NSSO_60_Schedule_1_Household Consumer ExpenditureDDI-IND-MOSPI-NSSO-60Rnd-Sch1-Jan-June2004Computer Centre
2012-11-11
Nesstar PublisherVersion 1.0 (Nov 2012)Household Consumer Expenditure, NSS 60th Round, Schedule 1, January - June 2004
NSS 60th Round
DDI-IND-MOSPI-NSSO-60Rnd-Sch1-Jan-June2004National Sample Survey Office
Governing council and Working Group
Survey Design Reearch Division
Field Operations Division
Data Processing Division
Computer Centre
Nesstar Publisher
M/o Statistics & Programme Implementation, GOIADG, SDRD , NSSO
DDG, Computer Centre
Socio-Economic/Monitoring Survey [hh/sems]
The National Sample Survey Organisation (NSSO) has been carrying out All-India surveys on consumer expenditure. While some of these smaller-scale surveys are spread over a full year and others over six months only, the quinquennial (full-scale) surveys have all been of a full year's duration. 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. Any expenditure incurred towards the productive enterprises of the households is also excluded from household consumer expenditure. To minimise recall errors, a very detailed item classification is adopted to collect information, including items of food, items of fuel, items of clothing, bedding and footwear, items of educational and medical expenses, items of durable goods and other items. The schedule has also collected some other household particulars including age, sex and educational level etc. of each household member.IndiaThe survey covered the whole of the Indian Union except (i) Leh (Ladakh) and Kargil districts of Jammu & Kashmir, (ii) interior villages of Nagaland situated beyond five kilometres of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.Randomly selected households based on sampling procedure and members of the householdThe survey used the interview method of data collection from a sample of randomly selected households and members of the household.
Sample survey data [ssd]
Household Consumer ExpenditureNSS 60th RoundScheduleJanuary - June 2004Outline of sample design: A stratified multi-stage design has been adopted for the 60th round survey. The first stage units (FSU) are the 1991 census villages in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) are households in both the sectors. In case of large villages/blocks requiring hamlet-group (hg)/sub-block (sb) formation, one intermediate stage has been the selection of two hgs/sbs from each FSU.
Sampling Frame for First Stage Units: For the rural sector, the list of Census 1991 villages (panchayat wards for Kerala) and Census 1981 villages for J & K constituted the sampling frame. For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks was considered as the sampling frame.
Stratification
Rural sector: Two special strata will be formed at the State/ UT level, viz.
Stratum 1: all FSUs with population between 0 to 50 and
Stratum 2: FSUs with population more than 15,000.
Special stratum 1 was formed if at least 50 such FSUs are found in a State/UT. Similarly, special stratum 2 was formed if at least 4 such FSUs are found in a State/UT. Otherwise, such FSUs were merged with the general strata.
Urban sector: In the urban sector, strata was formed within each NSS region on the basis of size class of towns as per Population Census 2001. The stratum numbers and their composition (within each region) are given below.
stratum 1 : all towns with population less than 50,000
stratum 2 : all towns with population 50,000 or more but less than 2 lakhs
stratum 3 : all towns with population 2 lakhs or more but less than 10 lakhs
stratum 4, 5, 6,...: each town with population 10 lakhs or more
Total sample size (FSUs): 7612 FSUs were allocated at all-India level on the basis of investigator strength in different States/UTs for central sample and 8260 for state sample.
Allocation of total sample to States and UTs: The total number of sample FSUs is allocated to the States and UTs in proportion to provisional population as per Census 2001 subject to the availability of investigators ensuring more or less uniform work-load.
Selection of FSUs: FSUs were selected with Probability Proportional to Size With Replacement (PPSWR), size being the population as per Population Census 1991 in all the strata for rural sector except for stratum 1. In stratum 1 of rural sector and in all the strata of urban sector, selection was done using Simple Random Sampling Without Replacement (SRSWOR). Within each stratum, samples were drawn in the form of two independent sub-samples in both the rural and urban sectors.
There was no deviation from the original sampling design.
Face-to-face [f2f]
Computer Centre
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 & Accounts Officer, Ministry of Statistics & Programme Implementation, payable at New Delhi.
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.
Blocks 1,2_ Identification of sample household.NSDstat
This file contains information regarding identification of sample household.
29631
31
Nesstar 200801
Block 3_Household Characteristics.NSDstat
This file contains information about household characteristics.
29631
48
Nesstar 200801
Block 4_Person records.NSDstat
This file contains information about demographic and other particulars of household members.
152669
38
Nesstar 200801
Block 5_Monthly household expenditure on cereals, pulses, milk, sugar and salt.NSDstat
This file contains information about monthly household expenditure on cereals, pulses, milk, sugar and salt.
395840
28
Nesstar 200801
910195
28
Nesstar 200801
Block 7_Monthly consumption of fuel & light.NSDstat
This file contains information about monthly consumption of fuel & light.
149188
28
Nesstar 200801
Block 8_Annual consumption of clothing.NSDstat
This file contains information about annual consumption of clothing, bedding, etc.
269037
27
Nesstar 200801
Block 9_Annual consumption of footwear.NSDstat
This file contains information about annual consumption of footwear.
88386
27
Nesstar 200801
Block 10_Annual expenditure on education and medical (institutional) goods and services.NSDstat
This file contains information about annual expenditure on education and medical (institutional) goods and services.
101674
26
Nesstar 200801
Block 11_Monthly expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes.NSDstat
This file contains information about monthly expenditure on miscellaneous goods and services including medical (non-institutional), rents and taxes.
575976
26
Nesstar 200801
Block 12_Annual expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use.NSDstat
This file contains information about annual expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use.
292692
33
Nesstar 200801
Geographical identifiers
Primary key - unique identifier for a household - FSU,Sch type, HG,SSS,HHNo
29631
0
This is a Primary key - unique identifier for a household. This variable has been derived for identifying a household by combining FSU, Schedule type, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
29631
0
LOT/FSU number
29631
0
Round
29631
0
Indicates the NSS round number of this survey.
60
29631
Schedule Number
29631
0
Indicates the schedule number of this survey.
010
29631
Schedule Type
29631
0
1
14828
2
14803
Sample
29631
0
1
29631
Sector
29631
0
Sector : A word used for the rural-urban demarcation.
1
Rural
18975
2
Urban
10656
State-Region
29631
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
29631
0
01
Jammu & Kashmir
481
02
Himachal Pradesh
581
03
Punjab
600
04
Chandigarh
167
05
Uttaranchal
224
06
Haryana
563
07
Delhi
427
08
Rajasthan
1362
09
Uttar Pradesh
3728
10
Bihar
1670
11
Sikkim
208
12
Arunachal Pradesh
423
13
Nagaland
144
14
Manipur
636
15
Mizoram
420
16
Tripura
424
17
Meghalaya
317
18
Assam
1052
19
West Bengal
2020
20
Jharkhand
801
21
Orissa
1064
22
Chhattisgarh
588
23
Madhya Pradesh
1422
24
Gujrat
1124
25
Daman & Diu
63
26
Dadra & Nagar Haveli
64
27
Maharastra
2124
28
Andhra Pardesh
2034
29
Karnataka
1348
30
Goa
80
31
Lakshadweep
64
32
Kerala
1132
33
Tamil Nadu
2056
34
Pondicheri
112
35
Andaman & Nicober
108
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
29631
0
Stratum Number
29631
0
Sub-Round
29631
0
1
Sub round 1
14802
2
Sub round 2
14829
Sub-Sample
29631
0
1
Central sample
14811
2
State sample
14820
FOD Sub-Region
29631
0
Hamlet-Group/Sub-Block no.
29631
0
Second Stage Stratum
29631
0
HHS No.
29631
0
Level
29631
0
01
29631
Sl.No. of informant
29607
0
Response Code
This item is to be filled-in after canvassing the schedule. The type of informant, considering his co-operation and capability in providing the required information, will be recorded against this item in terms of specified response codes.
29625
0
1
21793
2
informant : cooperative but not capable
6843
3
informant : busy
523
4
informant : reluctant
393
9
others
73
Survey Code
29631
0
1
original
28572
2
substitute
1059
3
casualty
0
Substitution Code
For an originally selected sample household which could not be surveyed, irrespective of whether a substituted household could be surveyed or not, the reason for not surveying the original household will be recorded against this item in code.
1059
0
If the originally selected household could not be surveyed, irrespective of whether a substituted household could be surveyed or not, the reason for the one originally selected becoming a casualty has been recorded against this item in terms of codes.
1
informant busy
42
2
members away from home
874
3
informant non-cooperative
107
9
others
36
Date of Survey
29575
0
Date of Despatch
29517
0
Time to canvass(mins.)
29565
0
NSS
29631
0
NSC
29631
0
Multiplier
29631
0
9.75
245916
13418.082
14333.368
Sub sample Multiplier
29631
0
0.0975
2459.16
134.181
143.334
Combined Multiplier
29631
0
0.0488
1229.58
67.09
71.667
NSS
Wgt_Combined = MLT/200]]>
Primary key - unique identifier for a household
29631
0
This is a Primary key - unique identifier for a household. This variable has been derived for identifying a household by combining FSU, Schedule type, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
29631
0
LOT/FSU number
29631
0
Round
29631
0
Indicates the NSS round number of this survey.
