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  <docDscr>
    <citation>
      <titlStmt>
        <titl>NSSO_38_Schedule_1_Household Consumer Expenditure</titl>
        <IDNo>DDI-IND-MOSPI-NSSO-38Rnd-Sch1.0-1983</IDNo>
      </titlStmt>
      <rspStmt>
        <othId role="Generation of study document" affiliation="Organisation for Economic Co-operation and Development (OECD), Paris and Computer centre MOSPI, India">
          <p>
            Shalini Gupta
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="MOSPI, CC" affiliation="M" role="Documentation of the study">Computer Centre</producer>
        <prodDate date="2012-04-11">
          2012-04-11
        </prodDate>
        <software version="4.0.9" date="2013-04-23">Nesstar Publisher</software>
      </prodStmt>
      <verStmt>
        <version>Version 1.0 (April 2012)</version>
      </verStmt>
      <holdings URI="http:\\mospi.nic.in/mospi_New/site_home.aspx"/>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>Household Consumer Expenditure: NSS 38th Round, Schedule 1, January - December 1983</titl>
        <altTitl>
          NSS 38th Round
        </altTitl>
        <IDNo>DDI-IND-MOSPI-NSSO-38Rnd-Sch1.0-1983</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI)">National Sample Survey Office</AuthEnty>
        <othId role="Finalisation of survey study" affiliation="GOI">
          <p>
            Governing council and Working Group
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="SDRD" affiliation="National Sample Survey Office " role="Questionnaire Desgn, Sampling methodology,Survey Reports  Questionnaire Desgn, Sampling methodology,Survey Reports  Questionnaire Design, Sampling methodology, Survey Reports">
          Survey Design Reearch Division
        </producer>
        <producer abbr="FOD" affiliation="National Sample Survey Office " role="Field Work">
          Field Operations Division
        </producer>
        <producer abbr="DPD" affiliation="National Sample Survey Office " role="Data Processing">
          Data Processing Division
        </producer>
        <producer abbr="CC, MOSPI" affiliation="M/o Statistics and Programme Implementation(MOSPI),Government of India (GOI)" role="Tabulation and Dissemination">
          Computer Centre
        </producer>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
        <fundAg abbr="MOSPI">M/o Statistics &amp; Programme Implementation, GOI</fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="M/O Statistics &amp; PI, G/O India " URI="http://mospi.gov.in/">ADG, SDRD , NSSO</contact>
        <contact affiliation="M/O Statistics &amp; PI, G/O India " URI="http://mospi.nic.in/Mospi_New/site/home.aspx">
          DDG, Computer Centre
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Socio-Economic/Monitoring Survey [hh/sems]
        </serName>
        <serInfo><![CDATA[The National Sample Survey Organisation (NSSO) has been set up by the Government of India in 1950 to collect socio-economic data employing scientific sampling methods. The NSSO conducts regular consumer expenditure surveys as part of its "rounds", each round being normally of a year's duration and covering more than one subject of study. The surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country. Surveys on consumer expenditure are being conducted quinquennially on a large sample of households from the 27th round (October 1972 - September 1973) onwards. The third quinquennial survey on household consumer  expenditure was carried out during January-December, 1983.  The Second Quinquennial  Survey on household consumer Expenditure was carried out last in the NSS 32nd  round (1977-78).  The present survey like the previous one, covered the entire population. Expenditure incurred by the sample household for the purpose of domestic consumption were collected for the 30 days preceding the date of survey.  No account has, however, been taken  of any expenditure incurred towards the productive enterprises of the household. 

A three-digit code system, for identification of each item of consumer expenditure, has been introduced in this round: the hundreds and tens place indicates a broad division of items; the hundreds and tens place together specify a group of items and all the three digits together indicates a particular item.  In the system of code structure introduced here, an item code ending with 9 represents 'others' that is any item not classified under the particular group.  Similarly, a code with 'O' in the units place would be identified as a sub-total item.

The field work for the survey was conducted, as usual, by the Field Operations Division of the Organisation. The collected data were processed by the Data Processing Division of NSSO and tabulated by the Computer Centre of Department of Statistics. The reports have been prepared by Survey Design & Research Division (SDRD) of NSSO under the guidance of the Governing Council, NSSO.]]></serInfo>
      </serStmt>
      <verStmt>
        <version date="2012-04-11"></version>
      </verStmt>
    </citation>
    <stdyInfo>
      <abstract>The National Sample Survey Office (NSSO)  conducts regular consumer expenditure surveys as part of its "rounds", each round being normally of a year's duration and covering more than one subject of study. The surveys are conducted through household interviews, using a random sample of households covering practically the entire geographical area of the country. Surveys on consumer expenditure are being conducted quinquennially on a large sample of households from the 27th round (October 1972 - September 1973) onwards. Household consumer expenditure is measured as the expenditure incurred by a household on domestic account during a specified period, called reference period. It includes the imputed values of goods and services, which are not purchased but procured otherwise for consumption. In other words, it is the sum total of monetary values of all the items (i.e. goods and services) consumed by the household on domestic account during the reference period. The imputed rent of owner-occupied houses is excluded from consumption expenditure. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure. The schedule also collected some other household particulars including age, sex and educational level etc. of each household member. The third quinquennial survey on household consumer  expenditure was carried out during January-December, 1983.  A three-digit code system, for identification of each item of consumer expenditure, has been introduced in this round: the hundreds and tens place indicates a broad division of items; the hundreds and tens place together specify a group of items and all the three digits together indicates a particular item.  In the system of code structure introduced here, an item code ending with 9 represents 'others' that is any item not classified under the particular group.  Similarly, a code with 'O' in the units place would be identified as a sub-total item.</abstract>
      <sumDscr>
        <nation abbr="IND">India</nation>
        <geogCover>The survey covered the whole of the Indian Union.</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>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
      <notes><![CDATA[The NSSO surveys on consumer expenditure aim to measure the household consumer expenditure in quantitative terms disaggregated by various household characteristics. 

The data for this survey is collected in the NSS Schedule 1.0 used for household consumer expenditure.  For this round, the schedule had 12 blocks.

Blocks 1 and 2 - are similar to the ones used in usual NSS rounds. These are used to record identification of sample households and particulars of field operations.

Block-3: Household characteristics like, household size, principal industry-occupation, social group, land possessed and cultivated, type of dwelling  etc. are recorded in this block.

Block-4: In this Block the detailed demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day etc. are recorded. 

Block-5: In this block cash purchase and consumption of food, pan, tobacco, intoxicants and fuel & light during the last 30 days are recorded. 

Block-6: Consumption of clothing during the last 30 and 365 days is recorded in this block.

Block-7: Consumption of footwear during the last 30 and 365 days  is recorded in this block.

Block-8 : Expenditure on miscellaneous goods and services and rents and taxes during the last 30 days has been recorded in this block.

Block-9 : Expenditure for purchase of durable goods and selected miscellaneous goods and services (not included in block 8) for domestic use is recorded here.

Block-10 : Particulars of dwelling units are recorded in this block.

Block-11 : Perception of the household regarding sufficiency of food is recorded in this block.

Block-12 : Summary of consumer expenditure during last 30 days is recorded in this block.]]></notes>
      <subject>
        <keyword>Household</keyword>
        <keyword>Consumer Expenditure</keyword>
        <keyword>38th Round</keyword>
        <keyword>Schedule 1</keyword>
        <keyword>January-December, 1983</keyword>
      </subject>
    </stdyInfo>
    <method>
      <dataColl>
        <deviat>
          There was no deviation from the original sampling design.
        </deviat>
        <collMode>Face-to-face [f2f]</collMode>
        <resInstru><![CDATA[The data for this survey is collected in the NSS Schedule 1.0 used for household consumer expenditure.  For this round, the schedule had 12 blocks. Summary description of the schedule 1.0 on consumer expenditure is given below. 

Blocks 1 and 2 - are similar to the ones used in usual NSS rounds. These are used to record identification of sample households and particulars of field operations.

Block-3: Household characteristics like, household size, principal industry-occupation, social group, land possessed and cultivated, type of dwelling  etc. are recorded in this block.

Block-4: In this Block the detailed demographic particulars including age, sex, educational level, marital status, number of meals usually taken in a day etc. are recorded. 

Block-5: In this block cash purchase and consumption of food, pan, tobacco, intoxicants and fuel & light during the last 30 days are recorded. 

Block-6: Consumption of clothing during the last 30 and 365 days is recorded in this block.

Block-7: Consumption of footwear during the last 30 and 365 days  is recorded in this block.

Block-8 : Expenditure on miscellaneous goods and services and rents and taxes during the last 30 days has been recorded in this block.

Block-9 : Expenditure for purchase of durable goods and selected miscellaneous goods and services (not included in block 8) for domestic use is recorded here.

Block-10 : Particulars of dwelling units are recorded in this block.

Block-11 : Perception of the household regarding sufficiency of food is recorded in this block.

Block-12 : Summary of consumer expenditure during last 30 days is recorded in this block.]]></resInstru>
        <sources/>
        <weight><![CDATA[Two different weights have been  provided in each file in the data set. Details are as follows:-

1.  Weight   for each sub sample is stored in the variable name   : Wgt_SubSample
2. Combined subsample  weight   is stored in  the variable name : Wgt_Combined]]></weight>
      </dataColl>
    </method>
    <dataAccs>
      <useStmt>
        <contact affiliation="M/O Statistics and Programme Implementation" URI="http://mospi.nic.in/Mospi_New/site/home.aspx" email="nssodata@gmail.com">
          Computer Centre
        </contact>
        <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.
        </conditions>
        <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.
        </disclaimer>
      </useStmt>
    </dataAccs>
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        Blocks 1,3 and 10- Household Characteristics.NSDstat
      </fileName>
      <fileCont>
        Household characteristics like, household size, principal industry-occupation, social group, land possessed and cultivated, type of dwelling etc. are recorded in these blocks.
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      <fileStrc type="relational">
        <recGrp recGrp="F13 F2 F3 F4 F5 F14 F7 F8 F15 F11 F10" keyvar="V303"/>
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    <fileTxt>
      <fileName>
        Block 4 - Food intake.NSDstat
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      <fileCont>
        In this dataset primarily information on food intake is provided.
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      <fileName>
        Block 5 - Monthly household expenditure on food and non food items.NSDstat
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      <fileCont><![CDATA[Block 5 contains information on  cash purchase, consumption out of home-grown stock and total consumption of food, pan, tobacco, intoxicants and fuel and light during the last 30 days.]]></fileCont>
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      <fileName>
        Block 6pt1 - Monthly household expenditure on clothing.NSDstat
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      <fileCont><![CDATA[Block 6.1 contains information on  cash purchase, consumption out of home-grown stock and total consumption of clothing during the last 30 days.]]></fileCont>
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      <fileName>
        Block 6pt2 - Household expenditure on clothing.NSDstat
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      <fileName>
        Block 7pt1 - Monthly household expenditure on footwear.NSDstat
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      <fileCont><![CDATA[Block 7.1 contains information on  cash purchase, consumption out of home-grown stock and total consumption of footwear during the last 30 days.]]></fileCont>
      <fileStrc type="relational">
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        Nesstar 200801
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  <fileDscr ID="F5" URI="NSSO_38_Schedule_1_Consumer_Expenditure.Nesstar?Index=6&amp;Name=Block 7pt2 -  Household expenditure on footwear">
    <fileTxt>
      <fileName><![CDATA[Block 7pt2 -  Household expenditure on footwear.NSDstat]]></fileName>
      <fileCont><![CDATA[Block 7.1 contains information on  cash purchase, consumption out of home-grown stock and total consumption of footwear during the last 365 days.]]></fileCont>
      <fileStrc type="relational">
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  <fileDscr ID="F14" URI="NSSO_38_Schedule_1_Consumer_Expenditure.Nesstar?Index=7&amp;Name=Block 8 - Monthly household expenditure on misc. goods and services">
    <fileTxt>
      <fileName>
        Block 8 - Monthly household expenditure on misc. goods and services.NSDstat
      </fileName>
      <fileCont>
        Block 8 contains information on household expenditure (cash &amp; kind) on miscellaneous goods and services and rents and taxes during the last 30 days.
      </fileCont>
      <fileStrc type="relational">
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  <fileDscr ID="F7" URI="NSSO_38_Schedule_1_Consumer_Expenditure.Nesstar?Index=8&amp;Name=Block 9pt1 - Monthly household expenditure for purchase of durables">
    <fileTxt>
      <fileName>
        Block 9pt1 - Monthly household expenditure for purchase of durables.NSDstat
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      <fileCont>
        Block 9.1 contains information on household expenditure for purchase (cash &amp; kind) of durable goods and selected miscellaneous goods and services (nor included in block 8) for domestic use during the last 30 days.
      </fileCont>
      <fileStrc type="relational">
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  <fileDscr ID="F8" URI="NSSO_38_Schedule_1_Consumer_Expenditure.Nesstar?Index=9&amp;Name=Block 9pt1 - Household expenditure for purchase of durables">
    <fileTxt>
      <fileName>
        Block 9pt1 - Household expenditure for purchase of durables.NSDstat
      </fileName>
      <fileCont>
        Block 9.1 contains information on household expenditure for purchase (cash &amp; kind) of durable goods and selected miscellaneous goods and services (nor included in block 8) for domestic use during the last 365 days.
      </fileCont>
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    <fileTxt>
      <fileName>
        Block 9pt2 - Monthly household expenditure for construction &amp; repair of durables.NSDstat
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        Block 9.2 contains information on household expenditure (cash and kind) for construction and repairs of durable goods and selected miscellaneous goods and services (not included in block 8) for domestic use during the last 30 days.
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        Block 9pt2 - Household expenditure for construction &amp; repair of durables.NSDstat
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        Block 9.2 contains information on household expenditure (cash and kind) for construction and repairs of durable goods and selected miscellaneous goods and services (not included in block 8) for domestic use during the last 365 days.
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      <labl>
        Geographical identifier
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    <var ID="V303" name="HHID" files="F12" intrvl="discrete">
      <location StartPos="1" EndPos="16" width="16" RecSegNo="1"/>
      <labl>
        Key to identify a household
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      <sumStat type="vald">
        117604
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      <sumStat type="invd">
        0
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      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining sector, state region, stratum, sub round, sub sample, serial no. of village / block and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
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        C.D.I. (Record Type/Level)
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      <labl>
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        <labl>
          Rural
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        <catValu>
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        <labl>
          Urban
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        <qstnLit>
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      <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="V255" name="State_Region" files="F12" intrvl="discrete">
      <location StartPos="26" EndPos="28" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <qstnLit>
          State_Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </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="V301" name="State" files="F12" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          8138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          4479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          10054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          4236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          1607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          1969
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          3795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          5616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          4406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          8210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          10763
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          1785
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          1152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          3987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          3809
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          5184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          8292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          1122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          14902
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          8440
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          1039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          190
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          1193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa, Daman &amp; Diu
        </labl>
        <catStat type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          1683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          247
        </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="V256" name="SubRound" files="F12" intrvl="discrete">
      <location StartPos="31" EndPos="31" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          28930
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          28349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          30226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          30099
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V257" name="Hhold_no" files="F12" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V258" name="Sample" files="F12" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Sample
      </labl>
      <qstn>
        <qstnLit>
          Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V259" name="Stratum" files="F12" intrvl="discrete">
      <location StartPos="35" EndPos="37" width="3" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </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="V260" name="SubSample" files="F12" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </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">
          58969
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          58635
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V261" name="Sample_vill_blk" files="F12" intrvl="discrete">
      <location StartPos="39" EndPos="40" width="2" RecSegNo="1"/>
      <labl>
        Sample village/block
      </labl>
      <qstn>
        <qstnLit>
          Sample village/block
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V262" name="Informant_Code" files="F12" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Informant Code
      </labl>
      <qstn>
        <qstnLit>
          Informant Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head of household
        </labl>
        <catStat type="freq">
          88485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other member of household
        </labl>
        <catStat type="freq">
          27495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1410
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V263" name="Informant_Type_Code" files="F12" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Type of Informant Code
      </labl>
      <qstn>
        <qstnLit>
          Type of Informant Code
        </qstnLit>
        <ivuInstr><![CDATA[The  type  of  informant, considering  his  cooperation  and capability  in  providing  the required  information, will be recorded against this item  in  terms of specified response codes.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cooperative &amp; capable
        </labl>
        <catStat type="freq">
          84752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Cooperative but not capable
        </labl>
        <catStat type="freq">
          29709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Busy
        </labl>
        <catStat type="freq">
          1540
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Reluctant
        </labl>
        <catStat type="freq">
          1324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          150
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V264" name="Survey_Code" files="F12" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Survey Code
      </labl>
      <qstn>
        <qstnLit>
          Survey Code
        </qstnLit>
        <ivuInstr><![CDATA[Survey code  :  Whether the originally  selected sample household has been surveyed or a substituted household has been  surveyed will be indicated against this item  by  recording '1' if it is the originally selected sample household, and '2' if it  is the  substituted one.  If neither the originally  selected household  nor the substituted household could be surveyed  i.e., if  the  sample  household  was a casualty,  code  '3'  would  be recorded.   In such cases only blocks 0,1, 2, 13 and 14  will  be filled  up and on the top of the front page of the  schedule  the word 'CASUALTY' will be written and underlined.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Original household surveyed
        </labl>
        <catStat type="freq">
          115108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Substitute household surveyed
        </labl>
        <catStat type="freq">
          2080
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Casualty (nothing surveyed)
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          405
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V265" name="Substn_Code" files="F12" intrvl="discrete">
      <location StartPos="44" EndPos="44" width="1" RecSegNo="1"/>
      <labl>
        Reason for substitution
      </labl>
      <qstn>
        <qstnLit>
          Reason for substitution
        </qstnLit>
        <ivuInstr><![CDATA[Reason for substitution   :   For  the originally selected sample household which could not be surveyed, the reason  for its becoming a casualty will be recorded  against this item in terms of the specified codes.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          116207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Informant busy
        </labl>
        <catStat type="freq">
          330
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Members away from home
        </labl>
        <catStat type="freq">
          829
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Informant non-cooperative
        </labl>
        <catStat type="freq">
          147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V266" name="Income_account" files="F12" intrvl="discrete">
      <location StartPos="45" EndPos="45" width="1" RecSegNo="1"/>
      <labl>
        Whether household maintains account of income
      </labl>
      <qstn>
        <qstnLit>
          Whether household maintains account of income?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Household : 

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>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          535
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          2334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          114726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V267" name="Expenditure_account" files="F12" intrvl="discrete">
      <location StartPos="46" EndPos="46" width="1" RecSegNo="1"/>
      <labl>
        Whether household maintains account of expenditure
      </labl>
      <qstn>
        <qstnLit>
          Whether household maintains account of expenditure?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Household : 

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>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          679
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          116298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V304" name="B3_1_q1" files="F12" dcml="0" intrvl="contin">
      <location StartPos="47" EndPos="48" width="2" RecSegNo="1"/>
      <labl>
        No. of Adult Males in the Household
      </labl>
      <qstn>
        <qstnLit>
          No. of Adult Males in the Household?
        </qstnLit>
        <ivuInstr><![CDATA[Entries in items 1, 2 & 3  will indicate the total number of adult males (aged 15 years & above), adult females (aged 15 years & above), adult females (aged 15 years and above) and children (boys and girls up to 14 years) respectively.  Thus the entries in items 1,2 and 3 should add up to the entry made against item 4 which is the size of the household.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V305" name="B3_1_q2" files="F12" dcml="0" intrvl="contin">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        No. of Adult Females in the Household
      </labl>
      <qstn>
        <qstnLit>
          No. of Adult Females in the Household?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V306" name="B3_1_q3" files="F12" dcml="0" intrvl="contin">
      <location StartPos="51" EndPos="52" width="2" RecSegNo="1"/>
      <labl>
        No. of Children in the Household
      </labl>
      <qstn>
        <qstnLit>
          No. of Children in the Household?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V307" name="B3_1_q4" files="F12" dcml="0" intrvl="contin">
      <location StartPos="53" EndPos="54" width="2" RecSegNo="1"/>
      <labl>
        Total members in the household
      </labl>
      <qstn>
        <qstnLit>
          Total members in the household?
        </qstnLit>
        <ivuInstr><![CDATA[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">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Household : 

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.


Household size : 
The size of a household is the total number of persons in the household.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V272" name="B3_1_q5a" files="F12" intrvl="discrete">
      <location StartPos="55" EndPos="57" width="3" RecSegNo="1"/>
      <labl>
        NIC Code
      </labl>
      <qstn>
        <qstnLit>
          Which industry are you working in?
        </qstnLit>
        <ivuInstr><![CDATA[The description of  the principal household industry-occupation will be  recorded in  the space provided.  The right hand side of item 2  has  been divided  into two lines.  The appropriate three digited  industry code  of the NIC 1970 will be recorded in the first line and  the relevant occupation family of the NCO 1968 will be entered in the second line.

