Computer Centre
2012-04-09
Nesstar PublisherVersion 1.0 (APRIL 2012)Employment and Unemployment Survey: NSS 55th Round, Schedule 10.1, July 1999 - June 2000
Sixth Quinquennial Survey
DDI-IND-MOSPI-NSSO-55Rnd-Sch10-and-10dot1-1999-2000National 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
Socio-Economic/Household Survey
Employment and Unemployment55th RoundSchedule 10.1July 1999 - June 2000
Labor Markets
The Employment and Unemployment surveys of National sample Survey (NSS) are primary sources of data on various indicators of labour force at National and State levels. These are used for planning, policy formulation, decision support and as input for further statistical exercises by various Government organizations, academicians, researchers and scholars. NSS surveys on employment and un-employment with large sample size of households have been conducted quinquennially from 27th. round(October'1972 - September'1973) onwards.Since then, the four successive quinquennial surveys conducted in 32nd, 38th, 43rd and 50th rounds have, more or less, followed an identical approach in the measurement of employment and unemployment. The basic approach in all these four quinquennial surveys have been the collection of data to generate the estimates of employment and unemployment according to the 'usual status' based on a reference period of one year, the 'current weekly status' based on a reference period of one week, and the 'current daily status' based on each day of the previous week. In order to reveal the multi-dimensional aspects of the employment-unemployment situation in India, information on several correlates were also gathered in these surveys. Sets of probing questions on some of these aspects have also been one of the basic features of these surveys.
A Working Group was set up for the purpose of finalising the survey methodology and schedules of enquiry of the 55th round. Considering all the aspects of current data demand and usefulness of the survey results, the Group has suggested a few improvisations, additions and deletions in the content of the schedule of enquiry for the present survey. The major changes made in the schedule for employment and unemployment survey vis-à-vis the previous quinquennial survey are given below:
a) Instead of recording the details for one subsidiary usual economic activity of all the members of the household, the details of two subsidiary usual economic activities pursued for relatively more time were be recorded.
b) Certain probing questions to identify the employment in the unincorporated enterprises (i.e., the proprietary and partnership enterprises other than those covered under Annual Survey of Industries (ASI)) will be asked to the workers according to usual principal as well as subsidiary statuses. This apart, information to identify 'homeworkers' were collected in this round.
c) In addition to the information on the changes undergone in industry and/or occupation of the usually employed persons during last 2 years, provisions were made to record changes in the status of work as well as the establishment of work during the same reference period. In all such cases where changes in any of these would be reported, the previous position obtaining for the person in that regard were ascertained.
d) Migration particulars of each of the members of the sample household were collected, as was done in the fourth quinquennial survey (NSS 43rd round).
e) Probing questions, framed to get data on participation of persons in specified household chores, were put only to females instead of all persons usually engaged in household chores.
f) The schedules on Employment - Unemployment and Consumer Expenditure are to be canvassed in independent sets of households. Since the monthly per capita expenditure of a household is an important classificatory variable for the study of employment- unemployment, household expenditure on broad groups of items were recorded so as to work out monthly per capita expenditure of the household.
g) A sub-sample of FSUs were repeated in two consecutive sub-rounds. The households selected and surveyed in a sub-round were re-visited in the next sub-round for collection of data on employment and unemployment only. The newly formed households, if found, during the second visit to the FSU constituted second-stage stratum 9 and a sample of households were selected from them for canvassing Schedule 10 (and not Schedule 10.1).
h) All the items of information contained in Schedule 10 were not be collected in the second visit. A separate Schedule 10.1 was designed (retaining few blocks of Schedule 10) and used for data collection in the second visit. It is important to note that for the items retained in Schedule 10.1, the reference of block, item or column (i.e., block no., item no. and column no.) were the same as those of Schedule 10 meant for first visit, unless otherwise specifically mentioned.
the same concepts, definitions and procedures were followed for collection of data in the second visit.
Work Programme: The survey period of one year was divided into four sub-rounds of three months duration each as below.
sub-round period of survey
1 July-September, 1999
2 October- December, 1999
3 January-March, 2000
4 April-June, 2000
Equal number of sample fsu's were allotted for survey in each of these four sub-rounds. Each fsu was surveyed during the sub-round period to which it was allotted. Within a particular sub-round, efforts were made to spread out the field work of various fsu's uniformly over different weeks/months to the extent possible..Fifty per cent of the sample fsu's of each sub-round were be revisitd again (only for the central sample) in the subsequent sub-round and collected employment-unemployment details from the sample households who were visited during the previous sub-round. In such cases efforts were made to revisit the fsu just after 3 months.IndiaThe survey covered the whole of the Indian Union excepting (i) Ladakh & Kargil districts of Jammu & Kashmir, (ii) interior villages of Nagaland situated beyond 5 kms. of a bus route & (iii) villages of Andaman & Nicobar Islands remaining inaccessible throughout the year. All the villages of the country, uninhabited according to 1991 census, were also left out of the survey coverage of the NSS 55th round.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]
Field Operations Division of Naional Sample Survey Office
One salient feature of the 55th round is that the rotation sampling scheme has been adopted for the first time in the NSS (central sample only) for the purpose of collection of employment-unemployment data. Under this scheme, 50 per cent of the sample first stage units (fsu's) of each sub-round will be revisited in the subsequent sub-round. From each such fsu, sample households visited in the previous sub-round for collecting data on employment-unemployment will be revisited in the subsequent sub-round for collecting employment-unemployment details. In addition, for the purpose of collecting employment-unemployment data, a thin sample of 2 households will be selected during the revisit from the frame of newly formed households in the fsu. It may be noted that the above scheme of rotation sampling scheme for collecting employment-unemployment data will be followed only for the fsu's belonging to the central sample. For state samples, the fsu's are to be visited only once as they appear in the sample list for canvassing various schedules in the selected households/enterprises.
Sampling frame for first stage units:
The frame used for selection of first stage units in the rural sector was the 1991 census list of villages for all the four sub-rounds for 8 states/u.t.s viz. Andhra Pradesh, Assam, Kerala, Madhya Pradesh, Orissa, Uttar Pradesh, West Bengal and Chandigarh. However for Agra district of U.P. and the three districts, viz.Durg, Sagar, and Morena of M.P., samples were drawn using 1981 census list of villages. For Jammu & Kashmir samples for all the 4 sub-rounds were drawn using the 1981 census list as the 1991 census was not conducted in the st ate. For the remaining 23 states/u.t.s, the frame was 1991 census list for sub-rounds 2 to 4 and 1981 census list for sub-round 1 as the 1991 census list was not available for use at the time of drawing the samples.
As usual, for Nagaland the list of villages within 5 kms. of the bus route and for Andaman and Nicobar Islands the list of accessible villages constituted the frame. In the case of urban sector the frame consisted of the UFS blocks and, for some newly declared towns where these were not available, the 1991 census enumeration blocks were used.
Region formation and stratification:
States were divided into regions by grouping contiguous districts similar in respect of population density and cropping pattern. In rural sector each district was treated a separate stratum if the population was below 2 million and where it exceeded 2 million, it was split into two or more strata. This cut off point of population was taken as 1.8 million ( in place of 2 million ) for the purpose of stratification for districts for which the 1981 census frame wa s used. In the urban sector, strata were formed, within each NSS region on the basis of population size class of towns. However for towns with population of 4 lakhs or more the urban blocks were divided into two classes viz. one consisting of blocks inhabited by affluent section of the population and the other consisting of the remaining blocks.
Selection of first stage units :
Selection of sample villages was done circular systematically with probability proportional to population and sample blocks circular system-atically with equal probability. Both the sample villages and the sample blocks were selected in the form of two or more independent sub-samples. In Arunachal Pradesh the procedure of cluster sampling has been followed. Further large villages/blocks having present population of 1200 or more were divided into a suitable number of hamlet- groups/ sub-blocks having equal population content. Two hamlet- groups were selected from the
larger villages while one sub-block was selected in urban sector for larger blocks.
Selection of households :
While listing the households in the selected villages, certain relatively affluent households were identified and considered as second stage stratum 1 and the rest as second stage stratum 2.
A total of 10 households were surveyed from the selected village/hamlet-groups, 2 from the fi rst category and remaining from the second.
Further in the second stage stratum-2, the households were arranged according to the means of livelihood. The means of livelihood were identified on the basis of the major source of income as i) self-employed in non-agricultu re, ii) rural labour and iii) others. The land possessed by the households was also ascertained and the frame for selection was arranged on the basis of this information.
The households were selected circular systematically from both the second stage strata.
In the urban blocks a different method was used for arranging the households for selection. This involved the identification means of livelihood of households as any one of a) self-employed, b)regular salaried/wage earnings, c) casual labour, d) others. Further the average household monthly per capita consumer expenditure (mpce) was also ascertained. All households with MPCE of (i) Rs. 1200/- or more (in towns with population less than 10 lakhs or (ii) Rs. 1500/- or more (in towns with population 10 lakh or more) formed second-stage stratum 1 and the rest, second-stage stratum 2.The households of second-stage stratum 2 were arranged according to means of livelihood class and MPCE ranges before selection of sample households. A total of 10 households were selected from each sample block as follows
(i) For affluent strata/classes : 4 households from second- stage stratum 1 and 6 households from second-stage stratum 2
(ii) For other strata/classes : 2 households from second-stage stratum 1 and 8 from second-stage stratum 2.
Households were then selected circular systematically w ith a random start.
Shortfall in the required number of household in any second-stage st ratum was made up by ncreasing the quota for the other second stage stratum.
A total of 7284 sample villages (Rural) and 4792 sample blocks (Urban) were allotted in central sample. 6983 sample villages and 470 sample blocks were successfullly surveyed covering 356351 persons in sample villages and 208389 persons in sample blocks.
There was no deviation from the original sampling design
Face-to-face [f2f] Block 3.1---> Block 9
Block 4----> Block 5.1----->Block 5.2---> Block 5.3---> Block 6
V
l-> Block 7.1
l-> Block 7.2
l-> Block 8
Block 10 & 11
RE-VISIT Schedule 10.1
This schedule has 9 blocks including the usual blocks 0, 1, 2, 10 and 11.
The other blocks are blocks 4, 5.1, 5.2 and 5.3 which are similar to schedule 10.]]>
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.
Block3-sch10--Household-Characteristics-records.NSDstat
120578
31
Nesstar 200801
MSSO
Block31-sch10-Indebtedness-rural-labour-households-Records.NSDstat
The information on the extent of indebtedness of the rural labour households, i.e., those with household type code 2 or 3 against item 4 of block 3 of rural schedules which were captured in Block 3.1 are the contenst of this dataset.
5993
43
Nesstar 200801
NSSO
Block4-sch10-persons-demographic-migration-records.NSDstat
Content of this dataset is pertaing to the data collected through Block 4 of the questionnaire regarding demographic particulars like sex, age, marital status etc. and particulars of migration for each member of the household
596686
38
Nesstar 200801
NSSO
Block51-sch10-Persons-usual-principal-activity-Records.NSDstat
596686
39
Nesstar 200801
NSSO
Block52-sch10-Persons-subsidiary-activity-Records.NSDstat
19228
37
Nesstar 200801
NSSO
Block53-sch10-Persons-daily-activity-time-disposition-Records.NSDstat
Content of this dataset are the time disposition recorded for every member in the household listed in block 4 for all the 7 days preceding the date of survey, the current weekly status based on the 7 days time disposition, wage and salary earnings during the week, etc.
700932
36
Nesstar 200801
Block6-sch10-persons-unemployed-7daysweek-Records.NSDstat
9455
29
Nesstar 200801
NSSO
Block71-sch10-Persons-availability-for-work-Records.NSDstat
227802
33
Nesstar 200801
NSSO
Block72-sch10-Persons-change-of-work-Records.NSDstat
227802
36
Nesstar 200801
NSSO
Block8-sch10-Females-domestic-duties-Records.NSDstat
289078
45
Nesstar 200801
NSSO
Block4-sch10-and-10dot1-Records-combined.NSDstat
Content of this COMBINED dataset is pertaing to the data collected through Block 4 of the questionnaire 10 and10.1 ( Re-visit) regarding demographic particulars like sex, age, marital status etc. and particulars of migration for each member of the household.
819011
38
Nesstar 200801
NSSO
Block51-sch10-and-10dot1-Records-combined.NSDstat
819011
39
Nesstar 200801
NSSO
Block52-sch10-and-10dot1-Records-combined.NSDstat
26207
37
Nesstar 200801
NSSO
Block53-sch10-and-10dot1-Records-combined.NSDstat
Content of this COMBINED dataset are the time disposition recorded for every member in the household listed in block 4 of schedule 10 and 10.1(re-visit) for all the 7 days preceding the date of survey, the current weekly status based on the 7 days time disposition, wage and salary earnings during the week, etc.
960349
34
Nesstar 200801
NSSO
Key to locate Household
120578
0
KEY variable generated to identify a household by combining the variables:-(Sub round,Sub sample,First stage unit no,visit no,Segment no,2nd stage stratum and housrhold serial no.)
Record ID(indicate blockno-03)
120578
0
03
Block-3 data
120578
Generated variable to indicate Block no of the questionnaire to which the records of this dataset belong
Round and schedule
120578
0
552
120578
Generated variable- First 2 characters indicate NSS round (55) and the last character indicate schedule number ( 2-for schedule10 and 4 for Schedule 10.1(Re-visit).
