat type="mean">
        1.017
      </sumStat>
      <sumStat type="stdev">
        1.786
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V57" name="B3_q9" files="F2" intrvl="discrete">
      <location StartPos="70" EndPos="70" width="1" RecSegNo="1"/>
      <labl>
        Member having Kisan credit card?
      </labl>
      <qstn>
        <qstnLit><![CDATA[Whether  any household member has  any  kisan credit card?]]></qstnLit>
      </qstn>
      <sumStat type="vald">
        143200
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Kisan Credit Card Scheme aims at timely and adequate support from banking system to the farmers for their cultivation needs including purchase of inputs in a flexible and cost effective manner.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          2216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          140979
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V58" name="B3_q10" files="F2" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="76" width="6" RecSegNo="1"/>
      <labl>
        Amount received (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[Whether  any household member has  any  kisan credit card  and  if  yes, how much amount was received during last 365 days?]]></qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="340000"/>
      </valrng>
      <sumStat type="vald">
        1519
      </sumStat>
      <sumStat type="invd">
        141766
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        340000
      </sumStat>
      <sumStat type="mean">
        21357.831
      </sumStat>
      <sumStat type="stdev">
        30412.467
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V59" name="B3_q11" files="F2" dcml="0" intrvl="contin">
      <location StartPos="77" EndPos="82" width="6" RecSegNo="1"/>
      <labl>
        Consumer exp. out of purchase (Rs.)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The household consumer expenditure during last 30 days is to be ascertained through a direct question under two broad categories namely (1) out of purchases (both of goods and services) and (2) out of  homegrown/ home produced stock, free collection and transfer receipts etc.  These will be recorded in whole number in nearest rupees against items 11 and 12.  The total of items 11 and 12 will be recorded against item 13.  This entry will also be recorded in whole number of rupees.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="250000"/>
      </valrng>
      <sumStat type="vald">
        142510
      </sumStat>
      <sumStat type="invd">
        775
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        250000
      </sumStat>
      <sumStat type="mean">
        2580.212
      </sumStat>
      <sumStat type="stdev">
        2439.828
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V60" name="B3_q12" files="F2" dcml="0" intrvl="contin">
      <location StartPos="83" EndPos="88" width="6" RecSegNo="1"/>
      <labl>
        Cons. Exp. - home-grown stock etc. (Rs.)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The household consumer expenditure during last 30 days is to be ascertained through a direct question under two broad categories namely (1) out of purchases (both of goods and services) and (2) out of  homegrown/ home produced stock, free collection and transfer receipts etc.  These will be recorded in whole number in nearest rupees against items 11 and 12.  The total of items 11 and 12 will be recorded against item 13.  This entry will also be recorded in whole number of rupees.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="492090"/>
      </valrng>
      <sumStat type="vald">
        79421
      </sumStat>
      <sumStat type="invd">
        63864
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        492090
      </sumStat>
      <sumStat type="mean">
        783.109
      </sumStat>
      <sumStat type="stdev">
        2021.259
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V61" name="B3_q13" files="F2" dcml="0" intrvl="contin">
      <location StartPos="89" EndPos="94" width="6" RecSegNo="1"/>
      <labl>
        Total (Rs.)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The household consumer expenditure during last 30 days is to be ascertained through a direct question under two broad categories namely (1) out of purchases (both of goods and services) and (2) out of  homegrown/ home produced stock, free collection and transfer receipts etc.  These will be recorded in whole number in nearest rupees against items 11 and 12.  The total of items 11 and 12 will be recorded against item 13.  This entry will also be recorded in whole number of rupees.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="493334"/>
      </valrng>
      <sumStat type="vald">
        143222
      </sumStat>
      <sumStat type="invd">
        63
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        493334
      </sumStat>
      <sumStat type="mean">
        3001.643
      </sumStat>
      <sumStat type="stdev">
        2862.742
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V62" name="B3_q14" files="F2" dcml="2" intrvl="contin">
      <location StartPos="95" EndPos="102" width="8" RecSegNo="1"/>
      <labl>
        MPCE (Rs. 0.00)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The figure for this item would be obtained by dividing the entry against item 13 by the entry against item 1 (household size).  This will be recorded in Rupees in two places of decimal.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="98666.8"/>
      </valrng>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        98666.8
      </sumStat>
      <sumStat type="mean">
        663.63
      </sumStat>
      <sumStat type="stdev">
        633.643
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V63" name="NSS" files="F2" intrvl="discrete">
      <location StartPos="103" EndPos="104" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V64" name="NSC" files="F2" intrvl="discrete">
      <location StartPos="105" EndPos="107" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V65" name="MLT" files="F2" dcml="2" intrvl="contin">
      <location StartPos="108" EndPos="116" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="421093.16"/>
      </valrng>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        421093.16
      </sumStat>
      <sumStat type="mean">
        2819.139
      </sumStat>
      <sumStat type="stdev">
        4763.236
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V69" name="Weight" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="117" EndPos="123" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="2105.4658"/>
      </valrng>
      <sumStat type="vald">
        143285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        2105.466
      </sumStat>
      <sumStat type="mean">
        14.192
      </sumStat>
      <sumStat type="stdev">
        24.662
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V101" name="Person_key" files="F3" intrvl="discrete">
      <location StartPos="1" EndPos="12" width="12" RecSegNo="1"/>
      <labl>
        Primary key - unique identifier for a member in a household
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for uniquely identifying  a person within a household by combining HHID (key to identify a household) and serial number of members.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V100" name="HHID" files="F3" intrvl="discrete">
      <location StartPos="13" EndPos="22" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V70" name="CentreCodeRndShift" files="F3" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V71" name="Vill_Blk_Slno" files="F3" intrvl="discrete">
      <location StartPos="26" EndPos="30" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V72" name="Round" files="F3" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          709291
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V73" name="Schedule" files="F3" intrvl="discrete">
      <location StartPos="33" EndPos="35" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          709291
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V74" name="Sample" files="F3" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          709291
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V75" name="Sector" files="F3" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          456571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          252720
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V76" name="State_Region" files="F3" intrvl="discrete">
      <location StartPos="38" EndPos="40" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V102" name="State" files="F3" intrvl="discrete">
      <location StartPos="41" EndPos="42" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          13170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          11146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          20258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          2233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          5863
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          14048
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          11367
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          36609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          95909
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          46966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          5931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          5892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          4079
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          13654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          9318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          10282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          8708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          23966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          52286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          18161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          20041
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          13596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          35462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          23490
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          1039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          1613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          57030
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          38226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          29978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          1732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          1481
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          26868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          43462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          2740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          2687
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V77" name="District" files="F3" intrvl="discrete">
      <location StartPos="43" EndPos="44" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V78" name="Stratum" files="F3" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V79" name="SubRound" files="F3" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          354537
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          354754
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V80" name="SubSample" files="F3" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          355857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          353434
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V81" name="FOD_SubRegion" files="F3" intrvl="discrete">
      <location StartPos="49" EndPos="52" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V82" name="HG_SubBlkNo" files="F3" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V83" name="Second_Stratum" files="F3" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V84" name="Visit_no" files="F3" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          709291
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V85" name="Hhold_no" files="F3" intrvl="discrete">
      <location StartPos="56" EndPos="57" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V86" name="Level" files="F3" intrvl="discrete">
      <location StartPos="58" EndPos="59" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          709291
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V87" name="B4_q1" files="F3" intrvl="discrete">
      <location StartPos="60" EndPos="61" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <qstn>
        <ivuInstr>
          All the members of the sample household will be listed in block 4 using a continuous serial number in column (1). In the list, the head of the household will appear first followed by head's spouse, the first son, first son's wife and their children, second son, second son's wife and their children &amp; so on. After the sons are enumerated, the daughters will be listed followed by other relations, dependants, servants, etc.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V88" name="B4_q3" files="F3" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        Relation to head
      </labl>
      <qstn>
        <qstnLit>
          What is your relation to head of the household?
        </qstnLit>
        <ivuInstr>
          The family relationship of each member of the household with the head of the household (for the head, the relationship is 'self') expressed in terms of specified codes will be recorded in this column.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        709286
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Self
        </labl>
        <catStat type="freq">
          143282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse of head
        </labl>
        <catStat type="freq">
          115542
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married child
        </labl>
        <catStat type="freq">
          35249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Spouse of married child
        </labl>
        <catStat type="freq">
          34030
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unmarried child
        </labl>
        <catStat type="freq">
          274777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchild
        </labl>
        <catStat type="freq">
          58107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Father/mother/father-in-law/mother-in-law
        </labl>
        <catStat type="freq">
          18635
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Brother/sister/brother-in-law/sister-in-law/other relatives
        </labl>
        <catStat type="freq">
          28414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Servant/employee/or non-relatives
        </labl>
        <catStat type="freq">
          1250
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V89" name="B4_q4" files="F3" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <qstn>
        <qstnLit>
          Sex of the member
        </qstnLit>
        <ivuInstr>
          For each and every member of the household, sex in terms of the code (male-1, female-2) will be recorded in this column. For eunuch, code '1' will be recorded.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        709285
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          364703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          344582
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V90" name="B4_q5" files="F3" dcml="0" intrvl="contin">
      <location StartPos="64" EndPos="65" width="2" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          Age of the member
        </qstnLit>
        <ivuInstr><![CDATA[The age in completed years of all the members listed will be ascertained and recorded in column (5).  For infants below one year of age at the time of listing, '0' will be entered in column (5). Similarly, for persons of age 99 years or more, 99 will be entered in this column.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        709161
      </sumStat>
      <sumStat type="invd">
        130
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        26.147
      </sumStat>
      <sumStat type="stdev">
        18.871
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V91" name="B4_q6" files="F3" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        Marital status
      </labl>
      <qstn>
        <qstnLit>
          Marital status of the member
        </qstnLit>
        <ivuInstr>
          The marital status of each member will be recorded in terms of the specified code in this column.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        709209
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          356165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Currently married
        </labl>
        <catStat type="freq">
          316258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          34131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/separated
        </labl>
        <catStat type="freq">
          2655
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V92" name="B4_q7" files="F3" intrvl="discrete">
      <location StartPos="67" EndPos="68" width="2" RecSegNo="1"/>
      <labl>
        General education
      </labl>
      <qstn>
        <qstnLit>
          Education of the member
        </qstnLit>
        <ivuInstr><![CDATA[Information regarding the level of general education attained by the members of the household listed will be recorded in column (7) in terms of the specified code. For the purpose of making entries in this column, only the course successfully completed will be considered. For instance, for a person who has studied up to say, first year B.A., his/her educational attainment will be considered as higher secondary (code 07).  For a person who has studied up to 12th standard but has not appeared for the final examination or has failed, his/her educational attainment will be considered under 'secondary' (code 06).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        708959
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Not literate
        </labl>
        <catStat type="freq">
          272514
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Literate without formal schooling
        </labl>
        <catStat type="freq">
          10112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Literate but below primary
        </labl>
        <catStat type="freq">
          107096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          102684
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Middle
        </labl>
        <catStat type="freq">
          100868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          55349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Higher secondary
        </labl>
        <catStat type="freq">
          28415
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Diploma / certificate course
        </labl>
        <catStat type="freq">
          3972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Graduate
        </labl>
        <catStat type="freq">
          21685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Post graduate and above
        </labl>
        <catStat type="freq">
          6264
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V93" name="B4_q8" files="F3" intrvl="discrete">
      <location StartPos="69" EndPos="70" width="2" RecSegNo="1"/>
      <labl>
        Usual activity-principal status
      </labl>
      <qstn>
        <ivuInstr>
          The appropriate activity status code from the list of the codes is to be reported in here.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        708944
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an own account worker    ]]></labl>
        <catStat type="freq">
          83844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an employer    ]]></labl>
        <catStat type="freq">
          1980
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as  ‘helper’                                      ]]></labl>
        <catStat type="freq">
          52406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[worked as regular salaried/wage employee     ]]></labl>
        <catStat type="freq">
          47005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl><![CDATA[worked as casual wage labour in public works                                                            ]]></labl>
        <catStat type="freq">
          1164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl><![CDATA[casual wage labour in other types of works                                                                ]]></labl>
        <catStat type="freq">
          69072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          seeking work and available for work
        </labl>
        <catStat type="freq">
          8382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl><![CDATA[attended educational institution                                                                                  ]]></labl>
        <catStat type="freq">
          183933
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl><![CDATA[attended domestic duties only                                                                                    ]]></labl>
        <catStat type="freq">
          100011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl><![CDATA[attended domestic duties and was also engaged in free collection of goods, tailoring, weaving, etc. for household use    ]]></labl>
        <catStat type="freq">
          41207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl><![CDATA[recipients of rent, pension, remittance, etc.                                    ]]></labl>
        <catStat type="freq">
          7976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl><![CDATA[not able to work due to disability                                                                        ]]></labl>
        <catStat type="freq">
          5210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl><![CDATA[beggars, prostitutes, etc.                                                                                        ]]></labl>
        <catStat type="freq">
          269
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl><![CDATA[others                                                                                                                    ]]></labl>
        <catStat type="freq">
          106166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          319
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V94" name="B4_q9" files="F3" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        Usual activity-NIC-98 code
      </labl>
      <qstn>
        <ivuInstr>
          The appropriate activity status code from the list of the codes is to be reported in here.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        255215
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          128453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing
        </labl>
        <catStat type="freq">
          1184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas; service activities incidental to oil and gas extraction, excluding surveying
        </labl>
        <catStat type="freq">
          109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          3547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          2016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          4884
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          4097
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness and footwear
        </labl>
        <catStat type="freq">
          652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials
        </labl>
        <catStat type="freq">
          2623
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reporoduction of recorded media
        </labl>
        <catStat type="freq">
          620
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined poetroleum products and nuclear fuel
        </labl>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          1157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          2074
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery and equipment
        </labl>
        <catStat type="freq">
          1841
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          386
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment and apparatus
        </labl>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, watches and clocks
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipmenmt
        </labl>
        <catStat type="freq">
          261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          2989
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          15115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          1586
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicles and motorcycles
        </labl>
        <catStat type="freq">
          3027
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repair of personal and household goods
        </labl>
        <catStat type="freq">
          24096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          4396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          10187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of travel agencies
        </labl>
        <catStat type="freq">
          486
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          1207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension funding
        </labl>
        <catStat type="freq">
          1405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social security
        </labl>
        <catStat type="freq">
          309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of personal and household goods
        </labl>
        <catStat type="freq">
          388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          1479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defence; compulsory social security
        </labl>
        <catStat type="freq">
          8703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          7152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          2257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activities
        </labl>
        <catStat type="freq">
          380
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          3467
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          3774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organisations and bodies
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V96" name="B4_q11" files="F3" intrvl="discrete">
      <location StartPos="75" EndPos="76" width="2" RecSegNo="1"/>
      <labl>
        Subsidiary NIC-98code
      </labl>
      <qstn>
        <ivuInstr>
          The appropriate activity status code from the list of the codes is to be reported in here.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        81066
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          64626
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing
        </labl>
        <catStat type="freq">
          274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas; service activities incidental to oil and gas extraction, excluding surveying
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          881
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          725
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness and footwear
        </labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials
        </labl>
        <catStat type="freq">
          584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reporoduction of recorded media
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined poetroleum products and nuclear fuel
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          415
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery and equipment
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment and apparatus
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, watches and clocks
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipmenmt
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          3631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicles and motorcycles
        </labl>
        <catStat type="freq">
          244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repair of personal and household goods
        </labl>
        <catStat type="freq">
          2957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of travel agencies
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension funding
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social security
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of personal and household goods
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defence; compulsory social security
        </labl>
        <catStat type="freq">
          153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          469
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activities
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          509
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organisations and bodies
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V95" name="B4_q10" files="F3" intrvl="discrete">
      <location StartPos="73" EndPos="74" width="2" RecSegNo="1"/>
      <labl>
        Subsidiary status
      </labl>
      <qstn>
        <ivuInstr>
          The appropriate activity status code from the list of the codes is to be reported in here.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        81159
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an own account worker    ]]></labl>
        <catStat type="freq">
          25614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an employer    ]]></labl>
        <catStat type="freq">
          704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as  ‘helper’                                      ]]></labl>
        <catStat type="freq">
          32865
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[worked as regular salaried/wage employee     ]]></labl>
        <catStat type="freq">
          685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl><![CDATA[worked as casual wage labour in public works                                                            ]]></labl>
        <catStat type="freq">
          746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl><![CDATA[casual wage labour in other types of works                                                                ]]></labl>
        <catStat type="freq">
          20545
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V97" name="NSS" files="F3" intrvl="discrete">
      <location StartPos="77" EndPos="78" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V98" name="NSC" files="F3" intrvl="discrete">
      <location StartPos="79" EndPos="81" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V99" name="MLT" files="F3" dcml="2" intrvl="contin">
      <location StartPos="82" EndPos="90" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="421093.16"/>
      </valrng>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        421093.16
      </sumStat>
      <sumStat type="mean">
        2764.433
      </sumStat>
      <sumStat type="stdev">
        4459.991
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="Weight" wgt="wgt" files="F3" dcml="2" intrvl="contin">
      <location StartPos="91" EndPos="97" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="2105.4658"/>
      </valrng>
      <sumStat type="vald">
        709291
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        2105.466
      </sumStat>
      <sumStat type="mean">
        13.905
      </sumStat>
      <sumStat type="stdev">
        22.988
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V134" name="HHID" files="F4" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V104" name="CentreCodeRndShift" files="F4" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V105" name="Vill_Blk_Slno" files="F4" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V106" name="Round" files="F4" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          366157
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V107" name="Schedule" files="F4" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          366157
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V108" name="Sample" files="F4" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          366157
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V109" name="Sector" files="F4" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          286782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          79375
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V110" name="State_Region" files="F4" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V135" name="State" files="F4" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          7691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          10840
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          8863
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          559
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          3624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          6646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          20531
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          51526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          25614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          2727
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          3408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          2874
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          7140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          4234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          4869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          4312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          11886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          28675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          10572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          13577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          8356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          19288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          10866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          463
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          920
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          24935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          20274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          13648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          695
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          12630
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          19148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          988
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          589
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V111" name="District" files="F4" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V112" name="Stratum" files="F4" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V113" name="SubRound" files="F4" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          185661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          180496
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V114" name="SubSample" files="F4" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          184094
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          182063
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V115" name="FOD_SubRegion" files="F4" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V116" name="HG_SubBlkNo" files="F4" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V117" name="Second_Stratum" files="F4" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V118" name="Visit_no" files="F4" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          366157
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V119" name="Hhold_no" files="F4" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V120" name="Level" files="F4" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          366157
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V121" name="B5_q1" files="F4" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.of plot
      </labl>
      <qstn>
        <ivuInstr><![CDATA[A running serial number starting from 1 will be given in col. (1) of this block for all lines recording particulars of ownership/acquisition/disposal of land during the specified reference period.  It may be noted that, in most cases, there will be a gap between the last serial number entered by the investigator and serial number '98' printed in col.(1) against residential areas including house site.  No attempt need be made to bridge the gap by altering the serial number printed in the schedule.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V122" name="B5_q3" files="F4" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Type of land
      </labl>
      <qstn>
        <qstnLit>
          What type of land is owned/acquired/disposed of by the household?
        </qstnLit>
        <ivuInstr><![CDATA[This column is meant for recording the type of land owned/acquired/disposed of by the household during the specified reference period in terms of codes.  In case owned/acquired/disposed of area of a plot includes more than one type of land, the type which covers the maximum area of the plot under the ownership/acquisition/disposal will be considered as the type for making entry in this column.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        244895
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          seasonal crop area-irrigated
        </labl>
        <catStat type="freq">
          62133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          seasonal crop area-unirrigated
        </labl>
        <catStat type="freq">
          50345
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          orchards and plantations
        </labl>
        <catStat type="freq">
          5150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          water bodies
        </labl>
        <catStat type="freq">
          912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          exclusively for non-farm business
        </labl>
        <catStat type="freq">
          774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl><![CDATA[other  non-agricultural uses ]]></labl>
        <catStat type="freq">
          1853
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          residential area including house-site
        </labl>
        <catStat type="freq">
          119104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          other areas
        </labl>
        <catStat type="freq">
          4624
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V123" name="B5_q4" files="F4" dcml="3" intrvl="contin">
      <location StartPos="51" EndPos="57" width="7" RecSegNo="1"/>
      <labl>
        Area owned by the hhld.(hectares 0.000)
      </labl>
      <qstn>
        <qstnLit>
          How much area of land is owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[If the entire plot is owned by the members of the household on the date of survey, the owned area, which is the geographical area of the plot, will be recorded in hectares up to three places of decimal in col.(4).  However, if on the date of survey, the plot is owned jointly by members of two or more households, the actual area owned by the sample household in hectares up to three places of decimal will be recorded  in col.(4).  For example, if a plot of 5.000 hectares is owned equally by four brothers belonging to four different households and if one of them is selected for the survey, the entries in cols.(4) for the sample household will be 1.250 hectare respectively.  Cols. (4) and (5) will remain blank if no area of the plot is owned by the household on the date of survey but some area of the plot has been disposed of during 1.7.02 to the date of survey.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="144.407"/>
      </valrng>
      <sumStat type="vald">
        365525
      </sumStat>
      <sumStat type="invd">
        632
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        144.407
      </sumStat>
      <sumStat type="mean">
        0.387
      </sumStat>
      <sumStat type="stdev">
        1.294
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V124" name="B5_q5" files="F4" dcml="0" intrvl="contin">
      <location StartPos="58" EndPos="65" width="8" RecSegNo="1"/>
      <labl>
        Value on date of survey (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of land owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[For each plot, value will be recorded in rupees (whole no.) in col.(5) and/or (7) and /or (9) depending whether an area of the plots is owned as on the date of survey or acquired or disposed of during the reference period.  It may be emphasised that as per the procedure laid down, if a piece of land is acquired during the reference period and is owned on the date of survey, the value to be recorded in col.(5) and col.(7) will be the same.  Similarly, if a piece of land is acquired and then disposed of during the reference period, the value to be recorded in col. (7) and col. (9) will be the same.  However, if a part of the plot which is acquired during 1.7.02 to the date of survey, is disposed of during the said reference period and the remaining part of the plot is owned on the date of survey, then the entries to be made in col.(5) & (9) together will be same as that in col.(7).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="80120000"/>
      </valrng>
      <sumStat type="vald">
        365243
      </sumStat>
      <sumStat type="invd">
        914
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        80120000
      </sumStat>
      <sumStat type="mean">
        138786.743
      </sumStat>
      <sumStat type="stdev">
        510298.766
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V125" name="B5_q6" files="F4" dcml="3" intrvl="contin">
      <location StartPos="66" EndPos="72" width="7" RecSegNo="1"/>
      <labl>
        Transaction-acquisition-Area (hectares 0.000)
      </labl>
      <qstn>
        <qstnLit>
          How much area of land is transacted/acquired by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Information relating to the area (hectares 0.000) and value (Rs.) of the transactions of land that take place during 1.7.02 to the date of survey will be recorded in cols. (6) to (9).  Under transaction, information will be collected separately for acquisition and for disposal.  Acquisition will mean addition to stock by way of purchase, gift, inheritance etc. and disposal will result in depletion of stock by way of sale, gift etc.  Inheritance will be considered as acquisition only when inheritor belongs to a different household.  Leasing in and leasing out of land will not be treated as acquisition or disposal of land.  Area and value of all pieces of land acquired during 1.7.02 to the date of survey will be recorded in cols. (6) and (7) respectively irrespective of whether the piece of land is disposed of subsequently or owned, on the date of survey.  Similarly, area and value of all pieces of land disposed of during 1.7.02 to date of survey will be recorded in cols. (8) and (9) respectively irrespective of whether the piece of land has been acquired during the said reference period or prior to that.  Area will be recorded in hectares (three places of decimal).]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="305.876"/>
      </valrng>
      <sumStat type="vald">
        1746
      </sumStat>
      <sumStat type="invd">
        364411
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        305.876
      </sumStat>
      <sumStat type="mean">
        1.028
      </sumStat>
      <sumStat type="stdev">
        9.606
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V126" name="B5_q7" files="F4" dcml="0" intrvl="contin">
      <location StartPos="73" EndPos="80" width="8" RecSegNo="1"/>
      <labl>
        Transaction-acquisition-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of the land transacted/acquired by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Information relating to the area (hectares 0.000) and value (Rs.) of the transactions of land that take place during 1.7.02 to the date of survey will be recorded in cols. (6) to (9).  Under transaction, information will be collected separately for acquisition and for disposal.  Acquisition will mean addition to stock by way of purchase, gift, inheritance etc. and disposal will result in depletion of stock by way of sale, gift etc.  Inheritance will be considered as acquisition only when inheritor belongs to a different household.  Leasing in and leasing out of land will not be treated as acquisition or disposal of land.  Area and value of all pieces of land acquired during 1.7.02 to the date of survey will be recorded in cols. (6) and (7) respectively irrespective of whether the piece of land is disposed of subsequently or owned, on the date of survey.  Similarly, area and value of all pieces of land disposed of during 1.7.02 to date of survey will be recorded in cols. (8) and (9) respectively irrespective of whether the piece of land has been acquired during the said reference period or prior to that.  Area will be recorded in hectares (three places of decimal).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="50033948"/>
      </valrng>
      <sumStat type="vald">
        1679
      </sumStat>
      <sumStat type="invd">
        364478
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        50033948
      </sumStat>
      <sumStat type="mean">
        386007.439
      </sumStat>
      <sumStat type="stdev">
        2926632.543
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V127" name="B5_q8" files="F4" dcml="3" intrvl="contin">
      <location StartPos="81" EndPos="87" width="7" RecSegNo="1"/>
      <labl>
        Transaction-disposal-Area (hectares 0.000)
      </labl>
      <qstn>
        <qstnLit>
          How much area of land is transacted/disposed by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Information relating to the area (hectares 0.000) and value (Rs.) of the transactions of land that take place during 1.7.02 to the date of survey will be recorded in cols. (6) to (9).  Under transaction, information will be collected separately for acquisition and for disposal.  Acquisition will mean addition to stock by way of purchase, gift, inheritance etc. and disposal will result in depletion of stock by way of sale, gift etc.  Inheritance will be considered as acquisition only when inheritor belongs to a different household.  Leasing in and leasing out of land will not be treated as acquisition or disposal of land.  Area and value of all pieces of land acquired during 1.7.02 to the date of survey will be recorded in cols. (6) and (7) respectively irrespective of whether the piece of land is disposed of subsequently or owned, on the date of survey.  Similarly, area and value of all pieces of land disposed of during 1.7.02 to date of survey will be recorded in cols. (8) and (9) respectively irrespective of whether the piece of land has been acquired during the said reference period or prior to that.  Area will be recorded in hectares (three places of decimal).]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="305.876"/>
      </valrng>
      <sumStat type="vald">
        1037
      </sumStat>
      <sumStat type="invd">
        365120
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        305.876
      </sumStat>
      <sumStat type="mean">
        1.639
      </sumStat>
      <sumStat type="stdev">
        12.424
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V128" name="B5_q9" files="F4" dcml="0" intrvl="contin">
      <location StartPos="88" EndPos="95" width="8" RecSegNo="1"/>
      <labl>
        Transaction-disposal-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of the land transacted/disposed by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Information relating to the area (hectares 0.000) and value (Rs.) of the transactions of land that take place during 1.7.02 to the date of survey will be recorded in cols. (6) to (9).  Under transaction, information will be collected separately for acquisition and for disposal.  Acquisition will mean addition to stock by way of purchase, gift, inheritance etc. and disposal will result in depletion of stock by way of sale, gift etc.  Inheritance will be considered as acquisition only when inheritor belongs to a different household.  Leasing in and leasing out of land will not be treated as acquisition or disposal of land.  Area and value of all pieces of land acquired during 1.7.02 to the date of survey will be recorded in cols. (6) and (7) respectively irrespective of whether the piece of land is disposed of subsequently or owned, on the date of survey.  Similarly, area and value of all pieces of land disposed of during 1.7.02 to date of survey will be recorded in cols. (8) and (9) respectively irrespective of whether the piece of land has been acquired during the said reference period or prior to that.  Area will be recorded in hectares (three places of decimal).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="50033948"/>
      </valrng>
      <sumStat type="vald">
        1019
      </sumStat>
      <sumStat type="invd">
        365138
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        50033948
      </sumStat>
      <sumStat type="mean">
        549403.297
      </sumStat>
      <sumStat type="stdev">
        3743264.933
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V129" name="B5_q10" files="F4" dcml="3" intrvl="contin">
      <location StartPos="96" EndPos="102" width="7" RecSegNo="1"/>
      <labl>
        Land owned-Area (hectares 0.000)
      </labl>
      <qstn>
        <qstnLit>
          How much total area of land is owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The area and value of land owned as on 30.6.02 will be recorded in cols. (10) and (11) respectively.  The relevant entries, in these two columns, will be derived as follows:

(i)   col. (10) = col. (4) + col. (8) - col. (6)
(ii)  col. (11) = col. (5) + col. (9) - col. (7).]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="144.407"/>
      </valrng>
      <sumStat type="vald">
        364899
      </sumStat>
      <sumStat type="invd">
        1258
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        144.407
      </sumStat>
      <sumStat type="mean">
        0.387
      </sumStat>
      <sumStat type="stdev">
        1.295
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V130" name="B5_q11" files="F4" dcml="0" intrvl="contin">
      <location StartPos="103" EndPos="110" width="8" RecSegNo="1"/>
      <labl>
        Land owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of total land owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The area and value of land owned as on 30.6.02 will be recorded in cols. (10) and (11) respectively.  The relevant entries, in these two columns, will be derived as follows:

(i)   col. (10) = col. (4) + col. (8) - col. (6)
(ii)  col. (11) = col. (5) + col. (9) - col. (7).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="80120000"/>
      </valrng>
      <sumStat type="vald">
        364654
      </sumStat>
      <sumStat type="invd">
        1503
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        80120000
      </sumStat>
      <sumStat type="mean">
        138768.865
      </sumStat>
      <sumStat type="stdev">
        510664.961
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V131" name="NSS" files="F4" intrvl="discrete">
      <location StartPos="111" EndPos="112" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V132" name="NSC" files="F4" intrvl="discrete">
      <location StartPos="113" EndPos="115" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V133" name="MLT" files="F4" dcml="2" intrvl="contin">
      <location StartPos="116" EndPos="124" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="421093.16"/>
      </valrng>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        421093.16
      </sumStat>
      <sumStat type="mean">
        2986.659
      </sumStat>
      <sumStat type="stdev">
        4470.412
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V136" name="Weight" wgt="wgt" files="F4" dcml="2" intrvl="contin">
      <location StartPos="125" EndPos="131" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="2105.4658"/>
      </valrng>
      <sumStat type="vald">
        366157
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        2105.466
      </sumStat>
      <sumStat type="mean">
        15.017
      </sumStat>
      <sumStat type="stdev">
        22.967
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V164" name="HHID" files="F5" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V137" name="CentreCodeRndShift" files="F5" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V138" name="Vill_Blk_Slno" files="F5" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V139" name="Round" files="F5" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          286847
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V140" name="Schedule" files="F5" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          286847
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V141" name="Sample" files="F5" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          286847
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V142" name="Sector" files="F5" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          208961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          77886
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V143" name="State_Region" files="F5" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V165" name="State" files="F5" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          6055
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          5558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          8429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2475
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          6248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          15011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          37779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          18311
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          2399
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1665
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          2193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          5435
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          3679
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          5046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          3349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          11754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          22982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          7000
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          9083
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          5318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          13981
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          8846
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          20565
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          15615
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          10893
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          460
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          12757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          17154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          929
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          577
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V144" name="District" files="F5" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V145" name="Stratum" files="F5" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V146" name="SubRound" files="F5" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          144149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          142698
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V147" name="SubSample" files="F5" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          143755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          143092
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V148" name="FOD_SubRegion" files="F5" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V149" name="HG_SubBlkNo" files="F5" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V150" name="Second_Stratum" files="F5" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V151" name="Visit_no" files="F5" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          286847
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V152" name="Hhold_no" files="F5" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V153" name="Level" files="F5" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          05
        </catValu>
        <catStat type="freq">
          286847
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V154" name="B6_q1" files="F5" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          residential building
        </labl>
        <catStat type="freq">
          120242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[building  used for  farm business - barn (gola)]]></labl>
        <catStat type="freq">
          2224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[building  used for  farm business -animal shed]]></labl>
        <catStat type="freq">
          29683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[building  used for  farm business - farm house]]></labl>
        <catStat type="freq">
          1184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[building  used for  farm business - others]]></labl>
        <catStat type="freq">
          1728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[building used for  non-farm business - workplace/workshop]]></labl>
        <catStat type="freq">
          2505
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[building used for  non-farm business - shop]]></labl>
        <catStat type="freq">
          5664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[building used for  non-farm business - others]]></labl>
        <catStat type="freq">
          472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[building used for  non-farm business - other constructions not covered in items 1 to 8]]></labl>
        <catStat type="freq">
          2027
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[building used for  non-farm business - incomplete structures (work-in-progress)]]></labl>
        <catStat type="freq">
          433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          total (items 1 to 10)
        </labl>
        <catStat type="freq">
          120685
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V155" name="B6_q3" files="F5" dcml="2" intrvl="contin">
      <location StartPos="50" EndPos="56" width="7" RecSegNo="1"/>
      <labl><![CDATA[Owned-Floor area (sq.  mtrs 0.00)]]></labl>
      <qstn>
        <qstnLit>
          How much is the owned floor area?
        </qstnLit>
        <ivuInstr>
          Floor area and value of the building and other constructions as listed in col. 2 owned by the sample household on the date of survey will be recorded under cols.(3) and (4) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8850"/>
      </valrng>
      <sumStat type="vald">
        163566
      </sumStat>
      <sumStat type="invd">
        123281
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8850
      </sumStat>
      <sumStat type="mean">
        42.789
      </sumStat>
      <sumStat type="stdev">
        84.215
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V156" name="B6_q4" files="F5" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="64" width="8" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of the floor area owned by the household?
        </qstnLit>
        <ivuInstr>
          Floor area and value of the building and other constructions as listed in col. 2 owned by the sample household on the date of survey will be recorded under cols.(3) and (4) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="33000000"/>
      </valrng>
      <sumStat type="vald">
        286820
      </sumStat>
      <sumStat type="invd">
        27
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        33000000
      </sumStat>
      <sumStat type="mean">
        101541.676
      </sumStat>
      <sumStat type="stdev">
        285003.805
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V157" name="B6_q5" files="F5" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="71" width="7" RecSegNo="1"/>
      <labl>
        Value -acquisition-Purchased (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of the building acquired / purchased by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Information on transactions of buildings and other constructions owned by the household during 1.7.02 to the date of survey is recorded in cols 5 to 12. Information on acquisition particulars will be recorded in cols 5 to 8. If the household has purchased (first hand or second hand) any building or structure  listed n col. 2 during the reference period, the purchase price (whether fully paid or not) of the said structure will be recorded in cols.(5).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3000000"/>
      </valrng>
      <sumStat type="vald">
        735
      </sumStat>
      <sumStat type="invd">
        286112
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000000
      </sumStat>
      <sumStat type="mean">
        227501.758
      </sumStat>
      <sumStat type="stdev">
        384372.756
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V158" name="B6_q6" files="F5" dcml="0" intrvl="contin">
      <location StartPos="72" EndPos="78" width="7" RecSegNo="1"/>
      <labl>
        Value-acquisition-Const.&amp; impv. (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of acquisition / construction &amp; improvement of the building?
        </qstnLit>
        <ivuInstr><![CDATA[In case any building or other construction is newly built or the floor area of the existing structure is extended during the reference period, the value of the constructed building/other construction or the extended portion of the building/other construction will be recorded in cols.(6). Sometimes for improving the condition of the structure, major repairs and alterations (refer to chapter 1), are made to the existing structure/construction.  In such cases, although there is no increase in the floor area, the value of such major repairs and alteration has to be recorded in col. (6).  It need be emphasized here that normal repairs and maintenance of buildings undertaken by the household will not be considered for making entry in this block.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1500000"/>
      </valrng>
      <sumStat type="vald">
        7850
      </sumStat>
      <sumStat type="invd">
        278997
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1500000
      </sumStat>
      <sumStat type="mean">
        52231.258
      </sumStat>
      <sumStat type="stdev">
        106960.292
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V159" name="B6_q7" files="F5" dcml="0" intrvl="contin">
      <location StartPos="79" EndPos="84" width="6" RecSegNo="1"/>
      <labl>
        Value-acquisition-Otherwise acq. (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of acquired / otherwise acquired building?
        </qstnLit>
        <ivuInstr><![CDATA[The required information of buildings or structures/constructions acquired by the household during the reference period by any other way than mentioned above, such as gift etc., will be recorded here.  Value will be equal to the amount it will fetch if sold in the market in the existing condition.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="450000"/>
      </valrng>
      <sumStat type="vald">
        312
      </sumStat>
      <sumStat type="invd">
        286535
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        450000
      </sumStat>
      <sumStat type="mean">
        16774.731
      </sumStat>
      <sumStat type="stdev">
        57108.732
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V160" name="B6_q8" files="F5" dcml="0" intrvl="contin">
      <location StartPos="85" EndPos="91" width="7" RecSegNo="1"/>
      <labl>
        Value-acquisition-Total (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the total value of the acquired building?
        </qstnLit>
        <ivuInstr><![CDATA[The value of the total acquisition of buildings and other constructions is to be recorded in cols. (8) by using the following algebraic   relations:
col. (8) = col. (5) + col. (6) + col. (7)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3000000"/>
      </valrng>
      <sumStat type="vald">
        8731
      </sumStat>
      <sumStat type="invd">
        278116
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000000
      </sumStat>
      <sumStat type="mean">
        66712.047
      </sumStat>
      <sumStat type="stdev">
        159472.331
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V161" name="NSS" files="F5" intrvl="discrete">
      <location StartPos="92" EndPos="93" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V162" name="NSC" files="F5" intrvl="discrete">
      <location StartPos="94" EndPos="96" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V163" name="MLT" files="F5" dcml="2" intrvl="contin">
      <location StartPos="97" EndPos="105" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="421093.16"/>
      </valrng>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        421093.16
      </sumStat>
      <sumStat type="mean">
        2868.276
      </sumStat>
      <sumStat type="stdev">
        4516
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V166" name="Weight" wgt="wgt" files="F5" dcml="2" intrvl="contin">
      <location StartPos="106" EndPos="112" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="2105.4658"/>
      </valrng>
      <sumStat type="vald">
        286847
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        2105.466
      </sumStat>
      <sumStat type="mean">
        14.424
      </sumStat>
      <sumStat type="stdev">
        23.215
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V194" name="HHID" files="F6" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V167" name="CentreCodeRndShift" files="F6" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V168" name="Vill_Blk_Slno" files="F6" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V169" name="Round" files="F6" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          285146
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V170" name="Schedule" files="F6" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          285146
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V171" name="Sample" files="F6" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          285146
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V172" name="Sector" files="F6" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          207963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          77183
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V173" name="State_Region" files="F6" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V195" name="State" files="F6" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          6050
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          5523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          8383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2460
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          6209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2902
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          14967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          37649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          18296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          2387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1657
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          2184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          5414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          3659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          5042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          3332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          11720
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          22881
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          6978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          9046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          5286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          13925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          8780
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          20323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          15417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          10851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          12513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          17012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          576
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V174" name="District" files="F6" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V175" name="Stratum" files="F6" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V176" name="SubRound" files="F6" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          143228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          141918
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V177" name="SubSample" files="F6" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          142885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          142261
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V178" name="FOD_SubRegion" files="F6" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V179" name="HG_SubBlkNo" files="F6" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V180" name="Second_Stratum" files="F6" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V181" name="Visit_no" files="F6" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          285146
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V182" name="Hhold_no" files="F6" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V183" name="Level" files="F6" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          06
        </catValu>
        <catStat type="freq">
          285146
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V184" name="B6_q1" files="F6" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          residential building
        </labl>
        <catStat type="freq">
          119682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[building  used for  farm business - barn (gola)]]></labl>
        <catStat type="freq">
          2212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[building  used for  farm business -animal shed]]></labl>
        <catStat type="freq">
          29551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[building  used for  farm business - farm house]]></labl>
        <catStat type="freq">
          1173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[building  used for  farm business - others]]></labl>
        <catStat type="freq">
          1713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[building used for  non-farm business - workplace/workshop]]></labl>
        <catStat type="freq">
          2482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[building used for  non-farm business - shop]]></labl>
        <catStat type="freq">
          5594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[building used for  non-farm business - others]]></labl>
        <catStat type="freq">
          470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[building used for  non-farm business - other constructions not covered in items 1 to 8]]></labl>
        <catStat type="freq">
          1959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[building used for  non-farm business - incomplete structures (work-in-progress)]]></labl>
        <catStat type="freq">
          274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          total (items 1 to 10)
        </labl>
        <catStat type="freq">
          120036
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V185" name="B6_q9" files="F6" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="56" width="7" RecSegNo="1"/>
      <labl>
        Value-disposal-Sold (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of sale/disposal of the building?
        </qstnLit>
        <ivuInstr><![CDATA[The value of disposal of buildings and other constructions during 1.7.02 to date of survey will be recorded in cols 9 to 12. If the household has sold an owned building or structure/construction or part  thereof during the reference period, the value of sale  of the said building or the part of the building will be recorded in col.(9).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1700000"/>
      </valrng>
      <sumStat type="vald">
        158
      </sumStat>
      <sumStat type="invd">
        284988
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1700000
      </sumStat>
      <sumStat type="mean">
        129662.734
      </sumStat>
      <sumStat type="stdev">
        247229.81
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V186" name="B6_q10" files="F6" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="62" width="6" RecSegNo="1"/>
      <labl>
        Value-disposal-Otherwise disp. off (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Whether the household has disposed of a building or part thereof by way of gift etc. (and not discarded or disposed of by way of sale) during reference period, what is the value of such disposal of the building?
        </qstnLit>
        <ivuInstr>
          If the household has disposed of a building or part thereof by way of gift etc. (and not discarded or disposed of by way of sale) during reference period, the value of the structure or part of the structure disposed of will be noted in cols. (10) in whole no. of rupees.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="300000"/>
      </valrng>
      <sumStat type="vald">
        177
      </sumStat>
      <sumStat type="invd">
        284969
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        300000
      </sumStat>
      <sumStat type="mean">
        25675.028
      </sumStat>
      <sumStat type="stdev">
        57925.512
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V187" name="B6_q11" files="F6" dcml="0" intrvl="contin">
      <location StartPos="63" EndPos="69" width="7" RecSegNo="1"/>
      <labl>
        Value-disposal-Discarded (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Whether there is a building or a part of a building that is completely discarded as being of no use to the owner. What is the value of such discarded building?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes a building or apart of a building is completely discarded being of no use to the owner.  Usually such assets are in very poor conditions.  These assets do not fetch much value and generally they are considered as scraps.  The value of the said assets, discarded during the reference period, will be evaluated at current marketing price prevailing in the locality, considering the condition of the asset when it was in use prior to being discarded. The value of the discarded building will be recorded in cols. (11).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1300000"/>
      </valrng>
      <sumStat type="vald">
        497
      </sumStat>
      <sumStat type="invd">
        284649
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1300000
      </sumStat>
      <sumStat type="mean">
        15351.573
      </sumStat>
      <sumStat type="stdev">
        85803.785
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V188" name="B6_q12" files="F6" dcml="0" intrvl="contin">
      <location StartPos="70" EndPos="76" width="7" RecSegNo="1"/>
      <labl>
        Value-disposal-Total (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the total value of sale/disposal of the building?
        </qstnLit>
        <ivuInstr><![CDATA[The value of the total disposal is to be recorded in cols. (12) by using the following algebraic relations:  

col. (12) = col. (9) + col. (10) + col. (11)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1700000"/>
      </valrng>
      <sumStat type="vald">
        882
      </sumStat>
      <sumStat type="invd">
        284264
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1700000
      </sumStat>
      <sumStat type="mean">
        41651.973
      </sumStat>
      <sumStat type="stdev">
        133863.372
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V189" name="B6_q13" files="F6" dcml="2" intrvl="contin">
      <location StartPos="77" EndPos="83" width="7" RecSegNo="1"/>
      <labl><![CDATA[Owned-Floor area (sq.  mtrs 0.00)]]></labl>
      <qstn>
        <qstnLit>
          How much floor area is owned by the household?
        </qstnLit>
        <ivuInstr>
          The floor area of the building/structure as on 30.6.02 will be recorded in col. (13) after an enquiry to the informant.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8850"/>
      </valrng>
      <sumStat type="vald">
        162680
      </sumStat>
      <sumStat type="invd">
        122466
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8850
      </sumStat>
      <sumStat type="mean">
        42.876
      </sumStat>
      <sumStat type="stdev">
        84.544
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V190" name="B6_q14" files="F6" dcml="0" intrvl="contin">
      <location StartPos="84" EndPos="91" width="8" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of asset owned by the household?
        </qstnLit>
        <ivuInstr>
          The value of assets as on 30.6.02 will be derived in col. (14) as (col. (4) + col. (12) - col. (8) ).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="33000000"/>
      </valrng>
      <sumStat type="vald">
        285118
      </sumStat>
      <sumStat type="invd">
        28
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        33000000
      </sumStat>
      <sumStat type="mean">
        100138.105
      </sumStat>
      <sumStat type="stdev">
        283890.9
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V191" name="NSS" files="F6" intrvl="discrete">
      <location StartPos="92" EndPos="93" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V192" name="NSC" files="F6" intrvl="discrete">
      <location StartPos="94" EndPos="96" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V193" name="MLT" files="F6" dcml="2" intrvl="contin">
      <location StartPos="97" EndPos="105" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="421093.16"/>
      </valrng>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        421093.16
      </sumStat>
      <sumStat type="mean">
        2869.184
      </sumStat>
      <sumStat type="stdev">
        4518.888
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V196" name="Weight" wgt="wgt" files="F6" dcml="2" intrvl="contin">
      <location StartPos="106" EndPos="112" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="2105.4658"/>
      </valrng>
      <sumStat type="vald">
        285146
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        2105.466
      </sumStat>
      <sumStat type="mean">
        14.429
      </sumStat>
      <sumStat type="stdev">
        23.232
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V226" name="HHID" files="F7" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V197" name="CentreCodeRndShift" files="F7" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V198" name="Vill_Blk_Slno" files="F7" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V199" name="Round" files="F7" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          296885
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V200" name="Schedule" files="F7" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          296885
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V201" name="Sample" files="F7" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          296885
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V202" name="Sector" files="F7" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          271574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          25311
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V203" name="State_Region" files="F7" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V227" name="State" files="F7" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          9117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          7814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          7474
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2918
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          6397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          19819
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          39773
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          15762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          4806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          6332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          3486
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          7476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          4509
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          6271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          5621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          20411
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          22594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          8722
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          9919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          6784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          16909
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          7291
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          15626
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          11390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          9319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          7549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          9793
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          755
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V204" name="District" files="F7" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V205" name="Stratum" files="F7" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V206" name="SubRound" files="F7" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          149403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          147482
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V207" name="SubSample" files="F7" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          149453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          147432
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V208" name="FOD_SubRegion" files="F7" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V209" name="HG_SubBlkNo" files="F7" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V210" name="Second_Stratum" files="F7" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V211" name="Visit_no" files="F7" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          296885
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V212" name="Hhold_no" files="F7" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V213" name="Level" files="F7" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          07
        </catValu>
        <catStat type="freq">
          296885
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V214" name="B7_q1" files="F7" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl><![CDATA[ young  stock  (male)]]></labl>
        <catStat type="freq">
          1438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          young stock (female)
        </labl>
        <catStat type="freq">
          2228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[breeding cow: in milk    ]]></labl>
        <catStat type="freq">
          3220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[breeding cow: dry   ]]></labl>
        <catStat type="freq">
          1339
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          cow not calved even once
        </labl>
        <catStat type="freq">
          372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[ for work/ breeding    ]]></labl>
        <catStat type="freq">
          1464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[others   ]]></labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[young  stock  (male)]]></labl>
        <catStat type="freq">
          8845
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          young stock (female)
        </labl>
        <catStat type="freq">
          9826
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[ breeding cow: in milk    ]]></labl>
        <catStat type="freq">
          12248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[breeding cow: dry   ]]></labl>
        <catStat type="freq">
          8383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          cow not calved even once
        </labl>
        <catStat type="freq">
          1518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[male cattle over 3 years for work/ breeding    ]]></labl>
        <catStat type="freq">
          13445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[male cattle over 3 years others   ]]></labl>
        <catStat type="freq">
          633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[buffalo: young  stock  (male)]]></labl>
        <catStat type="freq">
          4516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          buffalo: young stock (female)
        </labl>
        <catStat type="freq">
          8754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[breeding buffalo: in milk    ]]></labl>
        <catStat type="freq">
          11686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[breeding buffalo: dry   ]]></labl>
        <catStat type="freq">
          6890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[buffalo(female) not calved even once   ]]></labl>
        <catStat type="freq">
          1221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[buffalo  others]]></labl>
        <catStat type="freq">
          166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          male buffalo for work/breeding
        </labl>
        <catStat type="freq">
          1459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[male buffalo others   ]]></labl>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Sub total (items 1 to 24)
        </labl>
        <catStat type="freq">
          44834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Elephant
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Horse, mule &amp; pony
        </labl>
        <catStat type="freq">
          350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Donkey
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Camel
        </labl>
        <catStat type="freq">
          225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Yak &amp; mithun
        </labl>
        <catStat type="freq">
          249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Sub total ( items 26 to 30)
        </labl>
        <catStat type="freq">
          973
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Sheep
        </labl>
        <catStat type="freq">
          1890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Goat  ]]></labl>
        <catStat type="freq">
          13607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl><![CDATA[Pig  ]]></labl>
        <catStat type="freq">
          3528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Rabbit
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Sub total ( items 32 to 35)
        </labl>
        <catStat type="freq">
          17666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl><![CDATA[Cock  ]]></labl>
        <catStat type="freq">
          8708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Hen
        </labl>
        <catStat type="freq">
          15189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Chicken
        </labl>
        <catStat type="freq">
          8732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl><![CDATA[Duck & duckling   ]]></labl>
        <catStat type="freq">
          2590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Other poultry birds*
        </labl>
        <catStat type="freq">
          362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Sub total (items 37 to 41)
        </labl>
        <catStat type="freq">
          17734
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl><![CDATA[total (items  25+31+36 + 42+ 43)]]></labl>
        <catStat type="freq">
          59286
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V215" name="B7_q3" files="F7" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="54" width="5" RecSegNo="1"/>
      <labl>
        Owned-No.
      </labl>
      <qstn>
        <qstnLit>
          How many animals are owned by the household?
        </qstnLit>
        <ivuInstr>
          For each of the items listed in col.(2), the number of animals owned on the date of survey will be ascertained and recorded in col.(3).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15012"/>
      </valrng>
      <sumStat type="vald">
        291893
      </sumStat>
      <sumStat type="invd">
        4992
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15012
      </sumStat>
      <sumStat type="mean">
        4.48
      </sumStat>
      <sumStat type="stdev">
        67.119
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V216" name="B7_q4" files="F7" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="61" width="7" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of the animals owned by the household?
        </qstnLit>
        <ivuInstr>
          The value of each of livestock recorded in col. (3) against an item will be entered in col. (4) against the same item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="4260000"/>
      </valrng>
      <sumStat type="vald">
        292011
      </sumStat>
      <sumStat type="invd">
        4874
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4260000
      </sumStat>
      <sumStat type="mean">
        6121.646
      </sumStat>
      <sumStat type="stdev">
        19676.543
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V217" name="B7_q5" files="F7" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="66" width="5" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-No.
      </labl>
      <qstn>
        <qstnLit>
          How many animals were transacted / acquired by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The transactions during 1.7.02 to the date of survey will be recorded in cols. (5) to (8).  The information on acquisition will be recorded in cols. (5) and (6), while that of disposal in cols. (7) and (8).  The acquisition will mean addition to stock by way of purchase, birth, gift, otherwise acquired etc. and disposal will mean depletion of stock and will include sale, deaths, loss, gift, etc.  The information in respect of number will be recorded in cols. (5) and (7) for acquisition and disposal respectively and that of value will be entered in cols 6 and 8 for acquisition and disposal respectively.  It may be mentioned that in the case of death of a livestock acquired prior to the reference period, i.e. before to 1.7.02, the value of the livestock to be recorded in col.(8) will be the price that the livestock would have fetched had it been sold prior to its death.  The entries in cols. (9) and (10) will be obtained by derivation of figure in cols. (3) to (8) in the following way.