     To  determine the principal  household  industry-occupation, the  general procedure to be followed is to list all the  gainful 
occupations  pursued  by the members of the  household  excluding those employed by the household and paying guests (who in view of their staying and taking food in the household are considered  as its normal members) during the one year period preceding the date of survey, no matter whether such occupations are pursued by  the members  in  their  principal  or subsidiary  (on  the  basis  of earnings) capacity. Out of the occupations listed, that one which fetched the maximum earnings to the household during the last 365  days  preceding  the date of survey would be  considered  as  the principal  household occupation.  It is quite possible  that  the household  occupation, thus determined as the principal one,  may 
be pursued in different industries by one or more members of  the household.  In such cases, the particular industry out of all the different  industries corresponding to the principal  occupation, which  fetched the maximum earnings, should be considered as  the principal  industry  of the household .  In  extreme  cases,  the earnings  may be equal in two different occupations or  industry- occupation combinations.  By convention, in such cases,  priority will   be   given  to  the  occupation   or   industry-occupation combination  of the senior most among the  participating  members.  For households deriving income from non-gainful activities  only, a dash (-) may be put against this item.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        112445
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V273" name="B3_1_q5b" files="F12" intrvl="discrete">
      <location StartPos="58" EndPos="60" width="3" RecSegNo="1"/>
      <labl>
        NCO Code
      </labl>
      <qstn>
        <qstnLit>
          Which occupation are you in?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        112429
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V274" name="B3_1_q6" files="F12" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        Household type code
      </labl>
      <qstn>
        <qstnLit>
          Household type code
        </qstnLit>
        <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 gainful  employment  will  be  considered;  but  the  incomes  of servants  and paying guests will not be taken into account.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V302" name="HH_Type" files="F12" intrvl="discrete">
      <location StartPos="62" EndPos="63" width="2" RecSegNo="1"/>
      <labl>
        Sector wise household type
      </labl>
      <qstn>
        <qstnLit>
          Sector wise household type
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Household self-employed in non-agricultural occupation - rural
        </labl>
        <catStat type="freq">
          9078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Agricultural labour household - rural
        </labl>
        <catStat type="freq">
          21325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Other labour household - rural
        </labl>
        <catStat type="freq">
          5029
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Household self-employed in agricultural occupations - rural
        </labl>
        <catStat type="freq">
          33929
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other households - rural
        </labl>
        <catStat type="freq">
          8057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Self-employed  household - urban]]></labl>
        <catStat type="freq">
          14014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Other households - urban
        </labl>
        <catStat type="freq">
          26172
        </catStat>
      </catgry>
      <codInstr>
        This variable has been derived by concatenating the variables "sector" and "household type code" to enable the users to easily access information on "sector wise household type".
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V275" name="B3_1_q7" files="F12" intrvl="discrete">
      <location StartPos="64" EndPos="64" width="1" RecSegNo="1"/>
      <labl>
        Religion
      </labl>
      <qstn>
        <qstnLit>
          What is your religion?
        </qstnLit>
        <ivuInstr>
          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.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Hinduism
        </labl>
        <catStat type="freq">
          92589
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Islam
        </labl>
        <catStat type="freq">
          14397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Christianity
        </labl>
        <catStat type="freq">
          5755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sikhism
        </labl>
        <catStat type="freq">
          2413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Jainism
        </labl>
        <catStat type="freq">
          400
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Buddhism
        </labl>
        <catStat type="freq">
          993
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Zoroastrianism
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          904
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V276" name="B3_1_q8" files="F12" intrvl="discrete">
      <location StartPos="65" EndPos="65" width="1" RecSegNo="1"/>
      <labl>
        Social Group Code
      </labl>
      <qstn>
        <qstnLit><![CDATA[Which social group do you belong to?
Do you come under scheduled caste or  scheduled tribe or others category?]]></qstnLit>
        <ivuInstr><![CDATA[Whether or not the household  belongs to scheduled tribe or scheduled caste or neo Buddhist will be indicated against this item in terms of the specified codes.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Scheduled tribe
        </labl>
        <catStat type="freq">
          12477
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Scheduled caste
        </labl>
        <catStat type="freq">
          17879
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Neo-Buddhist
        </labl>
        <catStat type="freq">
          627
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          86621
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V277" name="B3_1_q9" files="F12" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        Homestead type
      </labl>
      <qstn>
        <qstnLit>
          Homestead type
        </qstnLit>
        <ivuInstr><![CDATA[If the homestead (house and house site) is owned by the household, code '1' will be entered in the box space provided against this item.  But, if that is not owned by otherwise possessed, code 2 will be recorded.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          90765
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not owned
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          26478
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V278" name="B3_1_q10" files="F12" dcml="2" intrvl="contin">
      <location StartPos="67" EndPos="73" width="7" RecSegNo="1"/>
      <labl>
        Land area owned
      </labl>
      <qstn>
        <qstnLit>
          How much land do you own?
        </qstnLit>
        <ivuInstr>
          The total land possessed by the household as on the date of survey will be recorded against this item.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="2400.24"/>
      </valrng>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2400.24
      </sumStat>
      <sumStat type="mean">
        2.271
      </sumStat>
      <sumStat type="stdev">
        10.378
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V279" name="B3_1_q11" files="F12" dcml="2" intrvl="contin">
      <location StartPos="74" EndPos="81" width="8" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <qstn>
        <qstnLit>
          Monthly per capita expenditure?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="27588"/>
      </valrng>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        27588
      </sumStat>
      <sumStat type="mean">
        145.977
      </sumStat>
      <sumStat type="stdev">
        153.06
      </sumStat>
      <txt><![CDATA[Household consumer expenditure : 
The expenditure incurred by a household on domestic consumption during the reference period is the household's consumer expenditure. The household consumer expenditure is the total of the monetary values of consumption of various groups of items namely (i) food, pan (betel leaves), tobacco, intoxicants and fuel & light, (ii) clothing and footwear and (iii) miscellaneous goods and services and durable articles.

Monthly per capita expenditure (MPCE) : 
For a household, this is household consumer expenditure over a period of 30 days divided by household size. A person's MPCE is understood as that of the household to which he/she belongs.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V280" name="B3_1_q12" files="F12" intrvl="discrete">
      <location StartPos="82" EndPos="82" width="1" RecSegNo="1"/>
      <labl>
        Type of latrine code
      </labl>
      <qstn>
        <qstnLit>
          Type of latrine ?
        </qstnLit>
        <ivuInstr><![CDATA[Usually a household will be using only one type of latrine out of the 9 types described in the code list.  The code for the particular type will be recorded in this line.  If the household has access to more than one type of latrine, preference will be given to the type having  the higher code among codes 1 to 7 only, codes to be used are :

	no latrine………………….1		flush system (shared)………….6
	service (shared)…………..2		flush system (exclusive)………7
	service (exclusive)………..3		others (shared)…………………8
	septic tank (shared)……….4		others (exclusive)………………9
	septic tank (exclusive)……5]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          No Latrine
        </labl>
        <catStat type="freq">
          80829
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Service (Shared)
        </labl>
        <catStat type="freq">
          6465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Service (Exclusive)
        </labl>
        <catStat type="freq">
          4171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Septic Tank (Shared)
        </labl>
        <catStat type="freq">
          5298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Septic Tank (Exclusive)
        </labl>
        <catStat type="freq">
          4653
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Flush System (Shared)
        </labl>
        <catStat type="freq">
          4243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Flush System (Exclusive)
        </labl>
        <catStat type="freq">
          3671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Others (Shared)
        </labl>
        <catStat type="freq">
          1552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others (Exclusive)
        </labl>
        <catStat type="freq">
          6722
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V308" name="B3_1_q13" files="F12" dcml="0" intrvl="contin">
      <location StartPos="83" EndPos="84" width="2" RecSegNo="1"/>
      <labl>
        No. of flush system latrines
      </labl>
      <qstn>
        <qstnLit>
          No. of flush system latrines ?
        </qstnLit>
        <ivuInstr><![CDATA[If the household uses flush system of latrine, the number of such latrines to which the members of the household have access will be noted here.  If only one such latrine is shared by more than one household, then also the entry will be 1.  If the household has, for its exclusive use, one or more latrine and also it shares some with others, the total number used will be recorded.  If all the units are shared, the total number of those will be recorded.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V282" name="B3_1_q14" files="F12" intrvl="discrete">
      <location StartPos="85" EndPos="85" width="1" RecSegNo="1"/>
      <labl>
        Primary source of drinking water
      </labl>
      <qstn>
        <qstnLit>
          Primary source of drinking water?
        </qstnLit>
        <ivuInstr><![CDATA[The source from which the household fetches water for drinking will be noted here in terms of code numbers printed below the block.  The household may use more than one source of water for drinking purposes but only the code corresponding to the primary or principal source of drinking water will be recorded here.  The codes to be used are:

	tap water………………1		pond…………………………..5
	tube well………………2		canal, river, spring……………6
	hand pump…………….3		others…………………………9
	pucca well…………….4]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Tap Water
        </labl>
        <catStat type="freq">
          36017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Tube Well
        </labl>
        <catStat type="freq">
          4659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Hand Pump
        </labl>
        <catStat type="freq">
          20019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Pucca Well
        </labl>
        <catStat type="freq">
          41724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pond
        </labl>
        <catStat type="freq">
          4058
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Canal, River, Spring
        </labl>
        <catStat type="freq">
          8194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          2933
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V283" name="B3_1_q15" files="F12" intrvl="discrete">
      <location StartPos="86" EndPos="86" width="1" RecSegNo="1"/>
      <labl>
        Source of energy for cooking
      </labl>
      <qstn>
        <qstnLit>
          What is the primary source of energy that is being used by the household for cooking?
        </qstnLit>
        <ivuInstr><![CDATA[Items : primary source of energy used for  cooking and lighting : Against these two items, the code corresponding to the primary source of energy that is being used by the  household for  the  purpose of cooking and for lighting, will  have  to  be recorded.   If  more  than one type of energy  is  utilized,  the primary or principal one on the basis of its use will have to  be identified  and  the  corresponding code will  be  noted  in  the appropriate box.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Coke, coal
        </labl>
        <catStat type="freq">
          7996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Firewood &amp; chips
        </labl>
        <catStat type="freq">
          80452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Gas (coal, oil or natural)
        </labl>
        <catStat type="freq">
          4406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Gober gas
        </labl>
        <catStat type="freq">
          258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl><![CDATA[Dung cake             ]]></labl>
        <catStat type="freq">
          11611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl><![CDATA[Charcoal           ]]></labl>
        <catStat type="freq">
          320
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl><![CDATA[Kerosene                 ]]></labl>
        <catStat type="freq">
          7187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl><![CDATA[Electricity                 ]]></labl>
        <catStat type="freq">
          228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl><![CDATA[Others                ]]></labl>
        <catStat type="freq">
          5146
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V284" name="B3_1_q16" files="F12" intrvl="discrete">
      <location StartPos="87" EndPos="87" width="1" RecSegNo="1"/>
      <labl>
        Source of energy for lighting
      </labl>
      <qstn>
        <qstnLit>
          What is the primary source of energy that is being used by the household for lighting?
        </qstnLit>
        <ivuInstr><![CDATA[Items : primary source of energy used for  cooking and lighting : Against these two items, the code corresponding to the primary source of energy that is being used by the  household for  the  purpose of cooking and for lighting, will  have  to  be recorded.   If  more  than one type of energy  is  utilized,  the primary or principal one on the basis of its use will have to  be identified  and  the  corresponding code will  be  noted  in  the appropriate box.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Kerosene
        </labl>
        <catStat type="freq">
          76221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Other oil
        </labl>
        <catStat type="freq">
          711
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Gas
        </labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Candle
        </labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Electricity
        </labl>
        <catStat type="freq">
          39112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1354
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V285" name="B10_q1" files="F12" intrvl="discrete">
      <location StartPos="88" EndPos="88" width="1" RecSegNo="1"/>
      <labl>
        Dwelling unit code
      </labl>
      <qstn>
        <qstnLit>
          Do you own the dwelling unit? Or is it hired or otherwise occupied?
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[This item refers only to the dwelling unit or the actual residence of the sample household.  The dwelling unit may be an entire structure or may be only a part of a structure.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          91968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rented
        </labl>
        <catStat type="freq">
          15861
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Otherwise occupied
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          9775
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V286" name="B10_q2" files="F12" dcml="0" intrvl="contin">
      <location StartPos="89" EndPos="93" width="5" RecSegNo="1"/>
      <labl>
        Covered Area (sq. meter)
      </labl>
      <qstn>
        <qstnLit>
          How much is the covered area of the dwelling?
        </qstnLit>
        <ivuInstr><![CDATA[This will be the sum of the floor areas of all the rooms, kitchen etc. and covered and/or uncovered verandah of the building.  The area will be recorded in square meters and in whole number.  The verandah will mean the space adjacent to the rooms (both living and other) which is used as an access to the rooms of the dwelling unit.  Verandah covered on four side by walls with a room above, is a covered verandah.  But the verandah not surrounded by walls on four sides is an uncovered verandah, irrespective of whether there is/roof or not.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="38138"/>
      </valrng>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        38138
      </sumStat>
      <sumStat type="mean">
        43.546
      </sumStat>
      <sumStat type="stdev">
        147.954
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V287" name="B10_q3" files="F12" intrvl="discrete">
      <location StartPos="94" EndPos="94" width="1" RecSegNo="1"/>
      <labl>
        Land Possession Code
      </labl>
      <qstn>
        <qstnLit>
          Land Possession Code?
        </qstnLit>
        <ivuInstr><![CDATA[The land on which the residential building is constructed may be either owned, or rented or leased in or otherwise occupied.  Land leased in for 30 years or more will be classified as owned.  In case of multistoried buildings if an apartment is owned and occupied by household, land possessed code in that case will also be “1” i.e. owned.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          89530
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Rented
        </labl>
        <catStat type="freq">
          16306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Leased in
        </labl>
        <catStat type="freq">
          2428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          9340
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V288" name="B10_q4" files="F12" intrvl="discrete">
      <location StartPos="95" EndPos="95" width="1" RecSegNo="1"/>
      <labl>
        Plinth level
      </labl>
      <qstn>
        <qstnLit>
          Plinth level
        </qstnLit>
        <ivuInstr><![CDATA[Plinth level means constructed ground floor level of the house from the ground at the main entrance of the dwelling unit.  If there is a basement that is, some floor area below the ground level, then code 1 will be recorded.  In case there is no distinction between level of the ground (i.e. land) and the level of the lowest floor then plinth level will be 0.00 meter and code 2 will be recorded against this item.  If the level of the lowest floor is higher than that of the ground (land) i.e., more than 0.00 meter then code 3 will be recorded.  Here 'plinth' refers to the foundation base of the house.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Basement
        </labl>
        <catStat type="freq">
          26157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          0.00 meter
        </labl>
        <catStat type="freq">
          46632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          More than 0.00 meter
        </labl>
        <catStat type="freq">
          44330
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          485
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V289" name="B10_q5" files="F12" intrvl="discrete">
      <location StartPos="96" EndPos="96" width="1" RecSegNo="1"/>
      <labl>
        Type of Dwelling
      </labl>
      <qstn>
        <qstnLit>
          What is the type of dwelling of the household? Is it an independent house or a flat or any other type of dwelling?
        </qstnLit>
        <ivuInstr><![CDATA[A  dwelling unit may be  in  a chawl  or  bustee, or an independent house or a flat.  Applicable code  for each type of dwelling will be entered against this item.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Chawl/bustee
        </labl>
        <catStat type="freq">
          18922
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Independent house
        </labl>
        <catStat type="freq">
          86358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Flat
        </labl>
        <catStat type="freq">
          11540
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          784
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V290" name="B10_q6" files="F12" intrvl="discrete">
      <location StartPos="97" EndPos="97" width="1" RecSegNo="1"/>
      <labl>
        Type of Structure
      </labl>
      <qstn>
        <qstnLit>
          What is the type of structure of the dwelling?
        </qstnLit>
        <ivuInstr><![CDATA[The  structures  have  been classified  into three categories, namely, pucca, semi-pucca  and katcha on the basis of materials used for construction.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Katcha
        </labl>
        <catStat type="freq">
          46962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Semi pucca
        </labl>
        <catStat type="freq">
          35674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Pucca
        </labl>
        <catStat type="freq">
          34735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          233
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V291" name="B10_q7" files="F12" intrvl="discrete">
      <location StartPos="98" EndPos="98" width="1" RecSegNo="1"/>
      <labl>
        Floor Type
      </labl>
      <qstn>
        <qstnLit>
          Floor Type
        </qstnLit>
        <ivuInstr><![CDATA[Floor of a house may be made of (i) mud, (ii) wood  bamboo, reed, (iii) brick, cement, stone (iv) any other materials.  Codes have been provided for type of floor built with any of these materials.  Appropriate code number will be recorded against this item after ascertaining the material which has been used for construction of the floor.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Mud
        </labl>
        <catStat type="freq">
          70744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Wood, bamboo, reed
        </labl>
        <catStat type="freq">
          9498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Brick, cement, stone
        </labl>
        <catStat type="freq">
          34372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          2990
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V292" name="B10_q8" files="F12" dcml="2" intrvl="contin">
      <location StartPos="99" EndPos="106" width="8" RecSegNo="1"/>
      <labl>
        Monthly rent (actual of imputed for urban only)
      </labl>
      <qstn>
        <qstnLit>
          Monthly rent (actual of imputed for urban only)
        </qstnLit>
        <ivuInstr><![CDATA[This information will be collected for households for urban areas only.  Actual monthly rent of the dwelling unit will be noted if it is taken on rent.  But if a  household in urban areas is not residing in a rented house that is, residing in a house which is either owned or otherwise occupied without paying any rent, then the rent will be imputed considering as if it is was taken on rent.  Imputation will be done on the basis of prevailing rate of rent for similar houses in the locality or surrounding areas.  It may be mentioned in this connection that, rent does not include any selami/pugree or any kind of cuss payable to local self-government or to government.  It is merely an amount payable to the owner or to some other party as per contract between the occupier and the person who lets it out.  A household may occupy a dwelling  unit which is neither owned, nor hired in.  In such cases also the imputed rent will be recorded.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="20000"/>
      </valrng>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        20000
      </sumStat>
      <sumStat type="mean">
        37.945
      </sumStat>
      <sumStat type="stdev">
        146.072
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V293" name="B10_q9" files="F12" intrvl="discrete">
      <location StartPos="107" EndPos="107" width="1" RecSegNo="1"/>
      <labl>
        Condition of the house code
      </labl>
      <qstn>
        <qstnLit>
          Condition of the house code?
        </qstnLit>
        <ivuInstr><![CDATA[Against this item is to be recorded the physical condition of the house in the sense whether the house is excellent for habitation and seems to need no major repairs, fairly good and needs no major repairs; bad dilapidated and impoverished (either needs immediate repairs/structural changes or not suitable for permanent habitation at all).  Different codes are given in the schedule and appropriate code has to be entered against this item.  Major repairs will constitute such essential repairs of the house without which the house is risky or very healthy for human habitation.  The condition of the house will have to be assessed at the time of investigation and the appropriate code will be recorded here.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Excellent
        </labl>
        <catStat type="freq">
          19157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Fairly good and needs no major repair
        </labl>
        <catStat type="freq">
          75594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Bad, dilapidated and impoverished
        </labl>
        <catStat type="freq">
          22035
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V294" name="B10_q11" files="F12" intrvl="discrete">
      <location StartPos="108" EndPos="108" width="1" RecSegNo="1"/>
      <labl>
        Does the household get enough food?
      </labl>
      <qstn>
        <qstnLit>
          Does the household get enough food?
        </qstnLit>
        <ivuInstr><![CDATA[The expression 'getting two square meals a day', as is used in common parlance, conveys that the concerned person get, by and large, enough food to eat.  While putting this question to the informant, it is thus presumed that the informant has a clear understanding about the meaning of it.  There are equivalent phrases conveying the same meaning in regional languages.  It is, therefore, important to put the proper question in the local language and record the answer given by the informant in terms of prescribed code numbers.