Sector
sector (rural-1, urban-2)
120578
0
1
Rural
71417
2
Urban
49161
State
State code
120578
0
02
Andhra Pradesh
8996
03
Arunachal Pradesh
1041
04
Assam
4314
05
Bihar
9596
06
Goa
476
07
Gujarat
5244
08
Haryana
1893
09
Himachal Pradesh
2592
10
Jammu & Kashmir
2477
11
Karnataka
5233
12
Kerala
4619
13
Madhya Pradesh
8288
14
Maharashtra
9357
15
Manipur
1403
16
Meghalaya
1319
17
Mizoram
1288
18
Nagaland
744
19
Orissa
4553
20
Punjab
4038
21
Rajasthan
5224
22
Sikkim
1344
23
Tamil Nadu
8385
24
Tripura
1599
25
Uttar Pradesh
14074
26
West Bengal
7987
27
A & N Islands
465
28
Chandigarh
940
29
Dadra & Nagar Haveli
288
30
Daman & Diu
372
31
Delhi
1289
32
Lakshdweep
468
33
Pondicherry
672
Region
Region code
120578
0
1
Region-1
45988
2
Region-2
31951
3
Region-3
20901
4
Region-4
14994
5
Region-5
4428
6
Region-6
1357
7
Region-7
959
Stratum
stratum number
120578
0
District
District
120578
0
Sub round
sub - round
120578
0
As usual, the survey period of this round is divided into four sub-rounds, each with a duration of three months.
1
Sub-round-1
30033
2
Sub-round-2
30151
3
Sub-round-3
30343
4
Sub-round-4
30051
Sub sample
sub - sample
120578
0
Sample fsu's from each first stage stratum will be drawn in the form of a number of independent sub-samples. There are 8 sub-samples in this round of survey.
1
Sub-sample-1
15068
2
Sub-sample-2
15061
3
Sub-sample-3
15007
4
Sub-sample-4
15048
5
Sub-sample-5
15106
6
Sub-sample-6
15237
7
Sub-sample-7
15010
8
Sub-sample-8
15041
First stage Unit no
srl. no. of sample village / block
120578
0
Visit no
120578
0
1
1st Visit
120578
Segment no
120578
0
1
80677
2
39901
Stage-2 stratum
second-stage stratum
120578
0
01
14596
02
105982
Survey code
survey code
120577
0
1
Original hhold surveyed
117941
2
Substitute hhold surveyed
2636
3
Causality`
0
Reason substitution
2773
0
1
352
2
1938
3
Informant non co-operative
332
9
151
Time to canvass(mts).
120578
0
Sample hhold no
120578
0
Social group
Household social group
it will have to be ascertained whether the household belongs to schedule tribe, scheduled caste or neo-Buddhist and accordingly the respective codes 1, 2 or 3 will be recorded here.
120578
0
1
13818
2
19398
3
38877
9
48485
Religion
Household religion
The code of the particular religious faith which the head of the household follows, will be recorded as per codelist
120578
0
0
NR
14
1
93676
2
14611
3
6490
4
2864
5
483
6
1274
7
25
9
1141
Hhold type
Hhold type
Household type will be recorded against this item in terms of the codes
120578
0
11
10447
12
Agricultural labour(rural)
18074
13
5639
14
Self employed in Agriculture(rural)
26522
18
Invalid
59
19
10676
21
17756
22
Regular wage/salary earning(urban)
20465
23
6044
28
Invalid
58
29
4838
MPCE(Rs)
Total expenditure last month (Rs
120578
0
1
35732
682.441
581.835
Land owned(0.00)
The total land owned by the household as on the date of survey will be recorded against this item
120578
0
0
162.88
0.721
2.288
Land possed(0.00).
The total land possessed by the household as on the date of survey will be recorded against this item
120578
0
0
162.88
0.723
2.237
Land cultivated(0.00)
The total land cultivated by the household as on the date of survey will be recorded against this item
120578
0
0
160
0.632
2.058
male-public-wrker
No. of male members who got work for at least 60 days in 'public works' during last 365 days
It will be first ascertained if any male member of the household got any work for at least 60 days during last 365 days preceding the date of survey in 'public works'.
120578
0
-1
95949
0
22876
1
1237
2
444
3
30
4
16
5
8
6
1
7
2
8
5
10
8
11
1
16
1
fem-public-wrker
No. of female members who got work for at least 60 days in 'public works' during last 365 days
It will be first ascertained if any female member of the household got any work for at least 60 days during last 365 days preceding the date of survey in 'public works'.
120578
0
-1
96708
0
23036
1
395
2
371
3
17
4
16
5
7
6
9
7
1
8
5
9
4
10
8
13
1
Nss
120578
0
1
51492
2
41057
3
10355
4
5395
5
3760
6
2074
7
677
8
2250
10
11
11
2084
15
1423
SS_replicate
120578
0
1
276
2
31134
3
89168
Multiplier posted(0.00)
120578
0
7.06
549390.88
12480.475
13176.199
Multiplier sub round combined (generated)
120578
0
3.53
274695.44
6250.106
6624.859
1.]]>
Key to locate Household
5993
0
See details given against same variable of Dataset of Block-3
Record ID(indicate blockno-3.1)
See details given against same variable of Dataset of Block-3
5993
0
31
Block-3.1 data
5993
Round and schedule
See details given against same variable of Dataset of Block-3
5993
0
552
5993
Sector
See details given against same variable of Dataset of Block-3
5993
0
1
Rural
5993
2
Urban
0
State
See details given against same variable of Dataset of Block-3
5993
0
02
Andhra Pradesh
837
03
Arunachal Pradesh
0
04
Assam
391
05
Bihar
435
06
Goa
6
07
Gujarat
316
08
Haryana
90
09
Himachal Pradesh
53
10
Jammu & Kashmir
77
11
Karnataka
222
12
Kerala
442
13
Madhya Pradesh
357
14
Maharashtra
433
15
Manipur
3
16
Meghalaya
0
17
Mizoram
2
18
Nagaland
1
19
Orissa
260
20
Punjab
268
21
Rajasthan
173
22
Sikkim
48
23
Tamil Nadu
411
24
Tripura
60
25
Uttar Pradesh
395
26
West Bengal
520
27
A & N Islands
10
28
Chandigarh
21
29
Dadra & Nagar Haveli
62
30
Daman & Diu
62
31
Delhi
0
32
Lakshdweep
7
33
Pondicherry
31
Region
See details given against same variable of Dataset of Block-3
5993
0
1
Region-1
2059
2
Region-2
1988
3
Region-3
904
4
Region-4
785
5
Region-5
177
6
Region-6
60
7
Region-7
20
Stratum
See details given against same variable of Dataset of Block-3
5993
0
01
89
02
59
03
439
04
279
05
217
06
166
07
202
08
245
09
180
10
198
11
220
12
218
13
259
14
129
15
145
16
194
17
195
18
156
19
124
20
135
21
188
22
164
23
178
24
100
25
122
26
118
27
82
28
109
29
102
30
84
31
117
32
79
33
45
34
53
35
69
36
52
37
52
38
26
39
7
40
3
41
4
42
6
43
13
44
24
45
57
46
21
47
6
48
2
49
12
50
8
51
13
52
9
53
10
54
10
55
4
56
7
57
9
58
7
59
10
60
22
61
9
62
5
63
5
65
12
66
3
67
5
68
7
69
7
70
9
71
6
72
16
73
9
74
5
75
4
76
5
77
4
81
3
82
3
83
1
84
1
85
1
86
1
87
3
88
4
89
9
90
3
District
See details given against same variable of Dataset of Block-3
5993
0
01
412
02
296
03
175
04
265
05
339
06
299
07
196
08
215
09
300
10
232
11
242
12
279
13
445
14
283
15
109
16
185
17
166
18
207
19
96
20
70
21
120
22
68
23
125
24
76
25
52
26
56
27
49
28
32
29
33
30
46
31
5
32
7
33
18
34
21
35
28
36
14
37
9
38
6
39
6
40
38
41
47
42
26
43
27
44
68
45
27
46
8
47
11
48
9
49
14
50
4
51
5
52
11
53
2
54
8
55
23
56
6
57
27
58
10
59
9
61
3
62
3
63
1
64
9
65
4
66
1
69
2
70
3
71
1
72
4
Sub round
See details given against same variable of Dataset of Block-3
5993
0
1
Region-1
1644
2
Region-2
1548
3
Region-3
1397
4
Region-4
1404
5
Region-5
0
6
Region-6
0
7
Region-7
0
Sub sample
See details given against same variable of Dataset of Block-3
5993
0
1
Sub-sample-1
801
2
Sub-sample-2
843
3
Sub-sample-3
814
4
Sub-sample-4
734
5
Sub-sample-5
692
6
Sub-sample-6
705
7
Sub-sample-7
712
8
Sub-sample-8
692
First stage Unit no
See details given against same variable of Dataset of Block-3
5993
0
Visit no
See details given against same variable of Dataset of Block-3
5993
0
1
5993
Segment no
See details given against same variable of Dataset of Block-3
5993
0
1
2900
2
3093
Stage-2 stratum
See details given against same variable of Dataset of Block-3
5993
0
01
56
02
5937
Sample hhold no
See details given against same variable of Dataset of Block-3
5993
0
01
19
02
999
03
8
04
980
05
2
06
925
07
5
08
652
09
2
10
550
12
611
13
3
14
608
15
2
16
237
17
2
18
156
19
1
20
146
22
43
24
42
Hereditary loan (Rs)
5993
0
0
70000
120.491
1576.65
Amount of loan contracted by the household under Nature of loan code-1
Loan contracted in cash(Rs)
Nature of loan
5993
0
0
625000
5157.054
14433.766
Amount of loan contracted by the household under Nature of loan code-2
Loan contracted in kind (Rs)
Nature of loan
5993
0
0
51500
485.995
2005.547
Amount of loan contracted by the household under Nature of loan code-3
Nature of loan
5993
0
0
150000
266.853
2651.262
Amount of loan contracted by the household under Nature of loan code-4
Loan of other nature(Rs)
Nature of loan
5993
0
0
210000
1976.223
7486.036
Amount of loan contracted by the household under Nature of loan code-others
Loan thru government Source(Rs)
Source of Loan
5993
0
0
300000
386.039
4812.135
Amount of loan contracted by the household under Source of loan code-1
Loan thru co-operative society (Rs)
Source of Loan
5993
0
0
154525
715.117
5029.522
Amount of loan contracted by the household under Source of loan code-2
Loan thru bank(Rs)
Source of Loan
5993
0
0
150000
1083.855
5606.975
Amount of loan contracted by the household under Source of loan code-3
Loan thru employer/landlord(Rs)
Source of Loan
5993
0
0
151000
443.324
3758.03
Amount of loan contracted by the household under Source of loan code-4
Loan thru agricul-tural/professional money lender(Rs)
Source of Loan
5993
0
0
169500
1787.725
6583.785
Amount of loan contracted by the household under Source of loan code-5
Loan thru shop-keeper/trader(Rs)
Source of Loan
5993
0
0
40000
476.476
1578.238
Amount of loan contracted by the household under Source of loan code-6
Loan thru rela-tives/friends(Rs)
Source of Loan
5993
0
0
155000
875.143
4199.197
Amount of loan contracted by the household under Source of loan code-7
Loan thru other sources(Rs)
Source of Loan
5993
0
0
92000
264.817
2767.31
Amount of loan contracted by the household under Source of loan code-9
Loan thru none of above
Source of Loan
5993
0
0
210000
1974.121
7479.358
Amount of loan contracted by the household under Source of loan code-Other
Purpose of Loan
5993
0
0
90000
679.794
3227.351
Amount of loan contracted by the household under Purpose of loan code-1
Purpose of Loan
5993
0
0
25200
32.375
599.556
Amount of loan contracted by the household under Purpose of loan code-2
Purpose of Loan
5993
0
Amount of loan contracted by the household under Purpose of loan code-3
Loan for other consumption expenses (Rs)
Purpose of Loan
5993
0
0
46000
915.703
2305.753
Amount of loan contracted by the household under Purpose of loan code-4
Loan for marriage and other ceremonial expenses (Rs)
Purpose of Loan
5993
0
0
152333
1333.86
6610.698
Amount of loan contracted by the household under Purpose of loan code-5
Loan for purchase of land / construction of building(Rs)
Purpose of Loan
5993
0
0
625000
1387.483
11259.925
Amount of loan contracted by the household under Purpose of loan code-6
Purpose of Loan
5993
0
0
210000
1048.012
4828.326
Amount of loan contracted by the household under Purpose of loan code-7
Purpose of Loan
5993
0
0
120000
73.254
1698.871
Amount of loan contracted by the household under Purpose of loan code-8
Loan for other purposes(Rs)
Purpose of Loan
5993
0
0
90000
557.936
3693.247
Amount of loan contracted by the household under Purpose of loan code-9
Loan for none of above( fRs)
Purpose of Loan
5993
0
0
210000
1973.453
7479.177
Amount of loan contracted by the household under Purpose of loan code-others
Nss
5993
0
1
2923
2
2866
3
121
4
74
5
9
SS_replicate
5993
0
1
11
2
1682
3
4300
Multiplier Posted(0.00)
5993
0
55.06
400747.12
18410.478
16688.038
Multiplier sub round combined (generated)
5993
0
27.53
200373.56
9214.533
8344.041
See details given against same variable of Dataset of Block-3
Key to identify Household
596686
0
See details given against same variable of Dataset of Block-3
Key to identify Person
596686
0
KEY variable generated to identify a Person sl no. by combining the variables:-(Sub round,Sub sample,First stage unit no,visit no,Segment no,2nd stage stratum housrhold serial no. and person serial no. )
Record ID(indicate blockno-04)
See details given against same variable of Dataset of Block-3
596686
0
04
596686
Round and schedule
See details given against same variable of Dataset of Block-3
596686
0
552
596686
Sector
See details given against same variable of Dataset of Block-3
596686
0
1
Rural
371187
2
Urban
225499
State
See details given against same variable of Dataset of Block-3
596686
0
02
Andhra Pradesh
38685
03
Arunachal Pradesh
4972
04
Assam
22218
05
Bihar
51212
06
Goa
2039
07
Gujarat
25709
08
Haryana
10180
09
Himachal Pradesh
11252
10
Jammu & Kashmir
12965
11
Karnataka
25558
12
Kerala
21294
13
Madhya Pradesh
44794
14
Maharashtra
44473
15
Manipur
7347
16
Meghalaya
6409
17
Mizoram
6198
18
Nagaland
3497
19
Orissa
21636
20
Punjab
20293
21
Rajasthan
28853
22
Sikkim
6265
23
Tamil Nadu
33820
24
Tripura
7077
25
Uttar Pradesh
81761
26
West Bengal
37400
27
A & N Islands
2427
28
Chandigarh
3839
29
Dadra & Nagar Haveli
1289
30
Daman & Diu
1730
31
Delhi
5913
32
Lakshdweep
2769
33
Pondicherry
2812
Region
See details given against same variable of Dataset of Block-3
596686
0
1
Region-1
217054
2
Region-2
162082
3
Region-3
102681
4
Region-4
79793
5
Region-5
22410
6
Region-6
7000
7
Region-7
5666
Stratum
See details given against same variable of Dataset of Block-3
596686
0
01
12493
02
35877
03
23719
04
23285
05
15191
06
14467
07
31299
08
99154
09
28537
10
74422
11
10722
12
11292
13
11026
14
8095
15
7413
16
6984
17
8014
18
8317
19
7640
20
8080
21
8470
22
7208
23
8629
24
7813
25
7729
26
6607
27
5856
28
6013
29
4841
30
5282
31
4645
32
3529
33
3389
34
3800
35
3366
36
2873
37
3374
38
2072
39
1667
40
1514
41
2084
42
1642
43
1981
44
2038
45
2065
46
936
47
1079
48
994
49
1049
50
1577
51
1708
52
1750
53
1848
54
1188
55
1040
56
1148
57
1230
58
1081
59
1119
60
1676
61
1132
62
1223
63
1031
64
1111
65
1241
66
560
67
610
68
620
69
705
70
634
71
623
72
1455
73
667
74
1394
75
614
76
540
77
583
78
652
79
644
80
599
81
658
82
628
83
530
84
530
85
524
86
511
87
530
88
616
89
527
90
507
91
550
District
See details given against same variable of Dataset of Block-3
596686
0
Sub round
See details given against same variable of Dataset of Block-3
596686
0
1
Sub-round-1
148976
2
Sub-round-2
149889
3
Sub-round-3
148694
4
Sub-round-4
149127
Sub sample
See details given against same variable of Dataset of Block-3
596686
0
1
Sub-sample-1
75298
2
Sub-sample-2
74232
3
Sub-sample-3
74909
4
Sub-sample-4
74426
5
Sub-sample-5
74554
6
Sub-sample-6
74743
7
Sub-sample-7
74208
8
Sub-sample-8
74316
First stage Unit no
See details given against same variable of Dataset of Block-3
596686
0
Visit no
See details given against same variable of Dataset of Block-3
596686
0
1
1st visit
596686
Segment no
See details given against same variable of Dataset of Block-3
596686
0
1
396120
2
200566
Stage-2 stratum
See details given against same variable of Dataset of Block-3
596686
0
01
80589
02
516097
Sample hhold no
See details given against same variable of Dataset of Block-3
596686
0
Person serial no
Serial number of person
All the normally resident members of the sample household will be listed in this block with continuous serial numbers starting from 1 in this column. While listing, the head of the household will be listed first, followed by his/her spouse, the first son, his wife and children, second son, his wife and children, etc. After the sons are listed, the daughters will be listed followed by other relations, dependent, servants, etc.
