Survey Design Reearch Division
Field Operations Division
Data Processing Division
Computer Centre
Nesstar Explorer
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]
HouseholdConsumer Expenditure61st RoundSchedule 1July 2004 - June 2005Sample Design
Outline of sample design: A stratified multi-stage design has been adopted for the 61st round survey. The first stage units (FSU) were the 2001 census villages in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) were households in both the sectors. In case of large villages/blocks requiring hamlet-group (hg)/sub-block (sb) formation, one intermediate stage was the selection of two hgs/sbs from each FSU.
Sampling Frame for First Stage Units: For the rural sector, the list of 2001 census villages (panchayat wards for Kerala) constituted the sampling frame. For the urban sector, the list of latest available Urban Frame Survey (UFS) blocks were considered as the sampling frame.
Stratification: 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. However, if there are one or more towns with population 10 lakhs or more as per population census 2001 in a district, each of them also formed a separate basic stratum and the remaining urban areas of the district were considered as another basic stratum. There were 27 towns with population 10 lakhs or more at all-India level as per census 2001.
Sub-stratification:
Rural sector: If ‘r’ be the sample size allocated for a rural stratum, the number of sub-strata formed were ‘r/2’. The villages within a district as per frame were first arranged in ascending order of population. Then sub-strata 1 to ‘r/2’ were demarcated in such a way that each sub-stratum comprised a group of villages of the arranged frame and had more or less equal population.
Urban sector: If ‘u’ be the sample size for a urban stratum, ‘u/2’ number of sub-strata were formed. The towns within a district, except those with population 10 lakhs or more, were first arranged in ascending order of population. Next, UFS blocks of each town were arranged by IV unit no. × block no. in ascending order. From this arranged frame of UFS blocks of all the towns, ‘u/2’ number of sub-strata were formed in such a way that each sub-stratum had more or less equal number of UFS blocks.
For towns with population 10 lakhs or more, the urban blocks were first arranged by IV unit no. × block no. in ascending order. Then ‘u/2’ number of sub-strata were formed in such a way that each sub-stratum had more or less equal number of blocks.
Total sample size (FSUs): 12984 FSUs have been allocated at all-India level on the basis of investigator strength in different States/UTs for central sample and 14104 for state sample.
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 & 12_ Identification of sample household and perception of household regarding sufficiency of food.NSDstat
This file contains information regarding identification of sample household and perception of household regarding sufficiency of food.
124644
44
Nesstar 200801
Block 3 Part 1_Household Characteristics.NSDstat
This file contains information about household characteristics.
124644
40
Nesstar 200801
Block 3 Part 2_Household Characteristics.NSDstat
This file contains information about household characteristics.
124644
38
Nesstar 200801
Block 4_Person records.NSDstat
This file contains information about demographic and other particulars of household members.
609736
38
Nesstar 200801
Block 5_Monthly consumption of food, pan, tobacco and intoxicants.NSDstat
This file contains information about monthly consumption of food, pan, tobacco and intoxicants.
5741182
30
Nesstar 200801
Block 6_Monthly consumption of fuel & light.NSDstat
This file contains information about monthly consumption of fuel & light.
637880
30
Nesstar 200801
Block 7_Consumption of clothing.NSDstat
This file contains information about consumption of clothing, bedding, etc.
1076660
29
Nesstar 200801
Block 8_Consumption of footwear.NSDstat
This file contains information about consumption of footwear.
368588
29
Nesstar 200801
Block 9_Expenditure on education and medical (institutional) goods and services.NSDstat
This file contains information about expenditure on education and medical (institutional) goods and services.
400104
27
Nesstar 200801
Block 10_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.
2378390
26
Nesstar 200801
Block 11_Expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use.NSDstat
This file contains information about expenditure for purchase and construction (including repair and maintenance) of durable goods for domestic use.
1625391
37
Nesstar 200801
Geographical identifiers
Primary key - unique identifier for a household - FSU,HG,SSS,HHNo
124644
0
This is a Primary key - unique identifier for a household. This variable has been derived for identifying a household by combining FSU, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
124644
0
LOT/FSU number
124644
0
Round
124644
0
Indicates the NSS round number of this survey.
61
124644
Schedule Number
124644
0
Indicates the schedule number of this survey.
010
124644
Sample
124644
0
1
124644
Sector
124644
0
Sector : A word used for the rural-urban demarcation.
1
Rural
79298
2
Urban
45346
State-Region
124644
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
124644
0
01
Jammu & Kashmir
2766
02
Himachal Pradesh
2543
03
Punjab
4288
04
Chandigarh
380
05
Uttaranchal
2215
06
Haryana
2720
07
Delhi
1160
08
Rajasthan
5171
09
Uttar Pradesh
11213
10
Bihar
5752
11
Sikkim
1120
12
Arunachal Pradesh
2043
13
Nagaland
1280
14
Manipur
3177
15
Mizoram
1912
16
Tripura
2320
17
Meghalaya
1596
18
Assam
4250
19
West Bengal
7877
20
Jharkhand
3419
21
Orissa
5023
22
Chhattisgarh
2796
23
Madhya Pradesh
5913
24
Gujrat
4275
25
Daman & Diu
160
26
Dadra & Nagar Haveli
240
27
Maharastra
10007
28
Andhra Pardesh
8431
29
Karnataka
5107
30
Goa
398
31
Lakshadweep
199
32
Kerala
5250
33
Tamil Nadu
8296
34
Pondicheri
720
35
Andaman & Nicober
627
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
124644
0
Stratum Number
124644
0
Sub-Stratum
124644
0
Sub-Round
124644
0
1
Sub round 1
31027
2
Sub round 2
31165
3
Sub round 3
31222
4
Sub round 4
31230
Sub-Sample
124644
0
1
Central sample
62373
2
State sample
62271
FOD Sub-Region
124644
0
Hamlet-Group/Sub-Block no.
124644
0
Second Stage Stratum
124644
0
HHS No.
124644
0
Level
124644
0
01
124644
Sl.No. of informant
124585
0
Response Code
This item is to be filled in at the end of the interview. It is meant to classify the informant according to the degree of his co-operation as well as his capability to provide the required information.
124630
0
1
93459
2
informant : cooperative but not capable
27881
3
informant : busy
1592
4
informant : reluctant
1413
9
others
285
Survey Code
124644
0
1
original
121271
2
substitute
3373
3
casualty
0
Substitution Code
For an originally selected sample household which could not be surveyed, the reason for not surveying the original household will be recorded against this item in code, irrespective of whether a substitute household could be surveyed or not.
3373
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
161
2
members away from home
2564
3
informant non-cooperative
451
9
others
197
Date of Survey
124628
0
Date of Despatch
124100
0
Time to canvass(mins.)
124465
0
Get enough food everyday
124446
0
1
yes: throughout the year
122637
2
some months of the year
1385
3
no
423
5
invalid
1
Month not getting enough food
If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food every day will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food every day in the months of January and March during the reference period. The entries to be made are 01 & 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
1191
0
01
Jan
69
02
Feb
34
03
Mar
45
04
Apr
140
05
May
151
06
June
193
07
July
291
08
Aug
120
09
Sep
78
10
Oct
51
11
Nov
11
12
Dec
8
Month not getting enough food
If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food every day will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food every day in the months of January and March during the reference period. The entries to be made are 01 & 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
1088
0
01
Jan
5
02
Feb
61
03
Mar
19
04
Apr
47
05
May
132
06
June
131
07
July
179
08
Aug
276
09
Sep
109
10
Oct
73
11
Nov
50
12
Dec
6
Month not getting enough food
If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food every day will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food every day in the months of January and March during the reference period. The entries to be made are 01 & 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
621
0
01
Jan
5
02
Feb
0
03
Mar
45
04
Apr
8
05
May
35
06
June
88
07
July
87
08
Aug
134
09
Sep
129
10
Oct
52
11
Nov
20
12
Dec
18
Month not getting enough food
If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food every day will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food every day in the months of January and March during the reference period. The entries to be made are 01 & 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
270
0
01
Jan
1
02
Feb
5
03
Mar
3
04
Apr
49
05
May
2
06
June
14
07
July
48
08
Aug
44
09
Sep
42
10
Oct
35
11
Nov
17
12
Dec
10
Month not getting enough food
If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food every day will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food every day in the months of January and March during the reference period. The entries to be made are 01 & 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
159
0
01
Jan
2
02
Feb
0
03
Mar
6
04
Apr
2
05
May
66
06
June
4
07
July
12
08
Aug
28
09
Sep
17
10
Oct
7
11
Nov
6
12
Dec
9
Month not getting enough food
If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food every day will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food every day in the months of January and March during the reference period. The entries to be made are 01 & 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
135
0
01
Jan
6
02
Feb
3
03
Mar
0
04
Apr
1
05
May
2
06
June
77
07
July
8
08
Aug
11
09
Sep
9
10
Oct
6
11
Nov
6
12
Dec
6
Month not getting enough food
If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food every day will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food every day in the months of January and March during the reference period. The entries to be made are 01 & 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
153
0
01
Jan
2
02
Feb
5
03
Mar
1
04
Apr
0
05
May
0
06
June
3
07
July
117
08
Aug
9
09
Sep
4
10
Oct
4
11
Nov
4
12
Dec
4
Month not getting enough food
If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food every day will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food every day in the months of January and March during the reference period. The entries to be made are 01 & 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
116
0
01
Jan
0
02
Feb
0
03
Mar
1
04
Apr
1
05
May
0
06
June
0
07
July
4
08
Aug
97
09
Sep
4
10
Oct
3
11
Nov
2
12
Dec
4
Month not getting enough food
If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food every day will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food every day in the months of January and March during the reference period. The entries to be made are 01 & 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
66
0
01
Jan
0
02
Feb
0
03
Mar
0
04
Apr
0
05
May
2
06
June
0
07
July
0
08
Aug
1
09
Sep
53
10
Oct
6
11
Nov
3
12
Dec
1
Month not getting enough food
If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food every day will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food every day in the months of January and March during the reference period. The entries to be made are 01 & 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
24
0
01
Jan
0
02
Feb
0
03
Mar
0
04
Apr
0
05
May
0
06
June
1
07
July
0
08
Aug
1
09
Sep
3
10
Oct
17
11
Nov
2
12
Dec
0
Month not getting enough food
If adequate food was available in only some months of the year i.e. if code 2 is recorded in item 1, those calendar months in which all members of the household did not have enough food every day will be recorded in the cells provided against item 2 in codes. For example, suppose all members of a sample household did not have enough food every day in the months of January and March during the reference period. The entries to be made are 01 & 03 in the first two cells of the first row out of the 11 cells provided in the block against item 2.