	Care should however be taken to see that the informant is not offended with this question.  Neither this question should be asked to those whose reported consumption would obviously indicate that they get enough to eat.  If the informant reports that the members of the household gets two square meals a day, throughout the year, the code to be entered in the box space of this block is 1.  If adequate food is available in only a few months of the year the code 2 will be noted.  Code 3 will indicate that the household do not usually get two square meals a day for its members.]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[Household : 

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>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Not reported
        </labl>
        <catStat type="freq">
          517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes - throughout the year
        </labl>
        <catStat type="freq">
          101158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Some months of the year
        </labl>
        <catStat type="freq">
          13932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          1997
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V295" name="Record_No" files="F12" intrvl="discrete">
      <location StartPos="109" EndPos="109" width="1" RecSegNo="1"/>
      <labl>
        Record number
      </labl>
      <qstn>
        <qstnLit>
          Record number
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V296" name="Last_rec_indicator" files="F12" intrvl="discrete">
      <location StartPos="110" EndPos="110" width="1" RecSegNo="1"/>
      <labl>
        Last record indicator
      </labl>
      <qstn>
        <qstnLit>
          Last record indicator
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V297" name="Upadate_Code" files="F12" intrvl="discrete">
      <location StartPos="111" EndPos="111" width="1" RecSegNo="1"/>
      <labl>
        Update Code
      </labl>
      <qstn>
        <qstnLit>
          Update Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V298" name="Posted_Stratum_Code" files="F12" intrvl="discrete">
      <location StartPos="112" EndPos="114" width="3" RecSegNo="1"/>
      <labl>
        Posted Stratum Code
      </labl>
      <qstn>
        <qstnLit>
          Posted Stratum Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V299" name="Wgt_Combined" wgt="wgt" files="F12" dcml="2" intrvl="contin">
      <location StartPos="115" EndPos="122" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="9.85" max="42792.68"/>
      </valrng>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        9.85
      </sumStat>
      <sumStat type="max">
        42792.68
      </sumStat>
      <sumStat type="mean">
        1114.793
      </sumStat>
      <sumStat type="stdev">
        837.134
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V300" name="Wgt_SubSample" wgt="wgt" files="F12" dcml="2" intrvl="contin">
      <location StartPos="123" EndPos="130" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="19.04" max="85585.36"/>
      </valrng>
      <sumStat type="vald">
        117604
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        19.04
      </sumStat>
      <sumStat type="max">
        85585.36
      </sumStat>
      <sumStat type="mean">
        2228.4
      </sumStat>
      <sumStat type="stdev">
        1687.64
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V230" name="HHID" files="F10" intrvl="discrete">
      <location StartPos="1" EndPos="16" width="16" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining sector, state region, stratum, sub round, sub sample, serial no. of village / block and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V192" name="Sector" files="F10" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117423
      </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">
          77331
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          40092
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V193" name="State_Region" files="F10" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <qstnLit>
          State_Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117423
      </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="V231" name="State" files="F10" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          8131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          4465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          10052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          4228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          1607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          1967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          3792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          5610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          4405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          8202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          10751
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          1775
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          1142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          3987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          3801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          5168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          8287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          1119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          14880
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          8415
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          1037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          1192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa, Daman &amp; Diu
        </labl>
        <catStat type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          1675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          245
        </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="V194" name="Stratum" files="F10" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117423
      </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="V195" name="SubRound" files="F10" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          28875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          28306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          30184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          30058
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V196" name="SubSample" files="F10" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117423
      </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">
          58879
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          58544
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V197" name="Vill_Blk_Slno" files="F10" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <qstn>
        <qstnLit>
          Village/Bl. Srl. No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117423
      </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="V198" name="Hhold_no" files="F10" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V199" name="B3_1_q8" files="F10" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Household Group
      </labl>
      <qstn>
        <qstnLit>
          Household Group
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Scheduled tribe
        </labl>
        <catStat type="freq">
          12450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Scheduled caste
        </labl>
        <catStat type="freq">
          17844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Neo-Buddhist
        </labl>
        <catStat type="freq">
          627
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          86502
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V200" name="New_HH_Type_Code" files="F10" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        New Household Type Code
      </labl>
      <qstn>
        <qstnLit>
          New Household Type Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V201" name="B3_1_q11" files="F10" dcml="2" intrvl="contin">
      <location StartPos="37" EndPos="44" width="8" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <qstn>
        <qstnLit>
          Monthly per capita expenditure?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="27588"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        27588
      </sumStat>
      <sumStat type="mean">
        146.221
      </sumStat>
      <sumStat type="stdev">
        153.048
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V202" name="MPCE_Code" files="F10" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        MPCE Code
      </labl>
      <qstn>
        <qstnLit>
          MPCE Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V309" name="Persons" files="F10" dcml="0" intrvl="contin">
      <location StartPos="47" EndPos="48" width="2" RecSegNo="1"/>
      <labl>
        Persons
      </labl>
      <qstn>
        <qstnLit>
          Serial No. of members
        </qstnLit>
        <ivuInstr>
          For all members of the sample household, a running serial number will be put in this column, starting with the head who will get serial no. 1.
        </ivuInstr>
      </qstn>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V204" name="Consumer_Unit" files="F10" dcml="0" intrvl="contin">
      <location StartPos="49" EndPos="52" width="4" RecSegNo="1"/>
      <labl>
        Consumer Unit
      </labl>
      <valrng>
        <range min="0" max="3001"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3001
      </sumStat>
      <sumStat type="mean">
        415.064
      </sumStat>
      <sumStat type="stdev">
        221.06
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V205" name="B3_2_qa6_iv" files="F10" dcml="0" intrvl="contin">
      <location StartPos="53" EndPos="56" width="4" RecSegNo="1"/>
      <labl>
        No. of meals served to guests in ceremony
      </labl>
      <qstn>
        <qstnLit>
          No. of meals served to guests in ceremony?
        </qstnLit>
        <ivuInstr><![CDATA[Ceremonies are performed to solemnize some events of life like, birth, annarambha, birthday, marriage etc.  Members of a household may have to perform some religious rites consequent upon the death of a person.  For various religious faiths, there are some days in a year which are observed with ceremonial performances like offering puja,  prayer, ritual performances etc.  Such ceremonies may be performed by household members as required under the social/religious customs and not incurring expenditure for entertaining guests.  On the other hand, some households may spend  some amount of money for entertaining guests with meals which are considered as essential part of the ceremonies performed by them.   The purpose of providing this block in this schedule is to estimate the meals served to guests on ceremonies performed by the household during the last 30 days preceding the date of enquiry as also the meals served to guests and employees (non-members only) on any other occasion (other than ceremonies).  Hence, only those ceremonies on which guests were entertained with meals, should be listed here.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="9500"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9500
      </sumStat>
      <sumStat type="mean">
        5.054
      </sumStat>
      <sumStat type="stdev">
        150.323
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V206" name="B3_2_qb1" files="F10" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="60" width="4" RecSegNo="1"/>
      <labl>
        No. of meals served to guests in other than ceremony
      </labl>
      <qstn>
        <qstnLit>
          o. of meals served to guests in other than ceremony?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="3499"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3499
      </sumStat>
      <sumStat type="mean">
        6.536
      </sumStat>
      <sumStat type="stdev">
        23.856
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V207" name="B3_2_qb2" files="F10" dcml="0" intrvl="contin">
      <location StartPos="61" EndPos="64" width="4" RecSegNo="1"/>
      <labl>
        No. of meals served to employees in other than ceremony
      </labl>
      <qstn>
        <qstnLit>
          No. of meals served to employees in other than ceremony?
        </qstnLit>
        <ivuInstr><![CDATA[A person rendering domestic service to a number of households during the day time (like cleaning utensils, dusting and cleaning of rooms, washing linens, carrying water from outside etc.)  and gets some food from each of the households he/she serves.  Although the quantum of food received from a single household may, by quantity, be far less than a full meal,  the total quantity of food received from all the households taken together would often, if not more, be at least equivalent to a full meal.  In this particular situation, the person will be considered to be consuming one meal every day under 'meals taken away from home'.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="2106"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2106
      </sumStat>
      <sumStat type="mean">
        1.345
      </sumStat>
      <sumStat type="stdev">
        18.8
      </sumStat>
      <txt><![CDATA[Meal
A 'Meal' is composed of one of more readily cat able (generally cooked) items of food, the usual major constituent of which is cereal food. The meals consumed by a person twice or thrice a day provide him/her the required energy of (calorie) and other nutrients for living and for pursuing his/her normal avocations. A 'meal' as opposed to 'snacks ' as opposed to 'snacks', 'nasta' or  'high tea' , contains larger quantum and variety of food. In rare cases, a full meal may contain larger quantity of non-cereal food. Even that, if the total quantum of food in plate is heavy as a meal, the contents of the food plate will also be considered as a real.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'. The difference in quantity will there be the guiding factor for deciding whether the plate is to be led as a 'meal ' or a nasta.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V208" name="B4_q10" files="F10" dcml="0" intrvl="contin">
      <location StartPos="65" EndPos="67" width="3" RecSegNo="1"/>
      <labl>
        Meals (Free of cost)
      </labl>
      <qstn>
        <qstnLit>
          If you or any member of the household take meals free of cost , then how many such meals do you take in a day?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="630"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        630
      </sumStat>
      <sumStat type="mean">
        7.038
      </sumStat>
      <sumStat type="stdev">
        23.795
      </sumStat>
      <txt><![CDATA[A 'meal' is composed of one or more readily eatable (generally cooked) items of food, the usual major constituent of which is cereal food.  The meals consumed by a person twice or thrice a day provide him/her the required energy (calorie) and other nutrients for living and for pursuing his/her normal a vocations.  A 'meal'. As opposed to 'snacks,, 'nasta' or 'high tea'. Contains larger quantum and variety or food.  In rare cases, a full meal may contain larger quantity or non-cereal food.  Even then, if the total quantum of food in plate is as heavy as a meal, the contents of the food plate will also be considered as a 'meal'.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'.  The difference in quantity will there be the guiding factor for deciding whether the plate is to be labeled as a 'meal' or a 'nasta'.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V209" name="B4_q11" files="F10" dcml="0" intrvl="contin">
      <location StartPos="68" EndPos="70" width="3" RecSegNo="1"/>
      <labl>
        Meals (Payment)
      </labl>
      <qstn>
        <qstnLit>
          If you or any member of the household take meals away from home on payment, then how many such meals do you take?
        </qstnLit>
        <ivuInstr><![CDATA[For the purpose of making entry in  column "Meals (Payment)".  'Meals received on payment'  will mean that  the informant  has  to  incur some expense or  part  with  a  certain portion  of  his  salary/wage  for  getting  the  meals.    Meals purchased  from  hotel,  restaurant or an eating  house  will  be considered  as 'meals taken away from home on payment'  and  will have  to be counted also for making entry in column "Meals (Payment)".]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="600"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        600
      </sumStat>
      <sumStat type="mean">
        2.188
      </sumStat>
      <sumStat type="stdev">
        11.704
      </sumStat>
      <txt><![CDATA[A 'meal' is composed of one or more readily eatable (generally cooked) items of food, the usual major constituent of which is cereal food.  The meals consumed by a person twice or thrice a day provide him/her the required energy (calorie) and other nutrients for living and for pursuing his/her normal a vocations.  A 'meal'. As opposed to 'snacks,, 'nasta' or 'high tea'. Contains larger quantum and variety or food.  In rare cases, a full meal may contain larger quantity or non-cereal food.  Even then, if the total quantum of food in plate is as heavy as a meal, the contents of the food plate will also be considered as a 'meal'.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'.  The difference in quantity will there be the guiding factor for deciding whether the plate is to be labeled as a 'meal' or a 'nasta'.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V210" name="B4_q12" files="F10" dcml="0" intrvl="contin">
      <location StartPos="71" EndPos="73" width="3" RecSegNo="1"/>
      <labl>
        Meals(At Home)
      </labl>
      <qstn>
        <qstnLit>
          How many meals are taken at home in a day?
        </qstnLit>
        <ivuInstr><![CDATA[the number of meals taken at home by each member of the household during the period of 30 days preceding the date of survey will be recorded.  A meal will be considered to be taken at home if, the meal is prepared at home irrespective of the place where it is consumed.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        999
      </sumStat>
      <sumStat type="mean">
        331.459
      </sumStat>
      <sumStat type="stdev">
        187.332
      </sumStat>
      <txt><![CDATA[A 'meal' is composed of one or more readily eatable (generally cooked) items of food, the usual major constituent of which is cereal food.  The meals consumed by a person twice or thrice a day provide him/her the required energy (calorie) and other nutrients for living and for pursuing his/her normal a vocations.  A 'meal'. As opposed to 'snacks,, 'nasta' or 'high tea'. Contains larger quantum and variety or food.  In rare cases, a full meal may contain larger quantity or non-cereal food.  Even then, if the total quantum of food in plate is as heavy as a meal, the contents of the food plate will also be considered as a 'meal'.  Sometimes the contents of a 'nasta' may not be very different from the contents of a 'meal'.  The difference in quantity will there be the guiding factor for deciding whether the plate is to be labeled as a 'meal' or a 'nasta'.]]></txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V211" name="Calorie_cereal" files="F10" dcml="0" intrvl="contin">
      <location StartPos="74" EndPos="80" width="7" RecSegNo="1"/>
      <labl>
        Calorie taken from cereals
      </labl>
      <valrng>
        <range min="0" max="5320000"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5320000
      </sumStat>
      <sumStat type="mean">
        241294.224
      </sumStat>
      <sumStat type="stdev">
        167493.124
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V212" name="Calorie_cereal_substitute" files="F10" dcml="0" intrvl="contin">
      <location StartPos="81" EndPos="87" width="7" RecSegNo="1"/>
      <labl>
        Calorie taken from cereals' substitutes
      </labl>
      <valrng>
        <range min="0" max="1485000"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1485000
      </sumStat>
      <sumStat type="mean">
        1094.122
      </sumStat>
      <sumStat type="stdev">
        11654.691
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V213" name="Calorie_Food_Group1" files="F10" dcml="0" intrvl="contin">
      <location StartPos="88" EndPos="94" width="7" RecSegNo="1"/>
      <labl>
        Calorie taken from Food Group 1
      </labl>
      <valrng>
        <range min="0" max="6258800"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6258800
      </sumStat>
      <sumStat type="mean">
        266098.105
      </sumStat>
      <sumStat type="stdev">
        184142
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V214" name="Calorie_Food_Group2" files="F10" dcml="0" intrvl="contin">
      <location StartPos="95" EndPos="101" width="7" RecSegNo="1"/>
      <labl>
        Calorie taken from Food Group 2
      </labl>
      <valrng>
        <range min="0" max="1718600"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1718600
      </sumStat>
      <sumStat type="mean">
        15887.66
      </sumStat>
      <sumStat type="stdev">
        18286.824
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V215" name="Calorie_Food_Group3" files="F10" dcml="0" intrvl="contin">
      <location StartPos="102" EndPos="108" width="7" RecSegNo="1"/>
      <labl>
        Calorie taken from Food Group 3
      </labl>
      <valrng>
        <range min="0" max="1022000"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1022000
      </sumStat>
      <sumStat type="mean">
        18140.11
      </sumStat>
      <sumStat type="stdev">
        24787.44
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V216" name="Calorie_Food_Group4" files="F10" dcml="0" intrvl="contin">
      <location StartPos="109" EndPos="115" width="7" RecSegNo="1"/>
      <labl>
        Calorie taken from Food Group 4
      </labl>
      <valrng>
        <range min="0" max="2718000"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2718000
      </sumStat>
      <sumStat type="mean">
        18661.657
      </sumStat>
      <sumStat type="stdev">
        23087.63
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V217" name="Calorie_Food_Group5" files="F10" dcml="0" intrvl="contin">
      <location StartPos="116" EndPos="123" width="8" RecSegNo="1"/>
      <labl>
        Calorie taken from Food Group 5
      </labl>
      <valrng>
        <range min="0" max="42012417"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        42012417
      </sumStat>
      <sumStat type="mean">
        19142.809
      </sumStat>
      <sumStat type="stdev">
        178689.646
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V218" name="Total_Calories" files="F10" dcml="0" intrvl="contin">
      <location StartPos="124" EndPos="131" width="8" RecSegNo="1"/>
      <labl>
        Total calories
      </labl>
      <valrng>
        <range min="0" max="42434252"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        42434252
      </sumStat>
      <sumStat type="mean">
        337930.341
      </sumStat>
      <sumStat type="stdev">
        282962.893
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V219" name="Protein_Cereals" files="F10" dcml="2" intrvl="contin">
      <location StartPos="132" EndPos="139" width="8" RecSegNo="1"/>
      <labl>
        Protein from cereals
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="88810"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        88810
      </sumStat>
      <sumStat type="mean">
        6660.397
      </sumStat>
      <sumStat type="stdev">
        4837.153
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V220" name="Protein_Pulses" files="F10" dcml="2" intrvl="contin">
      <location StartPos="140" EndPos="147" width="8" RecSegNo="1"/>
      <labl>
        Protein from pulses
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="91625"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        91625
      </sumStat>
      <sumStat type="mean">
        1021.09
      </sumStat>
      <sumStat type="stdev">
        1111.725
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V221" name="Protein_Milk" files="F10" dcml="2" intrvl="contin">
      <location StartPos="148" EndPos="155" width="8" RecSegNo="1"/>
      <labl>
        Protein from milk &amp; milk products
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="53150"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        53150
      </sumStat>
      <sumStat type="mean">
        634.955
      </sumStat>
      <sumStat type="stdev">
        1061.785
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V222" name="Protein_Non_Veg" files="F10" dcml="2" intrvl="contin">
      <location StartPos="156" EndPos="163" width="8" RecSegNo="1"/>
      <labl>
        Protein from meat, fish &amp; eggs
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="66995"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        66995
      </sumStat>
      <sumStat type="mean">
        435.635
      </sumStat>
      <sumStat type="stdev">
        957.341
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V223" name="Total_Protein" files="F10" dcml="2" intrvl="contin">
      <location StartPos="164" EndPos="171" width="8" RecSegNo="1"/>
      <labl>
        Total Protein
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="92931"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        92931
      </sumStat>
      <sumStat type="mean">
        9484.369
      </sumStat>
      <sumStat type="stdev">
        6294.633
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V224" name="Total_Fat" files="F10" dcml="2" intrvl="contin">
      <location StartPos="172" EndPos="179" width="8" RecSegNo="1"/>
      <labl>
        Total fat
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="95905.9"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        95905.9
      </sumStat>
      <sumStat type="mean">
        4811.696
      </sumStat>
      <sumStat type="stdev">
        4374.547
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V225" name="B12_Total_Exp_Food" files="F10" dcml="2" intrvl="contin">
      <location StartPos="180" EndPos="186" width="7" RecSegNo="1"/>
      <labl>
        Total expenditure on food
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9287.5"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9287.5
      </sumStat>
      <sumStat type="mean">
        428.109
      </sumStat>
      <sumStat type="stdev">
        296.482
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V226" name="B12_Total_Exp_Non_Food" files="F10" dcml="2" intrvl="contin">
      <location StartPos="187" EndPos="194" width="8" RecSegNo="1"/>
      <labl>
        Total expenditure on non-food
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="93463"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        93463
      </sumStat>
      <sumStat type="mean">
        250.542
      </sumStat>
      <sumStat type="stdev">
        498.13
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V227" name="Wgt_Combined" wgt="wgt" files="F10" dcml="2" intrvl="contin">
      <location StartPos="195" EndPos="202" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="9.85" max="42792.68"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        9.85
      </sumStat>
      <sumStat type="max">
        42792.68
      </sumStat>
      <sumStat type="mean">
        1115.005
      </sumStat>
      <sumStat type="stdev">
        835.894
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V228" name="Wgt_SubSample" wgt="wgt" files="F10" dcml="2" intrvl="contin">
      <location StartPos="203" EndPos="210" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="19.04" max="85585.36"/>
      </valrng>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        19.04
      </sumStat>
      <sumStat type="max">
        85585.36
      </sumStat>
      <sumStat type="mean">
        2228.795
      </sumStat>
      <sumStat type="stdev">
        1685.153
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V229" name="Old_HH_Type" files="F10" intrvl="discrete">
      <location StartPos="211" EndPos="211" width="1" RecSegNo="1"/>
      <labl>
        Old Household Type
      </labl>
      <sumStat type="vald">
        117423
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          23053
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          21307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          5026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          33880
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          34157
        </catStat>
      </catgry>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V330" name="HHID" files="F13" intrvl="discrete">
      <location StartPos="1" EndPos="16" width="16" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining sector, state region, stratum, sub round, sub sample, serial no. of village / block and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V310" name="Sector" files="F13" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        3428080
      </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">
          2109914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          1318166
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V311" name="State_Region" files="F13" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <qstnLit>
          State_Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        3428080
      </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="V331" name="State" files="F13" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          247182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          138256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          238977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          136637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          49437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          54310
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          94165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          194464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          140912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          236828
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          385087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          35666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          30789
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          5857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          101255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          114533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          128830
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          6702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          267701
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          9102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          409488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          266007
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          27161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          1296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          6621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          7782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          41810
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa, Daman &amp; Diu
        </labl>
        <catStat type="freq">
          8514
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          34011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          8273
        </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="V312" name="Stratum" files="F13" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        3428080
      </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="V313" name="SubRound" files="F13" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          874570
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          818787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          870797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          863926
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V314" name="SubSample" files="F13" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        3428080
      </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">
          1709102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          1718978
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V315" name="Vill_Blk_Slno" files="F13" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <qstn>
        <qstnLit>
          Village/Bl. Srl. No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        3428080
      </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="V316" name="Hhold_no" files="F13" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V317" name="B3_1_q11" files="F13" dcml="2" intrvl="contin">
      <location StartPos="35" EndPos="42" width="8" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <qstn>
        <qstnLit>
          Monthly per capita expenditure
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="27588"/>
      </valrng>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        27588
      </sumStat>
      <sumStat type="mean">
        157.928
      </sumStat>
      <sumStat type="stdev">
        162.494
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V318" name="MPCE_Code" files="F13" intrvl="discrete">
      <location StartPos="43" EndPos="44" width="2" RecSegNo="1"/>
      <labl>
        MPCE Code
      </labl>
      <qstn>
        <qstnLit>
          MPCE Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V319" name="Record_Type" files="F13" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Record Type
      </labl>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          04
        </catValu>
        <catStat type="freq">
          3428080
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V320" name="Item_Code" files="F13" intrvl="discrete">
      <location StartPos="47" EndPos="49" width="3" RecSegNo="1"/>
      <labl>
        Block 5 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 5 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          paddy
        </labl>
        <catStat type="freq">
          915
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          rice
        </labl>
        <catStat type="freq">
          100073
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          chira
        </labl>
        <catStat type="freq">
          7316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          khoi/lawa
        </labl>
        <catStat type="freq">
          694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          muri
        </labl>
        <catStat type="freq">
          9938
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          109
        </catValu>
        <labl>
          other rice products
        </labl>
        <catStat type="freq">
          2647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          wheat
        </labl>
        <catStat type="freq">
          45690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          atta
        </labl>
        <catStat type="freq">
          70188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          rnaida
        </labl>
        <catStat type="freq">
          5253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          suji, rawa
        </labl>
        <catStat type="freq">
          10631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          sewai, noodles
        </labl>
        <catStat type="freq">
          897
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          bread (bakery).
        </labl>
        <catStat type="freq">
          8552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          119
        </catValu>
        <labl>
          Other wheat products
        </labl>
        <catStat type="freq">
          364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          jowar
        </labl>
        <catStat type="freq">
          13750
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          jowar products
        </labl>
        <catStat type="freq">
          14377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          bajra
        </labl>
        <catStat type="freq">
          7206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          bajra producis
        </labl>
        <catStat type="freq">
          7842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          maize
        </labl>
        <catStat type="freq">
          7069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          maize products
        </labl>
        <catStat type="freq">
          8588
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          barley
        </labl>
        <catStat type="freq">
          838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          barley -products
        </labl>
        <catStat type="freq">
          1100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          small millets
        </labl>
        <catStat type="freq">
          1225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          small millets products
        </labl>
        <catStat type="freq">
          1115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          ragi
        </labl>
        <catStat type="freq">
          5853
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          ragi products
        </labl>
        <catStat type="freq">
          5716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          gram (full grain)
        </labl>
        <catStat type="freq">
          15008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          gram products
        </labl>
        <catStat type="freq">
          4144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          tapioca dry/sago
        </labl>
        <catStat type="freq">
          5629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          tapioca (green)
        </labl>
        <catStat type="freq">
          2041
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          193
        </catValu>
        <labl>
          mahua
        </labl>
        <catStat type="freq">
          459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          194
        </catValu>
        <labl>
          jack fruit seed
        </labl>
        <catStat type="freq">
          207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          199
        </catValu>
        <labl><![CDATA[other cereal  substitutes]]></labl>