596686
0
Relation to head
Relation to head:
The family relationship of each member of the household to the head of the household will be recorded in codes in this column. The head of the household, who will be listed first, will be given code 1, corresponding to 'self'.
596650
0
0
NR
14
1
120774
2
97101
3
28434
4
27486
5
228535
6
46898
7
17370
8
28084
9
Servant/employee/other relative/non relative
1954
Sex
Sex
The sex of each member of the household will be recorded as 1 or 2 depending on whether the member is a male or female.
596686
0
1
Male
307608
2
Female
289078
Age(years)
Age (years):
Age of each member in completed years as on the date of survey will be entered in this column, in a two digit formation. Thus, a child who is less than a year old will have an entry '00' and a person who is 35 years and 10 months will have entry '35'. If any person is found to be more than 99 years old, his/her age will be recorded as '99'.
596200
486
0
99
26.117
18.879
Marital status
The marital status of each member will be recorded in this column in codes
596686
0
0
NR
252
1
299557
2
266901
3
27837
4
Divorced/separated
2139
General education
Educational standard General
596686
0
00
NR
728
01
228741
02
Literate through attending : NFEC/AEC
1154
03
977
04
5164
05
102333
06
75816
07
75591
08
50476
09
27381
10
1094
11
1087
12
659
13
25485
Technical education
Educational standard Technical
Technical education standard achieved by the members of the household will be recorded in one of the codes.
596686
0
1
585799
2
Technical degree in agriculture / engineering / technology / medicine etc
2051
3
233
4
2822
5
745
6
488
9
4548
Attendance in edu. Instt.
Is Age Less than 30 years. Ask if yes.
Current attendance in educational institutions and course of study
Age greater than 30,skip to next
382882
0
00
NR
6844
11
18315
12
108861
13
22387
14
45392
15
8246
16
20477
21
393
22
260
23
21551
24
58228
25
33395
26
28359
27
819
28
407
29
136
30
6152
31
36
32
571
33
102
34
90
35
1861
Registered in empl exchange
Age less than 65? Ask if yes
Currently registered with employment exchange: For persons of age below 65 years
Age Greater than 65 years,skip to next
576986
0
0
NR
2877
1
Yes
20685
2
No
553424
Whether staying in the same village/town for last 6 months or more
596686
0
0
NR
519
1
Yes
587513
2
No
8654
Stayed away
Whether during last 365 days stayed away from village/town for 60 days or more for employment or in search of employment
If code is not 1 in col. 11 skip to next
586167
0
1
Yes
6222
2
No
579902
9
Invalid
43
Diff place enumeration
Whether place of enumeration differs from last usual place of residence (upr)
596686
0
1
Yes
155364
2
No
441322
period since leaving(years)
Columns (14) to (20) will be filled in only for those persons whose place of enumeration is different from the place of last upr (i.e., for those with code 1 recorded in col. 13).
Period since leaving the last upr
If code not =1 in Q13 then skip Q14 to 20
155368
0
00
5326
01
One year or more but less than 2 years
8844
02
9170
03
8082
04
6605
05
6945
06
5539
07
4655
08
5630
09
3225
10
7859
11
2696
12
5118
13
3042
14
3300
15
5289
16
3297
17
2660
18
3727
19
2025
20
6675
21
1723
22
3071
23
1820
24
1849
25
3586
26
1700
27
1449
28
1898
29
864
30
4108
31
755
32
1836
33
856
34
821
35
2218
36
893
37
710
38
1108
39
458
40
2922
41
385
42
1163
43
493
44
448
45
1522
46
455
47
376
48
651
49
196
50
1598
51
253
52
679
53
294
54
215
55
566
56
167
57
105
58
183
59
46
60
461
61
43
62
117
63
66
64
52
65
147
66
33
67
27
68
40
69
10
70
78
71
3
72
29
73
4
74
9
75
31
76
4
77
1
78
6
79
4
80
34
81
1
82
5
83
1
84
1
85
6
86
2
87
1
88
1
90
2
location last residence
Columns (14) to (20) will be filled in only for those persons whose place of enumeration is different from the place of last upr (i.e., for those with code 1 recorded in col. 13).
If code not =1 in Q13 then skip Q14 to 20
Location refers to the type of last usual place of residence of the person. The relevant code, as per the structure given below, is to be assigned
155359
0
0
NR
348
1
74298
2
14288
3
Same state butAnother district:Rural
27889
4
Same state butAnother district:Urban
14872
5
12943
6
8902
7
1819
Last resd state code
Columns (14) to (20) will be filled in only for those persons whose place of enumeration is different from the place of last upr (i.e., for those with code 1 recorded in col. 13).
If code not =1 in Q13 then skip Q14 to 20
The state/u.t./country to which the last upr belongs to will be recorded in these columns. While the name will be written in col. 16, the codes for states and union territories in India will be assigned in col. 17 and will be the same as those used in the list of NSS regions, appended to the instructions. Use specific codes given for the Countries to which the last upr belongs
155349
0
00
NR
626
02
Andhra Pradesh
10208
03
Arunachal Pradesh
158
04
Assam
2400
05
Bihar
10526
06
Goa
557
07
Gujarat
8033
08
Haryana
3286
09
Himachal Pradesh
3991
10
Jammu & Kashmir
2033
11
Karnataka
7570
12
Kerala
6979
13
Madhya Pradesh
11066
14
Maharashtra
13901
15
Manipur
129
16
Meghalaya
82
17
Mizoram
49
18
Nagaland
768
19
Orissa
5769
20
Punjab
6595
21
Rajasthan
9258
22
Sikkim
1267
23
Tamil Nadu
10557
24
Tripura
767
25
Uttar Pradesh
24824
26
West Bengal
9469
27
A & N Islands
583
28
Chandigarh
177
29
Dadra & Nagar Haveli
170
30
Daman & Diu
165
31
Delhi
869
32
Lakshdweep
358
33
Pondicherry
369
51
Bangla Desh
573
52
Nepal
310
53
Pakistan
366
54
Sri Lanka
62
55
Bhutan
24
56
Gulf countries
309
57
other Asian Countries
77
58
USA
7
59
Canada
2
60
Other countries of North&
5
61
UK
12
62
Other countries of Europe
13
63
Countries of Africa
22
64
Rest of the World
8
Acty status at migration
Columns (14) to (20) will be filled in only for those persons whose place of enumeration is different from the place of last upr (i.e., for those with code 1 recorded in col. 13).
Usual activity status at the time of leaving last upr
If code not =1 in Q13 then skip Q14 to 20
155310
0
11
Own account worker
5846
12
Employer
171
21
Worked as helper in h.h. enterprise (unpaidfamily worker)
7860
31
Worked as regular salaried/wage employee
9460
41
Worked as casual wage labour: in public works
82
51
Worked as casual wage labour:in other types of work
11741
81
Did not work but was seeking and/or available for work
3607
91
Attended educational institution
18200
92
Attended domestic duties only
67996
93
Attended domestic duties and was also engaged in free collection of goods for household use
17380
94
Rentiers, pensioners, remittance recipients, etc.
230
95
Not able to work due to disability
122
96
Beggars, prostitutes
30
97
Others
11441
99
Invalid
1144
NIC code 2dgt at migration
Columns (14) to (20) will be filled in only for those persons whose place of enumeration is different from the place of last upr (i.e., for those with code 1 recorded in col. 13).
If code not =1 in Q13 then skip Q14 to 20
35093
0
00
1
01
18784
02
69
03
1
05
103
10
63
11
74
12
5
13
8
14
34
15
349
16
242
17
592
18
385
19
46
20
247
21
62
22
76
23
12
24
200
25
85
26
200
27
88
28
171
29
118
30
10
31
89
32
25
33
16
34
42
35
50
36
252
37
3
40
238
41
38
45
1484
50
105
51
236
52
2718
55
411
60
934
61
63
62
15
63
112
64
146
65
378
66
55
67
9
70
16
71
14
72
31
73
7
74
118
75
2631
80
1365
85
547
90
29
91
106
92
190
93
478
95
107
99
10
Reason migration
Columns (14) to (20) will be filled in only for those persons whose place of enumeration is different from the place of last upr (i.e., for those with code 1 recorded in col. 13).
If code not =1 in Q13 then skip Q14 to 20
For each person who had changed the last upr, the reason for doing so will be ascertained and recorded in terms of codes in this column. Only the reason for leaving the last upr (i.e., the one immediately before coming to the place of enumeration) will be considered. See instrction manual-Chapter 5 for more details.