(i)    col. (9)   = col. (3) + col. (7) - col. (5)
(ii)   col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15080"/>
      </valrng>
      <sumStat type="vald">
        46386
      </sumStat>
      <sumStat type="invd">
        250499
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15080
      </sumStat>
      <sumStat type="mean">
        10.373
      </sumStat>
      <sumStat type="stdev">
        223.734
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V218" name="B7_q6" files="F7" dcml="0" intrvl="contin">
      <location StartPos="67" EndPos="73" width="7" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          For how much animals were transacted / acquired by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The transactions during 1.7.02 to the date of survey will be recorded in cols. (5) to (8).  The information on acquisition will be recorded in cols. (5) and (6), while that of disposal in cols. (7) and (8).  The acquisition will mean addition to stock by way of purchase, birth, gift, otherwise acquired etc. and disposal will mean depletion of stock and will include sale, deaths, loss, gift, etc.  The information in respect of number will be recorded in cols. (5) and (7) for acquisition and disposal respectively and that of value will be entered in cols 6 and 8 for acquisition and disposal respectively.  It may be mentioned that in the case of death of a livestock acquired prior to the reference period, i.e. before to 1.7.02, the value of the livestock to be recorded in col.(8) will be the price that the livestock would have fetched had it been sold prior to its death.  The entries in cols. (9) and (10) will be obtained by derivation of figure in cols. (3) to (8) in the following way.

(i)    col. (9)   = col. (3) + col. (7) - col. (5)
(ii)   col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="5060000"/>
      </valrng>
      <sumStat type="vald">
        46733
      </sumStat>
      <sumStat type="invd">
        250152
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5060000
      </sumStat>
      <sumStat type="mean">
        2664.736
      </sumStat>
      <sumStat type="stdev">
        41531.661
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V219" name="B7_q7" files="F7" dcml="0" intrvl="contin">
      <location StartPos="74" EndPos="78" width="5" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-No.
      </labl>
      <qstn>
        <qstnLit>
          How many animals were transacted / disposed by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The transactions during 1.7.02 to the date of survey will be recorded in cols. (5) to (8).  The information on acquisition will be recorded in cols. (5) and (6), while that of disposal in cols. (7) and (8).  The acquisition will mean addition to stock by way of purchase, birth, gift, otherwise acquired etc. and disposal will mean depletion of stock and will include sale, deaths, loss, gift, etc.  The information in respect of number will be recorded in cols. (5) and (7) for acquisition and disposal respectively and that of value will be entered in cols 6 and 8 for acquisition and disposal respectively.  It may be mentioned that in the case of death of a livestock acquired prior to the reference period, i.e. before to 1.7.02, the value of the livestock to be recorded in col.(8) will be the price that the livestock would have fetched had it been sold prior to its death.  The entries in cols. (9) and (10) will be obtained by derivation of figure in cols. (3) to (8) in the following way.

(i)    col. (9)   = col. (3) + col. (7) - col. (5)
(ii)   col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15010"/>
      </valrng>
      <sumStat type="vald">
        32010
      </sumStat>
      <sumStat type="invd">
        264875
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15010
      </sumStat>
      <sumStat type="mean">
        13.385
      </sumStat>
      <sumStat type="stdev">
        267.914
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V220" name="B7_q8" files="F7" dcml="0" intrvl="contin">
      <location StartPos="79" EndPos="85" width="7" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          For how much animals were transacted / disposed of by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The transactions during 1.7.02 to the date of survey will be recorded in cols. (5) to (8).  The information on acquisition will be recorded in cols. (5) and (6), while that of disposal in cols. (7) and (8).  The acquisition will mean addition to stock by way of purchase, birth, gift, otherwise acquired etc. and disposal will mean depletion of stock and will include sale, deaths, loss, gift, etc.  The information in respect of number will be recorded in cols. (5) and (7) for acquisition and disposal respectively and that of value will be entered in cols 6 and 8 for acquisition and disposal respectively.  It may be mentioned that in the case of death of a livestock acquired prior to the reference period, i.e. before to 1.7.02, the value of the livestock to be recorded in col.(8) will be the price that the livestock would have fetched had it been sold prior to its death.  The entries in cols. (9) and (10) will be obtained by derivation of figure in cols. (3) to (8) in the following way.

(i)    col. (9)   = col. (3) + col. (7) - col. (5)
(ii)   col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="4570000"/>
      </valrng>
      <sumStat type="vald">
        32056
      </sumStat>
      <sumStat type="invd">
        264829
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4570000
      </sumStat>
      <sumStat type="mean">
        3740.983
      </sumStat>
      <sumStat type="stdev">
        47428.21
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V221" name="B7_q9" files="F7" dcml="0" intrvl="contin">
      <location StartPos="86" EndPos="90" width="5" RecSegNo="1"/>
      <labl>
        Assets-No.
      </labl>
      <qstn>
        <qstnLit>
          How many assets are held by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The transactions during 1.7.02 to the date of survey will be recorded in cols. (5) to (8).  The information on acquisition will be recorded in cols. (5) and (6), while that of disposal in cols. (7) and (8).  The acquisition will mean addition to stock by way of purchase, birth, gift, otherwise acquired etc. and disposal will mean depletion of stock and will include sale, deaths, loss, gift, etc.  The information in respect of number will be recorded in cols. (5) and (7) for acquisition and disposal respectively and that of value will be entered in cols 6 and 8 for acquisition and disposal respectively.  It may be mentioned that in the case of death of a livestock acquired prior to the reference period, i.e. before to 1.7.02, the value of the livestock to be recorded in col.(8) will be the price that the livestock would have fetched had it been sold prior to its death.  The entries in cols. (9) and (10) will be obtained by derivation of figure in cols. (3) to (8) in the following way.

(i)    col. (9)   = col. (3) + col. (7) - col. (5)
(ii)   col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15003"/>
      </valrng>
      <sumStat type="vald">
        282265
      </sumStat>
      <sumStat type="invd">
        14620
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15003
      </sumStat>
      <sumStat type="mean">
        4.403
      </sumStat>
      <sumStat type="stdev">
        61.439
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V222" name="B7_q10" files="F7" dcml="0" intrvl="contin">
      <location StartPos="91" EndPos="97" width="7" RecSegNo="1"/>
      <labl>
        Assets-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of the assets held by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The transactions during 1.7.02 to the date of survey will be recorded in cols. (5) to (8).  The information on acquisition will be recorded in cols. (5) and (6), while that of disposal in cols. (7) and (8).  The acquisition will mean addition to stock by way of purchase, birth, gift, otherwise acquired etc. and disposal will mean depletion of stock and will include sale, deaths, loss, gift, etc.  The information in respect of number will be recorded in cols. (5) and (7) for acquisition and disposal respectively and that of value will be entered in cols 6 and 8 for acquisition and disposal respectively.  It may be mentioned that in the case of death of a livestock acquired prior to the reference period, i.e. before to 1.7.02, the value of the livestock to be recorded in col.(8) will be the price that the livestock would have fetched had it been sold prior to its death.  The entries in cols. (9) and (10) will be obtained by derivation of figure in cols. (3) to (8) in the following way.

(i)    col. (9)   = col. (3) + col. (7) - col. (5)
(ii)   col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="4260000"/>
      </valrng>
      <sumStat type="vald">
        282798
      </sumStat>
      <sumStat type="invd">
        14087
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4260000
      </sumStat>
      <sumStat type="mean">
        6302.582
      </sumStat>
      <sumStat type="stdev">
        19961.942
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V223" name="NSS" files="F7" intrvl="discrete">
      <location StartPos="98" EndPos="99" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V224" name="NSC" files="F7" intrvl="discrete">
      <location StartPos="100" EndPos="102" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V225" name="MLT" files="F7" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="111" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="217338.4"/>
      </valrng>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        217338.4
      </sumStat>
      <sumStat type="mean">
        2921.054
      </sumStat>
      <sumStat type="stdev">
        3962.147
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V228" name="Weight" wgt="wgt" files="F7" dcml="2" intrvl="contin">
      <location StartPos="112" EndPos="118" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="1086.692"/>
      </valrng>
      <sumStat type="vald">
        296885
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        1086.692
      </sumStat>
      <sumStat type="mean">
        14.682
      </sumStat>
      <sumStat type="stdev">
        20.259
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V258" name="HHID" files="F8" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V229" name="CentreCodeRndShift" files="F8" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V230" name="Vill_Blk_Slno" files="F8" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V231" name="Round" files="F8" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          248368
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V232" name="Schedule" files="F8" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          248368
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V233" name="Sample" files="F8" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          248368
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V234" name="Sector" files="F8" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          225485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          22883
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V235" name="State_Region" files="F8" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V259" name="State" files="F8" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          7333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          5951
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          6362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          4690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          13331
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          34401
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          19175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          2042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          2267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1859
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          6777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          3445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          3983
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          4339
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          12730
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          16151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          6851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          8929
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          5195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          14479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          6621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          598
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          16080
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          12228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          10550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          245
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          7183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          10945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          173
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V236" name="District" files="F8" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V237" name="Stratum" files="F8" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V238" name="SubRound" files="F8" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          123597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          124771
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V239" name="SubSample" files="F8" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          124933
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          123435
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V240" name="FOD_SubRegion" files="F8" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V241" name="HG_SubBlkNo" files="F8" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V242" name="Second_Stratum" files="F8" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V243" name="Visit_no" files="F8" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          248368
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V244" name="Hhold_no" files="F8" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V245" name="Level" files="F8" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          08
        </catValu>
        <catStat type="freq">
          248368
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V246" name="B8_q1" files="F8" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          sickle, axe, spade &amp; chopper
        </labl>
        <catStat type="freq">
          78505
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[plough (wooden /  iron)]]></labl>
        <catStat type="freq">
          24354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          harrow, seed-drill, sprayer &amp; duster, chaff-cutter
        </labl>
        <catStat type="freq">
          15501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          power tiller
        </labl>
        <catStat type="freq">
          562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          tractor (excluding trolly)
        </labl>
        <catStat type="freq">
          1984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          thresher
        </labl>
        <catStat type="freq">
          3614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          combined harvester
        </labl>
        <catStat type="freq">
          371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[canecrusher-  power operated ]]></labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          canecrusher- others
        </labl>
        <catStat type="freq">
          132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          oil crusher-power operated
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          oil crusher- others
        </labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          pump-electric
        </labl>
        <catStat type="freq">
          5916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          pump- others
        </labl>
        <catStat type="freq">
          5254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          other water lifting equipment (viz. persian wheel, dhenki, etc.)
        </labl>
        <catStat type="freq">
          2020
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          furniture and fixtures
        </labl>
        <catStat type="freq">
          7551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          22562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          total (items 1 to 16)
        </labl>
        <catStat type="freq">
          79929
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V247" name="B8_q3" files="F8" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="53" width="4" RecSegNo="1"/>
      <labl>
        Owned-Number
      </labl>
      <qstn>
        <qstnLit>
          How many agricultural machinery / equipments are owned by the household?
        </qstnLit>
        <ivuInstr>
          For each item specified in col. (2), number of implements owned on the date of survey will be recorded in col. (3).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1200"/>
      </valrng>
      <sumStat type="vald">
        135987
      </sumStat>
      <sumStat type="invd">
        112381
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1200
      </sumStat>
      <sumStat type="mean">
        4.169
      </sumStat>
      <sumStat type="stdev">
        6.224
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V248" name="B8_q4" files="F8" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="60" width="7" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of agricultural machinery / equipments that are owned by the household?
        </qstnLit>
        <ivuInstr>
          Value of each of the implements owned has to be ascertained separately as per the procedure laid down in paras 4 0.7 and 4.0.8 and the total value of all the assets reported in col. (3) against an item will be recorded in col. (4).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1716660"/>
      </valrng>
      <sumStat type="vald">
        248273
      </sumStat>
      <sumStat type="invd">
        95
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1716660
      </sumStat>
      <sumStat type="mean">
        4494.416
      </sumStat>
      <sumStat type="stdev">
        26894.513
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V249" name="B8_q5" files="F8" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="63" width="3" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-Number
      </labl>
      <qstn>
        <qstnLit>
          How many agricultural machinery / equipments are acquired by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The particulars of transaction of an item specified in col.(2) will be recorded in cols.(5) and (6), if it is acquired during 1.7.02 to date of survey and in cols.(7) and (8), if any disposal takes places during the said reference period.  An asset may be acquired by way of purchase, construction, and gift or otherwise.  An asset may be disposed of by way of sale, loss, gift, discarding or otherwise.  In case, an asset is acquired and disposed of during the reference period, the same entries are to be made both under acquisition and disposal.  The number of an item of asset acquired will be entered in col. (5) and that disposed of in col. (7).  The values of the respective assets as ascertained in accordance to paras 4.0.7 and 4.0.8 will be recorded in cols. (6) and (8) for acquisition and disposal respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="100"/>
      </valrng>
      <sumStat type="vald">
        7821
      </sumStat>
      <sumStat type="invd">
        240547
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          2439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          803
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          240547
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V250" name="B8_q6" files="F8" dcml="0" intrvl="contin">
      <location StartPos="64" EndPos="69" width="6" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of agricultural machinery / equipments that are acquired by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The particulars of transaction of an item specified in col.(2) will be recorded in cols.(5) and (6), if it is acquired during 1.7.02 to date of survey and in cols.(7) and (8), if any disposal takes places during the said reference period.  An asset may be acquired by way of purchase, construction, and gift or otherwise.  An asset may be disposed of by way of sale, loss, gift, discarding or otherwise.  In case, an asset is acquired and disposed of during the reference period, the same entries are to be made both under acquisition and disposal.  The number of an item of asset acquired will be entered in col. (5) and that disposed of in col. (7).  The values of the respective assets as ascertained in accordance to paras 4.0.7 and 4.0.8 will be recorded in cols. (6) and (8) for acquisition and disposal respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="650050"/>
      </valrng>
      <sumStat type="vald">
        16531
      </sumStat>
      <sumStat type="invd">
        231837
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        650050
      </sumStat>
      <sumStat type="mean">
        3947.415
      </sumStat>
      <sumStat type="stdev">
        29392.684
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V251" name="B8_q7" files="F8" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="71" width="2" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-Number
      </labl>
      <qstn>
        <qstnLit>
          How many agricultural machinery / equipments are disposed of by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The particulars of transaction of an item specified in col.(2) will be recorded in cols.(5) and (6), if it is acquired during 1.7.02 to date of survey and in cols.(7) and (8), if any disposal takes places during the said reference period.  An asset may be acquired by way of purchase, construction, and gift or otherwise.  An asset may be disposed of by way of sale, loss, gift, discarding or otherwise.  In case, an asset is acquired and disposed of during the reference period, the same entries are to be made both under acquisition and disposal.  The number of an item of asset acquired will be entered in col. (5) and that disposed of in col. (7).  The values of the respective assets as ascertained in accordance to paras 4.0.7 and 4.0.8 will be recorded in cols. (6) and (8) for acquisition and disposal respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="80"/>
      </valrng>
      <sumStat type="vald">
        2138
      </sumStat>
      <sumStat type="invd">
        246230
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          598
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          245
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          246230
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V252" name="B8_q8" files="F8" dcml="0" intrvl="contin">
      <location StartPos="72" EndPos="77" width="6" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of agricultural machinery / equipments that are disposed of by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The particulars of transaction of an item specified in col.(2) will be recorded in cols.(5) and (6), if it is acquired during 1.7.02 to date of survey and in cols.(7) and (8), if any disposal takes places during the said reference period.  An asset may be acquired by way of purchase, construction, and gift or otherwise.  An asset may be disposed of by way of sale, loss, gift, discarding or otherwise.  In case, an asset is acquired and disposed of during the reference period, the same entries are to be made both under acquisition and disposal.  The number of an item of asset acquired will be entered in col. (5) and that disposed of in col. (7).  The values of the respective assets as ascertained in accordance to paras 4.0.7 and 4.0.8 will be recorded in cols. (6) and (8) for acquisition and disposal respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="200000"/>
      </valrng>
      <sumStat type="vald">
        4801
      </sumStat>
      <sumStat type="invd">
        243567
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        200000
      </sumStat>
      <sumStat type="mean">
        1363.815
      </sumStat>
      <sumStat type="stdev">
        10604.399
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V253" name="B8_q9" files="F8" dcml="0" intrvl="contin">
      <location StartPos="78" EndPos="81" width="4" RecSegNo="1"/>
      <labl>
        Assets owned-Number
      </labl>
      <qstn>
        <qstnLit>
          How many total assets are owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Agricultutal machinery and implements owned by the household as on 30.6.02 will be obtained from the entries made in cols. (3) to (8). The entries for cols (9) and col. (10) are derived from col. (3) to col. (8) as given below:

(i)    col. (9)   = col. (3) - col. (5) + col. (7)
(ii)   col. (10) = col. (4) - col. (6) + col. (8)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1200"/>
      </valrng>
      <sumStat type="vald">
        135404
      </sumStat>
      <sumStat type="invd">
        112964
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1200
      </sumStat>
      <sumStat type="mean">
        4.1
      </sumStat>
      <sumStat type="stdev">
        6.122
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V254" name="B8_q10" files="F8" dcml="0" intrvl="contin">
      <location StartPos="82" EndPos="88" width="7" RecSegNo="1"/>
      <labl>
        Assets owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of total assets are owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Agricultutal machinery and implements owned by the household as on 30.6.02 will be obtained from the entries made in cols. (3) to (8). The entries for cols (9) and col. (10) are derived from col. (3) to col. (8) as given below:

(i)    col. (9)   = col. (3) - col. (5) + col. (7)
(ii)   col. (10) = col. (4) - col. (6) + col. (8)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1716660"/>
      </valrng>
      <sumStat type="vald">
        247475
      </sumStat>
      <sumStat type="invd">
        893
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1716660
      </sumStat>
      <sumStat type="mean">
        4271.685
      </sumStat>
      <sumStat type="stdev">
        25705.562
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V255" name="NSS" files="F8" intrvl="discrete">
      <location StartPos="89" EndPos="90" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V256" name="NSC" files="F8" intrvl="discrete">
      <location StartPos="91" EndPos="93" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V257" name="MLT" files="F8" dcml="2" intrvl="contin">
      <location StartPos="94" EndPos="102" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="421093.16"/>
      </valrng>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        421093.16
      </sumStat>
      <sumStat type="mean">
        3055.37
      </sumStat>
      <sumStat type="stdev">
        4501.307
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V260" name="Weight" wgt="wgt" files="F8" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="109" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="2105.4658"/>
      </valrng>
      <sumStat type="vald">
        248368
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        2105.466
      </sumStat>
      <sumStat type="mean">
        15.354
      </sumStat>
      <sumStat type="stdev">
        22.93
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V410" name="HHID" files="F13" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V381" name="CentreCodeRndShift" files="F13" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V382" name="Vill_Blk_Slno" files="F13" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V383" name="Round" files="F13" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          94603
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V384" name="Schedule" files="F13" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          94603
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V385" name="Sample" files="F13" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          94603
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V386" name="Sector" files="F13" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          44850
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          49753
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V387" name="State_Region" files="F13" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V411" name="State" files="F13" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          2103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          3697
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          4414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          12140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          4853
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          3350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          535
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          490
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          8552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          2236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1062
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          4190
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          3845
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          8293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          5658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          3746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          309
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          3273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          7317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          186
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V388" name="District" files="F13" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V389" name="Stratum" files="F13" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V390" name="SubRound" files="F13" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          47226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          47377
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V391" name="SubSample" files="F13" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          47580
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          47023
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V392" name="FOD_SubRegion" files="F13" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V393" name="HG_SubBlkNo" files="F13" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V394" name="Second_Stratum" files="F13" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V395" name="Visit_no" files="F13" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          94603
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V396" name="Hhold_no" files="F13" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V397" name="Level" files="F13" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          09
        </catValu>
        <catStat type="freq">
          94603
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V398" name="B9_q1" files="F13" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          handloom, semi-automatic and power looms
        </labl>
        <catStat type="freq">
          1137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          ginning, pressing and balling equipment
        </labl>
        <catStat type="freq">
          356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[reeds, bobins and other accessories used in spinning and weaving and tailoring equipments (viz.  sewing machine etc.)]]></labl>
        <catStat type="freq">
          2696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[mills (viz.  ghanies, oil-mills (power-driven), rice-milling and pounding equipment, flour-milling and grinding equipment)]]></labl>
        <catStat type="freq">
          603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          electric motors, oil engines, generators, pumpsets
        </labl>
        <catStat type="freq">
          728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[casting,  melting and welding equipments, furnace, bellows and other equipments used in smithy shop]]></labl>
        <catStat type="freq">
          557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          saws ( manually operated)
        </labl>
        <catStat type="freq">
          1027
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[saws (  power-driven)]]></labl>
        <catStat type="freq">
          163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          musical instruments
        </labl>
        <catStat type="freq">
          236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Kilns
        </labl>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          potter’s wheels, scales, weights and measures
        </labl>
        <catStat type="freq">
          3906
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          xerox machine, printing press, personal computer, duplicating machine, fax machine
        </labl>
        <catStat type="freq">
          346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          ISD/STD/PCO equipments
        </labl>
        <catStat type="freq">
          579
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          X- ray machine, other medical equipments
        </labl>
        <catStat type="freq">
          277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Ultrasound equipments
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          lathes, other machinery tools &amp; appliances
        </labl>
        <catStat type="freq">
          3021
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          intangible assets like software, artistic originals, manuscripts etc.
        </labl>
        <catStat type="freq">
          237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          total machinery tools &amp; appliances (items 1-17)
        </labl>
        <catStat type="freq">
          11754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          17049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          other non-farm business equipment
        </labl>
        <catStat type="freq">
          19958
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          total (items 18+19+20)
        </labl>
        <catStat type="freq">
          29780
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V399" name="B9_q3" files="F13" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="53" width="4" RecSegNo="1"/>
      <labl>
        Owned-No.
      </labl>
      <qstn>
        <qstnLit>
          How many non-farm business equipments are owned by the household?
        </qstnLit>
        <ivuInstr>
          The equipments described in col.(2) of the block and owned by the sample household will be recorded in this block, irrespective of its use i.e whether it is for use in the non-farm business of the household or for hiring out. The number and the value of the household's share of equipments used exclusively for non-farm business on the date of survey will be entered in whole number and in rupees respectively in cols.(3) and (4).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3000"/>
      </valrng>
      <sumStat type="vald">
        15428
      </sumStat>
      <sumStat type="invd">
        79175
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000
      </sumStat>
      <sumStat type="mean">
        6.256
      </sumStat>
      <sumStat type="stdev">
        34.46
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V400" name="B9_q4" files="F13" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="61" width="8" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of non-farm business equipments owned by the household?
        </qstnLit>
        <ivuInstr>
          The equipments described in col.(2) of the block and owned by the sample household will be recorded in this block, irrespective of its use i.e whether it is for use in the non-farm business of the household or for hiring out. The number and the value of the household's share of equipments used exclusively for non-farm business on the date of survey will be entered in whole number and in rupees respectively in cols.(3) and (4).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="21540000"/>
      </valrng>
      <sumStat type="vald">
        94284
      </sumStat>
      <sumStat type="invd">
        319
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        21540000
      </sumStat>
      <sumStat type="mean">
        12150.662
      </sumStat>
      <sumStat type="stdev">
        148644.885
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V401" name="B9_q5" files="F13" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="66" width="5" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-No.
      </labl>
      <qstn>
        <qstnLit>
          How many non-farm business equipments are acquired by the household?
        </qstnLit>
        <ivuInstr>
          The acquisition of assets listed in col. 2 during the reference period by way of purchase, construction and improvement or otherwise (by way of gifts etc.) will be entered in cols. (5) and (6) in terms of number and value respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15000"/>
      </valrng>
      <sumStat type="vald">
        834
      </sumStat>
      <sumStat type="invd">
        93769
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15000
      </sumStat>
      <sumStat type="mean">
        21.95
      </sumStat>
      <sumStat type="stdev">
        519.369
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V402" name="B9_q6" files="F13" dcml="0" intrvl="contin">
      <location StartPos="67" EndPos="72" width="6" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of non-farm business equipments acquired by the household?
        </qstnLit>
        <ivuInstr>
          The acquisition of assets listed in col. 2 during the reference period by way of purchase, construction and improvement or otherwise (by way of gifts etc.) will be entered in cols. (5) and (6) in terms of number and value respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="900000"/>
      </valrng>
      <sumStat type="vald">
        5617
      </sumStat>
      <sumStat type="invd">
        88986
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        900000
      </sumStat>
      <sumStat type="mean">
        7331.483
      </sumStat>
      <sumStat type="stdev">
        36698.585
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V403" name="B9_q7" files="F13" dcml="0" intrvl="contin">
      <location StartPos="73" EndPos="77" width="5" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-No.
      </labl>
      <qstn>
        <qstnLit>
          How many non-farm business equipments are disposed of by the household?
        </qstnLit>
        <ivuInstr>
          Similarly, the number and value of assets disposed of by way of sale, discarded or gift etc., will be recorded in cols.(7) and (8) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15000"/>
      </valrng>
      <sumStat type="vald">
        257
      </sumStat>
      <sumStat type="invd">
        94346
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15000
      </sumStat>
      <sumStat type="mean">
        63.323
      </sumStat>
      <sumStat type="stdev">
        935.497
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V404" name="B9_q8" files="F13" dcml="0" intrvl="contin">
      <location StartPos="78" EndPos="84" width="7" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of non-farm business equipments disposed of by the household?
        </qstnLit>
        <ivuInstr>
          Similarly, the number and value of assets disposed of by way of sale, discarded or gift etc., will be recorded in cols.(7) and (8) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1000000"/>
      </valrng>
      <sumStat type="vald">
        1777
      </sumStat>
      <sumStat type="invd">
        92826
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1000000
      </sumStat>
      <sumStat type="mean">
        7217.643
      </sumStat>
      <sumStat type="stdev">
        54561.268
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V405" name="B9_q9" files="F13" dcml="0" intrvl="contin">
      <location StartPos="85" EndPos="88" width="4" RecSegNo="1"/>
      <labl>
        Owned-No.
      </labl>
      <qstn>
        <qstnLit>
          How many total non-farm business equipments are owned by the household?
        </qstnLit>
        <ivuInstr>
          Value of non-farm business equipment owned by household as on 30.06.02 will be obtained from cols 3 to 8 and will be recorded in cols 9 and 10 respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3000"/>
      </valrng>
      <sumStat type="vald">
        15214
      </sumStat>
      <sumStat type="invd">
        79389
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000
      </sumStat>
      <sumStat type="mean">
        6.211
      </sumStat>
      <sumStat type="stdev">
        34.517
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V406" name="B9_q10" files="F13" dcml="0" intrvl="contin">
      <location StartPos="89" EndPos="96" width="8" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the total value of non-farm business equipments owned by the household?
        </qstnLit>
        <ivuInstr>
          Value of non-farm business equipment owned by household as on 30.06.02 will be obtained from cols 3 to 8 and will be recorded in cols 9 and 10 respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="21480000"/>
      </valrng>
      <sumStat type="vald">
        93220
      </sumStat>
      <sumStat type="invd">
        1383
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        21480000
      </sumStat>
      <sumStat type="mean">
        11985.173
      </sumStat>
      <sumStat type="stdev">
        148477.626
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V407" name="NSS" files="F13" intrvl="discrete">
      <location StartPos="97" EndPos="98" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V408" name="NSC" files="F13" intrvl="discrete">
      <location StartPos="99" EndPos="101" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V409" name="MLT" files="F13" dcml="2" intrvl="contin">
      <location StartPos="102" EndPos="110" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="135099.45"/>
      </valrng>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        135099.45
      </sumStat>
      <sumStat type="mean">
        2448.114
      </sumStat>
      <sumStat type="stdev">
        3914.006
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V412" name="Weight" wgt="wgt" files="F13" dcml="2" intrvl="contin">
      <location StartPos="111" EndPos="116" width="6" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="675.49725"/>
      </valrng>
      <sumStat type="vald">
        94603
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        675.497
      </sumStat>
      <sumStat type="mean">
        12.33
      </sumStat>
      <sumStat type="stdev">
        20.313
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V443" name="HHID" files="F14" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V413" name="CentreCodeRndShift" files="F14" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V414" name="Vill_Blk_Slno" files="F14" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V415" name="Round" files="F14" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          165169
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V416" name="Schedule" files="F14" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          165169
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V417" name="Sample" files="F14" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          165169
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V418" name="Sector" files="F14" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          96697
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          68472
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V419" name="State_Region" files="F14" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V444" name="State" files="F14" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1582
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          7653
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          1094
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          1077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          4107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          7131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          24768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          7974
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          213
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          3210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          380
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          849
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          6282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          14779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          5227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          5510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          4397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          9191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          6443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          12372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          8443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          5663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          12673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          436
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V420" name="District" files="F14" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V421" name="Stratum" files="F14" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V422" name="SubRound" files="F14" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          82310
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          82859
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V423" name="SubSample" files="F14" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          82059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          83110
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V424" name="FOD_SubRegion" files="F14" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V425" name="HG_SubBlkNo" files="F14" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V426" name="Second_Stratum" files="F14" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V427" name="Visit_no" files="F14" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          165169
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V428" name="Hhold_no" files="F14" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V429" name="Level" files="F14" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          165169
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V430" name="B10_q1" files="F14" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          carts (hand-driven / animal driven)
        </labl>
        <catStat type="freq">
          6223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          bicycles
        </labl>
        <catStat type="freq">
          59679
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          rickshaws
        </labl>
        <catStat type="freq">
          1351
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[motor cycles/ scooters/ mopeds/ auto-rickshaws     ]]></labl>
        <catStat type="freq">
          18319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          motor cars/jeep/van
        </labl>
        <catStat type="freq">
          2933
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          trucks/light comm. vehicles (LCV)/ passenger buses
        </labl>
        <catStat type="freq">
          534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          tractor-trollies/ trailers/jugads
        </labl>
        <catStat type="freq">
          1208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          boats
        </labl>
        <catStat type="freq">
          256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          other transport equipment
        </labl>
        <catStat type="freq">
          661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          total ( items 1 to 9)
        </labl>
        <catStat type="freq">
          74005
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V431" name="B10_q3" files="F14" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="54" width="5" RecSegNo="1"/>
      <labl>
        Owned-No.
      </labl>
      <qstn>
        <qstnLit>
          How many transport equipments are owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[This block is to be filled in for visit 1 only. In this block, the number and the value of the household's share of all transport equipments owned on the date of survey will be recorded in cols.(3) and (4) respectively for each of the items listed under col.(2) irrespective of whether the equipments are used in the farm, non-farm or household purposes.  As regards transaction, the procedure for filling in similar columns of block 9 will be followed.  Like non-farm business equipments, transport equipments meant for sale by the household engaged in trading of those articles will not be considered.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="12600"/>
      </valrng>
      <sumStat type="vald">
        90066
      </sumStat>
      <sumStat type="invd">
        75103
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12600
      </sumStat>
      <sumStat type="mean">
        1.341
      </sumStat>
      <sumStat type="stdev">
        43.444
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V432" name="B10_q4" files="F14" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="62" width="8" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the total value of transport equipments owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[This block is to be filled in for visit 1 only. In this block, the number and the value of the household's share of all transport equipments owned on the date of survey will be recorded in cols.(3) and (4) respectively for each of the items listed under col.(2) irrespective of whether the equipments are used in the farm, non-farm or household purposes.  As regards transaction, the procedure for filling in similar columns of block 9 will be followed.  Like non-farm business equipments, transport equipments meant for sale by the household engaged in trading of those articles will not be considered.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15750000"/>
      </valrng>
      <sumStat type="vald">
        164548
      </sumStat>
      <sumStat type="invd">
        621
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15750000
      </sumStat>
      <sumStat type="mean">
        17162.429
      </sumStat>
      <sumStat type="stdev">
        111005.335
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V433" name="B10_q5" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="64" width="2" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-No.
      </labl>
      <qstn>
        <qstnLit>
          How many transport equipments are acquired by the household?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="10"/>
      </valrng>
      <sumStat type="vald">
        3092
      </sumStat>
      <sumStat type="invd">
        162077
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3041
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          162077
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V434" name="B10_q6" files="F14" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="71" width="7" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of transport equipments acquired by the household?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="4242000"/>
      </valrng>
      <sumStat type="vald">
        6393
      </sumStat>
      <sumStat type="invd">
        158776
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4242000
      </sumStat>
      <sumStat type="mean">
        47433.825
      </sumStat>
      <sumStat type="stdev">
        135002.757
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V435" name="B10_q7" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="73" width="2" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-No.
      </labl>
      <qstn>
        <qstnLit>
          How many transport equipments are disposed of by the household?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="10"/>
      </valrng>
      <sumStat type="vald">
        626
      </sumStat>
      <sumStat type="invd">
        164543
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          164543
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V436" name="B10_q8" files="F14" dcml="0" intrvl="contin">
      <location StartPos="74" EndPos="79" width="6" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          For how much the transport equipments were disposed of by the household?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="816000"/>
      </valrng>
      <sumStat type="vald">
        1277
      </sumStat>
      <sumStat type="invd">
        163892
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        816000
      </sumStat>
      <sumStat type="mean">
        21216.232
      </sumStat>
      <sumStat type="stdev">
        64161.833
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V437" name="B10_q9" files="F14" dcml="0" intrvl="contin">
      <location StartPos="80" EndPos="84" width="5" RecSegNo="1"/>
      <labl>
        Owned-No.
      </labl>
      <qstn>
        <qstnLit><![CDATA[How many total  transport equipments are owned by the household?]]></qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="12600"/>
      </valrng>
      <sumStat type="vald">
        88163
      </sumStat>
      <sumStat type="invd">
        77006
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12600
      </sumStat>
      <sumStat type="mean">
        1.342
      </sumStat>
      <sumStat type="stdev">
        43.911
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V438" name="B10_q10" files="F14" dcml="0" intrvl="contin">
      <location StartPos="85" EndPos="92" width="8" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the total value of transport equipments owned by the household?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="15750000"/>
      </valrng>
      <sumStat type="vald">
        161551
      </sumStat>
      <sumStat type="invd">
        3618
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15750000
      </sumStat>
      <sumStat type="mean">
        15771.441
      </sumStat>
      <sumStat type="stdev">
        107443.763
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V439" name="B10_q11" files="F14" intrvl="discrete">
      <location StartPos="93" EndPos="107" width="15" RecSegNo="1"/>
      <labl>
        Main use of transport equipment
      </labl>
      <qstn>
        <qstnLit>
          What is the main use of transport equipment?
        </qstnLit>
        <ivuInstr><![CDATA[The main use of the transport equipments owned by the household on 30.6.02 will be recorded in code numbers as given below:

for farm business .........	1
for non-farm business  ...	2
for household use  .......	3

If an equipment is used for more than one purpose, the main use has to be determined on the basis of the time utilisation of the said equipment during last 365 days.  If the number of an item of transport equipments owned by the household on 30.6.02 is two or more the particulars of main use have to be entered in col.(11) with comma (,) in between.  For example, if the household owned three bicycles on 30.6.02, one of which was used for the household purpose and two for non-farm business, then the entry in col. (11) would be  3, 2, 2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        88095
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          for farm business
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          for non-farm business
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          for household use
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V440" name="NSS" files="F14" intrvl="discrete">
      <location StartPos="108" EndPos="109" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V441" name="NSC" files="F14" intrvl="discrete">
      <location StartPos="110" EndPos="112" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V442" name="MLT" files="F14" dcml="2" intrvl="contin">
      <location StartPos="113" EndPos="121" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="258943.12"/>
      </valrng>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        258943.12
      </sumStat>
      <sumStat type="mean">
        2882.112
      </sumStat>
      <sumStat type="stdev">
        4400.057
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V445" name="Weight" wgt="wgt" files="F14" dcml="2" intrvl="contin">
      <location StartPos="122" EndPos="128" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="1294.7156"/>
      </valrng>
      <sumStat type="vald">
        165169
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        1294.716
      </sumStat>
      <sumStat type="mean">
        14.485
      </sumStat>
      <sumStat type="stdev">
        22.557
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V290" name="HHID" files="F9" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V261" name="CentreCodeRndShift" files="F9" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V262" name="Vill_Blk_Slno" files="F9" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V263" name="Round" files="F9" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          1123774
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V264" name="Schedule" files="F9" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          1123774
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V265" name="Sample" files="F9" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1123774
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V266" name="Sector" files="F9" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          638667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          485107
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V267" name="State_Region" files="F9" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V291" name="State" files="F9" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          21529
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          20585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          39278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          5006
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          9127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          22657
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          25916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          52010
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          114028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          57126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          10578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          7122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          8011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          22063
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          16445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          16090
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          15593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          37076
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          81000
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          23026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          26223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          17776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          48419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          42930
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          2291
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          2923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          98648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          68516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          48476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          3961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          2036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          53810
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          92256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          5739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          5504
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V268" name="District" files="F9" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V269" name="Stratum" files="F9" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          134699
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          124719
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          169619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          115259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <catStat type="freq">
          46774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <catStat type="freq">
          42018
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <catStat type="freq">
          30290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <catStat type="freq">
          25478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <catStat type="freq">
          26438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          23592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          22009
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          25666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          20746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          16447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          17127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          15904
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          16142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          14721
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          14035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          13457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          13329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <catStat type="freq">
          11283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <catStat type="freq">
          11486
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <catStat type="freq">
          10357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <catStat type="freq">
          10258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <catStat type="freq">
          11957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <catStat type="freq">
          10512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <catStat type="freq">
          9389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <catStat type="freq">
          9338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <catStat type="freq">
          10245
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <catStat type="freq">
          7151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <catStat type="freq">
          7567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <catStat type="freq">
          7995
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <catStat type="freq">
          5895
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <catStat type="freq">
          7131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <catStat type="freq">
          4676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <catStat type="freq">
          4945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <catStat type="freq">
          3806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <catStat type="freq">
          1800
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <catStat type="freq">
          3015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <catStat type="freq">
          1639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <catStat type="freq">
          1504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <catStat type="freq">
          1538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <catStat type="freq">
          1491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <catStat type="freq">
          1767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <catStat type="freq">
          1965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <catStat type="freq">
          1371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <catStat type="freq">
          2443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <catStat type="freq">
          1348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <catStat type="freq">
          1129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <catStat type="freq">
          702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <catStat type="freq">
          815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <catStat type="freq">
          772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <catStat type="freq">
          647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <catStat type="freq">
          675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <catStat type="freq">
          685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <catStat type="freq">
          999
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <catStat type="freq">
          740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          1105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <catStat type="freq">
          1066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <catStat type="freq">
          932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <catStat type="freq">
          634
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <catStat type="freq">
          943
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <catStat type="freq">
          956
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <catStat type="freq">
          1203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <catStat type="freq">
          600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <catStat type="freq">
          900
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <catStat type="freq">
          654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <catStat type="freq">
          1278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <catStat type="freq">
          759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <catStat type="freq">
          1004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <catStat type="freq">
          941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <catStat type="freq">
          661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <catStat type="freq">
          665
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <catStat type="freq">
          571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <catStat type="freq">
          606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <catStat type="freq">
          682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <catStat type="freq">
          950
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <catStat type="freq">
          837
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <catStat type="freq">
          579
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <catStat type="freq">
          873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <catStat type="freq">
          389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <catStat type="freq">
          1100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <catStat type="freq">
          651
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <catStat type="freq">
          394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <catStat type="freq">
          603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <catStat type="freq">
          488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <catStat type="freq">
          582
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V270" name="SubRound" files="F9" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          553418
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          570356
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V271" name="SubSample" files="F9" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          559960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          563814
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V272" name="FOD_SubRegion" files="F9" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V273" name="HG_SubBlkNo" files="F9" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V274" name="Second_Stratum" files="F9" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V275" name="Visit_no" files="F9" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1123774
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V276" name="Hhold_no" files="F9" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V277" name="Level" files="F9" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          1123774
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V278" name="B11_q1" files="F9" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          bedstead
        </labl>
        <catStat type="freq">
          123454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          steel / wooden almirah / dressing table
        </labl>
        <catStat type="freq">
          58782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          other furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          93947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[radio, record player/tape recorder/stereo/  musical instruments for household use ]]></labl>
        <catStat type="freq">
          52195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          television, VCR/VCP/VCD, DVD Player, home theatre, multimedia PC
        </labl>
        <catStat type="freq">
          57962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          other goods for recreation , entertainment and hobby
        </labl>
        <catStat type="freq">
          6832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          pressure cooker/ household utensils
        </labl>
        <catStat type="freq">
          136274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          gas/electric oven/cooking range/ microwave oven
        </labl>
        <catStat type="freq">
          39668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          electric fan, clock/ watch, water filter / electric iron/ sewing machine
        </labl>
        <catStat type="freq">
          102913
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          refrigerator/ air cooler/ air conditioner/ washing machine
        </labl>
        <catStat type="freq">
          21029
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          other cooking and household appliances
        </labl>
        <catStat type="freq">
          78563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          therapeutic appliances and other personal goods
        </labl>
        <catStat type="freq">
          6889
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[bullions & ornaments  ]]></labl>
        <catStat type="freq">
          113236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[ other durables  ]]></labl>
        <catStat type="freq">
          89215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          total (items 1 to 14)
        </labl>
        <catStat type="freq">
          142815
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V279" name="B11_q3" files="F9" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="53" width="4" RecSegNo="1"/>
      <labl>
        Owned as on date of survey-No.
      </labl>
      <qstn>
        <qstnLit>
          How many durable assets are owned by the household on the date of survey?
        </qstnLit>
        <ivuInstr>
          The number and value of all the household durable goods owned by the household on the date of survey will be recorded in whole numbers in cols. (3) and (4) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="2500"/>
      </valrng>
      <sumStat type="vald">
        584191
      </sumStat>
      <sumStat type="invd">
        539583
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2500
      </sumStat>
      <sumStat type="mean">
        8.498
      </sumStat>
      <sumStat type="stdev">
        20.855
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V280" name="B11_q4" files="F9" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="60" width="7" RecSegNo="1"/>
      <labl>
        Owned as on date of survey-Value
      </labl>
      <qstn>
        <qstnLit>
          What is the value of durable assets are owned by the household on the date of survey?
        </qstnLit>
        <ivuInstr>
          The number and value of all the household durable goods owned by the household on the date of survey will be recorded in whole numbers in cols. (3) and (4) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="8475000"/>
      </valrng>
      <sumStat type="vald">
        1123506
      </sumStat>
      <sumStat type="invd">
        268
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        8475000
      </sumStat>
      <sumStat type="mean">
        5766.748
      </sumStat>
      <sumStat type="stdev">
        21549.975
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V281" name="B11_q5" files="F9" dcml="0" intrvl="contin">
      <location StartPos="61" EndPos="65" width="5" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-No.
      </labl>
      <qstn>
        <qstnLit>
          How many durable assets are acquired by the household?
        </qstnLit>
        <ivuInstr>
          While any acquisition during 1.7.02 to date of survey will be recorded in cols (5) and (6) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="13000"/>
      </valrng>
      <sumStat type="vald">
        22083
      </sumStat>
      <sumStat type="invd">
        1101691
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        13000
      </sumStat>
      <sumStat type="mean">
        4.507
      </sumStat>
      <sumStat type="stdev">
        109.163
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V282" name="B11_q6" files="F9" dcml="0" intrvl="contin">
      <location StartPos="66" EndPos="73" width="8" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-Value
      </labl>
      <qstn>
        <qstnLit>
          What is the value of durable assets are acquired by the household on the date of survey?
        </qstnLit>
        <ivuInstr>
          While any acquisition during 1.7.02 to date of survey will be recorded in cols (5) and (6) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="97501100"/>
      </valrng>
      <sumStat type="vald">
        54682
      </sumStat>
      <sumStat type="invd">
        1069092
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        97501100
      </sumStat>
      <sumStat type="mean">
        6806.846
      </sumStat>
      <sumStat type="stdev">
        615007.194
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V283" name="B11_q7" files="F9" dcml="0" intrvl="contin">
      <location StartPos="74" EndPos="78" width="5" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-No.
      </labl>
      <qstn>
        <qstnLit>
          How many durable assets were disposed of by the household?
        </qstnLit>
        <ivuInstr>
          Number and value of the assets, the disposed during the said reference period will be noted in cols. (7) and (8).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="13000"/>
      </valrng>
      <sumStat type="vald">
        3131
      </sumStat>
      <sumStat type="invd">
        1120643
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        13000
      </sumStat>
      <sumStat type="mean">
        11.991
      </sumStat>
      <sumStat type="stdev">
        289.523
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V284" name="B11_q8" files="F9" dcml="0" intrvl="contin">
      <location StartPos="79" EndPos="86" width="8" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-Value
      </labl>
      <qstn>
        <qstnLit>
          For how much the durable assets were disposed of by the household?
        </qstnLit>
        <ivuInstr>
          Number and value of the assets, the disposed during the said reference period will be noted in cols. (7) and (8).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="97500000"/>
      </valrng>
      <sumStat type="vald">
        10027
      </sumStat>
      <sumStat type="invd">
        1113747
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        97500000
      </sumStat>
      <sumStat type="mean">
        28406.557
      </sumStat>
      <sumStat type="stdev">
        1435958.222
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V285" name="B11_q9" files="F9" dcml="0" intrvl="contin">
      <location StartPos="87" EndPos="90" width="4" RecSegNo="1"/>
      <labl>
        Owned as on 30-06-2002-No.
      </labl>
      <qstn>
        <qstnLit>
          How many durable assets are owned by the household on 30 th June 2002?
        </qstnLit>
        <ivuInstr><![CDATA[The number and value of durable assets owned by the household on 30.6.02/30.06.03   will be recorded in cols. (9) and (10) respectively.  The figures will be derived as follows:

col. (9) = col. (3) + col. (7) - col. (5)
col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="2500"/>
      </valrng>
      <sumStat type="vald">
        580981
      </sumStat>
      <sumStat type="invd">
        542793
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2500
      </sumStat>
      <sumStat type="mean">
        8.438
      </sumStat>
      <sumStat type="stdev">
        20.683
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V286" name="B11_q10" files="F9" dcml="0" intrvl="contin">
      <location StartPos="91" EndPos="97" width="7" RecSegNo="1"/>
      <labl>
        Owned as on 30-06-2002-Value
      </labl>
      <qstn>
        <qstnLit>
          What is the total value of durable assets are owned by the household on 30th June 2002?
        </qstnLit>
        <ivuInstr><![CDATA[The number and value of durable assets owned by the household on 30.6.02/30.06.03   will be recorded in cols. (9) and (10) respectively.  The figures will be derived as follows:

col. (9) = col. (3) + col. (7) - col. (5)
col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="8350000"/>
      </valrng>
      <sumStat type="vald">
        1119223
      </sumStat>
      <sumStat type="invd">
        4551
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8350000
      </sumStat>
      <sumStat type="mean">
        5710.744
      </sumStat>
      <sumStat type="stdev">
        21250.329
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V287" name="NSS" files="F9" intrvl="discrete">
      <location StartPos="98" EndPos="99" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V288" name="NSC" files="F9" intrvl="discrete">
      <location StartPos="100" EndPos="102" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V289" name="MLT" files="F9" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="111" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="421093.16"/>
      </valrng>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        421093.16
      </sumStat>
      <sumStat type="mean">
        2703.324
      </sumStat>
      <sumStat type="stdev">
        4593.538
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V292" name="Weight" wgt="wgt" files="F9" dcml="2" intrvl="contin">
      <location StartPos="112" EndPos="118" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="2105.4658"/>
      </valrng>
      <sumStat type="vald">
        1123774
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        2105.466
      </sumStat>
      <sumStat type="mean">
        13.604
      </sumStat>
      <sumStat type="stdev">
        23.814
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V471" name="HHID" files="F15" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V446" name="CentreCodeRndShift" files="F15" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V447" name="Vill_Blk_Slno" files="F15" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V448" name="Round" files="F15" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          20428
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V449" name="Schedule" files="F15" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          20428
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V450" name="Sample" files="F15" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          20428
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V451" name="Sector" files="F15" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          12378
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          8050
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V452" name="State_Region" files="F15" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V472" name="State" files="F15" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          860
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          1615
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          6551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          1621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          3646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          1529
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V453" name="District" files="F15" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V454" name="Stratum" files="F15" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V455" name="SubRound" files="F15" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          10538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          9890
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V456" name="SubSample" files="F15" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          10108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          10320
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V457" name="FOD_SubRegion" files="F15" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V458" name="HG_SubBlkNo" files="F15" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V459" name="Second_Stratum" files="F15" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V460" name="Visit_no" files="F15" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          20428
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V461" name="Hhold_no" files="F15" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V462" name="Level" files="F15" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          20428
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V463" name="B12_q1" files="F15" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          co-operative credit society/ bank
        </labl>
        <catStat type="freq">
          7832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          co-operative non credit society
        </labl>
        <catStat type="freq">
          842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          commercial bank
        </labl>
        <catStat type="freq">
          746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          financial company
        </labl>
        <catStat type="freq">
          169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          non-financial company
        </labl>
        <catStat type="freq">
          344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          mutual funds
        </labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          total ( items 1 to7)
        </labl>
        <catStat type="freq">
          9935
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V464" name="B12_q3" files="F15" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="56" width="7" RecSegNo="1"/>
      <labl>
        Value as on the date of survey (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What is the value of shares & debentures owned by the household in co operative societies & companies as on the date  of  survey?]]></qstnLit>
        <ivuInstr><![CDATA[The ownership on the date of survey and disposal and acquisition during 1.7.02 to date of survey of financial assets listed in col. (2) will be collected in cols. (3), (4) and (5) respectively.  The value of these assets owned by the household as on 30.6.02 will be worked out in the following way:

col. (6) = col. (3) + col. (5) - col. (4)]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="5147500"/>
      </valrng>
      <sumStat type="vald">
        20387
      </sumStat>
      <sumStat type="invd">
        41
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5147500
      </sumStat>
      <sumStat type="mean">
        8835.222
      </sumStat>
      <sumStat type="stdev">
        81831.923
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V465" name="B12_q4" files="F15" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="63" width="7" RecSegNo="1"/>
      <labl>
        Value of transactions-Acquisition (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What is the value of shares & debentures acquired by the household in co operative societies & companies as on the date  of  survey?]]></qstnLit>
        <ivuInstr><![CDATA[The ownership on the date of survey and disposal and acquisition during 1.7.02 to date of survey of financial assets listed in col. (2) will be collected in cols. (3), (4) and (5) respectively.  The value of these assets owned by the household as on 30.6.02 will be worked out in the following way:

col. (6) = col. (3) + col. (5) - col. (4)]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="5" max="1500000"/>
      </valrng>
      <sumStat type="vald">
        2603
      </sumStat>
      <sumStat type="invd">
        17825
      </sumStat>
      <sumStat type="min">
        5
      </sumStat>
      <sumStat type="max">
        1500000
      </sumStat>
      <sumStat type="mean">
        5607.073
      </sumStat>
      <sumStat type="stdev">
        44370.575
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V466" name="B12_q5" files="F15" dcml="0" intrvl="contin">
      <location StartPos="64" EndPos="70" width="7" RecSegNo="1"/>
      <labl>
        Value of transactions-Disposal (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[For how much the shares & debentures were disposed of by the household in co operative societies & companies as on the date  of  survey?]]></qstnLit>
        <ivuInstr><![CDATA[The ownership on the date of survey and disposal and acquisition during 1.7.02 to date of survey of financial assets listed in col. (2) will be collected in cols. (3), (4) and (5) respectively.  The value of these assets owned by the household as on 30.6.02 will be worked out in the following way:

col. (6) = col. (3) + col. (5) - col. (4)]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2850000"/>
      </valrng>
      <sumStat type="vald">
        415
      </sumStat>
      <sumStat type="invd">
        20013
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2850000
      </sumStat>
      <sumStat type="mean">
        31377.827
      </sumStat>
      <sumStat type="stdev">
        199586.543
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V467" name="B12_q6" files="F15" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="77" width="7" RecSegNo="1"/>
      <labl>
        Value as on 30-06-2002 (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of shares &amp; debentures owned by the household in co operative societies &amp; companies as on30th June 2002?
        </qstnLit>
        <ivuInstr><![CDATA[The ownership on the date of survey and disposal and acquisition during 1.7.02 to date of survey of financial assets listed in col. (2) will be collected in cols. (3), (4) and (5) respectively.  The value of these assets owned by the household as on 30.6.02 will be worked out in the following way:

col. (6) = col. (3) + col. (5) - col. (4)]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="5172500"/>
      </valrng>
      <sumStat type="vald">
        19985
      </sumStat>
      <sumStat type="invd">
        443
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5172500
      </sumStat>
      <sumStat type="mean">
        8934.214
      </sumStat>
      <sumStat type="stdev">
        85681.083
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V468" name="NSS" files="F15" intrvl="discrete">
      <location StartPos="78" EndPos="79" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V469" name="NSC" files="F15" intrvl="discrete">
      <location StartPos="80" EndPos="82" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V470" name="MLT" files="F15" dcml="2" intrvl="contin">
      <location StartPos="83" EndPos="91" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="154415.62"/>
      </valrng>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        154415.62
      </sumStat>
      <sumStat type="mean">
        2806.785
      </sumStat>
      <sumStat type="stdev">
        4218.016
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V473" name="Weight" wgt="wgt" files="F15" dcml="2" intrvl="contin">
      <location StartPos="92" EndPos="97" width="6" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="772.0781"/>
      </valrng>
      <sumStat type="vald">
        20428
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        772.078
      </sumStat>
      <sumStat type="mean">
        14.076
      </sumStat>
      <sumStat type="stdev">
        21.182
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V346" name="HHID" files="F11" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V319" name="CentreCodeRndShift" files="F11" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V320" name="Vill_Blk_Slno" files="F11" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V321" name="Round" files="F11" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          346612
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V322" name="Schedule" files="F11" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          346612
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V323" name="Sample" files="F11" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          346612
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V324" name="Sector" files="F11" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          194254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          152358
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V325" name="State_Region" files="F11" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V347" name="State" files="F11" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          6006
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          6908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          10761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          1833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          3125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          6656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          6584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          15066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          35621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          14727
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          3626
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1950
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          5874
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          3877
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          3812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          4140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          11029
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          26471
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          7072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          7802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          5462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          15508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          12970
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          1121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          33798
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          22340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          15053
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          1191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          16594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          32327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          2052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          2399
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V326" name="District" files="F11" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V327" name="Stratum" files="F11" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V328" name="SubRound" files="F11" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          168567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          178045
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V329" name="SubSample" files="F11" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          172191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          174421
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V330" name="FOD_SubRegion" files="F11" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V331" name="HG_SubBlkNo" files="F11" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V332" name="Second_Stratum" files="F11" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V333" name="Visit_no" files="F11" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          346612
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V334" name="Hhold_no" files="F11" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V335" name="Level" files="F11" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          346612
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V336" name="B13_q1" files="F11" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <qstn>
        <ivuInstr><![CDATA[This block is provided for collecting information on financial assets not covered in block 12 above.  The financial assets to be considered here are the different types of certificates/securities issued by the government or banks, viz. NSC, Indira Vikas Patra, Kisan Vikas Patra, RBI Bonds or deposits in post office, cooperative societies/banks, commercial banks, companies, insurance companies etc.  In case of certificates, the amount paid at the time of purchase will be considered and for deposits the total amount including interest accrued should be taken into account.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          government certificates viz. NSC , Indira vikas patra, kisan vikas patra, RBI Bonds etc.
        </labl>
        <catStat type="freq">
          2390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[deposit in post office  including national saving scheme deposits]]></labl>
        <catStat type="freq">
          4778
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          deposit in co-operative society/bank
        </labl>
        <catStat type="freq">
          6528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          deposit in commercial bank
        </labl>
        <catStat type="freq">
          24442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          deposit in non-banking company
        </labl>
        <catStat type="freq">
          4259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[chit contribution made  ]]></labl>
        <catStat type="freq">
          1442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          deposit with individuals
        </labl>
        <catStat type="freq">
          1951
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ insurance  premium]]></labl>
        <catStat type="freq">
          15816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          annuity certificates
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          provident fund
        </labl>
        <catStat type="freq">
          14089
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          cash in hand
        </labl>
        <catStat type="freq">
          125646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          other financial assets
        </labl>
        <catStat type="freq">
          16245
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          net amount ( items 1 to 12)
        </labl>
        <catStat type="freq">
          128842
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V337" name="B13_q3" files="F11" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Value as on the date of survey-sign
      </labl>
      <sumStat type="vald">
        411
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          411
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V338" name="B13_q4" files="F11" dcml="0" intrvl="contin">
      <location StartPos="51" EndPos="58" width="8" RecSegNo="1"/>
      <labl>
        Value as on the date of survey-value (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What is the value of financial assets other than shares & debentures owned by the household as on the date  of  survey?]]></qstnLit>
        <ivuInstr>
          Value of the assets as on the date of survey is to be recorded in col. (3).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="24200000"/>
      </valrng>
      <sumStat type="vald">
        346278
      </sumStat>
      <sumStat type="invd">
        334
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        24200000
      </sumStat>
      <sumStat type="mean">
        15999.365
      </sumStat>
      <sumStat type="stdev">
        87540.6
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V339" name="B13_q5" files="F11" dcml="0" intrvl="contin">
      <location StartPos="59" EndPos="66" width="8" RecSegNo="1"/>
      <labl>
        Value of transactions-Acquisition (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What is the value of financial assets other than shares & debentures acquired by the household as on the date  of  survey?]]></qstnLit>
        <ivuInstr><![CDATA[Provision has been made to record the transaction of these assets during 1.7.02 to date of survey in cols. (5) and (6).  All transfer of financial assets specified on col.(2) to others free of charge or against payment received in cash or in kind and all reductions in financial assets through withdrawal of deposits will be recorded in col.(6).  Disposal of these assets by other means such as gift etc. will also be included.  The term “purchase/deposit” in col.(5) will include all acquisition of assets through payment in cash or in kind, including the payment of insurance premium, contribution to provident fund, subscription to chit fund, additions to deposits etc.  The interest accrued during the reference period may also be recorded under acquisition in case of deposits.  Acquisition of these assets by other means such as gift received etc. will also be shown here.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="18000000"/>
      </valrng>
      <sumStat type="vald">
        74447
      </sumStat>
      <sumStat type="invd">
        272165
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        18000000
      </sumStat>
      <sumStat type="mean">
        14891.259
      </sumStat>
      <sumStat type="stdev">
        142223.718
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V340" name="B13_q6" files="F11" dcml="0" intrvl="contin">
      <location StartPos="67" EndPos="74" width="8" RecSegNo="1"/>
      <labl>
        Value of transactions-Disposal (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[For how much the financial assets other than shares & debentures were disposed of by the household as on the date  of  survey?]]></qstnLit>
        <ivuInstr><![CDATA[Provision has been made to record the transaction of these assets during 1.7.02 to date of survey in cols. (5) and (6).  All transfer of financial assets specified on col.(2) to others free of charge or against payment received in cash or in kind and all reductions in financial assets through withdrawal of deposits will be recorded in col.(6).  Disposal of these assets by other means such as gift etc. will also be included.  The term "purchase/deposit" in col.(5) will include all acquisition of assets through payment in cash or in kind, including the payment of insurance premium, contribution to provident fund, subscription to chit fund, additions to deposits etc.  The interest accrued during the reference period may also be recorded under acquisition in case of deposits.  Acquisition of these assets by other means such as gift received etc. will also be shown here.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="20000000"/>
      </valrng>
      <sumStat type="vald">
        26751
      </sumStat>
      <sumStat type="invd">
        319861
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        20000000
      </sumStat>
      <sumStat type="mean">
        28993.407
      </sumStat>
      <sumStat type="stdev">
        252727.178
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V341" name="B13_q7" files="F11" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Value as on 30-06-2002-sign
      </labl>
      <sumStat type="vald">
        290
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          290
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V342" name="B13_q8" files="F11" dcml="0" intrvl="contin">
      <location StartPos="76" EndPos="83" width="8" RecSegNo="1"/>
      <labl>
        Value as on 30-06-2002-value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the total net value of financial assets other than shares &amp; debentures owned by the household as on30th June 2002?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="-388000" max="17621700"/>
      </valrng>
      <sumStat type="vald">
        216377
      </sumStat>
      <sumStat type="invd">
        130235
      </sumStat>
      <sumStat type="min">
        -388000
      </sumStat>
      <sumStat type="max">
        17621700
      </sumStat>
      <sumStat type="mean">
        23525.164
      </sumStat>
      <sumStat type="stdev">
        105061.523
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V343" name="NSS" files="F11" intrvl="discrete">
      <location StartPos="84" EndPos="85" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V344" name="NSC" files="F11" intrvl="discrete">
      <location StartPos="86" EndPos="88" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V345" name="MLT" files="F11" dcml="2" intrvl="contin">
      <location StartPos="89" EndPos="97" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="380342.21"/>
      </valrng>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        380342.21
      </sumStat>
      <sumStat type="mean">
        2743.703
      </sumStat>
      <sumStat type="stdev">
        4606.8
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V348" name="Weight" wgt="wgt" files="F11" dcml="2" intrvl="contin">
      <location StartPos="98" EndPos="104" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="1901.71105"/>
      </valrng>
      <sumStat type="vald">
        346612
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        1901.711
      </sumStat>
      <sumStat type="mean">
        13.813
      </sumStat>
      <sumStat type="stdev">
        23.952
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V499" name="HHID" files="F16" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V474" name="CentreCodeRndShift" files="F16" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V475" name="Vill_Blk_Slno" files="F16" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V476" name="Round" files="F16" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          7272
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V477" name="Schedule" files="F16" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          7272
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V478" name="Sample" files="F16" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          7272
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V479" name="Sector" files="F16" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          4134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          3138
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V480" name="State_Region" files="F16" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V500" name="State" files="F16" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          900
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V481" name="District" files="F16" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V482" name="Stratum" files="F16" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V483" name="SubRound" files="F16" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          4093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3179
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V484" name="SubSample" files="F16" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          3859
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          3413
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V485" name="FOD_SubRegion" files="F16" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V486" name="HG_SubBlkNo" files="F16" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V487" name="Second_Stratum" files="F16" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V488" name="Visit_no" files="F16" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          7272
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V489" name="Hhold_no" files="F16" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V490" name="Level" files="F16" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          7272
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V491" name="B14_q1" files="F16" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <qstn>
        <ivuInstr>
          This block is meant for collecting information in respect of amount receivable by the household on the date of survey on account of loans advanced by them in cash or in kind and the transactions of such loans during the reference periods, viz. 1.7.02 to the date of survey during the first visit and 1.7.03 to the date of survey in second visit.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          promissary note
        </labl>
        <catStat type="freq">
          267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[mortgage of  real estate]]></labl>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          pledge of bullion &amp; ornaments/ other moveable property
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          unsecured loan
        </labl>
        <catStat type="freq">
          668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[professional dues,  trade credit]]></labl>
        <catStat type="freq">
          1353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          kind loans
        </labl>
        <catStat type="freq">
          361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          850
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          total ( items 1 to 7)
        </labl>
        <catStat type="freq">
          3558
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V492" name="B14_q3" files="F16" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="56" width="7" RecSegNo="1"/>
      <labl>
        Amt. receivable-on date of survey
      </labl>
      <qstn>
        <qstnLit>
          How much is the amount of cash loans and kind loans receivable by household against different securities or heads on the date of survey ?
        </qstnLit>
        <ivuInstr>
          Loans receivable against different securities such as promissory notes, mortgage of real asset or bullion and ornaments and pledge of other movable properties etc., are to be recorded against items 1 to 3 respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3000000"/>
      </valrng>
      <sumStat type="vald">
        7224
      </sumStat>
      <sumStat type="invd">
        48
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000000
      </sumStat>
      <sumStat type="mean">
        28852.798
      </sumStat>
      <sumStat type="stdev">
        121061.727
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V493" name="B14_q4" files="F16" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="64" width="8" RecSegNo="1"/>
      <labl>
        Value of transactions-Lent out
      </labl>
      <qstn>
        <qstnLit>
          What is the value of cash loans and kind loans lent out by household against different securities or heads on the date of survey?
        </qstnLit>
        <ivuInstr>
          The total amount lent out during the reference period by the household will be recorded in col. (4).
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="17508750"/>
      </valrng>
      <sumStat type="vald">
        2716
      </sumStat>
      <sumStat type="invd">
        4556
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        17508750
      </sumStat>
      <sumStat type="mean">
        52990.703
      </sumStat>
      <sumStat type="stdev">
        592611.338
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V494" name="B14_q5" files="F16" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="72" width="8" RecSegNo="1"/>
      <labl>
        Value of trans.-as repayment
      </labl>
      <qstn>
        <qstnLit>
          What is the total amount received by the household by way of repayment of loan advanced to others including the interest accrued up to 30.6.02/30.6.03?
        </qstnLit>
        <ivuInstr>
          The total amount received by the household during the reference period by way of repayment of loan advanced to others within or prior to reference period, including the interest accrued up to 30.6.02/30.6.03, will be recorded in col.(5).
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="17010000"/>
      </valrng>
      <sumStat type="vald">
        2299
      </sumStat>
      <sumStat type="invd">
        4973
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        17010000
      </sumStat>
      <sumStat type="mean">
        62154.689
      </sumStat>
      <sumStat type="stdev">
        695767.295
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1329" name="B14_q6" files="F16" dcml="0" intrvl="contin">
      <location StartPos="73" EndPos="79" width="7" RecSegNo="1"/>
      <labl>
        Amount receivable-on 30-06-2002
      </labl>
      <qstn>
        <qstnLit>
          What is the total amount receivable by the household on30.6.02?
        </qstnLit>
        <ivuInstr><![CDATA[To obtain the information on 'receivable on 30.6.02/30.6.03' for recorded the same in col. (6), the following algebraic relation will be used:

Col (6) = Col. (3) + Col. (5) - Col. (4)]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        6650
      </sumStat>
      <sumStat type="invd">
        622
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V496" name="NSS" files="F16" intrvl="discrete">
      <location StartPos="80" EndPos="81" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V497" name="NSC" files="F16" intrvl="discrete">
      <location StartPos="82" EndPos="84" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V498" name="MLT" files="F16" dcml="2" intrvl="contin">
      <location StartPos="85" EndPos="92" width="8" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.89" max="96412.14"/>
      </valrng>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.89
      </sumStat>
      <sumStat type="max">
        96412.14
      </sumStat>
      <sumStat type="mean">
        2459.634
      </sumStat>
      <sumStat type="stdev">
        3883.106
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V501" name="Weight" wgt="wgt" files="F16" dcml="2" intrvl="contin">
      <location StartPos="93" EndPos="98" width="6" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02945" max="482.0607"/>
      </valrng>
      <sumStat type="vald">
        7272
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0294
      </sumStat>
      <sumStat type="max">
        482.061
      </sumStat>
      <sumStat type="mean">
        12.444
      </sumStat>
      <sumStat type="stdev">
        20.734
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V378" name="HHID" files="F12" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V349" name="CentreCodeRndShift" files="F12" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V350" name="Vill_Blk_Slno" files="F12" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V351" name="Round" files="F12" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          143195
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V352" name="Schedule" files="F12" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          143195
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V353" name="Sample" files="F12" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          143195
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V354" name="Sector" files="F12" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          91162
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          52033
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V355" name="State_Region" files="F12" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V379" name="State" files="F12" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          2323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          2344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          3974
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          503
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          1165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          2629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          6671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          16456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          8182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          893
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          2560
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1862
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2345
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          4763
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          11115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          3519
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          4272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          2636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          6585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          4553
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          11658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          9365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          6260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          6029
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          11235
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          670
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          593
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V356" name="District" files="F12" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V357" name="Stratum" files="F12" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V358" name="SubRound" files="F12" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          71579
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          71616
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V359" name="SubSample" files="F12" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          71653
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          71542
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V360" name="FOD_SubRegion" files="F12" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V361" name="HG_SubBlkNo" files="F12" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V362" name="Second_Stratum" files="F12" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V363" name="Visit_no" files="F12" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          143195
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V364" name="Hhold_no" files="F12" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V365" name="Level" files="F12" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          143195
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V366" name="B15_1_1" files="F12" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Any cash loan outstanding ?
      </labl>
      <qstn>
        <qstnLit>
          Whether any member of the household has any cash loan outstanding, i.e. whether any amount remains payable on the date of survey?
        </qstnLit>
        <ivuInstr><![CDATA[It is to be ascertained from the respondent whether any member of the household has any cash loan outstanding, i.e. whether any amount remains payable on the date of survey.  Code '1' will be entered if the answer is affirmative; otherwise code '2' will be recorded against this item.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          70558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          72637
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V367" name="B15_1_2" files="F12" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        No. of cash loans outstanding to inst. agency
      </labl>
      <qstn>
        <qstnLit>
          If any member of the household has any cash loan outstanding, how many such cash loans are outstanding to institutional agency?
        </qstnLit>
        <ivuInstr>
          If the answer to column (1) is '1' number of loans which remain outstanding on the date of survey will be recorded in the box spaces provided against column (2) and/or (3), depending on whether those loans were taken from institutional agencies or non-institutional agencies or from both.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="13"/>
      </valrng>
      <sumStat type="vald">
        35452
      </sumStat>
      <sumStat type="invd">
        107743
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          2067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          29290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          107743
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V368" name="B15_1_3" files="F12" dcml="0" intrvl="discrete">
      <location StartPos="51" EndPos="52" width="2" RecSegNo="1"/>
      <labl>
        No. of cash loans outstanding to non-inst. agency
      </labl>
      <qstn>
        <qstnLit>
          If any member of the household has any cash loan outstanding, how many such cash loans are outstanding to non-institutional agency?
        </qstnLit>
        <ivuInstr>
          If the answer to column (1) is '1' number of loans which remain outstanding on the date of survey will be recorded in the box spaces provided against column (2) and/or (3), depending on whether those loans were taken from institutional agencies or non-institutional agencies or from both.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="12"/>
      </valrng>
      <sumStat type="vald">
        44326
      </sumStat>
      <sumStat type="invd">
        98869
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          1754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          34110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          4687
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2845
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          539
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          98869
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V369" name="B15_1_4" files="F12" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Any cash loan repaid fully?
      </labl>
      <qstn>
        <qstnLit>
          Any cash loan repaid fully?
        </qstnLit>
        <ivuInstr><![CDATA[The household may not have any loan outstanding on the date of survey. But, it may have repaid some loans during 1.7.02 to the date of survey during the first visit and 1.1.03 to the date of survey during the second visit.  It is also possible that the household has some outstanding loan on the date of survey and also has repaid fully some other loans (not the loans already recorded against columns (2) and (3)) during the reference period.  Information to be sought against column (4) relates to the loans whose final repayment was made during the reference period and no amount of those loans remains outstanding on the date of survey.  In some situation, it is possible that household takes a second loan from the same source, say provident fund, before the first loan is fully repaid and the amount of the first loan is so adjusted that the amount borrowed from the second loan gets inflated by the amount unpaid on account  of the first loan.  In all such cases, the second loan will be considered as outstanding on the date of survey, while the first loan will be treated as repaid fully the reference period.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          1568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          141627
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V370" name="B15_1_5" files="F12" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        No. of cash loans repaid-inst.agency
      </labl>
      <qstn>
        <qstnLit>
          How many cash loans have been repaid to institutional agency?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="4"/>
      </valrng>
      <sumStat type="vald">
        1385
      </sumStat>
      <sumStat type="invd">
        141810
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          845
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          141810
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V371" name="B15_1_6" files="F12" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl><![CDATA[No. of  loans repaid-non-inst.agency]]></labl>
      <qstn>
        <qstnLit>
          How many cash loans have been repaid to non-institutional agency?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="7"/>
      </valrng>
      <sumStat type="vald">
        1046
      </sumStat>
      <sumStat type="invd">
        142149
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          142149
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V372" name="B15_1_7" files="F12" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Any cash loan written off?
      </labl>
      <qstn>
        <qstnLit>
          Any cash loan written off?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes to provide debt relief to farmer and others, the government agencies, banks etc., exempt the household from repaying a loan fully or partly and consider such loan as cleared up.  Whether any loan other than those recorded against columns (2), (3), (5) and (6) is written off during 1.7.02 to the date of survey in the first visit and 1.1.03 to the date of survey in the second visit will be ascertained and recorded against column (7) in terms of codes: yes-1, no-2.  If the code against column (7) is '1', number of such loans will be recorded against column (8) and/or (9).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          143046
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V373" name="B15_1_8" files="F12" dcml="0" intrvl="discrete">
      <location StartPos="57" EndPos="57" width="1" RecSegNo="1"/>
      <labl><![CDATA[No. of  loans written off-inst.agency]]></labl>
      <qstn>
        <qstnLit>
          How many cash loan have been written off by institutional agency?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes to provide debt relief to farmer and others, the government agencies, banks etc., exempt the household from repaying a loan fully or partly and consider such loan as cleared up.  Whether any loan other than those recorded against columns (2), (3), (5) and (6) is written off during 1.7.02 to the date of survey in the first visit and 1.1.03 to the date of survey in the second visit will be ascertained and recorded against column (7) in terms of codes: yes-1, no-2.  If the code against column (7) is '1', number of such loans will be recorded against column (8) and/or (9).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        343
      </sumStat>
      <sumStat type="invd">
        142852
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          142852
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V374" name="B15_1_9" files="F12" dcml="0" intrvl="discrete">
      <location StartPos="58" EndPos="58" width="1" RecSegNo="1"/>
      <labl><![CDATA[No. of  loans written off-non-inst.ag.]]></labl>
      <qstn>
        <qstnLit>
          How many cash loan have been written off by non-institutional agency?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes to provide debt relief to farmer and others, the government agencies, banks etc., exempt the household from repaying a loan fully or partly and consider such loan as cleared up.  Whether any loan other than those recorded against columns (2), (3), (5) and (6) is written off during 1.7.02 to the date of survey in the first visit and 1.1.03 to the date of survey in the second visit will be ascertained and recorded against column (7) in terms of codes: yes-1, no-2.  If the code against column (7) is '1', number of such loans will be recorded against column (8) and/or (9).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <sumStat type="vald">
        263
      </sumStat>
      <sumStat type="invd">
        142932
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          213
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          142932
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V375" name="NSS" files="F12" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V376" name="NSC" files="F12" intrvl="discrete">
      <location StartPos="61" EndPos="63" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V377" name="MLT" files="F12" dcml="2" intrvl="contin">
      <location StartPos="64" EndPos="72" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="421093.16"/>
      </valrng>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        421093.16
      </sumStat>
      <sumStat type="mean">
        2820.215
      </sumStat>
      <sumStat type="stdev">
        4764.114
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V380" name="Weight" wgt="wgt" files="F12" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="79" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="2105.4658"/>
      </valrng>
      <sumStat type="vald">
        143195
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        2105.466
      </sumStat>
      <sumStat type="mean">
        14.197
      </sumStat>
      <sumStat type="stdev">
        24.667
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V570" name="HHID" files="F18" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V534" name="CentreCodeRndShift" files="F18" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V535" name="Vill_Blk_Slno" files="F18" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V536" name="Round" files="F18" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          97281
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V537" name="Schedule" files="F18" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          97281
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V538" name="Sample" files="F18" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          97281
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V539" name="Sector" files="F18" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          63889
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          33392
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V540" name="State_Region" files="F18" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V571" name="State" files="F18" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          2762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          2049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          4663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          11496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          4597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          615
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1415
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          698
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          1259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          331
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          6966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          2821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1710
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          4412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          3011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          7954
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          9624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          4229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          6706
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          10768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          745
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          363
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V541" name="District" files="F18" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V542" name="Stratum" files="F18" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V543" name="SubRound" files="F18" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          49389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          47892
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V544" name="SubSample" files="F18" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          48628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          48653
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V545" name="FOD_SubRegion" files="F18" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V546" name="HG_SubBlkNo" files="F18" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V547" name="Second_Stratum" files="F18" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V548" name="Visit_no" files="F18" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          97281
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V549" name="Hhold_no" files="F18" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V550" name="Level" files="F18" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          97281
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V551" name="B15_2_q1" files="F18" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Srl. No. of loan
      </labl>
      <qstn>
        <ivuInstr><![CDATA[For recording the loans in this block, a specific order is to be maintained.  All loans reported against column (2) of block 15.1 will be listed first in this block under 'institutional agencies', followed by loans accounted for in columns (5) and (8) of block 15.1 respectively.  Thereafter, all loans reported against column (3) of block 15.1 will be listed in this block under 'non-institutional agencies', followed by loans reported against columns (6) and (9) respectively.  A continuous serial number will be given in col. (1) for all loans (institutional and non-institutional), particulars of which will be collected in block 15.2.  The last serial number will be equal to the total of entries made in block 15.1 against columns (2), (3), (5), (6), (8) and (9).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V552" name="B15_2_q2" files="F18" intrvl="discrete">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        Month
      </labl>
      <qstn>
        <qstnLit>
          In which month was the loan taken?
        </qstnLit>
        <ivuInstr><![CDATA[The month and year of borrowing will be recorded in cols. (2) and (3) respectively.  It may be noted that month will be recorded in two digits, e.g. January will be recorded as 01, February - 02, March - 03 ........, December - 12.  Year will also be recorded in two digits, i.e. year 1985 will be recorded as '85' only.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        96956
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          9756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          9208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          10024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          11085
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          10592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Jun
        </labl>
        <catStat type="freq">
          10302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Jul
        </labl>
        <catStat type="freq">
          8609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          7969
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          4533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          5604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          4482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          4792
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V553" name="B15_2_q3" files="F18" intrvl="discrete">
      <location StartPos="52" EndPos="55" width="4" RecSegNo="1"/>
      <labl>
        Year
      </labl>
      <qstn>
        <qstnLit>
          In which year was the loan taken?
        </qstnLit>
        <ivuInstr><![CDATA[The month and year of borrowing will be recorded in cols. (2) and (3) respectively.  It may be noted that month will be recorded in two digits, e.g. January will be recorded as 01, February - 02, March - 03 ........, December - 12.  Year will also be recorded in two digits, i.e. year 1985 will be recorded as '85' only.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V554" name="B15_2_q4" files="F18" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Period of loan
      </labl>
      <qstn>
        <qstnLit>
          When was the loan taken?
        </qstnLit>
        <ivuInstr>
          For each loan, the period of loan will be recorded in col. (4) in terms of codes.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          loan remained unpaid on 30.06.2002
        </labl>
        <catStat type="freq">
          53833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          loan taken during 01.07.2002 to 30.09.2002
        </labl>
        <catStat type="freq">
          12463
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          loan taken during 01.10.2002 to 31.12.2002
        </labl>
        <catStat type="freq">
          9837
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl><![CDATA[loan taken during 01.01.2003  to date of survey]]></labl>
        <catStat type="freq">
          21148
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V555" name="B15_2_q5" files="F18" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="63" width="7" RecSegNo="1"/>
      <labl>
        Amount borrowed (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount was originally borrowed?
        </qstnLit>
        <ivuInstr><![CDATA[For each loan, the amount originally borrowed will be recorded in rupees (whole number) in col. (5).  Sometimes, a second loan is taken from the same source before the first loan is fully repaid and the unpaid amount of the first loan is included in the amount of second loan.  The borrower receives the sanctioned amount minus the unpaid amount of the first loan.  Again, the lender may deduct the first installment of interest before paying the amount to the borrower.  In all such cases, the amount contracted will be the amount originally borrowed, even if the amount received by the borrower is less.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="50" max="9500000"/>
      </valrng>
      <sumStat type="vald">
        97257
      </sumStat>
      <sumStat type="invd">
        24
      </sumStat>
      <sumStat type="min">
        50
      </sumStat>
      <sumStat type="max">
        9500000
      </sumStat>
      <sumStat type="mean">
        29506.072
      </sumStat>
      <sumStat type="stdev">
        98955.941
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V556" name="B15_2_q6" files="F18" intrvl="discrete">
      <location StartPos="64" EndPos="65" width="2" RecSegNo="1"/>
      <labl>
        Credit agency
      </labl>
      <qstn>
        <qstnLit>
          From which agency loan has been taken?
        </qstnLit>
        <ivuInstr>
          The agency from which the loan has been taken will be recorded in col. (6) in code number.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        97251
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          government
        </labl>
        <catStat type="freq">
          3223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          cooperative society/bank
        </labl>
        <catStat type="freq">
          16960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          commercial bank including regional rural banks
        </labl>
        <catStat type="freq">
          15391
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          insurance
        </labl>
        <catStat type="freq">
          389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          provident fund
        </labl>
        <catStat type="freq">
          1354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          financial Corporation/institution
        </labl>
        <catStat type="freq">
          822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          financial company
        </labl>
        <catStat type="freq">
          503
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          other institutional agencies
        </labl>
        <catStat type="freq">
          1280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          landlord
        </labl>
        <catStat type="freq">
          791
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          agriculturist money lender
        </labl>
        <catStat type="freq">
          6107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          professional money lender
        </labl>
        <catStat type="freq">
          24303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          trader
        </labl>
        <catStat type="freq">
          3707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          relatives and friends
        </labl>
        <catStat type="freq">
          18940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          doctors, lawyers and other professionals
        </labl>
        <catStat type="freq">
          374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          3107
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V557" name="B15_2_q7" files="F18" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        Scheme of lending
      </labl>
      <qstn>
        <qstnLit>
          Sometimes institutional agencies advance loans under various programmes or schemes for development of particular community, area, industry etc. Under which scheme loans are borrowed?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes institutional agencies advance loans under various programmes or schemes for development of particular community, area, industry etc.  The scheme under which loans are borrowed will be ascertained and will be filled in col. (7) in terms of code.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        97269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Differential Rates of Interest (DRI)
        </labl>
        <catStat type="freq">
          1428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Prime Ministers Rozgar Yojana.(PMRY)
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Swarnajayanti Gramin Swarojgar Yojana.(SGSY)
        </labl>
        <catStat type="freq">
          1335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Swarna Jayanti Sahari Rozgar Yojana.(SJSRY)
        </labl>
        <catStat type="freq">
          333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Advances to minority communities
        </labl>
        <catStat type="freq">
          257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Scheme for liberalization and rehabilitation of scavengers
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          exclusive state schemes
        </labl>
        <catStat type="freq">
          2819
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          other schemes
        </labl>
        <catStat type="freq">
          32894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          not covered under any scheme
        </labl>
        <catStat type="freq">
          57347
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V558" name="B15_2_q8" files="F18" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        Type of loan
      </labl>
      <qstn>
        <qstnLit>
          What is the type of loan? For how much duration loan has been given?
        </qstnLit>
        <ivuInstr><![CDATA[The loans are generally given for a specific period.  Short-term loans are advanced for a period up to 12 months, medium-term for a period ranging from 1 to 3 years and long-term loan for a period exceeding 3 years.  Short term loans are sometimes given against the pledge of commodities or without any pledge.  So the relevant category of loans has to be ascertained and the corresponding code is to be given in col. (8).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        97185
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          short term pledged
        </labl>
        <catStat type="freq">
          11942
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          short term non-pledged
        </labl>
        <catStat type="freq">
          26787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          medium term
        </labl>
        <catStat type="freq">
          31327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          long term
        </labl>
        <catStat type="freq">
          27129
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V559" name="B15_2_q9" files="F18" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Nature of interest
      </labl>
      <qstn>
        <qstnLit>
          What is the nature of interest on loan?
        </qstnLit>
        <ivuInstr>
          The nature of interest expressed in terms of codes will be recorded in col. (9) for each loan.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        97269
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          interest free
        </labl>
        <catStat type="freq">
          23875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl><![CDATA[simple  ]]></labl>
        <catStat type="freq">
          56933
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl><![CDATA[compound  ]]></labl>
        <catStat type="freq">
          14619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          concessional rate
        </labl>
        <catStat type="freq">
          1842
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V560" name="B15_2_q10" files="F18" dcml="2" intrvl="contin">
      <location StartPos="69" EndPos="74" width="6" RecSegNo="1"/>
      <labl>
        Rate of interest (0.00)
      </labl>
      <qstn>
        <qstnLit>
          What is the rate of interest on loan?
        </qstnLit>
        <ivuInstr>
          The rate of interest per 100 rupee per annum actually charged by the lender will be recorded against col. (10) in two decimal places of rupee.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="300"/>
      </valrng>
      <sumStat type="vald">
        94420
      </sumStat>
      <sumStat type="invd">
        2861
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        300
      </sumStat>
      <sumStat type="mean">
        20.089
      </sumStat>
      <sumStat type="stdev">
        22.11
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V561" name="B15_2_q11" files="F18" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Purpose of loan
      </labl>
      <qstn>
        <qstnLit>
          What is the purpose of loan?
        </qstnLit>
        <ivuInstr><![CDATA[The purpose for which the loan is incurred will be recorded in code number against this item.  The purpose of loan is defined as the occasion which prompted the households to contract the loan.  Even if the loan is utilised for a purpose other than that for which it is borrowed, the original purpose of borrowing will only be recorded here.  If more than one purpose are involved, the purpose for which the maximum amount of loan has been originally decided to be spent will be noted.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        97178
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Capital expenditure in farm business
        </labl>
        <catStat type="freq">
          10114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Current expenditure in farm business
        </labl>
        <catStat type="freq">
          10601
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Capital expenditure in non-farm business
        </labl>
        <catStat type="freq">
          7046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Current expenditure in non-farm business
        </labl>
        <catStat type="freq">
          4007
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Household expenditure
        </labl>
        <catStat type="freq">
          54224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          expenditure on litigation
        </labl>
        <catStat type="freq">
          250
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          repayment of debt
        </labl>
        <catStat type="freq">
          1522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Financial investment expenditure
        </labl>
        <catStat type="freq">
          509
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          8905
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V562" name="B15_2_q12" files="F18" intrvl="discrete">
      <location StartPos="76" EndPos="77" width="2" RecSegNo="1"/>
      <labl>
        Type of security
      </labl>
      <qstn>
        <qstnLit>
          What type of security has been given for getting loan?
        </qstnLit>
        <ivuInstr><![CDATA[The type of security may be different for different types of loans.  The codes for various types of securities to be filled in col. (12) are:  
personal security .......................................................................…….	01	
surety security or guarantee by third party    .............................……	02	
crop .......................................................................................……….	03	
first charge on immovable property…………………………………	04	
mortgage of immovable property.................................................…...	05	
bullion/ornaments  ............................................................………….	06	
share of companies, govt. securities and insurance policies ...……...	07	
agricultural commodities..............................................................…..	08	
movable property other than bullion, ornaments, share and agricultural commodities................................................……………	 09	
other types of security .................................................................…...	10	


The first charge on immovable property is defined as the charge on the immovable property created by the first mortgage when there are more than one mortgage for the same immovable property.  In such cases, the liability of any mortgage cannot be cleared unless the liabilities of all the previous mortgages are cleared.  If the loan is taken without any security, code '01' may be recorded in col. (12).  In case, more than one security are reported against a loan, the code which appears first in the code list will be recorded.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        97127
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          personal security
        </labl>
        <catStat type="freq">
          65046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          surety security or guarantee by third party
        </labl>
        <catStat type="freq">
          6128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          crop
        </labl>
        <catStat type="freq">
          1468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          first charge on immovable property
        </labl>
        <catStat type="freq">
          6227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          mortgage of immovable property
        </labl>
        <catStat type="freq">
          9641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          bullion/ornaments
        </labl>
        <catStat type="freq">
          4281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          share of companies, govt. securities and insurance policies
        </labl>
        <catStat type="freq">
          471
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          agricultural commodities
        </labl>
        <catStat type="freq">
          203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          movable property other than bullion, ornaments, share and agricultural commodities
        </labl>
        <catStat type="freq">
          576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          other types of security
        </labl>
        <catStat type="freq">
          3086
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V563" name="B15_2_q13" files="F18" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        Type of mortgage
      </labl>
      <qstn>
        <qstnLit>
          What type of mortgage has been given for getting loan?
        </qstnLit>
        <ivuInstr><![CDATA[This column will be filled in for all loans entered in block 15.2.  In the case of a loan secured by mortgage of immovable property, i.e. if the entry in col. (12) is '05', one of the codes 01 to 04 representing different types of mortgage will be entered in col. (13).  If the loan is received without mortgaging any immovable property, code '5' should be recorded in col. (13).  The mortgage may be of the following types:
simple mortgage:  In simple mortgage, the mortgager (i.e. the person who mortgages the property) retains the ownership and possession of the property mortgaged.  Code '01' will be entered for simple mortgage.
usufructuary mortgage: In usufructuary mortgage, the ownership of the property remains with the mortgager but the possession vests on the mortgagee (i.e. the person to whom the mortgage is made or given).  Income from the property accrues to the mortgagee and the mortgage is terminated as soon as the full amount is realised.  Code '02' would be given for this type of mortgage.
 mortgage by conditional sale:  It is the type of mortgage by the execution of which the ownership and possession of the property vests with the mortgagee and a sale deed is executed.  The property is returnable to the mortgager only on termination of the mortgage (i.e. on the full recovery of loan).  Code '03' will be given for this mortgage.
other type of mortgage:  Any type of mortgage different from the above or any combination of those will be recorded under this category.  Code '04' will be given to this type of mortgage.
no mortgage:  Loans for which no mortgage is necessary will be recorded under this category, code '05' will be given for no mortgage in col. (13).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        97127
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          simple mortgage
        </labl>
        <catStat type="freq">
          11046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          usufructuary mortgage
        </labl>
        <catStat type="freq">
          606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          mortgage by conditional sale
        </labl>
        <catStat type="freq">
          2183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          other type of mortgage
        </labl>
        <catStat type="freq">
          1864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          no mortgage
        </labl>
        <catStat type="freq">
          81428
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V564" name="B15_2_q14" files="F18" dcml="0" intrvl="contin">
      <location StartPos="79" EndPos="84" width="6" RecSegNo="1"/>
      <labl>
        Repaid during 01.07.02 to 30.09.02 (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much loan amount was repaid during 01.07.02 to 30.09.02?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="450000"/>
      </valrng>
      <sumStat type="vald">
        19635
      </sumStat>
      <sumStat type="invd">
        77646
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        450000
      </sumStat>
      <sumStat type="mean">
        4076.907
      </sumStat>
      <sumStat type="stdev">
        9468.317
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V565" name="B15_2_q15" files="F18" dcml="0" intrvl="contin">
      <location StartPos="85" EndPos="91" width="7" RecSegNo="1"/>
      <labl>
        Repaid during 01.10.02 to 31.12.02 (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much loan amount was repaid during 01.07.02 to 31.12.02?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1060000"/>
      </valrng>
      <sumStat type="vald">
        23196
      </sumStat>
      <sumStat type="invd">
        74085
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1060000
      </sumStat>
      <sumStat type="mean">
        4240.529
      </sumStat>
      <sumStat type="stdev">
        12835.546
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V566" name="B15_2_q16" files="F18" dcml="0" intrvl="contin">
      <location StartPos="92" EndPos="98" width="7" RecSegNo="1"/>
      <labl>
        Repaid - 01.01.03 to Date Of Survey (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much loan amount was repaid during 01.07.02 to date of survey?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1110000"/>
      </valrng>
      <sumStat type="vald">
        30558
      </sumStat>
      <sumStat type="invd">
        66723
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1110000
      </sumStat>
      <sumStat type="mean">
        5454.13
      </sumStat>
      <sumStat type="stdev">
        15023.083
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V567" name="NSS" files="F18" intrvl="discrete">
      <location StartPos="99" EndPos="100" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V568" name="NSC" files="F18" intrvl="discrete">
      <location StartPos="101" EndPos="103" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V569" name="MLT" files="F18" dcml="2" intrvl="contin">
      <location StartPos="104" EndPos="112" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="271673"/>
      </valrng>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        271673
      </sumStat>
      <sumStat type="mean">
        2443.134
      </sumStat>
      <sumStat type="stdev">
        3959.458
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V572" name="Weight" wgt="wgt" files="F18" dcml="2" intrvl="contin">
      <location StartPos="113" EndPos="119" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="1358.365"/>
      </valrng>
      <sumStat type="vald">
        97281
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        1358.365
      </sumStat>
      <sumStat type="mean">
        12.347
      </sumStat>
      <sumStat type="stdev">
        21.031
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V531" name="HHID" files="F17" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V502" name="CentreCodeRndShift" files="F17" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V503" name="Vill_Blk_Slno" files="F17" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V504" name="Round" files="F17" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          97287
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V505" name="Schedule" files="F17" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          97287
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V506" name="Sample" files="F17" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          97287
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V507" name="Sector" files="F17" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          63890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          33397
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V508" name="State_Region" files="F17" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V532" name="State" files="F17" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          2762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          2049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          4663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          11499
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          4597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          615
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          698
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          1260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          331
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          6966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          2821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1710
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          4412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          3011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          7955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          9624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          4229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          6706
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          10768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          745
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          363
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V509" name="District" files="F17" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V510" name="Stratum" files="F17" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V511" name="SubRound" files="F17" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          49394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          47893
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V512" name="SubSample" files="F17" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          48630
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          48657
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V513" name="FOD_SubRegion" files="F17" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V514" name="HG_SubBlkNo" files="F17" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V515" name="Second_Stratum" files="F17" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V516" name="Visit_no" files="F17" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          97287
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V517" name="Hhold_no" files="F17" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V518" name="Level" files="F17" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          97287
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V519" name="B15_2_q1" files="F17" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Srl. No. of loan
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V520" name="B15_2_q17" files="F17" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="55" width="6" RecSegNo="1"/>
      <labl><![CDATA[Written off -  01.07.02 to 30.09.03 (Rs.)]]></labl>
      <qstn>
        <qstnLit>
          How much loan amount was written off during 01.07.02 to 30.09.03?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes to provide debt relief to farmers and others, the government agencies, banks etc., exempt the households from repaying a loan fully or partly and consider such loans cleared up under its debt relief programme.  If such exemption of debt repayment is granted during the periods mentioned in the column headings of cols.(17) to (19), the total amount (including interest) so written off  will be recorded in the appropriate column, depending upon the date of such exemption.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="125000"/>
      </valrng>
      <sumStat type="vald">
        342
      </sumStat>
      <sumStat type="invd">
        96945
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        125000
      </sumStat>
      <sumStat type="mean">
        8255.249
      </sumStat>
      <sumStat type="stdev">
        17748.1
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V521" name="B15_2_q18" files="F17" dcml="0" intrvl="contin">
      <location StartPos="56" EndPos="61" width="6" RecSegNo="1"/>
      <labl>
        Written off - 01.10.02 to 31.12.03 (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much loan amount was written off during 01.07.02 to 31.12.03 ?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes to provide debt relief to farmers and others, the government agencies, banks etc., exempt the households from repaying a loan fully or partly and consider such loans cleared up under its debt relief programme.  If such exemption of debt repayment is granted during the periods mentioned in the column headings of cols.(17) to (19), the total amount (including interest) so written off  will be recorded in the appropriate column, depending upon the date of such exemption.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="112508"/>
      </valrng>
      <sumStat type="vald">
        291
      </sumStat>
      <sumStat type="invd">
        96996
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        112508
      </sumStat>
      <sumStat type="mean">
        5131.584
      </sumStat>
      <sumStat type="stdev">
        11497.18
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V522" name="B15_2_q19" files="F17" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="67" width="6" RecSegNo="1"/>
      <labl>
        Written off -1.1.03 to Date Of Survey (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much loan amount was written off during 01.07.02 to date of survey?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes to provide debt relief to farmers and others, the government agencies, banks etc., exempt the households from repaying a loan fully or partly and consider such loans cleared up under its debt relief programme.  If such exemption of debt repayment is granted during the periods mentioned in the column headings of cols.(17) to (19), the total amount (including interest) so written off  will be recorded in the appropriate column, depending upon the date of such exemption.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="800000"/>
      </valrng>
      <sumStat type="vald">
        1026
      </sumStat>
      <sumStat type="invd">
        96261
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        800000
      </sumStat>
      <sumStat type="mean">
        7338.118
      </sumStat>
      <sumStat type="stdev">
        29952.966
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V523" name="B15_2_q20" files="F17" dcml="0" intrvl="contin">
      <location StartPos="68" EndPos="74" width="7" RecSegNo="1"/>
      <labl>
        Interest accrued (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much interest amount has accrued on loan?
        </qstnLit>
        <ivuInstr><![CDATA[The information for this column will be collected for the loans having code '1' in col. (4) (period of loan) during the first visit and codes '1' to '5' in col. (4) (period of loan) during the second visit.  Sometimes repayment of loans are made in regular periodic installments (e.g. loan taken under hire purchase schemes), namely in months or in quarters of the year.  In such cases, the interest for the reference period of 1.7.02/1.7.03 to date of survey need to be worked out on the reducing balances of the principal amount.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1050000"/>
      </valrng>
      <sumStat type="vald">
        40018
      </sumStat>
      <sumStat type="invd">
        57269
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1050000
      </sumStat>
      <sumStat type="mean">
        4499.644
      </sumStat>
      <sumStat type="stdev">
        12437.878
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V524" name="B15_2_q21" files="F17" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="81" width="7" RecSegNo="1"/>
      <labl>
        Amount outstanding - Principal (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much principal amount is outstanding?
        </qstnLit>
        <ivuInstr><![CDATA[Corresponding to each of the loans considered in this block, amount outstanding, if any, on the date of survey with break-up by amounts of principal and interest will be ascertained and recorded in cols. (21) to (23).  In case, a loan is fully repaid or written off during the reference period (1.7.02/1.1.03 to date of survey), the corresponding entries against these items will be '0'.  If it is difficult to get 'principal' and 'interest' separately, the total amount outstanding including interest may be recorded under col. (23) for total only.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="9000000"/>
      </valrng>
      <sumStat type="vald">
        94586
      </sumStat>
      <sumStat type="invd">
        2701
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9000000
      </sumStat>
      <sumStat type="mean">
        24005.522
      </sumStat>
      <sumStat type="stdev">
        85732.87
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V525" name="B15_2_q22" files="F17" dcml="0" intrvl="contin">
      <location StartPos="82" EndPos="88" width="7" RecSegNo="1"/>
      <labl>
        Amount outstanding -Interest (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much interest amount is outstanding?
        </qstnLit>
        <ivuInstr><![CDATA[Corresponding to each of the loans considered in this block, amount outstanding, if any, on the date of survey with break-up by amounts of principal and interest will be ascertained and recorded in cols. (21) to (23).  In case, a loan is fully repaid or written off during the reference period (1.7.02/1.1.03 to date of survey), the corresponding entries against these items will be '0'.  If it is difficult to get 'principal' and 'interest' separately, the total amount outstanding including interest may be recorded under col. (23) for total only.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="2728000"/>
      </valrng>
      <sumStat type="vald">
        56578
      </sumStat>
      <sumStat type="invd">
        40709
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2728000
      </sumStat>
      <sumStat type="mean">
        6125.195
      </sumStat>
      <sumStat type="stdev">
        30489.21
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V526" name="B15_2_q23" files="F17" dcml="0" intrvl="contin">
      <location StartPos="89" EndPos="96" width="8" RecSegNo="1"/>
      <labl>
        Amount outstanding - Total (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much total amount is outstanding?
        </qstnLit>
        <ivuInstr><![CDATA[Corresponding to each of the loans considered in this block, amount outstanding, if any, on the date of survey with break-up by amounts of principal and interest will be ascertained and recorded in cols. (21) to (23).  In case, a loan is fully repaid or written off during the reference period (1.7.02/1.1.03 to date of survey), the corresponding entries against these items will be '0'.  If it is difficult to get 'principal' and 'interest' separately, the total amount outstanding including interest may be recorded under col. (23) for total only.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="10050000"/>
      </valrng>
      <sumStat type="vald">
        95597
      </sumStat>
      <sumStat type="invd">
        1690
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10050000
      </sumStat>
      <sumStat type="mean">
        27376.775
      </sumStat>
      <sumStat type="stdev">
        96479.67
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V527" name="B15_2_q24" files="F17" dcml="0" intrvl="contin">
      <location StartPos="97" EndPos="103" width="7" RecSegNo="1"/>
      <labl>
        Amount outstanding as on 30-06-02 (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much total amount is outstanding as on 30-06-02 ?
        </qstnLit>
        <ivuInstr><![CDATA[The total amount outstanding on 30.6.02/30.6.03 col. (24) will be recorded only for those loans which were taken before 30.6.02 for visit 1 and for loans taken prior to 30.6.03 in visit 2, i.e. the loans having code '1' and codes '1' to '5', during visits 1 and 2 respectively.  The formulae for deriving the entries in col. (24) are as follows:

Col.(24) =Col.(14) + Col.(15) + Col.(16) + Col.(17) + 		    
                Col.(18) + Col.(19) + Col.(23) - Col.(20) in visit 1 
                                                  and
Col.(24) = Col.(16) + Col.(19) + Col.(23) - Col.(20) in visit 2.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="9700000"/>
      </valrng>
      <sumStat type="vald">
        53722
      </sumStat>
      <sumStat type="invd">
        43565
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9700000
      </sumStat>
      <sumStat type="mean">
        32847.024
      </sumStat>
      <sumStat type="stdev">
        98378.949
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V528" name="NSS" files="F17" intrvl="discrete">
      <location StartPos="104" EndPos="105" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V529" name="NSC" files="F17" intrvl="discrete">
      <location StartPos="106" EndPos="108" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V530" name="MLT" files="F17" dcml="2" intrvl="contin">
      <location StartPos="109" EndPos="117" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="271673"/>
      </valrng>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        271673
      </sumStat>
      <sumStat type="mean">
        2443.153
      </sumStat>
      <sumStat type="stdev">
        3959.412
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V533" name="Weight" wgt="wgt" files="F17" dcml="2" intrvl="contin">
      <location StartPos="118" EndPos="124" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="1358.365"/>
      </valrng>
      <sumStat type="vald">
        97287
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        1358.365
      </sumStat>
      <sumStat type="mean">
        12.347
      </sumStat>
      <sumStat type="stdev">
        21.031
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V599" name="HHID" files="F19" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V573" name="CentreCodeRndShift" files="F19" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V574" name="Vill_Blk_Slno" files="F19" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V575" name="Round" files="F19" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          19831
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V576" name="Schedule" files="F19" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          19831
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V577" name="Sample" files="F19" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          19831
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V578" name="Sector" files="F19" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          13280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          6551
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V579" name="State_Region" files="F19" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V600" name="State" files="F19" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          588
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          378
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          830
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          1786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          418
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          463
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          4271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          1358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          1585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          760
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V580" name="District" files="F19" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V581" name="Stratum" files="F19" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V582" name="SubRound" files="F19" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          10538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          9293
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V583" name="SubSample" files="F19" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          9781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          10050
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V584" name="FOD_SubRegion" files="F19" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V585" name="HG_SubBlkNo" files="F19" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V586" name="Second_Stratum" files="F19" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V587" name="Visit_no" files="F19" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          19831
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V588" name="Hhold_no" files="F19" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V589" name="Level" files="F19" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          19831
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V590" name="B16_q1" files="F19" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Srl. No. of liability
      </labl>
      <qstn>
        <ivuInstr>
          For all liabilities recorded in this block, a running serial number starting from 1 will be put in col.(1).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V591" name="B16_q2" files="F19" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Nature of liability
      </labl>
      <qstn>
        <qstnLit>
          What is the nature of loans and other liabilities payable by the household?
        </qstnLit>
        <ivuInstr><![CDATA[A liability which is contracted in cash will be considered as 'cash liability', even if the repayment is made or will be made in kind.  Similarly, a liability which is contracted in kind will be considered as 'kind liability', regardless of the mode of repayment which may be in cash or in kind.  The nature of each of the liabilities will be ascertained and recorded in col. (2) in terms of codes: cash-1, kind-2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          cash
        </labl>
        <catStat type="freq">
          11250
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          kind
        </labl>
        <catStat type="freq">
          8581
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V592" name="B16_q3" files="F19" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Period
      </labl>
      <qstn>
        <qstnLit>
          For how long the liability is outstanding?
        </qstnLit>
        <ivuInstr>
          For each liability, the period for which the liability is outstanding will be recorded in term of code in col. (4).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        19826
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          less than 1 month
        </labl>
        <catStat type="freq">
          3389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1 month &amp; above but less than 3 months
        </labl>
        <catStat type="freq">
          6650
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 month &amp; above but less than 6 months
        </labl>
        <catStat type="freq">
          4061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          6 month &amp; above but less than 1 year
        </labl>
        <catStat type="freq">
          2702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          one year &amp; above
        </labl>
        <catStat type="freq">
          3024
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V593" name="B16_q4" files="F19" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        Source
      </labl>
      <qstn>
        <qstnLit>
          What is the source of loan?
        </qstnLit>
        <ivuInstr>
          For each liability, the source of loan will be recorded in term of code in col. (4).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        19818
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          trader
        </labl>
        <catStat type="freq">
          15369
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          relatives &amp; friends
        </labl>
        <catStat type="freq">
          1221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          doctors, lawyers &amp; other professionals
        </labl>
        <catStat type="freq">
          842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          2386
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V594" name="B16_q5" files="F19" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Purpose
      </labl>
      <qstn>
        <qstnLit>
          What is the purpose of loan?
        </qstnLit>
        <ivuInstr>
          For each liability, the purpose for which the liability incurred will be recorded in terms of codes in col. (5).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        19779
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          current expenditure in farm business
        </labl>
        <catStat type="freq">
          1327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          current expenditure in non-farm business
        </labl>
        <catStat type="freq">
          1226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          other household expenditure
        </labl>
        <catStat type="freq">
          16013
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          other expenditure
        </labl>
        <catStat type="freq">
          1213
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V595" name="B16_q6" files="F19" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="60" width="7" RecSegNo="1"/>
      <labl>
        Amount outstanding (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount is outstanding?
        </qstnLit>
        <ivuInstr><![CDATA[For each of the liabilities, the amount outstanding including interest on the date of survey is to be ascertained and recorded in col. (6) in whole number of rupees.  In case of kind loans, the amount of the liability will be evaluated at the current market price prevailing in the locality on the date of survey.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="1" max="1500000"/>
      </valrng>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1500000
      </sumStat>
      <sumStat type="mean">
        3617.071
      </sumStat>
      <sumStat type="stdev">
        19968.966
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V596" name="NSS" files="F19" intrvl="discrete">
      <location StartPos="61" EndPos="62" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V597" name="NSC" files="F19" intrvl="discrete">
      <location StartPos="63" EndPos="65" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V598" name="MLT" files="F19" dcml="2" intrvl="contin">
      <location StartPos="66" EndPos="74" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.89" max="217338.4"/>
      </valrng>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.89
      </sumStat>
      <sumStat type="max">
        217338.4
      </sumStat>
      <sumStat type="mean">
        2644.278
      </sumStat>
      <sumStat type="stdev">
        3950.502
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V601" name="Weight" wgt="wgt" files="F19" dcml="2" intrvl="contin">
      <location StartPos="75" EndPos="81" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02945" max="1086.692"/>
      </valrng>
      <sumStat type="vald">
        19831
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0294
      </sumStat>
      <sumStat type="max">
        1086.692
      </sumStat>
      <sumStat type="mean">
        13.355
      </sumStat>
      <sumStat type="stdev">
        20.845
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V316" name="HHID" files="F10" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V293" name="CentreCodeRndShift" files="F10" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V294" name="Vill_Blk_Slno" files="F10" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V295" name="Round" files="F10" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          4941783
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V296" name="Schedule" files="F10" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          4941783
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V297" name="Sample" files="F10" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          4941783
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V298" name="Sector" files="F10" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          3148523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          1793260
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V299" name="State_Region" files="F10" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V317" name="State" files="F10" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          81144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          81863
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          137699
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          17567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          40910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          92006
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          90811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          233292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          574288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          283228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          42204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          35689
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          26917
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          88421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          52697
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          69746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          61916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          164984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          382662
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          118464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          147999
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          90156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          228948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          159166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          7838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          11760
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          403063
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          327558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          219083
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          13720
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          7839
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          210766
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          393176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          23450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          20753
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V300" name="District" files="F10" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V301" name="Stratum" files="F10" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V302" name="SubRound" files="F10" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2454287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          2487496
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V303" name="SubSample" files="F10" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          2466958
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          2474825
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V304" name="FOD_SubRegion" files="F10" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V305" name="HG_SubBlkNo" files="F10" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V306" name="Second_Stratum" files="F10" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V307" name="Visit_no" files="F10" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          4941783
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V308" name="Hhold_no" files="F10" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V309" name="Level" files="F10" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          4941783
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V310" name="B17_1_q1" files="F10" intrvl="discrete">
      <location StartPos="48" EndPos="50" width="3" RecSegNo="1"/>
      <labl>
        Item code
      </labl>
      <qstn>
        <ivuInstr>
          The codes and description of the items on which information is to be collected in cols.(3) and (4) have been specified in cols.(1) and (2) respectively.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          residential_purchase of plots
        </labl>
        <catStat type="freq">
          141674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          residential_improvement of plots
        </labl>
        <catStat type="freq">
          141682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl><![CDATA[residential_purchase of houses, buildings or other  residential constructions]]></labl>
        <catStat type="freq">
          141686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          residential_construction of houses, buildings or other residential constructions
        </labl>
        <catStat type="freq">
          141673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl><![CDATA[residential_addition/ major rep. & alter./ improv./normal repair of  houses, buildings or other constructions]]></labl>
        <catStat type="freq">
          141656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          farm business_purchase of land
        </labl>
        <catStat type="freq">
          141165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          farm business_purchase of land rights
        </labl>
        <catStat type="freq">
          141177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          farm business_bunds and other land improvement works
        </labl>
        <catStat type="freq">
          141188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          farm business_reclamation of land
        </labl>
        <catStat type="freq">
          141184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          farm business_orchard &amp; plantations
        </labl>
        <catStat type="freq">
          141188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          farm business_purchase of farm houses, barns &amp; animals sheds
        </labl>
        <catStat type="freq">
          141123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          farm business_construction of farm houses, barns &amp; animals sheds
        </labl>
        <catStat type="freq">
          141161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl><![CDATA[farm business_addition/ major rep. & alter./ improv./normal repair of  farm houses, barns & animals sheds]]></labl>
        <catStat type="freq">
          141191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          farm business_wells
        </labl>
        <catStat type="freq">
          141176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          farm business_other irrigation resources
        </labl>
        <catStat type="freq">
          141186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          farm business_other constructions in the farm business
        </labl>
        <catStat type="freq">
          141185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          farm business_livestock used as fixed asset
        </labl>
        <catStat type="freq">
          141184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          farm business_purchase of agricultural machinery &amp; implements
        </labl>
        <catStat type="freq">
          141082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          farm business_addition/ major rep. &amp; alter./ improv./normal repair of agricultural machinery &amp; implements
        </labl>
        <catStat type="freq">
          141183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          farm business_purchase of transport equipments
        </labl>
        <catStat type="freq">
          141117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          farm business_addition/ major rep. &amp; alter./ improv./normal repair of transport equipments
        </labl>
        <catStat type="freq">
          141188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          farm business_furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          141184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          farm business_other expenditure on farm business
        </labl>
        <catStat type="freq">
          141128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          non-farm business_purchase of land
        </labl>
        <catStat type="freq">
          140940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          non-farm business_improvement of land
        </labl>
        <catStat type="freq">
          141051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          non-farm business_purchase of workshop, shop
        </labl>
        <catStat type="freq">
          141048
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl><![CDATA[non-farm business_construction of  workshop, shop]]></labl>
        <catStat type="freq">
          141040
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl><![CDATA[non-farm business_addition/ major rep. & alter./ improv./normal repair of  workshop, shop]]></labl>
        <catStat type="freq">
          141065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          non-farm business_other constructions in the non-farm business
        </labl>
        <catStat type="freq">
          141015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          non-farm business_purchase of non-farm business equipment &amp; accessories
        </labl>
        <catStat type="freq">
          141025
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          non-farm business_addition/ major rep. &amp; alter./ improv./normal repair of non-farm business equip. &amp; accessories
        </labl>
        <catStat type="freq">
          141053
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          non-farm business_purchase of transport equipment
        </labl>
        <catStat type="freq">
          141017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl><![CDATA[non-farm business_addition/ major rep. & alter./ improv./normal repair  of  transport equipments]]></labl>
        <catStat type="freq">
          141068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          non-farm business_fumiture &amp; fixtures
        </labl>
        <catStat type="freq">
          141057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          non-farm business_other expenditure on non- farm business
        </labl>
        <catStat type="freq">
          141043
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V311" name="B17_1_q3" files="F10" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Expenditure for purchase etc.
      </labl>
      <qstn>
        <qstnLit>
          Whether any expenditure has been made by the household during the reference period for purchase of item?
        </qstnLit>
        <ivuInstr><![CDATA[For each of the items noted in cols.(1) and (2) of block 17.1, it is to be ascertained as to whether any expenditure has been made by the household during the reference period for purchase, construction, additions, major repairs & alterations, improvements .  If the response is in the affirmative, code '1' will be recorded against the appropriate item in col. (3); otherwise code '2' will be entered.  Again, it is to be ascertained for most of the items mentioned in cols.(1) and (2) as to whether any expenditure on normal repairs and maintenance has been made by the household during the reference period and the appropriate entries will be made in col.(4) in terms of codes : yes - 1; no - 2.  The reference period in question is 1.7.02 to 31.12.02 for the first visit and 1.1.03 to 30.6.03 for the second visit.  The question of normal repairs & maintenance does not arise for some of the items listed in cols.(1) and (2) of this block. Hence, a crossmark(x) has been printed in col.(4) against such items indicating that no information need be collected on normal repairs and maintenance against those items.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        4941758
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          14864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          4926894
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V312" name="B17_1_q4" files="F10" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        Normal repairs &amp; maintenance
      </labl>
      <qstn>
        <qstnLit>
          Whether any expenditure has been made by the household during the reference period for construction, additions, major repairs &amp; alterations, improvements of item?
        </qstnLit>
        <ivuInstr><![CDATA[For each of the items noted in cols.(1) and (2) of block 17.1, it is to be ascertained as to whether any expenditure has been made by the household during the reference period for purchase, construction, additions, major repairs & alterations, improvements .  If the response is in the affirmative, code '1' will be recorded against the appropriate item in col. (3); otherwise code '2' will be entered.  Again, it is to be ascertained for most of the items mentioned in cols.(1) and (2) as to whether any expenditure on normal repairs and maintenance has been made by the household during the reference period and the appropriate entries will be made in col.(4) in terms of codes : yes - 1; no - 2.  The reference period in question is 1.7.02 to 31.12.02 for the first visit and 1.1.03 to 30.6.03 for the second visit.  The question of normal repairs & maintenance does not arise for some of the items listed in cols.(1) and (2) of this block. Hence, a crossmark(x) has been printed in col.(4) against such items indicating that no information need be collected on normal repairs and maintenance against those items.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        2538013
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          45914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          2492099
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V313" name="NSS" files="F10" intrvl="discrete">
      <location StartPos="53" EndPos="54" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V314" name="NSC" files="F10" intrvl="discrete">
      <location StartPos="55" EndPos="57" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V315" name="MLT" files="F10" dcml="2" intrvl="contin">
      <location StartPos="58" EndPos="66" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="421093.16"/>
      </valrng>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        421093.16
      </sumStat>
      <sumStat type="mean">
        2839.386
      </sumStat>
      <sumStat type="stdev">
        4779.513
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V318" name="Weight" wgt="wgt" files="F10" dcml="2" intrvl="contin">
      <location StartPos="67" EndPos="73" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="2105.4658"/>
      </valrng>
      <sumStat type="vald">
        4941783
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        2105.466
      </sumStat>
      <sumStat type="mean">
        14.295
      </sumStat>
      <sumStat type="stdev">
        24.753
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V633" name="HHID" files="F20" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V602" name="CentreCodeRndShift" files="F20" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V603" name="Vill_Blk_Slno" files="F20" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V604" name="Round" files="F20" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          59996
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V605" name="Schedule" files="F20" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          59996
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V606" name="Sample" files="F20" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          59996
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V607" name="Sector" files="F20" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          43405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          16591
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V608" name="State_Region" files="F20" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V634" name="State" files="F20" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1823
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1721
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          2234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          2473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          9075
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          2939
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          883
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          1755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          4211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1053
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          2089
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1840
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          5045
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          2334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          3837
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          3146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          2509
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          1984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          3648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V609" name="District" files="F20" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V610" name="Stratum" files="F20" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V611" name="SubRound" files="F20" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          30450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          29546
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V612" name="SubSample" files="F20" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          30047
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          29949
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V613" name="FOD_SubRegion" files="F20" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V614" name="HG_SubBlkNo" files="F20" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V615" name="Second_Stratum" files="F20" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V616" name="Visit_no" files="F20" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          59996
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V617" name="Hhold_no" files="F20" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V618" name="Level" files="F20" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          59996
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V619" name="B17_2_q1" files="F20" intrvl="discrete">
      <location StartPos="48" EndPos="50" width="3" RecSegNo="1"/>
      <labl>
        Item code
      </labl>
      <qstn>
        <ivuInstr>
          All those items having code '1' in either or both of the cols.(3) and (4) in block 17.1 i.e. the items on which the household incurred capital expenditure during the reference period, will be copied in cols.(1) and (2) of this block.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          residential_purchase of plots
        </labl>
        <catStat type="freq">
          254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          residential_improvement of plots
        </labl>
        <catStat type="freq">
          179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl><![CDATA[residential_purchase of houses, buildings or other  residential constructions]]></labl>
        <catStat type="freq">
          282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          residential_construction of houses, buildings or other residential constructions
        </labl>
        <catStat type="freq">
          1798
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl><![CDATA[residential_addition/ major rep. & alter./ improv./normal repair of  houses, buildings or other constructions]]></labl>
        <catStat type="freq">
          20698
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          farm business_purchase of land
        </labl>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          farm business_purchase of land rights
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          farm business_bunds and other land improvement works
        </labl>
        <catStat type="freq">
          973
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          farm business_reclamation of land
        </labl>
        <catStat type="freq">
          299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          farm business_orchard &amp; plantations
        </labl>
        <catStat type="freq">
          634
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          farm business_purchase of farm houses, barns &amp; animals sheds
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          farm business_construction of farm houses, barns &amp; animals sheds
        </labl>
        <catStat type="freq">
          190
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl><![CDATA[farm business_addition/ major rep. & alter./ improv./normal repair of  farm houses, barns & animals sheds]]></labl>
        <catStat type="freq">
          1134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          farm business_wells
        </labl>
        <catStat type="freq">
          397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          farm business_other irrigation resources
        </labl>
        <catStat type="freq">
          543
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          farm business_other constructions in the farm business
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          farm business_livestock used as fixed asset
        </labl>
        <catStat type="freq">
          3257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          farm business_purchase of agricultural machinery &amp; implements
        </labl>
        <catStat type="freq">
          1817
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          farm business_addition/ major rep. &amp; alter./ improv./normal repair of agricultural machinery &amp; implements
        </labl>
        <catStat type="freq">
          8406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          farm business_purchase of transport equipments
        </labl>
        <catStat type="freq">
          117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          farm business_addition/ major rep. &amp; alter./ improv./normal repair of transport equipments
        </labl>
        <catStat type="freq">
          3398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          farm business_furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          farm business_other expenditure on farm business
        </labl>
        <catStat type="freq">
          469
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          non-farm business_purchase of land
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          non-farm business_improvement of land
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          non-farm business_purchase of workshop, shop
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl><![CDATA[non-farm business_construction of  workshop, shop]]></labl>
        <catStat type="freq">
          138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl><![CDATA[non-farm business_addition/ major rep. & alter./ improv./normal repair of  workshop, shop]]></labl>
        <catStat type="freq">
          843
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          non-farm business_other constructions in the non-farm business
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          non-farm business_purchase of non-farm business equipment &amp; accessories
        </labl>
        <catStat type="freq">
          877
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          non-farm business_addition/ major rep. &amp; alter./ improv./normal repair of non-farm business equip. &amp; accessories
        </labl>
        <catStat type="freq">
          3312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          non-farm business_purchase of transport equipment
        </labl>
        <catStat type="freq">
          407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl><![CDATA[non-farm business_addition/ major rep. & alter./ improv./normal repair  of  transport equipments]]></labl>
        <catStat type="freq">
          7885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          non-farm business_fumiture &amp; fixtures
        </labl>
        <catStat type="freq">
          599
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          non-farm business_other expenditure on non- farm business
        </labl>
        <catStat type="freq">
          624
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V620" name="B17_2_q3" files="F20" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Purpose of expenditure
      </labl>
      <qstn>
        <qstnLit>
          What is the purpose of incurring expenditure on specified items by the household ?
        </qstnLit>
        <ivuInstr>
          The purpose (code) for which the expenditure has been incurred will be recorded in col. (4).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        59995
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl><![CDATA[purchase (new)  (incl. purchase of land rights etc.)]]></labl>
        <catStat type="freq">
          6237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          additions (incl. reclamation of land / construction)
        </labl>
        <catStat type="freq">
          3085
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl><![CDATA[major repairs &   alterations (including renewal & replacement) ]]></labl>
        <catStat type="freq">
          3843
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl><![CDATA[improvement (incl. bunding and other land improvements/normal annual  replanting  in case of orchard and plantations) ]]></labl>
        <catStat type="freq">
          1410
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          normal repairs &amp; maintenance
        </labl>
        <catStat type="freq">
          45420
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V621" name="B17_2_q4" files="F20" dcml="0" intrvl="contin">
      <location StartPos="52" EndPos="58" width="7" RecSegNo="1"/>
      <labl>
        Exp.in cash-Purchase of assets etc. (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[How much expenditure was incurred in cash  by the household for the purchase of the asset?]]></qstnLit>
        <ivuInstr><![CDATA[The amount of expenditure incurred in cash will be recorded in cols.(4) and (5) and that in kind in cols. (6) and (7).  The expenditure in kind will be evaluated at the current market price prevailing in the locality or its neighborhood.  If a new physical asset is purchased, the purchase price will be recorded in cols. (4) and/or (6), depending upon whether the expenditure is made in cash or in kind or in both. When some materials are purchased during or before the reference period for own construction (including improvement etc.) normal maintenance of physical asset, the value of the materials used in the construction/maintenance work during the reference period will be recorded in cols. (4) and/or (6), as the case may be.  The  payment made to labour hired during the reference period for construction, improvement etc., and normal maintenance of the physical asset, will be recorded in cols.(5) or (7), depending on whether the payment is made in cash or in kind.  In case the payment is partly in cash and partly in kind, cash part will be shown in col.(5) and the value of kind payment in col.(7).  Payment made to the regular workers engaged by the household for work in farm or non-farm business will not be considered for recording entries here.  But such payment will be considered for recording entry in col. (9) along with the value of labour put by the household members for the enterprise.  Hired labour will include all manual and non-manual work like architect, plumbers etc.  In the case of credit purchase, the value of the materials used during the reference period will be considered, irrespective of whether the payment is made during the reference period or not.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3000000"/>
      </valrng>
      <sumStat type="vald">
        47687
      </sumStat>
      <sumStat type="invd">
        12309
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000000
      </sumStat>
      <sumStat type="mean">
        9667.714
      </sumStat>
      <sumStat type="stdev">
        57304.898
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V622" name="B17_2_q5" files="F20" dcml="0" intrvl="contin">
      <location StartPos="59" EndPos="64" width="6" RecSegNo="1"/>
      <labl>
        Exp.in cash-Payment to hired labour (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[How much expenditure was incurred in cash  by the household for the payment of hired labour?]]></qstnLit>
        <ivuInstr><![CDATA[The amount of expenditure incurred in cash will be recorded in cols.(4) and (5) and that in kind in cols. (6) and (7).  The expenditure in kind will be evaluated at the current market price prevailing in the locality or its neighborhood.  If a new physical asset is purchased, the purchase price will be recorded in cols. (4) and/or (6), depending upon whether the expenditure is made in cash or in kind or in both. When some materials are purchased during or before the reference period for own construction (including improvement etc.) normal maintenance of physical asset, the value of the materials used in the construction/maintenance work during the reference period will be recorded in cols. (4) and/or (6), as the case may be.  The  payment made to labour hired during the reference period for construction, improvement etc., and normal maintenance of the physical asset, will be recorded in cols.(5) or (7), depending on whether the payment is made in cash or in kind.  In case the payment is partly in cash and partly in kind, cash part will be shown in col.(5) and the value of kind payment in col.(7).  Payment made to the regular workers engaged by the household for work in farm or non-farm business will not be considered for recording entries here.  But such payment will be considered for recording entry in col. (9) along with the value of labour put by the household members for the enterprise.  Hired labour will include all manual and non-manual work like architect, plumbers etc.  In the case of credit purchase, the value of the materials used during the reference period will be considered, irrespective of whether the payment is made during the reference period or not.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="425000"/>
      </valrng>
      <sumStat type="vald">
        39772
      </sumStat>
      <sumStat type="invd">
        20224
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        425000
      </sumStat>
      <sumStat type="mean">
        2187.193
      </sumStat>
      <sumStat type="stdev">
        11010.685
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V623" name="B17_2_q6" files="F20" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="70" width="6" RecSegNo="1"/>
      <labl>
        Exp.in kind-Purchase of assets etc. (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much expenditure was incurred in kind by the household for the purchase of the asset?
        </qstnLit>
        <ivuInstr><![CDATA[The amount of expenditure incurred in cash will be recorded in cols.(4) and (5) and that in kind in cols. (6) and (7).  The expenditure in kind will be evaluated at the current market price prevailing in the locality or its neighborhood.  If a new physical asset is purchased, the purchase price will be recorded in cols. (4) and/or (6), depending upon whether the expenditure is made in cash or in kind or in both. When some materials are purchased during or before the reference period for own construction (including improvement etc.) normal maintenance of physical asset, the value of the materials used in the construction/maintenance work during the reference period will be recorded in cols. (4) and/or (6), as the case may be.  The  payment made to labour hired during the reference period for construction, improvement etc., and normal maintenance of the physical asset, will be recorded in cols.(5) or (7), depending on whether the payment is made in cash or in kind.  In case the payment is partly in cash and partly in kind, cash part will be shown in col.(5) and the value of kind payment in col.(7).  Payment made to the regular workers engaged by the household for work in farm or non-farm business will not be considered for recording entries here.  But such payment will be considered for recording entry in col. (9) along with the value of labour put by the household members for the enterprise.  Hired labour will include all manual and non-manual work like architect, plumbers etc.  In the case of credit purchase, the value of the materials used during the reference period will be considered, irrespective of whether the payment is made during the reference period or not.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="600000"/>
      </valrng>
      <sumStat type="vald">
        917
      </sumStat>
      <sumStat type="invd">
        59079
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        600000
      </sumStat>
      <sumStat type="mean">
        4756.088
      </sumStat>
      <sumStat type="stdev">
        30645.691
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V624" name="B17_2_q7" files="F20" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="75" width="5" RecSegNo="1"/>
      <labl>
        Exp.in kind-Payment to hired labour (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much expenditure was incurred in kind by the household for the payment of hired labour?
        </qstnLit>
        <ivuInstr><![CDATA[The amount of expenditure incurred in cash will be recorded in cols.(4) and (5) and that in kind in cols. (6) and (7).  The expenditure in kind will be evaluated at the current market price prevailing in the locality or its neighborhood.  If a new physical asset is purchased, the purchase price will be recorded in cols. (4) and/or (6), depending upon whether the expenditure is made in cash or in kind or in both. When some materials are purchased during or before the reference period for own construction (including improvement etc.) normal maintenance of physical asset, the value of the materials used in the construction/maintenance work during the reference period will be recorded in cols. (4) and/or (6), as the case may be.  The  payment made to labour hired during the reference period for construction, improvement etc., and normal maintenance of the physical asset, will be recorded in cols.(5) or (7), depending on whether the payment is made in cash or in kind.  In case the payment is partly in cash and partly in kind, cash part will be shown in col.(5) and the value of kind payment in col.(7).  Payment made to the regular workers engaged by the household for work in farm or non-farm business will not be considered for recording entries here.  But such payment will be considered for recording entry in col. (9) along with the value of labour put by the household members for the enterprise.  Hired labour will include all manual and non-manual work like architect, plumbers etc.  In the case of credit purchase, the value of the materials used during the reference period will be considered, irrespective of whether the payment is made during the reference period or not.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="80000"/>
      </valrng>
      <sumStat type="vald">
        3705
      </sumStat>
      <sumStat type="invd">
        56291
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        80000
      </sumStat>
      <sumStat type="mean">
        501.373
      </sumStat>
      <sumStat type="stdev">
        2211.62
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V625" name="B17_2_q8" files="F20" dcml="0" intrvl="contin">
      <location StartPos="76" EndPos="81" width="6" RecSegNo="1"/>
      <labl>
        Value-out of home produced stock (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the market value of the home produced assets and materials actually used for the construction, improvement etc., of the asset during the reference period?
        </qstnLit>
        <ivuInstr><![CDATA[The value of the home produced assets and materials actually used for the construction, improvement etc., of the asset during the reference period will be recorded in col. (8).  However, this will not include the value of commodities paid to hired labour as their payment in kind.  Such payment will be considered for making entries in col. (7).  The home-produced asset and materials used for construction, improvement etc., of the listed asset may have been produced during or before the reference period.  Such assets and materials supplied by the household will be evaluated at current market price prevailing in the locality during the reference period.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="150000"/>
      </valrng>
      <sumStat type="vald">
        7114
      </sumStat>
      <sumStat type="invd">
        52882
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        150000
      </sumStat>
      <sumStat type="mean">
        1203.017
      </sumStat>
      <sumStat type="stdev">
        4614.603
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V626" name="B17_2_q9" files="F20" dcml="0" intrvl="contin">
      <location StartPos="82" EndPos="86" width="5" RecSegNo="1"/>
      <labl>
        Value of work done by hhld. memb. (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What is the market value of  labour put by the household members including regular workers engaged in farm or non-farm business, guests etc., in connection with the manual work needed for repairs, construction etc., of bunds, wells or houses or any other items of physical assets in farm or non-farm business during the reference period?]]></qstnLit>
        <ivuInstr><![CDATA[The value of labour put by the household members including regular workers engaged in farm or non-farm business, guests etc., in connection with the manual work needed for repairs, construction etc., of bunds, wells or houses or any other items of physical assets in farm or non-farm business will be recorded in col. (9).  In evaluating such work, the contribution of free labour or exchange labour will be included.  This work will be evaluated using the average wage paid to hired labour for such work.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="80000"/>
      </valrng>
      <sumStat type="vald">
        21362
      </sumStat>
      <sumStat type="invd">
        38634
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        80000
      </sumStat>
      <sumStat type="mean">
        560.425
      </sumStat>
      <sumStat type="stdev">
        2051.746
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V627" name="B17_2_q10" files="F20" dcml="0" intrvl="contin">
      <location StartPos="87" EndPos="93" width="7" RecSegNo="1"/>
      <labl>
        Total (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much total expenditure was incurred in cash or kind by the household on the specified item?
        </qstnLit>
        <ivuInstr>
          Total of cols. (4) to (9) will be recorded in col. (10).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3000000"/>
      </valrng>
      <sumStat type="vald">
        59934
      </sumStat>
      <sumStat type="invd">
        62
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000000
      </sumStat>
      <sumStat type="mean">
        9589.92
      </sumStat>
      <sumStat type="stdev">
        56148.329
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V628" name="B17_2_q11" files="F20" dcml="0" intrvl="contin">
      <location StartPos="94" EndPos="100" width="7" RecSegNo="1"/>
      <labl>
        Amount financed from inst.agency (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Of the total expenditure incurred during the reference period, how much amount has been financed through borrowings from institutional agency?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes expenditure on some items are financed partly or wholly from borrowings.  Of the total expenditure incurred during the reference period, the amount financed from borrowings is to be recorded in cols. (11) and/or (12) depending on whether the lending agency is an institutional or a non-institutional one.  The institutional agencies has already been defined in para 4.15.14.  In the case of credit purchase of an asset or the materials for construction etc. of an asset, the amount outstanding at the end of the reference period will be considered as the amount financed from borrowings.  Again, if at the end of the reference period, some amount remains payable to the hired labour used during the reference period for construction of a physical asset, the amount will be treated as financed from borrowings.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1800000"/>
      </valrng>
      <sumStat type="vald">
        1854
      </sumStat>
      <sumStat type="invd">
        58142
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1800000
      </sumStat>
      <sumStat type="mean">
        83286.321
      </sumStat>
      <sumStat type="stdev">
        149991.103
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V629" name="B17_2_q12" files="F20" dcml="0" intrvl="contin">
      <location StartPos="101" EndPos="107" width="7" RecSegNo="1"/>
      <labl>
        Amount financed from non-inst.ag. (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Of the total expenditure incurred during the reference period, how much amount has been financed through borrowings from non-institutional agency?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes expenditure on some items are financed partly or wholly from borrowings.  Of the total expenditure as defined in para 4.17.6 incurred during the reference period, the amount financed from borrowings is to be recorded in cols. (11) and/or (12) depending on whether the lending agency is an institutional or a non-institutional one.  The institutional agencies has already been defined in para 4.15.14.  In the case of credit purchase of an asset or the materials for construction etc. of an asset, the amount outstanding at the end of the reference period will be considered as the amount financed from borrowings.  Again, if at the end of the reference period, some amount remains payable to the hired labour used during the reference period for construction of a physical asset, the amount will be treated as financed from borrowings.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1100000"/>
      </valrng>
      <sumStat type="vald">
        2267
      </sumStat>
      <sumStat type="invd">
        57729
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1100000
      </sumStat>
      <sumStat type="mean">
        19688.721
      </sumStat>
      <sumStat type="stdev">
        49622.135
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V630" name="NSS" files="F20" intrvl="discrete">
      <location StartPos="108" EndPos="109" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V631" name="NSC" files="F20" intrvl="discrete">
      <location StartPos="110" EndPos="112" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V632" name="MLT" files="F20" dcml="2" intrvl="contin">
      <location StartPos="113" EndPos="121" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="4.5" max="421093.16"/>
      </valrng>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        4.5
      </sumStat>
      <sumStat type="max">
        421093.16
      </sumStat>
      <sumStat type="mean">
        2971.726
      </sumStat>
      <sumStat type="stdev">
        5006.206
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V635" name="Weight" wgt="wgt" files="F20" dcml="2" intrvl="contin">
      <location StartPos="122" EndPos="128" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.0225" max="2105.4658"/>
      </valrng>
      <sumStat type="vald">
        59996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0225
      </sumStat>
      <sumStat type="max">
        2105.466
      </sumStat>
      <sumStat type="mean">
        14.926
      </sumStat>
      <sumStat type="stdev">
        25.37
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V661" name="HHID" files="F21" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V636" name="CentreCodeRndShift" files="F21" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V637" name="Vill_Blk_Slno" files="F21" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V638" name="Round" files="F21" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          17429
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V639" name="Schedule" files="F21" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          17429
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V640" name="Sample" files="F21" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          17429
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V641" name="Sector" files="F21" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          14172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          3257
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V642" name="State_Region" files="F21" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V662" name="State" files="F21" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          722
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          1155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          2232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          1116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          540
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          635
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          1403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          1008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          1042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          493
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          474
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V643" name="District" files="F21" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V644" name="Stratum" files="F21" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V645" name="SubRound" files="F21" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          8232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          9197
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V646" name="SubSample" files="F21" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          8587
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          8842
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V647" name="FOD_SubRegion" files="F21" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V648" name="HG_SubBlkNo" files="F21" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V649" name="Second_Stratum" files="F21" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V650" name="Visit_no" files="F21" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          17429
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V651" name="Hhold_no" files="F21" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V652" name="Level" files="F21" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          17429
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V653" name="B18_q1" files="F21" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Srl. No.
      </labl>
      <qstn>
        <ivuInstr><![CDATA[This block is meant for recording the details of the sale of physical assets and loss of physical assets caused by natural calamities or otherwise during the reference period of 1.7.02 to 31.12.02 and 1.1.03 to 30.6.03 in visit 1 and 2 respectively.  In this block sale of new and old assets will be considered.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          residential plots
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          residential buildings
        </labl>
        <catStat type="freq">
          408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          farm business - land
        </labl>
        <catStat type="freq">
          136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          farm business - bunds and other land improvement works
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[farm business - farm houses, barns, animal shed and  other constructions]]></labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          farm business - wells &amp; other irrigation sources
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          farm business - orchard &amp; plantations
        </labl>
        <catStat type="freq">
          285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          farm business - livestock used as fixed asset
        </labl>
        <catStat type="freq">
          1977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[farm business - agricultural  machinery  and implements]]></labl>
        <catStat type="freq">
          737
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          farm business - transport equipments
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          farm business - furniture and fixtures
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          farm business - other farm business assets
        </labl>
        <catStat type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          non-farm business - land
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          non-farm business - workshop, shop &amp; other constructions
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          non-farm business - non-farm business equipment &amp; accessories
        </labl>
        <catStat type="freq">
          257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          non-farm business - transport equipments
        </labl>
        <catStat type="freq">
          142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          non-farm business - furniture &amp; fixture
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          non-farm business - other non-farm business assets
        </labl>
        <catStat type="freq">
          171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          livestock &amp; poultry kept as inventory
        </labl>
        <catStat type="freq">
          2451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          financial assets
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          transport equipment for household use
        </labl>
        <catStat type="freq">
          261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          bullion/ornaments
        </labl>
        <catStat type="freq">
          321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          household durable goods
        </labl>
        <catStat type="freq">
          1560
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          total ( items 1 to 23 )
        </labl>
        <catStat type="freq">
          7930
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V654" name="B18_q3" files="F21" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="56" width="7" RecSegNo="1"/>
      <labl>
        Amount received from sale (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount was received by the household from the sale of the asset?
        </qstnLit>
        <ivuInstr>
          The term 'sale' here will mean all transfer of assets to others in return for payments received in cash or in kind. The payments received in kind will be evaluated at the current market prices prevailing in the locality during the period under reference. The amount received from sale will be recorded in col. (3) in respect of each category of items sold.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1700000"/>
      </valrng>
      <sumStat type="vald">
        6466
      </sumStat>
      <sumStat type="invd">
        10963
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1700000
      </sumStat>
      <sumStat type="mean">
        14576.146
      </sumStat>
      <sumStat type="stdev">
        71107.428
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V655" name="B18_q4" files="F21" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="62" width="6" RecSegNo="1"/>
      <labl>
        Value of loss by natural calamities (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount of loss was borne by the household from the damage of the asset by natural calamities?
        </qstnLit>
        <ivuInstr><![CDATA[The loss of assets may be caused by natural calamities or on account of other reasons.  The value of the loss which may be total or partial for the item, will be recorded in cols. (4) and/or (5) depending on whether the loss is due to natural calamities or other reasons.  The natural calamities will include flood, rain, fire, cyclone, earthquake etc.  The loss due to other reasons will include cases of accident; theft, eaten by termites etc.  The value of the loss will be estimated as the expenditure required to be incurred to restore it to the same condition as it was prior to the loss. An asset having no use to the household may be discarded during the reference period.  This asset may be in very poor condition and it is not likely to be sold for its intended purpose.  Still it may have some scrap value which will be recorded in col. (6).]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="200000"/>
      </valrng>
      <sumStat type="vald">
        2860
      </sumStat>
      <sumStat type="invd">
        14569
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        200000
      </sumStat>
      <sumStat type="mean">
        4720.945
      </sumStat>
      <sumStat type="stdev">
        11712.294
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V656" name="B18_q5" files="F21" dcml="0" intrvl="contin">
      <location StartPos="63" EndPos="68" width="6" RecSegNo="1"/>
      <labl>
        Value of loss due to other reasons (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount of loss was borne by the household from the damage of the asset due to other reasons?
        </qstnLit>
        <ivuInstr><![CDATA[The loss of assets may be caused by natural calamities or on account of other reasons.  The value of the loss which may be total or partial for the item, will be recorded in cols. (4) and/or (5) depending on whether the loss is due to natural calamities or other reasons.  The natural calamities will include flood, rain, fire, cyclone, earthquake etc.  The loss due to other reasons will include cases of accident; theft, eaten by termites etc.  The value of the loss will be estimated as the expenditure required to be incurred to restore it to the same condition as it was prior to the loss. An asset having no use to the household may be discarded during the reference period.  This asset may be in very poor condition and it is not likely to be sold for its intended purpose.  Still it may have some scrap value which will be recorded in col. (6).]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="800000"/>
      </valrng>
      <sumStat type="vald">
        6732
      </sumStat>
      <sumStat type="invd">
        10697
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        800000
      </sumStat>
      <sumStat type="mean">
        3390.936
      </sumStat>
      <sumStat type="stdev">
        18393.441
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V657" name="B18_q6" files="F21" dcml="0" intrvl="contin">
      <location StartPos="69" EndPos="74" width="6" RecSegNo="1"/>
      <labl>
        Salvage value of discarded assets (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Though the asset has been damaged, still it may have some scrap value. How much is the current scrap value of the asset?
        </qstnLit>
        <ivuInstr><![CDATA[The loss of assets may be caused by natural calamities or on account of other reasons.  The value of the loss which may be total or partial for the item, will be recorded in cols. (4) and/or (5) depending on whether the loss is due to natural calamities or other reasons.  The natural calamities will include flood, rain, fire, cyclone, earthquake etc.  The loss due to other reasons will include cases of accident; theft, eaten by termites etc.  The value of the loss will be estimated as the expenditure required to be incurred to restore it to the same condition as it was prior to the loss. An asset having no use to the household may be discarded during the reference period.  This asset may be in very poor condition and it is not likely to be sold for its intended purpose.  Still it may have some scrap value which will be recorded in col. (6).]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="220000"/>
      </valrng>
      <sumStat type="vald">
        4878
      </sumStat>
      <sumStat type="invd">
        12551
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        220000
      </sumStat>
      <sumStat type="mean">
        1285.615
      </sumStat>
      <sumStat type="stdev">
        7203.759
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V658" name="NSS" files="F21" intrvl="discrete">
      <location StartPos="75" EndPos="76" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V659" name="NSC" files="F21" intrvl="discrete">
      <location StartPos="77" EndPos="79" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V660" name="MLT" files="F21" dcml="2" intrvl="contin">
      <location StartPos="80" EndPos="88" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.89" max="129411.4"/>
      </valrng>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.89
      </sumStat>
      <sumStat type="max">
        129411.4
      </sumStat>
      <sumStat type="mean">
        2793.503
      </sumStat>
      <sumStat type="stdev">
        4034.549
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V663" name="Weight" wgt="wgt" files="F21" dcml="2" intrvl="contin">
      <location StartPos="89" EndPos="94" width="6" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02945" max="749.4358"/>
      </valrng>
      <sumStat type="vald">
        17429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0294
      </sumStat>
      <sumStat type="max">
        749.436
      </sumStat>
      <sumStat type="mean">
        14.076
      </sumStat>
      <sumStat type="stdev">
        21.483
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V692" name="HHID" files="F22" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Primary key to uniquely identify a household
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This is a primary key to uniquely identify a household. This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V664" name="CentreCodeRndShift" files="F22" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V665" name="Vill_Blk_Slno" files="F22" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V666" name="Round" files="F22" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          278078
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V667" name="Schedule" files="F22" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          278078
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V668" name="Sample" files="F22" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          278078
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V669" name="Sector" files="F22" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          179436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          98642
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V670" name="State_Region" files="F22" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V693" name="State" files="F22" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          4608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          4494
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          7624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          5012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          4730
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          12918
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          31988
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          16296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          2322
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          2486
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1790
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          5122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          3770
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          4692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          3542
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          9516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          21964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          6940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          8456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          5158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          12824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          8846
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          22216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          18034
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          12220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          11550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          21454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          1284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          1160
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V671" name="District" files="F22" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V672" name="Stratum" files="F22" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V673" name="SubRound" files="F22" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          138700
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          139378
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V674" name="SubSample" files="F22" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          139126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          138952
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V675" name="FOD_SubRegion" files="F22" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V678" name="Visit_no" files="F22" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          139039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          139039
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V676" name="HG_SubBlkNo" files="F22" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V677" name="Second_Stratum" files="F22" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V679" name="Hhold_no" files="F22" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V680" name="Level" files="F22" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          278078
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V681" name="Informant_Slno" files="F22" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Informant Sl.No.
      </labl>
      <sumStat type="vald">
        278032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V682" name="Resp_Code" files="F22" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Response Code
      </labl>
      <sumStat type="vald">
        278032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The entry against this item has been made after collecting all the required information for all the items in the schedule.  The entry has been in code on the basis of the impression formed by the investigator regarding overall quality of response of the informant and the informant's perception about the schedule.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl><![CDATA[ informant : cooperative and  capable]]></labl>
        <catStat type="freq">
          201166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          informant : cooperative but not capable
        </labl>
        <catStat type="freq">
          67496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          informant : busy
        </labl>
        <catStat type="freq">
          3888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          informant : reluctant
        </labl>
        <catStat type="freq">
          4698
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          781
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V683" name="Survey_Code" files="F22" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The item records whether the originally selected household or a substitute house­hold has been surveyed or no household could be surveyed.  The entries have been made in terms of codes.  

It is to be noted that the survey codes are different for the schedules of visit-1 and visit-2.

(i)  In the schedule  of visit-1, whether the originally selected household or a substitute household has been surveyed will be indicated against this item by recording code '1' if the originally selected household has been surveyed and code '2' if the substitute household has been surveyed.  If neither the originally selected household nor a substitute household could be surveyed, i.e. if the sample household is a casualty, code '3' will be recorded in the first visit.
(ii)   The survey codes for visit-2 are as follows:

household surveyed in the first visit is surveyed in the second visit ..........	1
household surveyed in the first visit is casualty in the second visit  .........	3

In case of a casualty only the blocks 0 to 2, 19 and 20 are to be filled up and on the top of the front page of the schedule  the word 'CASUALTY' will be written in block capitals.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V684" name="Substn_Code" files="F22" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        Substitution Code
      </labl>
      <sumStat type="vald">
        3544
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        If the originally selected household could not be sur­veyed, irrespective of whether a substituted household could be surveyed or not, the reason for the one originally selected becoming a casualty has been recorded against this item in terms of codes.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          informant busy
        </labl>
        <catStat type="freq">
          196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          members away from home
        </labl>
        <catStat type="freq">
          2821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          informant non-cooperative
        </labl>
        <catStat type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          191
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V685" name="No_Partitioned_Hhold_For_Visit2" files="F22" intrvl="discrete">
      <location StartPos="53" EndPos="54" width="2" RecSegNo="1"/>
      <labl>
        No.of partitioned hhlds.(for visit 2)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[This item will be filled-in during visit 2 only. It is generally not expected that a household surveyed in the first visit will be partitioned during the period intervening the two visits. On rare occasions, when it is found to have been partitioned in the second visit, total number of households formed from the parent household due to partition will be entered against this item. In all other cases, a dash (-) will be put against this item. In case, a household of visit 1 is partitioned before visit 2, the partitioned household with the senior most household member of the parent household living in the sample village / block will be surveyed. 

However, for the purpose of this survey, a household will be considered to have been partitioned only when some of the household members, as enumerated in the first visit, are found to have left the parent household and established a separate new household and consequent to this split, land and other assets held by the parent household during the first visit is also found to have been partitioned.

It is essential to keep in mind that the following cases will not be treated as partitioning of a household for the purpose of the survey.
(i)	When a member, after leaving the parent household becomes member of another household already in existence, it will not be treated as a case of partitioning of the parent household.  For example, when a girl goes to her in-laws' household after marriage, it will not be treated as partitioning of the parents' household, even if she is given some land and other assets of the parent household as gift.

(ii)	If some members of a household go away and establish a new household but the possession of land owned by them is retained by the parent household, it will not be treated as partitioning.  For example, if a son of the head of the household goes elsewhere for his studies and the land owned by him remains under the possession of the parent household, it will not be treated to have been partitioned.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        318
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V686" name="Survey_Date" files="F22" intrvl="discrete">
      <location StartPos="55" EndPos="60" width="6" RecSegNo="1"/>
      <labl>
        Date of Survey
      </labl>
      <sumStat type="vald">
        278077
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          010103
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010104
        </catValu>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010203
        </catValu>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010303
        </catValu>
        <catStat type="freq">
          135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010403
        </catValu>
        <catStat type="freq">
          181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010503
        </catValu>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010603
        </catValu>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010703
        </catValu>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010803
        </catValu>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          010903
        </catValu>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          011003
        </catValu>
        <catStat type="freq">
          428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          011103
        </catValu>
        <catStat type="freq">
          220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          011203
        </catValu>
        <catStat type="freq">
          334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          020103
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          020104
        </catValu>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          020203
        </catValu>
        <catStat type="freq">
          109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          020303
        </catValu>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          020403
        </catValu>
        <catStat type="freq">
          217
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          020503
        </catValu>
        <catStat type="freq">
          166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          020603
        </catValu>
        <catStat type="freq">
          166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          020703
        </catValu>
        <catStat type="freq">
          185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          020803
        </catValu>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          020903
        </catValu>
        <catStat type="freq">
          361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          021003
        </catValu>
        <catStat type="freq">
          400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          021103
        </catValu>
        <catStat type="freq">
          290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          021203
        </catValu>
        <catStat type="freq">
          1077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          030103
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          030104
        </catValu>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          030203
        </catValu>
        <catStat type="freq">
          139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          030303
        </catValu>
        <catStat type="freq">
          154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          030403
        </catValu>
        <catStat type="freq">
          350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          030503
        </catValu>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          030603
        </catValu>
        <catStat type="freq">
          191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          030703
        </catValu>
        <catStat type="freq">
          227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          030803
        </catValu>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          030903
        </catValu>
        <catStat type="freq">
          689
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          031003
        </catValu>
        <catStat type="freq">
          676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          031103
        </catValu>
        <catStat type="freq">
          583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          031203
        </catValu>
        <catStat type="freq">
          1617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          040103
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          040104
        </catValu>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          040203
        </catValu>
        <catStat type="freq">
          234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          040303
        </catValu>
        <catStat type="freq">
          275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          040403
        </catValu>
        <catStat type="freq">
          470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          040503
        </catValu>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          040603
        </catValu>
        <catStat type="freq">
          288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          040703
        </catValu>
        <catStat type="freq">
          297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          040803
        </catValu>
        <catStat type="freq">
          271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          040903
        </catValu>
        <catStat type="freq">
          974
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          041003
        </catValu>
        <catStat type="freq">
          423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          041103
        </catValu>
        <catStat type="freq">
          1172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          041203
        </catValu>
        <catStat type="freq">
          1802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          050103
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          050104
        </catValu>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          050203
        </catValu>
        <catStat type="freq">
          329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          050303
        </catValu>
        <catStat type="freq">
          429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          050403
        </catValu>
        <catStat type="freq">
          481
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          050503
        </catValu>
        <catStat type="freq">
          288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          050603
        </catValu>
        <catStat type="freq">
          450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          050703
        </catValu>
        <catStat type="freq">
          262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          050803
        </catValu>
        <catStat type="freq">
          402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          050903
        </catValu>
        <catStat type="freq">
          1104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          051003
        </catValu>
        <catStat type="freq">
          269
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          051103
        </catValu>
        <catStat type="freq">
          1557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          051203
        </catValu>
        <catStat type="freq">
          1723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          060103
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          060104
        </catValu>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          060203
        </catValu>
        <catStat type="freq">
          433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          060303
        </catValu>
        <catStat type="freq">
          534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          060403
        </catValu>
        <catStat type="freq">
          453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          060503
        </catValu>
        <catStat type="freq">
          353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          060603
        </catValu>
        <catStat type="freq">
          608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          060703
        </catValu>
        <catStat type="freq">
          304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          060803
        </catValu>
        <catStat type="freq">
          573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          060903
        </catValu>
        <catStat type="freq">
          792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          061003
        </catValu>
        <catStat type="freq">
          1064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          061103
        </catValu>
        <catStat type="freq">
          1872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          061203
        </catValu>
        <catStat type="freq">
          1251
        </catStat>
      </catgry>
      <catgry>
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        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          6247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <catStat type="freq">
          8498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <catStat type="freq">
          6745
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <catStat type="freq">
          8201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <catStat type="freq">
          3634
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86
        </catValu>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          87
        </catValu>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          88
        </catValu>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <catStat type="freq">
          16399
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <catStat type="freq">
          4336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V689" name="NSS" files="F22" intrvl="discrete">
      <location StartPos="70" EndPos="71" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V690" name="NSC" files="F22" intrvl="discrete">
      <location StartPos="72" EndPos="74" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V691" name="MLT" files="F22" dcml="2" intrvl="contin">
      <location StartPos="75" EndPos="83" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="561457.54"/>
      </valrng>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        561457.54
      </sumStat>
      <sumStat type="mean">
        2906.065
      </sumStat>
      <sumStat type="stdev">
        5119.465
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V694" name="Weight" wgt="wgt" files="F22" dcml="2" intrvl="contin">
      <location StartPos="84" EndPos="90" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="2807.2877"/>
      </valrng>
      <sumStat type="vald">
        278078
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        2807.288
      </sumStat>
      <sumStat type="mean">
        14.63
      </sumStat>
      <sumStat type="stdev">
        26.503
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V729" name="HHID" files="F23" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Primary key to uniquely identify a household
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This is a primary key to uniquely identify a household. This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V695" name="CentreCodeRndShift" files="F23" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V696" name="Vill_Blk_Slno" files="F23" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V697" name="Round" files="F23" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          139041
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V698" name="Schedule" files="F23" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          139041
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V699" name="Sample" files="F23" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          139041
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V700" name="Sector" files="F23" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          89719
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          49322
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V701" name="State_Region" files="F23" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V731" name="State" files="F23" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          2304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          2247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          3812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          1109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          2506
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          6459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          15994
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          8148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          895
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          2561
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1771
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          4758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          10982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          3470
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          4228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          2579
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          6412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          4423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          11109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          9017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          6110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          5776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          10727
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          580
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V702" name="District" files="F23" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V703" name="Stratum" files="F23" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V704" name="SubRound" files="F23" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          69352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          69689
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V705" name="SubSample" files="F23" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          69564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          69477
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V706" name="FOD_SubRegion" files="F23" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V707" name="HG_SubBlkNo" files="F23" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V708" name="Second_Stratum" files="F23" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V709" name="Visit_no" files="F23" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          139039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V710" name="Hhold_no" files="F23" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V711" name="Level" files="F23" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          139041
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1328" name="B3_q1" files="F23" dcml="0" intrvl="contin">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Household size
      </labl>
      <qstn>
        <qstnLit>
          How many members are there in the household?
        </qstnLit>
        <ivuInstr>
          The size of the sample household i.e., the total number of persons normally residing together (i.e., under the same roof) and taking food from the same kitchen (including temporary stayaways and excluding temporary visitors) will be recorded against this item. This number will be same as the last serial number recorded in column 1 of block 4.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A group of persons normally living together and taking food from a common kitchen constitutes a household. The word "normally" means that temporary visitors are excluded but temporary stay-aways are included. Thus a son or daughter residing in a hostel for studies is excluded from the household of his/her parents, but a resident employee or resident domestic servant or paying guest (but not just a tenant in the house) is included in the employer/host's household. "Living together" is usually given more importance than "sharing food from a common kitchen" in drawing the boundaries of a household in case the two criteria are in conflict; however, in the special case of a person taking food with his family but sleeping elsewhere (say in a shop or a different house) due to space shortage, the household formed by such a person's family members is taken to include the person also. Each inmate of a mess, hotel, boarding and lodging house, hostel, etc. is considered as a single-member household except that a family living in a hotel (say) is considered as one household only; the same applies to residential staff of such establishments.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V713" name="B3_q2" files="F23" intrvl="discrete">
      <location StartPos="50" EndPos="54" width="5" RecSegNo="1"/>
      <labl>
        Principal industry(NIC-98) code
      </labl>
      <qstn>
        <ivuInstr>
          The description of the principal household industry will be recorded in the space provided. The entry cell for item 2 has been split for recording each digit separately. The appropriate five-digit industry code of the NIC 1998 will be recorded here. For households deriving income from non-economic activities only, a dash (-) may be put against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        131874
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V714" name="B3_q3" files="F23" intrvl="discrete">
      <location StartPos="55" EndPos="57" width="3" RecSegNo="1"/>
      <labl>
        Principal occupation (NC0-68) code
      </labl>
      <qstn>
        <ivuInstr>
          The description of the principal household occupation will be recorded in the space provided. The appropriate three-digit occupation code of the NCO 1968 is to be recorded in the entry cell which has been trisected for recording each digit separately. For households deriving income from non-economic activities only, a dash (-) may be put against this item.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        131827
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V715" name="B3_q4" files="F23" intrvl="discrete">
      <location StartPos="58" EndPos="58" width="1" RecSegNo="1"/>
      <labl>
        Household type
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The household type code based on the means of livelihood of a household will be decided on the basis of the source of the household's income during the 365 days preceding the date of survey.  For this purpose, only the household's income (net income and not gross income) from economic activities will be considered; but the incomes of servants and paying guests will not be taken into account. For the rural areas, the selected household will be assigned appropriate type code out of the following five different household type codes:

       self-employed in non-agriculture…	1        self-employed in agriculture ....	4
       agricultural labour .....................….	2        others .................................        9
       other labour  ………………………	3

 For urban areas, the household type codes are as follows:

           self-employed - 1,   regular wage/salary earning - 2,   casual labour - 3,   others - 9.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        138900
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V730" name="HH_Type" files="F23" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        Household type with sector
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          self-employed in non-agriculture - rural
        </labl>
        <catStat type="freq">
          13588
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          agricultural labour - rural
        </labl>
        <catStat type="freq">
          21735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[other labour  - rural ]]></labl>
        <catStat type="freq">
          9763
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          self-employed in agriculture - rural
        </labl>
        <catStat type="freq">
          33426
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Others - rural
        </labl>
        <catStat type="freq">
          11105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          self-employed - urban
        </labl>
        <catStat type="freq">
          19181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          regular wage/salary earning - urban
        </labl>
        <catStat type="freq">
          20353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          casual labour - urban
        </labl>
        <catStat type="freq">
          5928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Others - urban
        </labl>
        <catStat type="freq">
          3821
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived by concatenating the variables "sector" and "household type" to enable the users to easily access information on "sector wise household type".
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V716" name="B3_q5" files="F23" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        Religion
      </labl>
      <qstn>
        <qstnLit>
          Which religion does the household belong to?
        </qstnLit>
        <ivuInstr><![CDATA[The religion of the household will be recorded against this item in codes. If different mem­bers of the household claim to belong to different religions, the religion of the head of the household will be considered as the religion of the household. The codes are:
            
                Hinduism  ..........	1                  Jainism  .................	5
                Islam  .................	2                  Buddhism  .............	6
                Christianity  ........	3                  Zoroastrianism ......	7
                Sikhism  ..............	4                  others ....................	9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        139028
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Hinduism
        </labl>
        <catStat type="freq">
          108784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Islam
        </labl>
        <catStat type="freq">
          17016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Christianity
        </labl>
        <catStat type="freq">
          7802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sikhism
        </labl>
        <catStat type="freq">
          2629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Jainism
        </labl>
        <catStat type="freq">
          364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Buddhism
        </labl>
        <catStat type="freq">
          1421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Zoroastrianism
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1006
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V717" name="B3_q6" files="F23" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        Social group
      </labl>
      <qstn>
        <qstnLit>
          Which social group does the household belong to?
        </qstnLit>
        <ivuInstr><![CDATA[Whether or not the household belongs to scheduled tribe, scheduled caste or other backward class will be indicated against this item in terms of the specified codes which are:
           
            scheduled tribe - 1,   scheduled caste - 2,   other backward classes - 3,  others - 9.