17
0
01
Jan
1
02
Feb
0
03
Mar
0
04
Apr
0
05
May
0
06
June
0
07
July
2
08
Aug
0
09
Sep
1
10
Oct
0
11
Nov
10
12
Dec
3
Information actually obtained?
124376
0
1
Yes
55354
2
No
69015
9
invalid
7
NSS
124644
0
NSC
124644
0
Multiplier
124644
0
2.77
108639.51
3318.078
3972.299
Sub Sample Multiplier
124644
0
0.0277
1086.395
33.181
39.723
Combined Multiplier
124644
0
0.0138
543.198
16.616
19.875
Primary key - unique identifier for a household
124644
0
This is a Primary key - unique identifier for a household. This variable has been derived for identifying a household by combining FSU, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
124644
0
LOT/FSU number
124644
0
Round
124644
0
Indicates the NSS round number of this survey.
61
124644
Schedule Number
124644
0
Indicates the schedule number of this survey.
010
124644
Sample
124644
0
1
124644
Sector
124644
0
Sector : A word used for the rural-urban demarcation.
1
Rural
79298
2
Urban
45346
State-Region
124644
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
124644
0
01
Jammu & Kashmir
2766
02
Himachal Pradesh
2543
03
Punjab
4288
04
Chandigarh
380
05
Uttaranchal
2215
06
Haryana
2720
07
Delhi
1160
08
Rajasthan
5171
09
Uttar Pradesh
11213
10
Bihar
5752
11
Sikkim
1120
12
Arunachal Pradesh
2043
13
Nagaland
1280
14
Manipur
3177
15
Mizoram
1912
16
Tripura
2320
17
Meghalaya
1596
18
Assam
4250
19
West Bengal
7877
20
Jharkhand
3419
21
Orissa
5023
22
Chhattisgarh
2796
23
Madhya Pradesh
5913
24
Gujrat
4275
25
Daman & Diu
160
26
Dadra & Nagar Haveli
240
27
Maharastra
10007
28
Andhra Pardesh
8431
29
Karnataka
5107
30
Goa
398
31
Lakshadweep
199
32
Kerala
5250
33
Tamil Nadu
8296
34
Pondicheri
720
35
Andaman & Nicober
627
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
124644
0
Stratum Number
124644
0
Sub-Stratum
124644
0
Sub-Round
124644
0
1
Sub round 1
31027
2
Sub round 2
31165
3
Sub round 3
31222
4
Sub round 4
31230
Sub-Sample
124644
0
1
Central sample
62373
2
State sample
62271
FOD Sub-Region
124644
0
Hamlet-Group/Sub-Block no.
124644
0
Second Stage Stratum
124644
0
HHS No.
124644
0
Level
124644
0
02
124644
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 stay-aways 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.
124644
0
1
43
4.892
2.522
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 description of the principal industry should be recorded in as specific terms as possible based on the description given by the informant. In other words, the industry description should not be copied from the NIC booklet if the informant's description gives a clearer idea of the industrial activity which determines the principal industry of the household. The entry cell for item 2 has been split into five parts 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.
116852
0
01111
35242
01112
800
01113
1098
01114
63
01115
679
01116
321
01117
5
01119
211
0111x
7
01121
476
01122
179
01131
64
01132
465
01133
983
01134
538
01135
270
011xx
2
01211
864
01212
136
01213
80
01214
2
01221
25
01222
62
01223
4
01224
25
01229
5
01300
10
01401
9
01402
3
01403
39
01404
65
01405
22
01406
37
01407
2
01409
69
01500
5
01xxx
2
02001
57
02002
83
02003
8
02004
146
02005
66
02006
18
02xxx
3
05001
254
05002
174
05003
4
05004
54
05005
24
05xxx
1
10101
131
10102
297
1010x
1
10200
20
11101
26
11102
8
111xx
3
11201
10
11202
3
11xxx
1
13100
45
13201
29
13202
3
13203
4
13204
1
13206
2
13209
1
13xxx
1
14101
17
14102
36
14103
148
14105
2
14106
167
14107
32
14108
13
1410x
5
14212
2
14220
10
14292
14
14293
1
14297
1
14299
4
15111
73
15112
31
15113
8
15114
23
15116
3
15121
3
15122
1
15124
8
15125
2
15127
2
15131
3
15134
3
15135
1
15136
12
15138
3
15139
2
15141
6
15142
39
15143
12
15146
4
15147
1
15201
12
15202
2
15203
24
15204
24
15205
19
15209
8
15311
322
15312
268
15313
14
15314
30
15315
2
15316
104
15317
4
15319
11
15321
2
15322
6
15323
2
15326
3
15331
9
15332
5
15339
1
153xx
1
15411
41
15412
47
15419
30
15421
89
15422
24
15423
1
15424
17
15426
1
15427
2
15429
1
15431
1
15432
16
15433
175
15440
6
15491
27
15492
5
15493
54
15494
4
15495
14
15496
33
15497
24
15499
36
15511
4
15512
46
15520
11
15531
2
15532
10
15533
1
15541
31
15543
8
15544
7
15549
9
16001
12
16002
471
16003
6
16004
5
16006
2
16007
2
16008
5
16009
12
16xxx
1
17111
141
17112
30
17113
4
17114
14
17115
472
17116
207
17117
33
17118
69
17119
57
1711x
1
17121
80
17122
7
17123
4
17124
31
17125
3
171xx
1
17211
16
17212
2
17213
1
17214
33
17215
2
17219
15
17221
26
17222
58
17223
61
17224
19
17225
6
17226
46
17229
3
17231
21
17232
26
17233
22
17234
7
17235
3
17236
6
17239
1
17291
103
17292
61
17294
2
17295
1
17296
1
17297
7
17298
1
17299
6
17301
58
17302
42
17303
2
17309
2
18101
593
18102
5
18103
1
18104
3
18105
948
18109
146
18201
14
18204
8
18209
1
18xxx
1
19111
14
19112
16
19113
11
19115
1
19116
6
19119
5
19121
25
19122
14
19123
2
19129
9
19201
133
19202
17
20101
129
20103
1
201xx
1
20211
41
20212
8
20213
2
20219
2
20221
747
20222
4
20231
14
20232
4
20233
247
20239
83
20291
5
20293
119
20294
19
20295
158
20296
46
20297
41
20298
2
20299
58
202xx
1
20xxx
1
21011
6
21012
59
21013
5
21014
9
21015
8
21016
1
21021
10
21022
29
21023
9
21029
9
21093
5
21094
1
21097
3
21098
3
21099
1
22110
13
22121
49
22122
7
22130
1
22190
14
22211
24
22212
51
22213
4
22219
98
22221
5
22222
19
23101
4
23109
7
23201
24
23203
3
23209
5
23300
1
24111
9
24112
8
24113
1
24114
12
24115
1
24116
6
24117
11
24119
10
24121
6
24122
3
24123
28
24124
2
24129
4
24132
6
24134
1
24139
2
24211
4
24219
5
24222
12
24223
3
24224
1
24229
2
2422x
1
24231
22
24232
81
24233
16
24234
5
24235
2
24236
3
24241
19
24242
1
24243
14
24244
3
24245
1
24246
7
24247
4
24248
23
24249
6
24291
29
24292
39
24293
3
24294
1
24295
5
24296
2
24297
4
24298
6
24299
7
24302
7
24303
1
24304
1
24306
1
25111
15
25112
12
25114
19
25119
3
25191
11
25192
5
25193
2
25199
13
25201
7
25202
31
25203
6
25204
8
25205
3
25206
10
25207
15
25209
72
25xxx
2
26101
12
26103
16
26104
1
26105
2
26106
14
26107
6
26109
5
26911
238
26912
9
26913
1
26914
9
26915
6
26919
1
26921
45
26922
2
26931
412
26932
4
26933
37
26939
55
26941
15
26942
58
26943
2
26944
17
26945
10
26951
2
26952
1
26953
2
26954
14
26955
3
26956
21
26957
1
26959
10
26960
170
26991
3
26992
1
26993
9
26994
4
26999
3
27101
5
27102
10
27103
8
27104
61
27105
12
27106
35
27107
14
27108
19
27109
17
27201
11
27202
20
27203
39
27204
3
27205
37
27209
1
27310
31
27320
4
28111
222
28112
38
28113
22
28121
4
28122
9
28123
11
28129
10
28131
1
281xx
1
28910
35
28920
43
28931
59
28932
237
28933
16
28939
91
28991
44
28992
9
28993
8
28994
9
28995
22
28996
25
28997
12
28998
2
28999
54
28xxx
1
29111
1
29112
5
29113
19
29119
16
29120
46
29130
32
29141
1
29142
1
29150
10
29191
3
29192
8
29193
1
29195
2
29196
1
29197
3
29199
10
29211
24
29212
54
29214
25
29219
23
29221
13
29222
3
29223
4
29224
2
29225
1
29242
2
29244
6
29246
5
29248
2
29254
2
29256
2
29261
7
29262
2
29263
2
29264
3
29265
6
29268
8
29269
1
29270
31
29292
2
29293
1
29294
4
29295
1
29297
4
29299
7
29301
2
29302
3
29303
4
29304
2
29305
4
29306
6
29307
1
29308
9
29309
7
30004
1
30006
5
30007
4
30008
2
30xxx
5
31101
7
31102
15
31103
23
31104
5
31109
4
311xx
1
31200
19
31300
21
31401
2
31402
9
31404
8
31501
5
31503
1
31504
1
31505
2
31506
8
31901
3
31902
3
31903
3
31904
1
31908
1
31909
26
32101
5
32102
2
32103
1
32104
1
32106
3
32107
1
32109
10
32201
2
32202
1
32203
1
32204
3
32209
2
32301
3
32302
1
32304
2
32305
3
32308
2
33112
2
33113
1
33119
3
33121
1
33122
1
33123
2
33125
2
33127
1
33129
1
33202
7
33205
1
33208
1
33301
6
33302
5
33xxx
1
34101
16
34102
31
34103
15
34104
10
34106
1
3410x
1
34201
23
34202
11
34300
102
35111
26
35112
12
35113
2
35117
1
35201
16
35202
7
35203
4
35204
1
35301
12
35303
12
35911
9
35912
7
35914
17
35921
5
35923
6
35991
3
35999
1
35xxx
2
36101
498
36102
30
36103
1
36104
6
36109
15
36911
397
36912
125
36920
7
36931
3
36932
2
36934
1
36939
2
36941
2
36942
6
36991
14
36992
4
36993
12
36995
1