155327
0
00
NR
585
01
In search of employment
5635
02
In search of better employment
5710
03
To take up employment / better employment
3896
04
Transfer of service/contract
4549
05
Proximity to place of work
528
06
Studies
2839
07
Acquisition of own house/flat
2309
08
Housing problems
1745
09
Social / political problems
1569
10
Health
332
11
Marriage
91400
12
Migration of parent/ earning member
27780
19
Others
6450
Nss
596686
0
1
266925
2
201112
3
47713
4
25934
5
16419
6
9625
7
2778
8
9886
10
36
11
9988
15
6270
ss_replicate
596686
0
1
1380
2
154948
3
440358
Multiplier Posted(o.oo)
596686
0
7.06
549390.88
12270.989
12886.964
Multiplier sub round combined (generated)
596686
0
3.53
274695.44
6144.657
6472.939
See details given against same variable of Dataset of Block-3
Key to identify Household
596686
0
See details given against same variable of Dataset of Block-3
Key to identify person
596686
0
See details given against same variable of Dataset of Block-4
Record ID(indicate blockno-51
See details given against same variable of Dataset of Block-3
596686
0
51
Block 51 data
Round and schedule
See details given against same variable of Dataset of Block-3
596686
0
Sector
See details given against same variable of Dataset of Block-3
596686
0
1
Rural
371187
2
Urban
225499
State
See details given against same variable of Dataset of Block-3
596686
0
02
Andhra Pradesh
38685
03
Arunachal Pradesh
4972
04
Assam
22218
05
Bihar
51212
06
Goa
2039
07
Gujarat
25709
08
Haryana
10180
09
Himachal Pradesh
11252
10
Jammu & Kashmir
12965
11
Karnataka
25558
12
Kerala
21294
13
Madhya Pradesh
44794
14
Maharashtra
44473
15
Manipur
7347
16
Meghalaya
6409
17
Mizoram
6198
18
Nagaland
3497
19
Orissa
21636
20
Punjab
20293
21
Rajasthan
28853
22
Sikkim
6265
23
Tamil Nadu
33820
24
Tripura
7077
25
Uttar Pradesh
81761
26
West Bengal
37400
27
A & N Islands
2427
28
Chandigarh
3839
29
Dadra & Nagar Haveli
1289
30
Daman & Diu
1730
31
Delhi
5913
32
Lakshdweep
2769
33
Pondicherry
2812
Region
See details given against same variable of Dataset of Block-3
596686
0
1
Region-1
217054
2
Region-2
162082
3
Region-3
102681
4
Region-4
79793
5
Region-5
22410
6
Region-6
7000
7
Region-7
5666
Stratum
See details given against same variable of Dataset of Block-3
596686
0
01
12493
02
35877
03
23719
04
23285
05
15191
06
14467
07
31299
08
99154
09
28537
10
74422
11
10722
12
11292
13
11026
14
8095
15
7413
16
6984
17
8014
18
8317
19
7640
20
8080
21
8470
22
7208
23
8629
24
7813
25
7729
26
6607
27
5856
28
6013
29
4841
30
5282
31
4645
32
3529
33
3389
34
3800
35
3366
36
2873
37
3374
38
2072
39
1667
40
1514
41
2084
42
1642
43
1981
44
2038
45
2065
46
936
47
1079
48
994
49
1049
50
1577
51
1708
52
1750
53
1848
54
1188
55
1040
56
1148
57
1230
58
1081
59
1119
60
1676
61
1132
62
1223
63
1031
64
1111
65
1241
66
560
67
610
68
620
69
705
70
634
71
623
72
1455
73
667
74
1394
75
614
76
540
77
583
78
652
79
644
80
599
81
658
82
628
83
530
84
530
85
524
86
511
87
530
88
616
89
527
90
507
91
550
District
See details given against same variable of Dataset of Block-3
596686
0
Sub round
See details given against same variable of Dataset of Block-3
596686
0
1
Sub-round-1
148976
2
Sub-round-2
149889
3
Sub-round-3
148694
4
Sub-round-4
149127
Sub sample
See details given against same variable of Dataset of Block-3
596686
0
1
Sub-sample-1
75298
2
Sub-sample-2
74232
3
Sub-sample-3
74909
4
Sub-sample-4
74426
5
Sub-sample-5
74554
6
Sub-sample-6
74743
7
Sub-sample-7
74208
8
Sub-sample-8
74316
First stage Unit no
See details given against same variable of Dataset of Block-3
596686
0
Visit no
See details given against same variable of Dataset of Block-3
596686
0
1
1st visit
596686
Segment no
See details given against same variable of Dataset of Block-3
596686
0
1
396120
2
200566
Stage-2 stratum
See details given against same variable of Dataset of Block-3
596686
0
01
80589
02
516097
Sample hhold no
See details given against same variable of Dataset of Block-3
596686
0
person srl.
Serial number of Person
The entries in this columns is to be copied from col. 1 of block 4, for each of the members of the household.
595529
0
Age(years)
Age in years
The entries in this columns is to be copied from col. 5 of block 4, for each of the members of the household.
595047
1639
0
99
26.119
18.879
Principal acty status
Principal usual activity status
595529
0
11
70375
12
2589
21
40020
31
41989
41
609
51
54248
81
7505
91
146650
92
79316
93
Attended domestic duties and engaged in free collection of goods for hh. use
37814
94
5033
95
3935
96
215
97
44009
99
61222
Principal NIC code
Principal industry code (5dgt)
209830
0
209830
0
Engaged in sub acty
Whether engaged in any work in a subsidiary capacity (yes-1, no-2)
596686
0
1
Yes
58602
2
No
538084
No of sub acty
If code 1 in Q (7), Number of subsidiary activities during last 365 days
For persons having code 1 in column (7), the number of subsidiary activities pursued by him/her during last 365 days will be ascertained and recorded in terms of code.The activities having different work status will be considered as different activities. Activities within the same work status but with different industry and/or occupation will also be considered as different activities.
58602
0
1
53909
2
4510
3
Three or more activities
183
Location work place
Entries 10 to 99 in col. 5 ? Ask this question.
Location of workplace (code)
104138
0
00
NR
8827
10
4682
11
7935
12
7618
13
1827
14
Rural areas-Employer’s enterprise/unit/office/shop but outside employer’s dwelling
11000
15
973
16
3337
19
2579
21
6861
22
11527
23
2493
24
Urban areas-Employer’s enterprise/unit/office/shop but outside employer’s dwelling
25285
25
1831
26
3657
29
3706
Entpr type
Entries 10 to 99 in col. 5 ? Ask this question.
Enterprise type
The type of enterprise in which the household member is working is to be recorded under this column.
104138
0
0
NR
8134
1
59651
2
5246
3
2272
4
1558
5
15344
6
1541
7
6948
9
3444
Keeps accnts?
Entries 10 to 99 in col. 5 ? Ask this question.
Whether keeps written accounts (yes -1, no -2, not known -9)
104138
0
0
Not applicable
8072
1
33754
2
50987
9
Not known
11325
No of workers(code)
Entries 10 to 99 in col. 5 ? Ask this question.
Number of workers
104138
0
0
Not applicable
9264
1
57583
2
7632
3
10 & above but less than 20
6144
4
14432
9
9083
Uses electricity?
Entries 10 to 99 in col. 5 ? Ask this question.
Whether uses electricity for manufacturing (yes -1, no -2, not known -9)
24484
0
0
Not applicable
2860
1
9770
2
11272
9
582
Workd under specification
If code 11, 12 or 21 in col. 3 ask this question.
Whether worked under given specifications
112984
0
0
Not applicable
71497
1
Yes: wholly
6338
2
1910
3
1581
4
30270
9
1388
Who provided credit etc
If code 11, 12 or 21 in col. 3 and code 1 or 2 in col. 14. ask this question.
Who provided credit / raw material / equipment
8248
0
0
Not applicable
388
1
3566
2
Provided by the enterprise: credit only
271
3
3087
4
81
5
427
6
13
7
214
8
114
9
87
No of outlets
If code 11, 12 or 21 in col. 3 and code 1 or 2 in col. 14. ask this question.
No. of outlets of disposal
Here, the outlet means the 'employer' for whom the self-employed is working. There may be cases where the self-employed may be working under the specifications of more than one 'employers'. Appropriate code depending upon the cases may be recorded.
8248
0
0
Not applicable
510
1
5041
2
259
3
1620
9
818
Payment basis
If code 11, 12 or 21 in col. 3 and code 1 or 2 in col. 14. ask this question.
Basis of payment
8248
0
0
Not applicable
553
1
5437
2
Contract rate
2258
Type of specification
If code 11, 12 or 21 in col. 3 and code 1 or 2 in col. 14. ask this question.
Type of specifications
The specifications laid by the 'employer' may be written one or oral and accordingly, code 1 or 2 will be recorded
8248
0
0
Not applicable
546
1
1104
2
6282
9
Not known
316
Skill possed
If Age 15 + with codes 81-97 in col. 3 ask this question.
For persons of age 15 years and above (15+) having codes 81-97 in col.3, skill possessed
If Age (Q.2) is less than 15 skip
186881
0
00
Not applicable
4854
01
1405
02
158
03
535
04
327
05
46
06
77
07
6
08
554
09
3166
10
8375
11
103
12
31
13
67
14
52
15
4
16
222
17
63
18
142
19
110
20
5
21
39
22
22
23
17
24
32
25
141
26
89
27
247
28
5
29
28
30
99
31
388
32
20
33
2
34
17
35
244
36
29
37
16
38
110
39
54
40
79
41
3306
99
161595
Period seeking work
For codes other than 81 in column (3), period of seeking/availability for work for some period during last 365 days:
589142
0
0
NR
65
1
Yes,Less than 1 month
2408
2
17673
3
14318
4
554678
Nss
596686
0
1
266925
2
201112
3
47713
4
25934
5
16419
6
9625
7
2778
8
9886
10
36
11
9988
15
6270
ss_replicate
596686
0
1
1380
2
154948
3
440358
Multiplier Posted(o.oo)
596686
0
7.06
549390.88
12270.989
12886.964
Multiplier Subround Combined(generated)
596686
0
3.53
274695.44
6144.657
6472.939
See details given against same variable of Dataset of Block-3
Key to identify household
19228
0
See details given against same variable of Dataset of Block-3
Key to identify person
19228
0
See details given against same variable of Dataset of Block-3
Key to identify person sub activty no
See details given against same variable of Dataset of Block-3
19228
0
Record ID(indicate blockno-71)
See details given against same variable of Dataset of Block-3
19228
0
52
Block 5.2 data
19228
Round and schedule
See details given against same variable of Dataset of Block-3
19228
0
552
19228
Sector
See details given against same variable of Dataset of Block-3
19228
0
1
Rural
16212
2
Urban
3016
State
See details given against same variable of Dataset of Block-3
19228
0
02
Andhra Pradesh
567
03
Arunachal Pradesh
70
04
Assam
1055
05
Bihar
1003
06
Goa
25
07
Gujarat
1045
08
Haryana
724
09
Himachal Pradesh
1109
10
Jammu & Kashmir
880
11
Karnataka
307
12
Kerala
1032
13
Madhya Pradesh
990
14
Maharashtra
836
15
Manipur
320
16
Meghalaya
13
17
Mizoram
144
18
Nagaland
253
19
Orissa
1117
20
Punjab
1661
21
Rajasthan
1480
22
Sikkim
28
23
Tamil Nadu
507
24
Tripura
22
25
Uttar Pradesh
3125
26
West Bengal
622
27
A & N Islands
32
28
Chandigarh
57
29
Dadra & Nagar Haveli
2
30
Daman & Diu
22
31
Delhi
46
32
Lakshdweep
123
33
Pondicherry
11
Region
See details given against same variable of Dataset of Block-3
19228
0
1
Region-1
7204
2
Region-2
5991
3
Region-3
3148
4
Region-4
2127
5
Region-5
507
6
Region-6
135
7
Region-7
116
Stratum
See details given against same variable of Dataset of Block-3
19228
0
01
473
02
286
03
818
04
668
05
896
06
815
07
606
08
1919
09
1075
10
1825
11
776
12
857
13
651
14
340
15
400
16
210
17
398
18
311
19
570
20
414
21
297
22
232
23
320
24
356
25
297
26
164
27
88
28
244
29
118
30
105
31
109
32
87
33
31
34
57
35
111
36
109
37
84
38
74
39
36
40
55
41
67
42
26
43
36
44
95
45
69
46
27
47
18
48
24
49
28
50
90
51
103
52
56
53
144
54
52
55
26
56
47
57
50
58
24
59
9
60
46
61
51
62
35
63
53
64
52
65
72
66
27
67
27
68
34
69
70
70
41
71
7
72
28
73
19
74
3
75
3
76
2
77
4
78
34
79
45
80
10
81
7
82
54
83
21
84
24
85
35
86
26
87
48
88
43
89
24
90
4
91
6
District
See details given against same variable of Dataset of Block-3
19228
0
Sub round
See details given against same variable of Dataset of Block-3
19228
0
1
Sub-round-1
5100
2
Sub-round-2
4712
3
Sub-round-3
4648
4
Sub-round-4
4768
Sub sample
See details given against same variable of Dataset of Block-3
19228
0
1
Sub-sample-1
2721
2
Sub-sample-2
2379
3
Sub-sample-3
2343
4
Sub-sample-4
2369
5
Sub-sample-5
2280
6
Sub-sample-6
2368
7
Sub-sample-7
2488
8
Sub-sample-8
2280
First stage Unit no
See details given against same variable of Dataset of Block-3
19228
0
Visit no
See details given against same variable of Dataset of Block-3
19228
0
1
1st visit
19228
Segment no
See details given against same variable of Dataset of Block-3
19228
0
1
12080
2
7148
Stage-2 stratum
See details given against same variable of Dataset of Block-3
19228
0
01
2877
02
16351
Sample hhold no
See details given against same variable of Dataset of Block-3
19228
0
Person serial no.
Serial number of Person
19228
0
Age(years)
19228
0
5
88
33.52
13.921
Sub acty status
Subsidiary activity status
Only the subsidiary economic activity particulars will be recorded in this block. Activity status codes 11, 12, 21, 31, 41 and 51 relate to economic activity and only these codes are applicable for col.3,
19228
0
11
Worked in hh. enterprise (self-employed) as own account worker
5011
12
Worked in hh. enterprise (self-employed) as employer
302
21
Worked as helper in hh. enterprises (unpaid familyworker)
11135
31
worked as regular salaried/wage employee
248
41
Worked as casual wage labour : in public works
39
51
In other types of work
2493
Sub acty industry
Subsidiary industry code (5dgt)
5 digit industry sub-class code as in NIC 1998 is to be recorded in col. 5
19228
0
Sub acty NCO
Subsidiary occupation code (3dgt)
3 digit occupation code as in NCO 1968 is to be recorded in col. 6
19228
0
Location entpr
If code 11, 12 or 21 in col. 3 ask this question.