60
29631
Schedule Number
29631
0
Indicates the schedule number of this survey.
010
29631
Schedule Type
29631
0
1
14828
2
14803
Sample
29631
0
1
29631
Sector
29631
0
Sector : A word used for the rural-urban demarcation.
1
Rural
18975
2
Urban
10656
State-Region
29631
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
29631
0
01
Jammu & Kashmir
481
02
Himachal Pradesh
581
03
Punjab
600
04
Chandigarh
167
05
Uttaranchal
224
06
Haryana
563
07
Delhi
427
08
Rajasthan
1362
09
Uttar Pradesh
3728
10
Bihar
1670
11
Sikkim
208
12
Arunachal Pradesh
423
13
Nagaland
144
14
Manipur
636
15
Mizoram
420
16
Tripura
424
17
Meghalaya
317
18
Assam
1052
19
West Bengal
2020
20
Jharkhand
801
21
Orissa
1064
22
Chhattisgarh
588
23
Madhya Pradesh
1422
24
Gujrat
1124
25
Daman & Diu
63
26
Dadra & Nagar Haveli
64
27
Maharastra
2124
28
Andhra Pardesh
2034
29
Karnataka
1348
30
Goa
80
31
Lakshadweep
64
32
Kerala
1132
33
Tamil Nadu
2056
34
Pondicheri
112
35
Andaman & Nicober
108
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
29631
0
Stratum Number
29631
0
Sub-Round
29631
0
1
Sub round 1
14802
2
Sub round 2
14829
Sub-Sample
29631
0
1
Central sample
14811
2
State sample
14820
FOD Sub-Region
29631
0
Hamlet-Group/Sub-Block no.
29631
0
Second Stage Stratum
29631
0
HHS No.
29631
0
Level
29631
0
02
29631
Household Size
How many members are there in the household?
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.
29631
0
1
33
5.152
2.862
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.
NIC Code(5-digit)
Which industry are the members working in?
The description of the principal household industry will be recorded in the space provided. The entry cell for item 2 has been split for recording each digit separately. The appropriate five-digit industry code of the NIC 1998 will be recorded here. For households deriving income from non-economic activities only, a dash (-) may be put against this item.
27969
0
01111
12002
01112
234
01113
238
01114
25
01115
263
01116
78
01117
3
01119
26
01121
147
01122
40
01131
26
01132
92
01133
280
01134
123
01135
91
01211
166
01212
17
01213
18
01221
1
01222
14
01223
1
01224
7
01300
2
01401
6
01403
11
01404
17
01405
7
01406
3
01407
2
01409
23
0140x
1
01500
1
02001
15
02002
19
02004
30
02005
6
02006
2
05001
63
05002
40
05004
7
05005
6
10101
46
10102
72
10200
11
11101
6
11102
1
111xx
1
11202
1
13100
8
13203
1
13206
5
14101
8
14102
4
14103
26
14104
1
14105
1
14106
37
14107
8
14109
1
14299
1
15111
4
15112
8
15113
4
15114
1
15116
1
15124
2
15131
1
15134
4
15136
2
15139
1
15141
1
15142
7
15146
1
15147
1
15201
1
15202
2
15203
5
15204
5
15205
5
15209
3
15311
52
15312
52
15313
7
15314
7
15315
2
15316
17
15317
1
15319
4
15321
2
15326
1
15331
2
15332
1
15411
6
15412
10
15419
3
15421
14
15422
7
15424
3
15432
3
15433
46
15434
1
15440
1
15491
3
15492
3
15493
8
15495
2
15496
10
15497
6
15499
5
15511
2
15512
9
15520
1
15532
1
15541
4
15543
2
15544
3
16001
3
16002
81
16003
3
16004
2
16005
1
16008
1
16009
3
17111
24
17112
5
17113
1
17114
7
17115
103
17116
40
17117
5
17118
28
17119
17
1711x
1
17121
18
17122
1
17124
13
1712x
1
17211
1
17213
2
17214
7
17215
1
17219
3
17221
4
17222
5
17223
5
17224
3
17225
1
17226
9
17231
11
17232
7
17233
4
17234
1
17235
1
17236
2
17239
2
17291
25
17292
21
17297
1
17301
7
17302
5
17303
3
18101
123
18105
142
18109
12
18201
1
18204
4
18205
1
18209
1
19111
1
19112
4
19113
5
19121
3
19122
6
19123
1
19129
6
19201
40
19202
4
20101
23
20102
1
20211
3
20212
2
20219
1
20221
111
20222
1
20231
3
20232
1
20233
12
20239
17
20291
1
20293
18
20294
1
20295
13
20296
5
20297
1
20299
10
20xxx
1
21011
2
21012
23
21014
1
21015
1
21022
6
21029
1
21091
1
21093
2
21097
2
21xxx
1
22110
7
22121
8
22122
4
22130
1
22190
2
22211
7
22212
17
22219
24
22221
2
22222
7
22300
1
23101
1
23109
2
23201
13
23203
1
23300
4
24114
3
24117
1
24119
9
24122
2
24123
2
24124
2
24129
2
24132
1
24134
1
24139
1
24211
2
24222
6
24231
1
24232
23
24233
6
24236
1
24241
5
24243
1
24244
1
24246
4
24248
3
24249
1
24291
12
24292
6
24293
1
24294
2
24295
1
24297
1
24298
3
24299
1
25111
5
25112
1
25113
1
25114
1
25119
3
25191
3
25192
2
25199
4
25201
2
25202
7
25203
2
25204
3
25206
1
25207
1
25208
1
25209
26
26101
3
26102
1
26104
1
26106
7
26107
1
26109
1
26911
27
26912
1
26914
2
26921
6
26931
75
26932
1
26933
4
26939
6
26941
7
26942
7
26943
2
26944
1
26954
4
26956
2
26959
3
26960
24
26991
2
27101
3
27102
1
27103
2
27104
26
27105
3
27106
23
27107
2
27108
3
27109
8
27201
8
27202
3
27203
10
27205
10
27209
2
27310
5
27320
3
28111
43
28112
9
28113
5
28122
2
28123
4
28129
3
28131
1
28133
1
28910
8
28920
19
28931
8
28932
11
28933
4
28939
19
28991
9
28992
1
28993
1
28994
3
28995
10
28996
7
28997
2
28999
27
29113
5
29120
9
29130
11
29141
1
29150
4
29191
2
29192
2
29196
1
29211
6
29212
2
29214
7
29219
2
29221
1
29223
4
29224
1
29244
1
29246
2
29254
1
29256
1
29261
1
29262
1
29268
2
29270
5
29294
2
29295
1
29297
1
29299
2
29302
1
29303
2
29305
2
29306
1
29309
4
30005
1
30007
3
30009
1
30xxx
2
31101
3
31102
4
31103
1
31109
1
31200
7
31300
3
31401
1
31501
4
31901
2
31903
1
31909
2
32101
2
32102
1
32104
1
32109
5
32201
1
32202
1
32204
2
32209
1
32301
1
32303
2
32309
2
33112
5
33119
1
33129
1
33130
1
34101
2
34102
8
34103
1
34104
3
34107
1
34201
4
34203
1
34300
20
35111
5
35112
3
35201
5
35202
1
35203
4
35302
1
35303
1
35911
1
35912
2
35914
7
35923
7
35xxx
1
36101
78
36102
10
36104
2
36109
4
36911
75
36912
25
36920
2
36934
1
36939
2
36941
4
36942
1
36991
6
36992
1
36993
1
36995
2
36996
7
36997
2
36998
3
36999
12
369xx
1
37100
1
40101
47
40102
28
40103
6
40104
2
40105
2
40107
1
40108
1
40109
102
40200
6
41000
36
45101
1
45102
1
45201
1074
45202
100
45203
126
45205
16
45206
1
45208
2
45209
17
45301
24
45302
1
45303
35
45309
6
45401
7
45402
52
45403
13
45500
2
50101
3
50102
2
50103
5
50200
61
50300
18
50401
6
50403
1
50404
35
50500
12
51101
45
51102
11
51103
4
51109
19
511xx
1
51211
59
51212
3
51213
13
51214
4
51215
3
51216
3
51219
5
51221
39
51222
6
51223
13
51224
9
51225
13
51226
2
51227
3
51229
7
51311
20
51312
3
51391
9
51392
2
51393
2
51395
2
51396
8
51397
18
51398
1
51399
7
51410
5
51420
1
51431
8
51432
12
51433
8
51434
2
51491
1
51494
1
51496
5
51497
4
51498
32
51502
2
51504
1
51506
1
51507
1
51909
9
52110
160
5211x
2
52190
28
521xx
1
52201
483
52202
250
52203
79
52204
11
52205
51
52206
27
52207
96
52208
22
52209
45
522xx
2
52311
75
52312
31
52321
160
52322
87
52323
41
52324
7
52331
24
52332
21
52333
11
52334
18
52335
29
52339
29
52341
34
52342
42
52391
5
52392
4
52393
20
52394
5
52395
48
52396
44
52397
21
52398
4
52399
52
52400
18
52510
5
52520
27
52591
2
52599
60
52601
21
52602
31
52603
31
52604
9
52605
49
52609
17
52xxx
1
55101
38
55102
3
55103
5
55104
7
55109
1
55201
34
55202
183
55203
19
55204
23
55205
1
55209
127
60100
204
60210
127
60221
343
60222
128
60231
290
60232
136
61100
14
611xx
1
61200
3
62100
12
63011
6
63012
5
63013
2
63021
6
63022
3
63023
2
63031
1
63032
10
63033
2
63040
10
63090
14
63xxx
1
64110
48
64120
11
64201
96
64202
8
64203
9
64204
6
65110
37
65191
132
65192
1
65910
5
65921
2
65922
1
65923
6
65929
9
65991
2
65992
6
65993
1
65999
13
65xxx
1
66010
49
66020
2
66030
3
67110
2
67120
4
67190
8
67200
4
70101
29
70102
1
70103
1
70109
2
70200
12
71110
4
7111x
1
71220
1
71301
28
71302
2
71309
3
72100
2
72200
32
72300
5
72400
2
72501
4
72502
1
72900
6
73100
12
74110
92
74120
21
74130
3
74140
2
74210
6
74220
1
74300
8
74910
3
74920
13
74930
1
74940
25
74950
2
74991
1
74992
5
74993
4
74994
1
74999
27
75111
154
75112
898
75113
122
75121
10
75122
31
75123
20
75131
12
75132
17
75133
3
75141
8
75142
24
75143
11
75144
4
75210
1
7521x
1
75220
47
75231
24
75232
205
7523x
1
752xx
2
75301
1
75302
18
80101
437
80102
11
80211
379
80212
2
8021x
1
80221
26
80222
2
80301
101
80302
35
80903
16
80904
38
85110
163
85120
53
85191
21
85192
3
85193
9
85194
25
85195
8
85199
6
851xx
1
85200
25
85310
4
85320
9
90001
7
90002
5
90009
11
91110
1
91120
7
91910
80
91920
8
91990
7
92111
5
92112
1
92114
1
9211x
1
92120
4
92131
4
92132
11
9213x
1
92141
6
92142
15
92199
4
92200
2
92311
3
92312
1
92411
2
92412
2
92419
2
92490
8
93010
78
93020
109
93030
1
93090
89
95000
168
95001
20
95005
1
95009
3
9500x
8
NCO Code(3-digit)
Which occupation are the members in?