36996
37
36997
6
36998
24
36999
73
36xxx
1
37100
6
37200
8
40101
179
40102
86
40103
15
40104
5
40105
12
40107
2
40108
6
40109
417
40200
17
40300
1
41000
186
45101
15
45102
23
451xx
1
45201
7002
45202
499
45203
764
45204
21
45205
80
45206
7
45207
4
45208
6
45209
153
4520x
1
452xx
4
45301
124
45302
5
45303
149
45309
7
45401
60
45402
331
45403
79
45500
3
45xxx
4
50101
13
50102
5
50103
13
50200
343
502xx
2
50300
95
50401
28
50402
5
50403
6
50404
193
5040x
1
50500
56
50xxx
1
51101
182
51102
46
51103
10
51109
82
51211
328
51212
15
51213
101
51214
31
51215
7
51216
10
51219
31
5121x
1
51221
123
51222
59
51223
45
51224
43
51225
37
51226
19
51227
15
51228
11
51229
18
512xx
2
51311
96
51312
10
5131x
1
51391
19
51392
10
51393
5
51394
2
51395
9
51396
18
51397
71
51398
6
51399
18
51410
26
51420
12
51431
32
51432
65
51433
18
51434
2
51491
15
51493
3
51494
6
51495
8
51496
19
51497
17
51498
154
514xx
1
51501
8
51502
13
51503
4
51504
2
51505
21
51506
4
51507
3
51901
1
51909
45
52110
894
5211x
1
52190
157
521xx
4
52201
3344
52202
1545
52203
462
52204
119
52205
294
52206
75
52207
650
52208
101
52209
220
5220x
2
522xx
4
52311
333
52312
179
5231x
1
52321
642
52322
469
52323
181
52324
28
52331
107
52332
124
52333
36
52334
105
52335
140
52339
97
52341
169
52342
222
52343
12
5234x
2
52391
28
52392
15
52393
149
52394
22
52395
226
52396
166
52397
97
52398
40
52399
303
523xx
1
52400
87
52510
13
52520
89
52591
33
52599
323
525xx
2
52601
147
52602
181
52603
174
52604
82
52605
290
52609
141
5260x
1
52xxx
6
55101
189
55102
27
55103
20
55104
22
55109
3
551xx
1
55201
203
55202
1017
55203
74
55204
128
55205
5
55209
655
5520x
1
55xxx
2
60100
587
60210
635
6021x
2
60221
1971
60222
946
6022x
5
60231
1785
60232
843
602xx
3
60300
4
603xx
1
61100
49
611xx
1
61200
20
62100
22
621xx
1
62200
2
622xx
1
63011
40
63012
23
63013
5
63021
46
63022
14
63023
19
63031
15
63032
29
63040
37
63090
31
64110
305
6411x
1
64120
43
64201
316
64202
32
64203
61
64204
41
65110
104
6511x
1
65191
539
65192
20
65910
10
65921
15
65922
8
65923
35
65929
48
65991
2
65992
33
65993
6
65999
48
66010
195
66020
17
66030
19
67110
3
67120
20
67190
27
67200
17
70101
62
70102
4
70103
2
70104
7
70105
1
70109
7
7010x
1
70200
47
71110
20
7111x
3
71130
1
71210
7
71220
12
71290
4
71301
142
71302
8
71309
17
71xxx
1
72100
6
72200
94
7220x
1
72300
19
72400
14
72501
11
72502
2
72900
18
73100
26
73200
1
74110
234
74120
92
74130
9
74140
25
7414x
1
74210
15
74220
4
742xx
1
74300
28
74910
16
74920
71
74930
6
74940
106
74950
7
74991
3
74992
29
74993
47
74994
9
74995
3
74999
129
75111
536
75112
4011
75113
619
7511x
3
75121
38
75122
196
75123
100
7512x
1
75131
45
75132
123
75133
35
75141
68
75142
147
75143
73
75144
28
751xx
2
75210
3
75220
211
7522x
2
75231
108
75232
879
7523x
1
752xx
2
75301
8
75302
44
80101
2928
80102
34
8010x
3
801xx
2
80211
1879
80212
18
8021x
2
80221
102
80222
2
802xx
4
80301
370
80302
114
8030x
1
80901
6
80902
2
80903
59
80904
180
80xxx
3
85110
719
85120
258
85191
67
85192
15
85193
64
85194
131
85195
35
85196
1
85199
43
851xx
1
85200
108
85310
56
85320
63
85xxx
2
90001
46
90002
27
90009
64
90xxx
2
91110
3
91120
36
91200
2
91910
586
91920
36
9192x
1
91990
40
92111
9
92112
3
92113
5
92114
5
92120
40
92131
11
92132
26
92141
31
92142
74
92199
28
92200
15
9220x
1
92311
6
92312
5
92321
1
9233x
1
92411
4
92412
3
92413
2
92419
6
92490
50
93010
587
93020
878
93030
14
93090
474
9309x
1
93xxx
1
95001
507
95002
34
95003
15
95004
88
95005
34
95009
150
9500x
418
95xxx
7
99000
2
NCO Code(3-digit)
Which occupation are the members in?
The description of the principal household occupation will be recorded in the space provided. As in case of principal household industry, the description of the principal occupation, too, should be recorded in as specific terms as possible based on the description given by the informant. In other words, the occupation description should not be copied from the NCO booklet if the informant's description gives a clearer idea of the principal occupation pursued by the household. 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.
116867
0
000
3
001
7
002
1
003
1
009
3
010
25
01x
3
020
12
021
169
022
107
023
70
024
14
025
1
026
8
027
3
028
26
029
32
030
35
031
65
032
104
033
45
034
8
035
4
036
6
037
14
039
55
040
4
041
1
042
1
043
4
044
2
050
4
051
14
052
2
053
28
059
2
060
15
070
277
071
63
072
64
073
13
074
9
075
40
076
70
078
34
079
46
080
78
081
5
082
39
083
39
084
137
085
66
086
12
087
5
089
176
099
28
101
4
103
36
104
23
109
2
110
1
111
10
119
1
11x
3
120
234
121
9
129
58
130
2
131
4
133
1
134
11
135
6
136
9
137
63
139
3
140
190
141
12
142
16
149
25
150
265
151
1259
152
780
153
2383
154
176
155
39
156
21
159
273
15x
1
160
1
161
31
169
11
16x
1
170
10
171
37
172
5
173
74
179
14
180
71
181
6
182
4
183
4
189
31
190
351
191
206
192
47
193
8
199
27
200
4
201
11
202
35
209
3
210
69
211
201
212
19
213
21
219
17
21x
1
220
199
221
1201
229
81
230
145
231
20
239
33
240
40
241
417
242
23
243
1379
249
203
250
584
251
38
252
5
259
227
25x
2
260
444
261
74
269
635
26x
1
28x
1
299
201
29x
3
300
367
301
240
302
317
309
185
30x
1
310
244
31x
1
320
62
321
53
323
1
329
13
330
326
331
158
339
31
340
9
341
43
349
91
34x
1
350
1806
351
140
352
28
353
18
354
14
355
1
356
25
357
31
358
1675
359
103
360
28
361
96
369
55
370
22
371
203
379
39
37x
3
380
156
381
52
389
56
390
89
391
5
392
19
399
43
400
730
401
8357
409
136
40x
6
410
96
411
23
412
210
419
88
41x
2
420
47
421
10
429
6
430
1187
431
1699
439
304
440
136
441
41
442
46
443
237
445
1
449
40
450
29
451
17
459
9
499
74
500
771
50x
1
510
33
51x
3
520
456
521
216
522
18
529
294
52x
5
530
179
531
500
539
101
540
37
541
607
542
73
549
68
550
478
551
67
559
38
55x
1
560
872
570
29
571
913
572
23
573
268
574
811
579
67
590
20
591
4
599
140
600
30
601
16
602
9
603
4
604
7
605
4
609
13
610
26975
611
1052
619
48
61x
1
620
834
621
405
622
596
623
29
624
15
625
128
629
51
630
11449
63x
1
640
719
641
116
649
40
64x
2
650
57
651
110
652
135
659
31
65x
1
660
143
661
65
662
87
663
15
669
47
66x
1
670
1
671
7
679
8
680
138
681
233
682
2
689
94
710
49
711
98
712
123
713
26
714
5
715
48
716
6
717
14
718
11
719
117
720
24
721
12
722
7
723
11
724
17
725
23
726
1
727
3
728
12
729
62
730
6
731
9
732
77
733
4
734
17
739
18
740
24
741
16
742
4
743
5
744
1
745
5
749
65
750
41
751
26
752
126
753
14
754
44
755
671
756
105
757
65
758
40
759
121
760
6
761
12
762
1
769
5
770
28
771
362
772
17
773
66
774
89
775
24
776
19
777
269
778
57
779
41
780
11
781
5
782
1
784
424
789
14
790
25
791
1424
792
6
794
13
795
176
796
13
799
171
800
4
801
209
802
22
809
38
80x
1
810
28
811
1506
812
14
813
17
814
1
815
10
816
1
819
134
820
8
821
128
829
32
830
24
831
297
832
5
833
25
834
6
835
234
836
32
839
107
840
49
841
45
842
134
843
410
844
11
845
588
849
71
850
67
851
460
852
28
853
26
854
116
855
122
856
47
857
308
859
120
860
11
861
8
862
18
869
11
870
20
871
210
872
211
873
31
874
32
879
52
880
19
881
397
882
8
883
8
889
67
890
13
891
22
892
266
893
23
894
2
895
6
899
54
900
15
901
34
902
13
903
44
909
23
910
16
911
22
919
15
91x
1
920
12
921
19
922
6
923
66
924
1
925
4
926
9
927
24
928
22
929
47
930
8
931
400
932
52
939
62
93x
1
940
29
941
14
942
307
943
32
949
523
950
207
951
2216
952
107
953
77
954
7
955
72
957
17
958
74
959
2387
960
7
961
82
962
9
963
46
969
26
970
312
971
571
972
7
973
17
974
33
975
23
976
85
979
83
980
54
981
94
982
2
983
64
984
4
985
68
986
2901
987
278
988
1129
989
466
999
4506
99x
17
X01
2
X02
7
X09
1
X10
41
X99
33
Household type
124516
0
Household type with sector
124644
0
11
self-employed in non-agriculture - rural
17822
12
agricultural labour - rural
11554
13
8621
14
self-employed in agriculture - rural
27936
19
Others - rural
13293
20
invalid
128
21
self-employed - urban
17742
22
regular wage/salary earning - urban
17454
23
casual labour - urban
5735
29
Others - urban
4359
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.