Those who do not come under any one of the first three social groups will be assigned code 9 meant to cover all other categories. In case different members belong to different social groups, the group to which the head of the household belongs will be considered as the 'social group' of the household.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        139028
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Scheduled Tribe
        </labl>
        <catStat type="freq">
          15462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Scheduled Caste
        </labl>
        <catStat type="freq">
          25675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Other Backward Class
        </labl>
        <catStat type="freq">
          51554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          46337
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V718" name="B3_q7" files="F23" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        Operated any land for agr. activities?
      </labl>
      <qstn>
        <qstnLit>
          Whether operated any land for agricultural activities during last 365 days?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        139026
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          59584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          79439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V719" name="B3_q8" files="F23" dcml="3" intrvl="contin">
      <location StartPos="64" EndPos="69" width="6" RecSegNo="1"/>
      <labl>
        Area operated by the hhld. (hectares 0.000)
      </labl>
      <qstn>
        <qstnLit>
          Whether operated any land for agricultural activities during last 365 days and if yes, how much area was operated?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="60.1"/>
      </valrng>
      <sumStat type="vald">
        59310
      </sumStat>
      <sumStat type="invd">
        79731
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        60.1
      </sumStat>
      <sumStat type="mean">
        1.016
      </sumStat>
      <sumStat type="stdev">
        1.785
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V720" name="B3_q9" files="F23" intrvl="discrete">
      <location StartPos="70" EndPos="70" width="1" RecSegNo="1"/>
      <labl>
        Member having Kisan credit card?
      </labl>
      <qstn>
        <qstnLit><![CDATA[Whether  any household member has  any  kisan credit card?]]></qstnLit>
      </qstn>
      <sumStat type="vald">
        138958
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Kisan Credit Card Scheme aims at timely and adequate support from banking system to the farmers for their cultivation needs including purchase of inputs in a flexible and cost effective manner.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          2194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          136759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V721" name="B3_q10" files="F23" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="76" width="6" RecSegNo="1"/>
      <labl>
        Amount received (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[Whether  any household member has  any  kisan credit card  and  if  yes, how much amount was received during last 365 days?]]></qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="340000"/>
      </valrng>
      <sumStat type="vald">
        1502
      </sumStat>
      <sumStat type="invd">
        137539
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        340000
      </sumStat>
      <sumStat type="mean">
        21350.228
      </sumStat>
      <sumStat type="stdev">
        30470.898
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V722" name="B3_q11" files="F23" dcml="0" intrvl="contin">
      <location StartPos="77" EndPos="82" width="6" RecSegNo="1"/>
      <labl>
        Consumer exp. out of purchase (Rs.)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The household consumer expenditure during last 30 days is to be ascertained through a direct question under two broad categories namely (1) out of purchases (both of goods and services) and (2) out of  homegrown/ home produced stock, free collection and transfer receipts etc.  These will be recorded in whole number in nearest rupees against items 11 and 12.  The total of items 11 and 12 will be recorded against item 13.  This entry will also be recorded in whole number of rupees.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="250000"/>
      </valrng>
      <sumStat type="vald">
        138296
      </sumStat>
      <sumStat type="invd">
        745
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        250000
      </sumStat>
      <sumStat type="mean">
        2567.683
      </sumStat>
      <sumStat type="stdev">
        2433.789
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V723" name="B3_q12" files="F23" dcml="0" intrvl="contin">
      <location StartPos="83" EndPos="88" width="6" RecSegNo="1"/>
      <labl>
        Cons. Exp. - home-grown stock etc. (Rs.)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The household consumer expenditure during last 30 days is to be ascertained through a direct question under two broad categories namely (1) out of purchases (both of goods and services) and (2) out of  homegrown/ home produced stock, free collection and transfer receipts etc.  These will be recorded in whole number in nearest rupees against items 11 and 12.  The total of items 11 and 12 will be recorded against item 13.  This entry will also be recorded in whole number of rupees.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="492090"/>
      </valrng>
      <sumStat type="vald">
        78235
      </sumStat>
      <sumStat type="invd">
        60806
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        492090
      </sumStat>
      <sumStat type="mean">
        786.051
      </sumStat>
      <sumStat type="stdev">
        2034.458
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V724" name="B3_q13" files="F23" dcml="0" intrvl="contin">
      <location StartPos="89" EndPos="94" width="6" RecSegNo="1"/>
      <labl>
        Total (Rs.)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The household consumer expenditure during last 30 days is to be ascertained through a direct question under two broad categories namely (1) out of purchases (both of goods and services) and (2) out of  homegrown/ home produced stock, free collection and transfer receipts etc.  These will be recorded in whole number in nearest rupees against items 11 and 12.  The total of items 11 and 12 will be recorded against item 13.  This entry will also be recorded in whole number of rupees.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="493334"/>
      </valrng>
      <sumStat type="vald">
        138978
      </sumStat>
      <sumStat type="invd">
        63
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        493334
      </sumStat>
      <sumStat type="mean">
        2997.576
      </sumStat>
      <sumStat type="stdev">
        2870.318
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V725" name="B3_q14" files="F23" dcml="2" intrvl="contin">
      <location StartPos="95" EndPos="102" width="8" RecSegNo="1"/>
      <labl>
        MPCE (Rs. 0.00)
      </labl>
      <qstn>
        <ivuInstr><![CDATA[The figure for this item would be obtained by dividing the entry against item 13 by the entry against item 1 (household size).  This will be recorded in Rupees in two places of decimal.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="98666.8"/>
      </valrng>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        98666.8
      </sumStat>
      <sumStat type="mean">
        655.433
      </sumStat>
      <sumStat type="stdev">
        629.023
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V726" name="NSS" files="F23" intrvl="discrete">
      <location StartPos="103" EndPos="104" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V727" name="NSC" files="F23" intrvl="discrete">
      <location StartPos="105" EndPos="107" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V728" name="MLT" files="F23" dcml="2" intrvl="contin">
      <location StartPos="108" EndPos="116" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="561457.54"/>
      </valrng>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        561457.54
      </sumStat>
      <sumStat type="mean">
        2906.075
      </sumStat>
      <sumStat type="stdev">
        5119.439
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V732" name="Weight" wgt="wgt" files="F23" dcml="2" intrvl="contin">
      <location StartPos="117" EndPos="123" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="2807.2877"/>
      </valrng>
      <sumStat type="vald">
        139041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        2807.288
      </sumStat>
      <sumStat type="mean">
        14.63
      </sumStat>
      <sumStat type="stdev">
        26.503
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V764" name="Person_key" files="F24" intrvl="discrete">
      <location StartPos="1" EndPos="12" width="12" RecSegNo="1"/>
      <labl>
        Primary key to uniquely identify a member in a household
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for uniquely identifying  a person within a household by combining HHID (key to identify a household) and serial number of members.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V763" name="HHID" files="F24" intrvl="discrete">
      <location StartPos="13" EndPos="22" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V733" name="CentreCodeRndShift" files="F24" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V734" name="Vill_Blk_Slno" files="F24" intrvl="discrete">
      <location StartPos="26" EndPos="30" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V735" name="Round" files="F24" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          693133
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V736" name="Schedule" files="F24" intrvl="discrete">
      <location StartPos="33" EndPos="35" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          693133
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V737" name="Sample" files="F24" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          693133
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V738" name="Sector" files="F24" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          450787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          242346
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V739" name="State_Region" files="F24" intrvl="discrete">
      <location StartPos="38" EndPos="40" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V765" name="State" files="F24" intrvl="discrete">
      <location StartPos="41" EndPos="42" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          13083
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          10870
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          19607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          1431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          5608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          13578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          10649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          35750
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          93803
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          46779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          5556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          5785
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          4075
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          13654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          9296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          10261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          8677
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          23935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          51786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          17940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          19859
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          13357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          34727
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          22959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          1017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          1574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          55043
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          36973
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          29423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          1596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          1428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          25994
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          41771
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          2651
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          2638
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V740" name="District" files="F24" intrvl="discrete">
      <location StartPos="43" EndPos="44" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V741" name="Stratum" files="F24" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V742" name="SubRound" files="F24" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          345925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          347208
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V743" name="SubSample" files="F24" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          347730
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          345403
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V744" name="FOD_SubRegion" files="F24" intrvl="discrete">
      <location StartPos="49" EndPos="52" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V745" name="HG_SubBlkNo" files="F24" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V746" name="Second_Stratum" files="F24" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V747" name="Visit_no" files="F24" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          693122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V748" name="Hhold_no" files="F24" intrvl="discrete">
      <location StartPos="56" EndPos="57" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V749" name="Level" files="F24" intrvl="discrete">
      <location StartPos="58" EndPos="59" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          693133
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V750" name="B4_q1" files="F24" intrvl="discrete">
      <location StartPos="60" EndPos="61" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <qstn>
        <ivuInstr>
          All the members of the sample household will be listed in block 4 using a continuous serial number in column (1). In the list, the head of the household will appear first followed by head's spouse, the first son, first son's wife and their children, second son, second son's wife and their children &amp; so on. After the sons are enumerated, the daughters will be listed followed by other relations, dependants, servants, etc.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V751" name="B4_q3" files="F24" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        Relation to head
      </labl>
      <qstn>
        <qstnLit>
          What is your relation to head of the household?
        </qstnLit>
        <ivuInstr>
          The family relationship of each member of the household with the head of the household (for the head, the relationship is 'self') expressed in terms of specified codes will be recorded in this column.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        693121
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Self
        </labl>
        <catStat type="freq">
          139038
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse of head
        </labl>
        <catStat type="freq">
          112688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married child
        </labl>
        <catStat type="freq">
          34763
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Spouse of married child
        </labl>
        <catStat type="freq">
          33559
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Unmarried child
        </labl>
        <catStat type="freq">
          268478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchild
        </labl>
        <catStat type="freq">
          57365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Father/mother/father-in-law/mother-in-law
        </labl>
        <catStat type="freq">
          18273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Brother/sister/brother-in-law/sister-in-law/other relatives
        </labl>
        <catStat type="freq">
          27794
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Servant/employee/or non-relatives
        </labl>
        <catStat type="freq">
          1163
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V752" name="B4_q4" files="F24" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        Sex
      </labl>
      <qstn>
        <qstnLit>
          Sex of the member
        </qstnLit>
        <ivuInstr>
          For each and every member of the household, sex in terms of the code (male-1, female-2) will be recorded in this column. For eunuch, code '1' will be recorded.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        693127
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          356088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          337039
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V753" name="B4_q5" files="F24" dcml="0" intrvl="contin">
      <location StartPos="64" EndPos="65" width="2" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <qstn>
        <qstnLit>
          Age of the member
        </qstnLit>
        <ivuInstr><![CDATA[The age in completed years of all the members listed will be ascertained and recorded in column (5).  For infants below one year of age at the time of listing, '0' will be entered in column (5). Similarly, for persons of age 99 years or more, 99 will be entered in this column.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        693008
      </sumStat>
      <sumStat type="invd">
        125
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        26.156
      </sumStat>
      <sumStat type="stdev">
        18.891
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V754" name="B4_q6" files="F24" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        Marital status
      </labl>
      <qstn>
        <qstnLit>
          Marital status of the member
        </qstnLit>
        <ivuInstr>
          The marital status of each member will be recorded in terms of the specified code in this column.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        693044
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          348252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Currently married
        </labl>
        <catStat type="freq">
          308831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          33370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/separated
        </labl>
        <catStat type="freq">
          2591
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V755" name="B4_q7" files="F24" intrvl="discrete">
      <location StartPos="67" EndPos="68" width="2" RecSegNo="1"/>
      <labl>
        General education
      </labl>
      <qstn>
        <qstnLit>
          Education of the member
        </qstnLit>
        <ivuInstr><![CDATA[Information regarding the level of general education attained by the members of the household listed will be recorded in column (7) in terms of the specified code. For the purpose of making entries in this column, only the course successfully completed will be considered. For instance, for a person who has studied up to say, first year B.A., his/her educational attainment will be considered as higher secondary (code 07).  For a person who has studied up to 12th standard but has not appeared for the final examination or has failed, his/her educational attainment will be considered under 'secondary' (code 06).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        692799
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Not literate
        </labl>
        <catStat type="freq">
          267154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Literate without formal schooling
        </labl>
        <catStat type="freq">
          9936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Literate but below primary
        </labl>
        <catStat type="freq">
          104831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          100512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Middle
        </labl>
        <catStat type="freq">
          98613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          53771
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Higher secondary
        </labl>
        <catStat type="freq">
          27484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Diploma / certificate course
        </labl>
        <catStat type="freq">
          3795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Graduate
        </labl>
        <catStat type="freq">
          20778
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Post graduate and above
        </labl>
        <catStat type="freq">
          5925
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V756" name="B4_q8" files="F24" intrvl="discrete">
      <location StartPos="69" EndPos="70" width="2" RecSegNo="1"/>
      <labl>
        Usual activity-principal status
      </labl>
      <qstn>
        <ivuInstr>
          The appropriate activity status code from the list of the codes is to be reported in here.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        692787
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an own account worker    ]]></labl>
        <catStat type="freq">
          82245
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an employer    ]]></labl>
        <catStat type="freq">
          1926
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as  ‘helper’                                      ]]></labl>
        <catStat type="freq">
          51732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[worked as regular salaried/wage employee     ]]></labl>
        <catStat type="freq">
          44749
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl><![CDATA[worked as casual wage labour in public works                                                            ]]></labl>
        <catStat type="freq">
          1130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl><![CDATA[casual wage labour in other types of works                                                                ]]></labl>
        <catStat type="freq">
          67717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          seeking work and available for work
        </labl>
        <catStat type="freq">
          8188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl><![CDATA[attended educational institution                                                                                  ]]></labl>
        <catStat type="freq">
          179816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl><![CDATA[attended domestic duties only                                                                                    ]]></labl>
        <catStat type="freq">
          97397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl><![CDATA[attended domestic duties and was also engaged in free collection of goods, tailoring, weaving, etc. for household use    ]]></labl>
        <catStat type="freq">
          40621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl><![CDATA[recipients of rent, pension, remittance, etc.                                    ]]></labl>
        <catStat type="freq">
          7726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl><![CDATA[not able to work due to disability                                                                        ]]></labl>
        <catStat type="freq">
          5087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl><![CDATA[beggars, prostitutes, etc.                                                                                        ]]></labl>
        <catStat type="freq">
          249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl><![CDATA[others                                                                                                                    ]]></labl>
        <catStat type="freq">
          103879
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          325
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V757" name="B4_q9" files="F24" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        Usual activity-NIC-98 code
      </labl>
      <qstn>
        <ivuInstr>
          The appropriate activity status code from the list of the codes is to be reported in here.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        249247
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          127011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing
        </labl>
        <catStat type="freq">
          1169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas; service activities incidental to oil and gas extraction, excluding surveying
        </labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          3417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          1988
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          4710
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          3962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness and footwear
        </labl>
        <catStat type="freq">
          620
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials
        </labl>
        <catStat type="freq">
          2546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          351
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reporoduction of recorded media
        </labl>
        <catStat type="freq">
          594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined poetroleum products and nuclear fuel
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          1097
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          1993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          662
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery and equipment
        </labl>
        <catStat type="freq">
          1755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          803
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment and apparatus
        </labl>
        <catStat type="freq">
          139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, watches and clocks
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipmenmt
        </labl>
        <catStat type="freq">
          247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          2876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          14597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          1535
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicles and motorcycles
        </labl>
        <catStat type="freq">
          2923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repair of personal and household goods
        </labl>
        <catStat type="freq">
          23458
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          4155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          9823
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of travel agencies
        </labl>
        <catStat type="freq">
          461
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          1135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension funding
        </labl>
        <catStat type="freq">
          1319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social security
        </labl>
        <catStat type="freq">
          295
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of personal and household goods
        </labl>
        <catStat type="freq">
          378
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          378
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          1417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defence; compulsory social security
        </labl>
        <catStat type="freq">
          8356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          6887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          2138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activities
        </labl>
        <catStat type="freq">
          361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          3404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          3624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organisations and bodies
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V758" name="B4_q10" files="F24" intrvl="discrete">
      <location StartPos="73" EndPos="74" width="2" RecSegNo="1"/>
      <labl>
        Subsidiary status
      </labl>
      <qstn>
        <ivuInstr>
          The appropriate activity status code from the list of the codes is to be reported in here.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        80158
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an own account worker    ]]></labl>
        <catStat type="freq">
          25278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as an employer    ]]></labl>
        <catStat type="freq">
          673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[worked in household enterprise (self   employed) as  ‘helper’                                      ]]></labl>
        <catStat type="freq">
          32513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[worked as regular salaried/wage employee     ]]></labl>
        <catStat type="freq">
          668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl><![CDATA[worked as casual wage labour in public works                                                            ]]></labl>
        <catStat type="freq">
          739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl><![CDATA[casual wage labour in other types of works                                                                ]]></labl>
        <catStat type="freq">
          20285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          invalid
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V759" name="B4_q11" files="F24" intrvl="discrete">
      <location StartPos="75" EndPos="76" width="2" RecSegNo="1"/>
      <labl>
        Subsidiary NIC-98code
      </labl>
      <qstn>
        <ivuInstr>
          The appropriate activity status code from the list of the codes is to be reported in here.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        80066
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          63913
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; service activities incidental to fishing
        </labl>
        <catStat type="freq">
          273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas; service activities incidental to oil and gas extraction, excluding surveying
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          706
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, handbags, saddlery, harness and footwear
        </labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials
        </labl>
        <catStat type="freq">
          582
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reporoduction of recorded media
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined poetroleum products and nuclear fuel
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery and equipment
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment and apparatus
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, watches and clocks
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipmenmt
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          310
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          3587
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycles; retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicles and motorcycles
        </labl>
        <catStat type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repair of personal and household goods
        </labl>
        <catStat type="freq">
          2914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of travel agencies
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension funding
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social security
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of personal and household goods
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defence; compulsory social security
        </labl>
        <catStat type="freq">
          153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          463
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activities
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          363
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organisations and bodies
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V760" name="NSS" files="F24" intrvl="discrete">
      <location StartPos="77" EndPos="78" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V761" name="NSC" files="F24" intrvl="discrete">
      <location StartPos="79" EndPos="81" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V762" name="MLT" files="F24" dcml="2" intrvl="contin">
      <location StartPos="82" EndPos="90" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="561457.54"/>
      </valrng>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        561457.54
      </sumStat>
      <sumStat type="mean">
        2843.844
      </sumStat>
      <sumStat type="stdev">
        4796.347
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V766" name="Weight" wgt="wgt" files="F24" dcml="2" intrvl="contin">
      <location StartPos="91" EndPos="97" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="2807.2877"/>
      </valrng>
      <sumStat type="vald">
        693133
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        2807.288
      </sumStat>
      <sumStat type="mean">
        14.305
      </sumStat>
      <sumStat type="stdev">
        24.714
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V797" name="HHID" files="F25" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V767" name="CentreCodeRndShift" files="F25" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V768" name="Vill_Blk_Slno" files="F25" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V769" name="Round" files="F25" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          360096
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V770" name="Schedule" files="F25" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          360096
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V771" name="Sample" files="F25" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          360096
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V772" name="Sector" files="F25" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          283366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          76730
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V773" name="State_Region" files="F25" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V798" name="State" files="F25" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          7650
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          10592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          8596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          3482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          6454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          20109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          50518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          25537
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          2546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          3388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          2870
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          7140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          4227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          4858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          4307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          11868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          28478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          10471
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          13466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          8219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          19025
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          10713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          24361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          19796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          13496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          514
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          12233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          18726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          956
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          582
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V774" name="District" files="F25" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V775" name="Stratum" files="F25" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V776" name="SubRound" files="F25" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          182400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          177696
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V777" name="SubSample" files="F25" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          180997
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          179099
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V778" name="FOD_SubRegion" files="F25" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V779" name="HG_SubBlkNo" files="F25" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V780" name="Second_Stratum" files="F25" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V781" name="Visit_no" files="F25" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          360088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V782" name="Hhold_no" files="F25" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V783" name="Level" files="F25" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          360096
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V784" name="B5_q1" files="F25" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.of plot
      </labl>
      <qstn>
        <ivuInstr><![CDATA[A running serial number starting from 1 will be given in col. (1) of this block for all lines recording particulars of ownership/acquisition/disposal of land during the specified reference period.  It may be noted that, in most cases, there will be a gap between the last serial number entered by the investigator and serial number '98' printed in col.(1) against residential areas including house site.  No attempt need be made to bridge the gap by altering the serial number printed in the schedule.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V785" name="B5_q3" files="F25" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Type of land
      </labl>
      <qstn>
        <qstnLit>
          What type of land is owned/acquired/disposed of by the household?
        </qstnLit>
        <ivuInstr>
          This column is meant for recording the type of land owned/acquired/disposed of by the household during the specified reference period in terms of codes. In case owned/acquired/disposed of area of a plot includes more than one type of land, the type which covers the maximum area of the plot under the ownership/acquisition/disposal will be considered as the type for making entry in this column.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        241132
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          seasonal crop area-irrigated
        </labl>
        <catStat type="freq">
          61449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          seasonal crop area-unirrigated
        </labl>
        <catStat type="freq">
          49759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          orchards and plantations
        </labl>
        <catStat type="freq">
          5052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          water bodies
        </labl>
        <catStat type="freq">
          908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          exclusively for non-farm business
        </labl>
        <catStat type="freq">
          758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl><![CDATA[other  non-agricultural uses ]]></labl>
        <catStat type="freq">
          1787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          residential area including house-site
        </labl>
        <catStat type="freq">
          116924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          other areas
        </labl>
        <catStat type="freq">
          4495
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V786" name="B5_q4" files="F25" dcml="3" intrvl="contin">
      <location StartPos="51" EndPos="57" width="7" RecSegNo="1"/>
      <labl>
        Area owned by the hhld.(hectares 0.000)
      </labl>
      <qstn>
        <qstnLit>
          How much area of land is owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[If the entire plot is owned by the members of the household on the date of survey, the owned area, which is the geographical area of the plot, will be recorded in hectares up to three places of decimal in col.(4).  However, if on the date of survey, the plot is owned jointly by members of two or more households, the actual area owned by the sample household in hectares up to three places of decimal will be recorded  in col.(4).  For example, if a plot of 5.000 hectares is owned equally by four brothers belonging to four different households and if one of them is selected for the survey, the entries in cols.(4) for the sample household will be 1.250 hectare respectively.  Cols. (4) and (5) will remain blank if no area of the plot is owned by the household on the date of survey but some area of the plot has been disposed of during 1.7.02 to the date of survey.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="144.407"/>
      </valrng>
      <sumStat type="vald">
        359486
      </sumStat>
      <sumStat type="invd">
        610
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        144.407
      </sumStat>
      <sumStat type="mean">
        0.387
      </sumStat>
      <sumStat type="stdev">
        1.288
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V787" name="B5_q5" files="F25" dcml="0" intrvl="contin">
      <location StartPos="58" EndPos="65" width="8" RecSegNo="1"/>
      <labl>
        Value on date of survey (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of land owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[For each plot, value will be recorded in rupees (whole no.) in col.(5) and/or (7) and /or (9) depending whether an area of the plots is owned as on the date of survey or acquired or disposed of during the reference period.  It may be emphasised that as per the procedure laid down, if a piece of land is acquired during the reference period and is owned on the date of survey, the value to be recorded in col.(5) and col.(7) will be the same.  Similarly, if a piece of land is acquired and then disposed of during the reference period, the value to be recorded in col. (7) and col. (9) will be the same.  However, if a part of the plot which is acquired during 1.7.02 to the date of survey, is disposed of during the said reference period and the remaining part of the plot is owned on the date of survey, then the entries to be made in col.(5) & (9) together will be same as that in col.(7).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="80120000"/>
      </valrng>
      <sumStat type="vald">
        359215
      </sumStat>
      <sumStat type="invd">
        881
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        80120000
      </sumStat>
      <sumStat type="mean">
        137693.923
      </sumStat>
      <sumStat type="stdev">
        508851.783
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V788" name="B5_q6" files="F25" dcml="3" intrvl="contin">
      <location StartPos="66" EndPos="72" width="7" RecSegNo="1"/>
      <labl>
        Transaction-acquisition-Area (hectares 0.000)
      </labl>
      <qstn>
        <qstnLit>
          How much area of land is transacted/acquired by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Information relating to the area (hectares 0.000) and value (Rs.) of the transactions of land that take place during 1.7.02 to the date of survey will be recorded in cols. (6) to (9).  Under transaction, information will be collected separately for acquisition and for disposal.  Acquisition will mean addition to stock by way of purchase, gift, inheritance etc. and disposal will result in depletion of stock by way of sale, gift etc.  Inheritance will be considered as acquisition only when inheritor belongs to a different household.  Leasing in and leasing out of land will not be treated as acquisition or disposal of land.  Area and value of all pieces of land acquired during 1.7.02 to the date of survey will be recorded in cols. (6) and (7) respectively irrespective of whether the piece of land is disposed of subsequently or owned, on the date of survey.  Similarly, area and value of all pieces of land disposed of during 1.7.02 to date of survey will be recorded in cols. (8) and (9) respectively irrespective of whether the piece of land has been acquired during the said reference period or prior to that.  Area will be recorded in hectares (three places of decimal).]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="305.876"/>
      </valrng>
      <sumStat type="vald">
        1653
      </sumStat>
      <sumStat type="invd">
        358443
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        305.876
      </sumStat>
      <sumStat type="mean">
        1.079
      </sumStat>
      <sumStat type="stdev">
        9.87
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V789" name="B5_q7" files="F25" dcml="0" intrvl="contin">
      <location StartPos="73" EndPos="80" width="8" RecSegNo="1"/>
      <labl>
        Transaction-acquisition-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of the land transacted/acquired by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Information relating to the area (hectares 0.000) and value (Rs.) of the transactions of land that take place during 1.7.02 to the date of survey will be recorded in cols. (6) to (9).  Under transaction, information will be collected separately for acquisition and for disposal.  Acquisition will mean addition to stock by way of purchase, gift, inheritance etc. and disposal will result in depletion of stock by way of sale, gift etc.  Inheritance will be considered as acquisition only when inheritor belongs to a different household.  Leasing in and leasing out of land will not be treated as acquisition or disposal of land.  Area and value of all pieces of land acquired during 1.7.02 to the date of survey will be recorded in cols. (6) and (7) respectively irrespective of whether the piece of land is disposed of subsequently or owned, on the date of survey.  Similarly, area and value of all pieces of land disposed of during 1.7.02 to date of survey will be recorded in cols. (8) and (9) respectively irrespective of whether the piece of land has been acquired during the said reference period or prior to that.  Area will be recorded in hectares (three places of decimal).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="50033948"/>
      </valrng>
      <sumStat type="vald">
        1588
      </sumStat>
      <sumStat type="invd">
        358508
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        50033948
      </sumStat>
      <sumStat type="mean">
        394775.749
      </sumStat>
      <sumStat type="stdev">
        3008111.378
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V790" name="B5_q8" files="F25" dcml="3" intrvl="contin">
      <location StartPos="81" EndPos="87" width="7" RecSegNo="1"/>
      <labl>
        Transaction-disposal-Area (hectares 0.000)
      </labl>
      <qstn>
        <qstnLit>
          How much area of land is transacted/disposed by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Information relating to the area (hectares 0.000) and value (Rs.) of the transactions of land that take place during 1.7.02 to the date of survey will be recorded in cols. (6) to (9).  Under transaction, information will be collected separately for acquisition and for disposal.  Acquisition will mean addition to stock by way of purchase, gift, inheritance etc. and disposal will result in depletion of stock by way of sale, gift etc.  Inheritance will be considered as acquisition only when inheritor belongs to a different household.  Leasing in and leasing out of land will not be treated as acquisition or disposal of land.  Area and value of all pieces of land acquired during 1.7.02 to the date of survey will be recorded in cols. (6) and (7) respectively irrespective of whether the piece of land is disposed of subsequently or owned, on the date of survey.  Similarly, area and value of all pieces of land disposed of during 1.7.02 to date of survey will be recorded in cols. (8) and (9) respectively irrespective of whether the piece of land has been acquired during the said reference period or prior to that.  Area will be recorded in hectares (three places of decimal).]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="305.876"/>
      </valrng>
      <sumStat type="vald">
        983
      </sumStat>
      <sumStat type="invd">
        359113
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        305.876
      </sumStat>
      <sumStat type="mean">
        1.712
      </sumStat>
      <sumStat type="stdev">
        12.757
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V791" name="B5_q9" files="F25" dcml="0" intrvl="contin">
      <location StartPos="88" EndPos="95" width="8" RecSegNo="1"/>
      <labl>
        Transaction-disposal-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much is the value of the land transacted/disposed by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Information relating to the area (hectares 0.000) and value (Rs.) of the transactions of land that take place during 1.7.02 to the date of survey will be recorded in cols. (6) to (9).  Under transaction, information will be collected separately for acquisition and for disposal.  Acquisition will mean addition to stock by way of purchase, gift, inheritance etc. and disposal will result in depletion of stock by way of sale, gift etc.  Inheritance will be considered as acquisition only when inheritor belongs to a different household.  Leasing in and leasing out of land will not be treated as acquisition or disposal of land.  Area and value of all pieces of land acquired during 1.7.02 to the date of survey will be recorded in cols. (6) and (7) respectively irrespective of whether the piece of land is disposed of subsequently or owned, on the date of survey.  Similarly, area and value of all pieces of land disposed of during 1.7.02 to date of survey will be recorded in cols. (8) and (9) respectively irrespective of whether the piece of land has been acquired during the said reference period or prior to that.  Area will be recorded in hectares (three places of decimal).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="50033948"/>
      </valrng>
      <sumStat type="vald">
        963
      </sumStat>
      <sumStat type="invd">
        359133
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        50033948
      </sumStat>
      <sumStat type="mean">
        564245.026
      </sumStat>
      <sumStat type="stdev">
        3848844.528
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V792" name="B5_q10" files="F25" dcml="3" intrvl="contin">
      <location StartPos="96" EndPos="102" width="7" RecSegNo="1"/>
      <labl>
        Land owned-Area (hectares 0.000)
      </labl>
      <qstn>
        <qstnLit>
          How much total area of land is owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The area and value of land owned as on 30.6.02 will be recorded in cols. (10) and (11) respectively.  The relevant entries, in these two columns, will be derived as follows:

(i)   col. (10) = col. (4) + col. (8) - col. (6)
(ii)  col. (11) = col. (5) + col. (9) - col. (7).]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="144.407"/>
      </valrng>
      <sumStat type="vald">
        358892
      </sumStat>
      <sumStat type="invd">
        1204
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        144.407
      </sumStat>
      <sumStat type="mean">
        0.387
      </sumStat>
      <sumStat type="stdev">
        1.289
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V793" name="B5_q11" files="F25" dcml="0" intrvl="contin">
      <location StartPos="103" EndPos="110" width="8" RecSegNo="1"/>
      <labl>
        Land owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of total land owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The area and value of land owned as on 30.6.02 will be recorded in cols. (10) and (11) respectively.  The relevant entries, in these two columns, will be derived as follows:

(i)   col. (10) = col. (4) + col. (8) - col. (6)
(ii)  col. (11) = col. (5) + col. (9) - col. (7).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="80120000"/>
      </valrng>
      <sumStat type="vald">
        358655
      </sumStat>
      <sumStat type="invd">
        1441
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        80120000
      </sumStat>
      <sumStat type="mean">
        137676.002
      </sumStat>
      <sumStat type="stdev">
        509182.402
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V794" name="NSS" files="F25" intrvl="discrete">
      <location StartPos="111" EndPos="112" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V795" name="NSC" files="F25" intrvl="discrete">
      <location StartPos="113" EndPos="115" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V796" name="MLT" files="F25" dcml="2" intrvl="contin">
      <location StartPos="116" EndPos="124" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="561457.54"/>
      </valrng>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        561457.54
      </sumStat>
      <sumStat type="mean">
        3051.157
      </sumStat>
      <sumStat type="stdev">
        4732.278
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V799" name="Weight" wgt="wgt" files="F25" dcml="2" intrvl="contin">
      <location StartPos="125" EndPos="131" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="2807.2877"/>
      </valrng>
      <sumStat type="vald">
        360096
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        2807.288
      </sumStat>
      <sumStat type="mean">
        15.343
      </sumStat>
      <sumStat type="stdev">
        24.339
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V827" name="HHID" files="F26" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V800" name="CentreCodeRndShift" files="F26" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V801" name="Vill_Blk_Slno" files="F26" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V802" name="Round" files="F26" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          281823
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V803" name="Schedule" files="F26" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          281823
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V804" name="Sample" files="F26" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          281823
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V805" name="Sector" files="F26" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          206369
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          75454
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V806" name="State_Region" files="F26" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V828" name="State" files="F26" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          6025
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          5430
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          8197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          6075
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2763
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          14672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          36960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          18256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          2246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          2191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          5435
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          3674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          5037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          3345
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          11735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          22814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          6923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          9018
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          5226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          13761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          8701
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          20057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          15265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          10776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          598
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          12372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          16788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          572
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V807" name="District" files="F26" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V808" name="Stratum" files="F26" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V809" name="SubRound" files="F26" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          141523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          140300
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V810" name="SubSample" files="F26" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          141190
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          140633
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V811" name="FOD_SubRegion" files="F26" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V812" name="HG_SubBlkNo" files="F26" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V813" name="Second_Stratum" files="F26" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V814" name="Visit_no" files="F26" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          281816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V815" name="Hhold_no" files="F26" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V816" name="Level" files="F26" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          05
        </catValu>
        <catStat type="freq">
          281823
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V817" name="B6_q1" files="F26" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          residential building
        </labl>
        <catStat type="freq">
          118035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[building  used for  farm business - barn (gola)]]></labl>
        <catStat type="freq">
          2209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[building  used for  farm business -animal shed]]></labl>
        <catStat type="freq">
          29379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[building  used for  farm business - farm house]]></labl>
        <catStat type="freq">
          1171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[building  used for  farm business - others]]></labl>
        <catStat type="freq">
          1708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[building used for  non-farm business - workplace/workshop]]></labl>
        <catStat type="freq">
          2462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[building used for  non-farm business - shop]]></labl>
        <catStat type="freq">
          5566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[building used for  non-farm business - others]]></labl>
        <catStat type="freq">
          460
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[building used for  non-farm business - other constructions not covered in items 1 to 8]]></labl>
        <catStat type="freq">
          1971
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[building used for  non-farm business - incomplete structures (work-in-progress)]]></labl>
        <catStat type="freq">
          421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          total (items 1 to 10)
        </labl>
        <catStat type="freq">
          118441
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V818" name="B6_q3" files="F26" dcml="2" intrvl="contin">
      <location StartPos="50" EndPos="56" width="7" RecSegNo="1"/>
      <labl><![CDATA[Owned-Floor area (sq.  mtrs 0.00)]]></labl>
      <qstn>
        <qstnLit>
          How much is the owned floor area?
        </qstnLit>
        <ivuInstr>
          Floor area and value of the building and other constructions as listed in col. 2 owned by the sample household on the date of survey will be recorded under cols.(3) and (4) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8850"/>
      </valrng>
      <sumStat type="vald">
        160859
      </sumStat>
      <sumStat type="invd">
        120964
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8850
      </sumStat>
      <sumStat type="mean">
        42.742
      </sumStat>
      <sumStat type="stdev">
        84.481
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V819" name="B6_q4" files="F26" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="64" width="8" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of the floor area owned by the household?
        </qstnLit>
        <ivuInstr>
          Floor area and value of the building and other constructions as listed in col. 2 owned by the sample household on the date of survey will be recorded under cols.(3) and (4) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="33000000"/>
      </valrng>
      <sumStat type="vald">
        281793
      </sumStat>
      <sumStat type="invd">
        30
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        33000000
      </sumStat>
      <sumStat type="mean">
        100325.014
      </sumStat>
      <sumStat type="stdev">
        280575.324
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V820" name="B6_q5" files="F26" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="71" width="7" RecSegNo="1"/>
      <labl>
        Value -acquisition-Purchased (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of the building acquired / purchased by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Information on transactions of buildings and other constructions owned by the household during 1.7.02 to the date of survey is recorded in cols 5 to 12. Information on acquisition particulars will be recorded in cols 5 to 8. If the household has purchased (first hand or second hand) any building or structure  listed n col. 2 during the reference period, the purchase price (whether fully paid or not) of the said structure will be recorded in cols.(5).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3000000"/>
      </valrng>
      <sumStat type="vald">
        671
      </sumStat>
      <sumStat type="invd">
        281152
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000000
      </sumStat>
      <sumStat type="mean">
        215064.876
      </sumStat>
      <sumStat type="stdev">
        380952.084
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V821" name="B6_q6" files="F26" dcml="0" intrvl="contin">
      <location StartPos="72" EndPos="78" width="7" RecSegNo="1"/>
      <labl>
        Value-acquisition-Const.&amp; impv. (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of acquisition / construction &amp; improvement of the building?
        </qstnLit>
        <ivuInstr><![CDATA[In case any building or other construction is newly built or the floor area of the existing structure is extended during the reference period, the value of the constructed building/other construction or the extended portion of the building/other construction will be recorded in cols.(6). Sometimes for improving the condition of the structure, major repairs and alterations (refer to chapter 1), are made to the existing structure/construction.  In such cases, although there is no increase in the floor area, the value of such major repairs and alteration has to be recorded in col. (6).  It need be emphasized here that normal repairs and maintenance of buildings undertaken by the household will not be considered for making entry in this block.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1500000"/>
      </valrng>
      <sumStat type="vald">
        7653
      </sumStat>
      <sumStat type="invd">
        274170
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1500000
      </sumStat>
      <sumStat type="mean">
        50071.298
      </sumStat>
      <sumStat type="stdev">
        101483.74
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V822" name="B6_q7" files="F26" dcml="0" intrvl="contin">
      <location StartPos="79" EndPos="84" width="6" RecSegNo="1"/>
      <labl>
        Value-acquisition-Otherwise acq. (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of acquired / otherwise acquired building?
        </qstnLit>
        <ivuInstr><![CDATA[The required information of buildings or structures/constructions acquired by the household during the reference period by any other way than mentioned above, such as gift etc., will be recorded here.  Value will be equal to the amount it will fetch if sold in the market in the existing condition.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="450000"/>
      </valrng>
      <sumStat type="vald">
        301
      </sumStat>
      <sumStat type="invd">
        281522
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        450000
      </sumStat>
      <sumStat type="mean">
        16766.312
      </sumStat>
      <sumStat type="stdev">
        58053.564
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V823" name="B6_q8" files="F26" dcml="0" intrvl="contin">
      <location StartPos="85" EndPos="91" width="7" RecSegNo="1"/>
      <labl>
        Value-acquisition-Total (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the total value of the acquired building?
        </qstnLit>
        <ivuInstr><![CDATA[The value of the total acquisition of buildings and other constructions is to be recorded in cols. (8) by using the following algebraic   relations:
col. (8) = col. (5) + col. (6) + col. (7)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3000000"/>
      </valrng>
      <sumStat type="vald">
        8473
      </sumStat>
      <sumStat type="invd">
        273350
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000000
      </sumStat>
      <sumStat type="mean">
        62852.674
      </sumStat>
      <sumStat type="stdev">
        152015.127
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V824" name="NSS" files="F26" intrvl="discrete">
      <location StartPos="92" EndPos="93" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V825" name="NSC" files="F26" intrvl="discrete">
      <location StartPos="94" EndPos="96" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V826" name="MLT" files="F26" dcml="2" intrvl="contin">
      <location StartPos="97" EndPos="105" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="561457.54"/>
      </valrng>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        561457.54
      </sumStat>
      <sumStat type="mean">
        2937.601
      </sumStat>
      <sumStat type="stdev">
        4829.577
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V829" name="Weight" wgt="wgt" files="F26" dcml="2" intrvl="contin">
      <location StartPos="106" EndPos="112" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="2807.2877"/>
      </valrng>
      <sumStat type="vald">
        281823
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        2807.288
      </sumStat>
      <sumStat type="mean">
        14.774
      </sumStat>
      <sumStat type="stdev">
        24.86
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V857" name="HHID" files="F27" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V830" name="CentreCodeRndShift" files="F27" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V831" name="Vill_Blk_Slno" files="F27" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V832" name="Round" files="F27" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          280206
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V833" name="Schedule" files="F27" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          280206
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V834" name="Sample" files="F27" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          280206
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V835" name="Sector" files="F27" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          205406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          74800
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V836" name="State_Region" files="F27" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V858" name="State" files="F27" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          6020
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          5397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          8151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          6034
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          14629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          36827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          18241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          2234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1643
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          2182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          5414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          3654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          5033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          3328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          11701
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          22716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          6901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          8981
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          5195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          13709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          8641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          386
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          19836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          15078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          10734
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          12150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          16653
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          893
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          571
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V837" name="District" files="F27" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V838" name="Stratum" files="F27" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V839" name="SubRound" files="F27" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          140649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          139557
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V840" name="SubSample" files="F27" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          140356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          139850
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V841" name="FOD_SubRegion" files="F27" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V842" name="HG_SubBlkNo" files="F27" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V843" name="Second_Stratum" files="F27" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V844" name="Visit_no" files="F27" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          280200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V845" name="Hhold_no" files="F27" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V846" name="Level" files="F27" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          06
        </catValu>
        <catStat type="freq">
          280206
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V847" name="B6_q1" files="F27" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          residential building
        </labl>
        <catStat type="freq">
          117503
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[building  used for  farm business - barn (gola)]]></labl>
        <catStat type="freq">
          2197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[building  used for  farm business -animal shed]]></labl>
        <catStat type="freq">
          29249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[building  used for  farm business - farm house]]></labl>
        <catStat type="freq">
          1161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[building  used for  farm business - others]]></labl>
        <catStat type="freq">
          1693
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[building used for  non-farm business - workplace/workshop]]></labl>
        <catStat type="freq">
          2439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[building used for  non-farm business - shop]]></labl>
        <catStat type="freq">
          5497
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[building used for  non-farm business - others]]></labl>
        <catStat type="freq">
          460
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[building used for  non-farm business - other constructions not covered in items 1 to 8]]></labl>
        <catStat type="freq">
          1909
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[building used for  non-farm business - incomplete structures (work-in-progress)]]></labl>
        <catStat type="freq">
          269
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          total (items 1 to 10)
        </labl>
        <catStat type="freq">
          117829
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V848" name="B6_q9" files="F27" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="56" width="7" RecSegNo="1"/>
      <labl>
        Value-disposal-Sold (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of sale/disposal of the building?
        </qstnLit>
        <ivuInstr><![CDATA[The value of disposal of buildings and other constructions during 1.7.02 to date of survey will be recorded in cols 9 to 12. If the household has sold an owned building or structure/construction or part  thereof during the reference period, the value of sale  of the said building or the part of the building will be recorded in col.(9).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1700000"/>
      </valrng>
      <sumStat type="vald">
        134
      </sumStat>
      <sumStat type="invd">
        280072
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1700000
      </sumStat>
      <sumStat type="mean">
        124220.866
      </sumStat>
      <sumStat type="stdev">
        259038.596
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V849" name="B6_q10" files="F27" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="62" width="6" RecSegNo="1"/>
      <labl>
        Value-disposal-Otherwise disp. off (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Whether the household has disposed of a building or part thereof by way of gift etc. (and not discarded or disposed of by way of sale) during reference period, what is the value of such disposal of the building?
        </qstnLit>
        <ivuInstr>
          If the household has disposed of a building or part thereof by way of gift etc. (and not discarded or disposed of by way of sale) during reference period, the value of the structure or part of the structure disposed of will be noted in cols. (10) in whole no. of rupees.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="300000"/>
      </valrng>
      <sumStat type="vald">
        169
      </sumStat>
      <sumStat type="invd">
        280037
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        300000
      </sumStat>
      <sumStat type="mean">
        20973.254
      </sumStat>
      <sumStat type="stdev">
        49574.655
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V850" name="B6_q11" files="F27" dcml="0" intrvl="contin">
      <location StartPos="63" EndPos="69" width="7" RecSegNo="1"/>
      <labl>
        Value-disposal-Discarded (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Whether there is a building or a part of a building that is completely discarded as being of no use to the owner. What is the value of such discarded building?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes a building or apart of a building is completely discarded being of no use to the owner.  Usually such assets are in very poor conditions.  These assets do not fetch much value and generally they are considered as scraps.  The value of the said assets, discarded during the reference period, will be evaluated at current marketing price prevailing in the locality, considering the condition of the asset when it was in use prior to being discarded. The value of the discarded building will be recorded in cols. (11).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1300000"/>
      </valrng>
      <sumStat type="vald">
        491
      </sumStat>
      <sumStat type="invd">
        279715
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1300000
      </sumStat>
      <sumStat type="mean">
        15522.876
      </sumStat>
      <sumStat type="stdev">
        86313.297
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V851" name="B6_q12" files="F27" dcml="0" intrvl="contin">
      <location StartPos="70" EndPos="76" width="7" RecSegNo="1"/>
      <labl>
        Value-disposal-Total (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the total value of sale/disposal of the building?
        </qstnLit>
        <ivuInstr><![CDATA[The value of the total disposal is to be recorded in cols. (12) by using the following algebraic relations:  

col. (12) = col. (9) + col. (10) + col. (11)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1700000"/>
      </valrng>
      <sumStat type="vald">
        845
      </sumStat>
      <sumStat type="invd">
        279361
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1700000
      </sumStat>
      <sumStat type="mean">
        37709.964
      </sumStat>
      <sumStat type="stdev">
        131680.753
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V852" name="B6_q13" files="F27" dcml="2" intrvl="contin">
      <location StartPos="77" EndPos="83" width="7" RecSegNo="1"/>
      <labl><![CDATA[Owned-Floor area (sq.  mtrs 0.00)]]></labl>
      <qstn>
        <qstnLit>
          How much floor area is owned by the household?
        </qstnLit>
        <ivuInstr>
          The floor area of the building/structure as on 30.6.02 will be recorded in col. (13) after an enquiry to the informant.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8850"/>
      </valrng>
      <sumStat type="vald">
        160007
      </sumStat>
      <sumStat type="invd">
        120199
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8850
      </sumStat>
      <sumStat type="mean">
        42.801
      </sumStat>
      <sumStat type="stdev">
        84.105
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V853" name="B6_q14" files="F27" dcml="0" intrvl="contin">
      <location StartPos="84" EndPos="91" width="8" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of asset owned by the household?
        </qstnLit>
        <ivuInstr>
          The value of assets as on 30.6.02 will be derived in col. (14) as (col. (4) + col. (12) - col. (8) ).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="33000000"/>
      </valrng>
      <sumStat type="vald">
        280181
      </sumStat>
      <sumStat type="invd">
        25
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        33000000
      </sumStat>
      <sumStat type="mean">
        99019.521
      </sumStat>
      <sumStat type="stdev">
        279559.811
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V854" name="NSS" files="F27" intrvl="discrete">
      <location StartPos="92" EndPos="93" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V855" name="NSC" files="F27" intrvl="discrete">
      <location StartPos="94" EndPos="96" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V856" name="MLT" files="F27" dcml="2" intrvl="contin">
      <location StartPos="97" EndPos="105" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="561457.54"/>
      </valrng>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        561457.54
      </sumStat>
      <sumStat type="mean">
        2938.034
      </sumStat>
      <sumStat type="stdev">
        4833.149
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V859" name="Weight" wgt="wgt" files="F27" dcml="2" intrvl="contin">
      <location StartPos="106" EndPos="112" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="2807.2877"/>
      </valrng>
      <sumStat type="vald">
        280206
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        2807.288
      </sumStat>
      <sumStat type="mean">
        14.776
      </sumStat>
      <sumStat type="stdev">
        24.881
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V889" name="HHID" files="F28" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V860" name="CentreCodeRndShift" files="F28" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V861" name="Vill_Blk_Slno" files="F28" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V862" name="Round" files="F28" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          293872
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V863" name="Schedule" files="F28" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          293872
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V864" name="Sample" files="F28" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          293872
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V865" name="Sector" files="F28" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          269120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          24752
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V866" name="State_Region" files="F28" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V890" name="State" files="F28" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          9093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          7707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          7303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2850
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          6301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          19516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          39251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          15717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          4521
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          6290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          3483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          7476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          4495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          6263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          5618
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          20395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          22489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          8650
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          9896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          6703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          16773
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          7251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          15455
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          11197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          9283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          469
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          7408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          9655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          734
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V867" name="District" files="F28" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V868" name="Stratum" files="F28" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V869" name="SubRound" files="F28" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          147785
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          146087
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V870" name="SubSample" files="F28" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          148035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          145837
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V871" name="FOD_SubRegion" files="F28" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V872" name="HG_SubBlkNo" files="F28" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V873" name="Second_Stratum" files="F28" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V874" name="Visit_no" files="F28" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          293864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V875" name="Hhold_no" files="F28" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V876" name="Level" files="F28" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          07
        </catValu>
        <catStat type="freq">
          293872
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V877" name="B7_q1" files="F28" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl><![CDATA[ young  stock  (male)]]></labl>
        <catStat type="freq">
          1420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          young stock (female)
        </labl>
        <catStat type="freq">
          2211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[breeding cow: in milk    ]]></labl>
        <catStat type="freq">
          3186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[breeding cow: dry   ]]></labl>
        <catStat type="freq">
          1319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          cow not calved even once
        </labl>
        <catStat type="freq">
          370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[ for work/ breeding    ]]></labl>
        <catStat type="freq">
          1447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[others   ]]></labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[young  stock  (male)]]></labl>
        <catStat type="freq">
          8756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          young stock (female)
        </labl>
        <catStat type="freq">
          9739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[ breeding cow: in milk    ]]></labl>
        <catStat type="freq">
          12116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[breeding cow: dry   ]]></labl>
        <catStat type="freq">
          8306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          cow not calved even once
        </labl>
        <catStat type="freq">
          1499
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[male cattle over 3 years for work/ breeding    ]]></labl>
        <catStat type="freq">
          13334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[male cattle over 3 years others   ]]></labl>
        <catStat type="freq">
          627
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[buffalo: young  stock  (male)]]></labl>
        <catStat type="freq">
          4450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          buffalo: young stock (female)
        </labl>
        <catStat type="freq">
          8646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[breeding buffalo: in milk    ]]></labl>
        <catStat type="freq">
          11519
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[breeding buffalo: dry   ]]></labl>
        <catStat type="freq">
          6801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[buffalo(female) not calved even once   ]]></labl>
        <catStat type="freq">
          1204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[buffalo  others]]></labl>
        <catStat type="freq">
          164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          male buffalo for work/breeding
        </labl>
        <catStat type="freq">
          1444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[male buffalo others   ]]></labl>
        <catStat type="freq">
          121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Sub total (items 1 to 24)
        </labl>
        <catStat type="freq">
          44368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Elephant
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Horse, mule &amp; pony
        </labl>
        <catStat type="freq">
          344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Donkey
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Camel
        </labl>
        <catStat type="freq">
          219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Yak &amp; mithun
        </labl>
        <catStat type="freq">
          244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Sub total ( items 26 to 30)
        </labl>
        <catStat type="freq">
          954
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Sheep
        </labl>
        <catStat type="freq">
          1866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl><![CDATA[Goat  ]]></labl>
        <catStat type="freq">
          13446
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl><![CDATA[Pig  ]]></labl>
        <catStat type="freq">
          3504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Rabbit
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Sub total ( items 32 to 35)
        </labl>
        <catStat type="freq">
          17473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl><![CDATA[Cock  ]]></labl>
        <catStat type="freq">
          8655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <labl>
          Hen
        </labl>
        <catStat type="freq">
          15074
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Chicken
        </labl>
        <catStat type="freq">
          8670
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl><![CDATA[Duck & duckling   ]]></labl>
        <catStat type="freq">
          2582
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Other poultry birds*
        </labl>
        <catStat type="freq">
          361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Sub total (items 37 to 41)
        </labl>
        <catStat type="freq">
          17595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl><![CDATA[total (items  25+31+36 + 42+ 43)]]></labl>
        <catStat type="freq">
          58659
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V878" name="B7_q3" files="F28" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="54" width="5" RecSegNo="1"/>
      <labl>
        Owned-No.
      </labl>
      <qstn>
        <qstnLit>
          How many animals are owned by the household?
        </qstnLit>
        <ivuInstr>
          For each of the items listed in col.(2), the number of animals owned on the date of survey will be ascertained and recorded in col.(3).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="21111"/>
      </valrng>
      <sumStat type="vald">
        288961
      </sumStat>
      <sumStat type="invd">
        4911
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        21111
      </sumStat>
      <sumStat type="mean">
        4.563
      </sumStat>
      <sumStat type="stdev">
        78.051
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V879" name="B7_q4" files="F28" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="61" width="7" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of the animals owned by the household?
        </qstnLit>
        <ivuInstr>
          The value of each of livestock recorded in col. (3) against an item will be entered in col. (4) against the same item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="4260000"/>
      </valrng>
      <sumStat type="vald">
        289075
      </sumStat>
      <sumStat type="invd">
        4797
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4260000
      </sumStat>
      <sumStat type="mean">
        6069.073
      </sumStat>
      <sumStat type="stdev">
        17972.143
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V880" name="B7_q5" files="F28" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="66" width="5" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-No.
      </labl>
      <qstn>
        <qstnLit>
          How many animals were transacted / acquired by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The transactions during 1.7.02 to the date of survey will be recorded in cols. (5) to (8).  The information on acquisition will be recorded in cols. (5) and (6), while that of disposal in cols. (7) and (8).  The acquisition will mean addition to stock by way of purchase, birth, gift, otherwise acquired etc. and disposal will mean depletion of stock and will include sale, deaths, loss, gift, etc.  The information in respect of number will be recorded in cols. (5) and (7) for acquisition and disposal respectively and that of value will be entered in cols 6 and 8 for acquisition and disposal respectively.  It may be mentioned that in the case of death of a livestock acquired prior to the reference period, i.e. before to 1.7.02, the value of the livestock to be recorded in col.(8) will be the price that the livestock would have fetched had it been sold prior to its death.  The entries in cols. (9) and (10) will be obtained by derivation of figure in cols. (3) to (8) in the following way.