The description of the principal household occupation will be recorded in the space provided. The appropriate three-digit occupation code of the NCO 1968 is to be recorded in the entry cell which has been trisected for recording each digit separately. For households deriving income from non-economic activities only, a dash (-) may be put against this item.
27958
0
001
5
002
4
009
2
010
14
01x
1
020
2
021
47
022
33
023
23
024
6
026
2
027
1
028
6
029
13
030
13
031
13
032
24
033
19
034
4
035
2
036
2
037
2
039
20
041
1
043
1
049
2
050
1
051
2
052
1
053
4
059
2
060
7
070
73
071
20
072
11
073
3
074
3
075
9
076
19
078
4
079
6
080
13
082
14
083
10
084
44
085
11
086
2
089
29
099
4
101
1
103
9
104
2
109
1
119
1
11x
1
120
70
121
2
129
21
131
1
133
1
134
4
135
1
136
2
137
15
139
2
140
80
141
1
142
3
149
2
150
61
151
279
152
123
153
370
154
23
155
11
156
4
159
61
161
7
169
3
170
7
171
8
172
6
173
10
179
7
180
14
181
1
182
2
183
2
189
2
190
44
191
32
192
12
193
1
199
12
200
1
201
1
202
3
210
15
211
47
212
8
213
5
219
3
220
48
221
239
229
11
230
35
231
3
239
5
240
10
241
78
242
8
243
392
249
64
24x
1
250
116
251
14
252
1
259
52
260
86
261
10
269
110
299
51
300
104
301
60
302
86
309
40
310
45
320
19
321
22
329
3
330
92
331
44
339
12
340
5
341
3
349
21
34x
1
350
477
351
21
352
4
353
6
356
10
357
14
358
320
359
28
360
10
361
14
369
13
370
5
371
30
379
9
37x
2
380
21
381
8
389
13
390
18
391
1
392
3
399
11
400
144
401
1432
409
35
410
25
411
5
412
39
419
17
420
3
421
2
429
1
430
241
431
301
439
52
440
32
441
14
442
18
443
44
445
2
449
8
450
8
451
2
459
7
499
10
500
131
510
5
520
90
521
39
529
51
530
22
531
72
539
12
540
8
541
115
542
14
549
14
550
64
551
5
559
4
55x
1
560
104
570
11
571
250
572
3
573
64
574
141
579
12
590
1
599
28
600
8
601
1
602
1
603
1
604
2
605
1
609
7
610
10013
611
275
619
20
61x
1
620
261
621
62
622
111
623
13
624
3
625
29
629
13
630
2907
640
138
641
32
649
1
650
8
651
16
652
33
659
6
660
27
661
14
662
17
663
6
669
9
670
1
671
2
680
27
681
57
682
1
689
15
710
12
711
30
712
17
713
6
715
13
716
1
717
2
718
2
719
23
720
8
721
4
722
1
723
2
724
8
725
8
726
1
727
1
728
6
729
17
732
15
733
3
734
1
739
3
740
1
741
2
742
3
743
1
745
3
749
16
750
21
751
7
752
25
753
2
754
6
755
131
756
13
757
12
758
6
759
29
761
2
769
3
770
3
771
49
772
5
773
8
774
10
775
8
776
5
777
48
778
8
779
3
780
1
781
1
782
2
783
2
784
71
789
3
790
9
791
223
792
1
794
8
795
37
796
2
799
25
800
1
801
38
802
6
803
1
809
12
810
4
811
221
812
3
813
2
815
2
816
1
819
17
820
3
821
23
829
5
830
4
831
22
832
2
833
3
834
4
835
54
836
2
839
9
840
15
841
8
842
40
843
61
844
3
845
127
849
15
850
19
851
82
852
10
853
3
854
20
855
29
856
7
857
60
859
31
860
2
861
6
862
1
869
6
870
6
871
42
872
46
873
6
874
7
879
8
880
2
881
65
882
2
883
1
889
15
890
2
891
9
892
22
893
5
895
2
899
9
900
3
901
15
902
4
903
7
909
6
910
4
911
4
919
4
920
5
921
2
922
2
923
11
927
8
928
4
929
10
930
2
931
64
932
15
939
8
940
12
941
2
942
27
943
7
949
81
950
45
951
355
952
19
953
5
954
1
955
10
956
2
957
3
958
12
959
329
960
1
961
14
962
3
963
8
969
6
970
60
971
95
973
1
974
7
975
7
976
22
979
17
980
18
981
16
982
1
983
17
984
3
985
32
986
497
987
38
988
163
989
79
999
803
Household type
29599
0
Household type with sector
29631
0
11
self-employed in non-agriculture - rural
2286
12
agricultural labour - rural
2974
13
1429
14
self-employed in agriculture - rural
10279
19
Others - rural
1991
20
invalid
32
21
self-employed - urban
3971
22
regular wage/salary earning - urban
4495
23
casual labour - urban
973
29
Others - urban
1201
This variable has been derived by concatenating the variables "sector" and "household type" to enable the users to easily access information on "sector wise household type".
Religion
Which religion does the household belong to?
The religion of the household will be recorded against this item in code. 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.
29628
0
1
Hinduism
23541
2
Islam
3257
3
Christianity
1717
4
Sikhism
487
5
Jainism
105
6
Buddhism
245
7
Zoroastrianism
3
9
Others
273
Social Group
Which social group does the household belong to?
29619
0
1
Scheduled Tribe
3504
2
Scheduled Caste
4417
3
Other Backward Class
10849
9
Others
10849
Land Possessed
How much land does the household possess?
The total land area possessed by the household as on the date of survey will be worked out and recorded against this item in code.
28893
0
01
less than 0.005 hectares
6048
02
0.005 - 0.01 hectares
4871
03
0.02 - 0.20 hectares
3820
04
0.21 - 0.40 hectares
2033
05
0.41 - 1.00 hectares
3760
06
4243
07
2.01 – 3.00 hectares
2187
08
1119
09
invalid
6
10
4.01 – 6.00 hectares
806
11
0
12
greater than 8.00 hectares
0
Dwelling unit
Do you own the dwelling unit? Or is it hired or otherwise occupied?
29623
0
1
Owned
24791
2
Hired
3916
3
No dwelling unit
4
9
Others
912
Type of Dwelling
What is the type of dwelling of the household? Is it an independent house or a flat or any other type of dwelling?
29598
0
1
Independent house
24818
2
Flat
2798
3
No dwelling
0
5
1
9
Others
1981
Type of Structure
What is the type of structure of the dwelling?