124633
0
1
Hinduism
95242
2
Islam
14790
3
Christianity
8571
4
Sikhism
2993
5
Jainism
393
6
Buddhism
1328
7
Zoroastrianism
28
9
Others
1288
Social Group
Which social group does the household belong to?
124603
0
1
Scheduled Tribe
16410
2
Scheduled Caste
20065
3
Other Backward Class
46236
9
Others
41892
Whether owns any land?
Whether household owns any land?
It is to be ascertained whether the household owns any land or not as on the date of survey.
124581
0
1
yes
106223
2
no
18358
Type of land owned
What type of land is owned by the household?
106223
0
1
home¬stead only
47442
2
homestead and other land
57703
3
other land only
1078
Land-Owned and possessed (0.000 ha)
How much land is owned and possessed by the household?
106651
17993
0
9120.267
1.097
41.524
Land- Leased-in (0.000 ha)
How much land is leased in by the household?
24434
100210
0
34
0.225
0.782
Land-Neither owned nor leased-in (0.000 ha)
How much land is neither owned or leased in by the household?
7694
116950
0
20.019
0.11
0.546
Land-Leased-out (0.000 ha)
How much land is leased out by the household?
8764
115880
0
25.115
0.734
1.549
How much total land is possessed by the household?
123144
1500
0
9120.267
0.949
38.645
During july03-june-04--Cultivated (0.000 ha)
How much land was cultivated by the household during July 2003 and June 2004?
57958
66686
0
1618.8
1.325
7.13
Land cultivated is defined as the net sown area* during the agricultural year 2003-04 i.e., July 2003 to June 2004.
During july03-june-04--Irrigated (0.000 ha)
How much land was irrigated by the household during July 2003 and June 2004?
34631
90013
0
404.7
1.038
2.85
NSS
124644
0
NSC
124644
0
Multiplier
124644
0
2.77
108639.51
3318.078
3972.299
Sub Sample Multiplier
124644
0
0.0277
1086.395
33.181
39.723
Combined Multiplier
124644
0
0.0138
543.198
16.616
19.875
Primary key - unique identifier for a household
124644
0
This is a Primary key - unique identifier for a household. This variable has been derived for identifying a household by combining FSU, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
124644
0
LOT/FSU number
124644
0
Round
124644
0
Indicates the NSS round number of this survey.
61
124644
Schedule Number
124644
0
Indicates the schedule number of this survey.
010
124644
Sample
124644
0
1
124644
Sector
124644
0
Sector : A word used for the rural-urban demarcation.
1
Rural
79298
2
Urban
45346
State-Region
124644
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
124644
0
01
Jammu & Kashmir
2766
02
Himachal Pradesh
2543
03
Punjab
4288
04
Chandigarh
380
05
Uttaranchal
2215
06
Haryana
2720
07
Delhi
1160
08
Rajasthan
5171
09
Uttar Pradesh
11213
10
Bihar
5752
11
Sikkim
1120
12
Arunachal Pradesh
2043
13
Nagaland
1280
14
Manipur
3177
15
Mizoram
1912
16
Tripura
2320
17
Meghalaya
1596
18
Assam
4250
19
West Bengal
7877
20
Jharkhand
3419
21
Orissa
5023
22
Chhattisgarh
2796
23
Madhya Pradesh
5913
24
Gujrat
4275
25
Daman & Diu
160
26
Dadra & Nagar Haveli
240
27
Maharastra
10007
28
Andhra Pardesh
8431
29
Karnataka
5107
30
Goa
398
31
Lakshadweep
199
32
Kerala
5250
33
Tamil Nadu
8296
34
Pondicheri
720
35
Andaman & Nicober
627
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
124644
0
Stratum Number
124644
0
Sub-Stratum
124644
0
Sub-Round
124644
0
1
Sub round 1
31027
2
Sub round 2
31165
3
Sub round 3
31222
4
Sub round 4
31230
Sub-Sample
124644
0
1
Central sample
62373
2
State sample
62271
FOD Sub-Region
124644
0
Hamlet-Group/Sub-Block no.
124644
0
Second Stage Stratum
124644
0
HHS No.
124644
0
Level
124644
0
03
124644
Dwelling unit code
Do you own the dwelling unit? Or is it hired or otherwise occupied?
124605
0
1
Owned
103328
2
Hired
15792
3
No dwelling unit
65
9
Others
5420
Cooking code
What is the primary source of energy that is being used by the household for cooking?
124337
0
01
2017
02
70710
03
35281
04
229
05
6377
06
charcoal
123
07
4976
08
electricity
141
09
2261
10
No cooking arrangement
2222
Lighting code
What is the primary source of energy that is being used by the household for lighting?
124583
0
1
kerosene
31774
2
other oil
163
3
gas
73
4
candle
119
5
electricity
91815
6
No lighting arrangement
219
9
others
420
Regular salary income?
Is any member of the household a regular salary earner?
The distinction between a casual wage labourer and a regular salary earner lies in whether a daily or periodic renewal of work contract takes place in the normal course of employment or not. A daily or periodic renewal of the work contract is a normal feature of a casual wage labourer's employment, but not of a regular salary earner. Sometimes financial constraints of the employer may prevent a salary earner from receiving his/her salary regularly; but this will not change his/her status as a regular salary earner. Again, a regular salary earner may receive wages monthly or weekly; what is important is that his/her work contract does not require a daily, weekly, monthly or annual renewal. Whether a person is receiving time wage or piece wage is also not relevant in deciding whether the person is a regular salary earner. Paid apprentices may also be regular salary earners.
124594
0
1
Yes
32992
2
No
91602
Possess ration card?
Does the household possess ration card?
It is to be ascertained whether the household is having any ration card (see paragraph 3.3.22 for details). If so, code '1' is to be given, else code '2' may be recorded against this item.
124618
0
1
Yes
95377
2
No
29241
Type of ration card
What type of ration card does the household has?
95182
0
1
Antyodaya
2299
2
BPL
23470
3
Others
69413
Beneficiary-Food for work
For each of the schemes, code 1 is to be recorded against the appropriate item (22-25) if at least one household member was a beneficiary of the scheme at any time during the last 365 days and code 2 if no member was a beneficiary of the scheme during that period.
124206
0
1
Yes
2511
2
No
121695
Beneficiary-Annopoorna
For each of the schemes, code 1 is to be recorded against the appropriate item (22-25) if at least one household member was a beneficiary of the scheme at any time during the last 365 days and code 2 if no member was a beneficiary of the scheme during that period.
124228
0
1
Yes
731
2
No
123497
Beneficiary-ICDS
For each of the schemes, code 1 is to be recorded against the appropriate item (22-25) if at least one household member was a beneficiary of the scheme at any time during the last 365 days and code 2 if no member was a beneficiary of the scheme during that period.
124216
0
1
Yes
5955
2
No
118261
Beneficiary-Midday Meal
During the last 365 days whether any member of the household has been a beneficiary of Midday Meal scheme?
For each of the schemes, code 1 is to be recorded against the appropriate item (22-25) if at least one household member was a beneficiary of the scheme at any time during the last 365 days and code 2 if no member was a beneficiary of the scheme during that period.
124147
0
1
Yes
21345
2
No
102802
Performm Ceremony?
Did the household perform any ceremony during the last 30 days?
If the household is found to have performed any ceremony during the last 30 days, then code '1' will be recorded against this item. Otherwise, '2' will be recorded.
124414
0
1
Yes
2574
2
No
121840
Meals seved to non-hhld members
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.
96347
28297
0
9652
10.253
124.419
MPCE-30 DAYS (Rs.0.00)
124644
0
0
144790.33
851.501
1160.503
MPCE-365 DAYS (Rs.0.00)
124644
0
14.11
37838.9
887.236
816.227
NSS
124644
0
NSC
124644
0
Multiplier
124644
0
2.77
108639.51
3318.078
3972.299
Sub Sample Multiplier
124644
0
0.0277
1086.395
33.181
39.723
Combined Multiplier
124644
0
0.0138
543.198
16.616
19.875
Primary key - unique identifier for a member in the household
609736
0
Key to identify a household
609736
0
This variable has been derived for identifying a household by combining FSU, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
609736
0
LOT/FSU number
609736
0
Round
609736
0
Indicates the NSS round number of this survey.
61
609736
Schedule Number
609736
0
Indicates the schedule number of this survey.
010
609736
Sample
609736
0
1
609736
Sector
609736
0
Sector : A word used for the rural-urban demarcation.