(i)    col. (9)   = col. (3) + col. (7) - col. (5)
(ii)   col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15080"/>
      </valrng>
      <sumStat type="vald">
        45760
      </sumStat>
      <sumStat type="invd">
        248112
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15080
      </sumStat>
      <sumStat type="mean">
        10.477
      </sumStat>
      <sumStat type="stdev">
        225.257
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V881" name="B7_q6" files="F28" dcml="0" intrvl="contin">
      <location StartPos="67" EndPos="73" width="7" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          For how much animals were transacted / acquired by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The transactions during 1.7.02 to the date of survey will be recorded in cols. (5) to (8).  The information on acquisition will be recorded in cols. (5) and (6), while that of disposal in cols. (7) and (8).  The acquisition will mean addition to stock by way of purchase, birth, gift, otherwise acquired etc. and disposal will mean depletion of stock and will include sale, deaths, loss, gift, etc.  The information in respect of number will be recorded in cols. (5) and (7) for acquisition and disposal respectively and that of value will be entered in cols 6 and 8 for acquisition and disposal respectively.  It may be mentioned that in the case of death of a livestock acquired prior to the reference period, i.e. before to 1.7.02, the value of the livestock to be recorded in col.(8) will be the price that the livestock would have fetched had it been sold prior to its death.  The entries in cols. (9) and (10) will be obtained by derivation of figure in cols. (3) to (8) in the following way.

(i)    col. (9)   = col. (3) + col. (7) - col. (5)
(ii)   col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="5060000"/>
      </valrng>
      <sumStat type="vald">
        46105
      </sumStat>
      <sumStat type="invd">
        247767
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5060000
      </sumStat>
      <sumStat type="mean">
        2637.399
      </sumStat>
      <sumStat type="stdev">
        41780.442
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V882" name="B7_q7" files="F28" dcml="0" intrvl="contin">
      <location StartPos="74" EndPos="78" width="5" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-No.
      </labl>
      <qstn>
        <qstnLit>
          How many animals were transacted / disposed by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The transactions during 1.7.02 to the date of survey will be recorded in cols. (5) to (8).  The information on acquisition will be recorded in cols. (5) and (6), while that of disposal in cols. (7) and (8).  The acquisition will mean addition to stock by way of purchase, birth, gift, otherwise acquired etc. and disposal will mean depletion of stock and will include sale, deaths, loss, gift, etc.  The information in respect of number will be recorded in cols. (5) and (7) for acquisition and disposal respectively and that of value will be entered in cols 6 and 8 for acquisition and disposal respectively.  It may be mentioned that in the case of death of a livestock acquired prior to the reference period, i.e. before to 1.7.02, the value of the livestock to be recorded in col.(8) will be the price that the livestock would have fetched had it been sold prior to its death.  The entries in cols. (9) and (10) will be obtained by derivation of figure in cols. (3) to (8) in the following way.

(i)    col. (9)   = col. (3) + col. (7) - col. (5)
(ii)   col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15010"/>
      </valrng>
      <sumStat type="vald">
        31650
      </sumStat>
      <sumStat type="invd">
        262222
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15010
      </sumStat>
      <sumStat type="mean">
        13.501
      </sumStat>
      <sumStat type="stdev">
        269.431
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V883" name="B7_q8" files="F28" dcml="0" intrvl="contin">
      <location StartPos="79" EndPos="85" width="7" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          For how much animals were transacted / disposed of by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The transactions during 1.7.02 to the date of survey will be recorded in cols. (5) to (8).  The information on acquisition will be recorded in cols. (5) and (6), while that of disposal in cols. (7) and (8).  The acquisition will mean addition to stock by way of purchase, birth, gift, otherwise acquired etc. and disposal will mean depletion of stock and will include sale, deaths, loss, gift, etc.  The information in respect of number will be recorded in cols. (5) and (7) for acquisition and disposal respectively and that of value will be entered in cols 6 and 8 for acquisition and disposal respectively.  It may be mentioned that in the case of death of a livestock acquired prior to the reference period, i.e. before to 1.7.02, the value of the livestock to be recorded in col.(8) will be the price that the livestock would have fetched had it been sold prior to its death.  The entries in cols. (9) and (10) will be obtained by derivation of figure in cols. (3) to (8) in the following way.

(i)    col. (9)   = col. (3) + col. (7) - col. (5)
(ii)   col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="4570000"/>
      </valrng>
      <sumStat type="vald">
        31696
      </sumStat>
      <sumStat type="invd">
        262176
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4570000
      </sumStat>
      <sumStat type="mean">
        3716.966
      </sumStat>
      <sumStat type="stdev">
        47677.221
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V884" name="B7_q9" files="F28" dcml="0" intrvl="contin">
      <location StartPos="86" EndPos="90" width="5" RecSegNo="1"/>
      <labl>
        Assets-No.
      </labl>
      <qstn>
        <qstnLit>
          How many assets are held by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The transactions during 1.7.02 to the date of survey will be recorded in cols. (5) to (8).  The information on acquisition will be recorded in cols. (5) and (6), while that of disposal in cols. (7) and (8).  The acquisition will mean addition to stock by way of purchase, birth, gift, otherwise acquired etc. and disposal will mean depletion of stock and will include sale, deaths, loss, gift, etc.  The information in respect of number will be recorded in cols. (5) and (7) for acquisition and disposal respectively and that of value will be entered in cols 6 and 8 for acquisition and disposal respectively.  It may be mentioned that in the case of death of a livestock acquired prior to the reference period, i.e. before to 1.7.02, the value of the livestock to be recorded in col.(8) will be the price that the livestock would have fetched had it been sold prior to its death.  The entries in cols. (9) and (10) will be obtained by derivation of figure in cols. (3) to (8) in the following way.

(i)    col. (9)   = col. (3) + col. (7) - col. (5)
(ii)   col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15003"/>
      </valrng>
      <sumStat type="vald">
        279460
      </sumStat>
      <sumStat type="invd">
        14412
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15003
      </sumStat>
      <sumStat type="mean">
        4.412
      </sumStat>
      <sumStat type="stdev">
        61.743
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V885" name="B7_q10" files="F28" dcml="0" intrvl="contin">
      <location StartPos="91" EndPos="97" width="7" RecSegNo="1"/>
      <labl>
        Assets-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of the assets held by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The transactions during 1.7.02 to the date of survey will be recorded in cols. (5) to (8).  The information on acquisition will be recorded in cols. (5) and (6), while that of disposal in cols. (7) and (8).  The acquisition will mean addition to stock by way of purchase, birth, gift, otherwise acquired etc. and disposal will mean depletion of stock and will include sale, deaths, loss, gift, etc.  The information in respect of number will be recorded in cols. (5) and (7) for acquisition and disposal respectively and that of value will be entered in cols 6 and 8 for acquisition and disposal respectively.  It may be mentioned that in the case of death of a livestock acquired prior to the reference period, i.e. before to 1.7.02, the value of the livestock to be recorded in col.(8) will be the price that the livestock would have fetched had it been sold prior to its death.  The entries in cols. (9) and (10) will be obtained by derivation of figure in cols. (3) to (8) in the following way.

(i)    col. (9)   = col. (3) + col. (7) - col. (5)
(ii)   col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="4260000"/>
      </valrng>
      <sumStat type="vald">
        279990
      </sumStat>
      <sumStat type="invd">
        13882
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4260000
      </sumStat>
      <sumStat type="mean">
        6250.267
      </sumStat>
      <sumStat type="stdev">
        18234.027
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V886" name="NSS" files="F28" intrvl="discrete">
      <location StartPos="98" EndPos="99" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V887" name="NSC" files="F28" intrvl="discrete">
      <location StartPos="100" EndPos="102" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V888" name="MLT" files="F28" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="111" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="217338.4"/>
      </valrng>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        217338.4
      </sumStat>
      <sumStat type="mean">
        2961.861
      </sumStat>
      <sumStat type="stdev">
        4023.404
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V891" name="Weight" wgt="wgt" files="F28" dcml="2" intrvl="contin">
      <location StartPos="112" EndPos="118" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="1086.692"/>
      </valrng>
      <sumStat type="vald">
        293872
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        1086.692
      </sumStat>
      <sumStat type="mean">
        14.887
      </sumStat>
      <sumStat type="stdev">
        20.563
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V921" name="HHID" files="F29" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V892" name="CentreCodeRndShift" files="F29" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V893" name="Vill_Blk_Slno" files="F29" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V894" name="Round" files="F29" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          245329
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V895" name="Schedule" files="F29" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          245329
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V896" name="Sample" files="F29" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          245329
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V897" name="Sector" files="F29" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          222995
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          22334
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V898" name="State_Region" files="F29" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V922" name="State" files="F29" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          7304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          5829
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          6186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          4603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          13097
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          33869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          19129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          2250
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          6777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          3440
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          3979
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          4329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          12711
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          16063
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          6793
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          8890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          5106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          14340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          6566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          598
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          15780
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          12018
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          10462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          6957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          10777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V899" name="District" files="F29" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V900" name="Stratum" files="F29" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V901" name="SubRound" files="F29" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          122028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          123301
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V902" name="SubSample" files="F29" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          123372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          121957
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V903" name="FOD_SubRegion" files="F29" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V904" name="HG_SubBlkNo" files="F29" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V905" name="Second_Stratum" files="F29" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V906" name="Visit_no" files="F29" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          245329
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V907" name="Hhold_no" files="F29" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V908" name="Level" files="F29" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          08
        </catValu>
        <catStat type="freq">
          245329
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V909" name="B8_q1" files="F29" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          sickle, axe, spade &amp; chopper
        </labl>
        <catStat type="freq">
          77488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[plough (wooden /  iron)]]></labl>
        <catStat type="freq">
          24131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          harrow, seed-drill, sprayer &amp; duster, chaff-cutter
        </labl>
        <catStat type="freq">
          15315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          power tiller
        </labl>
        <catStat type="freq">
          549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          tractor (excluding trolly)
        </labl>
        <catStat type="freq">
          1947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          thresher
        </labl>
        <catStat type="freq">
          3593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          combined harvester
        </labl>
        <catStat type="freq">
          370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[canecrusher-  power operated ]]></labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          canecrusher- others
        </labl>
        <catStat type="freq">
          131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          oil crusher-power operated
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          oil crusher- others
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          pump-electric
        </labl>
        <catStat type="freq">
          5819
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          pump- others
        </labl>
        <catStat type="freq">
          5201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          other water lifting equipment (viz. persian wheel, dhenki, etc.)
        </labl>
        <catStat type="freq">
          2005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          furniture and fixtures
        </labl>
        <catStat type="freq">
          7487
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          22304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          total (items 1 to 16)
        </labl>
        <catStat type="freq">
          78878
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V910" name="B8_q3" files="F29" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="53" width="4" RecSegNo="1"/>
      <labl>
        Owned-Number
      </labl>
      <qstn>
        <qstnLit>
          How many agricultural machinery / equipments are owned by the household?
        </qstnLit>
        <ivuInstr>
          For each item specified in col. (2), number of implements owned on the date of survey will be recorded in col. (3).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1200"/>
      </valrng>
      <sumStat type="vald">
        134337
      </sumStat>
      <sumStat type="invd">
        110992
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1200
      </sumStat>
      <sumStat type="mean">
        4.17
      </sumStat>
      <sumStat type="stdev">
        6.242
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V911" name="B8_q4" files="F29" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="60" width="7" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of agricultural machinery / equipments that are owned by the household?
        </qstnLit>
        <ivuInstr>
          Value of each of the implements owned has to be ascertained separately as per the procedure laid down in paras 4 0.7 and 4.0.8 and the total value of all the assets reported in col. (3) against an item will be recorded in col. (4).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1716660"/>
      </valrng>
      <sumStat type="vald">
        245235
      </sumStat>
      <sumStat type="invd">
        94
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1716660
      </sumStat>
      <sumStat type="mean">
        4475.075
      </sumStat>
      <sumStat type="stdev">
        26847.887
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V912" name="B8_q5" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="63" width="3" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-Number
      </labl>
      <qstn>
        <qstnLit>
          How many agricultural machinery / equipments are acquired by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The particulars of transaction of an item specified in col.(2) will be recorded in cols.(5) and (6), if it is acquired during 1.7.02 to date of survey and in cols.(7) and (8), if any disposal takes places during the said reference period.  An asset may be acquired by way of purchase, construction, and gift or otherwise.  An asset may be disposed of by way of sale, loss, gift, discarding or otherwise.  In case, an asset is acquired and disposed of during the reference period, the same entries are to be made both under acquisition and disposal.  The number of an item of asset acquired will be entered in col. (5) and that disposed of in col. (7).  The values of the respective assets as ascertained in accordance to paras 4.0.7 and 4.0.8 will be recorded in cols. (6) and (8) for acquisition and disposal respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="100"/>
      </valrng>
      <sumStat type="vald">
        7749
      </sumStat>
      <sumStat type="invd">
        237580
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3581
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          2414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          237580
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V913" name="B8_q6" files="F29" dcml="0" intrvl="contin">
      <location StartPos="64" EndPos="69" width="6" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of agricultural machinery / equipments that are acquired by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The particulars of transaction of an item specified in col.(2) will be recorded in cols.(5) and (6), if it is acquired during 1.7.02 to date of survey and in cols.(7) and (8), if any disposal takes places during the said reference period.  An asset may be acquired by way of purchase, construction, and gift or otherwise.  An asset may be disposed of by way of sale, loss, gift, discarding or otherwise.  In case, an asset is acquired and disposed of during the reference period, the same entries are to be made both under acquisition and disposal.  The number of an item of asset acquired will be entered in col. (5) and that disposed of in col. (7).  The values of the respective assets as ascertained in accordance to paras 4.0.7 and 4.0.8 will be recorded in cols. (6) and (8) for acquisition and disposal respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="650050"/>
      </valrng>
      <sumStat type="vald">
        16388
      </sumStat>
      <sumStat type="invd">
        228941
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        650050
      </sumStat>
      <sumStat type="mean">
        3946.543
      </sumStat>
      <sumStat type="stdev">
        29393.063
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V914" name="B8_q7" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="71" width="2" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-Number
      </labl>
      <qstn>
        <qstnLit>
          How many agricultural machinery / equipments are disposed of by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The particulars of transaction of an item specified in col.(2) will be recorded in cols.(5) and (6), if it is acquired during 1.7.02 to date of survey and in cols.(7) and (8), if any disposal takes places during the said reference period.  An asset may be acquired by way of purchase, construction, and gift or otherwise.  An asset may be disposed of by way of sale, loss, gift, discarding or otherwise.  In case, an asset is acquired and disposed of during the reference period, the same entries are to be made both under acquisition and disposal.  The number of an item of asset acquired will be entered in col. (5) and that disposed of in col. (7).  The values of the respective assets as ascertained in accordance to paras 4.0.7 and 4.0.8 will be recorded in cols. (6) and (8) for acquisition and disposal respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="80"/>
      </valrng>
      <sumStat type="vald">
        2123
      </sumStat>
      <sumStat type="invd">
        243206
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          243206
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V915" name="B8_q8" files="F29" dcml="0" intrvl="contin">
      <location StartPos="72" EndPos="77" width="6" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of agricultural machinery / equipments that are disposed of by the household?
        </qstnLit>
        <ivuInstr><![CDATA[The particulars of transaction of an item specified in col.(2) will be recorded in cols.(5) and (6), if it is acquired during 1.7.02 to date of survey and in cols.(7) and (8), if any disposal takes places during the said reference period.  An asset may be acquired by way of purchase, construction, and gift or otherwise.  An asset may be disposed of by way of sale, loss, gift, discarding or otherwise.  In case, an asset is acquired and disposed of during the reference period, the same entries are to be made both under acquisition and disposal.  The number of an item of asset acquired will be entered in col. (5) and that disposed of in col. (7).  The values of the respective assets as ascertained in accordance to paras 4.0.7 and 4.0.8 will be recorded in cols. (6) and (8) for acquisition and disposal respectively.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="200000"/>
      </valrng>
      <sumStat type="vald">
        4770
      </sumStat>
      <sumStat type="invd">
        240559
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        200000
      </sumStat>
      <sumStat type="mean">
        1372.363
      </sumStat>
      <sumStat type="stdev">
        10638.277
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V916" name="B8_q9" files="F29" dcml="0" intrvl="contin">
      <location StartPos="78" EndPos="81" width="4" RecSegNo="1"/>
      <labl>
        Assets owned-Number
      </labl>
      <qstn>
        <qstnLit>
          How many total assets are owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Agricultutal machinery and implements owned by the household as on 30.6.02 will be obtained from the entries made in cols. (3) to (8). The entries for cols (9) and col. (10) are derived from col. (3) to col. (8) as given below:

(i)    col. (9)   = col. (3) - col. (5) + col. (7)
(ii)   col. (10) = col. (4) - col. (6) + col. (8)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1200"/>
      </valrng>
      <sumStat type="vald">
        133764
      </sumStat>
      <sumStat type="invd">
        111565
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1200
      </sumStat>
      <sumStat type="mean">
        4.101
      </sumStat>
      <sumStat type="stdev">
        6.14
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V917" name="B8_q10" files="F29" dcml="0" intrvl="contin">
      <location StartPos="82" EndPos="88" width="7" RecSegNo="1"/>
      <labl>
        Assets owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of total assets are owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[Agricultutal machinery and implements owned by the household as on 30.6.02 will be obtained from the entries made in cols. (3) to (8). The entries for cols (9) and col. (10) are derived from col. (3) to col. (8) as given below:

(i)    col. (9)   = col. (3) - col. (5) + col. (7)
(ii)   col. (10) = col. (4) - col. (6) + col. (8)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1716660"/>
      </valrng>
      <sumStat type="vald">
        244453
      </sumStat>
      <sumStat type="invd">
        876
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1716660
      </sumStat>
      <sumStat type="mean">
        4251.595
      </sumStat>
      <sumStat type="stdev">
        25650.892
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V918" name="NSS" files="F29" intrvl="discrete">
      <location StartPos="89" EndPos="90" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V919" name="NSC" files="F29" intrvl="discrete">
      <location StartPos="91" EndPos="93" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V920" name="MLT" files="F29" dcml="2" intrvl="contin">
      <location StartPos="94" EndPos="102" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="561457.54"/>
      </valrng>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        561457.54
      </sumStat>
      <sumStat type="mean">
        3101.053
      </sumStat>
      <sumStat type="stdev">
        4792.347
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V923" name="Weight" wgt="wgt" files="F29" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="109" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="2807.2877"/>
      </valrng>
      <sumStat type="vald">
        245329
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        2807.288
      </sumStat>
      <sumStat type="mean">
        15.583
      </sumStat>
      <sumStat type="stdev">
        24.365
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V953" name="HHID" files="F30" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V924" name="CentreCodeRndShift" files="F30" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V925" name="Vill_Blk_Slno" files="F30" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V926" name="Round" files="F30" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          92223
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V927" name="Schedule" files="F30" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          92223
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V928" name="Sample" files="F30" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          92223
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V929" name="Sector" files="F30" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          44258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          47965
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V930" name="State_Region" files="F30" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V954" name="State" files="F30" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          2093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1570
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          3545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1893
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          1755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          4285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          11825
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          4820
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          3350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          490
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1021
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          8479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          1331
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          2208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          4110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          3775
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          7989
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          5477
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          3678
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          3107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          7050
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          181
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V931" name="District" files="F30" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V932" name="Stratum" files="F30" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V933" name="SubRound" files="F30" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          46064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          46159
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V934" name="SubSample" files="F30" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          46342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          45881
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V935" name="FOD_SubRegion" files="F30" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V936" name="HG_SubBlkNo" files="F30" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V937" name="Second_Stratum" files="F30" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V938" name="Visit_no" files="F30" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          92223
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V939" name="Hhold_no" files="F30" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V940" name="Level" files="F30" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          09
        </catValu>
        <catStat type="freq">
          92223
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V941" name="B9_q1" files="F30" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          handloom, semi-automatic and power looms
        </labl>
        <catStat type="freq">
          1125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          ginning, pressing and balling equipment
        </labl>
        <catStat type="freq">
          349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[reeds, bobins and other accessories used in spinning and weaving and tailoring equipments (viz.  sewing machine etc.)]]></labl>
        <catStat type="freq">
          2633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[mills (viz.  ghanies, oil-mills (power-driven), rice-milling and pounding equipment, flour-milling and grinding equipment)]]></labl>
        <catStat type="freq">
          593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          electric motors, oil engines, generators, pumpsets
        </labl>
        <catStat type="freq">
          714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[casting,  melting and welding equipments, furnace, bellows and other equipments used in smithy shop]]></labl>
        <catStat type="freq">
          547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          saws ( manually operated)
        </labl>
        <catStat type="freq">
          1013
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[saws (  power-driven)]]></labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          musical instruments
        </labl>
        <catStat type="freq">
          233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Kilns
        </labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          potter’s wheels, scales, weights and measures
        </labl>
        <catStat type="freq">
          3815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          xerox machine, printing press, personal computer, duplicating machine, fax machine
        </labl>
        <catStat type="freq">
          329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          ISD/STD/PCO equipments
        </labl>
        <catStat type="freq">
          564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          X- ray machine, other medical equipments
        </labl>
        <catStat type="freq">
          264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Ultrasound equipments
        </labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          lathes, other machinery tools &amp; appliances
        </labl>
        <catStat type="freq">
          2941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          intangible assets like software, artistic originals, manuscripts etc.
        </labl>
        <catStat type="freq">
          234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          total machinery tools &amp; appliances (items 1-17)
        </labl>
        <catStat type="freq">
          11483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          16585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          other non-farm business equipment
        </labl>
        <catStat type="freq">
          19439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          total (items 18+19+20)
        </labl>
        <catStat type="freq">
          29012
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V942" name="B9_q3" files="F30" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="53" width="4" RecSegNo="1"/>
      <labl>
        Owned-No.
      </labl>
      <qstn>
        <qstnLit>
          How many non-farm business equipments are owned by the household?
        </qstnLit>
        <ivuInstr>
          The equipments described in col.(2) of the block and owned by the sample household will be recorded in this block, irrespective of its use i.e whether it is for use in the non-farm business of the household or for hiring out. The number and the value of the household's share of equipments used exclusively for non-farm business on the date of survey will be entered in whole number and in rupees respectively in cols.(3) and (4).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3000"/>
      </valrng>
      <sumStat type="vald">
        15080
      </sumStat>
      <sumStat type="invd">
        77143
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000
      </sumStat>
      <sumStat type="mean">
        6.276
      </sumStat>
      <sumStat type="stdev">
        34.805
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V943" name="B9_q4" files="F30" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="61" width="8" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the current value of non-farm business equipments owned by the household?
        </qstnLit>
        <ivuInstr>
          The equipments described in col.(2) of the block and owned by the sample household will be recorded in this block, irrespective of its use i.e whether it is for use in the non-farm business of the household or for hiring out. The number and the value of the household's share of equipments used exclusively for non-farm business on the date of survey will be entered in whole number and in rupees respectively in cols.(3) and (4).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="21540000"/>
      </valrng>
      <sumStat type="vald">
        91912
      </sumStat>
      <sumStat type="invd">
        311
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        21540000
      </sumStat>
      <sumStat type="mean">
        11843.003
      </sumStat>
      <sumStat type="stdev">
        147404.382
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V944" name="B9_q5" files="F30" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="66" width="5" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-No.
      </labl>
      <qstn>
        <qstnLit>
          How many non-farm business equipments are acquired by the household?
        </qstnLit>
        <ivuInstr>
          The acquisition of assets listed in col. 2 during the reference period by way of purchase, construction and improvement or otherwise (by way of gifts etc.) will be entered in cols. (5) and (6) in terms of number and value respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15000"/>
      </valrng>
      <sumStat type="vald">
        808
      </sumStat>
      <sumStat type="invd">
        91415
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15000
      </sumStat>
      <sumStat type="mean">
        22.558
      </sumStat>
      <sumStat type="stdev">
        527.657
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V945" name="B9_q6" files="F30" dcml="0" intrvl="contin">
      <location StartPos="67" EndPos="72" width="6" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of non-farm business equipments acquired by the household?
        </qstnLit>
        <ivuInstr>
          The acquisition of assets listed in col. 2 during the reference period by way of purchase, construction and improvement or otherwise (by way of gifts etc.) will be entered in cols. (5) and (6) in terms of number and value respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="900000"/>
      </valrng>
      <sumStat type="vald">
        5457
      </sumStat>
      <sumStat type="invd">
        86766
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        900000
      </sumStat>
      <sumStat type="mean">
        7295.262
      </sumStat>
      <sumStat type="stdev">
        36899.807
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V946" name="B9_q7" files="F30" dcml="0" intrvl="contin">
      <location StartPos="73" EndPos="77" width="5" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-No.
      </labl>
      <qstn>
        <qstnLit>
          How many non-farm business equipments are disposed of by the household?
        </qstnLit>
        <ivuInstr>
          Similarly, the number and value of assets disposed of by way of sale, discarded or gift etc., will be recorded in cols.(7) and (8) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15000"/>
      </valrng>
      <sumStat type="vald">
        254
      </sumStat>
      <sumStat type="invd">
        91969
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15000
      </sumStat>
      <sumStat type="mean">
        64.043
      </sumStat>
      <sumStat type="stdev">
        941.004
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V947" name="B9_q8" files="F30" dcml="0" intrvl="contin">
      <location StartPos="78" EndPos="84" width="7" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of non-farm business equipments disposed of by the household?
        </qstnLit>
        <ivuInstr>
          Similarly, the number and value of assets disposed of by way of sale, discarded or gift etc., will be recorded in cols.(7) and (8) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1000000"/>
      </valrng>
      <sumStat type="vald">
        1735
      </sumStat>
      <sumStat type="invd">
        90488
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1000000
      </sumStat>
      <sumStat type="mean">
        7342.209
      </sumStat>
      <sumStat type="stdev">
        55209.045
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V948" name="B9_q9" files="F30" dcml="0" intrvl="contin">
      <location StartPos="85" EndPos="88" width="4" RecSegNo="1"/>
      <labl>
        Owned-No.
      </labl>
      <qstn>
        <qstnLit>
          How many total non-farm business equipments are owned by the household?
        </qstnLit>
        <ivuInstr>
          Value of non-farm business equipment owned by household as on 30.06.02 will be obtained from cols 3 to 8 and will be recorded in cols 9 and 10 respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3000"/>
      </valrng>
      <sumStat type="vald">
        14881
      </sumStat>
      <sumStat type="invd">
        77342
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000
      </sumStat>
      <sumStat type="mean">
        6.228
      </sumStat>
      <sumStat type="stdev">
        34.852
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V949" name="B9_q10" files="F30" dcml="0" intrvl="contin">
      <location StartPos="89" EndPos="96" width="8" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the total value of non-farm business equipments owned by the household?
        </qstnLit>
        <ivuInstr>
          Value of non-farm business equipment owned by household as on 30.06.02 will be obtained from cols 3 to 8 and will be recorded in cols 9 and 10 respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="21480000"/>
      </valrng>
      <sumStat type="vald">
        90903
      </sumStat>
      <sumStat type="invd">
        1320
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        21480000
      </sumStat>
      <sumStat type="mean">
        11676.65
      </sumStat>
      <sumStat type="stdev">
        147177.101
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V950" name="NSS" files="F30" intrvl="discrete">
      <location StartPos="97" EndPos="98" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V951" name="NSC" files="F30" intrvl="discrete">
      <location StartPos="99" EndPos="101" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V952" name="MLT" files="F30" dcml="2" intrvl="contin">
      <location StartPos="102" EndPos="110" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="135099.45"/>
      </valrng>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        135099.45
      </sumStat>
      <sumStat type="mean">
        2541.051
      </sumStat>
      <sumStat type="stdev">
        4115.948
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V955" name="Weight" wgt="wgt" files="F30" dcml="2" intrvl="contin">
      <location StartPos="111" EndPos="116" width="6" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="675.49725"/>
      </valrng>
      <sumStat type="vald">
        92223
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        675.497
      </sumStat>
      <sumStat type="mean">
        12.795
      </sumStat>
      <sumStat type="stdev">
        21.291
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V986" name="HHID" files="F31" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V956" name="CentreCodeRndShift" files="F31" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V957" name="Vill_Blk_Slno" files="F31" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V958" name="Round" files="F31" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          160717
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V959" name="Schedule" files="F31" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          160717
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V960" name="Sample" files="F31" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          160717
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V961" name="Sector" files="F31" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          95451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          65266
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V962" name="State_Region" files="F31" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V987" name="State" files="F31" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1021
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          7409
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          1035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          3947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          6953
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          24178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          7950
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          213
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          3210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          378
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          847
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          6272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          14647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          5144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          5433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          4302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          8976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          6284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          11914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          8114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          5527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          4087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          12196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          913
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          422
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V963" name="District" files="F31" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V964" name="Stratum" files="F31" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V965" name="SubRound" files="F31" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          80039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          80678
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V966" name="SubSample" files="F31" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          79846
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          80871
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V967" name="FOD_SubRegion" files="F31" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V968" name="HG_SubBlkNo" files="F31" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V969" name="Second_Stratum" files="F31" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V970" name="Visit_no" files="F31" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          160717
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V971" name="Hhold_no" files="F31" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V972" name="Level" files="F31" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          160717
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V973" name="B10_q1" files="F31" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          carts (hand-driven / animal driven)
        </labl>
        <catStat type="freq">
          6131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          bicycles
        </labl>
        <catStat type="freq">
          58333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          rickshaws
        </labl>
        <catStat type="freq">
          1303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[motor cycles/ scooters/ mopeds/ auto-rickshaws     ]]></labl>
        <catStat type="freq">
          17550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          motor cars/jeep/van
        </labl>
        <catStat type="freq">
          2758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          trucks/light comm. vehicles (LCV)/ passenger buses
        </labl>
        <catStat type="freq">
          518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          tractor-trollies/ trailers/jugads
        </labl>
        <catStat type="freq">
          1187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          boats
        </labl>
        <catStat type="freq">
          254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          other transport equipment
        </labl>
        <catStat type="freq">
          650
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          total ( items 1 to 9)
        </labl>
        <catStat type="freq">
          72033
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V974" name="B10_q3" files="F31" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="54" width="5" RecSegNo="1"/>
      <labl>
        Owned-No.
      </labl>
      <qstn>
        <qstnLit>
          How many transport equipments are owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[This block is to be filled in for visit 1 only. In this block, the number and the value of the household's share of all transport equipments owned on the date of survey will be recorded in cols.(3) and (4) respectively for each of the items listed under col.(2) irrespective of whether the equipments are used in the farm, non-farm or household purposes.  As regards transaction, the procedure for filling in similar columns of block 9 will be followed.  Like non-farm business equipments, transport equipments meant for sale by the household engaged in trading of those articles will not be considered.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="12600"/>
      </valrng>
      <sumStat type="vald">
        87612
      </sumStat>
      <sumStat type="invd">
        73105
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12600
      </sumStat>
      <sumStat type="mean">
        1.347
      </sumStat>
      <sumStat type="stdev">
        44.048
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V975" name="B10_q4" files="F31" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="62" width="8" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of transport equipments owned by the household?
        </qstnLit>
        <ivuInstr><![CDATA[This block is to be filled in for visit 1 only. In this block, the number and the value of the household's share of all transport equipments owned on the date of survey will be recorded in cols.(3) and (4) respectively for each of the items listed under col.(2) irrespective of whether the equipments are used in the farm, non-farm or household purposes.  As regards transaction, the procedure for filling in similar columns of block 9 will be followed.  Like non-farm business equipments, transport equipments meant for sale by the household engaged in trading of those articles will not be considered.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="15750000"/>
      </valrng>
      <sumStat type="vald">
        160130
      </sumStat>
      <sumStat type="invd">
        587
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15750000
      </sumStat>
      <sumStat type="mean">
        16765.368
      </sumStat>
      <sumStat type="stdev">
        110148.365
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V976" name="B10_q5" files="F31" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="64" width="2" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-No.
      </labl>
      <qstn>
        <qstnLit>
          How many transport equipments are acquired by the household?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="10"/>
      </valrng>
      <sumStat type="vald">
        2946
      </sumStat>
      <sumStat type="invd">
        157771
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          157771
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V977" name="B10_q6" files="F31" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="71" width="7" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of transport equipments acquired by the household?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="4242000"/>
      </valrng>
      <sumStat type="vald">
        6093
      </sumStat>
      <sumStat type="invd">
        154624
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4242000
      </sumStat>
      <sumStat type="mean">
        44788.718
      </sumStat>
      <sumStat type="stdev">
        130464.394
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V978" name="B10_q7" files="F31" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="73" width="2" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-No.
      </labl>
      <qstn>
        <qstnLit>
          How many transport equipments are disposed of by the household?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="10"/>
      </valrng>
      <sumStat type="vald">
        604
      </sumStat>
      <sumStat type="invd">
        160113
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          580
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          160113
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V979" name="B10_q8" files="F31" dcml="0" intrvl="contin">
      <location StartPos="74" EndPos="79" width="6" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          For how much the transport equipments were disposed of by the household?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="816000"/>
      </valrng>
      <sumStat type="vald">
        1231
      </sumStat>
      <sumStat type="invd">
        159486
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        816000
      </sumStat>
      <sumStat type="mean">
        20206.148
      </sumStat>
      <sumStat type="stdev">
        62394.104
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V980" name="B10_q9" files="F31" dcml="0" intrvl="contin">
      <location StartPos="80" EndPos="84" width="5" RecSegNo="1"/>
      <labl>
        Owned-No.
      </labl>
      <qstn>
        <qstnLit><![CDATA[How many total  transport equipments are owned by the household?]]></qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="12600"/>
      </valrng>
      <sumStat type="vald">
        85817
      </sumStat>
      <sumStat type="invd">
        74900
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12600
      </sumStat>
      <sumStat type="mean">
        1.347
      </sumStat>
      <sumStat type="stdev">
        44.507
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V981" name="B10_q10" files="F31" dcml="0" intrvl="contin">
      <location StartPos="85" EndPos="92" width="8" RecSegNo="1"/>
      <labl>
        Owned-Value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the total value of transport equipments owned by the household?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="15750000"/>
      </valrng>
      <sumStat type="vald">
        157290
      </sumStat>
      <sumStat type="invd">
        3427
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15750000
      </sumStat>
      <sumStat type="mean">
        15491.223
      </sumStat>
      <sumStat type="stdev">
        107216.911
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V982" name="B10_q11" files="F31" intrvl="discrete">
      <location StartPos="93" EndPos="107" width="15" RecSegNo="1"/>
      <labl>
        Main use of transport equipment
      </labl>
      <qstn>
        <qstnLit>
          What is the main use of transport equipment?
        </qstnLit>
        <ivuInstr><![CDATA[The main use of the transport equipments owned by the household on 30.6.02 will be recorded in code numbers as given below:

for farm business .........	1
for non-farm business  ...	2
for household use  .......	3

If an equipment is used for more than one purpose, the main use has to be determined on the basis of the time utilisation of the said equipment during last 365 days.  If the number of an item of transport equipments owned by the household on 30.6.02 is two or more the particulars of main use have to be entered in col.(11) with comma (,) in between.  For example, if the household owned three bicycles on 30.6.02, one of which was used for the household purpose and two for non-farm business, then the entry in col. (11) would be  3, 2, 2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        85751
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          for farm business
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          for non-farm business
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          for household use
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V983" name="NSS" files="F31" intrvl="discrete">
      <location StartPos="108" EndPos="109" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V984" name="NSC" files="F31" intrvl="discrete">
      <location StartPos="110" EndPos="112" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V985" name="MLT" files="F31" dcml="2" intrvl="contin">
      <location StartPos="113" EndPos="121" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="258943.12"/>
      </valrng>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        258943.12
      </sumStat>
      <sumStat type="mean">
        2975.551
      </sumStat>
      <sumStat type="stdev">
        4570.257
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V988" name="Weight" wgt="wgt" files="F31" dcml="2" intrvl="contin">
      <location StartPos="122" EndPos="128" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="1294.7156"/>
      </valrng>
      <sumStat type="vald">
        160717
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        1294.716
      </sumStat>
      <sumStat type="mean">
        14.956
      </sumStat>
      <sumStat type="stdev">
        23.41
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1018" name="HHID" files="F32" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V989" name="CentreCodeRndShift" files="F32" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V990" name="Vill_Blk_Slno" files="F32" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V991" name="Round" files="F32" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          2228367
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V992" name="Schedule" files="F32" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          2228367
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V993" name="Sample" files="F32" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2228367
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V994" name="Sector" files="F32" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          1290776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          937591
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V995" name="State_Region" files="F32" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1019" name="State" files="F32" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          43342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          40631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          77129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          6503
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          17840
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          44392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          48314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          103067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          231788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          115604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          20649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          14663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          16372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          44710
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          33136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          33374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          31574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          76280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          163486
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          47044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          53261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          35457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          97237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          84352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          4528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          5694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          191304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          134360
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          95539
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          7307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          3918
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          105281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          178179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          11165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          10887
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V996" name="District" files="F32" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V997" name="Stratum" files="F32" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V998" name="SubRound" files="F32" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1099351
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          1129016
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V999" name="SubSample" files="F32" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          1111306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          1117061
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1000" name="FOD_SubRegion" files="F32" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1001" name="HG_SubBlkNo" files="F32" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1002" name="Second_Stratum" files="F32" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1003" name="Visit_no" files="F32" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1090139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          1138228
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1004" name="Hhold_no" files="F32" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1005" name="Level" files="F32" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          2228367
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1006" name="B11_q1" files="F32" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          bedstead
        </labl>
        <catStat type="freq">
          241876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          steel / wooden almirah / dressing table
        </labl>
        <catStat type="freq">
          116140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          other furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          188423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl><![CDATA[radio, record player/tape recorder/stereo/  musical instruments for household use ]]></labl>
        <catStat type="freq">
          103753
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          television, VCR/VCP/VCD, DVD Player, home theatre, multimedia PC
        </labl>
        <catStat type="freq">
          112950
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          other goods for recreation , entertainment and hobby
        </labl>
        <catStat type="freq">
          14196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          pressure cooker/ household utensils
        </labl>
        <catStat type="freq">
          267279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          gas/electric oven/cooking range/ microwave oven
        </labl>
        <catStat type="freq">
          77903
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          electric fan, clock/ watch, water filter / electric iron/ sewing machine
        </labl>
        <catStat type="freq">
          202216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          refrigerator/ air cooler/ air conditioner/ washing machine
        </labl>
        <catStat type="freq">
          40702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          other cooking and household appliances
        </labl>
        <catStat type="freq">
          160140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          therapeutic appliances and other personal goods
        </labl>
        <catStat type="freq">
          15758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[bullions & ornaments  ]]></labl>
        <catStat type="freq">
          224900
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[ other durables  ]]></labl>
        <catStat type="freq">
          184701
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          total (items 1 to 14)
        </labl>
        <catStat type="freq">
          277430
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1007" name="B11_q3" files="F32" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="54" width="5" RecSegNo="1"/>
      <labl>
        Owned as on date of survey-No.
      </labl>
      <qstn>
        <qstnLit>
          How many durable assets are owned by the household on the date of survey?
        </qstnLit>
        <ivuInstr>
          The number and value of all the household durable goods owned by the household on the date of survey will be recorded in whole numbers in cols. (3) and (4) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="55120"/>
      </valrng>
      <sumStat type="vald">
        1146832
      </sumStat>
      <sumStat type="invd">
        1081535
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        55120
      </sumStat>
      <sumStat type="mean">
        8.732
      </sumStat>
      <sumStat type="stdev">
        58.555
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1008" name="B11_q4" files="F32" dcml="0" intrvl="contin">
      <location StartPos="55" EndPos="61" width="7" RecSegNo="1"/>
      <labl>
        Owned as on date of survey-Value
      </labl>
      <qstn>
        <qstnLit>
          What is the value of durable assets are owned by the household on the date of survey?
        </qstnLit>
        <ivuInstr>
          The number and value of all the household durable goods owned by the household on the date of survey will be recorded in whole numbers in cols. (3) and (4) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="8475000"/>
      </valrng>
      <sumStat type="vald">
        2226848
      </sumStat>
      <sumStat type="invd">
        1519
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8475000
      </sumStat>
      <sumStat type="mean">
        5621.635
      </sumStat>
      <sumStat type="stdev">
        19458.957
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1009" name="B11_q5" files="F32" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="66" width="5" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-No.
      </labl>
      <qstn>
        <qstnLit>
          How many durable assets are acquired by the household?
        </qstnLit>
        <ivuInstr>
          While any acquisition during 1.7.02 to date of survey will be recorded in cols (5) and (6) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="13000"/>
      </valrng>
      <sumStat type="vald">
        49050
      </sumStat>
      <sumStat type="invd">
        2179317
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        13000
      </sumStat>
      <sumStat type="mean">
        3.96
      </sumStat>
      <sumStat type="stdev">
        90.746
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1010" name="B11_q6" files="F32" dcml="0" intrvl="contin">
      <location StartPos="67" EndPos="74" width="8" RecSegNo="1"/>
      <labl>
        Transactions -Acquisition-Value
      </labl>
      <qstn>
        <qstnLit>
          What is the value of durable assets are acquired by the household on the date of survey?
        </qstnLit>
        <ivuInstr>
          While any acquisition during 1.7.02 to date of survey will be recorded in cols (5) and (6) respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="97501100"/>
      </valrng>
      <sumStat type="vald">
        133901
      </sumStat>
      <sumStat type="invd">
        2094466
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        97501100
      </sumStat>
      <sumStat type="mean">
        3404.149
      </sumStat>
      <sumStat type="stdev">
        393041.783
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1011" name="B11_q7" files="F32" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="79" width="5" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-No.
      </labl>
      <qstn>
        <qstnLit>
          How many durable assets were disposed of by the household?
        </qstnLit>
        <ivuInstr>
          Number and value of the assets, the disposed during the said reference period will be noted in cols. (7) and (8).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="13000"/>
      </valrng>
      <sumStat type="vald">
        7826
      </sumStat>
      <sumStat type="invd">
        2220541
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        13000
      </sumStat>
      <sumStat type="mean">
        9.187
      </sumStat>
      <sumStat type="stdev">
        226.972
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1012" name="B11_q8" files="F32" dcml="0" intrvl="contin">
      <location StartPos="80" EndPos="87" width="8" RecSegNo="1"/>
      <labl>
        Transactions -Disposal-Value
      </labl>
      <qstn>
        <qstnLit>
          For how much the durable assets were disposed of by the household?
        </qstnLit>
        <ivuInstr>
          Number and value of the assets, the disposed during the said reference period will be noted in cols. (7) and (8).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="97500000"/>
      </valrng>
      <sumStat type="vald">
        23970
      </sumStat>
      <sumStat type="invd">
        2204397
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        97500000
      </sumStat>
      <sumStat type="mean">
        12627.559
      </sumStat>
      <sumStat type="stdev">
        928822.593
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1013" name="B11_q9" files="F32" dcml="0" intrvl="contin">
      <location StartPos="88" EndPos="92" width="5" RecSegNo="1"/>
      <labl>
        Owned as on 30-06-2002-No.
      </labl>
      <qstn>
        <qstnLit>
          How many durable assets are owned by the household on 30 th June 2002?
        </qstnLit>
        <ivuInstr><![CDATA[The number and value of durable assets owned by the household on 30.6.02/30.06.03   will be recorded in cols. (9) and (10) respectively.  The figures will be derived as follows:

col. (9) = col. (3) + col. (7) - col. (5)
col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="55120"/>
      </valrng>
      <sumStat type="vald">
        1139631
      </sumStat>
      <sumStat type="invd">
        1088736
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        55120
      </sumStat>
      <sumStat type="mean">
        8.679
      </sumStat>
      <sumStat type="stdev">
        58.67
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1014" name="B11_q10" files="F32" dcml="0" intrvl="contin">
      <location StartPos="93" EndPos="99" width="7" RecSegNo="1"/>
      <labl>
        Owned as on 30-06-2002-Value
      </labl>
      <qstn>
        <qstnLit>
          What is the total value of durable assets are owned by the household on 30th June 2002?
        </qstnLit>
        <ivuInstr><![CDATA[The number and value of durable assets owned by the household on 30.6.02/30.06.03   will be recorded in cols. (9) and (10) respectively.  The figures will be derived as follows:

col. (9) = col. (3) + col. (7) - col. (5)
col. (10) = col. (4) + col. (8) - col. (6)]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="8350000"/>
      </valrng>
      <sumStat type="vald">
        2213356
      </sumStat>
      <sumStat type="invd">
        15011
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8350000
      </sumStat>
      <sumStat type="mean">
        5586.716
      </sumStat>
      <sumStat type="stdev">
        19264.181
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1015" name="NSS" files="F32" intrvl="discrete">
      <location StartPos="100" EndPos="101" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1016" name="NSC" files="F32" intrvl="discrete">
      <location StartPos="102" EndPos="104" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1017" name="MLT" files="F32" dcml="2" intrvl="contin">
      <location StartPos="105" EndPos="113" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="561457.54"/>
      </valrng>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        561457.54
      </sumStat>
      <sumStat type="mean">
        2799.627
      </sumStat>
      <sumStat type="stdev">
        4923.921
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1020" name="Weight" wgt="wgt" files="F32" dcml="2" intrvl="contin">
      <location StartPos="114" EndPos="120" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="2807.2877"/>
      </valrng>
      <sumStat type="vald">
        2228367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        2807.288
      </sumStat>
      <sumStat type="mean">
        14.09
      </sumStat>
      <sumStat type="stdev">
        25.576
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1046" name="HHID" files="F33" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1021" name="CentreCodeRndShift" files="F33" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1022" name="Vill_Blk_Slno" files="F33" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1023" name="Round" files="F33" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          19843
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1024" name="Schedule" files="F33" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          19843
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1025" name="Sample" files="F33" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          19843
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1026" name="Sector" files="F33" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          12139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          7704
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1027" name="State_Region" files="F33" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1047" name="State" files="F33" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          386
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          1573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          6336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          1592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          3563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          1484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1028" name="District" files="F33" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1029" name="Stratum" files="F33" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1030" name="SubRound" files="F33" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          10201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          9642
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1031" name="SubSample" files="F33" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          9788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          10055
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1032" name="FOD_SubRegion" files="F33" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1033" name="HG_SubBlkNo" files="F33" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1034" name="Second_Stratum" files="F33" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1035" name="Visit_no" files="F33" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          19841
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1036" name="Hhold_no" files="F33" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1037" name="Level" files="F33" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          19843
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1038" name="B12_q1" files="F33" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          co-operative credit society/ bank
        </labl>
        <catStat type="freq">
          7622
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          co-operative non credit society
        </labl>
        <catStat type="freq">
          822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          commercial bank
        </labl>
        <catStat type="freq">
          726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          financial company
        </labl>
        <catStat type="freq">
          157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          non-financial company
        </labl>
        <catStat type="freq">
          326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          mutual funds
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          409
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          total ( items 1 to7)
        </labl>
        <catStat type="freq">
          9653
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1039" name="B12_q3" files="F33" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="56" width="7" RecSegNo="1"/>
      <labl>
        Value as on the date of survey (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What is the value of shares & debentures owned by the household in co operative societies & companies as on the date  of  survey?]]></qstnLit>
        <ivuInstr><![CDATA[The ownership on the date of survey and disposal and acquisition during 1.7.02 to date of survey of financial assets listed in col. (2) will be collected in cols. (3), (4) and (5) respectively.  The value of these assets owned by the household as on 30.6.02 will be worked out in the following way:

col. (6) = col. (3) + col. (5) - col. (4)]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="5147500"/>
      </valrng>
      <sumStat type="vald">
        19805
      </sumStat>
      <sumStat type="invd">
        38
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5147500
      </sumStat>
      <sumStat type="mean">
        8601.76
      </sumStat>
      <sumStat type="stdev">
        82345.624
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1040" name="B12_q4" files="F33" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="63" width="7" RecSegNo="1"/>
      <labl>
        Value of transactions-Acquisition (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What is the value of shares & debentures acquired by the household in co operative societies & companies as on the date  of  survey?]]></qstnLit>
        <ivuInstr><![CDATA[The ownership on the date of survey and disposal and acquisition during 1.7.02 to date of survey of financial assets listed in col. (2) will be collected in cols. (3), (4) and (5) respectively.  The value of these assets owned by the household as on 30.6.02 will be worked out in the following way:

col. (6) = col. (3) + col. (5) - col. (4)]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="5" max="1500000"/>
      </valrng>
      <sumStat type="vald">
        2522
      </sumStat>
      <sumStat type="invd">
        17321
      </sumStat>
      <sumStat type="min">
        5
      </sumStat>
      <sumStat type="max">
        1500000
      </sumStat>
      <sumStat type="mean">
        5642.988
      </sumStat>
      <sumStat type="stdev">
        45058.591
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1041" name="B12_q5" files="F33" dcml="0" intrvl="contin">
      <location StartPos="64" EndPos="70" width="7" RecSegNo="1"/>
      <labl>
        Value of transactions-Disposal (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[For how much the shares & debentures were disposed of by the household in co operative societies & companies as on the date  of  survey?]]></qstnLit>
        <ivuInstr><![CDATA[The ownership on the date of survey and disposal and acquisition during 1.7.02 to date of survey of financial assets listed in col. (2) will be collected in cols. (3), (4) and (5) respectively.  The value of these assets owned by the household as on 30.6.02 will be worked out in the following way:

col. (6) = col. (3) + col. (5) - col. (4)]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2850000"/>
      </valrng>
      <sumStat type="vald">
        406
      </sumStat>
      <sumStat type="invd">
        19437
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2850000
      </sumStat>
      <sumStat type="mean">
        31796.084
      </sumStat>
      <sumStat type="stdev">
        201765.81
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1042" name="B12_q6" files="F33" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="77" width="7" RecSegNo="1"/>
      <labl>
        Value as on 30-06-2002 (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the value of shares &amp; debentures owned by the household in co operative societies &amp; companies as on30th June 2002?
        </qstnLit>
        <ivuInstr><![CDATA[The ownership on the date of survey and disposal and acquisition during 1.7.02 to date of survey of financial assets listed in col. (2) will be collected in cols. (3), (4) and (5) respectively.  The value of these assets owned by the household as on 30.6.02 will be worked out in the following way:

col. (6) = col. (3) + col. (5) - col. (4)]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="5172500"/>
      </valrng>
      <sumStat type="vald">
        19418
      </sumStat>
      <sumStat type="invd">
        425
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5172500
      </sumStat>
      <sumStat type="mean">
        8705.031
      </sumStat>
      <sumStat type="stdev">
        86263.696
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1043" name="NSS" files="F33" intrvl="discrete">
      <location StartPos="78" EndPos="79" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1044" name="NSC" files="F33" intrvl="discrete">
      <location StartPos="80" EndPos="82" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1045" name="MLT" files="F33" dcml="2" intrvl="contin">
      <location StartPos="83" EndPos="91" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="154415.62"/>
      </valrng>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        154415.62
      </sumStat>
      <sumStat type="mean">
        2902.672
      </sumStat>
      <sumStat type="stdev">
        4368.612
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1048" name="Weight" wgt="wgt" files="F33" dcml="2" intrvl="contin">
      <location StartPos="92" EndPos="97" width="6" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="772.0781"/>
      </valrng>
      <sumStat type="vald">
        19843
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        772.078
      </sumStat>
      <sumStat type="mean">
        14.557
      </sumStat>
      <sumStat type="stdev">
        21.934
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1076" name="HHID" files="F34" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1049" name="CentreCodeRndShift" files="F34" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1050" name="Vill_Blk_Slno" files="F34" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1051" name="Round" files="F34" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          335034
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1052" name="Schedule" files="F34" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          335034
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1053" name="Sample" files="F34" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          335034
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1054" name="Sector" files="F34" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          190801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          144233
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1055" name="State_Region" files="F34" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1077" name="State" files="F34" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          5961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          6610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          10325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          1159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          6352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          6019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          14566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          34577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          14642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          3415
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          5874
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          3865
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          3799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          4128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          11005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          26083
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          6912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          7713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          5327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          15038
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          12568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          1058
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          32209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          21464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          14623
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          1079
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          15865
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          30809
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          1965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          2342
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1056" name="District" files="F34" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1057" name="Stratum" files="F34" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1058" name="SubRound" files="F34" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          162445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          172589
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1059" name="SubSample" files="F34" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          166418
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          168616
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1060" name="FOD_SubRegion" files="F34" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1061" name="HG_SubBlkNo" files="F34" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1062" name="Second_Stratum" files="F34" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1063" name="Visit_no" files="F34" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          335034
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1064" name="Hhold_no" files="F34" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1065" name="Level" files="F34" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          335034
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1066" name="B13_q1" files="F34" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <qstn>
        <ivuInstr><![CDATA[This block is provided for collecting information on financial assets not covered in block 12 above.  The financial assets to be considered here are the different types of certificates/securities issued by the government or banks, viz. NSC, Indira Vikas Patra, Kisan Vikas Patra, RBI Bonds or deposits in post office, cooperative societies/banks, commercial banks, companies, insurance companies etc.  In case of certificates, the amount paid at the time of purchase will be considered and for deposits the total amount including interest accrued should be taken into account.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          government certificates viz. NSC , Indira vikas patra, kisan vikas patra, RBI Bonds etc.
        </labl>
        <catStat type="freq">
          2280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[deposit in post office  including national saving scheme deposits]]></labl>
        <catStat type="freq">
          4631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          deposit in co-operative society/bank
        </labl>
        <catStat type="freq">
          6302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          deposit in commercial bank
        </labl>
        <catStat type="freq">
          23509
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          deposit in non-banking company
        </labl>
        <catStat type="freq">
          4077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[chit contribution made  ]]></labl>
        <catStat type="freq">
          1386
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          deposit with individuals
        </labl>
        <catStat type="freq">
          1835
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ insurance  premium]]></labl>
        <catStat type="freq">
          15099
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          annuity certificates
        </labl>
        <catStat type="freq">
          175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          provident fund
        </labl>
        <catStat type="freq">
          13421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          cash in hand
        </labl>
        <catStat type="freq">
          121808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          other financial assets
        </labl>
        <catStat type="freq">
          15622
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          net amount ( items 1 to 12)
        </labl>
        <catStat type="freq">
          124889
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1067" name="B13_q3" files="F34" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Value as on the date of survey-sign
      </labl>
      <sumStat type="vald">
        389
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          389
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1068" name="B13_q4" files="F34" dcml="0" intrvl="contin">
      <location StartPos="51" EndPos="58" width="8" RecSegNo="1"/>
      <labl>
        Value as on the date of survey-value (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What is the value of financial assets other than shares &debentures owned by the household as on the date  of  survey?]]></qstnLit>
        <ivuInstr>
          Value of the assets as on the date of survey is to be recorded in col. (3).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="24200000"/>
      </valrng>
      <sumStat type="vald">
        334713
      </sumStat>
      <sumStat type="invd">
        321
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        24200000
      </sumStat>
      <sumStat type="mean">
        15644.013
      </sumStat>
      <sumStat type="stdev">
        84661.915
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1069" name="B13_q5" files="F34" dcml="0" intrvl="contin">
      <location StartPos="59" EndPos="66" width="8" RecSegNo="1"/>
      <labl>
        Value of transactions-Acquisition (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What is the value of financial assets other than shares & debentures acquired by the household as on the date  of  survey?]]></qstnLit>
        <ivuInstr><![CDATA[Provision has been made to record the transaction of these assets during 1.7.02 to date of survey in cols. (5) and (6).  All transfer of financial assets specified on col.(2) to others free of charge or against payment received in cash or in kind and all reductions in financial assets through withdrawal of deposits will be recorded in col.(6).  Disposal of these assets by other means such as gift etc. will also be included.  The term "purchase/deposit" in col.(5) will include all acquisition of assets through payment in cash or in kind, including the payment of insurance premium, contribution to provident fund, subscription to chit fund, additions to deposits etc.  The interest accrued during the reference period may also be recorded under acquisition in case of deposits.  Acquisition of these assets by other means such as gift received etc. will also be shown here.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="18000000"/>
      </valrng>
      <sumStat type="vald">
        71229
      </sumStat>
      <sumStat type="invd">
        263805
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        18000000
      </sumStat>
      <sumStat type="mean">
        14565.443
      </sumStat>
      <sumStat type="stdev">
        142982.137
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1070" name="B13_q6" files="F34" dcml="0" intrvl="contin">
      <location StartPos="67" EndPos="74" width="8" RecSegNo="1"/>
      <labl>
        Value of transactions-Disposal (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[For how much the financial assets other than shares & debentures were disposed of by the household as on the date  of  survey?]]></qstnLit>
        <ivuInstr><![CDATA[Provision has been made to record the transaction of these assets during 1.7.02 to date of survey in cols. (5) and (6).  All transfer of financial assets specified on col.(2) to others free of charge or against payment received in cash or in kind and all reductions in financial assets through withdrawal of deposits will be recorded in col.(6).  Disposal of these assets by other means such as gift etc. will also be included.  The term "purchase/deposit" in col.(5) will include all acquisition of assets through payment in cash or in kind, including the payment of insurance premium, contribution to provident fund, subscription to chit fund, additions to deposits etc.  The interest accrued during the reference period may also be recorded under acquisition in case of deposits.  Acquisition of these assets by other means such as gift received etc. will also be shown here.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="20000000"/>
      </valrng>
      <sumStat type="vald">
        25543
      </sumStat>
      <sumStat type="invd">
        309491
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        20000000
      </sumStat>
      <sumStat type="mean">
        28192.583
      </sumStat>
      <sumStat type="stdev">
        254397.446
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1071" name="B13_q7" files="F34" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Value as on 30-06-2002-sign
      </labl>
      <sumStat type="vald">
        275
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          275
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1072" name="B13_q8" files="F34" dcml="0" intrvl="contin">
      <location StartPos="76" EndPos="83" width="8" RecSegNo="1"/>
      <labl>
        Value as on 30-06-2002-value (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the total net value of financial assets other than shares &amp; debentures owned by the household as on30th June 2002?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="-388000" max="17621700"/>
      </valrng>
      <sumStat type="vald">
        208847
      </sumStat>
      <sumStat type="invd">
        126187
      </sumStat>
      <sumStat type="min">
        -388000
      </sumStat>
      <sumStat type="max">
        17621700
      </sumStat>
      <sumStat type="mean">
        23020.634
      </sumStat>
      <sumStat type="stdev">
        101080.797
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1073" name="NSS" files="F34" intrvl="discrete">
      <location StartPos="84" EndPos="85" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1074" name="NSC" files="F34" intrvl="discrete">
      <location StartPos="86" EndPos="88" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1075" name="MLT" files="F34" dcml="2" intrvl="contin">
      <location StartPos="89" EndPos="97" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="507122.94"/>
      </valrng>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        507122.94
      </sumStat>
      <sumStat type="mean">
        2843.771
      </sumStat>
      <sumStat type="stdev">
        4877.956
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1078" name="Weight" wgt="wgt" files="F34" dcml="2" intrvl="contin">
      <location StartPos="98" EndPos="104" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="2535.6147"/>
      </valrng>
      <sumStat type="vald">
        335034
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        2535.615
      </sumStat>
      <sumStat type="mean">
        14.317
      </sumStat>
      <sumStat type="stdev">
        25.381
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1104" name="HHID" files="F35" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1079" name="CentreCodeRndShift" files="F35" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1080" name="Vill_Blk_Slno" files="F35" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1081" name="Round" files="F35" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          13757
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1082" name="Schedule" files="F35" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          13757
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1083" name="Sample" files="F35" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          13757
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1084" name="Sector" files="F35" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          7937
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          5820
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1085" name="State_Region" files="F35" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1105" name="State" files="F35" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          391
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          1766
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          426
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          1158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          1126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          1138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1086" name="District" files="F35" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1087" name="Stratum" files="F35" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1088" name="SubRound" files="F35" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          7395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          6362
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1089" name="SubSample" files="F35" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          7246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          6511
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1090" name="FOD_SubRegion" files="F35" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1091" name="HG_SubBlkNo" files="F35" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1092" name="Second_Stratum" files="F35" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1093" name="Visit_no" files="F35" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          7021
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          6736
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1094" name="Hhold_no" files="F35" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1095" name="Level" files="F35" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          13757
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1096" name="B14_q1" files="F35" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Serial no.
      </labl>
      <qstn>
        <ivuInstr>
          This block is meant for collecting information in respect of amount receivable by the household on the date of survey on account of loans advanced by them in cash or in kind and the transactions of such loans during the reference periods, viz. 1.7.02 to the date of survey during the first visit and 1.7.03 to the date of survey in second visit.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          promissary note
        </labl>
        <catStat type="freq">
          456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[mortgage of  real estate]]></labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          pledge of bullion &amp; ornaments/ other moveable property
        </labl>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          unsecured loan
        </labl>
        <catStat type="freq">
          1262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[professional dues,  trade credit]]></labl>
        <catStat type="freq">
          2638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          kind loans
        </labl>
        <catStat type="freq">
          700
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          1618
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          total ( items 1 to 7)
        </labl>
        <catStat type="freq">
          6728
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1097" name="B14_q3" files="F35" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="56" width="7" RecSegNo="1"/>
      <labl>
        Amt. receivable-on date of survey
      </labl>
      <qstn>
        <qstnLit>
          How much is the amount of cash loans and kind loans receivable by household against different securities or heads on the date of survey ?
        </qstnLit>
        <ivuInstr>
          Loans receivable against different securities such as promissory notes, mortgage of real asset or bullion and ornaments and pledge of other movable properties etc., are to be recorded against items 1 to 3 respectively.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="3000000"/>
      </valrng>
      <sumStat type="vald">
        13522
      </sumStat>
      <sumStat type="invd">
        235
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3000000
      </sumStat>
      <sumStat type="mean">
        26628.015
      </sumStat>
      <sumStat type="stdev">
        108305.121
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1098" name="B14_q4" files="F35" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="64" width="8" RecSegNo="1"/>
      <labl>
        Value of transactions-Lent out
      </labl>
      <qstn>
        <qstnLit>
          What is the value of cash loans and kind loans lent out by household against different securities or heads on the date of survey?
        </qstnLit>
        <ivuInstr>
          The total amount lent out during the reference period by the household will be recorded in col. (4).
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="11500000"/>
      </valrng>
      <sumStat type="vald">
        5161
      </sumStat>
      <sumStat type="invd">
        8596
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11500000
      </sumStat>
      <sumStat type="mean">
        30194.768
      </sumStat>
      <sumStat type="stdev">
        269418.146
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1099" name="B14_q5" files="F35" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="72" width="8" RecSegNo="1"/>
      <labl>
        Value of trans.-as repayment
      </labl>
      <qstn>
        <qstnLit>
          What is the total amount received by the household by way of repayment of loan advanced to others including the interest accrued up to 30.6.02/30.6.03?
        </qstnLit>
        <ivuInstr>
          The total amount received by the household during the reference period by way of repayment of loan advanced to others within or prior to reference period, including the interest accrued up to 30.6.02/30.6.03, will be recorded in col.(5).
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="15000000"/>
      </valrng>
      <sumStat type="vald">
        4548
      </sumStat>
      <sumStat type="invd">
        9209
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        15000000
      </sumStat>
      <sumStat type="mean">
        34767.082
      </sumStat>
      <sumStat type="stdev">
        351853.213
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1330" name="B14_q6" files="F35" dcml="0" intrvl="contin">
      <location StartPos="73" EndPos="79" width="7" RecSegNo="1"/>
      <labl>
        Amount receivable-on 30-06-2002
      </labl>
      <qstn>
        <qstnLit>
          What is the total amount receivable by the household on30.6.02?
        </qstnLit>
        <ivuInstr><![CDATA[To obtain the information on 'receivable on 30.6.02/30.6.03' for recorded the same in col. (6), the following algebraic relation will be used:

Col (6) = Col. (3) + Col. (5) - Col. (4)]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        12461
      </sumStat>
      <sumStat type="invd">
        1296
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1101" name="NSS" files="F35" intrvl="discrete">
      <location StartPos="80" EndPos="81" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1102" name="NSC" files="F35" intrvl="discrete">
      <location StartPos="82" EndPos="84" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1103" name="MLT" files="F35" dcml="2" intrvl="contin">
      <location StartPos="85" EndPos="92" width="8" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.89" max="96412.14"/>
      </valrng>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.89
      </sumStat>
      <sumStat type="max">
        96412.14
      </sumStat>
      <sumStat type="mean">
        2620.997
      </sumStat>
      <sumStat type="stdev">
        4133.044
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1106" name="Weight" wgt="wgt" files="F35" dcml="2" intrvl="contin">
      <location StartPos="93" EndPos="98" width="6" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02945" max="482.0607"/>
      </valrng>
      <sumStat type="vald">
        13757
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0294
      </sumStat>
      <sumStat type="max">
        482.061
      </sumStat>
      <sumStat type="mean">
        13.239
      </sumStat>
      <sumStat type="stdev">
        21.781
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1136" name="HHID" files="F36" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1107" name="CentreCodeRndShift" files="F36" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1108" name="Vill_Blk_Slno" files="F36" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1109" name="Round" files="F36" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          275996
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1110" name="Schedule" files="F36" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          275996
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1111" name="Sample" files="F36" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          275996
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1112" name="Sector" files="F36" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          177977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          98019
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1113" name="State_Region" files="F36" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1137" name="State" files="F36" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          4530
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          4488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          7612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          2212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          5005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          4684
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          12916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          31897
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          16242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          2313
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          1828
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          1786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          5071
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          3478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          4504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          3542
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          9448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          21587
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          6892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          8445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          5156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          12815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          8845
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          22191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          18018
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          12217
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          11540
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          21451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          1284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          1160
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1114" name="District" files="F36" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <catStat type="freq">
          15067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <catStat type="freq">
          15965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <catStat type="freq">
          11989
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          13193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <catStat type="freq">
          11305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <catStat type="freq">
          10388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <catStat type="freq">
          13280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <catStat type="freq">
          12288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <catStat type="freq">
          10638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          8961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          10773
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          10747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          9336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          9311
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          9466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          6474
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          8105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          7305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          6022
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          6255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          6797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <catStat type="freq">
          7449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <catStat type="freq">
          3955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <catStat type="freq">
          4196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <catStat type="freq">
          4056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <catStat type="freq">
          3932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <catStat type="freq">
          3305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <catStat type="freq">
          3142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <catStat type="freq">
          2829
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <catStat type="freq">
          3095
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <catStat type="freq">
          1797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <catStat type="freq">
          1736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <catStat type="freq">
          1088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <catStat type="freq">
          2196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <catStat type="freq">
          1875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <catStat type="freq">
          795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <catStat type="freq">
          714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          38
        </catValu>
        <catStat type="freq">
          350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <catStat type="freq">
          676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <catStat type="freq">
          397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <catStat type="freq">
          246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <catStat type="freq">
          584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          43
        </catValu>
        <catStat type="freq">
          976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <catStat type="freq">
          516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <catStat type="freq">
          1288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <catStat type="freq">
          463
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          47
        </catValu>
        <catStat type="freq">
          381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <catStat type="freq">
          398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          49
        </catValu>
        <catStat type="freq">
          556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <catStat type="freq">
          476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <catStat type="freq">
          196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <catStat type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <catStat type="freq">
          532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <catStat type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <catStat type="freq">
          388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <catStat type="freq">
          196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <catStat type="freq">
          388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <catStat type="freq">
          745
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <catStat type="freq">
          501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <catStat type="freq">
          745
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <catStat type="freq">
          407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <catStat type="freq">
          494
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <catStat type="freq">
          722
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <catStat type="freq">
          519
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <catStat type="freq">
          226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <catStat type="freq">
          635
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <catStat type="freq">
          222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <catStat type="freq">
          360
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <catStat type="freq">
          302
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1115" name="Stratum" files="F36" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1116" name="SubRound" files="F36" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          137572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          138424
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1117" name="SubSample" files="F36" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          138099
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          137897
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1118" name="FOD_SubRegion" files="F36" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1119" name="HG_SubBlkNo" files="F36" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1120" name="Second_Stratum" files="F36" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1121" name="Visit_no" files="F36" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          138950
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          137046
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1122" name="Hhold_no" files="F36" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1123" name="Level" files="F36" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          275996
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1124" name="B15_1_1" files="F36" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Any cash loan outstanding ?
      </labl>
      <qstn>
        <qstnLit>
          Whether any member of the household has any cash loan outstanding, i.e. whether any amount remains payable on the date of survey?
        </qstnLit>
        <ivuInstr><![CDATA[It is to be ascertained from the respondent whether any member of the household has any cash loan outstanding, i.e. whether any amount remains payable on the date of survey.  Code '1' will be entered if the answer is affirmative; otherwise code '2' will be recorded against this item.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          137232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          138764
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1125" name="B15_1_2" files="F36" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        No. of cash loans outstanding to inst. agency
      </labl>
      <qstn>
        <qstnLit>
          If any member of the household has any cash loan outstanding, how many such cash loans are outstanding to institutional agency?
        </qstnLit>
        <ivuInstr>
          If the answer to column (1) is '1' number of loans which remain outstanding on the date of survey will be recorded in the box spaces provided against column (2) and/or (3), depending on whether those loans were taken from institutional agencies or non-institutional agencies or from both.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="14"/>
      </valrng>
      <sumStat type="vald">
        69468
      </sumStat>
      <sumStat type="invd">
        206528
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          3929
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          55735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          7621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          467
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          206528
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1126" name="B15_1_3" files="F36" dcml="0" intrvl="discrete">
      <location StartPos="51" EndPos="52" width="2" RecSegNo="1"/>
      <labl>
        No. of cash loans outstanding to non-inst. agency
      </labl>
      <qstn>
        <qstnLit>
          If any member of the household has any cash loan outstanding, how many such cash loans are outstanding to non-institutional agency?
        </qstnLit>
        <ivuInstr>
          If the answer to column (1) is '1' number of loans which remain outstanding on the date of survey will be recorded in the box spaces provided against column (2) and/or (3), depending on whether those loans were taken from institutional agencies or non-institutional agencies or from both.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="14"/>
      </valrng>
      <sumStat type="vald">
        87715
      </sumStat>
      <sumStat type="invd">
        188281
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          3899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          64010
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          11421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          5993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          188281
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1127" name="B15_1_4" files="F36" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Any cash loan repaid fully?
      </labl>
      <qstn>
        <qstnLit>
          Any cash loan repaid fully?
        </qstnLit>
        <ivuInstr><![CDATA[The household may not have any loan outstanding on the date of survey. But, it may have repaid some loans during 1.7.02 to the date of survey during the first visit and 1.1.03 to the date of survey during the second visit.  It is also possible that the household has some outstanding loan on the date of survey and also has repaid fully some other loans (not the loans already recorded against columns (2) and (3)) during the reference period.  Information to be sought against column (4) relates to the loans whose final repayment was made during the reference period and no amount of those loans remains outstanding on the date of survey.  In some situation, it is possible that household takes a second loan from the same source, say provident fund, before the first loan is fully repaid and the amount of the first loan is so adjusted that the amount borrowed from the second loan gets inflated by the amount unpaid on account  of the first loan.  In all such cases, the second loan will be considered as outstanding on the date of survey, while the first loan will be treated as repaid fully the reference period.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          10844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          265152
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1128" name="B15_1_5" files="F36" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        No. of cash loans repaid-inst.agency
      </labl>
      <qstn>
        <qstnLit>
          How many cash loans have been repaid to institutional agency?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="4"/>
      </valrng>
      <sumStat type="vald">
        6283
      </sumStat>
      <sumStat type="invd">
        269713
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          2307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3720
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          269713
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1129" name="B15_1_6" files="F36" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl><![CDATA[No. of  loans repaid-non-inst.agency]]></labl>
      <qstn>
        <qstnLit>
          How many cash loans have been repaid to non-institutional agency?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="8"/>
      </valrng>
      <sumStat type="vald">
        9065
      </sumStat>
      <sumStat type="invd">
        266931
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          1993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          6348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          266931
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1130" name="B15_1_7" files="F36" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Any cash loan written off?
      </labl>
      <qstn>
        <qstnLit>
          Any cash loan written off?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes to provide debt relief to farmer and others, the government agencies, banks etc., exempt the household from repaying a loan fully or partly and consider such loan as cleared up.  Whether any loan other than those recorded against columns (2), (3), (5) and (6) is written off during 1.7.02 to the date of survey in the first visit and 1.1.03 to the date of survey in the second visit will be ascertained and recorded against column (7) in terms of codes: yes-1, no-2.  If the code against column (7) is '1', number of such loans will be recorded against column (8) and/or (9).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          275484
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1131" name="B15_1_8" files="F36" dcml="0" intrvl="discrete">
      <location StartPos="57" EndPos="57" width="1" RecSegNo="1"/>
      <labl><![CDATA[No. of  loans written off-inst.agency]]></labl>
      <qstn>
        <qstnLit>
          How many cash loan have been written off by institutional agency?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes to provide debt relief to farmer and others, the government agencies, banks etc., exempt the household from repaying a loan fully or partly and consider such loan as cleared up.  Whether any loan other than those recorded against columns (2), (3), (5) and (6) is written off during 1.7.02 to the date of survey in the first visit and 1.1.03 to the date of survey in the second visit will be ascertained and recorded against column (7) in terms of codes: yes-1, no-2.  If the code against column (7) is '1', number of such loans will be recorded against column (8) and/or (9).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3"/>
      </valrng>
      <sumStat type="vald">
        676
      </sumStat>
      <sumStat type="invd">
        275320
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          275320
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1132" name="B15_1_9" files="F36" dcml="0" intrvl="discrete">
      <location StartPos="58" EndPos="58" width="1" RecSegNo="1"/>
      <labl><![CDATA[No. of  loans written off-non-inst.ag.]]></labl>
      <qstn>
        <qstnLit>
          How many cash loan have been written off by non-institutional agency?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes to provide debt relief to farmer and others, the government agencies, banks etc., exempt the household from repaying a loan fully or partly and consider such loan as cleared up.  Whether any loan other than those recorded against columns (2), (3), (5) and (6) is written off during 1.7.02 to the date of survey in the first visit and 1.1.03 to the date of survey in the second visit will be ascertained and recorded against column (7) in terms of codes: yes-1, no-2.  If the code against column (7) is '1', number of such loans will be recorded against column (8) and/or (9).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="3"/>
      </valrng>
      <sumStat type="vald">
        563
      </sumStat>
      <sumStat type="invd">
        275433
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          275433
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1133" name="NSS" files="F36" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1134" name="NSC" files="F36" intrvl="discrete">
      <location StartPos="61" EndPos="63" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1135" name="MLT" files="F36" dcml="2" intrvl="contin">
      <location StartPos="64" EndPos="72" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="561457.54"/>
      </valrng>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        561457.54
      </sumStat>
      <sumStat type="mean">
        2913.71
      </sumStat>
      <sumStat type="stdev">
        5128.186
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1138" name="Weight" wgt="wgt" files="F36" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="79" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="2807.2877"/>
      </valrng>
      <sumStat type="vald">
        275996
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        2807.288
      </sumStat>
      <sumStat type="mean">
        14.669
      </sumStat>
      <sumStat type="stdev">
        26.552
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1175" name="HHID" files="F37" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1139" name="CentreCodeRndShift" files="F37" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1140" name="Vill_Blk_Slno" files="F37" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1141" name="Round" files="F37" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          208006
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1142" name="Schedule" files="F37" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          208006
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1143" name="Sample" files="F37" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          208006
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1144" name="Sector" files="F37" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          139118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          68888
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1145" name="State_Region" files="F37" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1176" name="State" files="F37" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          3568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          5877
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          4515
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          9859
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          25939
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          9423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          862
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          3009
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          4816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          15268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          2708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          5832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          3834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          9534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          6237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          409
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          17115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          20424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          8726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          14962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          22068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          1622
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          755
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1146" name="District" files="F37" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1147" name="Stratum" files="F37" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1148" name="SubRound" files="F37" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          106771
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          101235
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1149" name="SubSample" files="F37" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          104384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          103622
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1150" name="FOD_SubRegion" files="F37" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1151" name="HG_SubBlkNo" files="F37" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1152" name="Second_Stratum" files="F37" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1153" name="Visit_no" files="F37" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          94255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          113751
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1154" name="Hhold_no" files="F37" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1155" name="Level" files="F37" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          208006
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1156" name="B15_2_q1" files="F37" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Srl. No. of loan
      </labl>
      <qstn>
        <ivuInstr><![CDATA[For recording the loans in this block, a specific order is to be maintained.  All loans reported against column (2) of block 15.1 will be listed first in this block under 'institutional agencies', followed by loans accounted for in columns (5) and (8) of block 15.1 respectively.  Thereafter, all loans reported against column (3) of block 15.1 will be listed in this block under 'non-institutional agencies', followed by loans reported against columns (6) and (9) respectively.  A continuous serial number will be given in col. (1) for all loans (institutional and non-institutional), particulars of which will be collected in block 15.2.  The last serial number will be equal to the total of entries made in block 15.1 against columns (2), (3), (5), (6), (8) and (9).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1157" name="B15_2_q2" files="F37" intrvl="discrete">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        Month
      </labl>
      <qstn>
        <qstnLit>
          In which month was the loan taken?
        </qstnLit>
        <ivuInstr><![CDATA[The month and year of borrowing will be recorded in cols. (2) and (3) respectively.  It may be noted that month will be recorded in two digits, e.g. January will be recorded as 01, February - 02, March - 03 ........, December - 12.  Year will also be recorded in two digits, i.e. year 1985 will be recorded as '85' only.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        207432
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jan
        </labl>
        <catStat type="freq">
          18752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Feb
        </labl>
        <catStat type="freq">
          17712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Mar
        </labl>
        <catStat type="freq">
          19444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Apr
        </labl>
        <catStat type="freq">
          21432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          May
        </labl>
        <catStat type="freq">
          20467
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Jun
        </labl>
        <catStat type="freq">
          19920
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Jul
        </labl>
        <catStat type="freq">
          31159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Aug
        </labl>
        <catStat type="freq">
          17279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Sep
        </labl>
        <catStat type="freq">
          10519
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Oct
        </labl>
        <catStat type="freq">
          12245
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Nov
        </labl>
        <catStat type="freq">
          9248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Dec
        </labl>
        <catStat type="freq">
          9255
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1158" name="B15_2_q3" files="F37" intrvl="discrete">
      <location StartPos="52" EndPos="55" width="4" RecSegNo="1"/>
      <labl>
        Year
      </labl>
      <qstn>
        <qstnLit>
          In which year was the loan taken?
        </qstnLit>
        <ivuInstr><![CDATA[The month and year of borrowing will be recorded in cols. (2) and (3) respectively.  It may be noted that month will be recorded in two digits, e.g. January will be recorded as 01, February - 02, March - 03 ........, December - 12.  Year will also be recorded in two digits, i.e. year 1985 will be recorded as '85' only.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1159" name="B15_2_q4" files="F37" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Period of loan
      </labl>
      <qstn>
        <qstnLit>
          When was the loan taken?
        </qstnLit>
        <ivuInstr>
          For each loan, the period of loan will be recorded in col. (4) in terms of codes.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          loan taken on or before 30.6.02 and remained unpaid on 1.1.03
        </labl>
        <catStat type="freq">
          103768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          loan taken during 1.7.02 to 30.9.02 and remained unpaid on 1.1.03
        </labl>
        <catStat type="freq">
          24035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          loan taken during 1.10.02 to 31.12.02 and remained unpaid on 1.1.03
        </labl>
        <catStat type="freq">
          18858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          loan taken during 1.1.03 to 31.3.03
        </labl>
        <catStat type="freq">
          33266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          loan taken during 1.4.03 to 30.6.03
        </labl>
        <catStat type="freq">
          6705
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          loan taken during 1.7.03 to date of survey
        </labl>
        <catStat type="freq">
          21374
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1160" name="B15_2_q5" files="F37" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="63" width="7" RecSegNo="1"/>
      <labl>
        Amount borrowed (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount was originally borrowed?
        </qstnLit>
        <ivuInstr><![CDATA[For each loan, the amount originally borrowed will be recorded in rupees (whole number) in col. (5).  Sometimes, a second loan is taken from the same source before the first loan is fully repaid and the unpaid amount of the first loan is included in the amount of second loan.  The borrower receives the sanctioned amount minus the unpaid amount of the first loan.  Again, the lender may deduct the first installment of interest before paying the amount to the borrower.  In all such cases, the amount contracted will be the amount originally borrowed, even if the amount received by the borrower is less.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="9500000"/>
      </valrng>
      <sumStat type="vald">
        207968
      </sumStat>
      <sumStat type="invd">
        38
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        9500000
      </sumStat>
      <sumStat type="mean">
        27923.064
      </sumStat>
      <sumStat type="stdev">
        94742.974
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1161" name="B15_2_q6" files="F37" intrvl="discrete">
      <location StartPos="64" EndPos="65" width="2" RecSegNo="1"/>
      <labl>
        Credit agency
      </labl>
      <qstn>
        <qstnLit>
          From which agency loan has been taken?
        </qstnLit>
        <ivuInstr>
          The agency from which the loan has been taken will be recorded in col. (6) in code number.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        207945
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          government
        </labl>
        <catStat type="freq">
          6451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          cooperative society/bank
        </labl>
        <catStat type="freq">
          36083
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          commercial bank including regional rural banks
        </labl>
        <catStat type="freq">
          31595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          insurance
        </labl>
        <catStat type="freq">
          783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          provident fund
        </labl>
        <catStat type="freq">
          2715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          financial Corporation/institution
        </labl>
        <catStat type="freq">
          1624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          financial company
        </labl>
        <catStat type="freq">
          1046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          other institutional agencies
        </labl>
        <catStat type="freq">
          2899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          landlord
        </labl>
        <catStat type="freq">
          1686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          agriculturist money lender
        </labl>
        <catStat type="freq">
          13366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          professional money lender
        </labl>
        <catStat type="freq">
          53043
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          trader
        </labl>
        <catStat type="freq">
          7992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          relatives and friends
        </labl>
        <catStat type="freq">
          41215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          doctors, lawyers and other professionals
        </labl>
        <catStat type="freq">
          796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          6651
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1162" name="B15_2_q7" files="F37" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        Scheme of lending
      </labl>
      <qstn>
        <qstnLit>
          Sometimes institutional agencies advance loans under various programmes or schemes for development of particular community, area, industry etc. Under which scheme loans are borrowed?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes institutional agencies advance loans under various programmes or schemes for development of particular community, area, industry etc.  The scheme under which loans are borrowed will be ascertained and will be filled in col. (7) in terms of code.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        207988
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Differential Rates of Interest (DRI)
        </labl>
        <catStat type="freq">
          2832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Prime Ministers Rozgar Yojana.(PMRY)
        </labl>
        <catStat type="freq">
          1653
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Swarnajayanti Gramin Swarojgar Yojana.(SGSY)
        </labl>
        <catStat type="freq">
          2747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Swarna Jayanti Sahari Rozgar Yojana.(SJSRY)
        </labl>
        <catStat type="freq">
          710
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Advances to minority communities
        </labl>
        <catStat type="freq">
          551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Scheme for liberalization and rehabilitation of scavengers
        </labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          exclusive state schemes
        </labl>
        <catStat type="freq">
          5935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          other schemes
        </labl>
        <catStat type="freq">
          68665
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          not covered under any scheme
        </labl>
        <catStat type="freq">
          124792
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1163" name="B15_2_q8" files="F37" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        Type of loan
      </labl>
      <qstn>
        <qstnLit>
          What is the type of loan? For how much duration loan has been given?
        </qstnLit>
        <ivuInstr><![CDATA[The loans are generally given for a specific period.  Short-term loans are advanced for a period up to 12 months, medium-term for a period ranging from 1 to 3 years and long-term loan for a period exceeding 3 years.  Short term loans are sometimes given against the pledge of commodities or without any pledge.  So the relevant category of loans has to be ascertained and the corresponding code is to be given in col. (8).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        207813
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          short term pledged
        </labl>
        <catStat type="freq">
          25664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          short term non-pledged
        </labl>
        <catStat type="freq">
          59011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          medium term
        </labl>
        <catStat type="freq">
          66963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          long term
        </labl>
        <catStat type="freq">
          56175
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1164" name="B15_2_q9" files="F37" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Nature of interest
      </labl>
      <qstn>
        <qstnLit>
          What is the nature of interest on loan?
        </qstnLit>
        <ivuInstr>
          The nature of interest expressed in terms of codes will be recorded in col. (9) for each loan.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        207990
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          interest free
        </labl>
        <catStat type="freq">
          51363
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl><![CDATA[simple  ]]></labl>
        <catStat type="freq">
          122231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl><![CDATA[compound  ]]></labl>
        <catStat type="freq">
          30673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          concessional rate
        </labl>
        <catStat type="freq">
          3723
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1165" name="B15_2_q10" files="F37" dcml="2" intrvl="contin">
      <location StartPos="69" EndPos="74" width="6" RecSegNo="1"/>
      <labl>
        Rate of interest (0.00)
      </labl>
      <qstn>
        <qstnLit>
          What is the rate of interest on loan?
        </qstnLit>
        <ivuInstr>
          The rate of interest per 100 rupee per annum actually charged by the lender will be recorded against col. (10) in two decimal places of rupee.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="600.05"/>
      </valrng>
      <sumStat type="vald">
        203135
      </sumStat>
      <sumStat type="invd">
        4871
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        600.05
      </sumStat>
      <sumStat type="mean">
        20.358
      </sumStat>
      <sumStat type="stdev">
        22.591
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1166" name="B15_2_q11" files="F37" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Purpose of loan
      </labl>
      <qstn>
        <qstnLit>
          What is the purpose of loan?
        </qstnLit>
        <ivuInstr><![CDATA[The purpose for which the loan is incurred will be recorded in code number against this item.  The purpose of loan is defined as the occasion which prompted the households to contract the loan.  Even if the loan is utilised for a purpose other than that for which it is borrowed, the original purpose of borrowing will only be recorded here.  If more than one purpose are involved, the purpose for which the maximum amount of loan has been originally decided to be spent will be noted.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        207732
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Capital expenditure in farm business
        </labl>
        <catStat type="freq">
          21260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Current expenditure in farm business
        </labl>
        <catStat type="freq">
          23415
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Capital expenditure in non-farm business
        </labl>
        <catStat type="freq">
          14575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Current expenditure in non-farm business
        </labl>
        <catStat type="freq">
          8407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Household expenditure
        </labl>
        <catStat type="freq">
          116500
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          expenditure on litigation
        </labl>
        <catStat type="freq">
          549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          repayment of debt
        </labl>
        <catStat type="freq">
          3481
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Financial investment expenditure
        </labl>
        <catStat type="freq">
          1052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          18493
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1167" name="B15_2_q12" files="F37" intrvl="discrete">
      <location StartPos="76" EndPos="77" width="2" RecSegNo="1"/>
      <labl>
        Type of security
      </labl>
      <qstn>
        <qstnLit>
          What type of security has been given for getting loan?
        </qstnLit>
        <ivuInstr><![CDATA[The type of security may be different for different types of loans.  The codes for various types of securities to be filled in col. (12) are:  
personal security .......................................................................…….	01	
surety security or guarantee by third party    .............................……	02	
crop .......................................................................................……….	03	
first charge on immovable property…………………………………	04	
mortgage of immovable property.................................................…...	05	
bullion/ornaments  ............................................................………….	06	
share of companies, govt. securities and insurance policies ...……...	07	
agricultural commodities..............................................................…..	08	
movable property other than bullion, ornaments, share and agricultural commodities................................................……………	 09	
other types of security .................................................................…...	10	


The first charge on immovable property is defined as the charge on the immovable property created by the first mortgage when there are more than one mortgage for the same immovable property.  In such cases, the liability of any mortgage cannot be cleared unless the liabilities of all the previous mortgages are cleared.  If the loan is taken without any security, code '01' may be recorded in col. (12).  In case, more than one security are reported against a loan, the code which appears first in the code list will be recorded.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        207629
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          personal security
        </labl>
        <catStat type="freq">
          139708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          surety security or guarantee by third party
        </labl>
        <catStat type="freq">
          12712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          crop
        </labl>
        <catStat type="freq">
          3180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          first charge on immovable property
        </labl>
        <catStat type="freq">
          13000
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          mortgage of immovable property
        </labl>
        <catStat type="freq">
          20612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          bullion/ornaments
        </labl>
        <catStat type="freq">
          9465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          share of companies, govt. securities and insurance policies
        </labl>
        <catStat type="freq">
          960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          agricultural commodities
        </labl>
        <catStat type="freq">
          435
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          movable property other than bullion, ornaments, share and agricultural commodities
        </labl>
        <catStat type="freq">
          1207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          other types of security
        </labl>
        <catStat type="freq">
          6350
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1168" name="B15_2_q13" files="F37" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        Type of mortgage
      </labl>
      <qstn>
        <qstnLit>
          What type of mortgage has been given for getting loan?
        </qstnLit>
        <ivuInstr><![CDATA[This column will be filled in for all loans entered in block 15.2.  In the case of a loan secured by mortgage of immovable property, i.e. if the entry in col. (12) is '05', one of the codes 01 to 04 representing different types of mortgage will be entered in col. (13).  If the loan is received without mortgaging any immovable property, code '5' should be recorded in col. (13).  The mortgage may be of the following types:
simple mortgage:  In simple mortgage, the mortgager (i.e. the person who mortgages the property) retains the ownership and possession of the property mortgaged.  Code '01' will be entered for simple mortgage.
usufructuary mortgage: In usufructuary mortgage, the ownership of the property remains with the mortgager but the possession vests on the mortgagee (i.e. the person to whom the mortgage is made or given).  Income from the property accrues to the mortgagee and the mortgage is terminated as soon as the full amount is realised.  Code '02' would be given for this type of mortgage.
 mortgage by conditional sale:  It is the type of mortgage by the execution of which the ownership and possession of the property vests with the mortgagee and a sale deed is executed.  The property is returnable to the mortgager only on termination of the mortgage (i.e. on the full recovery of loan).  Code '03' will be given for this mortgage.
other type of mortgage:  Any type of mortgage different from the above or any combination of those will be recorded under this category.  Code '04' will be given to this type of mortgage.
no mortgage:  Loans for which no mortgage is necessary will be recorded under this category, code '05' will be given for no mortgage in col. (13).]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        207447
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          simple mortgage
        </labl>
        <catStat type="freq">
          23260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          usufructuary mortgage
        </labl>
        <catStat type="freq">
          1338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          mortgage by conditional sale
        </labl>
        <catStat type="freq">
          4649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          other type of mortgage
        </labl>
        <catStat type="freq">
          3955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          no mortgage
        </labl>
        <catStat type="freq">
          174245
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1169" name="B15_2_q14" files="F37" dcml="0" intrvl="contin">
      <location StartPos="79" EndPos="84" width="6" RecSegNo="1"/>
      <labl>
        Repaid during 01.07.02 to 30.09.02 (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much loan amount was repaid during 01.07.02 to 30.09.02?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="555000"/>
      </valrng>
      <sumStat type="vald">
        43662
      </sumStat>
      <sumStat type="invd">
        164344
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        555000
      </sumStat>
      <sumStat type="mean">
        4315.257
      </sumStat>
      <sumStat type="stdev">
        11627.326
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1170" name="B15_2_q15" files="F37" dcml="0" intrvl="contin">
      <location StartPos="85" EndPos="91" width="7" RecSegNo="1"/>
      <labl>
        Repaid during 01.10.02 to 31.12.02 (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much loan amount was repaid during 01.07.02 to 31.12.02?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1060000"/>
      </valrng>
      <sumStat type="vald">
        50938
      </sumStat>
      <sumStat type="invd">
        157068
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1060000
      </sumStat>
      <sumStat type="mean">
        4662.714
      </sumStat>
      <sumStat type="stdev">
        13623.416
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1171" name="B15_2_q16" files="F37" dcml="0" intrvl="contin">
      <location StartPos="92" EndPos="98" width="7" RecSegNo="1"/>
      <labl>
        Repaid - 01.01.03 to Date Of Survey (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much loan amount was repaid during 01.07.02 to date of survey?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="1200000"/>
      </valrng>
      <sumStat type="vald">
        77657
      </sumStat>
      <sumStat type="invd">
        130349
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1200000
      </sumStat>
      <sumStat type="mean">
        5114.71
      </sumStat>
      <sumStat type="stdev">
        15332.823
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1172" name="NSS" files="F37" intrvl="discrete">
      <location StartPos="99" EndPos="100" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1173" name="NSC" files="F37" intrvl="discrete">
      <location StartPos="101" EndPos="103" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1174" name="MLT" files="F37" dcml="2" intrvl="contin">
      <location StartPos="104" EndPos="112" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="271673"/>
      </valrng>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        271673
      </sumStat>
      <sumStat type="mean">
        2569.256
      </sumStat>
      <sumStat type="stdev">
        4147.879
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1177" name="Weight" wgt="wgt" files="F37" dcml="2" intrvl="contin">
      <location StartPos="113" EndPos="119" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="1358.365"/>
      </valrng>
      <sumStat type="vald">
        208006
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        1358.365
      </sumStat>
      <sumStat type="mean">
        12.989
      </sumStat>
      <sumStat type="stdev">
        22.029
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1207" name="HHID" files="F38" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1178" name="CentreCodeRndShift" files="F38" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1179" name="Vill_Blk_Slno" files="F38" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1180" name="Round" files="F38" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          208041
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1181" name="Schedule" files="F38" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          208041
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1182" name="Sample" files="F38" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          208041
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1183" name="Sector" files="F38" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          139138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          68903
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1184" name="State_Region" files="F38" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1208" name="State" files="F38" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          3568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          5877
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          4515
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          9859
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          25963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          9423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          862
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          3011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          1459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          2770
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          4816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          15275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          2708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          5832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          3834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          9534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          6237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          409
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          17115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          20425
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          8726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          14962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          22068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          1622
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          755
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1185" name="District" files="F38" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1186" name="Stratum" files="F38" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1187" name="SubRound" files="F38" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          106801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          101240
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1188" name="SubSample" files="F38" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          104396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          103645
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1189" name="FOD_SubRegion" files="F38" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1190" name="HG_SubBlkNo" files="F38" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1191" name="Second_Stratum" files="F38" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1192" name="Visit_no" files="F38" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          94260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          113781
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1193" name="Hhold_no" files="F38" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1194" name="Level" files="F38" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          208041
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1195" name="B15_2_q1" files="F38" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Srl. No. of loan
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1196" name="B15_2_q17" files="F38" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="55" width="6" RecSegNo="1"/>
      <labl><![CDATA[Written off -  01.07.02 to 30.09.03 (Rs.)]]></labl>
      <qstn>
        <qstnLit>
          How much loan amount was written off during 01.07.02 to 30.09.03?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes to provide debt relief to farmers and others, the government agencies, banks etc., exempt the households from repaying a loan fully or partly and consider such loans cleared up under its debt relief programme.  If such exemption of debt repayment is granted during the periods mentioned in the column headings of cols.(17) to (19), the total amount (including interest) so written off  will be recorded in the appropriate column, depending upon the date of such exemption.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="250000"/>
      </valrng>
      <sumStat type="vald">
        691
      </sumStat>
      <sumStat type="invd">
        207350
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        250000
      </sumStat>
      <sumStat type="mean">
        7890.055
      </sumStat>
      <sumStat type="stdev">
        18627.987
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1197" name="B15_2_q18" files="F38" dcml="0" intrvl="contin">
      <location StartPos="56" EndPos="61" width="6" RecSegNo="1"/>
      <labl>
        Written off - 01.10.02 to 31.12.03 (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much loan amount was written off during 01.07.02 to 31.12.03 ?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes to provide debt relief to farmers and others, the government agencies, banks etc., exempt the households from repaying a loan fully or partly and consider such loans cleared up under its debt relief programme.  If such exemption of debt repayment is granted during the periods mentioned in the column headings of cols.(17) to (19), the total amount (including interest) so written off  will be recorded in the appropriate column, depending upon the date of such exemption.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="148000"/>
      </valrng>
      <sumStat type="vald">
        555
      </sumStat>
      <sumStat type="invd">
        207486
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        148000
      </sumStat>
      <sumStat type="mean">
        6388.45
      </sumStat>
      <sumStat type="stdev">
        15201.909
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1198" name="B15_2_q19" files="F38" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="67" width="6" RecSegNo="1"/>
      <labl>
        Written off -1.1.03 to Date Of Survey (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much loan amount was written off during 01.07.02 to date of survey?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes to provide debt relief to farmers and others, the government agencies, banks etc., exempt the households from repaying a loan fully or partly and consider such loans cleared up under its debt relief programme.  If such exemption of debt repayment is granted during the periods mentioned in the column headings of cols.(17) to (19), the total amount (including interest) so written off  will be recorded in the appropriate column, depending upon the date of such exemption.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="800000"/>
      </valrng>
      <sumStat type="vald">
        14169
      </sumStat>
      <sumStat type="invd">
        193872
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        800000
      </sumStat>
      <sumStat type="mean">
        818.411
      </sumStat>
      <sumStat type="stdev">
        8899.255
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1199" name="B15_2_q20" files="F38" dcml="0" intrvl="contin">
      <location StartPos="68" EndPos="74" width="7" RecSegNo="1"/>
      <labl>
        Interest accrued (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much interest amount has accrued on loan?
        </qstnLit>
        <ivuInstr><![CDATA[The information for this column will be collected for the loans having code '1' in col. (4) (period of loan) during the first visit and codes '1' to '5' in col. (4) (period of loan) during the second visit.  Sometimes repayment of loans are made in regular periodic installments (e.g. loan taken under hire purchase schemes), namely in months or in quarters of the year.  In such cases, the interest for the reference period of 1.7.02/1.7.03 to date of survey need to be worked out on the reducing balances of the principal amount.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1050000"/>
      </valrng>
      <sumStat type="vald">
        96759
      </sumStat>
      <sumStat type="invd">
        111282
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1050000
      </sumStat>
      <sumStat type="mean">
        2799.065
      </sumStat>
      <sumStat type="stdev">
        9336.996
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1200" name="B15_2_q21" files="F38" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="81" width="7" RecSegNo="1"/>
      <labl>
        Amount outstanding - Principal (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much principal amount is outstanding?
        </qstnLit>
        <ivuInstr><![CDATA[Corresponding to each of the loans considered in this block, amount outstanding, if any, on the date of survey with break-up by amounts of principal and interest will be ascertained and recorded in cols. (21) to (23).  In case, a loan is fully repaid or written off during the reference period (1.7.02/1.1.03 to date of survey), the corresponding entries against these items will be '0'.  If it is difficult to get 'principal' and 'interest' separately, the total amount outstanding including interest may be recorded under col. (23) for total only.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="9000000"/>
      </valrng>
      <sumStat type="vald">
        192914
      </sumStat>
      <sumStat type="invd">
        15127
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9000000
      </sumStat>
      <sumStat type="mean">
        22883.301
      </sumStat>
      <sumStat type="stdev">
        81442.745
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1201" name="B15_2_q22" files="F38" dcml="0" intrvl="contin">
      <location StartPos="82" EndPos="89" width="8" RecSegNo="1"/>
      <labl>
        Amount outstanding -Interest (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much interest amount is outstanding?
        </qstnLit>
        <ivuInstr><![CDATA[Corresponding to each of the loans considered in this block, amount outstanding, if any, on the date of survey with break-up by amounts of principal and interest will be ascertained and recorded in cols. (21) to (23).  In case, a loan is fully repaid or written off during the reference period (1.7.02/1.1.03 to date of survey), the corresponding entries against these items will be '0'.  If it is difficult to get 'principal' and 'interest' separately, the total amount outstanding including interest may be recorded under col. (23) for total only.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="11293329"/>
      </valrng>
      <sumStat type="vald">
        107573
      </sumStat>
      <sumStat type="invd">
        100468
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11293329
      </sumStat>
      <sumStat type="mean">
        6174.825
      </sumStat>
      <sumStat type="stdev">
        44421.311
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1202" name="B15_2_q23" files="F38" dcml="0" intrvl="contin">
      <location StartPos="90" EndPos="97" width="8" RecSegNo="1"/>
      <labl>
        Amount outstanding - Total (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much total amount is outstanding?
        </qstnLit>
        <ivuInstr><![CDATA[Corresponding to each of the loans considered in this block, amount outstanding, if any, on the date of survey with break-up by amounts of principal and interest will be ascertained and recorded in cols. (21) to (23).  In case, a loan is fully repaid or written off during the reference period (1.7.02/1.1.03 to date of survey), the corresponding entries against these items will be '0'.  If it is difficult to get 'principal' and 'interest' separately, the total amount outstanding including interest may be recorded under col. (23) for total only.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="11295529"/>
      </valrng>
      <sumStat type="vald">
        196048
      </sumStat>
      <sumStat type="invd">
        11993
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11295529
      </sumStat>
      <sumStat type="mean">
        25905.666
      </sumStat>
      <sumStat type="stdev">
        93941.199
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1203" name="B15_2_q24" files="F38" dcml="0" intrvl="contin">
      <location StartPos="98" EndPos="105" width="8" RecSegNo="1"/>
      <labl>
        Amount outstanding as on 30-06-02 (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much total amount is outstanding as on 30-06-02 ?
        </qstnLit>
        <ivuInstr><![CDATA[The total amount outstanding on 30.6.02/30.6.03 col. (24) will be recorded only for those loans which were taken before 30.6.02 for visit 1 and for loans taken prior to 30.6.03 in visit 2, i.e. the loans having code '1' and codes '1' to '5', during visits 1 and 2 respectively.  The formulae for deriving the entries in col. (24) are as follows:

Col.(24) =Col.(14) + Col.(15) + Col.(16) + Col.(17) + 		    
                Col.(18) + Col.(19) + Col.(23) - Col.(20) in visit 1 
                                                  and
Col.(24) = Col.(16) + Col.(19) + Col.(23) - Col.(20) in visit 2.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="11295485"/>
      </valrng>
      <sumStat type="vald">
        141455
      </sumStat>
      <sumStat type="invd">
        66586
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11295485
      </sumStat>
      <sumStat type="mean">
        28652.094
      </sumStat>
      <sumStat type="stdev">
        96971.646
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1204" name="NSS" files="F38" intrvl="discrete">
      <location StartPos="106" EndPos="107" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1205" name="NSC" files="F38" intrvl="discrete">
      <location StartPos="108" EndPos="110" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1206" name="MLT" files="F38" dcml="2" intrvl="contin">
      <location StartPos="111" EndPos="119" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="271673"/>
      </valrng>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        271673
      </sumStat>
      <sumStat type="mean">
        2569.377
      </sumStat>
      <sumStat type="stdev">
        4147.785
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1209" name="Weight" wgt="wgt" files="F38" dcml="2" intrvl="contin">
      <location StartPos="120" EndPos="126" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="1358.365"/>
      </valrng>
      <sumStat type="vald">
        208041
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        1358.365
      </sumStat>
      <sumStat type="mean">
        12.989
      </sumStat>
      <sumStat type="stdev">
        22.028
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1236" name="HHID" files="F39" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1210" name="CentreCodeRndShift" files="F39" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1211" name="Vill_Blk_Slno" files="F39" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1212" name="Round" files="F39" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          41162
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1213" name="Schedule" files="F39" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          41162
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1214" name="Sample" files="F39" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          41162
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1215" name="Sector" files="F39" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          28310
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          12852
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1216" name="State_Region" files="F39" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1237" name="State" files="F39" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          1261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          1396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          1433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          920
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          2209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          1629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          3472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          430
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          409
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          1121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          854
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          9146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          1005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          2702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          1010
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          3683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          1352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          1268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          131
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1217" name="District" files="F39" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1218" name="Stratum" files="F39" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1219" name="SubRound" files="F39" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          21176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          19986
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1220" name="SubSample" files="F39" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          20375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          20787
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1221" name="FOD_SubRegion" files="F39" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1222" name="HG_SubBlkNo" files="F39" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1223" name="Second_Stratum" files="F39" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1224" name="Visit_no" files="F39" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          19380
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          21782
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1225" name="Hhold_no" files="F39" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1226" name="Level" files="F39" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          41162
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1227" name="B16_q1" files="F39" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Srl. No. of liability
      </labl>
      <qstn>
        <ivuInstr>
          For all liabilities recorded in this block, a running serial number starting from 1 will be put in col.(1).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1228" name="B16_q2" files="F39" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Nature of liability
      </labl>
      <qstn>
        <qstnLit>
          What is the nature of loans and other liabilities payable by the household?
        </qstnLit>
        <ivuInstr><![CDATA[A liability which is contracted in cash will be considered as 'cash liability', even if the repayment is made or will be made in kind.  Similarly, a liability which is contracted in kind will be considered as 'kind liability', regardless of the mode of repayment which may be in cash or in kind.  The nature of each of the liabilities will be ascertained and recorded in col. (2) in terms of codes: cash-1, kind-2.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          cash
        </labl>
        <catStat type="freq">
          24443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          kind
        </labl>
        <catStat type="freq">
          16719
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1229" name="B16_q3" files="F39" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Period
      </labl>
      <qstn>
        <qstnLit>
          For how long the liability is outstanding?
        </qstnLit>
        <ivuInstr>
          For each liability, the period for which the liability is outstanding will be recorded in term of code in col. (4).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        41099
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          less than 1 month
        </labl>
        <catStat type="freq">
          7240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1 month &amp; above but less than 3 months
        </labl>
        <catStat type="freq">
          14300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          3 month &amp; above but less than 6 months
        </labl>
        <catStat type="freq">
          8830
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          6 month &amp; above but less than 1 year
        </labl>
        <catStat type="freq">
          4898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          one year &amp; above
        </labl>
        <catStat type="freq">
          5831
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1230" name="B16_q4" files="F39" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        Source
      </labl>
      <qstn>
        <qstnLit>
          What is the source of loan?
        </qstnLit>
        <ivuInstr>
          For each liability, the source of loan will be recorded in term of code in col. (4).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        41125
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          trader
        </labl>
        <catStat type="freq">
          32381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          relatives &amp; friends
        </labl>
        <catStat type="freq">
          2390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          doctors, lawyers &amp; other professionals
        </labl>
        <catStat type="freq">
          1803
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          4551
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1231" name="B16_q5" files="F39" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Purpose
      </labl>
      <qstn>
        <qstnLit>
          What is the purpose of loan?
        </qstnLit>
        <ivuInstr>
          For each liability, the purpose for which the liability incurred will be recorded in terms of codes in col. (5).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        41017
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          current expenditure in farm business
        </labl>
        <catStat type="freq">
          2639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          current expenditure in non-farm business
        </labl>
        <catStat type="freq">
          2192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          other household expenditure
        </labl>
        <catStat type="freq">
          33800
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          other expenditure
        </labl>
        <catStat type="freq">
          2386
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1232" name="B16_q6" files="F39" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="60" width="7" RecSegNo="1"/>
      <labl>
        Amount outstanding (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount is outstanding?
        </qstnLit>
        <ivuInstr><![CDATA[For each of the liabilities, the amount outstanding including interest on the date of survey is to be ascertained and recorded in col. (6) in whole number of rupees.  In case of kind loans, the amount of the liability will be evaluated at the current market price prevailing in the locality on the date of survey.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="1500000"/>
      </valrng>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1500000
      </sumStat>
      <sumStat type="mean">
        3344.889
      </sumStat>
      <sumStat type="stdev">
        18464.454
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1233" name="NSS" files="F39" intrvl="discrete">
      <location StartPos="61" EndPos="62" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1234" name="NSC" files="F39" intrvl="discrete">
      <location StartPos="63" EndPos="65" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1235" name="MLT" files="F39" dcml="2" intrvl="contin">
      <location StartPos="66" EndPos="74" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.89" max="217338.4"/>
      </valrng>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.89
      </sumStat>
      <sumStat type="max">
        217338.4
      </sumStat>
      <sumStat type="mean">
        2724.657
      </sumStat>
      <sumStat type="stdev">
        3972.307
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1238" name="Weight" wgt="wgt" files="F39" dcml="2" intrvl="contin">
      <location StartPos="75" EndPos="81" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02945" max="1086.692"/>
      </valrng>
      <sumStat type="vald">
        41162
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0294
      </sumStat>
      <sumStat type="max">
        1086.692
      </sumStat>
      <sumStat type="mean">
        13.726
      </sumStat>
      <sumStat type="stdev">
        20.575
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1262" name="HHID" files="F40" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1239" name="CentreCodeRndShift" files="F40" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1240" name="Vill_Blk_Slno" files="F40" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1241" name="Round" files="F40" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          9587852
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1242" name="Schedule" files="F40" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          9587852
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1243" name="Sample" files="F40" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          9587852
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1244" name="Sector" files="F40" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          6184888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          3402964
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1245" name="State_Region" files="F40" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1263" name="State" files="F40" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          161061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          157070
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          265415
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          22011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          77551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          175335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          165422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          451936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          1116957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          562281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          78790
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          68897
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          58202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          177878
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          105554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          143736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          123673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          320456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          739412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          238097
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          294218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          178389
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          447265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          309383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          15258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          22260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          772850
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          630826
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          427645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          25060
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          14839
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          403751
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          750838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          44938
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          40598
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1246" name="District" files="F40" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1247" name="Stratum" files="F40" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1248" name="SubRound" files="F40" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          4766463
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          4821389
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1249" name="SubSample" files="F40" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          4788667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          4799185
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1250" name="FOD_SubRegion" files="F40" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1251" name="HG_SubBlkNo" files="F40" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1252" name="Second_Stratum" files="F40" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1253" name="Visit_no" files="F40" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          4794606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          4793246
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1254" name="Hhold_no" files="F40" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1255" name="Level" files="F40" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          9587852
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1256" name="B17_1_q1" files="F40" intrvl="discrete">
      <location StartPos="48" EndPos="50" width="3" RecSegNo="1"/>
      <labl>
        Item code
      </labl>
      <qstn>
        <ivuInstr>
          The codes and description of the items on which information is to be collected in cols.(3) and (4) have been specified in cols.(1) and (2) respectively.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          residential_purchase of plots
        </labl>
        <catStat type="freq">
          274645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          residential_improvement of plots
        </labl>
        <catStat type="freq">
          274689
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl><![CDATA[residential_purchase of houses, buildings or other  residential constructions]]></labl>
        <catStat type="freq">
          274694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          residential_construction of houses, buildings or other residential constructions
        </labl>
        <catStat type="freq">
          274671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl><![CDATA[residential_addition/ major rep. & alter./ improv./normal repair of  houses, buildings or other constructions]]></labl>
        <catStat type="freq">
          274686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          farm business_purchase of land
        </labl>
        <catStat type="freq">
          273936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          farm business_purchase of land rights
        </labl>
        <catStat type="freq">
          273957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          farm business_bunds and other land improvement works
        </labl>
        <catStat type="freq">
          273969
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          farm business_reclamation of land
        </labl>
        <catStat type="freq">
          273963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          farm business_orchard &amp; plantations
        </labl>
        <catStat type="freq">
          273966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          farm business_purchase of farm houses, barns &amp; animals sheds
        </labl>
        <catStat type="freq">
          273870
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          farm business_construction of farm houses, barns &amp; animals sheds
        </labl>
        <catStat type="freq">
          273930
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl><![CDATA[farm business_addition/ major rep. & alter./ improv./normal repair of  farm houses, barns & animals sheds]]></labl>
        <catStat type="freq">
          273970
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          farm business_wells
        </labl>
        <catStat type="freq">
          273950
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          farm business_other irrigation resources
        </labl>
        <catStat type="freq">
          273961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          farm business_other constructions in the farm business
        </labl>
        <catStat type="freq">
          273960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          farm business_livestock used as fixed asset
        </labl>
        <catStat type="freq">
          273976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          farm business_purchase of agricultural machinery &amp; implements
        </labl>
        <catStat type="freq">
          273812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          farm business_addition/ major rep. &amp; alter./ improv./normal repair of agricultural machinery &amp; implements
        </labl>
        <catStat type="freq">
          273963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          farm business_purchase of transport equipments
        </labl>
        <catStat type="freq">
          273875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          farm business_addition/ major rep. &amp; alter./ improv./normal repair of transport equipments
        </labl>
        <catStat type="freq">
          273957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          farm business_furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          273949
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          farm business_other expenditure on farm business
        </labl>
        <catStat type="freq">
          273890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          non-farm business_purchase of land
        </labl>
        <catStat type="freq">
          273448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          non-farm business_improvement of land
        </labl>
        <catStat type="freq">
          273658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          non-farm business_purchase of workshop, shop
        </labl>
        <catStat type="freq">
          273647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl><![CDATA[non-farm business_construction of  workshop, shop]]></labl>
        <catStat type="freq">
          273645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl><![CDATA[non-farm business_addition/ major rep. & alter./ improv./normal repair of  workshop, shop]]></labl>
        <catStat type="freq">
          273671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          non-farm business_other constructions in the non-farm business
        </labl>
        <catStat type="freq">
          273614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          non-farm business_purchase of non-farm business equipment &amp; accessories
        </labl>
        <catStat type="freq">
          273627
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          non-farm business_addition/ major rep. &amp; alter./ improv./normal repair of non-farm business equip. &amp; accessories
        </labl>
        <catStat type="freq">
          273678
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          non-farm business_purchase of transport equipment
        </labl>
        <catStat type="freq">
          273624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl><![CDATA[non-farm business_addition/ major rep. & alter./ improv./normal repair  of  transport equipments]]></labl>
        <catStat type="freq">
          273689
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          non-farm business_fumiture &amp; fixtures
        </labl>
        <catStat type="freq">
          273663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          non-farm business_other expenditure on non- farm business
        </labl>
        <catStat type="freq">
          273649
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1257" name="B17_1_q3" files="F40" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Expenditure for purchase etc.
      </labl>
      <qstn>
        <qstnLit>
          Whether any expenditure has been made by the household during the reference period for purchase of item?
        </qstnLit>
        <ivuInstr><![CDATA[For each of the items noted in cols.(1) and (2) of block 17.1, it is to be ascertained as to whether any expenditure has been made by the household during the reference period for purchase, construction, additions, major repairs & alterations, improvements .  If the response is in the affirmative, code '1' will be recorded against the appropriate item in col. (3); otherwise code '2' will be entered.  Again, it is to be ascertained for most of the items mentioned in cols.(1) and (2) as to whether any expenditure on normal repairs and maintenance has been made by the household during the reference period and the appropriate entries will be made in col.(4) in terms of codes : yes - 1; no - 2.  The reference period in question is 1.7.02 to 31.12.02 for the first visit and 1.1.03 to 30.6.03 for the second visit.  The question of normal repairs & maintenance does not arise for some of the items listed in cols.(1) and (2) of this block. Hence, a crossmark(x) has been printed in col.(4) against such items indicating that no information need be collected on normal repairs and maintenance against those items.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        9587821
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          24452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          9563369
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1258" name="B17_1_q4" files="F40" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        Normal repairs &amp; maintenance
      </labl>
      <qstn>
        <qstnLit>
          Whether any expenditure has been made by the household during the reference period for construction, additions, major repairs &amp; alterations, improvements of item?
        </qstnLit>
        <ivuInstr><![CDATA[For each of the items noted in cols.(1) and (2) of block 17.1, it is to be ascertained as to whether any expenditure has been made by the household during the reference period for purchase, construction, additions, major repairs & alterations, improvements .  If the response is in the affirmative, code '1' will be recorded against the appropriate item in col. (3); otherwise code '2' will be entered.  Again, it is to be ascertained for most of the items mentioned in cols.(1) and (2) as to whether any expenditure on normal repairs and maintenance has been made by the household during the reference period and the appropriate entries will be made in col.(4) in terms of codes : yes - 1; no - 2.  The reference period in question is 1.7.02 to 31.12.02 for the first visit and 1.1.03 to 30.6.03 for the second visit.  The question of normal repairs & maintenance does not arise for some of the items listed in cols.(1) and (2) of this block. Hence, a crossmark(x) has been printed in col.(4) against such items indicating that no information need be collected on normal repairs and maintenance against those items.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        4926177
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          yes
        </labl>
        <catStat type="freq">
          83500
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          no
        </labl>
        <catStat type="freq">
          4842677
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1259" name="NSS" files="F40" intrvl="discrete">
      <location StartPos="53" EndPos="54" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1260" name="NSC" files="F40" intrvl="discrete">
      <location StartPos="55" EndPos="57" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1261" name="MLT" files="F40" dcml="2" intrvl="contin">
      <location StartPos="58" EndPos="66" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="561457.54"/>
      </valrng>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        561457.54
      </sumStat>
      <sumStat type="mean">
        2926.137
      </sumStat>
      <sumStat type="stdev">
        5140.424
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1264" name="Weight" wgt="wgt" files="F40" dcml="2" intrvl="contin">
      <location StartPos="67" EndPos="73" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="2807.2877"/>
      </valrng>
      <sumStat type="vald">
        9587852
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        2807.288
      </sumStat>
      <sumStat type="mean">
        14.731
      </sumStat>
      <sumStat type="stdev">
        26.617
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1296" name="HHID" files="F41" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1265" name="CentreCodeRndShift" files="F41" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1266" name="Vill_Blk_Slno" files="F41" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1267" name="Round" files="F41" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          106364
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1268" name="Schedule" files="F41" intrvl="discrete">
      <location StartPos="21" EndPos="23" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          106364
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1269" name="Sample" files="F41" intrvl="discrete">
      <location StartPos="24" EndPos="24" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          106364
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1270" name="Sector" files="F41" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          79381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          26983
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1271" name="State_Region" files="F41" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1297" name="State" files="F41" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          3562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          3135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          3506
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          1117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          4605
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          17056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          5260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          1321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          591
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          2982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          7508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          2137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          4275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          3366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          7975
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          3934
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          6288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          5370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          4334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          3078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          6953
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1272" name="District" files="F41" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1273" name="Stratum" files="F41" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1274" name="SubRound" files="F41" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          53673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          52691
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1275" name="SubSample" files="F41" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          53150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          53214
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1276" name="FOD_SubRegion" files="F41" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1277" name="HG_SubBlkNo" files="F41" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1278" name="Second_Stratum" files="F41" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1279" name="Visit_no" files="F41" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          58752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          47612
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1280" name="Hhold_no" files="F41" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1281" name="Level" files="F41" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          106364
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1282" name="B17_2_q1" files="F41" intrvl="discrete">
      <location StartPos="48" EndPos="50" width="3" RecSegNo="1"/>
      <labl>
        Item code
      </labl>
      <qstn>
        <ivuInstr>
          All those items having code '1' in either or both of the cols.(3) and (4) in block 17.1 i.e. the items on which the household incurred capital expenditure during the reference period, will be copied in cols.(1) and (2) of this block.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          residential_purchase of plots
        </labl>
        <catStat type="freq">
          332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          residential_improvement of plots
        </labl>
        <catStat type="freq">
          264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl><![CDATA[residential_purchase of houses, buildings or other  residential constructions]]></labl>
        <catStat type="freq">
          341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          residential_construction of houses, buildings or other residential constructions
        </labl>
        <catStat type="freq">
          2726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl><![CDATA[residential_addition/ major rep. & alter./ improv./normal repair of  houses, buildings or other constructions]]></labl>
        <catStat type="freq">
          40378
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          farm business_purchase of land
        </labl>
        <catStat type="freq">
          228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          farm business_purchase of land rights
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          farm business_bunds and other land improvement works
        </labl>
        <catStat type="freq">
          1584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          farm business_reclamation of land
        </labl>
        <catStat type="freq">
          533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          farm business_orchard &amp; plantations
        </labl>
        <catStat type="freq">
          990
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          farm business_purchase of farm houses, barns &amp; animals sheds
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          farm business_construction of farm houses, barns &amp; animals sheds
        </labl>
        <catStat type="freq">
          289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl><![CDATA[farm business_addition/ major rep. & alter./ improv./normal repair of  farm houses, barns & animals sheds]]></labl>
        <catStat type="freq">
          1898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          farm business_wells
        </labl>
        <catStat type="freq">
          610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          farm business_other irrigation resources
        </labl>
        <catStat type="freq">
          827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          farm business_other constructions in the farm business
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          farm business_livestock used as fixed asset
        </labl>
        <catStat type="freq">
          5547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          farm business_purchase of agricultural machinery &amp; implements
        </labl>
        <catStat type="freq">
          3401
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          farm business_addition/ major rep. &amp; alter./ improv./normal repair of agricultural machinery &amp; implements
        </labl>
        <catStat type="freq">
          15661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          farm business_purchase of transport equipments
        </labl>
        <catStat type="freq">
          167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          farm business_addition/ major rep. &amp; alter./ improv./normal repair of transport equipments
        </labl>
        <catStat type="freq">
          5527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          217
        </catValu>
        <labl>
          farm business_furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          farm business_other expenditure on farm business
        </labl>
        <catStat type="freq">
          787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          non-farm business_purchase of land
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          non-farm business_improvement of land
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          non-farm business_purchase of workshop, shop
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl><![CDATA[non-farm business_construction of  workshop, shop]]></labl>
        <catStat type="freq">
          186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl><![CDATA[non-farm business_addition/ major rep. & alter./ improv./normal repair of  workshop, shop]]></labl>
        <catStat type="freq">
          1262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          non-farm business_other constructions in the non-farm business
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          non-farm business_purchase of non-farm business equipment &amp; accessories
        </labl>
        <catStat type="freq">
          1455
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          non-farm business_addition/ major rep. &amp; alter./ improv./normal repair of non-farm business equip. &amp; accessories
        </labl>
        <catStat type="freq">
          5275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          non-farm business_purchase of transport equipment
        </labl>
        <catStat type="freq">
          567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl><![CDATA[non-farm business_addition/ major rep. & alter./ improv./normal repair  of  transport equipments]]></labl>
        <catStat type="freq">
          13117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          non-farm business_fumiture &amp; fixtures
        </labl>
        <catStat type="freq">
          873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          non-farm business_other expenditure on non- farm business
        </labl>
        <catStat type="freq">
          867
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1283" name="B17_2_q3" files="F41" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Purpose of expenditure
      </labl>
      <qstn>
        <qstnLit>
          What is the purpose of incurring expenditure on specified items by the household ?
        </qstnLit>
        <ivuInstr>
          The purpose (code) for which the expenditure has been incurred will be recorded in col. (4).
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        106361
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl><![CDATA[purchase (new)  (incl. purchase of land rights etc.)]]></labl>
        <catStat type="freq">
          10634
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          additions (incl. reclamation of land / construction)
        </labl>
        <catStat type="freq">
          4986
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl><![CDATA[major repairs &   alterations (including renewal & replacement) ]]></labl>
        <catStat type="freq">
          6028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl><![CDATA[improvement (incl. bunding and other land improvements/normal annual  replanting  in case of orchard and plantations) ]]></labl>
        <catStat type="freq">
          2273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          normal repairs &amp; maintenance
        </labl>
        <catStat type="freq">
          82440
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1284" name="B17_2_q4" files="F41" dcml="0" intrvl="contin">
      <location StartPos="52" EndPos="58" width="7" RecSegNo="1"/>
      <labl>
        Exp.in cash-Purchase of assets etc. (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[How much expenditure was incurred in cash  by the household for the purchase of the asset?]]></qstnLit>
        <ivuInstr><![CDATA[The amount of expenditure incurred in cash will be recorded in cols.(4) and (5) and that in kind in cols. (6) and (7).  The expenditure in kind will be evaluated at the current market price prevailing in the locality or its neighborhood.  If a new physical asset is purchased, the purchase price will be recorded in cols. (4) and/or (6), depending upon whether the expenditure is made in cash or in kind or in both. When some materials are purchased during or before the reference period for own construction (including improvement etc.) normal maintenance of physical asset, the value of the materials used in the construction/maintenance work during the reference period will be recorded in cols. (4) and/or (6), as the case may be.  The  payment made to labour hired during the reference period for construction, improvement etc., and normal maintenance of the physical asset, will be recorded in cols.(5) or (7), depending on whether the payment is made in cash or in kind.  In case the payment is partly in cash and partly in kind, cash part will be shown in col.(5) and the value of kind payment in col.(7).  Payment made to the regular workers engaged by the household for work in farm or non-farm business will not be considered for recording entries here.  But such payment will be considered for recording entry in col. (9) along with the value of labour put by the household members for the enterprise.  Hired labour will include all manual and non-manual work like architect, plumbers etc.  In the case of credit purchase, the value of the materials used during the reference period will be considered, irrespective of whether the payment is made during the reference period or not.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="5000000"/>
      </valrng>
      <sumStat type="vald">
        84773
      </sumStat>
      <sumStat type="invd">
        21591
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5000000
      </sumStat>
      <sumStat type="mean">
        7337.697
      </sumStat>
      <sumStat type="stdev">
        49319.107
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1285" name="B17_2_q5" files="F41" dcml="0" intrvl="contin">
      <location StartPos="59" EndPos="64" width="6" RecSegNo="1"/>
      <labl>
        Exp.in cash-Payment to hired labour (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[How much expenditure was incurred in cash  by the household for the payment of hired labour?]]></qstnLit>
        <ivuInstr><![CDATA[The amount of expenditure incurred in cash will be recorded in cols.(4) and (5) and that in kind in cols. (6) and (7).  The expenditure in kind will be evaluated at the current market price prevailing in the locality or its neighborhood.  If a new physical asset is purchased, the purchase price will be recorded in cols. (4) and/or (6), depending upon whether the expenditure is made in cash or in kind or in both. When some materials are purchased during or before the reference period for own construction (including improvement etc.) normal maintenance of physical asset, the value of the materials used in the construction/maintenance work during the reference period will be recorded in cols. (4) and/or (6), as the case may be.  The  payment made to labour hired during the reference period for construction, improvement etc., and normal maintenance of the physical asset, will be recorded in cols.(5) or (7), depending on whether the payment is made in cash or in kind.  In case the payment is partly in cash and partly in kind, cash part will be shown in col.(5) and the value of kind payment in col.(7).  Payment made to the regular workers engaged by the household for work in farm or non-farm business will not be considered for recording entries here.  But such payment will be considered for recording entry in col. (9) along with the value of labour put by the household members for the enterprise.  Hired labour will include all manual and non-manual work like architect, plumbers etc.  In the case of credit purchase, the value of the materials used during the reference period will be considered, irrespective of whether the payment is made during the reference period or not.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="550000"/>
      </valrng>
      <sumStat type="vald">
        71777
      </sumStat>
      <sumStat type="invd">
        34587
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        550000
      </sumStat>
      <sumStat type="mean">
        1720.611
      </sumStat>
      <sumStat type="stdev">
        9132.19
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1286" name="B17_2_q6" files="F41" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="70" width="6" RecSegNo="1"/>
      <labl>
        Exp.in kind-Purchase of assets etc. (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much expenditure was incurred in kind by the household for the purchase of the asset?
        </qstnLit>
        <ivuInstr><![CDATA[The amount of expenditure incurred in cash will be recorded in cols.(4) and (5) and that in kind in cols. (6) and (7).  The expenditure in kind will be evaluated at the current market price prevailing in the locality or its neighborhood.  If a new physical asset is purchased, the purchase price will be recorded in cols. (4) and/or (6), depending upon whether the expenditure is made in cash or in kind or in both. When some materials are purchased during or before the reference period for own construction (including improvement etc.) normal maintenance of physical asset, the value of the materials used in the construction/maintenance work during the reference period will be recorded in cols. (4) and/or (6), as the case may be.  The  payment made to labour hired during the reference period for construction, improvement etc., and normal maintenance of the physical asset, will be recorded in cols.(5) or (7), depending on whether the payment is made in cash or in kind.  In case the payment is partly in cash and partly in kind, cash part will be shown in col.(5) and the value of kind payment in col.(7).  Payment made to the regular workers engaged by the household for work in farm or non-farm business will not be considered for recording entries here.  But such payment will be considered for recording entry in col. (9) along with the value of labour put by the household members for the enterprise.  Hired labour will include all manual and non-manual work like architect, plumbers etc.  In the case of credit purchase, the value of the materials used during the reference period will be considered, irrespective of whether the payment is made during the reference period or not.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="450000"/>
      </valrng>
      <sumStat type="vald">
        1558
      </sumStat>
      <sumStat type="invd">
        104806
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        450000
      </sumStat>
      <sumStat type="mean">
        3081.352
      </sumStat>
      <sumStat type="stdev">
        18383.802
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1287" name="B17_2_q7" files="F41" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="75" width="5" RecSegNo="1"/>
      <labl>
        Exp.in kind-Payment to hired labour (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much expenditure was incurred in kind by the household for the payment of hired labour?
        </qstnLit>
        <ivuInstr><![CDATA[The amount of expenditure incurred in cash will be recorded in cols.(4) and (5) and that in kind in cols. (6) and (7).  The expenditure in kind will be evaluated at the current market price prevailing in the locality or its neighborhood.  If a new physical asset is purchased, the purchase price will be recorded in cols. (4) and/or (6), depending upon whether the expenditure is made in cash or in kind or in both. When some materials are purchased during or before the reference period for own construction (including improvement etc.) normal maintenance of physical asset, the value of the materials used in the construction/maintenance work during the reference period will be recorded in cols. (4) and/or (6), as the case may be.  The  payment made to labour hired during the reference period for construction, improvement etc., and normal maintenance of the physical asset, will be recorded in cols.(5) or (7), depending on whether the payment is made in cash or in kind.  In case the payment is partly in cash and partly in kind, cash part will be shown in col.(5) and the value of kind payment in col.(7).  Payment made to the regular workers engaged by the household for work in farm or non-farm business will not be considered for recording entries here.  But such payment will be considered for recording entry in col. (9) along with the value of labour put by the household members for the enterprise.  Hired labour will include all manual and non-manual work like architect, plumbers etc.  In the case of credit purchase, the value of the materials used during the reference period will be considered, irrespective of whether the payment is made during the reference period or not.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="50000"/>
      </valrng>
      <sumStat type="vald">
        6763
      </sumStat>
      <sumStat type="invd">
        99601
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        50000
      </sumStat>
      <sumStat type="mean">
        382.664
      </sumStat>
      <sumStat type="stdev">
        1540.611
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1288" name="B17_2_q8" files="F41" dcml="0" intrvl="contin">
      <location StartPos="76" EndPos="81" width="6" RecSegNo="1"/>
      <labl>
        Value-out of home produced stock (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          What is the market value of the home produced assets and materials actually used for the construction, improvement etc., of the asset during the reference period?
        </qstnLit>
        <ivuInstr><![CDATA[The value of the home produced assets and materials actually used for the construction, improvement etc., of the asset during the reference period will be recorded in col. (8).  However, this will not include the value of commodities paid to hired labour as their payment in kind.  Such payment will be considered for making entries in col. (7).  The home-produced asset and materials used for construction, improvement etc., of the listed asset may have been produced during or before the reference period.  Such assets and materials supplied by the household will be evaluated at current market price prevailing in the locality during the reference period.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="150000"/>
      </valrng>
      <sumStat type="vald">
        13933
      </sumStat>
      <sumStat type="invd">
        92431
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        150000
      </sumStat>
      <sumStat type="mean">
        958.921
      </sumStat>
      <sumStat type="stdev">
        3823.865
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1289" name="B17_2_q9" files="F41" dcml="0" intrvl="contin">
      <location StartPos="82" EndPos="87" width="6" RecSegNo="1"/>
      <labl>
        Value of work done by hhld. memb. (Rs.)
      </labl>
      <qstn>
        <qstnLit><![CDATA[What is the market value of  labour put by the household members including regular workers engaged in farm or non-farm business, guests etc., in connection with the manual work needed for repairs, construction etc., of bunds, wells or houses or any other items of physical assets in farm or non-farm business during the reference period?]]></qstnLit>
        <ivuInstr><![CDATA[The value of labour put by the household members including regular workers engaged in farm or non-farm business, guests etc., in connection with the manual work needed for repairs, construction etc., of bunds, wells or houses or any other items of physical assets in farm or non-farm business will be recorded in col. (9).  In evaluating such work, the contribution of free labour or exchange labour will be included.  This work will be evaluated using the average wage paid to hired labour for such work.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="170000"/>
      </valrng>
      <sumStat type="vald">
        39921
      </sumStat>
      <sumStat type="invd">
        66443
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        170000
      </sumStat>
      <sumStat type="mean">
        472.492
      </sumStat>
      <sumStat type="stdev">
        1858.883
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1290" name="B17_2_q10" files="F41" dcml="0" intrvl="contin">
      <location StartPos="88" EndPos="94" width="7" RecSegNo="1"/>
      <labl>
        Total (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much total expenditure was incurred in cash or kind by the household on the specified item?
        </qstnLit>
        <ivuInstr>
          Total of cols. (4) to (9) will be recorded in col. (10).
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="5000000"/>
      </valrng>
      <sumStat type="vald">
        106293
      </sumStat>
      <sumStat type="invd">
        71
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5000000
      </sumStat>
      <sumStat type="mean">
        7386.663
      </sumStat>
      <sumStat type="stdev">
        48183.028
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1291" name="B17_2_q11" files="F41" dcml="0" intrvl="contin">
      <location StartPos="95" EndPos="101" width="7" RecSegNo="1"/>
      <labl>
        Amount financed from inst.agency (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Of the total expenditure incurred during the reference period, how much amount has been financed through borrowings from institutional agency?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes expenditure on some items are financed partly or wholly from borrowings.  Of the total expenditure  incurred during the reference period, the amount financed from borrowings is to be recorded in cols. (11) and/or (12) depending on whether the lending agency is an institutional or a non-institutional one.  The institutional agencies has already been defined in para 4.15.14.  In the case of credit purchase of an asset or the materials for construction etc. of an asset, the amount outstanding at the end of the reference period will be considered as the amount financed from borrowings.  Again, if at the end of the reference period, some amount remains payable to the hired labour used during the reference period for construction of a physical asset, the amount will be treated as financed from borrowings.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="2000000"/>
      </valrng>
      <sumStat type="vald">
        2512
      </sumStat>
      <sumStat type="invd">
        103852
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2000000
      </sumStat>
      <sumStat type="mean">
        72124.693
      </sumStat>
      <sumStat type="stdev">
        136887.283
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1292" name="B17_2_q12" files="F41" dcml="0" intrvl="contin">
      <location StartPos="102" EndPos="108" width="7" RecSegNo="1"/>
      <labl>
        Amount financed from non-inst.ag. (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Of the total expenditure incurred during the reference period, how much amount has been financed through borrowings from non-institutional agency?
        </qstnLit>
        <ivuInstr><![CDATA[Sometimes expenditure on some items are financed partly or wholly from borrowings.  Of the total expenditure as defined in para 4.17.6 incurred during the reference period, the amount financed from borrowings is to be recorded in cols. (11) and/or (12) depending on whether the lending agency is an institutional or a non-institutional one.  The institutional agencies has already been defined in para 4.15.14.  In the case of credit purchase of an asset or the materials for construction etc. of an asset, the amount outstanding at the end of the reference period will be considered as the amount financed from borrowings.  Again, if at the end of the reference period, some amount remains payable to the hired labour used during the reference period for construction of a physical asset, the amount will be treated as financed from borrowings.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1100000"/>
      </valrng>
      <sumStat type="vald">
        3265
      </sumStat>
      <sumStat type="invd">
        103099
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1100000
      </sumStat>
      <sumStat type="mean">
        19006.239
      </sumStat>
      <sumStat type="stdev">
        46998.791
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1293" name="NSS" files="F41" intrvl="discrete">
      <location StartPos="109" EndPos="110" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1294" name="NSC" files="F41" intrvl="discrete">
      <location StartPos="111" EndPos="113" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1295" name="MLT" files="F41" dcml="2" intrvl="contin">
      <location StartPos="114" EndPos="122" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.27" max="561457.54"/>
      </valrng>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.27
      </sumStat>
      <sumStat type="max">
        561457.54
      </sumStat>
      <sumStat type="mean">
        3055.301
      </sumStat>
      <sumStat type="stdev">
        5080.012
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1298" name="Weight" wgt="wgt" files="F41" dcml="2" intrvl="contin">
      <location StartPos="123" EndPos="129" width="7" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02635" max="2807.2877"/>
      </valrng>
      <sumStat type="vald">
        106364
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0263
      </sumStat>
      <sumStat type="max">
        2807.288
      </sumStat>
      <sumStat type="mean">
        15.345
      </sumStat>
      <sumStat type="stdev">
        25.709
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1324" name="HHID" files="F42" intrvl="discrete">
      <location StartPos="1" EndPos="10" width="10" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This variable has been derived for identifying a household by combining FSU, hamlet group, second stage stratum, visit number and sample household number.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1299" name="CentreCodeRndShift" files="F42" intrvl="discrete">
      <location StartPos="11" EndPos="13" width="3" RecSegNo="1"/>
      <labl>
        Centre code,Round and Shift
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1300" name="Vill_Blk_Slno" files="F42" intrvl="discrete">
      <location StartPos="14" EndPos="18" width="5" RecSegNo="1"/>
      <labl>
        FSU Serial No.
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The first-stage units are census villages in  the rural sector and the NSSO urban frame survey (UFS) blocks in  the urban  sector. This variable indicates the serial number assigned to such units.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1301" name="Round" files="F42" intrvl="discrete">
      <location StartPos="19" EndPos="20" width="2" RecSegNo="1"/>
      <labl>
        Round
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the NSS round number of this survey.
      </txt>
      <catgry>
        <catValu>
          59
        </catValu>
        <catStat type="freq">
          36536
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1303" name="Sample" files="F42" intrvl="discrete">
      <location StartPos="21" EndPos="21" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          36536
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1302" name="Schedule" files="F42" intrvl="discrete">
      <location StartPos="22" EndPos="24" width="3" RecSegNo="1"/>
      <labl>
        Schedule
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates the schedule number of this survey.
      </txt>
      <catgry>
        <catValu>
          182
        </catValu>
        <catStat type="freq">
          36536
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1304" name="Sector" files="F42" intrvl="discrete">
      <location StartPos="25" EndPos="25" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector : A word used for the rural-urban demarcation.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          29854
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          6682
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1305" name="State_Region" files="F42" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State-Region
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1325" name="State" files="F42" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          Jammu &amp; Kashmir
        </labl>
        <catStat type="freq">
          2012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          Himachal Pradesh
        </labl>
        <catStat type="freq">
          909
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          Punjab
        </labl>
        <catStat type="freq">
          1122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Chandigarh
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl>
          Uttaranchal
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          Haryana
        </labl>
        <catStat type="freq">
          1201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          Delhi
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          Rajasthan
        </labl>
        <catStat type="freq">
          2194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl>
          Uttar Pradesh
        </labl>
        <catStat type="freq">
          5949
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          2694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Sikkim
        </labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Arunachal Pradesh
        </labl>
        <catStat type="freq">
          346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Nagaland
        </labl>
        <catStat type="freq">
          663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Manipur
        </labl>
        <catStat type="freq">
          1677
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mizoram
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Tripura
        </labl>
        <catStat type="freq">
          819
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Meghalaya
        </labl>
        <catStat type="freq">
          1211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Assam
        </labl>
        <catStat type="freq">
          1274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          West Bengal
        </labl>
        <catStat type="freq">
          2450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Jharkhand
        </labl>
        <catStat type="freq">
          121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Orissa
        </labl>
        <catStat type="freq">
          1412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Chhattisgarh
        </labl>
        <catStat type="freq">
          1137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Madhya Pradesh
        </labl>
        <catStat type="freq">
          2193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Gujrat
        </labl>
        <catStat type="freq">
          497
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Daman &amp; Diu
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Dadra &amp; Nagar Haveli
        </labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Maharastra
        </labl>
        <catStat type="freq">
          2417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Andhra Pardesh
        </labl>
        <catStat type="freq">
          857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Karnataka
        </labl>
        <catStat type="freq">
          369
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Goa
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Lakshadweep
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Kerala
        </labl>
        <catStat type="freq">
          1230
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Tamil Nadu
        </labl>
        <catStat type="freq">
          961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Pondicheri
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Andaman &amp; Nicober
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived from the variable "State_Region" to enable the users to easily access state wise data.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1306" name="District" files="F42" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1307" name="Stratum" files="F42" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Within each district of a State/ UT, two basic strata were formed:
(i) rural stratum comprising of all rural areas of the district and 
(ii) urban stratum comprising of all the urban areas of the district.]]></txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1308" name="SubRound" files="F42" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Sub-Round
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          17864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          18672
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1309" name="SubSample" files="F42" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Sub-sample
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[An important feature of the NSS sampling design is that  the total sample of first stage units is drawn in the form of two  or more independent and parallel samples, termed as interpenetrating sub-samples. Each sub- sample is  drawn by the same 
sampling scheme and is capable of providing valid estimates of the population parameters. The comparison of sub-sample wise estimates shows  the margin of uncertainty associated with the combined sample estimate. 
 
Interpenetrating sub-samples have been used in NSS (i) to obtain valid estimates from each sub-round (season) of the survey  round, and (ii) to ensure that Central and State samples for any State/ UT cover independent and equally valid samples of units. 

The samples surveyed by the NSSO staff are termed as Central sample and the matched samples surveyed by State Government staff are termed as State sample.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Central sample
        </labl>
        <catStat type="freq">
          18004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          18532
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1315" name="Level" files="F42" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Level
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          36536
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1310" name="FOD_SubRegion" files="F42" intrvl="discrete">
      <location StartPos="39" EndPos="42" width="4" RecSegNo="1"/>
      <labl>
        FOD-Sub-Region
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1311" name="HG_SubBlkNo" files="F42" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Hamlet group/Sub-block no.
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1312" name="Second_Stratum" files="F42" intrvl="discrete">
      <location StartPos="44" EndPos="44" width="1" RecSegNo="1"/>
      <labl>
        Second-stage-stratum no.
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1313" name="Visit_no" files="F42" intrvl="discrete">
      <location StartPos="45" EndPos="45" width="1" RecSegNo="1"/>
      <labl>
        Visit number
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          17122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          19414
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1314" name="Hhold_no" files="F42" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Sample hhld. No.
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1316" name="B18_q1" files="F42" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Srl. No.
      </labl>
      <qstn>
        <ivuInstr><![CDATA[This block is meant for recording the details of the sale of physical assets and loss of physical assets caused by natural calamities or otherwise during the reference period of 1.7.02 to 31.12.02 and 1.1.03 to 30.6.03 in visit 1 and 2 respectively.  In this block sale of new and old assets will be considered.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          01
        </catValu>
        <labl>
          residential plots
        </labl>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl>
          residential buildings
        </labl>
        <catStat type="freq">
          1106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl>
          farm business - land
        </labl>
        <catStat type="freq">
          267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          farm business - bunds and other land improvement works
        </labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[farm business - farm houses, barns, animal shed and  other constructions]]></labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl>
          farm business - wells &amp; other irrigation sources
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl>
          farm business - orchard &amp; plantations
        </labl>
        <catStat type="freq">
          512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl>
          farm business - livestock used as fixed asset
        </labl>
        <catStat type="freq">
          3482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[farm business - agricultural  machinery  and implements]]></labl>
        <catStat type="freq">
          1396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          farm business - transport equipments
        </labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          farm business - furniture and fixtures
        </labl>
        <catStat type="freq">
          265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          farm business - other farm business assets
        </labl>
        <catStat type="freq">
          310
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          non-farm business - land
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          non-farm business - workshop, shop &amp; other constructions
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          non-farm business - non-farm business equipment &amp; accessories
        </labl>
        <catStat type="freq">
          453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          non-farm business - transport equipments
        </labl>
        <catStat type="freq">
          262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          non-farm business - furniture &amp; fixture
        </labl>
        <catStat type="freq">
          146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          non-farm business - other non-farm business assets
        </labl>
        <catStat type="freq">
          270
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          livestock &amp; poultry kept as inventory
        </labl>
        <catStat type="freq">
          5485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          financial assets
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          transport equipment for household use
        </labl>
        <catStat type="freq">
          464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          bullion/ornaments
        </labl>
        <catStat type="freq">
          604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          household durable goods
        </labl>
        <catStat type="freq">
          4187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          total ( items 1 to 23 )
        </labl>
        <catStat type="freq">
          16566
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1317" name="B18_q3" files="F42" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="56" width="7" RecSegNo="1"/>
      <labl>
        Amount received from sale (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount was received by the household from the sale of the asset?
        </qstnLit>
        <ivuInstr>
          The term 'sale' here will mean all transfer of assets to others in return for payments received in cash or in kind. The payments received in kind will be evaluated at the current market prices prevailing in the locality during the period under reference. The amount received from sale will be recorded in col. (3) in respect of each category of items sold.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="1700000"/>
      </valrng>
      <sumStat type="vald">
        13774
      </sumStat>
      <sumStat type="invd">
        22762
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1700000
      </sumStat>
      <sumStat type="mean">
        9972.878
      </sumStat>
      <sumStat type="stdev">
        49349.185
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1318" name="B18_q4" files="F42" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="62" width="6" RecSegNo="1"/>
      <labl>
        Value of loss by natural calamities (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount was amount of loss borne by the household from the damage of the asset by natural calamities?
        </qstnLit>
        <ivuInstr><![CDATA[The loss of assets may be caused by natural calamities or on account of other reasons.  The value of the loss which may be total or partial for the item, will be recorded in cols. (4) and/or (5) depending on whether the loss is due to natural calamities or other reasons.  The natural calamities will include flood, rain, fire, cyclone, earthquake etc.  The loss due to other reasons will include cases of accident; theft, eaten by termites etc.  The value of the loss will be estimated as the expenditure required to be incurred to restore it to the same condition as it was prior to the loss. An asset having no use to the household may be discarded during the reference period.  This asset may be in very poor condition and it is not likely to be sold for its intended purpose.  Still it may have some scrap value which will be recorded in col. (6).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="200000"/>
      </valrng>
      <sumStat type="vald">
        5683
      </sumStat>
      <sumStat type="invd">
        30853
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        200000
      </sumStat>
      <sumStat type="mean">
        4922.657
      </sumStat>
      <sumStat type="stdev">
        12390.381
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1319" name="B18_q5" files="F42" dcml="0" intrvl="contin">
      <location StartPos="63" EndPos="68" width="6" RecSegNo="1"/>
      <labl>
        Value of loss due to other reasons (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          How much amount of loss was borne by the household from the damage of the asset due to other reasons?
        </qstnLit>
        <ivuInstr><![CDATA[The loss of assets may be caused by natural calamities or on account of other reasons.  The value of the loss which may be total or partial for the item, will be recorded in cols. (4) and/or (5) depending on whether the loss is due to natural calamities or other reasons.  The natural calamities will include flood, rain, fire, cyclone, earthquake etc.  The loss due to other reasons will include cases of accident; theft, eaten by termites etc.  The value of the loss will be estimated as the expenditure required to be incurred to restore it to the same condition as it was prior to the loss. An asset having no use to the household may be discarded during the reference period.  This asset may be in very poor condition and it is not likely to be sold for its intended purpose.  Still it may have some scrap value which will be recorded in col. (6).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="800000"/>
      </valrng>
      <sumStat type="vald">
        12882
      </sumStat>
      <sumStat type="invd">
        23654
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        800000
      </sumStat>
      <sumStat type="mean">
        3212.13
      </sumStat>
      <sumStat type="stdev">
        14729.519
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1320" name="B18_q6" files="F42" dcml="0" intrvl="contin">
      <location StartPos="69" EndPos="74" width="6" RecSegNo="1"/>
      <labl>
        Salvage value of discarded assets (Rs.)
      </labl>
      <qstn>
        <qstnLit>
          Though the asset has been damaged, still it may have some scrap value. How much is the current scrap value of the asset?
        </qstnLit>
        <ivuInstr><![CDATA[The loss of assets may be caused by natural calamities or on account of other reasons.  The value of the loss which may be total or partial for the item, will be recorded in cols. (4) and/or (5) depending on whether the loss is due to natural calamities or other reasons.  The natural calamities will include flood, rain, fire, cyclone, earthquake etc.  The loss due to other reasons will include cases of accident; theft, eaten by termites etc.  The value of the loss will be estimated as the expenditure required to be incurred to restore it to the same condition as it was prior to the loss. An asset having no use to the household may be discarded during the reference period.  This asset may be in very poor condition and it is not likely to be sold for its intended purpose.  Still it may have some scrap value which will be recorded in col. (6).]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="220000"/>
      </valrng>
      <sumStat type="vald">
        11588
      </sumStat>
      <sumStat type="invd">
        24948
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        220000
      </sumStat>
      <sumStat type="mean">
        981.266
      </sumStat>
      <sumStat type="stdev">
        5769.764
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1321" name="NSS" files="F42" intrvl="discrete">
      <location StartPos="75" EndPos="76" width="2" RecSegNo="1"/>
      <labl>
        NSS
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1322" name="NSC" files="F42" intrvl="discrete">
      <location StartPos="77" EndPos="79" width="3" RecSegNo="1"/>
      <labl>
        NSC
      </labl>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V1323" name="MLT" files="F42" dcml="2" intrvl="contin">
      <location StartPos="80" EndPos="88" width="9" RecSegNo="1"/>
      <labl>
        Multiplier
      </labl>
      <valrng>
        <range UNITS="REAL" min="5.89" max="129411.4"/>
      </valrng>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        5.89
      </sumStat>
      <sumStat type="max">
        129411.4
      </sumStat>
      <sumStat type="mean">
        2775.596
      </sumStat>
      <sumStat type="stdev">
        3945.768
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V1326" name="Weight" wgt="wgt" files="F42" dcml="2" intrvl="contin">
      <location StartPos="89" EndPos="94" width="6" RecSegNo="1"/>
      <labl>
        Weight
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.02945" max="749.4358"/>
      </valrng>
      <sumStat type="vald">
        36536
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0294
      </sumStat>
      <sumStat type="max">
        749.436
      </sumStat>
      <sumStat type="mean">
        13.981
      </sumStat>
      <sumStat type="stdev">
        20.871
      </sumStat>
      <codInstr><![CDATA[Weight = MLT/200,   if NSC > NSS.
            = MLT/100,   otherwise.]]></codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