29248
0
1
Pucca
18773
2
Semi-pucca
7180
3
Serviceable katchcha
3283
4
Unserviceable katchcha
0
5
No structure
12
Covered Area
How much is the covered area of the dwelling unit?
29538
93
0
600
57.657
45.51
Cooking
What is the primary source of energy that is being used by the household for cooking?
29618
0
01
412
02
16074
03
8973
04
95
05
1803
06
charcoal
35
07
1103
08
electricity
47
09
0
10
No cooking arrangement
587
11
invalid
489
Lighting
What is the primary source of energy that is being used by the household for lighting?
29610
0
1
8292
2
52
3
42
4
25
5
21050
6
71
9
78
Hhld. Exp.-Purchase
How much did the household spend on purchases and other cash payments made for its members' needs during the last 30 days?
29506
125
0
963358
3191.477
7468.072
Hhld. Exp.-Home-Produced Stock
Did the household members use any goods grown/produced by the household for their own consumption during the last 30 days? If so, how much? What was the estimated value of such goods consumed at ex farm/factory price? Goods may be cereals, pulses, vegetables, milk, firewood & chips, cow dung, footwear, clothes, etc.
16552
13079
0
137224
966.244
1441.317
Hhld. Exp.-Receipts in Exchange
Whether the household consumed any goods and services which have been procured or received against some goods or services of the household during the last 30 days? What is the estimated value of these goods and services at local retail prices?
For wage/salaried households such items may be perquisites like free electricity, free telephone services, free medical services, etc. Agricultural labourer may receive payments in kind such as in the form of crops/goods produced by the cultivator. A cultivator may make any payment for goods and services in terms of food grains, vegetables, etc. A barber may receive his payment in food grains, vegetables, etc. These are to be considered while recording information against this item.
2640
26991
0
10000
247.565
467.566
Hhld. Exp.-Gifts and Loans
Whether any goods and services were procured by way of gift or loan for household consumption during the last 30 days? What is the estimated value of these items at local retail prices? These items may be items of food, pan, tobacco and intoxicants, fuel and light, clothing and footwear.
4190
25441
0
300000
375.143
4745.478
Hhld. Exp.-Free Collection
Whether any item was procured by the household through free collection during the last 30 days for its consumption? What is the estimated value of these items at local retail prices? Normally, such items are firewood, cow dung, vegetables, honey or other forest products.
12498
17133
0
40000
195.702
537.864
Hhld. Exp.-Total
This will be obtained as the sum of items 14-18.
29598
33
0
964508
3879.732
7880.809
MPCE (Rs.0.00)
29631
0
41.95
38331.82
954.952
876.356
Performed any ceremony?
Did the household perform any ceremony during the last 30 days?
If the household performs any ceremony during the last 30 days, then code '1' will be recorded against this item. Otherwise, '2' will be recorded.
29613
0
1
yes
547
2
no
29066
No. of meals served to outsiders
How many no. of meals were served to non-household members during the last 30 days?
The total number of meals served to non-household members during the last 30 days will be recorded against this item.
20524
9107
Purchase from Ration etc.
Did the household purchase any cereal from ration/fair price shop during the last 30 days?
29601
0
1
yes
4858
2
no
24740
9
invalid
3
NSS
29631
0
NSC
29631
0
Multiplier
29631
0
9.75
245916
13418.082
14333.368
Sub sample Multiplier
29631
0
0.0975
2459.16
134.181
143.334
Combined Multiplier
29631
0
0.0488
1229.58
67.09
71.667
NSS
Wgt_Combined = MLT/200]]>
Primary key - unique identifier for a member in the household
152669
0
Key to identify a household
152669
0
This variable has been derived for identifying a household by combining FSU, Schedule type, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
152669
0
LOT/FSU number
152669
0
Round
152669
0
Indicates the NSS round number of this survey.
60
152669
Schedule Number
152669
0
Indicates the schedule number of this survey.
010
152669
Schedule Type
152669
0
1
76381
2
76288
Sample
152669
0
1
152669
Sector
152669
0
Sector : A word used for the rural-urban demarcation.
1
Rural
106705
2
Urban
45964
State-Region
152669
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
152669
0
01
Jammu & Kashmir
2688
02
Himachal Pradesh
2819
03
Punjab
3067
04
Chandigarh
639
05
Uttaranchal
1096
06
Haryana
3256
07
Delhi
1727
08
Rajasthan
7974
09
Uttar Pradesh
23221
10
Bihar
10132
11
Sikkim
971
12
Arunachal Pradesh
2125
13
Nagaland
727
14
Manipur
3467
15
Mizoram
2076
16
Tripura
1960
17
Meghalaya
1581
18
Assam
5532
19
West Bengal
9841
20
Jharkhand
4375
21
Orissa
5623
22
Chhattisgarh
3131
23
Madhya Pradesh
7940
24
Gujrat
5683
25
Daman & Diu
292
26
Dadra & Nagar Haveli
290
27
Maharastra
10264
28
Andhra Pardesh
8789
29
Karnataka
6617
30
Goa
304
31
Lakshadweep
398
32
Kerala
5039
33
Tamil Nadu
8082
34
Pondicheri
414
35
Andaman & Nicober
529
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
152669
0
Stratum Number
152669
0
Sub-Round
152669
0
1
Sub round 1
76476
2
Sub round 2
76193
Sub-Sample
152669
0
1
Central sample
76102
2
State sample
76567
FOD Sub-Region
152669
0
Hamlet-Group/Sub-Block no.
152669
0
Second Stage Stratum
152669
0
HHS No.
152669
0
Level
152669
0
03
152669
Person Srl No.
All the members of the sample household will be listed in block 4 using a continuous serial number in column (1). In the list, the head of the household will appear first followed by head's spouse, the first son, first son's wife and their children, second son, second son's wife and their children and so on. After the sons are enumerated, the daughters will be listed followed by other relations, dependants, servants, etc.
152669
0
Relation
What is your relation to head of the household?
The family relationship of each member of the household with the head of the household (for the head, the relationship is 'self') expressed in terms of specified codes will be recorded in this column.
152669
0
1
Self
29631
2
Spouse of head
24093
3
Married child
9025
4
Spouse of married child
9027
5
Unmarried child
52649
6
Grandchild
15863
7
Father/mother/father-in-law/mother-in-law
4183
8
Brother/sister/brother-in-law/sister-in-law/other relatives
7801
9
Servant/employee/or non-relatives
397
Sex
Sex of the member
For each and every member of the household, sex in terms of the code (male-1, female-2) will be recorded in this column. For eunuch, code '1' will be recorded.
152669
0
1
Male
79111
2
Female
73558
Age
Age of the member
The age in completed years of all the members listed will be ascertained and recorded in this column. For infants below one year of age, '0' will be entered. As a departure from earlier rounds, the age above 99 will be recorded in three digits.
152669
0
0
282
27.164
19.271
Marital Status
Marital status of the member
The marital status of each member will be recorded in terms of the specified code in this column.
152647
0
1
Never married
74528
2
Currently married
70526
3
Widowed
7083
4
Divorced/separated
510
Education
Education of the member
152354
0
01
Not literate
53932
02
Literate without formal schooling
1907
03
Literate but below primary
22430
04
Primary
21690
05
Middle
23061
06
Secondary
13035
07
Higher secondary
7419
08
Diploma / certificate course
860
10
Graduate
6194
11
Post graduate and above
1826
Days Stayed away
How many days a member has stayed away from the household?
38178
114491
0
30
1.964
5.019
No. of Meals per day
How many meals do you usually take in a day?
152426
243
0
3
2.426
0.574
Meals (School)
Columns (10), (11) and (12) pertain to meals taken away from home without payment.
20865
131804
0
90
1.994
6.583
Meals (Employer)
Columns (10), (11) and (12) pertain to meals taken away from home without payment.
19424
133245
0
90
0.692
5.692
Meals (Others)
If you or any member of the household take meals free of cost from others, then how many such meals do you take in a day?
Columns (10), (11) and (12) pertain to meals taken away from home without payment.
29744
122925
0
90
5.184
12.515
Meals (Payment)
If you or any member of the household take meals away from home on payment, then how many such meals do you take?
22189
130480
0
90
2.714
10.561
Meals(At Home)
How many meals are taken at home in a day?
151645
1024
0
99
71.115
17.99
NSS
152669
0
NSC
152669
0
Multiplier
152669
0
9.75
245916
12746.727
13853.798
Sub sample Multiplier
152669
0
0.0975
2459.16
127.467
138.538
Combined Multiplier
152669
0
0.0488
1229.58
63.734
69.269
NSS
Wgt_Combined = MLT/200]]>
Key to identify a household
395840
0
This variable has been derived for identifying a household by combining FSU, Schedule type, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
395840
0
LOT/FSU number
395840
0
Round
395840
0
Indicates the NSS round number of this survey.
60
395840
Schedule Number
395840
0
Indicates the schedule number of this survey.
010
395840
Schedule Type
395840
0
1
198604
2
197236
Sample
395840
0
1
395840
Sector
395840
0
Sector : A word used for the rural-urban demarcation.