1
Rural
403207
2
Urban
206529
State-Region
609736
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
609736
0
01
Jammu & Kashmir
15329
02
Himachal Pradesh
11742
03
Punjab
21850
04
Chandigarh
1501
05
Uttaranchal
11098
06
Haryana
14272
07
Delhi
4961
08
Rajasthan
28280
09
Uttar Pradesh
65994
10
Bihar
31544
11
Sikkim
4886
12
Arunachal Pradesh
9892
13
Nagaland
6816
14
Manipur
16220
15
Mizoram
9735
16
Tripura
10237
17
Meghalaya
7878
18
Assam
21411
19
West Bengal
36372
20
Jharkhand
17990
21
Orissa
24358
22
Chhattisgarh
14294
23
Madhya Pradesh
31796
24
Gujrat
20677
25
Daman & Diu
754
26
Dadra & Nagar Haveli
1116
27
Maharastra
46969
28
Andhra Pardesh
34695
29
Karnataka
23580
30
Goa
1759
31
Lakshadweep
1195
32
Kerala
23113
33
Tamil Nadu
31843
34
Pondicheri
2932
35
Andaman & Nicober
2647
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
609736
0
Stratum Number
609736
0
Sub-Stratum
609736
0
Sub-Round
609736
0
1
Sub round 1
152964
2
Sub round 2
153161
3
Sub round 3
151682
4
Sub round 4
151929
Sub-Sample
609736
0
1
Central sample
304758
2
State sample
304978
FOD Sub-Region
609736
0
Hamlet-Group/Sub-Block no.
609736
0
Second Stage Stratum
609736
0
HHS No.
609736
0
Level
609736
0
04
609736
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 the head's spouse, 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.
609736
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.
609733
0
1
Self
124644
2
Spouse of head
100762
3
Married child
30481
4
Spouse of married child
30077
5
Unmarried child
229333
6
Grandchild
51882
7
Father/mother/father-in-law/mother-in-law
16680
8
Brother/sister/brother-in-law/sister-in-law/other relatives
24467
9
Servant/employee/or non-relatives
1407
Sex
Sex of the member
The sex of each member of the household will be recorded in this column. For eunuchs, code '1' will be recorded.
609736
0
1
Male
312949
2
Female
296787
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. In a departure from earlier rounds, three-digit ages (100 and above) will be recorded in three digits and not as “99”.
609733
3
0
660
26.846
19.003
Marital Status
Marital status of the member
The marital status of each member will be recorded in this column in code.
609670
0
1
Never married
301952
2
Currently married
276415
3
Widowed
28989
4
Divorced/separated
2314
Education
Education of the member
608546
0
01
Not literate
206675
02
Literate without formal schooling
4882
03
Literate but below primary
89684
04
Primary
92116
05
Middle
94421
06
Secondary
54940
07
Higher secondary
32458
08
Diploma / certificate course
4121
10
Graduate
22651
11
Post graduate and above
6598
Days Stayed away
How many number of days the member has stayed away from home during last 30 days?
164938
444798
0
30
1.549
4.496
No. of Meals per day
How many number of meals are usually taken in a day?
609513
223
0
3
2.437
0.587
Meals (School)
How many number of meals were taken at school during last 30 days?
Columns (10), (11) and (12) pertain to meals consumed away from home without payment.
124717
485019
0
90
4.652
8.904
Meals (Employer)
How many number of meals were taken at employer's place during last 30 days?
Columns (10), (11) and (12) pertain to meals consumed away from home without payment.
101648
508088
0
90
0.739
5.744
Meals (Others)
How many number of meals were taken at other places without payment during last 30 days?
Columns (10), (11) and (12) pertain to meals consumed away from home without payment.
137276
472460
0
90
4.144
11.386
Meals (Payment)
How many number of meals were taken on payment during last 30 days?
110747
498989
0
90
1.861
8.777
Meals(At Home)
How many number of meals were taken at home during last 30 days?
607168
2568
0
90
70.92
18.029
NSS
609736
0
NSC
609736
0
Multiplier
609736
0
2.77
108639.51
3214.514
3770.412
Sub Sample Multiplier
609736
0
0.0277
1086.395
32.145
37.704
Combined Multiplier
609736
0
0.0138
543.198
16.099
18.863
Key to identify a household
5741182
0
This variable has been derived for identifying a household by combining FSU, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
5741182
0
LOT/FSU number
5741182
0
Round
5741182
0
Indicates the NSS round number of this survey.
61
5741182
Schedule Number
5741182
0
Indicates the schedule number of this survey.
010
5741182
Sample
5741182
0
1
5741182
Sector
5741182
0
Sector : A word used for the rural-urban demarcation.
1
Rural
3564652
2
Urban
2176530
State-Region
5741182
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
5741182
0
01
Jammu & Kashmir
119030
02
Himachal Pradesh
104725
03
Punjab
184811
04
Chandigarh
18026
05
Uttaranchal
95857
06
Haryana
114920
07
Delhi
55642
08
Rajasthan
200146
09
Uttar Pradesh
490979
10
Bihar
240873
11
Sikkim
45860
12
Arunachal Pradesh
71325
13
Nagaland
55655
14
Manipur
117855
15
Mizoram
82532
16
Tripura
107724
17
Meghalaya
78000
18
Assam
217545
19
West Bengal
383984
20
Jharkhand
145205
21
Orissa
225016
22
Chhattisgarh
122152
23
Madhya Pradesh
258967
24
Gujrat
210459
25
Daman & Diu
8004
26
Dadra & Nagar Haveli
11743
27
Maharastra
508039
28
Andhra Pardesh
394122
29
Karnataka
267057
30
Goa
20566
31
Lakshadweep
10184
32
Kerala
271153
33
Tamil Nadu
432049
34
Pondicheri
35344
35
Andaman & Nicober
35633
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
5741182
0
Stratum Number
5741182
0
Sub-Stratum
5741182
0
Sub-Round
5741182
0
1
Sub round 1
1391116
2
Sub round 2
1447023
3
Sub round 3
1448201
4
Sub round 4
1454842
Sub-Sample
5741182
0
1
Central sample
2866213
2
State sample
2874969
FOD Sub-Region
5741182
0
Hamlet-Group/Sub-Block no.
5741182
0
Second Stage Stratum
5741182
0
HHS No.
5741182
0
Level
5741182
0
05
5741182
Block 5 Item Code
5741182
0
101
rice - PDS
25893
102
rice - other sources
108836
103
chira
18855
104
khoi, lawa
1078
105
muri
19314
106
other rice products
4312
107
wheat/atta - PDS
10143
108
wheat/atta - other sources
81028
110
maida
12187
111
suji, rawa
32911
112
sewai, noodles
6439
113
bread: bakery
22744
114
other wheat products
607
115
jowar & products
9262
116
bajra & products
5981
117
maize & products
8275
118
barley & products
185
120
small millets & products
1148
121
ragi & products
5427
122
other cereals
582
129
cereal: s.t. (101-122)
122331
139
10149
140
arhar, tur
67895
141
gram: split
43721
142
gram: whole
22148
143
moong
59252
144
masur
52879
145
urd
45550
146
peas
11958
147
soyabean
4559
148
khesari
2503
150
other pulses
24757
151
gram products
6926
152
besan
31473
153
other pulse products
12532
159
pulses & pulse products: s.t. (140-153)
120392
160
milk: liquid (litre)
91226
161
baby food
1382
162
milk: condensed/ powder
9569
163
curd
7610
164
ghee
15052
165
butter
2576
166
ice-cream
1535
167
other milk products
3434
169
milk & milk products: s.t.(160-167)
99732
170
vanaspati, margarine
18580
171
mustard oil
64014
172
groundnut oil
17375
173
coconut oil
5392
174
edible oil: others
40887
179
edible oil: s.t. (170-174)
120979
180
eggs (no.)
49022
181
fish, prawn
46882
182
goat meat/mutton
24839
183
beef/ buffalo meat
13147
184
pork
7638
185
chicken
30551
186
others: birds, crab, oyster, tortoise, etc.
3577
189
egg, fish & meat: s.t. (180-186)
79111
190
potato
115070
191
onion
118784
192
radish
38187
193
carrot
29459
194
turnip
3599
195
beet
8143
196
sweet potato
5032
197
arum
21110
198
pumpkin
43771
200
gourd
47932
201
bitter gourd
35055
202
cucumber
33909
203
parwal, patal
17207
204
jhinga, torai
31240
205
snake gourd
11342
206
papaya: green
12863
207
cauliflower
44044
208
cabbage
60639
210
brinjal
92666
211
lady's finger
56898
212
palak/other leafy vegetables
96124
213
french beans, barbati
33285
214
tomato
96793
215
peas
18640
216
chillis: green
105376
217
capsicum
4591
218
plantain: green
10687
220
jackfruit: green
4304
221
lemon (no.)
49482
222
garlic (gm)
105829
223
ginger (gm)
77116
224
other vegetables
66953
229
vegetables: s.t. (190-224)
122173
230
banana (no.)
70530
231
jackfruit
1636
232
watermelon
6109
233
pineapple (no.)
3107
234
coconut (no.)
35698
235
guava
15728
236
singara
1918
237
orange, mausami (no.)
9982
238
papaya
5094
240
mango
17881
241
kharbooza
2464
242
pears, naspati
1437
243
berries
2062
244
leechi
1007
245
apple
24249
246
grapes
14313
247
other fresh fruits
17462
249
fruits (fresh): s.t.(230-247)
99255
250
coconut: copra
10762
251
groundnut
26435
252
dates
4923
253
cashewnut
4971
254
walnut
616
255
other nuts
1233
256
raisin, kishmish, monacca, etc.
7496
257
other dry fruits
3724
259
fruits (dry): s.t. (250-257)
37277
260
sugar - PDS
23784
261
sugar - other sources
104531
262
gur
28679
263
candy, misri
1161
264
honey
629
269
sugar: s.t. (260-264)
117765
279
salt
121995
280
turmeric (gm)
117995
281
black pepper (gm)
36326
282
dry chillies (gm)
111146
283
tamarind (gm)
34910
284
curry powder (gm)
36987
285
oilseeds (gm)
54610
286
other spices (gm)
114318
289
spices: s.t. (280-286)
121603
290
tea: cups (no.)