        <catStat type="freq">
          1194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          arhar (tur)
        </labl>
        <catStat type="freq">
          58395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          gram (split gram)
        </labl>
        <catStat type="freq">
          31112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Moong
        </labl>
        <catStat type="freq">
          46928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Masoor
        </labl>
        <catStat type="freq">
          37301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          Urad
        </labl>
        <catStat type="freq">
          35123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Khesari
        </labl>
        <catStat type="freq">
          5416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          Peas
        </labl>
        <catStat type="freq">
          5824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Soyabeen
        </labl>
        <catStat type="freq">
          846
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          other pulses
        </labl>
        <catStat type="freq">
          19535
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Besan
        </labl>
        <catStat type="freq">
          17937
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          other pulse products
        </labl>
        <catStat type="freq">
          4522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          milk (liquid)
        </labl>
        <catStat type="freq">
          74679
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          baby food
        </labl>
        <catStat type="freq">
          2071
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          milk (condensed, milk powder)
        </labl>
        <catStat type="freq">
          3451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          curd
        </labl>
        <catStat type="freq">
          18968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          ghee
        </labl>
        <catStat type="freq">
          20151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          butter
        </labl>
        <catStat type="freq">
          2908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          ice-cream
        </labl>
        <catStat type="freq">
          833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          other milk products., milk &amp; milk products
        </labl>
        <catStat type="freq">
          10244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Vanaspati
        </labl>
        <catStat type="freq">
          22067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          margarine
        </labl>
        <catStat type="freq">
          261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          mustard oil
        </labl>
        <catStat type="freq">
          54382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          groundnut oil
        </labl>
        <catStat type="freq">
          38464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          coconut oil
        </labl>
        <catStat type="freq">
          5863
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          236
        </catValu>
        <labl>
          gingelly (til) oil
        </labl>
        <catStat type="freq">
          4289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          237
        </catValu>
        <labl>
          linseed oil
        </labl>
        <catStat type="freq">
          2098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          refined oil
        </labl>
        <catStat type="freq">
          720
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          palm oil
        </labl>
        <catStat type="freq">
          6781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          rapeseed oil
        </labl>
        <catStat type="freq">
          999
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          oil seed
        </labl>
        <catStat type="freq">
          269
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          249
        </catValu>
        <labl>
          edible oil (others)
        </labl>
        <catStat type="freq">
          2229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl><![CDATA[goat  meat]]></labl>
        <catStat type="freq">
          28872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          mutton
        </labl>
        <catStat type="freq">
          4545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          253
        </catValu>
        <labl>
          beaf
        </labl>
        <catStat type="freq">
          6111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          pork
        </labl>
        <catStat type="freq">
          3358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          255
        </catValu>
        <labl>
          buffalo meat
        </labl>
        <catStat type="freq">
          2019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          other meat
        </labl>
        <catStat type="freq">
          1157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          poultry
        </labl>
        <catStat type="freq">
          8361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          other bird
        </labl>
        <catStat type="freq">
          755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          eggs
        </labl>
        <catStat type="freq">
          22739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl><![CDATA[egg  products]]></labl>
        <catStat type="freq">
          317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          fish fresh
        </labl>
        <catStat type="freq">
          33466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl><![CDATA[fish  dry]]></labl>
        <catStat type="freq">
          10311
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          potato
        </labl>
        <catStat type="freq">
          93802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          arum
        </labl>
        <catStat type="freq">
          7992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          radish
        </labl>
        <catStat type="freq">
          9533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          carrot
        </labl>
        <catStat type="freq">
          5786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          305
        </catValu>
        <labl>
          turnip
        </labl>
        <catStat type="freq">
          1502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          306
        </catValu>
        <labl>
          beet
        </labl>
        <catStat type="freq">
          1007
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          307
        </catValu>
        <labl>
          sweet potato
        </labl>
        <catStat type="freq">
          1351
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          onion
        </labl>
        <catStat type="freq">
          90030
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Other root vegetable
        </labl>
        <catStat type="freq">
          3296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          pumpkin
        </labl>
        <catStat type="freq">
          13979
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          gourd
        </labl>
        <catStat type="freq">
          27716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          bitter gourd
        </labl>
        <catStat type="freq">
          14144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          cucumber
        </labl>
        <catStat type="freq">
          5173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          parwal/patal
        </labl>
        <catStat type="freq">
          5862
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          jhinga/torai
        </labl>
        <catStat type="freq">
          9940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          317
        </catValu>
        <labl>
          snake gourd
        </labl>
        <catStat type="freq">
          2422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          other gourd
        </labl>
        <catStat type="freq">
          4858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          cauliflower
        </labl>
        <catStat type="freq">
          20685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          cabbage
        </labl>
        <catStat type="freq">
          22551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          brinjal
        </labl>
        <catStat type="freq">
          66483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          lady's finger
        </labl>
        <catStat type="freq">
          34733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          palak
        </labl>
        <catStat type="freq">
          18117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          326
        </catValu>
        <labl>
          other leafy vegetables
        </labl>
        <catStat type="freq">
          59133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          327
        </catValu>
        <labl>
          french beans and barbuti
        </labl>
        <catStat type="freq">
          4979
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          tomato
        </labl>
        <catStat type="freq">
          39670
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          peas
        </labl>
        <catStat type="freq">
          4585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          chillis (green)
        </labl>
        <catStat type="freq">
          53365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          capsicum
        </labl>
        <catStat type="freq">
          502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          plantain (green)
        </labl>
        <catStat type="freq">
          4987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Jack fruit (green)
        </labl>
        <catStat type="freq">
          2379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          Lemion (no.)
        </labl>
        <catStat type="freq">
          9943
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          339
        </catValu>
        <labl>
          other vegetables
        </labl>
        <catStat type="freq">
          30514
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          banana
        </labl>
        <catStat type="freq">
          35000
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          jack fruit
        </labl>
        <catStat type="freq">
          1693
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          water melon
        </labl>
        <catStat type="freq">
          2237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          pineapple
        </labl>
        <catStat type="freq">
          1301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          coconut
        </labl>
        <catStat type="freq">
          27498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          guava .
        </labl>
        <catStat type="freq">
          5660
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          singara
        </labl>
        <catStat type="freq">
          1069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          orange/mausami ( no.)
        </labl>
        <catStat type="freq">
          2972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          mango
        </labl>
        <catStat type="freq">
          10377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          kharbooza
        </labl>
        <catStat type="freq">
          613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          nashpati
        </labl>
        <catStat type="freq">
          425
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          354
        </catValu>
        <labl>
          berries
        </labl>
        <catStat type="freq">
          843
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          355
        </catValu>
        <labl>
          leechi
        </labl>
        <catStat type="freq">
          475
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          apple
        </labl>
        <catStat type="freq">
          8119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          357
        </catValu>
        <labl>
          grapes
        </labl>
        <catStat type="freq">
          3455
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          other- fresh fruits
        </labl>
        <catStat type="freq">
          3621
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          coconut (copra)
        </labl>
        <catStat type="freq">
          7594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          362
        </catValu>
        <labl>
          groundnut
        </labl>
        <catStat type="freq">
          12967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          363
        </catValu>
        <labl>
          dates
        </labl>
        <catStat type="freq">
          776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          cashewnut
        </labl>
        <catStat type="freq">
          1005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          365
        </catValu>
        <labl>
          walnut
        </labl>
        <catStat type="freq">
          209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          366
        </catValu>
        <labl>
          other nuts
        </labl>
        <catStat type="freq">
          335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          367
        </catValu>
        <labl>
          raisin, kishmish, monacca, etc
        </labl>
        <catStat type="freq">
          845
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          other dry fruits
        </labl>
        <catStat type="freq">
          1277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Sugar (crystal)
        </labl>
        <catStat type="freq">
          85100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Khandsari
        </labl>
        <catStat type="freq">
          2386
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          373
        </catValu>
        <labl>
          Gur (cane)
        </labl>
        <catStat type="freq">
          53188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          374
        </catValu>
        <labl>
          Gur (others)
        </labl>
        <catStat type="freq">
          5014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          375
        </catValu>
        <labl>
          Sugar candy (misri)
        </labl>
        <catStat type="freq">
          543
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Honey
        </labl>
        <catStat type="freq">
          388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          379
        </catValu>
        <labl>
          Sugar (others)
        </labl>
        <catStat type="freq">
          1123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl><![CDATA[Sea  salt]]></labl>
        <catStat type="freq">
          111175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          Other salt
        </labl>
        <catStat type="freq">
          1466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          391
        </catValu>
        <labl>
          Turmeric
        </labl>
        <catStat type="freq">
          103106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Black pepper
        </labl>
        <catStat type="freq">
          34456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          393
        </catValu>
        <labl>
          Dry chillies
        </labl>
        <catStat type="freq">
          100423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          394
        </catValu>
        <labl>
          Garlic
        </labl>
        <catStat type="freq">
          77741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          395
        </catValu>
        <labl>
          Tamarind
        </labl>
        <catStat type="freq">
          31638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          396
        </catValu>
        <labl>
          Ginger
        </labl>
        <catStat type="freq">
          35934
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          397
        </catValu>
        <labl>
          Curry powder
        </labl>
        <catStat type="freq">
          8624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Other spices
        </labl>
        <catStat type="freq">
          98501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          tea (cups)
        </labl>
        <catStat type="freq">
          49647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Tea (leaf)
        </labl>
        <catStat type="freq">
          74162
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Coffee (cups)
        </labl>
        <catStat type="freq">
          3504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          coffee (powder)
        </labl>
        <catStat type="freq">
          10397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          ice
        </labl>
        <catStat type="freq">
          399
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          cold beverage (bottle or canned) (no.)
        </labl>
        <catStat type="freq">
          683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          fruit juice and shake (glass)
        </labl>
        <catStat type="freq">
          308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          coconut green (no.)
        </labl>
        <catStat type="freq">
          550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          409
        </catValu>
        <labl>
          other beverages (cocoa, chocolate, bournvita,ovaltin, horlicks, etc.)
        </labl>
        <catStat type="freq">
          1305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          biscuits
        </labl>
        <catStat type="freq">
          24323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          salted refreshment
        </labl>
        <catStat type="freq">
          28025
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          sweets
        </labl>
        <catStat type="freq">
          17357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          cooked meals
        </labl>
        <catStat type="freq">
          10724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          415
        </catValu>
        <labl>
          cake, pastry
        </labl>
        <catStat type="freq">
          213
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          416
        </catValu>
        <labl>
          pickles (gm.)
        </labl>
        <catStat type="freq">
          2908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          sauce (gm.)
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          jam/jelly (gm)
        </labl>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          other processed food (gm )
        </labl>
        <catStat type="freq">
          3693
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Pan(leaf)
        </labl>
        <catStat type="freq">
          23522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Pan finished
        </labl>
        <catStat type="freq">
          15493
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          supari
        </labl>
        <catStat type="freq">
          25691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          lime
        </labl>
        <catStat type="freq">
          21767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          katha
        </labl>
        <catStat type="freq">
          7804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          509
        </catValu>
        <labl>
          other ingredients for pan
        </labl>
        <catStat type="freq">
          5367
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          bidi
        </labl>
        <catStat type="freq">
          45025
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          cigarettes
        </labl>
        <catStat type="freq">
          11282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          garni/leaf tobacco
        </labl>
        <catStat type="freq">
          30103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          snuff (gm)
        </labl>
        <catStat type="freq">
          2987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl><![CDATA[hookha tobacco (kg.)  ]]></labl>
        <catStat type="freq">
          5232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          cheroot (no.)
        </labl>
        <catStat type="freq">
          1527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          517
        </catValu>
        <labl>
          Zarda, kimam, surt.(gm.)
        </labl>
        <catStat type="freq">
          1989
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          other tobacco prods. (gm.)
        </labl>
        <catStat type="freq">
          3584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          ganja
        </labl>
        <catStat type="freq">
          657
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          toddy
        </labl>
        <catStat type="freq">
          3604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          country liquor
        </labl>
        <catStat type="freq">
          9985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          opium, bhang, charas (gm.)
        </labl>
        <catStat type="freq">
          195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          beer (litre)
        </labl>
        <catStat type="freq">
          266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          foreign liquor or refined liquor (brandy,whisky,etc) (litre)
        </labl>
        <catStat type="freq">
          677
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          529
        </catValu>
        <labl>
          other drugs and intoxicants (x)
        </labl>
        <catStat type="freq">
          788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          coke
        </labl>
        <catStat type="freq">
          6888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          firewood and chips
        </labl>
        <catStat type="freq">
          89707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          electricity
        </labl>
        <catStat type="freq">
          34524
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          dung cake
        </labl>
        <catStat type="freq">
          44227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          605
        </catValu>
        <labl>
          kerosene
        </labl>
        <catStat type="freq">
          107421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          606
        </catValu>
        <labl>
          matches
        </labl>
        <catStat type="freq">
          109433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          607
        </catValu>
        <labl>
          coal
        </labl>
        <catStat type="freq">
          1768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          608
        </catValu>
        <labl>
          coal gas (st. unit)
        </labl>
        <catStat type="freq">
          208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          gas (oil &amp; natural) (st. unit)
        </labl>
        <catStat type="freq">
          3597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          char coal (kg.)
        </labl>
        <catStat type="freq">
          885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          other oil used for lighting (litre)
        </labl>
        <catStat type="freq">
          438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          candle (no.)
        </labl>
        <catStat type="freq">
          1761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          methylated spirit (litre)
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          gobar gas (specify)
        </labl>
        <catStat type="freq">
          405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          other fuel &amp; light (specify)
        </labl>
        <catStat type="freq">
          5458
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          699
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V321" name="B5_q4" files="F13" dcml="2" intrvl="contin">
      <location StartPos="50" EndPos="56" width="7" RecSegNo="1"/>
      <labl>
        Cash Purchase Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8000"/>
      </valrng>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8000
      </sumStat>
      <sumStat type="mean">
        4.664
      </sumStat>
      <sumStat type="stdev">
        19.491
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V322" name="B5_q5" files="F13" dcml="2" intrvl="contin">
      <location StartPos="57" EndPos="63" width="7" RecSegNo="1"/>
      <labl>
        Cash Purchase Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the purchase of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="6600"/>
      </valrng>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6600
      </sumStat>
      <sumStat type="mean">
        12.397
      </sumStat>
      <sumStat type="stdev">
        33.41
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V323" name="B5_q6" files="F13" dcml="2" intrvl="contin">
      <location StartPos="64" EndPos="70" width="7" RecSegNo="1"/>
      <labl>
        Quantity of Home Grown Items Consumed
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the home grown item was consumed by the household in the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Consumption of any of the items in the block, made out of home-grown/produced stock i.e. out of goods produced by the household in its own farm or manufacturing establishments, during the last 30 days will be recorded here.  The quantity of an item consumed out of home=grown stock will be recorded in column (6) and its value will be shown in column (7).  The value will be imputed at the ex-farm or ex-factory price.  Home produced agricultural produce include any produce obtained from cultivation by the household or obtained in the form of rent-share of land leased out.  Produce brought from village home and consumed in urban residence will also be treated as 'home-grown stock'.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9000"/>
      </valrng>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9000
      </sumStat>
      <sumStat type="mean">
        1.933
      </sumStat>
      <sumStat type="stdev">
        16.686
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V324" name="B5_q7" files="F13" dcml="2" intrvl="contin">
      <location StartPos="71" EndPos="77" width="7" RecSegNo="1"/>
      <labl>
        Value of Home Grown Items Consumed
      </labl>
      <qstn>
        <qstnLit>
          Home grown item of how much value was consumed by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="1660"/>
      </valrng>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        1660
      </sumStat>
      <sumStat type="mean">
        3.198
      </sumStat>
      <sumStat type="stdev">
        23.208
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V325" name="B5_q10" files="F13" dcml="2" intrvl="contin">
      <location StartPos="78" EndPos="84" width="7" RecSegNo="1"/>
      <labl>
        Total consumption - Quantity
      </labl>
      <qstn>
        <ivuInstr><![CDATA[These columns relate to the total consumption of household during reference period.  The total consumption data should be strictly restricted to the domestic consumption of the household.  The expenditure incurred on account of pet animal, will be excluded.  It may be noted that consumption by livestock of the household will not be included. in the household consumption.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9000"/>
      </valrng>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9000
      </sumStat>
      <sumStat type="mean">
        8.178
      </sumStat>
      <sumStat type="stdev">
        28.539
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V326" name="B5_q11" files="F13" dcml="2" intrvl="contin">
      <location StartPos="85" EndPos="91" width="7" RecSegNo="1"/>
      <labl>
        Total consumption - Value
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="6002"/>
      </valrng>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6002
      </sumStat>
      <sumStat type="mean">
        16.773
      </sumStat>
      <sumStat type="stdev">
        39.879
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V327" name="Wgt_Combined" wgt="wgt" files="F13" dcml="2" intrvl="contin">
      <location StartPos="92" EndPos="99" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="9.85" max="42792.68"/>
      </valrng>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        9.85
      </sumStat>
      <sumStat type="max">
        42792.68
      </sumStat>
      <sumStat type="mean">
        1108.744
      </sumStat>
      <sumStat type="stdev">
        784.81
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V328" name="Wgt_SubSample" wgt="wgt" files="F13" dcml="2" intrvl="contin">
      <location StartPos="100" EndPos="107" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="19.04" max="85585.36"/>
      </valrng>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        19.04
      </sumStat>
      <sumStat type="max">
        85585.36
      </sumStat>
      <sumStat type="mean">
        2215.981
      </sumStat>
      <sumStat type="stdev">
        1583.472
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V329" name="Old_HH_Type" files="F13" intrvl="discrete">
      <location StartPos="108" EndPos="108" width="1" RecSegNo="1"/>
      <labl>
        Old Household Type
      </labl>
      <sumStat type="vald">
        3428080
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V44" name="HHID" files="F2" intrvl="discrete">
      <location StartPos="1" EndPos="16" width="16" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining sector, state region, stratum, sub round, sub sample, serial no. of village / block and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V23" name="Sector" files="F2" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88816
      </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">
          62922
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          25894
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V24" name="State_Region" files="F2" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <qstnLit>
          State_Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88816
      </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="V45" name="State" files="F2" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          7093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          2533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          7550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          1915
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          1333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          1278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          3968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          3454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          6630
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          8331
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          598
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          3135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          3369
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          5147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          5281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          1084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          13219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          7753
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          1118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa, Daman &amp; Diu
        </labl>
        <catStat type="freq">
          150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          660
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          174
        </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="V25" name="Stratum" files="F2" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88816
      </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="V26" name="SubRound" files="F2" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          22127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          23251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          20154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          23284
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V27" name="SubSample" files="F2" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88816
      </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">
          44189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          44627
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V28" name="Vill_Blk_Slno" files="F2" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <qstn>
        <qstnLit>
          Village/Bl. Srl. No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88816
      </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="V29" name="Hhold_no" files="F2" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V30" name="B3_1_q11" files="F2" dcml="2" intrvl="contin">
      <location StartPos="35" EndPos="42" width="8" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <qstn>
        <qstnLit>
          Monthly per capita expenditure
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="27588"/>
      </valrng>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        27588
      </sumStat>
      <sumStat type="mean">
        206.036
      </sumStat>
      <sumStat type="stdev">
        248.694
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="MPCE_Code" files="F2" intrvl="discrete">
      <location StartPos="43" EndPos="44" width="2" RecSegNo="1"/>
      <labl>
        MPCE Code
      </labl>
      <qstn>
        <qstnLit>
          MPCE Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V32" name="Record_Type" files="F2" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Record Type
      </labl>
      <qstn>
        <qstnLit>
          Record Type
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          05
        </catValu>
        <catStat type="freq">
          88816
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V33" name="B6_1_q1" files="F2" intrvl="discrete">
      <location StartPos="47" EndPos="49" width="3" RecSegNo="1"/>
      <labl>
        Block 6.1 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 6.1 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          dhoti
        </labl>
        <catStat type="freq">
          7477
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          sari
        </labl>
        <catStat type="freq">
          14667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          cloth for shirt, pyjama, salwar, etc.
        </labl>
        <catStat type="freq">
          25781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          cloth for coat, trousers, overcoat, etc. (m)
        </labl>
        <catStat type="freq">
          5916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          chaddar, dopatta, wrapper, shawl, etc. (m)
        </labl>
        <catStat type="freq">
          3051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          lungi (m)
        </labl>
        <catStat type="freq">
          4717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          gamcha, towel, handkerchief, etc. (no.)
        </labl>
        <catStat type="freq">
          5220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          hosiery articles,stockings, undergarments, etc. (no.)
        </labl>
        <catStat type="freq">
          6605
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          ready made garments (no.)
        </labl>
        <catStat type="freq">
          10539
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          headgear (m)
        </labl>
        <catStat type="freq">
          475
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          knitted garments, sweater, pullover, cardigan muffler, scarf, etc. (no.)
        </labl>
        <catStat type="freq">
          597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          bed sheet, bed cover (m)
        </labl>
        <catStat type="freq">
          741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          rug, blankets (m).
        </labl>
        <catStat type="freq">
          314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          pillow, quilt, matress (no.)
        </labl>
        <catStat type="freq">
          648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          clothes for upholstery, curtain, table cloth, etc. (m)
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          mosquito net (no.)
        </labl>
        <catStat type="freq">
          174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl><![CDATA[mats and matting  (no.)]]></labl>
        <catStat type="freq">
          160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          cotton, cotton yarn (gm.)
        </labl>
        <catStat type="freq">
          294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          knitting wool (gm)
        </labl>
        <catStat type="freq">
          312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          clothing others (no.)
        </labl>
        <catStat type="freq">
          1030
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V34" name="B6_1_q3" files="F2" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Type Code
      </labl>
      <qstn>
        <qstnLit>
          Cloth Type Code
        </qstnLit>
        <ivuInstr><![CDATA[In this column, the type code will be entered for the item recorded in column (2).   A 'type code' will specify the material e.g. cotton, wool, silk, etc., with which the item of clothing is made.  If an item is made of cotton,  a  further distinction  will be made as mill-made powerloom, handloom and khadi production.  The type codes are 