1
Rural
246056
2
Urban
149784
State-Region
395840
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
395840
0
01
Jammu & Kashmir
6695
02
Himachal Pradesh
9415
03
Punjab
8808
04
Chandigarh
2617
05
Uttaranchal
3280
06
Haryana
8268
07
Delhi
6138
08
Rajasthan
17415
09
Uttar Pradesh
51314
10
Bihar
21848
11
Sikkim
2300
12
Arunachal Pradesh
4116
13
Nagaland
1537
14
Manipur
6360
15
Mizoram
4711
16
Tripura
5309
17
Meghalaya
3213
18
Assam
12840
19
West Bengal
25664
20
Jharkhand
9572
21
Orissa
12441
22
Chhattisgarh
5923
23
Madhya Pradesh
19160
24
Gujrat
17322
25
Daman & Diu
880
26
Dadra & Nagar Haveli
912
27
Maharastra
32581
28
Andhra Pardesh
25097
29
Karnataka
21051
30
Goa
1175
31
Lakshadweep
863
32
Kerala
16011
33
Tamil Nadu
28068
34
Pondicheri
1378
35
Andaman & Nicober
1558
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
395840
0
Stratum Number
395840
0
Sub-Round
395840
0
1
Sub round 1
199484
2
Sub round 2
196356
Sub-Sample
395840
0
1
Central sample
198338
2
State sample
197502
FOD Sub-Region
395840
0
Hamlet-Group/Sub-Block no.
395840
0
Second Stage Stratum
395840
0
HHS No.
395840
0
Level
395840
0
04
395840
Block 5 Item Code
395840
0
101
rice – P.D.S.
4575
102
rice – other sources
26545
103
chira
5238
104
khoi, lawa
234
105
muri
4973
106
other rice products
1212
107
wheat/atta – P.D.S.
1386
108
wheat/atta – other sources
20277
110
maida
3222
111
suji, rawa
8533
112
sewai, noodles
1489
113
bread (bakery)
5946
114
other wheat products
131
115
jowar & products
2155
116
bajra & products
1518
117
maize & products
1597
118
barley & products
71
120
small millets & products
226
121
ragi & products
1323
129
cereal: s.t. (101-121)
28999
139
cereal substitutes (tapioca, jackfruit seed, etc.)
2342
140
arhar (tur)
17107
141
gram (split)
9524
142
gram (whole)
5022
143
moong
13813
144
masur
12515
145
urd
11441
146
peas
2794
147
soyabean
935
148
khesari
677
150
other pulses
4518
151
gram products
1277
152
besan
8016
153
other pulse products
3841
159
pulses & pulse products: s.t. (140-153)
28646
160
milk: liquid (litre)
22769
161
baby food
420
162
milk : condensed/ powder
1948
163
curd
2091
164
ghee
4525
165
butter
641
166
ice-cream
794
167
other milk products
872
169
milk & milk products: s.t.(160-167)
24582
170
sugar - P.D.S.
4684
171
sugar - other sources
25044
172
gur
8281
173
candy (misri)
211
174
honey
205
175
sugar substitutes
4
179
sugar : s.t. (170-175)
28090
189
salt
28561
Quantity (0.00)
How much quantity of the item was consumed by the household in the last 30 days?
370458
25382
0.01
9100
13.483
31.556
Value (Rs. 0.00)
What was the value of the items consumed by the household in the last 30 days?
395840
0
0.15
11562
162.204
279.131
Source Code
What was the source of obtaining the item?
Consumption of an item during the last 30 days may be made out of one or more sources. The source from which the item has been procured and consumed by the household will be recorded in terms of codes.
284685
0
1
only purchase
248014
2
only home-grown stock
33996
3
both purchase and home-grown stock
1207
4
only free collection
196
5
only exchange of goods and services
302
6
only gifts / charities
351
9
others
619
NSS
395840
0
NSC
395840
0
Multiplier
395840
0
9.75
245916
13128.786
14123.294
Sub sample Multiplier
395840
0
0.0975
2459.16
131.288
141.233
Combined Multiplier
395840
0
0.0488
1229.58
65.644
70.616
NSS
Wgt_Combined = MLT/200]]>
Key to identify a household
910195
0
This variable has been derived for identifying a household by combining FSU, Schedule type, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
910195
0
LOT/FSU number
910195
0
Round
910195
0
Indicates the NSS round number of this survey.
60
910195
Schedule Number
910195
0
Indicates the schedule number of this survey.
010
910195
Schedule Type
910195
0
1
489573
2
420622
Sample
910195
0
1
910195
Sector
910195
0
Sector : A word used for the rural-urban demarcation.
1
Rural
569336
2
Urban
340859
State-Region
910195
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
910195
0
01
Jammu & Kashmir
12876
02
Himachal Pradesh
14274
03
Punjab
16127
04
Chandigarh
4835
05
Uttaranchal
5855
06
Haryana
14708
07
Delhi
12680
08
Rajasthan
33311
09
Uttar Pradesh
107529
10
Bihar
44835
11
Sikkim
5420
12
Arunachal Pradesh
10299
13
Nagaland
3880
14
Manipur
17847
15
Mizoram
12061
16
Tripura
15320
17
Meghalaya
10932
18
Assam
37671
19
West Bengal
69907
20
Jharkhand
23485
21
Orissa
34738
22
Chhattisgarh
16728
23
Madhya Pradesh
41371
24
Gujrat
34227
25
Daman & Diu
2029
26
Dadra & Nagar Haveli
2052
27
Maharastra
71064
28
Andhra Pardesh
65433
29
Karnataka
44369
30
Goa
2819
31
Lakshadweep
2350
32
Kerala
39602
33
Tamil Nadu
71391
34
Pondicheri
3850
35
Andaman & Nicober
4320
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
910195
0
Stratum Number
910195
0
Sub-Round
910195
0
1
Sub round 1
460470
2
Sub round 2
449725
Sub-Sample
910195
0
1
Central sample
455197
2
State sample
454998
FOD Sub-Region
910195
0
Hamlet-Group/Sub-Block no.
910195
0
Second Stage Stratum
910195
0
HHS No.
910195
0
Level
910195
0
04
910195
Block 6 Item Code
910195
0
190
vanaspati, margarine
4556
191
mustard oil
15193
192
groundnut oil
4444
193
coconut oil
1313
194
edible oil (others)
9287
199
edible oil: s.t. (190-194)
28751
201
eggs (no.)
10499
202
fish, prawn
10287
203
goat meat/mutton
5310
204
beef/ buffalo meat
2352
205
pork
1340
206
chicken
5318
207
others (birds, crab, oyster, tortoise, etc.)
567
209
egg, fish & meat: s.t. (201-207)
17749
210
potato
26907
211
onion
27878
212
radish
7694
213
carrot
7177
214
turnip
559
215
beet
1388
216
sweet potato
964
217
arum
2556
218
pumpkin
7801
220
gourd
8899
221
bitter gourd
6500
222
cucumber
7030
223
parwal / patal
3668
224
jhinga / torai
5089
225
snake gourd
1618
226
papaya (green)
2461
227
cauliflower
9853
228
cabbage
13547
230
brinjal
19497
231
lady’s finger
12198
232
palak/other leafy vegetables
20369
233
french beans and barbati
5279
234
tomato
23816
235
peas
5258
236
chillis (green)
24428
237
capsicum
768
238
plantain (green)
1981
240
jackfruit (green)
1478
241
lemon (no.)
11231
242
other vegetables
14456
249
vegetables: s.t. (210-242)
28969
250
banana (no.)
13737
251
jackfruit
374
252
watermelon
2306
253
pineapple (no.)
444
254
coconut (no.)
7298
255
guava
1953
256
singara
70
257
orange, mausami (no.)
4847
258
papaya
1257
260
mango
4610
261
kharbooza
1381
262
pears (naspati)
31
263
berries
454
264
leechi
428
265
apple
2716
266
grapes
5293
267
other fresh fruits
3624
269
fruits (fresh) : s.t. (250-267)
23217
270
coconut (copra)
2541
271
groundnut
5719
272
dates
858
273
cashewnut
918
274
walnut
100
275
other nuts
190
276
raisin (kishmish, monacca, etc.)
1214
277
other dry fruits
887
279
fruits (dry) : s.t. (270-277)
8012
280
turmeric (gm)
27891
281
black pepper (gm)
8049
282
dry chillies (gm)
25666
283
garlic (gm)
24589
284
tamarind (gm)
7738
285
ginger (gm)
16512
286
curry powder (gm)
6599
287
oilseeds (gm)
10745
288
other spices (gm)
26330
289
spices : s.t. (280-288)
28878
290
tea : cups (no.)
15065
291
tea : leaf (gm)
24895
292
coffee : cups (no.)
389
293
coffee: powder (gm)
2135
294
ice
154
295
cold beverages: bottled/canned (litre)
1837
296
fruit juice and shake (litre)
705
297
coconut: green (no.)
802
298
other beverages (cocoa, etc.)
1013
300
biscuits
18014
301
salted refreshments
13696
302
prepared sweets
5733
303
cooked meals (no.)