63657
291
tea: leaf (gm)
106584
292
coffee: cups (no.)
1550
293
coffee: powder (gm)
8850
294
ice
382
295
cold beverages: bottled/canned (litre)
7571
296
fruit juice and shake (litre)
2420
297
coconut: green (no.)
3893
298
other beverages: cocoa, chocolate, etc.
8350
300
biscuits
78097
301
salted refreshments
62586
302
prepared sweets
30008
303
cooked meals (no.)
10477
304
cake, pastry
2370
305
pickles (gm)
22753
306
sauce (gm)
2065
307
jam, jelly (gm)
1754
308
other processed food
47601
309
beverages etc.: s.t. (290-308)
122916
310
pan: leaf
14184
311
pan: finished (no.)
16668
312
supari (gm)
18913
313
lime (gm)
23287
314
katha (gm)
3460
315
other ingredients for pan (gm)
7482
319
pan: s.t. (310-315)
39068
320
bidi (no.)
33634
321
cigarettes (no.)
9364
322
leaf tobacco (gm)
20533
323
snuff (gm)
1079
324
hookah tobacco (gm)
2896
325
cheroot (no.)
616
326
zarda, kimam, surti (gm)
5143
327
other tobacco products
11840
329
tobacco: s.t. (320-327)
68121
330
ganja (gm)
145
331
toddy (litre)
2137
332
country liquor (litre)
12020
333
beer (litre)
980
334
foreign liquor or refined liquor (litre)
4256
335
other intoxicants
1381
339
intoxicants: s.t. (330-335)
19638
Home-Produce--Quantity (0.000)
How much quantity of the home produced item was consumed by the household in the last 30 days?
334009
5407173
0
10000
48.629
127.385
Home-Produce--Value (0.00)
What was the worth of the home produced items consumed by the household in the last 30 days?
387785
5353397
0
11340
200.717
339.312
Total Consumption--Quantity (0.000)
How much quantity of the item was consumed by the household in the last 30 days?
5124487
616695
0.001
300000.27
70.543
256.414
Total Consumption--Value (0.00)
What was the worth of the items consumed by the household in the last 30 days?
5741181
1
0.05
30430
82.758
173.983
Source Code
What was the source of obtaining the item?
Items consumed during the last 30 days may have been procured or acquired in one or more ways mentioned in the preceding paragraph. The 'source' from which the item consumed was procured (or the means by which it was acquired) by the household will be recorded in terms of codes.
4425128
0
1
only purchase
4132484
2
only home-grown stock
224403
3
both purchase and home-grown stock
14854
4
only free collection
18482
5
only exchange of goods and services
3713
6
only gifts / charities
10912
9
others
20280
NSS
5741182
0
NSC
5741182
0
Multiplier
5741182
0
2.77
108639.51
3274.484
3868.932
Sub Sample Multiplier
5741182
0
0.0277
1086.395
32.745
38.689
Combined Multiplier
5741182
0
0.0138
543.198
16.396
19.358
Key to identify a household
637880
0
This variable has been derived for identifying a household by combining FSU, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
637880
0
LOT/FSU number
637880
0
Round
637880
0
Indicates the NSS round number of this survey.
61
637880
Schedule Number
637880
0
Indicates the schedule number of this survey.
010
637880
Sample
637880
0
1
637880
Sector
637880
0
Sector : A word used for the rural-urban demarcation.
1
Rural
417106
2
Urban
220774
State-Region
637880
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
637880
0
01
Jammu & Kashmir
16555
02
Himachal Pradesh
11725
03
Punjab
23171
04
Chandigarh
1599
05
Uttaranchal
10894
06
Haryana
15672
07
Delhi
5403
08
Rajasthan
26045
09
Uttar Pradesh
60218
10
Bihar
31071
11
Sikkim
5696
12
Arunachal Pradesh
8720
13
Nagaland
7171
14
Manipur
17905
15
Mizoram
9474
16
Tripura
11551
17
Meghalaya
7127
18
Assam
21743
19
West Bengal
42648
20
Jharkhand
18318
21
Orissa
24689
22
Chhattisgarh
14240
23
Madhya Pradesh
32160
24
Gujrat
20797
25
Daman & Diu
691
26
Dadra & Nagar Haveli
1097
27
Maharastra
49026
28
Andhra Pardesh
40217
29
Karnataka
25568
30
Goa
2028
31
Lakshadweep
990
32
Kerala
27836
33
Tamil Nadu
39629
34
Pondicheri
3258
35
Andaman & Nicober
2948
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
637880
0
Stratum Number
637880
0
Sub-Stratum
637880
0
Sub-Round
637880
0
1
Sub round 1
157730
2
Sub round 2
160213
3
Sub round 3
160407
4
Sub round 4
159530
Sub-Sample
637880
0
1
Central sample
319020
2
State sample
318860
FOD Sub-Region
637880
0
Hamlet-Group/Sub-Block no.
637880
0
Second Stage Stratum
637880
0
HHS No.
637880
0
Level
637880
0
05
637880
Block 6 item Code
637880
0
340
coke
672
341
firewood and chips
85274
342
electricity (std. unit)
90395
343
dung cake
34355
344
kerosene-PDS(litre)
69510
345
kerosene - other sources (litre)
34337
346
matches (box)
118744
347
coal
2316
348
LPG
40263
350
charcoal
1369
351
candle (no.)
27131
352
gobar gas
380
353
other fuel
8912
359
fuel and light: s.t. (340-353)
124222
Home-Produce--Quantity (0.000)
How much quantity of the home produced item was consumed by the household in the last 30 days?
24035
613845
0
5000
148.146
145.457
Home-Produce--Value (0.00)
What was the worth of the home produced items consumed by the household in the last 30 days?
79313
558567
0
4500
138.691
135.171
Total Consumption--Quantity (0.000)
How much quantity of the item was consumed by the household in the last 30 days?
470161
167719
0
80000
43.272
143.916
Total Consumption--Value (0.00)
What was the worth of the items consumed by the household in the last 30 days?
637880
0
0.25
14461.05
141.228
190.416
Source Code
What was the source of obtaining the item?
Items consumed during the last 30 days may have been procured or acquired in one or more ways mentioned in the preceding paragraph. The 'source' from which the item consumed was procured (or the means by which it was acquired) by the household will be recorded in terms of codes.
511795
0
1
only purchase
417757
2
only home-grown stock
38140
3
both purchase and home-grown stock
2993
4
only free collection
42930
5
only exchange of goods and services
538
6
only gifts / charities
545
9
others
8892
NSS
637880
0
NSC
637880
0
Multiplier
637880
0
2.77
108639.51
3295.397
3889.034
Sub Sample Multiplier
637880
0
0.0277
1086.395
32.954
38.89
Combined Multiplier
637880
0
0.0138
543.198
16.504
19.457
Key to identify a household
1076660
0
This variable has been derived for identifying a household by combining FSU, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
1076660
0
LOT/FSU number
1076660
0
Round
1076660
0
Indicates the NSS round number of this survey.
61
1076660
Schedule Number
1076660
0
Indicates the schedule number of this survey.
010
1076660
Sample
1076660
0
1
1076660
Sector
1076660
0
Sector : A word used for the rural-urban demarcation.
1
Rural
691343
2
Urban
385317
State-Region
1076660
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
1076660
0
01
Jammu & Kashmir
23691
02
Himachal Pradesh
19254
03
Punjab
37398
04
Chandigarh
2898
05
Uttaranchal
18531
06
Haryana
23346
07
Delhi
10271
08
Rajasthan
47952
09
Uttar Pradesh
104578
10
Bihar
57028
11
Sikkim
12015
12
Arunachal Pradesh
14108
13
Nagaland
10937
14
Manipur
23938
15
Mizoram
14687
16
Tripura
19697
17
Meghalaya
15949
18
Assam
42273
19
West Bengal
69627
20
Jharkhand
31969
21
Orissa
39887
22
Chhattisgarh
27975
23
Madhya Pradesh
55296
24
Gujrat
37703
25
Daman & Diu
1285
26
Dadra & Nagar Haveli
1775
27
Maharastra
81058
28
Andhra Pardesh
63388
29
Karnataka
41294
30
Goa
2778
31
Lakshadweep
1541
32
Kerala
44824
33
Tamil Nadu
66543
34
Pondicheri
6089
35
Andaman & Nicober
5077
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
1076660
0
Stratum Number
1076660
0
Sub-Stratum
1076660
0
Sub-Round
1076660
0
1
Sub round 1
268998
2
Sub round 2
269062
3
Sub round 3
268948
4
Sub round 4
269652
Sub-Sample
1076660
0
1
Central sample
538819
2
State sample
537841
FOD Sub-Region
1076660
0
Hamlet-Group/Sub-Block no.
1076660
0
Second Stage Stratum
1076660
0
HHS No.
1076660
0
Level
1076660
0
06
1076660
Block 7 item Code
1076660
0
360
dhoti (metre)
26931
361
sari (metre)
89468
362
cloth for shirt, pyjama, salwar, etc. (metre)
99144
363
cloth for coat, trousers, overcoat, etc. (metre)
78426
364
chaddar, dupatta, shawl, etc. (no.)
40654
365
lungi (no.)
66908
366
gamchha, towel, handkerchief (no.)
105397
367
hosiery articles, stockings, under-garments, etc. (no.)
112906
368
99520
370
headwear (no.)
9264
371
knitted garments, sweater, pullover, cardigan, muffler, scarf, etc. (no.)
37125
372
knitting wool, cotton yarn (gm)
4874
373
clothing: others
24716
374
clothing: second-hand
11534
379
clothing: s.t. (360-374)
123982
380
bed sheet, bed cover (no.)
43533
381
rug, blanket (no.)
12559
382
pillow, quilt, mattress (no.)
10132
383
cloth for upholstery, curtain, table-cloth, etc. (metre)
3361
384
mosquito net (no.)
6903
385
mats and matting (no.)
5641
386
cotton (gm)
1790
387
bedding: others
3960
389
bedding, etc.: s.t. (380-387)
57932
Last 30 days--Quantity (0.000)
How much quantity of the item was consumed by the household in the last 30 days?