cotton
mill-made………………..1		art silk, rayon…………………6
powerloom……………….2		or other synthetic textile
handloom………………..3		pure silk………………………7
khadi…………………….4		mixed-wool/synthetic/………..8
wool……………………..5		cotton/silk
					others…………………………9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          cotton/mill made
        </labl>
        <catStat type="freq">
          52125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          powerloom
        </labl>
        <catStat type="freq">
          6290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          handloom
        </labl>
        <catStat type="freq">
          7298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          khadi
        </labl>
        <catStat type="freq">
          815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          wool
        </labl>
        <catStat type="freq">
          1084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          art silk,rayon or other synthetic textile
        </labl>
        <catStat type="freq">
          13078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          pure silk
        </labl>
        <catStat type="freq">
          167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          mixed-wool/ synthetic/ cotton/ silk
        </labl>
        <catStat type="freq">
          5960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          1999
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V35" name="B6_1_q5" files="F2" dcml="2" intrvl="contin">
      <location StartPos="51" EndPos="57" width="7" RecSegNo="1"/>
      <labl>
        Cash Purchase Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="6000"/>
      </valrng>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6000
      </sumStat>
      <sumStat type="mean">
        4.509
      </sumStat>
      <sumStat type="stdev">
        31.695
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V36" name="B6_1_q6" files="F2" dcml="2" intrvl="contin">
      <location StartPos="58" EndPos="64" width="7" RecSegNo="1"/>
      <labl>
        Cash Purchase Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the purchase of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9000"/>
      </valrng>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9000
      </sumStat>
      <sumStat type="mean">
        69.088
      </sumStat>
      <sumStat type="stdev">
        131.287
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V37" name="B6_1_q7" files="F2" dcml="2" intrvl="contin">
      <location StartPos="65" EndPos="70" width="6" RecSegNo="1"/>
      <labl>
        Quantity of Home Grown Items Consumed
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the home grown item was consumed by the household in the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Consumption of any of the items in the block, made out of home-grown/produced stock i.e. out of goods produced by the household in its own farm or manufacturing establishments, during the last 30 days will be recorded here.  The quantity of an item consumed out of home=grown stock will be recorded in column (7) and its value will be shown in column (8).  The value will be imputed at the ex-farm or ex-factory price.  Home produced agricultural produce include any produce obtained from cultivation by the household or obtained in the form of rent-share of land leased out.  Produce brought from village home and consumed in urban residence will also be treated as 'home-grown stock'.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="600"/>
      </valrng>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        600
      </sumStat>
      <sumStat type="mean">
        0.0203
      </sumStat>
      <sumStat type="stdev">
        2.72
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V38" name="B6_1_q8" files="F2" dcml="2" intrvl="contin">
      <location StartPos="71" EndPos="77" width="7" RecSegNo="1"/>
      <labl>
        Value of Home Grown Items Consumed
      </labl>
      <qstn>
        <qstnLit>
          Home grown item of how much value was consumed by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9000"/>
      </valrng>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9000
      </sumStat>
      <sumStat type="mean">
        0.324
      </sumStat>
      <sumStat type="stdev">
        36.837
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V39" name="B6_1_q9" files="F2" dcml="2" intrvl="contin">
      <location StartPos="78" EndPos="84" width="7" RecSegNo="1"/>
      <labl>
        Total consumption - Quantity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="5500"/>
      </valrng>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5500
      </sumStat>
      <sumStat type="mean">
        4.302
      </sumStat>
      <sumStat type="stdev">
        25.145
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="B6_1_q10" files="F2" dcml="2" intrvl="contin">
      <location StartPos="85" EndPos="91" width="7" RecSegNo="1"/>
      <labl>
        Total consumption - Value
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9500"/>
      </valrng>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9500
      </sumStat>
      <sumStat type="mean">
        65.666
      </sumStat>
      <sumStat type="stdev">
        124.473
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V41" name="Wgt_Combined" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="92" EndPos="99" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="9.85" max="18055"/>
      </valrng>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        9.85
      </sumStat>
      <sumStat type="max">
        18055
      </sumStat>
      <sumStat type="mean">
        1191.589
      </sumStat>
      <sumStat type="stdev">
        724.179
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V42" name="Wgt_SubSample" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="100" EndPos="107" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="19.04" max="32499"/>
      </valrng>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        19.04
      </sumStat>
      <sumStat type="max">
        32499
      </sumStat>
      <sumStat type="mean">
        2382.794
      </sumStat>
      <sumStat type="stdev">
        1470.564
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="Old_HH_Type" files="F2" intrvl="discrete">
      <location StartPos="108" EndPos="108" width="1" RecSegNo="1"/>
      <labl>
        Old Household Type
      </labl>
      <sumStat type="vald">
        88816
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          15488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          13744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          3663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          31927
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          23994
        </catStat>
      </catgry>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V67" name="HHID" files="F3" intrvl="discrete">
      <location StartPos="1" EndPos="16" width="16" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining sector, state region, stratum, sub round, sub sample, serial no. of village / block and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V46" name="Sector" files="F3" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        607025
      </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">
          394097
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          212928
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V47" name="State_Region" files="F3" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <qstnLit>
          State_Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        607025
      </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="F3" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          37998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          23578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          58641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          21769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          9653
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          6650
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          10271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          27599
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          23897
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          47613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          58504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          4061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          5093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          705
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          20494
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          19779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          27804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          1827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          40302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          6063
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          80247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          53336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          5402
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          1189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          1811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          4754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa, Daman &amp; Diu
        </labl>
        <catStat type="freq">
          1362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          5100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          1208
        </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="V48" name="Stratum" files="F3" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        607025
      </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="V49" name="SubRound" files="F3" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          144976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          148885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          157936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          155228
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V50" name="SubSample" files="F3" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        607025
      </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">
          303020
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          304005
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V51" name="Vill_Blk_Slno" files="F3" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <qstn>
        <qstnLit>
          Village/Bl. Srl. No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        607025
      </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="V52" name="Hhold_no" files="F3" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V53" name="B3_1_q11" files="F3" dcml="2" intrvl="contin">
      <location StartPos="35" EndPos="42" width="8" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <qstn>
        <qstnLit>
          Monthly per capita expenditure
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="27588"/>
      </valrng>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        27588
      </sumStat>
      <sumStat type="mean">
        154.017
      </sumStat>
      <sumStat type="stdev">
        153.576
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V54" name="MPCE_Code" files="F3" intrvl="discrete">
      <location StartPos="43" EndPos="44" width="2" RecSegNo="1"/>
      <labl>
        MPCE Code
      </labl>
      <qstn>
        <qstnLit>
          MPCE Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V55" name="Record_Type" files="F3" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Record Type
      </labl>
      <qstn>
        <qstnLit>
          Record Type
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          06
        </catValu>
        <catStat type="freq">
          607025
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V56" name="B6_2_q1" files="F3" intrvl="discrete">
      <location StartPos="47" EndPos="49" width="3" RecSegNo="1"/>
      <labl>
        Block 6.2 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 6.2 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          dhoti
        </labl>
        <catStat type="freq">
          53468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          sari
        </labl>
        <catStat type="freq">
          85704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          cloth for shirt, pyjama, salwar, etc.
        </labl>
        <catStat type="freq">
          123673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          cloth for coat, trousers, overcoat, etc. (m)
        </labl>
        <catStat type="freq">
          40818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          chaddar, dopatta, wrapper, shawl, etc. (m)
        </labl>
        <catStat type="freq">
          24920
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          lungi (m)
        </labl>
        <catStat type="freq">
          42239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          gamcha, towel, handkerchief, etc. (no.)
        </labl>
        <catStat type="freq">
          63698
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          hosiery articles,stockings, undergarments, etc. (no.)
        </labl>
        <catStat type="freq">
          63575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          ready made garments (no.)
        </labl>
        <catStat type="freq">
          54720
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          headgear (m)
        </labl>
        <catStat type="freq">
          4759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          knitted garments, sweater, pullover, cardigan muffler, scarf, etc. (no.)
        </labl>
        <catStat type="freq">
          6185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          bed sheet, bed cover (m)
        </labl>
        <catStat type="freq">
          9601
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          rug, blankets (m).
        </labl>
        <catStat type="freq">
          4040
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          pillow, quilt, matress (no.)
        </labl>
        <catStat type="freq">
          6966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          117
        </catValu>
        <labl>
          clothes for upholstery, curtain, table cloth, etc. (m)
        </labl>
        <catStat type="freq">
          661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          118
        </catValu>
        <labl>
          mosquito net (no.)
        </labl>
        <catStat type="freq">
          1752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl><![CDATA[mats and matting  (no.)]]></labl>
        <catStat type="freq">
          2741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          cotton, cotton yarn (gm.)
        </labl>
        <catStat type="freq">
          3978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          knitting wool (gm)
        </labl>
        <catStat type="freq">
          3712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          129
        </catValu>
        <labl>
          clothing others (no.)
        </labl>
        <catStat type="freq">
          9815
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V57" name="B6_2_q3" files="F3" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Type Code
      </labl>
      <qstn>
        <qstnLit>
          Cloth Type Code
        </qstnLit>
        <ivuInstr><![CDATA[In this column, the type code will be entered for the item recorded in column (2).   A 'type code' will specify the material e.g. cotton, wool, silk, etc., with which the item of clothing is made.  If an item is made of cotton,  a  further distinction  will be made as mill-made powerloom, handloom and khadi production.  The type codes are 