Location of workplace (code)
3622
0
00
Not applicable
464
10
121
11
1079
12
212
13
71
14
129
15
18
16
60
19
48
21
782
22
190
23
99
24
215
25
26
26
50
29
58
Entpr type
If code 11, 12 or 21 in col. 3 ask this question.
Enterprise type
The type of enterprise in which the household member is working is to be recorded under this column.
3622
0
0
Not applicable
421
1
1719
2
1133
3
66
4
40
5
68
6
13
7
Others co-op society, public,pvt company other units covered underASI)
87
9
75
Keep accnts?
If code 11, 12 or 21 in col. 3 ask this question.
3622
0
0
Not applicable
424
1
306
2
2642
9
Not known
250
Workers? (code)
If code 11, 12 or 21 in col. 3 ask this question.
3622
0
0
Not applicable
444
1
2718
2
142
3
10 & above but less than 20
82
4
99
9
137
Use electricity?
If code 11, 12 or 21 in col. 3 ask this question.
Whether uses electricity for manufacturing (yes -1, no -2, not known -9)
1574
0
0
Not applicable
106
1
147
2
1255
9
Not known
66
Work specifications?
If code 11, 12 or 21 in col. 3 ask this question.
Whether worked under given specifications
16448
0
0
Not applicable
14033
1
Yes: wholly
508
2
130
3
144
4
1580
9
53
Who provide credit etc?
If code 11, 12 or 21 in col. 3 and code 1 or 2 in col. 12. ask this question.
Who provided credit / raw material / equipment
638
0
0
Not applicable
13
1
161
2
Provided by the enterprise: credit only
28
3
343
4
4
5
30
6
7
7
41
8
5
9
6
Outlets?
If code 11, 12 or 21 in col. 3 and code 1 or 2 in col. 12. ask this question.
No. of outlets of disposal
Here, the outlet means the 'employer' for whom the self-employed is working. There may be cases where the self-employed may be working under the specifications of more than one 'employers'. Appropriate code depending upon the cases may be recorded.
638
0
0
Not applicable
19
1
475
2
19
3
Three or more outlets
85
9
40
Payment mode?
If code 11, 12 or 21 in col. 3 and code 1 or 2 in col. 12. ask this question.
Basis of payment
638
0
0
Not applicable
22
1
471
2
Contract rate
145
Specification type
If code 11, 12 or 21 in col. 3 and code 1 or 2 in col. 12. ask this question.
Type of specifications
The specifications laid by the 'employer' may be written one or oral and accordingly, code 1 or 2 will be recorded
638
0
0
Not applicable
17
1
52
2
544
3
Not known
0
9
Invalid
25
No of sub acty
Subsidiary activity status number(1/2)
Subsidiary status number 1 or 2 may be recorded here.
19228
0
1
1st sub activity
17670
2
2nd sub activity
1558
Nss
19228
0
1
10194
2
6847
3
1071
4
379
5
329
6
161
7
15
8
74
11
113
15
45
ss_replicate
19228
0
1
61
2
5303
3
13864
Multiplier Posted(0.00)
19228
0
11.5
443929.68
12955.617
12126.895
Multiplier Subround Combined(generated)
19228
0
5.75
221964.84
6508.868
6291.157
See details given against same variable of Dataset of Block-3
Key to identify household
700932
0
Key to identify person
700932
0
Key to identify person activity slno
700932
0
Record ID(indicate blockno-53)
See details given against same variable of Dataset of Block-3
700932
0
53
Block 5.3 data
700932
Round and schedule
See details given against same variable of Dataset of Block-3
700932
0
552
700932
Sector
See details given against same variable of Dataset of Block-3
700932
0
1
Rural
441547
2
Urban
259385
State
See details given against same variable of Dataset of Block-3
700932
0
02
Andhra Pradesh
45859
03
Arunachal Pradesh
6101
04
Assam
26622
05
Bihar
57629
06
Goa
2511
07
Gujarat
33584
08
Haryana
11663
09
Himachal Pradesh
12759
10
Jammu & Kashmir
14156
11
Karnataka
29836
12
Kerala
26252
13
Madhya Pradesh
50191
14
Maharashtra
56398
15
Manipur
8589
16
Meghalaya
8420
17
Mizoram
8505
18
Nagaland
4438
19
Orissa
24911
20
Punjab
23143
21
Rajasthan
30917
22
Sikkim
7344
23
Tamil Nadu
43542
24
Tripura
7429
25
Uttar Pradesh
91597
26
West Bengal
42667
27
A & N Islands
2794
28
Chandigarh
4562
29
Dadra & Nagar Haveli
1784
30
Daman & Diu
2504
31
Delhi
7282
32
Lakshdweep
3329
33
Pondicherry
3614
Region
See details given against same variable of Dataset of Block-3
700932
0
1
Region-1
259087
2
Region-2
190817
3
Region-3
116576
4
Region-4
92616
5
Region-5
27851
6
Region-6
7951
7
Region-7
6034
Stratum
See details given against same variable of Dataset of Block-3
700932
0
01
15121
02
41778
03
29056
04
27366
05
18449
06
18304
07
37185
08
113628
09
32992
10
86168
11
13035
12
13822
13
13238
14
9600
15
8913
16
8479
17
9617
18
10062
19
9559
20
9625
21
9807
22
8566
23
10220
24
9209
25
9211
26
7974
27
6970
28
7363
29
5533
30
6144
31
5388
32
4117
33
3991
34
4448
35
4024
36
3341
37
3776
38
2329
39
1867
40
1722
41
2410
42
1930
43
2205
44
2443
45
2480
46
1073
47
1272
48
1118
49
1179
50
1732
51
1859
52
1970
53
1990
54
1380
55
1250
56
1394
57
1479
58
1193
59
1258
60
1908
61
1253
62
1368
63
1175
64
1297
65
1431
66
627
67
698
68
714
69
856
70
745
71
700
72
1575
73
740
74
1525
75
680
76
580
77
627
78
729
79
668
80
624
81
694
82
681
83
561
84
643
85
589
86
552
87
583
88
680
89
621
90
598
91
598
District
See details given against same variable of Dataset of Block-3
700932
0
Sub round
See details given against same variable of Dataset of Block-3
700932
0
1
Sub-round-1
178738
2
Sub-round-2
176337
3
Sub-round-3
173942
4
Sub-round-4
171915
Sub sample
See details given against same variable of Dataset of Block-3
700932
0
1
Sub-sample-1
90325
2
Sub-sample-2
88413
3
Sub-sample-3
88275
4
Sub-sample-4
88062
5
Sub-sample-5
86848
6
Sub-sample-6
87094
7
Sub-sample-7
85902
8
Sub-sample-8
86013
First stage Unit no
See details given against same variable of Dataset of Block-3
700932
0
Visit no
See details given against same variable of Dataset of Block-3
700932
0
1
1st visit
700932
Segment no
See details given against same variable of Dataset of Block-3
700932
0
1
464126
2
236806
Stage-2 stratum
See details given against same variable of Dataset of Block-3
700932
0
01
92890
02
608042
Sample hhold no
See details given against same variable of Dataset of Block-3
700932
0
person serial no
700932
0
Age (years)
700445
487
Activity slno
Serial no. of activity
700932
0
01
596686
02
99087
03
4853
04
304
05
2
Acty status
Status code
700932
0
11
83116
12
2835
21
51374
31
42182
41
784
51
52748
61
1117
62
11776
71
585
72
13483
81
Situation of being not available for work (not in labour force)sought work
16231
82
5215
91
143454
92
91632
93
Attended domestic duties & engaged in free collection of Goodsetc.for hh. use
41215
94
4869
95
4095
96
214
97
others
69848
98
Did not work due to sickness (for casual workers only
2389
99
61770
Acty industry division
Industry (division):
For each status code grouped under the activity category 'working' (i.e., for the status codes 11-72 recorded in column 4), the sector of activity in two digit code i.e., the industry division (NIC 1998) will be entered in column (5) in terms of the specified code numbers.
260006
0
01
131087
02
1135
05
1281
10
529
11
279
12
81
13
101
14
856
15
4125
16
2076
17
5400
18
3341
19
661
20
2718
21
386
22
753
23
159
24
1284
25
761
26
1874
27
961
28
1614
29
907
30
61
31
606
32
221
33
84
34
390
35
356
36
2427
37
15
40
965
41
175
45
10749
50
1690
51
3146
52
29023
55
3664
60
8604
61
265
62
161
63
496
64
1091
65
1680
66
289
67
124
70
167
71
271
72
419
73
54
74
1457
75
10722
80
7773
85
2681
90
343
91
695
92
672
93
4796
95
1294
99
11
Type of opern(rural)
Operation code (for rural only)
169845
0
01
8809
02
4468
03
4531
04
10437
05
19085
06
39674
07
827
08
3003
09
10730
10
579
11
Other agricultural activities
18117
12
Manual work in non-agricultural activities
21884
13
2920
14
Activities other than cultivation
24781
Intensity acty total days(0.0)
Total number of days in each activity
700932
0
0.5
7
5.959
1.888
Earning cash(Rs)
100776
600156
0
311041
559.622
1250.056
Earning kind(Rs)
Salary earnings (received or receivable) for the work done during the week (Rs):
Details in Q.15
18767
682165
0
8750
93.075
145.912
Total earnings-recvd (Rs)
Total Wgae/Salary earnings (received or receivable) for the work done during the week (Rs):
Details in Q.15
104296
596636
0
311070
557.483
1231.737
Mode payment
Mode of payment
95415
0
00
Not applicable
36
01
11690
02
4644
03
461
04
6763
05
586
06
1656
07
295
08
33
09
81
10
168
11
2388
12
579
13
307
14
456
15
278
16
14454
17
5306
18
700
19
35200
20
634
21
1041
22
198
23
33
24
513
25
242
26
3625
27
478
28
95
29
1975
30
500
Nominal wrk days
Total number of days with nominal work
700932
0
Weekly acty status
Current weekly status (codes)
Based on the activity statuses obtaining for a person on the seven days of the reference week, the current weekly status is to be identified and the status code so obtained is to be recorded here
700932
0
11
98189
12
3491
21
64536
31
56710
41
1096
51
75543
61
836
62
3603
71
371
72
1469
81
Situation of being not available for work (not in labour force)sought work
9104
82
1192
91
152719
92
79382
93
Attended domestic duties & engaged in free collection of Goodsetc.for hh. use
31504
94
4759
95
4005
96
211
97
others
49814
98
Did not work due to sickness (for casual workers only
628
99
Invalid
61770
Weekly acty NIC
For persons with any of codes 11-72 in column (20), the 5-digit industry (NIC 1998) will be recorded in this column.
305844
0
Weekly acty NCO
305844
0
Nss
700932
0
1
314889
2
238159
3
53591
4
30618
5
19345
6
10575
7
3614
8
11113
10
37
11
10694
15
8297
ss_replicate
700932
0
1
1564
2
185825
3
513543
Multiplier Posted(o.oo)
700932
0
7.06
549390.88
12392.103
12815.717
Multiplier Subround Combined(generated)
700932
0
3.53
274695.44
6205.482
6439.721
See details given against same variable of Dataset of Block-3
Key to locate Household
See details given against same variable of Dataset of Block-3
9455
0
Key to locate Person
See details given against same variable of Dataset of Block-4
9455
0
Record ID(indicate blockno-06)
See details given against same variable of Dataset of Block-3
9455
0
06
Block 6 data
9455
Round and schedule
See details given against same variable of Dataset of Block-3
9455
0
552
9455
Sector
See details given against same variable of Dataset of Block-3
9455
0
1
Rural
4764
2
Urban
4691
State
See details given against same variable of Dataset of Block-3
9455
0
02
Andhra Pradesh
690
03
Arunachal Pradesh
21
04
Assam
414
05
Bihar
704
06
Goa
118
07
Gujarat
232
08
Haryana
118
09
Himachal Pradesh
148
10
Jammu & Kashmir
200
11
Karnataka
307
12
Kerala
987
13
Madhya Pradesh
505
14
Maharashtra
894
15
Manipur
93
16
Meghalaya
36
17
Mizoram
37
18
Nagaland
64
19
Orissa
401
20
Punjab
241
21
Rajasthan
250
22
Sikkim
80
23
Tamil Nadu
679
24
Tripura
61
25
Uttar Pradesh
752
26
West Bengal
930
27
A & N Islands
51
28
Chandigarh
96
29
Dadra & Nagar Haveli
5
30
Daman & Diu
20
31
Delhi
77
32
Lakshdweep
139
33
Pondicherry
105
Region
See details given against same variable of Dataset of Block-3
9455
0
1
Region-1
4258
2
Region-2
2215
3
Region-3
1530
4
Region-4
1020
5
Region-5
314
6
Region-6
82
7
Region-7
36
Stratum
See details given against same variable of Dataset of Block-3
9455
0
01
143
02
720
03
351
04
336
05
162
06
237
07
613
08
2136
09
456
10
1467
11
135
12
224
13
144
14
142
15
158
16
103
17
135
18
116
19
97
20
81
21
120
22
71
23
81
24
71
25
104
26
78
27
67
28
115
29
83
30
54
31
40
32
46
33
32
34
27
35
57
36
38
37
17
38
4
39
7
40
9
41
17
42
3
43
10
44
10
45
8
46
13
47
9
48
8
49
14
50
15
51
13
52
16
53
38
54
4
55
6
56
5
57
6
58
4
59
4
60
5
61
10
62
12
63
8
64
7
65
10
66
4
67
4
68
4
69
4
70
6
71
4
72
5
73
3
74
13
75
5
76
9
77
9
78
4
79
3
80
2
81
10
83
2
84
1
85
4
86
4
87
6
88
6
89
11
District
See details given against same variable of Dataset of Block-3
9455
0
Sub round
See details given against same variable of Dataset of Block-3
9455
0
1
Sub-round-1
2631
2
Sub-round-2
2213
3
Sub-round-3
2391
4
Sub-round-4
2220
Sub sample
See details given against same variable of Dataset of Block-3
9455
0
1
Sub-sample-1
1413
2
Sub-sample-2
1247
3
Sub-sample-3
1118
4
Sub-sample-4
1066
5
Sub-sample-5
1219
6
Sub-sample-6
1172
7
Sub-sample-7
1111
8
Sub-sample-8
1109
First stage Unit no
See details given against same variable of Dataset of Block-3
9455
0
Visit no
See details given against same variable of Dataset of Block-3
9455
0
1
1st visit
9455
Segment no
See details given against same variable of Dataset of Block-3
9455
0
1
6463
2
2992
Stage-2bstratum
See details given against same variable of Dataset of Block-3
9455
0
01
995
02
8460
Sample hhold no
See details given against same variable of Dataset of Block-3
9455
0
Person Serial no
Person Serial no
The serial number of persons with code 1 in column (23) of block 5.3 will be copied in this columns in the same order as they appear in block 5.3.