94428
982232
0
58000
9.276
244.041
Last 30 days--Value (0.00)
What was the value of the items consumed by the household in the last 30 days?
150767
925893
0
40000
280.469
494.205
Last 365 days--Quantity (0.000)
How much quantity of the item was consumed by the household in the last 365 days?
854542
222118
0.001
58000
16.647
245.626
last 365 days--Value (0.00)
What was the value of the items consumed by the household in the last 365 days?
1076660
0
0.01
78650
675.178
1175.184
NSS
1076660
0
NSC
1076660
0
Multiplier
1076660
0
2.77
108639.51
3291.33
3957.208
Sub Sample Multiplier
1076660
0
0.0277
1086.395
32.913
39.572
Combined Multiplier
1076660
0
0.0138
543.198
16.482
19.799
Key to identify a household
368588
0
This variable has been derived for identifying a household by combining FSU, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
368588
0
LOT/FSU number
368588
0
Round
368588
0
Indicates the NSS round number of this survey.
61
368588
Schedule Number
368588
0
Indicates the schedule number of this survey.
010
368588
Sample
368588
0
1
368588
Sector
368588
0
Sector : A word used for the rural-urban demarcation.
1
Rural
228554
2
Urban
140034
State-Region
368588
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
368588
0
01
Jammu & Kashmir
10785
02
Himachal Pradesh
9312
03
Punjab
16281
04
Chandigarh
1259
05
Uttaranchal
6399
06
Haryana
9808
07
Delhi
4298
08
Rajasthan
18602
09
Uttar Pradesh
34163
10
Bihar
14297
11
Sikkim
4240
12
Arunachal Pradesh
5429
13
Nagaland
4886
14
Manipur
8938
15
Mizoram
7835
16
Tripura
5962
17
Meghalaya
5825
18
Assam
12182
19
West Bengal
20442
20
Jharkhand
9330
21
Orissa
11368
22
Chhattisgarh
7691
23
Madhya Pradesh
17869
24
Gujrat
14682
25
Daman & Diu
505
26
Dadra & Nagar Haveli
653
27
Maharastra
29016
28
Andhra Pardesh
21571
29
Karnataka
14756
30
Goa
1238
31
Lakshadweep
511
32
Kerala
14028
33
Tamil Nadu
20454
34
Pondicheri
2015
35
Andaman & Nicober
1958
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
368588
0
Stratum Number
368588
0
Sub-Stratum
368588
0
Sub-Round
368588
0
1
Sub round 1
90845
2
Sub round 2
92264
3
Sub round 3
92324
4
Sub round 4
93155
Sub-Sample
368588
0
1
Central sample
184332
2
State sample
184256
FOD Sub-Region
368588
0
Hamlet-Group/Sub-Block no.
368588
0
Second Stage Stratum
368588
0
HHS No.
368588
0
Level
368588
0
06
368588
Block 8 Item Code
368588
0
390
leather boots, shoes
38707
391
leather sandals, chappals, etc.
52620
392
other leather footwear
18662
393
rubber/ PVC footwear
102938
394
other footwear
34667
399
footwear: s.t. (390-394)
120994
Last 30 days--Quantity (0.000)
How much quantity of the item was consumed by the household in the last 30 days?
57330
311258
0
15.002
0.00221
0.0888
Last 30 days--Value (0.00)
What was the value of the items consumed by the household in the last 30 days?
57329
311259
0
6000
145.837
203.819
Last 365 days--Quantity (0.000)
How much quantity of the item was consumed by the household in the last 365 days?
368550
38
0.001
30
0.00486
0.0962
last 365 days--Value (0.00)
What was the value of the items consumed by the household in the last 365 days?
368588
0
0.12
15100
379.194
500.089
NSS
368588
0
NSC
368588
0
Multiplier
368588
0
2.77
108639.51
3144.658
3909.084
Sub Sample Multiplier
368588
0
0.0277
1086.395
31.447
39.091
Combined Multiplier
368588
0
0.0138
543.198
15.752
19.558
Key to identify a household
400104
0
This variable has been derived for identifying a household by combining FSU, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
400104
0
LOT/FSU number
400104
0
Round
400104
0
Indicates the NSS round number of this survey.
61
400104
Schedule Number
400104
0
Indicates the schedule number of this survey.
010
400104
Sample
400104
0
1
400104
Sector
400104
0
Sector : A word used for the rural-urban demarcation.
1
Rural
242886
2
Urban
157218
State-Region
400104
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
400104
0
01
Jammu & Kashmir
10540
02
Himachal Pradesh
8056
03
Punjab
15819
04
Chandigarh
1344
05
Uttaranchal
6817
06
Haryana
9820
07
Delhi
3469
08
Rajasthan
15476
09
Uttar Pradesh
36986
10
Bihar
15196
11
Sikkim
3108
12
Arunachal Pradesh
5944
13
Nagaland
5824
14
Manipur
13545
15
Mizoram
8550
16
Tripura
7555
17
Meghalaya
5954
18
Assam
14694
19
West Bengal
26904
20
Jharkhand
9449
21
Orissa
13392
22
Chhattisgarh
8156
23
Madhya Pradesh
18436
24
Gujrat
13885
25
Daman & Diu
578
26
Dadra & Nagar Haveli
834
27
Maharastra
34089
28
Andhra Pardesh
20547
29
Karnataka
13725
30
Goa
1315
31
Lakshadweep
587
32
Kerala
24389
33
Tamil Nadu
21158
34
Pondicheri
1817
35
Andaman & Nicober
2146
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
400104
0
Stratum Number
400104
0
Sub-Stratum
400104
0
Sub-Round
400104
0
1
Sub round 1
100721
2
Sub round 2
101670
3
Sub round 3
99067
4
Sub round 4
98646
Sub-Sample
400104
0
1
Central sample
200053
2
State sample
200051
FOD Sub-Region
400104
0
Hamlet-Group/Sub-Block no.
400104
0
Second Stage Stratum
400104
0
HHS No.
400104
0
Level
400104
0
07
400104
Block 9 Item Code
400104
0
400
books, journals
64742
401
newspapers, periodicals
18620
402
library charges
2141
403
stationery
74098
404
tuition and other fees (school, college, etc.)
59358
405
private tutor/ coaching centre
14465
406
other educational expenses
29324
409
education: s.t. (400-406)
82611
410
medicine
12248
411
X-ray, ECG, pathological test, etc.
7517
412
doctor's/surgeon's fee
7929
413
hospital & nursing home charges
7178
414
other medical expenses
6514
419
medical - institutional: s.t. (410-414)
13359
Last 30 days--Value (0.00)
What was the value of the items consumed by the household in the last 30 days?
187858
212246
0
205000
266.277
1424.773
Last 365 days--Value (0.00)
What was the value of the items consumed by the household in the last 365 days?
400104
0
0.1
500000
1835.644
5849.41
NSS
400104
0
NSC
400104
0
Multiplier
400104
0
2.77
102600
3049.077
3815.579
Sub Sample Multiplier
400104
0
0.0277
1026
30.491
38.156
Combined Multiplier
400104
0
0.0138
513
15.272
19.09
Key to identify a household
2378390
0
This variable has been derived for identifying a household by combining FSU, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
2378390
0
LOT/FSU number
2378390
0
Round
2378390
0
Indicates the NSS round number of this survey.
61
2378390
Schedule Number
2378390
0
Indicates the schedule number of this survey.
010
2378390
Sample
2378390
0
1
2378390
Sector
2378390
0
Sector : A word used for the rural-urban demarcation.
1
Rural
1402601
2
Urban
975789
State-Region
2378390
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
2378390
0
01
Jammu & Kashmir
59169
02
Himachal Pradesh
44464
03
Punjab
89925
04
Chandigarh
8165
05
Uttaranchal
37277
06
Haryana
52864
07
Delhi
29952
08
Rajasthan
90906
09
Uttar Pradesh
209534
10
Bihar
97109
11
Sikkim
17157
12
Arunachal Pradesh
23880
13
Nagaland
21986
14
Manipur
53817
15
Mizoram
36329
16
Tripura
37437
17
Meghalaya
29453
18
Assam
80044
19
West Bengal
152070
20
Jharkhand
57618
21
Orissa
74571
22
Chhattisgarh
48755
23
Madhya Pradesh
113036
24
Gujrat
94344
25
Daman & Diu
4936
26
Dadra & Nagar Haveli
5842
27
Maharastra
209284
28
Andhra Pardesh
163445
29
Karnataka
110506
30
Goa
9064
31
Lakshadweep
3551
32
Kerala
106945
33
Tamil Nadu
176656
34
Pondicheri
15996
35
Andaman & Nicober
12303
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
2378390
0
Stratum Number
2378390
0
Sub-Stratum
2378390
0
Sub-Round
2378390
0
1
Sub round 1
590710
2
Sub round 2
602250
3
Sub round 3
588044
4
Sub round 4
597386
Sub-Sample
2378390
0
1
Central sample
1188103
2
State sample
1190287
FOD Sub-Region
2378390
0
Hamlet-Group/Sub-Block no.
2378390
0
Second Stage Stratum
2378390
0
HHS No.
2378390
0
Level
2378390
0
08
2378390
Block 10 Item Code
2378390
0
420
medicine
75312
421
X-ray, ECG, pathological test, etc.
3610
422
doctor's/surgeon's fee
28332
423
family planning
1211
424
other medical expenses
3235
429
medical - non-institutional: s.t. (420-424)
76519
430
cinema, theatre
9185
431
mela, fair, picnic
3062
432
sports goods, toys, etc.
7171
433
club fees
437
434
goods for recreation and hobbies
741
435
photography
1923
436
video cassette/ VCR/ VCP(hire)
3239
437
cable TV connection
26358
438
other entertainment
3837
439
entertainment: s.t. (430-438)
44602
440
spectacles
793
441
torch
1369
442
lock
1886
443
umbrella, raincoat
2727
444
lighter (bidi/ cigarette/ gas stove)
3103
445
other goods for personal care and effects
12007
449
goods for personal care and effects: s.t. (440-445)
19071
450
toilet soap
121121
451
toothbrush, toothpaste, etc.