2353
304
cake, pastry
474
305
pickles (gm)
5359
306
sauce (gm)
402
307
jam, jelly (gm)
296
308
other processed food
9423
309
beverages, etc.: s.t. (290-308)
29139
310
pan : leaf (no.)
3380
311
pan : finished (no.)
3855
312
supari (gm)
4041
313
lime (gm)
5027
314
katha (gm)
769
315
other ingredients for pan (gm)
1570
319
pan: s.t. (310-315)
8983
320
bidi (no.)
8153
321
cigarettes (no.)
2112
322
leaf tobacco (gm)
5170
323
snuff (gm)
275
324
hookah tobacco (gm)
678
325
cheroot (no.)
151
326
zarda, kimam, surti (gm)
1149
327
other tobacco products (gm)
2156
329
tobacco: s.t. (320-327)
16142
330
ganja (gm)
31
331
toddy (litre)
581
332
country liquor (litre)
2636
333
beer (litre)
183
334
foreign liquor or refined liquor (litre)
772
335
other intoxicants
376
339
intoxicants: s.t. (330-335)
4362
Quantity (0.00)
How much quantity of the item was consumed by the household in the last 7 days?
767273
142922
0
27500
82.753
256.893
Value (Rs. 0.00)
What was the value of the items consumed by the household in the last 7 days?
910194
1
0.01
23061
40.45
97.681
Source Code
What was the source of obtaining the item?
Consumption of an item during the last 30 days may be made out of one or more sources. The source from which the item has been procured and consumed by the household will be recorded in terms of codes.
713762
0
1
only purchase
660868
2
only home-grown stock
39495
3
both purchase and home-grown stock
3651
4
only free collection
4397
5
only exchange of goods and services
539
6
only gifts / charities
1257
9
others
3555
NSS
910195
0
NSC
910195
0
Multiplier
910195
0
9.75
245916
13074.131
14174.466
Sub sample Multiplier
910195
0
0.0975
2459.16
130.741
141.745
Combined Multiplier
910195
0
0.0488
1229.58
65.371
70.872
NSS
Wgt_Combined = MLT/200]]>
Key to identify a household
149188
0
This variable has been derived for identifying a household by combining FSU, Schedule type, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
149188
0
LOT/FSU number
149188
0
Round
149188
0
Indicates the NSS round number of this survey.
60
149188
Schedule Number
149188
0
Indicates the schedule number of this survey.
010
149188
Schedule Type
149188
0
1
74890
2
74298
Sample
149188
0
1
149188
Sector
149188
0
Sector : A word used for the rural-urban demarcation.
1
Rural
98902
2
Urban
50286
State-Region
149188
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
149188
0
01
Jammu & Kashmir
2752
02
Himachal Pradesh
2745
03
Punjab
3160
04
Chandigarh
671
05
Uttaranchal
1092
06
Haryana
3261
07
Delhi
1907
08
Rajasthan
6708
09
Uttar Pradesh
19892
10
Bihar
8738
11
Sikkim
985
12
Arunachal Pradesh
1813
13
Nagaland
750
14
Manipur
3586
15
Mizoram
2042
16
Tripura
2097
17
Meghalaya
1370
18
Assam
5318
19
West Bengal
10480
20
Jharkhand
4141
21
Orissa
5247
22
Chhattisgarh
2907
23
Madhya Pradesh
7538
24
Gujrat
5298
25
Daman & Diu
277
26
Dadra & Nagar Haveli
300
27
Maharastra
10298
28
Andhra Pardesh
9649
29
Karnataka
6660
30
Goa
393
31
Lakshadweep
319
32
Kerala
6105
33
Tamil Nadu
9701
34
Pondicheri
496
35
Andaman & Nicober
492
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
149188
0
Stratum Number
149188
0
Sub-Round
149188
0
1
Sub round 1
74622
2
Sub round 2
74566
Sub-Sample
149188
0
1
Central sample
74618
2
State sample
74570
FOD Sub-Region
149188
0
Hamlet-Group/Sub-Block no.
149188
0
Second Stage Stratum
149188
0
HHS No.
149188
0
Level
149188
0
04
149188
Block 7 Item Code
149188
0
340
coke
185
341
firewood and chips
19611
342
electricity (std. unit)
20724
343
dung cake
8612
344
kerosene - P.D.S. (litre)
14774
345
kerosene - other sources (litre)
9402
346
matches (box)
27803
347
coal
345
348
LPG
10082
350
charcoal
182
351
candle (no.)
5946
352
gobar gas
130
353
other fuel
1877
359
fuel and light: s.t. (340-353)
29515
Quantity (0.00)
How much quantity of the item was consumed by the household in the last 30 days?
109099
40089
0.01
7000
44.479
80.682
Value (Rs. 0.00)
What was the value of the items consumed by the household in the last 30 days?
149188
0
0.5
5060
140.781
183.448
Source Code
What was the source of obtaining the item?
Consumption of an item during the last 30 days may be made out of one or more sources. The source from which the item has been procured and consumed by the household will be recorded in terms of codes.
119133
0
1
only purchase
94942
2
only home-grown stock
10950
3
both purchase and home-grown stock
1080
4
only free collection
10292
5
only exchange of goods and services
149
6
only gifts / charities
62
9
others
1658
NSS
149188
0
NSC
149188
0
Multiplier
149188
0
9.75
245916
13320.676
14207.162
Sub sample Multiplier
149188
0
0.0975
2459.16
133.207
142.072
Combined Multiplier
149188
0
0.0488
1229.58
66.603
71.036
NSS
Wgt_Combined = MLT/200]]>
Key to identify a household
269037
0
This variable has been derived for identifying a household by combining FSU, Schedule type, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
269037
0
LOT/FSU number
269037
0
Round
269037
0
Indicates the NSS round number of this survey.
60
269037
Schedule Number
269037
0
Indicates the schedule number of this survey.
010
269037
Schedule Type
269037
0
1
135305
2
133732
Sample
269037
0
1
269037
Sector
269037
0
Sector : A word used for the rural-urban demarcation.
1
Rural
174457
2
Urban
94580
State-Region
269037
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
269037
0
01
Jammu & Kashmir
3946
02
Himachal Pradesh
4813
03
Punjab
5430
04
Chandigarh
1430
05
Uttaranchal
1876
06
Haryana
5127
07
Delhi
3953
08
Rajasthan
12814
09
Uttar Pradesh
37824
10
Bihar
17185
11
Sikkim
2166
12
Arunachal Pradesh
3029
13
Nagaland
1178
14
Manipur
5491
15
Mizoram
2917
16
Tripura
3790
17
Meghalaya
3138
18
Assam
11308
19
West Bengal
19311
20
Jharkhand
7833
21
Orissa
8868
22
Chhattisgarh
5496
23
Madhya Pradesh
13675
24
Gujrat
10098
25
Daman & Diu
579
26
Dadra & Nagar Haveli
620
27
Maharastra
18139
28
Andhra Pardesh
15767
29
Karnataka
11380
30
Goa
530
31
Lakshadweep
573
32
Kerala
10135
33
Tamil Nadu
16763
34
Pondicheri
918
35
Andaman & Nicober
937
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
269037
0
Stratum Number
269037
0
Sub-Round
269037
0
1
Sub round 1
134572
2
Sub round 2
134465
Sub-Sample
269037
0
1
Central sample
134403
2
State sample
134634
FOD Sub-Region
269037
0
Hamlet-Group/Sub-Block no.
269037
0
Second Stage Stratum
269037
0
HHS No.
269037
0
Level
269037
0
05
269037
Block 8 Item Code
269037
0
360
dhoti (metre)
8378
361
sari (metre)
22221
362
cloth for shirt, pyjama, salwar, etc. (metre)
24868
363
cloth for coat, trousers, overcoat, etc. (metre)
19671
364
chaddar, dupatta, shawl, etc. (no.)
10033
365
lungi (no.)
17670
366
gamchha, towel, handkerchief (no.)
25631
367
hosiery articles, stockings, under-garments, etc. (no.)
26819
368
23575
370
headwear (no.)
2624
371
knitted garments, sweater, pullover, cardigan, muffler, scarf, etc. (no.)
8981
372
knitting wool, cotton yarn (gm)
1151
373
clothing: others
6270
374
clothing: second-hand
2185
379
clothing: s.t. (360-374)
29541
380
bed sheet, bed cover (no.)
11906
381
rug, blanket (no.)
3188
382
pillow, quilt, mattress (no.)
3094
383
cloth for upholstery, curtain, table-cloth, etc. (metre)
779
384
mosquito net (no.)
1828
385
mats and matting (no.)
1594
386
cotton (gm)
544
387
bedding: others
1052
389
bedding, etc.: s.t. (380-387)
15434
Quantity (0.00)
How much quantity of the item was consumed by the household in the last 365 days?
214557
54480
0.01
55000
20.692
315.036
Value (Rs. 0.00)
What was the value of the items consumed by the household in the last 365 days?