9455
0
Age(in years)
Age(in years)
9455
0
Whether ever wrkd
Whether ever worked (yes -1, no -2)
9455
0
1
Yes
3331
2
No
6124
Duration
Duration of last employment
The duration of the last employment will be recorded in codes
3320
0
1
Only 1 week
138
2
238
3
2 weeks to 1 month
277
4
268
5
164
6
555
7
594
8
12 months & above
1086
Activity status
Activity status of last employment
Status refers to the status of job like self-employment, casual labour, etc. and the codes used for usual status relating to employment (i.e. 11-51) only will be applicable.
3331
0
11
Worked in hh. enterprise (self-employed) as own account worker
513
12
Worked in hh. enterprise (self-employed) as employer
17
21
Worked as helper in hh. enterprises (unpaid familyworker)
242
31
worked as regular salaried/wage employee
652
41
Worked as casual wage labour : in public works
15
51
In other types of work
1892
NIC1998( 5 digit)
3331
0
NCO1968
NCO1968 of last employment
3 digit occupation code as per NCO 1968, applicable to the last employment will be entered
3142
0
Reason for break
Reason for break of last employment
This column is meant for recording the reason for break in or termination of the last job held by the persons.
3327
0
1
154
2
337
3
40
4
202
5
457
6
1412
9
725
Reason for quitting
Reason for quitting of last employment
For those persons who have quit their job (i.e. code 2 in column 8) the reason for quitting the job will be recorded
342
0
1
119
2
25
3
19
4
17
5
To avail benefits of voluntary retirement
5
9
Others
157
Nss
9455
0
1
3244
2
3496
3
766
4
588
5
427
6
209
7
73
8
172
11
265
15
215
SS_replicate
9455
0
1
14
2
2770
3
6671
Multiplier(0.00)
9455
0
11.5
443929.68
12403.804
20853.485
Multiplier Subround Combined(generated)
9455
0
5.75
221964.84
6203.589
10426.352
See details given against same variable of Dataset of Block-3
Key to identify household
227802
0
See details given against same variable of Dataset of Block-3
Key to identify Person
227802
0
See details given against same variable of Dataset of Block-4
Record ID(indicate blockno-71)
See details given against same variable of Dataset of Block-3
227802
0
71
Block 7.1 data
227802
Round and schedule
See details given against same variable of Dataset of Block-3
227802
0
552
227802
Sector
See details given against same variable of Dataset of Block-3
227802
0
1
Rural
151633
2
Urban
76169
State
See details given against same variable of Dataset of Block-3
227802
0
02
Andhra Pradesh
17572
03
Arunachal Pradesh
1775
04
Assam
7887
05
Bihar
16514
06
Goa
713
07
Gujarat
10809
08
Haryana
3439
09
Himachal Pradesh
5143
10
Jammu & Kashmir
4599
11
Karnataka
11073
12
Kerala
7840
13
Madhya Pradesh
18145
14
Maharashtra
18161
15
Manipur
2603
16
Meghalaya
2795
17
Mizoram
2507
18
Nagaland
1514
19
Orissa
8461
20
Punjab
7879
21
Rajasthan
11314
22
Sikkim
2485
23
Tamil Nadu
15198
24
Tripura
2119
25
Uttar Pradesh
26950
26
West Bengal
12798
27
A & N Islands
1020
28
Chandigarh
1408
29
Dadra & Nagar Haveli
575
30
Daman & Diu
708
31
Delhi
1909
32
Lakshdweep
830
33
Pondicherry
1059
Region
See details given against same variable of Dataset of Block-3
227802
0
1
Region-1
83974
2
Region-2
60381
3
Region-3
38513
4
Region-4
31072
5
Region-5
8869
6
Region-6
3094
7
Region-7
1899
Stratum
See details given against same variable of Dataset of Block-3
227802
0
01
5261
02
12241
03
9562
04
9001
05
6439
06
6370
07
11374
08
34091
09
10321
10
26494
11
4503
12
4822
13
4633
14
3572
15
3311
16
2972
17
3338
18
3361
19
3265
20
3569
21
3538
22
3087
23
3538
24
3291
25
3355
26
2938
27
2471
28
2807
29
2060
30
2009
31
1867
32
1308
33
1433
34
1492
35
1322
36
1271
37
1513
38
873
39
577
40
576
41
722
42
591
43
775
44
880
45
809
46
311
47
382
48
300
49
338
50
542
51
549
52
581
53
632
54
375
55
366
56
402
57
410
58
333
59
385
60
608
61
402
62
397
63
368
64
438
65
419
66
195
67
190
68
216
69
256
70
204
71
231
72
448
73
205
74
422
75
180
76
168
77
178
78
262
79
241
80
189
81
212
82
240
83
188
84
156
85
180
86
170
87
246
88
223
89
152
90
137
91
172
District
See details given against same variable of Dataset of Block-3
227802
0
Sub round
See details given against same variable of Dataset of Block-3
227802
0
1
Sub-round-1
57126
2
Sub-round-2
57468
3
Sub-round-3
56720
4
Sub-round-4
56488
Sub sample
See details given against same variable of Dataset of Block-3
227802
0
1
Sub-sample-1
29060
2
Sub-sample-2
28225
3
Sub-sample-3
28523
4
Sub-sample-4
28786
5
Sub-sample-5
28549
6
Sub-sample-6
28366
7
Sub-sample-7
28222
8
Sub-sample-8
28071
First stage Unit no
See details given against same variable of Dataset of Block-3
227802
0
Visit no
See details given against same variable of Dataset of Block-3
227802
0
1
1st visit
227802
Segment no
See details given against same variable of Dataset of Block-3
227802
0
1
149632
2
78170
Stage-2 stratum
See details given against same variable of Dataset of Block-3
227802
0
01
31114
02
196688
Sample hhold no
See details given against same variable of Dataset of Block-3
227802
0
Person serial no
Person serial no
Persons working in the usual principal or subsidiary status (activity - I) (i.e. those with codes 11-51 either in col. 3 of bl. 5.1 or bl. 5.2 under subsidiary activity status - I):
227802
0
Age(years)
Age(years)
227799
3
5
99
35.983
13.644
principal acty status
principal acty status
The principal activity status and subsidiary activity status (activity - I) will be copied from column (3) of block 5.1 and 5.2 to columns (3) and (4), respectively,
227802
0
11
70483
12
2597
21
40026
31
42119
41
615
51
54292
81
781
91
1726
92
5463
93
Attended domestic duties and engaged in free collection of goods for hh. use
8850
94
335
95
27
96
10
97
478
sub acty status1
see Q3 for details
58602
0
11
22719
12
1017
21
22353
31
639
41
294
51
11580
Full/part time?
Whether engaged mostly in full time or part time work during last 365 days
In column (5) it will be ascertained if the person was engaged mostly in full time work or part time work during last 365 days. Those who are mostly engaged in full time work will be given code 1 and those who are mostly engaged in part time work will be given code 2.
225345
0
1
Full time
204922
2
Part time
20414
9
Invalid
9
Work regularly?
Whether worked more or less regularly during last 365 days (yes -1, no-2):
225251
0
1
Yes
202394
2
No
22820
9
Invalid
37
No of months without work
Approximate no. of months without work (months)
127868
99934
Sought work?
If entry ³ 1 in col. 7, whether sought/available for work during those months:
54735
0
1
22360
2
15478
3
16874
9
Invalid
23
Made effort?
If code 1 or 2 in col. 8, whether made any efforts to get work:
38614
0
1
Yes,Registered in employment exchange
1060
2
24054
3
13464
9
Invalid
36
Sought addl work
Whether sought/available for additional work during the days he/she had work
227802
0
1
Yes,On most days
6494
2
Yes,On some days
10367
3
No
210941
Reason addl work
If code 1 or 2 in col. (10), reason
The reason for seeking/available for additional work will be entered in this column in terms of codes
16281
0
1
To supplement income
9014
2
3171
3
3615
9
Invalid
481
Sought alternate work
Whether sought/available for alternative work during the days he/she had worked
227800
0
1
Yes,On most days
7567
10
0
11
0
12
0
13
invalid
0
2
Yes,On some days
7328
3
212903
9
2
Reason alternate work
If code 1 or 2 in col.(12), reason
For those who 'sought/available' for alternative work at least for some days, the reason for doing so will be recorded in codes
14373
0
1
Present work not remunerative enough
8057
2
1510
3
1448
4
82
5
2218
9
Others
1058
Nss
227802
0
1
104943
2
78608
3
16643
4
8860
5
5924
6
3167
7
1079
8
3234
10
14
11
3105
15
2225
SS replicate
227802
0
1
520
2
59104
3
168178
Multiplier Posted(o.oo)
227802
0
7.06
549390.88
12736.737
12990.842
Multiplier Subround Combined(generated)
227802
0
3.53
274695.44
6379.979
6544.035
See details given against same variable of Dataset of Block-3
Key to identify household
227802
0
See details given against same variable of Dataset of Block-3
Key to identify Person
227802
0
See details given against same variable of Dataset of Block-4
Record ID(indicate blockno-7.2)
See details given against same variable of Dataset of Block-3
227802
0
72
block 7.2 data
227802
Round and schedule
See details given against same variable of Dataset of Block-3
227802
0
552
227802
Sector
See details given against same variable of Dataset of Block-3
227802
0
1
Rural
151633
2
Urban
76169
State
See details given against same variable of Dataset of Block-3
227802
0
02
Andhra Pradesh
17572
03
Arunachal Pradesh
1775
04
Assam
7887
05
Bihar
16514
06
Goa
713
07
Gujarat
10809
08
Haryana
3439
09
Himachal Pradesh
5143
10
Jammu & Kashmir
4599
11
Karnataka
11073
12
Kerala
7840
13
Madhya Pradesh
18145
14
Maharashtra
18161
15
Manipur
2603
16
Meghalaya
2795
17
Mizoram
2507
18
Nagaland
1514
19
Orissa
8461
20
Punjab
7879
21
Rajasthan
11314
22
Sikkim
2485
23
Tamil Nadu
15198
24
Tripura
2119
25
Uttar Pradesh
26950
26
West Bengal
12798
27
A & N Islands
1020
28
Chandigarh
1408
29
Dadra & Nagar Haveli
575
30
Daman & Diu
708
31
Delhi
1909
32
Lakshdweep
830
33
Pondicherry
1059
Region
See details given against same variable of Dataset of Block-3
227802
0
1
Region-1
83974
2
Region-2
60381
3
Region-3
38513
4
Region-4
31072
5
Region-5
8869
6
Region-6
3094
7
Region-7
1899
Stratum
See details given against same variable of Dataset of Block-3
227802
0
01
5261
02
12241
03
9562
04
9001
05
6439
06
6370
07
11374
08
34091
09
10321
10
26494
11
4503
12
4822
13
4633
14
3572
15
3311
16
2972
17
3338
18
3361
19
3265
20
3569
21
3538
22
3087
23
3538
24
3291
25
3355
26
2938
27
2471
28
2807
29
2060
30
2009
31
1867
32
1308
33
1433
34
1492
35
1322
36
1271
37
1513
38
873
39
577
40
576
41
722
42
591
43
775
44
880
45
809
46
311
47
382
48
300
49
338
50
542
51
549
52
581
53
632
54
375
55
366
56
402
57
410
58
333
59
385
60
608
61
402
62
397
63
368
64
438
65
419
66
195
67
190
68
216
69
256
70
204
71
231
72
448
73
205
74
422
75
180
76
168
77
178
78
262
79
241
80
189
81
212
82
240
83
188
84
156
85
180
86
170
87
246
88
223
89
152
90
137
91
172
District
See details given against same variable of Dataset of Block-3
227802
0
Sub round
See details given against same variable of Dataset of Block-3
227802
0
1
Sub-round-1
57126
2
Sub-round-2
57468
3
Sub-round-3
56720
4
Sub-round-4
56488
Sub sample
See details given against same variable of Dataset of Block-3
227802
0
1
Sub-sample-1
29060
2
Sub-sample-2
28225
3
Sub-sample-3
28523
4
Sub-sample-4
28786
5
Sub-sample-5
28549
6
Sub-sample-6
28366
7
Sub-sample-7
28222
8
Sub-sample-8
28071
First stage Unit no
See details given against same variable of Dataset of Block-3
227802
0
Visit no
See details given against same variable of Dataset of Block-3
227802
0
1
1st visit
227802
Segment no
See details given against same variable of Dataset of Block-3
227802
0
1
149632
2
78170
Stage-2 stratum
See details given against same variable of Dataset of Block-3
227802
0
01
31114
02
196688
Sample hhold no
See details given against same variable of Dataset of Block-3
227802
0
Person serial no
Person serial no
227802
0
Age (in years)
Age (in years)
See Q.1 for details
227799
3
5
99
35.983
13.644
Principal Acty status
Usual principal Activity status
227802
0
11
70483
12
2597
21
40026
31
42119
41
615
51
54292
81
781
91
1726
92
5463
93
Attended domestic duties and engaged in free collection of goods for hh. use
8850
94
335
95
27
96
10
97
478
Sub Acty status 1
Usual subsidiary Activity status-1
See Q.5 for details
58602
0
11
22719
12
1017
21
22353
31
639
41
294
51
11580
Any union/association?