98405
452
powder, snow, cream, lotion
55500
453
hair oil, shampoo, hair cream
112533
454
comb
5816
455
shaving blades, shaving stick, razor
69584
456
shaving cream
15381
457
sanitary napkins
11010
458
other toilet articles
38310
459
toilet articles: s.t. (450-458)
123911
460
electric bulb, tubelight
25008
461
batteries
14385
462
other non-durable electric goods
1196
463
earthenware
8526
464
glassware
2378
465
bucket, water bottle/ feeding bottle & other plastic goods
6998
466
coir, rope, etc.
3168
467
washing soap/soda
121635
468
other washing requisites
55454
470
agarbati
83901
471
flowers (fresh): all purposes
17639
472
insecticide, acid, etc.
18418
473
other petty articles
39188
479
sundry articles: s.t. (460-473)
123953
480
domestic servant/cook
5014
481
sweeper
4138
482
barber, beautician, etc.
97374
483
washerman, laundry, ironing
16637
484
tailor
12228
485
priest
13157
486
legal expenses
424
487
postage & telegram
6213
488
telephone charges
53775
490
repair charges for non-durables
4646
491
grinding charges
63367
492
miscellaneous expenses
47313
493
pet animals (incl. birds, fish)
3918
494
other consumer services excluding conveyance
11638
499
consumer services excluding conveyance: s.t. (480-494)
118706
500
air fare
45
501
railway fare
4994
502
bus/tram fare
73513
503
taxi, auto-rickshaw fare
26092
504
steamer, boat fare
678
505
rickshaw (hand drawn & cycle) fare
8443
506
horse cart fare
1271
507
porter charges
733
508
petrol
20401
510
diesel
895
511
lubricating oil
8818
512
school bus/van
2444
513
other conveyance expenses
2170
519
conveyance : s.t. (500-513)
97534
520
house rent, garage rent (actual)
15128
521
residential land rent
2821
522
other consumer rent
1007
529
rent: s.t. (520-522)
18814
539
house rent, garage rent (imputed- urban only)
30111
540
water charges
25500
541
other consumer taxes & cesses
30577
549
consumer taxes and cesses: s.t. (540-541)
44705
Value (0.00)
What was the value of the items consumed by the household in the last 30 days?
2378390
0
0.1
49100
106.003
330.524
NSS
2378390
0
NSC
2378390
0
Multiplier
2378390
0
2.77
108639.51
3241.047
3934.744
Sub Sample Multiplier
2378390
0
0.0277
1086.395
32.41
39.347
Combined Multiplier
2378390
0
0.0138
543.198
16.233
19.687
Key to identify a household
1625391
0
This variable has been derived for identifying a household by combining FSU, Hamlet group, Second stage stratum and sample household number.
Centre code,Round,Shift
1625391
0
LOT/FSU number
1625391
0
Round
1625391
0
Indicates the NSS round number of this survey.
61
1625391
Schedule Number
1625391
0
Indicates the schedule number of this survey.
010
1625391
Sample
1625391
0
1
1625391
Sector
1625391
0
Sector : A word used for the rural-urban demarcation.
1
Rural
1043518
2
Urban
581873
State-Region
1625391
0
Regions are hierarchical domains of study below the level of State/ Union Territory in the NSS.
State
1625391
0
01
Jammu & Kashmir
43264
02
Himachal Pradesh
29906
03
Punjab
63934
04
Chandigarh
4552
05
Uttaranchal
27949
06
Haryana
36422
07
Delhi
15522
08
Rajasthan
66511
09
Uttar Pradesh
165481
10
Bihar
71313
11
Sikkim
12749
12
Arunachal Pradesh
11235
13
Nagaland
18837
14
Manipur
30949
15
Mizoram
6228
16
Tripura
25024
17
Meghalaya
24225
18
Assam
60158
19
West Bengal
99672
20
Jharkhand
42609
21
Orissa
65184
22
Chhattisgarh
42423
23
Madhya Pradesh
91432
24
Gujrat
67355
25
Daman & Diu
2794
26
Dadra & Nagar Haveli
4299
27
Maharastra
136506
28
Andhra Pardesh
99749
29
Karnataka
65387
30
Goa
4570
31
Lakshadweep
2642
32
Kerala
65437
33
Tamil Nadu
105798
34
Pondicheri
8720
35
Andaman & Nicober
6555
This variable has been derived from the variable "St_Region" to enable the users to easily access state wise data.
District
1625391
0
Stratum Number
1625391
0
Sub-Stratum
1625391
0
Sub-Round
1625391
0
1
Sub round 1
392332
2
Sub round 2
405155
3
Sub round 3
412447
4
Sub round 4
415457
Sub-Sample
1625391
0
1
Central sample
812682
2
State sample
812709
FOD Sub-Region
1625391
0
Hamlet-Group/Sub-Block no.
1625391
0
Second Stage Stratum
1625391
0
HHS No.
1625391
0
Level
1625391
0
09
1625391
Block 11 Item Code
1625391
0
550
bedstead
6005
551
almirah, dressing table
808
552
chair, stool, bench, table
3034
553
suitcase, trunk, box, handbag and other travel goods
4782
554
foam, rubber cushion (dunlopillo type)
270
555
carpet, daree & other floor mattings
907
556
paintings, drawings, engravings, etc.
214
557
other furniture & fixtures (couch, sofa, etc.)
968
559
furniture & fixtures: s.t. (550-557)
14250
560
gramophone & record player
296
561
radio
113976
562
television
113434
563
VCR/VCP/DVD
437
564
camera & photographic equipment
87
565
tape recorder, CD player
1143
566
gramophone record, audio/video cassette, etc.
3838
567
musical instruments
106
568
other goods for recreation
406
569
goods for recreation: s.t. (560-568)
11352
570
gold ornaments
4320
571
silver ornaments
5882
572
jewels, pearls
272
573
other ornaments
6033
579
jewellery & ornaments: s.t. (570-573)
14160
580
stainless steel utensils
27199
581
other metal utensils
9742
582
casseroles, thermos, thermoware
1216
583
other crockery & utensils
15610
589
crockery & utensils: s.t. (580-583)
41113
590
electric fan
115019
591
air conditioner
112068
592
air cooler
112136
593
lantern, lamp, electric lampshade
1368
594
sewing machine
110737
595
washing machine
280
596
stove
3968
597
pressure cooker/pressure pan
3656
598
refrigerator
110235
600
electric iron, heater, toaster, oven & other electric heating appliances
1847
601
other cooking/household appliances
4258
609
cooking and household appliances: s.t. (590-601)
17440
610
bicycle
115037
611
motor cycle, scooter
110408
612
motor car, jeep
108195
613
tyres & tubes
17714
614
other transport equipment
560
619
personal transport equipment: s.t. (610-614)
58061
620
hearing aids & orthopaedic equipment
170
621
other medical equipment
137
629
therapeutic appliances : s.t. (620-621)
303
630
clock, watch
9093
631
other machines for household work
69
632
personal computer
161
633
mobile phone handset
800
634
any other personal goods
758
639
other personal goods: s.t. (630-634)
10421
640
bathroom and sanitary equipment
1189
641
plugs, switches & other electrical fittings
3610
642
residential building & land (cost of repairs only)
46381
643
other durables (specify)…................
1858
649
residential building, land and other durables : s.t. (640-643)
50146
659
95448
Whether possesses?
Whether the household possesses the item?
It is to be ascertained whether the household possesses the durable goods as on the date of survey. If so, '1' will be entered, otherwise '2' will be recorded here. 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; this means that column (3) need not be filled in.
1121810
0
1
yes
295174
2
no
826622
9
invalid
14
First-hand purchase:Value(30)
How much is the value of the first hand item purchased in the last 30 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.
38528
1586863
0
415800
955.749
6965.277
Cost-raw material,service & repair
How much is the total cost of raw material, service & repair done in the last 30 days?
81690
1543701
0
300000
204.955
2649.91
Second-hand purchase:Value(30)
How much is the value of the second hand item purchased in the last 30 days?
Value of second-hand purchase during the reference period will be entered in this column.
861
1624530
0
260000
4040.606
17845.258
Total expenditure(30)
How much is the total expenditure done in the last 30 days?
column (7) = column (4) + column (5) + column (6)
114333
1511058
0
415900
498.936
4922.724
First-hand purchase:Number(365)
How many numbers of the item were first hand purchased in the last 365 days?
The number of each item of durable goods purchased for which some expenditure has been incurred during the reference period (i.e. during last 365 days) will be recorded in these columns. The column (8) and (12) are the number of item purchased as first hand and second hand respectively.
25370
1600021
0
60
1.781
1.298
Whether hirepurchased?(365)
Whether the item was hire purchased in the last 365 days?
115822
0
1
yes
11046
2
no
104776
First-hand purchase:Value(365)
How much is the value of the first hand item purchased 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.
291681
1333710
0
740000
1512.833
10012.63
Cost-raw material,service & repair
How much is the total cost of raw material, service & repair done in the last 365 days?
371140
1254251
0
403000
779.466
3891.441
2nd-hand purchase:Number(365)
How many numbers of the item were second hand purchased in the last 365 days?
The number of each item of durable goods purchased for which some expenditure has been incurred during the reference period (i.e. during last 365 days) will be recorded in these columns. The column (8) and (12) are the number of item purchased as first hand and second hand respectively.
1004
1624387
0
60
1.169
2.33
2nd-hand purchase:Value(365)
How much is the value of the second hand item purchased in the last 365 days?
Value of second-hand purchase during the reference period will be entered in this column.
3912
1621479
0
500000
8205.377
27776.022
Total expenditure(365)
How much is the total expenditure done in the last 365 days?
column (14) = column (10) + column (11) + column (13)
586661
1038730
0
800000
1299.993
8210.394
NSS
1625391
0
NSC
1625391
0
Multiplier
1625391
0
2.77
108639.51
3390.577
3986.831
Sub Sample Multiplier
1625391
0
0.0277
1086.395
33.906
39.868
Combined Multiplier
1625391
0
0.0138
543.198
16.984
19.95