cotton
mill-made………………..1		art silk, rayon…………………6
powerloom……………….2		or other synthetic textile
handloom………………..3		pure silk………………………7
khadi…………………….4		mixed-wool/synthetic/………..8
wool……………………..5		cotton/silk
					others…………………………9]]></ivuInstr>
      </qstn>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          cotton/mill made
        </labl>
        <catStat type="freq">
          361331
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          powerloom
        </labl>
        <catStat type="freq">
          46752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          handloom
        </labl>
        <catStat type="freq">
          60397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          khadi
        </labl>
        <catStat type="freq">
          5011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          wool
        </labl>
        <catStat type="freq">
          11297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          art silk,rayon or other synthetic textile
        </labl>
        <catStat type="freq">
          69308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          pure silk
        </labl>
        <catStat type="freq">
          880
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          mixed-wool/ synthetic/ cotton/ silk
        </labl>
        <catStat type="freq">
          36020
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          others
        </labl>
        <catStat type="freq">
          16029
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V58" name="B6_2_q5" files="F3" dcml="2" intrvl="contin">
      <location StartPos="51" EndPos="57" width="7" RecSegNo="1"/>
      <labl>
        Cash Purchase Quantity
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the item was purchased by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="7000"/>
      </valrng>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        7000
      </sumStat>
      <sumStat type="mean">
        7.279
      </sumStat>
      <sumStat type="stdev">
        19.716
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V59" name="B6_2_q6" files="F3" dcml="2" intrvl="contin">
      <location StartPos="58" EndPos="64" width="7" RecSegNo="1"/>
      <labl>
        Cash Purchase Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the purchase of the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9750"/>
      </valrng>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9750
      </sumStat>
      <sumStat type="mean">
        110.985
      </sumStat>
      <sumStat type="stdev">
        184.682
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V60" name="B6_2_q7" files="F3" dcml="2" intrvl="contin">
      <location StartPos="65" EndPos="71" width="7" RecSegNo="1"/>
      <labl>
        Quantity of Home Grown Items Consumed
      </labl>
      <qstn>
        <qstnLit>
          How much quantity of the home grown item was consumed by the household in the last 365 days?
        </qstnLit>
        <ivuInstr><![CDATA[Consumption of any of the items in the block, made out of home-grown/produced stock i.e. out of goods produced by the household in its own farm or manufacturing establishments, during the last 30 days will be recorded here.  The quantity of an item consumed out of home=grown stock will be recorded in column (7) and its value will be shown in column (8).  The value will be imputed at the ex-farm or ex-factory price.  Home produced agricultural produce include any produce obtained from cultivation by the household or obtained in the form of rent-share of land leased out.  Produce brought from village home and consumed in urban residence will also be treated as 'home-grown stock'.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="6000"/>
      </valrng>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6000
      </sumStat>
      <sumStat type="mean">
        0.0417
      </sumStat>
      <sumStat type="stdev">
        10.177
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V61" name="B6_2_q8" files="F3" dcml="2" intrvl="contin">
      <location StartPos="72" EndPos="78" width="7" RecSegNo="1"/>
      <labl>
        Value of Home Grown Items Consumed
      </labl>
      <qstn>
        <qstnLit>
          Home grown item of how much value was consumed by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9600"/>
      </valrng>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9600
      </sumStat>
      <sumStat type="mean">
        0.487
      </sumStat>
      <sumStat type="stdev">
        26.287
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V62" name="B6_2_q9" files="F3" dcml="2" intrvl="contin">
      <location StartPos="79" EndPos="85" width="7" RecSegNo="1"/>
      <labl>
        Total consumption - Quantity
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="7500.07"/>
      </valrng>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        7500.07
      </sumStat>
      <sumStat type="mean">
        7.505
      </sumStat>
      <sumStat type="stdev">
        28.757
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V63" name="B6_2_q10" files="F3" dcml="2" intrvl="contin">
      <location StartPos="86" EndPos="92" width="7" RecSegNo="1"/>
      <labl>
        Total consumption - Value
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9600"/>
      </valrng>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9600
      </sumStat>
      <sumStat type="mean">
        112.411
      </sumStat>
      <sumStat type="stdev">
        191.393
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V64" name="Wgt_Combined" wgt="wgt" files="F3" dcml="2" intrvl="contin">
      <location StartPos="93" EndPos="100" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="9.85" max="42792.68"/>
      </valrng>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        9.85
      </sumStat>
      <sumStat type="max">
        42792.68
      </sumStat>
      <sumStat type="mean">
        1140.603
      </sumStat>
      <sumStat type="stdev">
        791.252
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V65" name="Wgt_SubSample" wgt="wgt" files="F3" dcml="2" intrvl="contin">
      <location StartPos="101" EndPos="108" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="19.04" max="85585.36"/>
      </valrng>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        19.04
      </sumStat>
      <sumStat type="max">
        85585.36
      </sumStat>
      <sumStat type="mean">
        2279.825
      </sumStat>
      <sumStat type="stdev">
        1599.684
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="Old_HH_Type" files="F3" intrvl="discrete">
      <location StartPos="109" EndPos="109" width="1" RecSegNo="1"/>
      <labl>
        Old Household Type
      </labl>
      <sumStat type="vald">
        607025
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          122614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          99770
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          25038
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          182005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          177598
        </catStat>
      </catgry>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V89" name="HHID" files="F4" intrvl="discrete">
      <location StartPos="1" EndPos="16" width="16" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining sector, state region, stratum, sub round, sub sample, serial no. of village / block and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V69" name="Sector" files="F4" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        26611
      </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">
          16802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          9809
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V70" name="State_Region" files="F4" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <qstnLit>
          State_Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        26611
      </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="V90" name="State" files="F4" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          1176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          678
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          1108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          1076
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          829
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          926
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          2181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          2363
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          2148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          2206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          3986
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          1251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          291
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          425
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa, Daman &amp; Diu
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          28
        </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="V71" name="Stratum" files="F4" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        26611
      </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="V72" name="SubRound" files="F4" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          6968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          6465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          6464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          6714
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V73" name="SubSample" files="F4" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        26611
      </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">
          13020
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          13591
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V74" name="Vill_Blk_Slno" files="F4" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <qstn>
        <qstnLit>
          Village/Bl. Srl. No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        26611
      </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="V75" name="Hhold_no" files="F4" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V76" name="B3_1_q11" files="F4" dcml="2" intrvl="contin">
      <location StartPos="35" EndPos="41" width="7" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <qstn>
        <qstnLit>
          Monthly per capita expenditure
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="6365.19"/>
      </valrng>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6365.19
      </sumStat>
      <sumStat type="mean">
        206.204
      </sumStat>
      <sumStat type="stdev">
        184.178
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V77" name="MPCE_Code" files="F4" intrvl="discrete">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        MPCE Code
      </labl>
      <qstn>
        <qstnLit>
          MPCE Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V78" name="Record_Type" files="F4" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Record Type
      </labl>
      <qstn>
        <qstnLit>
          Record Type
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          07
        </catValu>
        <catStat type="freq">
          26611
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V79" name="B7_1_q1" files="F4" intrvl="discrete">
      <location StartPos="46" EndPos="48" width="3" RecSegNo="1"/>
      <labl>
        Block 7.1 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Footwear Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          leather boots, shoe
        </labl>
        <catStat type="freq">
          3547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          leather sandals, chappals, etc.
        </labl>
        <catStat type="freq">
          5401
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          other leather foot-wear
        </labl>
        <catStat type="freq">
          2233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          other footwear
        </labl>
        <catStat type="freq">
          15430
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V80" name="B7_1_q4" files="F4" dcml="0" intrvl="contin">
      <location StartPos="49" EndPos="56" width="8" RecSegNo="1"/>
      <labl>
        Cash Purchase Quantity (Pair)
      </labl>
      <qstn>
        <qstnLit>
          How many pairs of the item were purchased by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="22000176"/>
      </valrng>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        22000176
      </sumStat>
      <sumStat type="mean">
        1666750.382
      </sumStat>
      <sumStat type="stdev">
        1182485.856
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V81" name="B7_1_q5" files="F4" dcml="2" intrvl="contin">
      <location StartPos="57" EndPos="65" width="9" RecSegNo="1"/>
      <labl>
        Cash Purchase Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the purchase of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="990000"/>
      </valrng>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        990000
      </sumStat>
      <sumStat type="mean">
        38060.637
      </sumStat>
      <sumStat type="stdev">
        152112.446
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V82" name="B7_1_q6" files="F4" dcml="0" intrvl="contin">
      <location StartPos="66" EndPos="73" width="8" RecSegNo="1"/>
      <labl>
        Quantity of Home Grown Items Consumed (Pair)
      </labl>
      <qstn>
        <qstnLit>
          How many pairs of the home grown item were consumed by the household in the last 30 days?
        </qstnLit>
        <ivuInstr><![CDATA[Consumption of any of the items in the block, made out of home-grown/produced stock i.e. out of goods produced by the household in its own farm or manufacturing establishments, during the last 30 days will be recorded here.  The quantity of an item consumed out of home=grown stock will be recorded in column (6) and its value will be shown in column (7).  The value will be imputed at the ex-farm or ex-factory price.  Home produced agricultural produce include any produce obtained from cultivation by the household or obtained in the form of rent-share of land leased out.  Produce brought from village home and consumed in urban residence will also be treated as 'home-grown stock'.]]></ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="10000002"/>
      </valrng>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10000002
      </sumStat>
      <sumStat type="mean">
        4871.443
      </sumStat>
      <sumStat type="stdev">
        148620.401
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V83" name="B7_1_q7" files="F4" dcml="2" intrvl="contin">
      <location StartPos="74" EndPos="80" width="7" RecSegNo="1"/>
      <labl>
        Value of Home Grown Items Consumed
      </labl>
      <qstn>
        <qstnLit>
          Home grown item of how much value was consumed by the household in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="5000"/>
      </valrng>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5000
      </sumStat>
      <sumStat type="mean">
        35.674
      </sumStat>
      <sumStat type="stdev">
        76.633
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V84" name="B7_1_q8" files="F4" dcml="0" intrvl="contin">
      <location StartPos="81" EndPos="86" width="6" RecSegNo="1"/>
      <labl>
        Total consumption - Quantity (Pair)
      </labl>
      <valrng>
        <range UNITS="REAL" min="98" max="126745"/>
      </valrng>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        98
      </sumStat>
      <sumStat type="max">
        126745
      </sumStat>
      <sumStat type="mean">
        10400.433
      </sumStat>
      <sumStat type="stdev">
        7380.713
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V85" name="B7_1_q9" files="F4" dcml="2" intrvl="contin">
      <location StartPos="87" EndPos="95" width="9" RecSegNo="1"/>
      <labl>
        Total consumption - Value
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.36" max="900229.61"/>
      </valrng>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.36
      </sumStat>
      <sumStat type="max">
        900229.61
      </sumStat>
      <sumStat type="mean">
        424927.795
      </sumStat>
      <sumStat type="stdev">
        296470.277
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V86" name="Wgt_Combined" wgt="wgt" files="F4" dcml="2" intrvl="contin">
      <location StartPos="96" EndPos="99" width="4" RecSegNo="1"/>
      <labl>
        Multiplier Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.01" max="9.99"/>
      </valrng>
      <sumStat type="vald">
        26611
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.01
      </sumStat>
      <sumStat type="max">
        9.99
      </sumStat>
      <sumStat type="mean">
        4.824
      </sumStat>
      <sumStat type="stdev">
        2.88
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V87" name="Wgt_SubSample" wgt="wgt" files="F4" dcml="2" intrvl="discrete">
      <location StartPos="100" EndPos="103" width="4" RecSegNo="1"/>
      <labl>
        Multiplier Sub-sample
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        26611
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          26611
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V88" name="Old_HH_Type" files="F4" intrvl="discrete">
      <location StartPos="104" EndPos="104" width="1" RecSegNo="1"/>
      <labl>
        Old Household Type
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V111" name="HHID" files="F5" intrvl="discrete">
      <location StartPos="1" EndPos="16" width="16" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining sector, state region, stratum, sub round, sub sample, serial no. of village / block and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V91" name="Sector" files="F5" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        142448
      </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">
          83586
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          58862
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V92" name="State_Region" files="F5" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <qstnLit>
          State_Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        142448
      </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="V112" name="State" files="F5" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          6161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          5219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          9287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          7165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          3417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          3273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          5941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          5021
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          3796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          11433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          15241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          2201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          1775
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          2303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          7960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          8475
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          4914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          1120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          20090
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          8638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          1064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          2525
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa, Daman &amp; Diu
        </labl>
        <catStat type="freq">
          377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          3156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          156
        </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="V93" name="Stratum" files="F5" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        142448
      </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="V94" name="SubRound" files="F5" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          34921
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          34071
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          36835
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          36621
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V95" name="SubSample" files="F5" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        142448
      </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">
          71213
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          71235
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V96" name="Vill_Blk_Slno" files="F5" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <qstn>
        <qstnLit>
          Village/Bl. Srl. No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        142448
      </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="V97" name="Hhold_no" files="F5" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V98" name="B3_1_q11" files="F5" dcml="2" intrvl="contin">
      <location StartPos="35" EndPos="41" width="7" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <qstn>
        <qstnLit>
          Monthly per capita expenditure
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9636.35"/>
      </valrng>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9636.35
      </sumStat>
      <sumStat type="mean">
        170.414
      </sumStat>
      <sumStat type="stdev">
        152.372
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V99" name="MPCE_Code" files="F5" intrvl="discrete">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        MPCE Code
      </labl>
      <qstn>
        <qstnLit>
          MPCE Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V100" name="Record_Type" files="F5" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Record Type
      </labl>
      <qstn>
        <qstnLit>
          Record Type
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          08
        </catValu>
        <catStat type="freq">
          142448
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V101" name="B7_2_q1" files="F5" intrvl="discrete">
      <location StartPos="46" EndPos="48" width="3" RecSegNo="1"/>
      <labl>
        Block 7.2 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Footwear Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          leather boots, shoe
        </labl>
        <catStat type="freq">
          22994
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          leather sandals, chappals, etc.
        </labl>
        <catStat type="freq">
          32756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          other leather foot-wear
        </labl>
        <catStat type="freq">
          14136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          149
        </catValu>
        <labl>
          other footwear
        </labl>
        <catStat type="freq">
          72562
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V102" name="B7_2_q4" files="F5" dcml="0" intrvl="contin">
      <location StartPos="49" EndPos="56" width="8" RecSegNo="1"/>
      <labl>
        Cash Purchase Quantity (Pair)
      </labl>
      <qstn>
        <qstnLit>
          How many pairs of the item were purchased by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range min="0" max="80001001"/>
      </valrng>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        80001001
      </sumStat>
      <sumStat type="mean">
        3049427.394
      </sumStat>
      <sumStat type="stdev">
        2841596.235
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="B7_2_q5" files="F5" dcml="2" intrvl="contin">
      <location StartPos="57" EndPos="65" width="9" RecSegNo="1"/>
      <labl>
        Cash Purchase Value
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the purchase of the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="990000"/>
      </valrng>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        990000
      </sumStat>
      <sumStat type="mean">
        18787.163
      </sumStat>
      <sumStat type="stdev">
        108054.416
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V104" name="B7_2_q6" files="F5" dcml="0" intrvl="contin">
      <location StartPos="66" EndPos="73" width="8" RecSegNo="1"/>
      <labl>
        Quantity of Home Grown Items Consumed (Pair)
      </labl>
      <qstn>
        <qstnLit>
          How many pairs of the home grown item were consumed by the household in the last 365 days?
        </qstnLit>
        <ivuInstr><![CDATA[Consumption of any of the items in the block, made out of home-grown/produced stock i.e. out of goods produced by the household in its own farm or manufacturing establishments, during the last 30 days will be recorded here.  The quantity of an item consumed out of home=grown stock will be recorded in column (6) and its value will be shown in column (7).  The value will be imputed at the ex-farm or ex-factory price.  Home produced agricultural produce include any produce obtained from cultivation by the household or obtained in the form of rent-share of land leased out.  Produce brought from village home and consumed in urban residence will also be treated as 'home-grown stock'.]]></ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="60000000"/>
      </valrng>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        60000000
      </sumStat>
      <sumStat type="mean">
        16554.089
      </sumStat>
      <sumStat type="stdev">
        513535.735
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V105" name="B7_2_q7" files="F5" dcml="2" intrvl="contin">
      <location StartPos="74" EndPos="80" width="7" RecSegNo="1"/>
      <labl>
        Value of Home Grown Items Consumed
      </labl>
      <qstn>
        <qstnLit>
          Home grown item of how much value was consumed by the household in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9400"/>
      </valrng>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9400
      </sumStat>
      <sumStat type="mean">
        66.007
      </sumStat>
      <sumStat type="stdev">
        151.655
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V106" name="B7_2_q8" files="F5" dcml="0" intrvl="contin">
      <location StartPos="81" EndPos="86" width="6" RecSegNo="1"/>
      <labl>
        Total consumption - Quantity (Pair)
      </labl>
      <valrng>
        <range min="98" max="427926"/>
      </valrng>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        98
      </sumStat>
      <sumStat type="max">
        427926
      </sumStat>
      <sumStat type="mean">
        10240.669
      </sumStat>
      <sumStat type="stdev">
        7353.544
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V107" name="B7_2_q9" files="F5" dcml="2" intrvl="contin">
      <location StartPos="87" EndPos="95" width="9" RecSegNo="1"/>
      <labl>
        Total consumption - Value
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.36" max="900229.61"/>
      </valrng>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.36
      </sumStat>
      <sumStat type="max">
        900229.61
      </sumStat>
      <sumStat type="mean">
        417312.387
      </sumStat>
      <sumStat type="stdev">
        297699.158
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V108" name="Wgt_Combined" wgt="wgt" files="F5" dcml="2" intrvl="contin">
      <location StartPos="96" EndPos="99" width="4" RecSegNo="1"/>
      <labl>
        Multiplier Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="0.01" max="9.99"/>
      </valrng>
      <sumStat type="vald">
        142448
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.01
      </sumStat>
      <sumStat type="max">
        9.99
      </sumStat>
      <sumStat type="mean">
        4.796
      </sumStat>
      <sumStat type="stdev">
        2.891
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V109" name="Wgt_SubSample" wgt="wgt" files="F5" dcml="2" intrvl="discrete">
      <location StartPos="100" EndPos="103" width="4" RecSegNo="1"/>
      <labl>
        Multiplier Sub-sample
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        142448
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          142448
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V110" name="Old_HH_Type" files="F5" intrvl="discrete">
      <location StartPos="104" EndPos="104" width="1" RecSegNo="1"/>
      <labl>
        Old Household Type
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V348" name="HHID" files="F14" intrvl="discrete">
      <location StartPos="1" EndPos="16" width="16" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        836531
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining sector, state region, stratum, sub round, sub sample, serial no. of village / block and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V332" name="Sector" files="F14" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        836531
      </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">
          468256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          368275
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V333" name="State_Region" files="F14" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <qstnLit>
          State_Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        836531
      </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="V349" name="State" files="F14" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        836531
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          62572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          27581
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          55006
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          33812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          12720
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          13149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          20721
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          47902
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          38610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          54540
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          97886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          6988
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          6286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          1346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          20603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          30701
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          28883
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          2687
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          67966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          7333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          94401
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          69552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          8302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          1990
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          1829
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          12926
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa, Daman &amp; Diu
        </labl>
        <catStat type="freq">
          2504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          5422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          1913
        </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="V334" name="Stratum" files="F14" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        836531
      </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="V335" name="SubRound" files="F14" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        836531
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          205436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          203450
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          216765
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          210880
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V336" name="SubSample" files="F14" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        836531
      </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">
          416959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          419572
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V337" name="Vill_Blk_Slno" files="F14" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <qstn>
        <qstnLit>
          Village/Bl. Srl. No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        836531
      </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="V338" name="Hhold_no" files="F14" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        836531
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V339" name="B3_1_q11" files="F14" dcml="2" intrvl="contin">
      <location StartPos="35" EndPos="42" width="8" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <qstn>
        <qstnLit>
          Monthly per capita expenditure
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="27588"/>
      </valrng>
      <sumStat type="vald">
        836531
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        27588
      </sumStat>
      <sumStat type="mean">
        173.518
      </sumStat>
      <sumStat type="stdev">
        183.492
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V340" name="MPCE_Code" files="F14" intrvl="discrete">
      <location StartPos="43" EndPos="44" width="2" RecSegNo="1"/>
      <labl>
        MPCE Code
      </labl>
      <qstn>
        <qstnLit>
          MPCE Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        836531
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V341" name="Record_Type" files="F14" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Record Type
      </labl>
      <qstn>
        <qstnLit>
          Record Type
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        836531
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          09
        </catValu>
        <catStat type="freq">
          836531
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V342" name="Item_Code" files="F14" intrvl="discrete">
      <location StartPos="47" EndPos="49" width="3" RecSegNo="1"/>
      <labl>
        Block 8 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 8 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        836531
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Cinema, theatre
        </labl>
        <catStat type="freq">
          32847
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Mela, fair picnic
        </labl>
        <catStat type="freq">
          2560
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Sports good, toys, etc.
        </labl>
        <catStat type="freq">
          1729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Goods for recreation and hobbies
        </labl>
        <catStat type="freq">
          440
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          205
        </catValu>
        <labl>
          News papers, periodicals
        </labl>
        <catStat type="freq">
          10996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          206
        </catValu>
        <labl>
          Library charges
        </labl>
        <catStat type="freq">
          957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          207
        </catValu>
        <labl>
          expenses on photography
        </labl>
        <catStat type="freq">
          1241
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          209
        </catValu>
        <labl>
          Other amusement
        </labl>
        <catStat type="freq">
          2090
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          medical s.t.
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          allopathic medicine
        </labl>
        <catStat type="freq">
          55001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          homeopathic medicine
        </labl>
        <catStat type="freq">
          1951
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          ayurvedic medicine
        </labl>
        <catStat type="freq">
          1243
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          unani medicine
        </labl>
        <catStat type="freq">
          292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          doctor, nurse, midwife &amp; hospital charges
        </labl>
        <catStat type="freq">
          9716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          family planning appliances
        </labl>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          219
        </catValu>
        <labl>
          other medical expenses
        </labl>
        <catStat type="freq">
          1788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          goods for personal care &amp; effect s.t.
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          shaving blades
        </labl>
        <catStat type="freq">
          23659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          other non-electrical shaving requisites
        </labl>
        <catStat type="freq">
          888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          torch light &amp; batteries
        </labl>
        <catStat type="freq">
          5262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          fountain pen
        </labl>
        <catStat type="freq">
          2548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          lock
        </labl>
        <catStat type="freq">
          742
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          walking stick, etc.
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          227
        </catValu>
        <labl>
          lighter
        </labl>
        <catStat type="freq">
          119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          228
        </catValu>
        <labl>
          sunglasses
        </labl>
        <catStat type="freq">
          135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          229
        </catValu>
        <labl>
          other goods for personal care and effect
        </labl>
        <catStat type="freq">
          3330
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          toilet articles s.t.
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Toilet soap
        </labl>
        <catStat type="freq">
          76575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Tooth paste, tooth powder, tooth brush
        </labl>
        <catStat type="freq">
          38525
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          powder, snow, cream, flower
        </labl>
        <catStat type="freq">
          10599
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          hair oil, lotion, shampoo, hair cream
        </labl>
        <catStat type="freq">
          81857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          comb
        </labl>
        <catStat type="freq">
          2121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          other toilet articles
        </labl>
        <catStat type="freq">
          17510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          electric bulbs, tube lights
        </labl>
        <catStat type="freq">
          4439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          electric batteries
        </labl>
        <catStat type="freq">
          695
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          other non-durables electric goods
        </labl>
        <catStat type="freq">
          229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          earthen ware
        </labl>
        <catStat type="freq">
          6103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          glass wars
        </labl>
        <catStat type="freq">
          1341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          plastic goods
        </labl>
        <catStat type="freq">