269037
0
1
127000
700.433
1263.904
NSS
269037
0
NSC
269037
0
Multiplier
269037
0
9.75
245916
12949.902
13944.758
Sub sample Multiplier
269037
0
0.0975
2459.16
129.499
139.448
Combined Multiplier
269037
0
0.0488
1229.58
64.75
69.724
NSS
Wgt_Combined = MLT/200]]>
Key to identify a household
88386
0
This variable has been derived for identifying a household by combining FSU, Schedule type, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
88386
0
LOT/FSU number
88386
0
Round
88386
0
Indicates the NSS round number of this survey.
60
88386
Schedule Number
88386
0
Indicates the schedule number of this survey.
010
88386
Schedule Type
88386
0
1
44505
2
43881
Sample
88386
0
1
88386
Sector
88386
0
Sector : A word used for the rural-urban demarcation.
1
Rural
54480
2
Urban
33906
State-Region
88386
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
88386
0
01
Jammu & Kashmir
1823
02
Himachal Pradesh
2092
03
Punjab
2188
04
Chandigarh
605
05
Uttaranchal
594
06
Haryana
2107
07
Delhi
1474
08
Rajasthan
5016
09
Uttar Pradesh
11994
10
Bihar
4199
11
Sikkim
744
12
Arunachal Pradesh
1132
13
Nagaland
583
14
Manipur
1857
15
Mizoram
1586
16
Tripura
1113
17
Meghalaya
1151
18
Assam
2916
19
West Bengal
5604
20
Jharkhand
2229
21
Orissa
2508
22
Chhattisgarh
1588
23
Madhya Pradesh
4332
24
Gujrat
3768
25
Daman & Diu
207
26
Dadra & Nagar Haveli
188
27
Maharastra
6404
28
Andhra Pardesh
5266
29
Karnataka
3819
30
Goa
254
31
Lakshadweep
168
32
Kerala
3110
33
Tamil Nadu
5090
34
Pondicheri
329
35
Andaman & Nicober
348
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
88386
0
Stratum Number
88386
0
Sub-Round
88386
0
1
Sub round 1
44015
2
Sub round 2
44371
Sub-Sample
88386
0
1
Central sample
44221
2
State sample
44165
FOD Sub-Region
88386
0
Hamlet-Group/Sub-Block no.
88386
0
Second Stage Stratum
88386
0
HHS No.
88386
0
Level
88386
0
05
88386
Block 9 Item Code
88386
0
390
leather boots, shoes
10021
391
leather sandals, chappals, etc.
13098
392
other leather footwear
4853
393
rubber / PVC footwear
23710
394
other footwear
7805
399
footwear: s.t. (390-394)
28899
Quantity (0.00)
How much quantity of the item was consumed by the household in the last 365 days?
88378
8
0
32.03
0.0447
0.218
Value (Rs. 0.00)
What was the value of the items consumed by the household in the last 365 days?
88386
0
0.2
10000
376.098
468.724
NSS
88386
0
NSC
88386
0
Multiplier
88386
0
9.75
245916
12521.398
13935.974
Sub sample Multiplier
88386
0
0.0975
2459.16
125.214
139.36
Combined Multiplier
88386
0
0.0488
1229.58
62.607
69.68
NSS
Wgt_Combined = MLT/200]]>
Key to identify a household
101674
0
This variable has been derived for identifying a household by combining FSU, Schedule type, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
101674
0
LOT/FSU number
101674
0
Round
101674
0
Indicates the NSS round number of this survey.
60
101674
Schedule Number
101674
0
Indicates the schedule number of this survey.
010
101674
Schedule Type
101674
0
1
50831
2
50843
Sample
101674
0
1
101674
Sector
101674
0
Sector : A word used for the rural-urban demarcation.
1
Rural
61720
2
Urban
39954
State-Region
101674
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
101674
0
01
Jammu & Kashmir
1970
02
Himachal Pradesh
1996
03
Punjab
2265
04
Chandigarh
677
05
Uttaranchal
783
06
Haryana
2292
07
Delhi
1335
08
Rajasthan
4617
09
Uttar Pradesh
13174
10
Bihar
5004
11
Sikkim
673
12
Arunachal Pradesh
1376
13
Nagaland
588
14
Manipur
3251
15
Mizoram
1704
16
Tripura
1565
17
Meghalaya
1185
18
Assam
3804
19
West Bengal
7365
20
Jharkhand
2351
21
Orissa
3195
22
Chhattisgarh
1686
23
Madhya Pradesh
4642
24
Gujrat
3824
25
Daman & Diu
262
26
Dadra & Nagar Haveli
236
27
Maharastra
7771
28
Andhra Pardesh
5282
29
Karnataka
4175
30
Goa
284
31
Lakshadweep
227
32
Kerala
5340
33
Tamil Nadu
6078
34
Pondicheri
359
35
Andaman & Nicober
338
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
101674
0
Stratum Number
101674
0
Sub-Round
101674
0
1
Sub round 1
51524
2
Sub round 2
50150
Sub-Sample
101674
0
1
Central sample
51058
2
State sample
50616
FOD Sub-Region
101674
0
Hamlet-Group/Sub-Block no.
101674
0
Second Stage Stratum
101674
0
HHS No.
101674
0
Level
101674
0
06
101674
Block 10 Item Code
101674
0
400
books, journals
16458
401
newspapers, periodicals
5548
402
library charges
574
403
stationery
17260
404
tuition and other fees (school, college, etc.)
13904
405
private tutor/coaching centre
4336
406
other educational expenses
8396
409
education: s.t. (400-406)
19880
410
medicine
3494
411
X-ray, ECG, pathological test, etc.
1918
412
doctor's/surgeon's fee
2159
413
hospital & nursing home charges
1755
414
other medical expenses
2101
419
medical - institutional: s.t. (410-414)
3891
Value (Rs. 0.00)
What was the value of the items consumed by the household in the last 365 days?
101674
0
1
300000
1885.143
5615.071
NSS
101674
0
NSC
101674
0
Multiplier
101674
0
9.75
245916
12000.664
13800.213
Sub sample Multiplier
101674
0
0.0975
2459.16
120.007
138.002
Combined Multiplier
101674
0
0.0488
1229.58
60.003
69.001
NSS
Wgt_Combined = MLT/200]]>
Key to identify a household
575976
0
This variable has been derived for identifying a household by combining FSU, Schedule type, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
575976
0
LOT/FSU number
575976
0
Round
575976
0
Indicates the NSS round number of this survey.
60
575976
Schedule Number
575976
0
Indicates the schedule number of this survey.
010
575976
Schedule Type
575976
0
1
290295
2
285681
Sample
575976
0
1
575976
Sector
575976
0
Sector : A word used for the rural-urban demarcation.
1
Rural
336029
2
Urban
239947
State-Region
575976
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
575976
0
01
Jammu & Kashmir
10005
02
Himachal Pradesh
10653
03
Punjab
12910
04
Chandigarh
3651
05
Uttaranchal
3801
06
Haryana
11236
07
Delhi
10414
08
Rajasthan
24905
09
Uttar Pradesh
71899
10
Bihar
27751
11
Sikkim
2950
12
Arunachal Pradesh
4767
13
Nagaland
2201
14
Manipur
11496
15
Mizoram
7559
16
Tripura
7129
17
Meghalaya
5140
18
Assam
19644
19
West Bengal
38923
20
Jharkhand
13589
21
Orissa
16350
22
Chhattisgarh
9248
23
Madhya Pradesh
27637
24
Gujrat
24966
25
Daman & Diu
1802
26
Dadra & Nagar Haveli
1667
27
Maharastra
46407
28
Andhra Pardesh
39504
29
Karnataka
29208
30
Goa
1831
31
Lakshadweep
1149
32
Kerala
25041
33
Tamil Nadu
45995
34
Pondicheri
2434
35
Andaman & Nicober
2114
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
575976
0
Stratum Number
575976
0
Sub-Round
575976
0
1
Sub round 1
287072
2
Sub round 2
288904
Sub-Sample
575976
0
1
Central sample
288721
2
State sample
287255
FOD Sub-Region
575976
0
Hamlet-Group/Sub-Block no.
575976
0
Second Stage Stratum
575976
0
HHS No.
575976
0
Level
575976
0
06
575976
Block 11 Item Code
575976
0
420
medicine
17717
421
X-ray, ECG, pathological test, etc.
756
422
doctor's/surgeon's fee
6396
423
family planning appliances
272
424
other medical expenses
859
429
medical - non-institutional: s.t. (420-424)
18044
430
cinema, theatre
2851
431
mela, fair, picnic
730
432
sports goods, toys, etc.
1340
433
club fees
135
434
goods for recreation and hobbies
161
435
photography
556
436
video cassette / V.C.R. / V.C.P.(hire)
653
437
cable TV
5845
438
other entertainment
1364
439
entertainment : s.t. (430-437)
10860
440
spectacles
177
441
torch
338
442
pen
3986
443
lock
357
444
umbrella, raincoat
511
445
lighter (bidi/cigarette/gas stove)
598
446
other goods for personal care and effects
2729
449
goods for personal care and effects: s.t. (440-446)
6893
450
toilet soap
28385
451
toothbrush, toothpaste, etc.