Is there any union/association in your activity?
227795
0
1
43171
2
172867
9
Not known
11757
Member union/association?
43171
0
1
Yes
28155
2
No
15016
Nature employment
221883
0
1
Permanent
152439
2
Temporary
69345
9
Invalid
99
Covered provident fund
It will be ascertained from the regular wage/salaried employees whether they are covered under any Provident Fund or not.
218210
0
1
16209
2
4399
3
2048
4
2579
5
No
192975
Changed acty status
Check Q.3 for codes 11:51. If yes ask questions from 9 to 16
Whether during last 2 years changed - work activity status, industry, occupation and establishment along with the earlier position:
Check Q.3 for codes 11:51. If NO skip
227802
0
1
Yes
1155
2
No
226647
Last acty status
if status changed, last activity status
Check Q.3 for codes 11:51. If NO skip
See Q.9 above for details
1155
0
11
279
12
6
21
146
31
314
41
30
51
380
Changed industry?
Whether during last 2 years changed - activity industry
Check Q.3 for codes 11:51. If NO skip
227802
0
1
Yes
1667
2
No
226135
Last industry-2digit
if industry changed, last industry
Check Q.3 for codes 11:51. If NO skip
see Q11 above for details
1674
0
Changed occupation?
Check Q.3 for codes 11:51. If NO skip
Whether or not the person has changed his/her occupation during the last 2 years will be ascertained and code 1 or 2 will be assigned to the person for an affirmative reply or otherwise. For persons with code 1 in col. (13), that is, those reporting a change in occupation, the last occupation will be recorded in col. (14) in terms of 2 digited NCO-1968 codes.
227802
0
1
Yes
1632
2
No
226170
Last occupation
if changed occupation, last occupation
Check Q.3 for codes 11:51. If NO skip
see Q13 above for details
1637
0
changed establishment?
Whether during last 2 years changed - work establishment ?:
Check Q.3 for codes 11:51. If NO skip
227802
0
1
Yes
10074
2
No
217728
Reason for change
Check Q.3 for codes 11:51. If NO skip
In this column, the reason for the last change will be recorded for those who have either changed their industry or occupation or both during the last 2 years i.e., those with codes 1 in col. (11) or (13) of this block.
2256
0
1
117
2
147
3
For better income / remuneration
930
4
125
5
173
6
43
7
55
8
30
9
Others
636
Nss
227802
0
1
104943
2
78608
3
16643
4
8860
5
5924
6
3167
7
1079
8
3234
10
14
11
3105
15
2225
SS replicate
227802
0
1
520
2
59104
3
168178
Multiplier Posted(o.oo)
227802
0
7.06
549390.88
12736.737
12990.842
Multiplier Subround Combined(generated)
227802
0
3.53
274695.44
6379.979
6544.035
See details given against same variable of Dataset of Block-3
Key to locate Person
289078
0
See details given against same variable of Dataset of Block-4
Key to locate hhold
289078
0
See details given against same variable of Dataset of Block-3
Record ID(indicate blockno-08)
See details given against same variable of Dataset of Block-3
289078
0
08
Block 8 data
289078
Round and schedule
See details given against same variable of Dataset of Block-3
289078
0
552
289078
Sector
See details given against same variable of Dataset of Block-3
289078
0
1
Rural
181044
2
Urban
108034
State
See details given against same variable of Dataset of Block-3
289078
0
02
Andhra Pradesh
19121
03
Arunachal Pradesh
2368
04
Assam
10504
05
Bihar
24447
06
Goa
992
07
Gujarat
12512
08
Haryana
4789
09
Himachal Pradesh
5598
10
Jammu & Kashmir
6134
11
Karnataka
12556
12
Kerala
11112
13
Madhya Pradesh
21463
14
Maharashtra
21466
15
Manipur
3586
16
Meghalaya
3225
17
Mizoram
3084
18
Nagaland
1633
19
Orissa
10740
20
Punjab
9514
21
Rajasthan
13854
22
Sikkim
2974
23
Tamil Nadu
16745
24
Tripura
3291
25
Uttar Pradesh
39440
26
West Bengal
18062
27
A & N Islands
1174
28
Chandigarh
1743
29
Dadra & Nagar Haveli
621
30
Daman & Diu
817
31
Delhi
2703
32
Lakshdweep
1381
33
Pondicherry
1429
Region
See details given against same variable of Dataset of Block-3
289078
0
1
Region-1
105315
2
Region-2
78348
3
Region-3
49315
4
Region-4
39212
5
Region-5
10869
6
Region-6
3436
7
Region-7
2583
Stratum
See details given against same variable of Dataset of Block-3
289078
0
01
5944
02
16968
03
11484
04
11392
05
7444
06
7061
07
15115
08
47992
09
13947
10
35862
11
5255
12
5487
13
5320
14
3939
15
3540
16
3328
17
3857
18
4096
19
3670
20
3939
21
4156
22
3524
23
4198
24
3866
25
3730
26
3191
27
2842
28
3005
29
2377
30
2548
31
2234
32
1720
33
1696
34
1813
35
1671
36
1420
37
1656
38
1008
39
812
40
724
41
955
42
759
43
903
44
973
45
994
46
476
47
526
48
464
49
519
50
748
51
816
52
839
53
920
54
575
55
503
56
557
57
603
58
530
59
538
60
800
61
548
62
615
63
487
64
546
65
582
66
270
67
317
68
315
69
351
70
333
71
313
72
760
73
365
74
715
75
355
76
274
77
277
78
313
79
317
80
286
81
308
82
307
83
255
84
249
85
232
86
238
87
253
88
298
89
251
90
248
91
271
District
See details given against same variable of Dataset of Block-3
289078
0
Sub round
See details given against same variable of Dataset of Block-3
289078
0
1
Sub-round-1
72422
2
Sub-round-2
72665
3
Sub-round-3
71783
4
Sub-round-4
72208
Sub sample
See details given against same variable of Dataset of Block-3
289078
0
1
Sub-sample-1
36610
2
Sub-sample-2
36089
3
Sub-sample-3
36280
4
Sub-sample-4
36108
5
Sub-sample-5
36015
6
Sub-sample-6
36063
7
Sub-sample-7
35841
8
Sub-sample-8
36072
First stage Unit no
See details given against same variable of Dataset of Block-3
289078
0
Visit no
See details given against same variable of Dataset of Block-3
289078
0
1
1st visit
289078
Segment no
See details given against same variable of Dataset of Block-3
289078
0
1
191638
2
97440
Stage-2bstratum
See details given against same variable of Dataset of Block-3
289078
0
01
38887
02
250191
Sample hhold no
See details given against same variable of Dataset of Block-3
289078
0
Person Sl No
Person Sl No
All female members categorised 'engaged in domestic duties' according to usual principal status, i.e., those assigned the usual status codes 92 & 93 in column (3) of block 5.1,
289078
0
Age(in years)
Age(in years)
See Q.1 above for details
288851
227
0
99
26.336
18.899
Doing domestic duties
Whether required to spend most of their time on domestic duties during 365 days preceding the date of survey?
114853
0
1
Yes
102572
2
No
12281
Reason for YES
For code 1 in item 3 reason?
see Q.3 above
102445
0
1
Non-availability of work
57748
2
7560
9
37137
Reason for NO
For ode 2 in item 3, reason?
see Q.3 above
12104
0
1
Non-availability of work
2761
2
5553
9
3790
kitchen/garden
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-maintenance of kitchen gardens, orchards etc?
115966
0
1
Yes
14099
2
No
101867
Poultry/dairy
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-work in household poultry, dairy, etc.?
115966
0
1
Yes
25562
2
No
90404
Fish/fruit/veg
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-free collection of fish, small game, wild fruits, vegetables, etc. for household consumption?
115966
0
1
Yes
11429
2
No
104537
Firewood/cow dung
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-free collection of fire-wood, cowdung, cattle feed etc. for household consumption?
115966
0
1
Yes
27866
2
No
88100
Husking paddy
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-husking of paddy for household consumption?
115966
0
1
Yes,Commodities produced in own farm/free collection
8042
2
8752
3
99172
Grinding foodgrains
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-grinding of foodgrains for household onsumption
115966
0
1
Yes,Commodities produced in own farm/free collection
7006
2
12588
3
96372
Gur
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-preparation of gur for household consumption
115966
0
1
Yes,Commodities produced in own farm/free collection
469
2
6745
3
108752
Preservation meat/fish
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-preservation of meat and fish for household consumption
115966
0
1
Yes,Commodities produced in own farm/free collection
1255
2
8032
3
106679
Basket/mat
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-making baskets and mats for household use
115966
0
1
Yes,Commodities produced in own farm/free collection
2321
2
7002
3
106643
Cow dung cake
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-preparation of cow-dung cake for use as fuel in the household?
115966
0
1
Yes
32142
2
No
83824
Sewing/tailoring
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-sewing, tailoring, weaving etc. for household use
115966
0
1
Yes
32339
2
No
83627
Tutoring
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-tutoring of own children or others' children free of charge
115966
0
1
Yes
11682
2
No
104284
Bringing water-hhd
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-bringing water from outside the household premises?
115966
0
1
Yes
41792
2
No
74174
Bringing water-vill
Check if rural sector. Yes ask this Question
Alongwith your domestic duties did you more or less regularly carry out during the last 365 days:-bringing water from outside the village?
If not rural skip to Q,21
67345
0
1
Yes
1117
2
No
66228
Distance
If yes in item 19: distance in kilometers
If for a particular woman the answer to the question listed against item 19, i.e. whether the woman brings water from outside the village, is 'yes' (code 1), the distance (rounded off to the nearest kilometer) she had to travel from the household premises to the point of the source of water will be recorded against this item.
971
288107
0
82
2.521
5.195
Willing to accept work?
Inspite of your pre-occupation in domestic duties, are you willing to accept work if work is made available at your household?
115966
0
1
Yes
35766
2
No
80200
Nature of work
Check code in Q.21. If 1 then ask.
The nature of work acceptable
If code not = 1 in item 21 skip
35601
0
1
10610
2
23144
3
Occasional full time
578
4
Occasional part time
1255
9
Invalid
14
Type of work
Check code in Q.21. If 1 then ask.
Type of work acceptable
If code not = 1 in item 21 skip
35461
0
1
6104
2
2954
3
1645
4
4030
5
396
6
13101
7
Leather goods manufacturing
137
9
7094
Have skil/experience?
Check code in Q.21. If 1 then ask.
Do you have any skill/experience to undertake that work?
If code not = 1 in item 21 skip
35469
0
1
Yes
16057
2
No
19360
9
Invalid
52
Assistance needed
Check code in Q.21. If 1 then ask.
.What assistance do you require to undertake that work?