          978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          247
        </catValu>
        <labl>
          coir, rope, etc.
        </labl>
        <catStat type="freq">
          1109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          washing soap
        </labl>
        <catStat type="freq">
          99661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          sundry articles s.t.
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          washing soda
        </labl>
        <catStat type="freq">
          28882
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          other washing requisites
        </labl>
        <catStat type="freq">
          17205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          other petty articles
        </labl>
        <catStat type="freq">
          12369
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          260
        </catValu>
        <labl>
          consumer services s.t.
        </labl>
        <catStat type="freq">
          211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          barber, beautician etc.
        </labl>
        <catStat type="freq">
          68938
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          washerman, laundry
        </labl>
        <catStat type="freq">
          18398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          domestic servant, cook
        </labl>
        <catStat type="freq">
          2778
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          sweeper
        </labl>
        <catStat type="freq">
          6094
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          priest
        </labl>
        <catStat type="freq">
          3984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          postage, telephone, telegram
        </labl>
        <catStat type="freq">
          16153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          repair charges
        </labl>
        <catStat type="freq">
          2555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          other consumer services
        </labl>
        <catStat type="freq">
          53063
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          railway fare
        </labl>
        <catStat type="freq">
          6491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          bus, taxi fare
        </labl>
        <catStat type="freq">
          57058
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          bullock cart fare
        </labl>
        <catStat type="freq">
          485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          porter charges
        </labl>
        <catStat type="freq">
          659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          airways fare
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          steamer, boat fare
        </labl>
        <catStat type="freq">
          491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          277
        </catValu>
        <labl>
          rickshaw (hand driven and cycle) fare
        </labl>
        <catStat type="freq">
          5637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          278
        </catValu>
        <labl>
          horse cart fare
        </labl>
        <catStat type="freq">
          890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          280
        </catValu>
        <labl>
          conveyance s.t.
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          hand operated cart fare
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          imputed value of owned conveyance
        </labl>
        <catStat type="freq">
          1919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          other hired conveyance
        </labl>
        <catStat type="freq">
          407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          290
        </catValu>
        <labl>
          miscellaneous goods &amp; services total
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          pet animals and others
        </labl>
        <catStat type="freq">
          4083
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          house rent, garage rent
        </labl>
        <catStat type="freq">
          15801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          residential land rent
        </labl>
        <catStat type="freq">
          1530
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          consumer rent (other goods)
        </labl>
        <catStat type="freq">
          878
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          consumer taxes and cesses
        </labl>
        <catStat type="freq">
          4539
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          399
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          3210
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V343" name="B8_q3" files="F14" dcml="2" intrvl="contin">
      <location StartPos="50" EndPos="56" width="7" RecSegNo="1"/>
      <labl>
        Value in cash
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on the purchase of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9000"/>
      </valrng>
      <sumStat type="vald">
        836530
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9000
      </sumStat>
      <sumStat type="mean">
        13.18
      </sumStat>
      <sumStat type="stdev">
        47.68
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V344" name="B8_q4" files="F14" dcml="2" intrvl="contin">
      <location StartPos="57" EndPos="63" width="7" RecSegNo="1"/>
      <labl>
        Value in cash and kind
      </labl>
      <qstn>
        <qstnLit>
          How much was spent by the household in cash &amp; kind on the purchase of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9000"/>
      </valrng>
      <sumStat type="vald">
        836530
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9000
      </sumStat>
      <sumStat type="mean">
        13.476
      </sumStat>
      <sumStat type="stdev">
        51.614
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V345" name="Wgt_Combined" wgt="wgt" files="F14" dcml="2" intrvl="contin">
      <location StartPos="64" EndPos="71" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="9.85" max="42792.68"/>
      </valrng>
      <sumStat type="vald">
        836531
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        9.85
      </sumStat>
      <sumStat type="max">
        42792.68
      </sumStat>
      <sumStat type="mean">
        1082.462
      </sumStat>
      <sumStat type="stdev">
        758.72
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V346" name="Wgt_SubSample" wgt="wgt" files="F14" dcml="2" intrvl="contin">
      <location StartPos="72" EndPos="79" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="19.04" max="85585.36"/>
      </valrng>
      <sumStat type="vald">
        836531
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        19.04
      </sumStat>
      <sumStat type="max">
        85585.36
      </sumStat>
      <sumStat type="mean">
        2162.52
      </sumStat>
      <sumStat type="stdev">
        1531.255
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V347" name="Old_HH_Type" files="F14" intrvl="discrete">
      <location StartPos="80" EndPos="80" width="1" RecSegNo="1"/>
      <labl>
        Old Household Type
      </labl>
      <sumStat type="vald">
        836531
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V150" name="HHID" files="F7" intrvl="discrete">
      <location StartPos="1" EndPos="16" width="16" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining sector, state region, stratum, sub round, sub sample, serial no. of village / block and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V131" name="Sector" files="F7" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        54043
      </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">
          29500
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          24543
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V132" name="State_Region" files="F7" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <qstnLit>
          State_Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        54043
      </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="V151" name="State" files="F7" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          2575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          1429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          2861
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          1146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          1794
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          1515
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          1236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          2148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          2879
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          2998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          4489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          505
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          1472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          4172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          2365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          2132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          9060
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          5217
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          386
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          1142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa, Daman &amp; Diu
        </labl>
        <catStat type="freq">
          96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          62
        </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="V133" name="Stratum" files="F7" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        54043
      </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="V134" name="SubRound" files="F7" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          13577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          11855
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          16206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          12405
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V135" name="SubSample" files="F7" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        54043
      </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">
          26991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          27052
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V136" name="Vill_Blk_Slno" files="F7" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <qstn>
        <qstnLit>
          Village/Bl. Srl. No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        54043
      </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="V137" name="Hhold_no" files="F7" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V138" name="B3_1_q11" files="F7" dcml="2" intrvl="contin">
      <location StartPos="35" EndPos="41" width="7" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <qstn>
        <qstnLit>
          Monthly per capita expenditure
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="6365.19"/>
      </valrng>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6365.19
      </sumStat>
      <sumStat type="mean">
        195.222
      </sumStat>
      <sumStat type="stdev">
        181.611
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V139" name="MPCE_Code" files="F7" intrvl="discrete">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        MPCE Code
      </labl>
      <qstn>
        <qstnLit>
          MPCE Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V140" name="Record_Type" files="F7" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Record Type
      </labl>
      <qstn>
        <qstnLit>
          Record Type
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          54043
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V141" name="B9_1_q1" files="F7" intrvl="discrete">
      <location StartPos="46" EndPos="48" width="3" RecSegNo="1"/>
      <labl>
        Block 9.1 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 9.1 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          bedstead
        </labl>
        <catStat type="freq">
          414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          almirah
        </labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          dressing table
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          stool, bench
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          chair
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          coach. sofa
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          table, desk
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          suitcase, trunk, box, handbag and other travel goods
        </labl>
        <catStat type="freq">
          256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          foam, ruhber cushion(dunlo pillow type)
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          carpet and other floor matting
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          paintings, drawings, engravings etc.
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          other furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          harmonium
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          piano
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          gramophone &amp; record player
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          radio
        </labl>
        <catStat type="freq">
          205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          radiogram
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          television
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          camera &amp; other photographic equipment
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          tape recorder
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          record
        </labl>
        <catStat type="freq">
          38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          other musical instruments
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          other goods for recreation, entertainment and hobbies
        </labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          gold ornaments
        </labl>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          silver ornaments
        </labl>
        <catStat type="freq">
          153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          jewels, pearls
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          other ornaments
        </labl>
        <catStat type="freq">
          133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          stainless steel utensils
        </labl>
        <catStat type="freq">
          2050
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          bell metal utensils
        </labl>
        <catStat type="freq">
          303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          copper utensils
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          aluminium utensils
        </labl>
        <catStat type="freq">
          1949
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          iron utensils
        </labl>
        <catStat type="freq">
          382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          brass utensils
        </labl>
        <catStat type="freq">
          612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          enamel utensils
        </labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          crockery
        </labl>
        <catStat type="freq">
          522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          other household utensils
        </labl>
        <catStat type="freq">
          354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          electric fan
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          lantern, lamp
        </labl>
        <catStat type="freq">
          189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          electric iron, heater, toaster, other electrical heating appliances
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          stove (pressure type/wick type)
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          pressure cooker
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          sewing machine
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          washing machine
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          refrigerator
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          air conditioner, air cooler
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          other cooking &amp; household appliances
        </labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          bicycle
        </labl>
        <catStat type="freq">
          276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          motor cycle, scooter
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          motor car
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          tyres &amp; tubes
        </labl>
        <catStat type="freq">
          442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          perambulator
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          489
        </catValu>
        <labl>
          other transport equipment
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          hearing aids
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          glass eyes artificial limbs, orthopaedic braces &amp; supports
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          surgical belts, trusses &amp; supports
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          thermometer
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          other therapeutic appliances &amp; equipment
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          spectacles
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          clock, watch
        </labl>
        <catStat type="freq">
          237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          umbrella, raincoat
        </labl>
        <catStat type="freq">
          427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          typewriter
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          electric hair drier &amp; shaver
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          509
        </catValu>
        <labl>
          any other personal goods
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          residential building and land (cost of repairs only)
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          other durables (specify)
        </labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          books, journals
        </labl>
        <catStat type="freq">
          8459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          tuition fees (school/college)
        </labl>
        <catStat type="freq">
          10231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          private tutor
        </labl>
        <catStat type="freq">
          2726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          stationary
        </labl>
        <catStat type="freq">
          13399
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          other education expenses
        </labl>
        <catStat type="freq">
          7656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          club fee
        </labl>
        <catStat type="freq">
          513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          599
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          187
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V142" name="B9_1_q3" files="F7" dcml="0" intrvl="contin">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        Number
      </labl>
      <qstn>
        <qstnLit>
          How many items are in use on the date of survey?
        </qstnLit>
        <ivuInstr>
          The number in use on the date of survey of each item of durable goods will be entered in this column. It will also include those items which may not be in use temporarily but are likely to be put into use after repair/necessary servicing.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="97"/>
      </valrng>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        97
      </sumStat>
      <sumStat type="mean">
        1.988
      </sumStat>
      <sumStat type="stdev">
        4.346
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V143" name="B9_1_q4" files="F7" dcml="2" intrvl="contin">
      <location StartPos="51" EndPos="57" width="7" RecSegNo="1"/>
      <labl>
        Value of First-hand purchase - in cash
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on first hand purchase of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9300"/>
      </valrng>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9300
      </sumStat>
      <sumStat type="mean">
        44.954
      </sumStat>
      <sumStat type="stdev">
        189.828
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V144" name="B9_1_q5" files="F7" dcml="2" intrvl="contin">
      <location StartPos="58" EndPos="64" width="7" RecSegNo="1"/>
      <labl>
        Value of First-hand purchase - in cash &amp; kind
      </labl>
      <qstn>
        <qstnLit>
          How much was spent by the household in cash and kind on first hand purchase of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9300"/>
      </valrng>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9300
      </sumStat>
      <sumStat type="mean">
        46.165
      </sumStat>
      <sumStat type="stdev">
        198.431
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V145" name="B9_1_q6" files="F7" dcml="2" intrvl="contin">
      <location StartPos="65" EndPos="71" width="7" RecSegNo="1"/>
      <labl>
        Value of Second-hand purchase - in cash
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on second hand purchase of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8700"/>
      </valrng>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8700
      </sumStat>
      <sumStat type="mean">
        4.108
      </sumStat>
      <sumStat type="stdev">
        140.058
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V146" name="B9_1_q7" files="F7" dcml="2" intrvl="contin">
      <location StartPos="72" EndPos="78" width="7" RecSegNo="1"/>
      <labl>
        Value of Second-hand purchase - in cash &amp; kind
      </labl>
      <qstn>
        <qstnLit>
          How much was spent by the household in cash and kind on second hand purchase of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8700"/>
      </valrng>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8700
      </sumStat>
      <sumStat type="mean">
        1.438
      </sumStat>
      <sumStat type="stdev">
        69.752
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V147" name="Wgt_Combined" wgt="wgt" files="F7" dcml="2" intrvl="contin">
      <location StartPos="79" EndPos="86" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="11.55" max="13946.13"/>
      </valrng>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        11.55
      </sumStat>
      <sumStat type="max">
        13946.13
      </sumStat>
      <sumStat type="mean">
        1024.91
      </sumStat>
      <sumStat type="stdev">
        698.999
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V148" name="Wgt_SubSample" wgt="wgt" files="F7" dcml="2" intrvl="contin">
      <location StartPos="87" EndPos="94" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="23.1" max="27892.26"/>
      </valrng>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        23.1
      </sumStat>
      <sumStat type="max">
        27892.26
      </sumStat>
      <sumStat type="mean">
        2047.292
      </sumStat>
      <sumStat type="stdev">
        1431.813
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V149" name="Old_HH_Type" files="F7" intrvl="discrete">
      <location StartPos="95" EndPos="95" width="1" RecSegNo="1"/>
      <labl>
        Old Household Type
      </labl>
      <sumStat type="vald">
        54043
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          12380
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          4392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          15594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          20106
        </catStat>
      </catgry>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V171" name="HHID" files="F8" intrvl="discrete">
      <location StartPos="1" EndPos="16" width="16" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining sector, state region, stratum, sub round, sub sample, serial no. of village / block and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V152" name="Sector" files="F8" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        319833
      </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">
          196189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          123644
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V153" name="State_Region" files="F8" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <qstnLit>
          State_Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        319833
      </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="V172" name="State" files="F8" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          18776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          13809
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          19821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          11432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          6946
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          5750
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          11226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          15640
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          16251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          19961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          32123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          3035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          3761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          8373
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          14359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          14780
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          1291
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          19124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          2772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          42357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          24248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          2488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          889
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          837
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          3977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa, Daman &amp; Diu
        </labl>
        <catStat type="freq">
          908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          3853
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          563
        </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="V154" name="Stratum" files="F8" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        319833
      </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="V155" name="SubRound" files="F8" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          76739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          77267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          84744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          81083
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V156" name="SubSample" files="F8" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        319833
      </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">
          159894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          159939
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V157" name="Vill_Blk_Slno" files="F8" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <qstn>
        <qstnLit>
          Village/Bl. Srl. No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        319833
      </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="V158" name="Hhold_no" files="F8" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V159" name="B3_1_q11" files="F8" dcml="2" intrvl="contin">
      <location StartPos="35" EndPos="42" width="8" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <qstn>
        <qstnLit>
          Monthly per capita expenditure
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="27588"/>
      </valrng>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        27588
      </sumStat>
      <sumStat type="mean">
        164.302
      </sumStat>
      <sumStat type="stdev">
        158.027
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V160" name="MPCE_Code" files="F8" intrvl="discrete">
      <location StartPos="43" EndPos="44" width="2" RecSegNo="1"/>
      <labl>
        MPCE Code
      </labl>
      <qstn>
        <qstnLit>
          MPCE Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V161" name="Record_Type" files="F8" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Record Type
      </labl>
      <qstn>
        <qstnLit>
          Record Type
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          319833
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V162" name="B9_1_q8" files="F8" intrvl="discrete">
      <location StartPos="47" EndPos="49" width="3" RecSegNo="1"/>
      <labl>
        Block 9.1 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 9.1 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          bedstead
        </labl>
        <catStat type="freq">
          2642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          almirah
        </labl>
        <catStat type="freq">
          485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          dressing table
        </labl>
        <catStat type="freq">
          127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          stool, bench
        </labl>
        <catStat type="freq">
          432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          chair
        </labl>
        <catStat type="freq">
          1359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          coach. sofa
        </labl>
        <catStat type="freq">
          183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          table, desk
        </labl>
        <catStat type="freq">
          702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          suitcase, trunk, box, handbag and other travel goods
        </labl>
        <catStat type="freq">
          1592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          foam, ruhber cushion(dunlo pillow type)
        </labl>
        <catStat type="freq">
          91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          carpet and other floor matting
        </labl>
        <catStat type="freq">
          613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          paintings, drawings, engravings etc.
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          other furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          1078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          harmonium
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          piano
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          gramophone &amp; record player
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          radio
        </labl>
        <catStat type="freq">
          1381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          radiogram
        </labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          television
        </labl>
        <catStat type="freq">
          308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          camera &amp; other photographic equipment
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          tape recorder
        </labl>
        <catStat type="freq">
          374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          record
        </labl>
        <catStat type="freq">
          171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          other musical instruments
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          other goods for recreation, entertainment and hobbies
        </labl>
        <catStat type="freq">
          178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          gold ornaments
        </labl>
        <catStat type="freq">
          1228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          silver ornaments
        </labl>
        <catStat type="freq">
          1000
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          jewels, pearls
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          other ornaments
        </labl>
        <catStat type="freq">
          743
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          stainless steel utensils
        </labl>
        <catStat type="freq">
          13975
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          bell metal utensils
        </labl>
        <catStat type="freq">
          2208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          copper utensils
        </labl>
        <catStat type="freq">
          862
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          aluminium utensils
        </labl>
        <catStat type="freq">
          15750
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          iron utensils
        </labl>
        <catStat type="freq">
          3180
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          brass utensils
        </labl>
        <catStat type="freq">
          4878
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          enamel utensils
        </labl>
        <catStat type="freq">
          644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          crockery
        </labl>
        <catStat type="freq">
          7336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          other household utensils
        </labl>
        <catStat type="freq">
          3632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          electric fan
        </labl>
        <catStat type="freq">
          899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          lantern, lamp
        </labl>
        <catStat type="freq">
          2036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          electric iron, heater, toaster, other electrical heating appliances
        </labl>
        <catStat type="freq">
          217
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          stove (pressure type/wick type)
        </labl>
        <catStat type="freq">
          649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          pressure cooker
        </labl>
        <catStat type="freq">
          373
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          sewing machine
        </labl>
        <catStat type="freq">
          263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          washing machine
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          refrigerator
        </labl>
        <catStat type="freq">
          101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          air conditioner, air cooler
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          other cooking &amp; household appliances
        </labl>
        <catStat type="freq">
          791
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          bicycle
        </labl>
        <catStat type="freq">
          1949
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          motor cycle, scooter
        </labl>
        <catStat type="freq">
          169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          motor car
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          tyres &amp; tubes
        </labl>
        <catStat type="freq">
          3908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          perambulator
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          489
        </catValu>
        <labl>
          other transport equipment
        </labl>
        <catStat type="freq">
          244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          hearing aids
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          glass eyes artificial limbs, orthopaedic braces &amp; supports
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          surgical belts, trusses &amp; supports
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          thermometer
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          other therapeutic appliances &amp; equipment
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          spectacles
        </labl>
        <catStat type="freq">
          634
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          clock, watch
        </labl>
        <catStat type="freq">
          2026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          umbrella, raincoat
        </labl>
        <catStat type="freq">
          4453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          typewriter
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          electric hair drier &amp; shaver
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          509
        </catValu>
        <labl>
          any other personal goods
        </labl>
        <catStat type="freq">
          445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          residential building and land (cost of repairs only)
        </labl>
        <catStat type="freq">
          620
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          other durables (specify)
        </labl>
        <catStat type="freq">
          390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          books, journals
        </labl>
        <catStat type="freq">
          45689
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          tuition fees (school/college)
        </labl>
        <catStat type="freq">
          18459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          private tutor
        </labl>
        <catStat type="freq">
          4482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          stationary
        </labl>
        <catStat type="freq">
          41751
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          other education expenses
        </labl>
        <catStat type="freq">
          23490
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          club fee
        </labl>
        <catStat type="freq">
          1125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          medical
        </labl>
        <catStat type="freq">
          95792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          599
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          1038
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V163" name="B9_1_q10" files="F8" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        Number
      </labl>
      <qstn>
        <qstnLit>
          How many items are in use on the date of survey?
        </qstnLit>
        <ivuInstr>
          The number in use on the date of survey of each item of durable goods will be entered in this column. It will also include those items which may not be in use temporarily but are likely to be put into use after repair/necessary servicing.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        2.993
      </sumStat>
      <sumStat type="stdev">
        6.902
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V164" name="B9_1_q11" files="F8" dcml="2" intrvl="contin">
      <location StartPos="52" EndPos="58" width="7" RecSegNo="1"/>
      <labl>
        Value of First-hand purchase - in cash
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on first hand purchase of the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9900"/>
      </valrng>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9900
      </sumStat>
      <sumStat type="mean">
        147.483