23082
452
powder, snow, cream, lotion
13050
453
hair oil, shampoo, hair cream
26850
454
comb
1716
455
shaving blades, shaving stick, razor
16672
456
shaving cream
4375
457
sanitary napkins
2543
458
other toilet articles
9929
459
toilet articles: s.t. (450-458)
29451
460
electric bulb, tubelight
5739
461
electric batteries
1891
462
other non-durable electric goods
201
463
earthenware
2442
464
glassware
473
465
bucket, water bottle/feeding bottle & other plastic goods
1524
466
coir, rope, etc.
888
467
washing soap/soda
28563
468
other washing requisites
13600
470
agarbati
20632
471
flower(fresh) : all purposes
4197
472
insecticide, acid, etc.
4093
473
other petty articles
8930
479
sundry articles: s.t. (460-473)
29434
480
domestic servant/cook
1422
481
sweeper
1338
482
barber, beautician, etc.
22970
483
washerman, laundry, ironing
4771
484
tailor
3392
485
priest
2861
486
legal expenses
158
487
postage & telegram
1901
488
telephone charges
12089
490
repair charges for non-durables
1384
491
grinding charges
15349
492
miscellaneous expenses
11263
493
pet animals (incl. birds, fish)
1069
494
other consumer services excluding conveyance
2815
499
consumer services excluding conveyance: s.t. (480-494)
28222
500
airfare
7
501
railway fare
1322
502
bus/tram fare
17757
503
taxi, auto-rickshaw fare
6074
504
steamer, boat fare
199
505
rickshaw (hand drawn & cycle) fare
2169
506
horse cart fare
345
507
porter charges
171
508
petrol
5154
511
lubricating oil
2083
512
school bus/van
598
513
other conveyance expenses
533
519
conveyance : s.t. (500-513)
23509
520
house rent, garage rent (actual)
3728
521
residential land rent
842
522
other consumer rent
254
529
rent: s.t. (520-522)
4779
539
house rent, garage rent (imputed- urban only)
6485
540
water charges
5989
541
other consumer taxes & cesses
8669
549
consumer taxes and cesses: s.t. (540-541)
11517
Value (Rs. 0.00)
What was the value of the items consumed by the household in the last 30 days?
575976
0
0.05
540100
109.847
785.22
NSS
575976
0
NSC
575976
0
Multiplier
575976
0
9.75
245916
12774.185
14083.367
Sub sample Multiplier
575976
0
0.0975
2459.16
127.742
140.834
Combined Multiplier
575976
0
0.0488
1229.58
63.871
70.417
NSS
Wgt_Combined = MLT/200]]>
Key to identify a household
292692
0
This variable has been derived for identifying a household by combining FSU, Schedule type, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
292692
0
LOT/FSU number
292692
0
Round
292692
0
Indicates the NSS round number of this survey.
60
292692
Schedule Number
292692
0
Indicates the schedule number of this survey.
010
292692
Schedule Type
292692
0
1
146721
2
145971
Sample
292692
0
1
292692
Sector
292692
0
Sector : A word used for the rural-urban demarcation.
1
Rural
172063
2
Urban
120629
State-Region
292692
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
292692
0
01
Jammu & Kashmir
6280
02
Himachal Pradesh
5494
03
Punjab
8508
04
Chandigarh
2155
05
Uttaranchal
2108
06
Haryana
6792
07
Delhi
5396
08
Rajasthan
12850
09
Uttar Pradesh
41427
10
Bihar
14704
11
Sikkim
1472
12
Arunachal Pradesh
2568
13
Nagaland
1711
14
Manipur
6784
15
Mizoram
1026
16
Tripura
3592
17
Meghalaya
3097
18
Assam
11143
19
West Bengal
18528
20
Jharkhand
6925
21
Orissa
9438
22
Chhattisgarh
5611
23
Madhya Pradesh
16258
24
Gujrat
13140
25
Daman & Diu
1020
26
Dadra & Nagar Haveli
1013
27
Maharastra
22059
28
Andhra Pardesh
15388
29
Karnataka
11191
30
Goa
965
31
Lakshadweep
774
32
Kerala
11848
33
Tamil Nadu
19530
34
Pondicheri
1056
35
Andaman & Nicober
841
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
292692
0
Stratum Number
292692
0
Sub-Round
292692
0
1
Sub round 1
144603
2
Sub round 2
148089
Sub-Sample
292692
0
1
Central sample
146613
2
State sample
146079
FOD Sub-Region
292692
0
Hamlet-Group/Sub-Block no.
292692
0
Second Stage Stratum
292692
0
HHS No.
292692
0
Level
292692
0
07
292692
Block 12 Item Code
292692
0
550
bedstead
25961
551
almirah, dressing table
14371
552
chair, stool, bench, table
514
553
suitcase, trunk, box, handbag and other travel goods
593
554
foam, rubber cushion (dunlopillo type)
61
555
carpet, daree & other floor mattings
112
556
paintings, drawings, engravings, etc.
73
557
other furniture & fixtures (couch, sofa, etc.)
206
559
furniture & fixtures: s.t. (550-557)
2610
560
gramophone & record player
342
561
radio
9791
562
television
14102
563
VCR/VCP/DVD
1585
564
camera & photographic equipment
33
565
tape recorder, CD player
6394
566
gramophone record, audio/video cassette, etc.
1141
567
musical instruments
53
568
other goods for recreation
110
569
goods for recreation: s.t. (560-568)
3005
570
gold ornaments
1345
571
silver ornaments
1536
572
jewels, pearls
67
573
other ornaments
1220
579
3453
580
stainless steel utensils
7459
581
other metal utensils
2337
582
casseroles, thermos, thermoware
236
583
other crockery & utensils
3616
589
crockery & utensils: s.t. (580-583)
10441
590
electric fan
16735
591
air conditioner, air cooler
2867
592
lantern, lamp, electric lampshade
213
593
sewing machine
5320
594
washing machine
1731
595
stove
13483
596
pressure cooker/pressure pan
12219
597
refrigerator
4942
598
electric iron, heater, toaster, oven & other electric heating appliances
377
600
other cooking/household appliances
870
609
cooking and household appliances: s.t. (590-600)
4835
610
bicycle
14251
611
motor cycle, scooter
5233
612
motor car, jeep
792
613
tyres & tubes
4590
614
other transport equipment
117
619
personal transport equipment: s.t. (610-614)
14786
620
glass eyes, hearing aids & orthopaedic equipment
227
621
other medical equipment
26
629
therapeutic appliances : s.t. (620-621)
224
630
clock, watch
23174
631
other machines for household work
40
632
personal computer
98
633
mobile handset
309
634
any other personal goods
181
639
other personal goods: s.t. (630-632)
3926
640
bathroom and sanitary equipment
296
641
plugs, switches & other electrical fittings
805
642
residential building & land (cost of repairs only)
11221
643
other durables (specify)…................
375
649
residential building, land and other durables : s.t. (640-643)
12064
659
23598
No. In use
How many durable items are being used by the household since last 365 days?
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. For certain items the entry cell has been shaded in this column; it means column (3) need not be filled in.
172851
119841
0
31
1.827
1.593
No. of First-hand purchase
How many first hand purchased durable items are being used by the household since last 365 days?
The number of each item of durable goods purchased (first-hand) for which some expenditure has been incurred during the reference period will be recorded in this column.
7059
285633
0
36
1.86
1.341
Whether Hire-purchase?
Whether the durable item that is being used is hire purchased by the household?
29817
0
1
yes
3338
2
no
26419
9
invalid
60
Value of First-hand purchase
What was the value of the first hand purchased item consumed by the household in the last 365 days?
Value of first-hand purchase during the reference period will be entered in this column. The total amount paid during the reference period will be recorded here.
69529
223163
0
412870
1522.212
8705.63
Cost of Raw material,service & repair
How much total cost did the household bear on raw materials, service and repairs.
97363
195329
0
1020000
822.176
6819.01
No. of Second-hand purchase
How many second hand purchased items are being used by the household since last 365 days?
The number of each item of second-hand durable goods purchased during the reference period will be recorded in this column. An imported item of durables, even if second-hand, will be treated as first-hand purchase and information will be recorded against the relevant columns.
185
292507
0
4
1.027
0.303
Value of Second-hand purchase
What was the value of the second hand purchased item consumed by the household in the last 365 days?
Value of second-hand purchase during the reference period will be entered in this column.
693
291999
0
700000
11503.104
51914.575
Total Expenditure
How much total expenditure was incurred by the household in the last 365 days?
It is the sum of value of first-hand purchase, cost of raw materials and services for construction and repair and value of the second-hand purchase. In other words, it means column (10) = column (6) + column (7) + column (9).
148507
144185
0
1116000
1305.387
9227.413
NSS
292692
0
NSC
292692
0
Multiplier
292692
0
9.75
245916
12061.174
13717.292
Sub sample Multiplier
292692
0
0.0975
2459.16
120.612
137.173
Combined Multiplier
292692
0
0.0488
1229.58
60.306
68.586
NSS
Wgt_Combined = MLT/200]]>