      </sumStat>
      <sumStat type="stdev">
        361.74
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V165" name="B9_1_q12" files="F8" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="65" width="7" RecSegNo="1"/>
      <labl>
        Value of First-hand purchase - in cash &amp; kind
      </labl>
      <qstn>
        <qstnLit>
          How much was spent by the household in cash and kind on first hand purchase of the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9900"/>
      </valrng>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9900
      </sumStat>
      <sumStat type="mean">
        148.703
      </sumStat>
      <sumStat type="stdev">
        365.99
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V166" name="B9_1_q13" files="F8" dcml="2" intrvl="contin">
      <location StartPos="66" EndPos="72" width="7" RecSegNo="1"/>
      <labl>
        Value of Second-hand purchase - in cash
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household on second hand purchase of the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8700"/>
      </valrng>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8700
      </sumStat>
      <sumStat type="mean">
        4.128
      </sumStat>
      <sumStat type="stdev">
        134.391
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V167" name="B9_1_q14" files="F8" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="79" width="7" RecSegNo="1"/>
      <labl>
        Value of Second-hand purchase - in cash &amp; kind
      </labl>
      <qstn>
        <qstnLit>
          How much was spent by the household in cash and kind on second hand purchase of the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="8900.04"/>
      </valrng>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8900.04
      </sumStat>
      <sumStat type="mean">
        2.418
      </sumStat>
      <sumStat type="stdev">
        86.521
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V168" name="Wgt_Combined" wgt="wgt" files="F8" dcml="2" intrvl="contin">
      <location StartPos="80" EndPos="87" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="9.85" max="42792.68"/>
      </valrng>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        9.85
      </sumStat>
      <sumStat type="max">
        42792.68
      </sumStat>
      <sumStat type="mean">
        1069.444
      </sumStat>
      <sumStat type="stdev">
        751.561
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V169" name="Wgt_SubSample" wgt="wgt" files="F8" dcml="2" intrvl="contin">
      <location StartPos="88" EndPos="95" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="19.04" max="85585.36"/>
      </valrng>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        19.04
      </sumStat>
      <sumStat type="max">
        85585.36
      </sumStat>
      <sumStat type="mean">
        2137.159
      </sumStat>
      <sumStat type="stdev">
        1521.696
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V170" name="Old_HH_Type" files="F8" intrvl="discrete">
      <location StartPos="96" EndPos="96" width="1" RecSegNo="1"/>
      <labl>
        Old Household Type
      </labl>
      <sumStat type="vald">
        319833
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          67231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          40298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          12070
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          96284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          103950
        </catStat>
      </catgry>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V367" name="HHID" files="F15" intrvl="discrete">
      <location StartPos="1" EndPos="16" width="16" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining sector, state region, stratum, sub round, sub sample, serial no. of village / block and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V350" name="Sector" files="F15" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        14311
      </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">
          9313
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          4998
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V351" name="State_Region" files="F15" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <qstnLit>
          State_Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        14311
      </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="V368" name="State" files="F15" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          1097
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          250
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          988
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          1200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          487
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          1009
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          995
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          2342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa, Daman &amp; Diu
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          29
        </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="V352" name="Stratum" files="F15" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        14311
      </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="V353" name="SubRound" files="F15" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          3645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          3556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          3377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          3733
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V354" name="SubSample" files="F15" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        14311
      </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">
          6923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          7388
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V355" name="Vill_Blk_Slno" files="F15" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <qstn>
        <qstnLit>
          Village/Bl. Srl. No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        14311
      </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="V356" name="Hhold_no" files="F15" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V357" name="B3_1_q11" files="F15" dcml="2" intrvl="contin">
      <location StartPos="35" EndPos="41" width="7" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <qstn>
        <qstnLit>
          Monthly per capita expenditure
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="6365.19"/>
      </valrng>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6365.19
      </sumStat>
      <sumStat type="mean">
        214.367
      </sumStat>
      <sumStat type="stdev">
        210.865
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V358" name="MPCE_Code" files="F15" intrvl="discrete">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        MPCE Code
      </labl>
      <qstn>
        <qstnLit>
          MPCE Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V359" name="Record_Type" files="F15" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Record Type
      </labl>
      <qstn>
        <qstnLit>
          Record Type
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          14311
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V360" name="B9_2_q1" files="F15" intrvl="discrete">
      <location StartPos="46" EndPos="48" width="3" RecSegNo="1"/>
      <labl>
        Block 9.2 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 9.2 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          bedstead
        </labl>
        <catStat type="freq">
          194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          almirah
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          dressing table
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          stool, bench
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          chair
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          coach. sofa
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          table, desk
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          suitcase, trunk, box, handbag and other travel goods
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          foam, ruhber cushion(dunlo pillow type)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          carpet and other floor matting
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          paintings, drawings, engravings etc.
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          other furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          harmonium
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          piano
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          gramophone &amp; record player
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          radio
        </labl>
        <catStat type="freq">
          159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          radiogram
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          television
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          camera &amp; other photographic equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          tape recorder
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          record
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          other musical instruments
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          other goods for recreation, entertainment and hobbies
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          gold ornaments
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          silver ornaments
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          jewels, pearls
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          other ornaments
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          stainless steel utensils
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          bell metal utensils
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          copper utensils
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          aluminium utensils
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          iron utensils
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          brass utensils
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          enamel utensils
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          crockery
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          other household utensils
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          electric fan
        </labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          lantern, lamp
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          electric iron, heater, toaster, other electrical heating appliances
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          stove (pressure type/wick type)
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          pressure cooker
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          sewing machine
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          washing machine
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          refrigerator
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          air conditioner, air cooler
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          other cooking &amp; household appliances
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          bicycle
        </labl>
        <catStat type="freq">
          2772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          motor cycle, scooter
        </labl>
        <catStat type="freq">
          147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          motor car
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          tyres &amp; tubes
        </labl>
        <catStat type="freq">
          125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          perambulator
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          489
        </catValu>
        <labl>
          other transport equipment
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          hearing aids
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          glass eyes artificial limbs, orthopaedic braces &amp; supports
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          surgical belts, trusses &amp; supports
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          thermometer
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          other therapeutic appliances &amp; equipment
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          durable goods total
        </labl>
        <catStat type="freq">
          8121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          spectacles
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          clock, watch
        </labl>
        <catStat type="freq">
          265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          umbrella, raincoat
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          typewriter
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          electric hair drier &amp; shaver
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          509
        </catValu>
        <labl>
          any other personal goods
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          residential building and land (cost of repairs only)
        </labl>
        <catStat type="freq">
          1305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          other durables (specify)
        </labl>
        <catStat type="freq">
          154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          books, journals
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          tuition fees (school/college)
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          private tutor
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          stationary
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          other education expenses
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          club fee
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          medical
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          599
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V361" name="B9_2_q3" files="F15" dcml="0" intrvl="contin">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        Number
      </labl>
      <qstn>
        <qstnLit>
          How many items are in use on the date of survey?
        </qstnLit>
        <ivuInstr>
          The number in use on the date of survey of each item of durable goods will be entered in this column. It will also include those items which may not be in use temporarily but are likely to be put into use after repair/necessary servicing.
        </ivuInstr>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        0.369
      </sumStat>
      <sumStat type="stdev">
        1.507
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V362" name="B9_2_q4" files="F15" dcml="2" intrvl="contin">
      <location StartPos="51" EndPos="57" width="7" RecSegNo="1"/>
      <labl>
        Value in cash
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household for construction &amp; repair of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9300"/>
      </valrng>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9300
      </sumStat>
      <sumStat type="mean">
        121.143
      </sumStat>
      <sumStat type="stdev">
        448.477
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V363" name="B9_2_q5" files="F15" dcml="2" intrvl="contin">
      <location StartPos="58" EndPos="64" width="7" RecSegNo="1"/>
      <labl>
        Value in cash and kind
      </labl>
      <qstn>
        <qstnLit>
          How much was spent by the household in cash &amp; kind for construction &amp; repair of the item in the last 30 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9300"/>
      </valrng>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9300
      </sumStat>
      <sumStat type="mean">
        122.019
      </sumStat>
      <sumStat type="stdev">
        448.826
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V364" name="Wgt_Combined" wgt="wgt" files="F15" dcml="2" intrvl="contin">
      <location StartPos="65" EndPos="72" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="13.13" max="10978.56"/>
      </valrng>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        13.13
      </sumStat>
      <sumStat type="max">
        10978.56
      </sumStat>
      <sumStat type="mean">
        1144.305
      </sumStat>
      <sumStat type="stdev">
        730.374
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V365" name="Wgt_SubSample" wgt="wgt" files="F15" dcml="2" intrvl="contin">
      <location StartPos="73" EndPos="80" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="25.39" max="23733.69"/>
      </valrng>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        25.39
      </sumStat>
      <sumStat type="max">
        23733.69
      </sumStat>
      <sumStat type="mean">
        2286.227
      </sumStat>
      <sumStat type="stdev">
        1487.254
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V366" name="Old_HH_Type" files="F15" intrvl="discrete">
      <location StartPos="81" EndPos="81" width="1" RecSegNo="1"/>
      <labl>
        Old Household Type
      </labl>
      <sumStat type="vald">
        14311
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V249" name="HHID" files="F11" intrvl="discrete">
      <location StartPos="1" EndPos="16" width="16" RecSegNo="1"/>
      <labl>
        Key to identify a household
      </labl>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <codInstr><![CDATA[This variable has been derived for identifying  a  household by combining sector, state region, stratum, sub round, sub sample, serial no. of village / block and sample household number.]]></codInstr>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V232" name="Sector" files="F11" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Sector
      </labl>
      <qstn>
        <qstnLit>
          Sector
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88525
      </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">
          59512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          29013
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V233" name="State_Region" files="F11" intrvl="discrete">
      <location StartPos="18" EndPos="20" width="3" RecSegNo="1"/>
      <labl>
        State_Region
      </labl>
      <qstn>
        <qstnLit>
          State_Region
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88525
      </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="V250" name="State" files="F11" intrvl="discrete">
      <location StartPos="21" EndPos="22" width="2" RecSegNo="1"/>
      <labl>
        State
      </labl>
      <qstn>
        <qstnLit>
          State
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          02
        </catValu>
        <labl><![CDATA[Andhra Pradesh                 ]]></labl>
        <catStat type="freq">
          4839
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          03
        </catValu>
        <labl><![CDATA[Assam                    ]]></labl>
        <catStat type="freq">
          5131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          04
        </catValu>
        <labl>
          Bihar
        </labl>
        <catStat type="freq">
          4653
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          05
        </catValu>
        <labl><![CDATA[Gujarat                               ]]></labl>
        <catStat type="freq">
          2831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          06
        </catValu>
        <labl><![CDATA[Haryana                  ]]></labl>
        <catStat type="freq">
          1798
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          07
        </catValu>
        <labl><![CDATA[Himachal Pradesh                 ]]></labl>
        <catStat type="freq">
          769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          08
        </catValu>
        <labl><![CDATA[ Jammu & Kashmir         ]]></labl>
        <catStat type="freq">
          2946
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          09
        </catValu>
        <labl><![CDATA[Karnataka                ]]></labl>
        <catStat type="freq">
          4928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl><![CDATA[Kerala                   ]]></labl>
        <catStat type="freq">
          3875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl><![CDATA[Madhya Pradesh                ]]></labl>
        <catStat type="freq">
          7147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl><![CDATA[Maharashtra              ]]></labl>
        <catStat type="freq">
          6899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl><![CDATA[Manipur                  ]]></labl>
        <catStat type="freq">
          786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl><![CDATA[Meghalaya                ]]></labl>
        <catStat type="freq">
          1033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl><![CDATA[Nagaland                 ]]></labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl><![CDATA[Orissa                   ]]></labl>
        <catStat type="freq">
          3847
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl><![CDATA[Punjab                   ]]></labl>
        <catStat type="freq">
          4123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl><![CDATA[Rajasthan                ]]></labl>
        <catStat type="freq">
          3592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl><![CDATA[Sikkim                   ]]></labl>
        <catStat type="freq">
          272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl><![CDATA[Tamil Nadu               ]]></labl>
        <catStat type="freq">
          6315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl><![CDATA[Tripura                  ]]></labl>
        <catStat type="freq">
          593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl><![CDATA[Uttar Pradesh            ]]></labl>
        <catStat type="freq">
          12744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl><![CDATA[West Bengal              ]]></labl>
        <catStat type="freq">
          5570
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl><![CDATA[A & N Islands            ]]></labl>
        <catStat type="freq">
          698
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl><![CDATA[Arunachal Pradesh          ]]></labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl><![CDATA[Chandigarh               ]]></labl>
        <catStat type="freq">
          340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl><![CDATA[Dadra & Nagar Haveli        ]]></labl>
        <catStat type="freq">
          483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl><![CDATA[Delhi                    ]]></labl>
        <catStat type="freq">
          1304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Goa, Daman &amp; Diu
        </labl>
        <catStat type="freq">
          217
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl><![CDATA[Lakshdweep               ]]></labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl><![CDATA[Mizoram                  ]]></labl>
        <catStat type="freq">
          569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl><![CDATA[Pondicherry              ]]></labl>
        <catStat type="freq">
          166
        </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="V234" name="Stratum" files="F11" intrvl="discrete">
      <location StartPos="23" EndPos="25" width="3" RecSegNo="1"/>
      <labl>
        Stratum
      </labl>
      <qstn>
        <qstnLit>
          Stratum
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88525
      </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="V235" name="SubRound" files="F11" intrvl="discrete">
      <location StartPos="26" EndPos="26" width="1" RecSegNo="1"/>
      <labl>
        Sub Round
      </labl>
      <qstn>
        <qstnLit>
          Sub Round
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt><![CDATA[The survey period of one year of this round  was divided  into  four sub-rounds of three months duration. Equal number of sample villages and blocks were  allotted for survey in each of these four sub-rounds.]]></txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Sub round 1
        </labl>
        <catStat type="freq">
          20420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Sub round 2
        </labl>
        <catStat type="freq">
          21218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Sub round 3
        </labl>
        <catStat type="freq">
          23762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Sub round 4
        </labl>
        <catStat type="freq">
          23125
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V236" name="SubSample" files="F11" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Sub Sample
      </labl>
      <qstn>
        <qstnLit>
          Sub Sample
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88525
      </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">
          43686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          State sample
        </labl>
        <catStat type="freq">
          44839
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V237" name="Vill_Blk_Slno" files="F11" intrvl="discrete">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Village/Bl. Srl. No.
      </labl>
      <qstn>
        <qstnLit>
          Village/Bl. Srl. No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88525
      </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="V238" name="Hhold_no" files="F11" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Sample Household No.
      </labl>
      <qstn>
        <qstnLit>
          Sample Household No.
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V239" name="B3_1_q11" files="F11" dcml="2" intrvl="contin">
      <location StartPos="35" EndPos="42" width="8" RecSegNo="1"/>
      <labl>
        Monthly per capita expenditure
      </labl>
      <qstn>
        <qstnLit>
          Monthly per capita expenditure
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="27588"/>
      </valrng>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        27588
      </sumStat>
      <sumStat type="mean">
        165.328
      </sumStat>
      <sumStat type="stdev">
        172.176
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V240" name="MPCE_Code" files="F11" intrvl="discrete">
      <location StartPos="43" EndPos="44" width="2" RecSegNo="1"/>
      <labl>
        MPCE Code
      </labl>
      <qstn>
        <qstnLit>
          MPCE Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V241" name="Record_Type" files="F11" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Record Type
      </labl>
      <qstn>
        <qstnLit>
          Record Type
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          88525
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V242" name="B9_2_q6" files="F11" intrvl="discrete">
      <location StartPos="47" EndPos="49" width="3" RecSegNo="1"/>
      <labl>
        Block 9.2 Item Code
      </labl>
      <qstn>
        <qstnLit>
          Block 9.2 Item Code
        </qstnLit>
      </qstn>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          bedstead
        </labl>
        <catStat type="freq">
          1260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          almirah
        </labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          dressing table
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          stool, bench
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          405
        </catValu>
        <labl>
          chair
        </labl>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          406
        </catValu>
        <labl>
          coach. sofa
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          407
        </catValu>
        <labl>
          table, desk
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          suitcase, trunk, box, handbag and other travel goods
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          foam, ruhber cushion(dunlo pillow type)
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          carpet and other floor matting
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          paintings, drawings, engravings etc.
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          other furniture &amp; fixtures
        </labl>
        <catStat type="freq">
          416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          harmonium
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          piano
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          423
        </catValu>
        <labl>
          gramophone &amp; record player
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          424
        </catValu>
        <labl>
          radio
        </labl>
        <catStat type="freq">
          939
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          425
        </catValu>
        <labl>
          radiogram
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          television
        </labl>
        <catStat type="freq">
          191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          427
        </catValu>
        <labl>
          camera &amp; other photographic equipment
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          tape recorder
        </labl>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          record
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          other musical instruments
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          other goods for recreation, entertainment and hobbies
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          gold ornaments
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          silver ornaments
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          443
        </catValu>
        <labl>
          jewels, pearls
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          449
        </catValu>
        <labl>
          other ornaments
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          stainless steel utensils
        </labl>
        <catStat type="freq">
          250
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          bell metal utensils
        </labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          copper utensils
        </labl>
        <catStat type="freq">
          237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          aluminium utensils
        </labl>
        <catStat type="freq">
          294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          iron utensils
        </labl>
        <catStat type="freq">
          303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          456
        </catValu>
        <labl>
          brass utensils
        </labl>
        <catStat type="freq">
          420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          457
        </catValu>
        <labl>
          enamel utensils
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          crockery
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          459
        </catValu>
        <labl>
          other household utensils
        </labl>
        <catStat type="freq">
          133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          electric fan
        </labl>
        <catStat type="freq">
          224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          lantern, lamp
        </labl>
        <catStat type="freq">
          116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          electric iron, heater, toaster, other electrical heating appliances
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          stove (pressure type/wick type)
        </labl>
        <catStat type="freq">
          1009
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          pressure cooker
        </labl>
        <catStat type="freq">
          114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          sewing machine
        </labl>
        <catStat type="freq">
          169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          467
        </catValu>
        <labl>
          washing machine
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          468
        </catValu>
        <labl>
          refrigerator
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          air conditioner, air cooler
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          other cooking &amp; household appliances
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          481
        </catValu>
        <labl>
          bicycle
        </labl>
        <catStat type="freq">
          7796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          482
        </catValu>
        <labl>
          motor cycle, scooter
        </labl>
        <catStat type="freq">
          607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          483
        </catValu>
        <labl>
          motor car
        </labl>
        <catStat type="freq">
          86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          tyres &amp; tubes
        </labl>
        <catStat type="freq">
          755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          485
        </catValu>
        <labl>
          perambulator
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          489
        </catValu>
        <labl>
          other transport equipment
        </labl>
        <catStat type="freq">
          274
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          hearing aids
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          glass eyes artificial limbs, orthopaedic braces &amp; supports
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          surgical belts, trusses &amp; supports
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          494
        </catValu>
        <labl>
          thermometer
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          other therapeutic appliances &amp; equipment
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          durable goods total
        </labl>
        <catStat type="freq">
          45797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          spectacles
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          clock, watch
        </labl>
        <catStat type="freq">
          1518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          umbrella, raincoat
        </labl>
        <catStat type="freq">
          582
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          typewriter
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          electric hair drier &amp; shaver
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          509
        </catValu>
        <labl>
          any other personal goods
        </labl>
        <catStat type="freq">
          164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          residential building and land (cost of repairs only)
        </labl>
        <catStat type="freq">
          22264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          other durables (specify)
        </labl>
        <catStat type="freq">
          970
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          books, journals
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          tuition fees (school/college)
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          private tutor
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          stationary
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          539
        </catValu>
        <labl>
          other education expenses
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          club fee
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          medical
        </labl>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          599
        </catValu>
        <labl>
          Invalid
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V243" name="B9_2_q8" files="F11" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        Number
      </labl>
      <qstn>
        <qstnLit>
          How many items are in use on the date of survey?
        </qstnLit>
        <ivuInstr>
          The number in use on the date of survey of each item of durable goods will be entered in this column. It will also include those items which may not be in use temporarily but are likely to be put into use after repair/necessary servicing.
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <sumStat type="mean">
        0.436
      </sumStat>
      <sumStat type="stdev">
        1.712
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V244" name="B9_2_q9" files="F11" dcml="2" intrvl="contin">
      <location StartPos="52" EndPos="58" width="7" RecSegNo="1"/>
      <labl>
        Value in cash
      </labl>
      <qstn>
        <qstnLit>
          How much money was spent by the household for construction &amp; repair of the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9950"/>
      </valrng>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9950
      </sumStat>
      <sumStat type="mean">
        219.416
      </sumStat>
      <sumStat type="stdev">
        642.843
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V245" name="B9_2_q10" files="F11" dcml="2" intrvl="contin">
      <location StartPos="59" EndPos="65" width="7" RecSegNo="1"/>
      <labl>
        Value in cash and kind
      </labl>
      <qstn>
        <qstnLit>
          How much was spent by the household in cash &amp; kind for construction &amp; repair of the item in the last 365 days?
        </qstnLit>
      </qstn>
      <valrng>
        <range UNITS="REAL" min="0" max="9950"/>
      </valrng>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9950
      </sumStat>
      <sumStat type="mean">
        223.975
      </sumStat>
      <sumStat type="stdev">
        650.24
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V246" name="Wgt_Combined" wgt="wgt" files="F11" dcml="2" intrvl="contin">
      <location StartPos="66" EndPos="73" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Combined
      </labl>
      <valrng>
        <range UNITS="REAL" min="9.85" max="15242.81"/>
      </valrng>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        9.85
      </sumStat>
      <sumStat type="max">
        15242.81
      </sumStat>
      <sumStat type="mean">
        1121.066
      </sumStat>
      <sumStat type="stdev">
        730.966
      </sumStat>
      <txt>
        Combined multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V247" name="Wgt_SubSample" wgt="wgt" files="F11" dcml="2" intrvl="contin">
      <location StartPos="74" EndPos="81" width="8" RecSegNo="1"/>
      <labl>
        Multiplier Sub-sample
      </labl>
      <valrng>
        <range UNITS="REAL" min="19.04" max="30485.61"/>
      </valrng>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        19.04
      </sumStat>
      <sumStat type="max">
        30485.61
      </sumStat>
      <sumStat type="mean">
        2240.373
      </sumStat>
      <sumStat type="stdev">
        1485.774
      </sumStat>
      <txt>
        Sub-sample multiplier generated by NSSO
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V248" name="Old_HH_Type" files="F11" intrvl="discrete">
      <location StartPos="82" EndPos="82" width="1" RecSegNo="1"/>
      <labl>
        Old Household Type
      </labl>
      <sumStat type="vald">
        88525
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          17899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          13128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          3929
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          28685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          24884
        </catStat>
      </catgry>
      <codInstr>
        This round contains some variables which are not in the questionnaire. These variables have been calculated for the purpose of specific tabulation for which documentation is not available. The user may ignore them.
      </codInstr>
      <varFormat type="character" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