If code not = 1 in item 21 skip
35323
0
1
1818
2
15690
3
5166
4
1341
5
1543
6
6685
7
282
9
2798
Nss
289078
0
1
15
2.263
2.207
1
129854
2
97579
3
22761
4
12645
5
7975
6
4550
7
1320
8
4706
10
16
11
4773
15
2899
SS_replicate
289078
0
1
3
2.735
0.447
1
672
2
75290
3
213116
Posted Multiplier(0.00)
289078
0
7.06
549390.88
12310.754
12884.827
Multiplier Subround Combined(generated)
289078
0
3.53
274695.44
6164.487
6471.017
See details given against same variable of Dataset of Block-3
Key to identify Household
819011
0
Key to identify Person
819011
0
Record ID(indicate blockno-04)
819011
0
04
Block 4 data
819011
Round and schedule
819011
0
552
599457
554
219554
Sector
819011
0
1
Rural
509778
2
Urban
309233
State
819011
0
02
Andhra Pradesh
53380
03
Arunachal Pradesh
6386
04
Assam
30765
05
Bihar
70445
06
Goa
2827
07
Gujarat
35617
08
Haryana
13949
09
Himachal Pradesh
15509
10
Jammu & Kashmir
17540
11
Karnataka
34859
12
Kerala
29457
13
Madhya Pradesh
61784
14
Maharashtra
61260
15
Manipur
10197
16
Meghalaya
8754
17
Mizoram
8397
18
Nagaland
4844
19
Orissa
29486
20
Punjab
27855
21
Rajasthan
39496
22
Sikkim
8586
23
Tamil Nadu
46484
24
Tripura
9740
25
Uttar Pradesh
112523
26
West Bengal
51217
27
A & N Islands
3388
28
Chandigarh
5314
29
Dadra & Nagar Haveli
1774
30
Daman & Diu
2413
31
Delhi
8108
32
Lakshdweep
2769
33
Pondicherry
3888
Region
819011
0
1
Region-1
296987
2
Region-2
222947
3
Region-3
141157
4
Region-4
109570
5
Region-5
30786
6
Region-6
9648
7
Region-7
7916
Stratum
819011
0
01
17004
02
49466
03
32588
04
32151
05
20832
06
19839
07
42978
08
136487
09
39230
10
101114
11
14601
12
15340
13
14999
14
11015
15
10137
16
9713
17
11020
18
11380
19
10601
20
11003
21
11642
22
9935
23
11831
24
10784
25
10588
26
9077
27
8048
28
8272
29
6640
30
7123
31
6502
32
4876
33
4631
34
5208
35
4599
36
4003
37
4730
38
2921
39
2321
40
2088
41
2933
42
2323
43
2744
44
2841
45
2854
46
1276
47
1457
48
1383
49
1466
50
2134
51
2343
52
2442
53
2550
54
1612
55
1469
56
1575
57
1676
58
1476
59
1577
60
2320
61
1571
62
1632
63
1400
64
1537
65
1715
66
769
67
843
68
846
69
954
70
854
71
836
72
2015
73
919
74
1929
75
832
76
799
77
786
78
891
79
879
80
861
81
913
82
876
83
744
84
731
85
734
86
703
87
712
88
831
89
718
90
639
91
774
District
819011
0
01
83714
02
50245
03
32513
04
31263
05
29906
06
34158
07
32107
08
29890
09
31198
10
34825
11
28699
12
36984
13
28378
14
25336
15
20829
16
29472
17
18795
18
15173
19
13498
20
13131
21
9984
22
10362
23
12819
24
8574
25
7444
26
6815
27
6785
28
8130
29
6261
30
5531
31
4117
32
6147
33
5505
34
2962
35
3231
36
3601
37
3895
38
3975
39
5078
40
5484
41
3980
42
2579
43
4332
44
6783
45
6612
46
2650
47
1980
48
2478
49
3888
50
2578
51
1562
52
1283
53
1921
54
2412
55
2999
56
1313
57
3329
58
3280
59
1810
60
2072
61
3778
62
1268
63
794
64
842
65
758
66
737
67
984
68
130
69
320
70
1143
71
705
72
897
Sub round
819011
0
1
Sub-round-1
149068
2
Sub-round-2
224173
3
Sub-round-3
223172
4
Sub-round-4
222598
Sub sample
819011
0
1
Sub-sample-1
75046
2
Sub-sample-2
73930
3
Sub-sample-3
75161
4
Sub-sample-4
74728
5
Sub-sample-5
74241
6
Sub-sample-6
74453
7
Sub-sample-7
74521
8
Sub-sample-8
74606
9
Sub-sample-9
222325
First stage Unit no
819011
0
Visit no
819011
0
1
1st visit
599457
2
2nd visit
219554
Segment no
819011
0
1
543193
2
275818
Stage-2 stratum
819011
0
01
110549
02
706198
09
2264
Sample hhold no
819011
0
00
8
01
12332
02
177307
03
2085
04
122155
05
948
06
98376
07
723
08
75049
09
512
10
66314
11
366
12
65835
13
427
14
64057
15
304
16
41184
17
232
18
33084
19
182
20
33075
21
69
22
12938
23
57
24
10552
26
87
28
105
30
121
32
104
34
92
36
122
38
98
40
102
42
4
49
1
59
4
Person serial no
819011
0
001
165150
002
154181
003
139844
004
119418
005
87350
006
56592
007
34664
008
21193
009
13148
010
8677
011
5663
012
3931
013
2685
014
1911
015
1341
016
891
017
645
018
481
019
348
020
235
021
177
022
130
023
92
024
69
025
45
026
40
027
28
028
20
029
14
030
8
031
7
032
2
033
3
034
2
035
3
036
2
037
2
041
1
044
1
045
1
055
1
058
1
100
1
108
1
111
1
112
1
222
2
223
1
225
1
309
1
331
1
423
1
521
1
561
1
601
1
Relation to head
818864
0
0
NR
28
1
165510
2
133234
3
38896
4
37832
5
313358
6
64427
7
23865
8
Brother/sister/brother-in-law/Sister-in-law
39002
9
Servant/employee/other relative/non relative
2712
Sex
819011
0
1
Male
422216
2
Female
396795
Age(years)
818372
639
0
99
26.087
18.896
819011
0
0
NR
438
1
411212
2
366106
3
38260
4
Divorced/separated
2995
General education
819011
0
00
NR
1075
01
315012
02
Literate through attending : NFEC/AEC
1593
03
1415
04
7169
05
140581
06
103888
07
103440
08
69013
09
37390
10
Graduate and above in : agriculture.
1586
11
1456
12
883
13
34510
Technical education
819011
0
1
804098
2
Technical degree in agriculture / engineering / technology / medicine etc.
2757
3
312
4
3851
5
1010
6
695
9
6288
Attendance in edu. Instt.
525920
0
00
NR
9425
11
25748
12
149618
13
30785
14
61880
15
11496
16
28060
21
549
22
369
23
29942
24
80034
25
45671
26
38513
27
1147
28
543
29
187
30
8314
31
52
32
784
33
142
34
132
35
2529
Registered in empl exchange
791933
0
0
NR
4040
1
Yes
28326
2
No
759567
819011
0
0
NR
837
1
Yes
804293
2
No
13881
Stayed away
802430
0
1
Yes
8839
2
No
793524
9
Invalid
67
Diff place enumeration
819011
0
1
Yes
214038
2
No
604973
period since leaving
214053
0
00
8868
01
One year or more but less than 2 years
12253
02
12495
03
10992
04
9012
05
9372
06
7602
07
6292
08
7770
09
4417
10
10604
11
3683
12
7012
13
4184
14
4456
15
7308
16
4526
17
3613
18
5123
19
2808
20
9140
21
2370
22
4211
23
2483
24
2571
25
4952
26
2337
27
2005
28
2578
29
1144
30
5600
31
1019
32
2469
33
1180
34
1136
35
3059
36
1218
37
964
38
1495
39
624
40
4025
41
524
42
1569
43
685
44
603
45
2066
46
606
47
532
48
893
49
267
50
2223
51
364
52
931
53
375
54
304
55
775
56
233
57
150
58
257
59
62
60
626
61
58
62
164
63
85
64
71
65
204
66
48
67
40
68
55
69
12
70
108
71
4
72
35
73
6
74
13
75
41
76
5
77
1
78
9
79
4
80
48
81
2
82
7
83
1
84
2
85
7
86
2
87
2
88
2
90
2
location last residence
214033
0
0
NR
482
1
102567
2
19590
3
Same state butAnother district:Rural
38003
4
Same state butAnother district:Urban
20559
5
18012
6
12256
7
2564
Last resd state code
214015
0
00
NR
861
02
Andhra Pradesh
14199
03
Arunachal Pradesh
226
04
Assam
3241
05
Bihar
14241
06
Goa
725
07
Gujarat
11115
08
Haryana
4440
09
Himachal Pradesh
5488
10
Jammu & Kashmir
2793
11
Karnataka
10510
12
Kerala
9687
13
Madhya Pradesh
15134
14
Maharashtra
19167
15
Manipur
156
16
Meghalaya
121
17
Mizoram
63
18
Nagaland
1097
19
Orissa
7837
20
Punjab
9018
21
Rajasthan
12772
22
Sikkim
1724
23
Tamil Nadu
14802
24
Tripura
1068
25
Uttar Pradesh
34385
26
West Bengal
13101
27
A & N Islands
794
28
Chandigarh
238
29
Dadra & Nagar Haveli
247
30
Daman & Diu
232
31
Delhi
1182
32
Lakshdweep
359
33
Pondicherry
490
51
Bangla Desh
798
52
Nepal
418
53
Pakistan
496
54
Sri Lanka
86
55
Bhutan
39
56
Gulf countries
430
57
other Asian Countries
124
58
USA
10
59
Canada
3
60
Other countries of North&
10
61
UK
18
62
Other countries of Europe
19
63
Countries of Africa
37
64
Rest of the World
14
Acty status at migration
213941
0
11
Own account worker
8119
12
Employer
245
21
Worked as helper in h.h. enterprise (unpaidfamily worker)
10947
31
Worked as regular salaried/wage employee
13101
41
Worked as casual wage labour: in public works
121
51
Worked as casual wage labour:in other types of work
16469
81
Did not work but was seeking and/or available for work
4959
91
Attended educational institution
25202
92
Attended domestic duties only
92992
93
Attended domestic duties and was also engaged in free collection of goods for household use
23733
94
Rentiers, pensioners, remittance recipients, etc.
332
95
Not able to work due to disability
169
96
Beggars, prostitutes
40
97
Others
15911
99
Invalid
1601
NIC migration
48875
0
Reason migration
213974
0
00
NR
804
01
In search of employment
7837
02
In search of better employment
7968
03
To take up employment / better employment
5334
04
Transfer of service/contract
6216
05
Proximity to place of work
762
06
Studies
4018
07
Acquisition of own house/flat
3172
08
Housing problems
2428
09
Social / political problems
2263
10
Health
478
11
Marriage
125145
12
Migration of parent/ earning member
38376
19
Others
9173
Nss
819011
0
1
366710
2
276585
3
65593
4
35115
5
21690
6
13381
7
3809
8
13623
10
50
11
13706
15
8749
ss_replicate
819011
0
1
3821
2
156068
3
659122
Multiplier Posted(0.00)
819011
0
7.06
587043.72
12284.948
12901.502
Multiplier Sch 10 & 10.1 Subround combined(generated)
819011
0
2.353
221964.84
4498.057
5050.976
Key to identify Household
819011
0
Key to identify person
819011
0
Record ID(indicate blockno-51)
819011
0
51
Block 5.1 data
819011
Round and schedule
819011
0
552
599457
554
219554
Sector
819011
0
1
Rural
509778
2
Urban
309233
State
819011
0
02
Andhra Pradesh
53380
03
Arunachal Pradesh
6386
04
Assam
30765
05
Bihar
70445
06
Goa
2827
07
Gujarat
35617
08
Haryana
13949
09
Himachal Pradesh
15509
10
Jammu & Kashmir
17540
11
Karnataka
34859
12
Kerala
29457
13
Madhya Pradesh
61784
14
Maharashtra
61260
15
Manipur
10197
16
Meghalaya
8754
17
Mizoram
8397
18
Nagaland
4844
19
Orissa
29486
20
Punjab
27855
21
Rajasthan
39496
22
Sikkim
8586
23
Tamil Nadu
46484
24
Tripura
9740
25
Uttar Pradesh
112523
26
West Bengal
51217
27
A & N Islands
3388
28
Chandigarh
5314
29
Dadra & Nagar Haveli
1774
30
Daman & Diu
2413
31
Delhi
8108
32
Lakshdweep
2769
33
Pondicherry
3888
Region
819011
0
1
Region-1
296987
2
Region-2
222947
3
Region-3
141157
4
Region-4
109570
5
Region-5
30786
6
Region-6
9648
7
Region-7
7916
Stratum
819011
0
01
17004
02
49466
03
32588
04
32151
05
20832
06
19839
07
42978
08
136487
09
39230
10
101114
11
14601
12
15340
13
14999
14
11015
15
10137
16
9713
17
11020
18
11380
19
10601
20
11003
21
11642
22
9935
23
11831
24
10784
25
10588
26
9077
27
8048
28
8272
29
6640
30
7123
31
6502
32
4876
33
4631
34
5208
35
4599
36
4003
37
4730
38
2921
39
2321
40
2088
41
2933
42
2323
43
2744
44
2841
45
2854
46
1276
47
1457
48
1383
49
1466
50
2134
51
2343
52
2442
53
2550
54
1612
55
1469
56
1575
57
1676
58
1476
59
1577
60
2320
61
1571
62
1632
63
1400
64
1537
65
1715
66
769
67
843
68
846
69
954
70
854
71
836
72
2015
73
919
74
1929
75
832
76
799
77
786
78
891
79
879
80
861
81
913
82
876
83
744
84
731
85
734
86
703
87
712
88
831
89
718
90
639
91
774
District
819011
0
01
83714
02
50245
03
32513
04
31263
05
29906
06
34158
07
32107
08
29890
09
31198
10
34825
11
28699
12
36984
13
28378
14
25336
15
20829
16
29472
17
18795
18
15173
19
13498
20
13131
21
9984
22
10362
23
12819
24
8574
25
7444
26
6815
27
6785
28
8130
29
6261
30
5531
31
4117
32
6147
33
5505
34
2962
35
3231
36
3601
37
3895
38
3975
39
5078
40
5484
41
3980
42
2579
43
4332
44
6783
45
6612
46
2650
47
1980
48
2478
49
3888
50
2578
51
1562
52
1283
53
1921
54
2412
55
2999
56
1313
57
3329
58
3280
59
1810
60
2072
61
3778
62
1268
63
794
64
842
65
758
66
737
67
984
68
130
69
320
70
1143
71
705
72
897
Sub round
819011
0
1
Sub-round-1
149068
2
Sub-round-2
224173
3
Sub-round-3
223172
4
Sub-round-4
222598
Sub sample
819011
0
1
Sub-sample-1
75046
2
Sub-sample-2
73930
3
Sub-sample-3
75161
4
Sub-sample-4
74728
5
Sub-sample-5
74241
6
Sub-sample-6
74453
7
Sub-sample-7
74521
8
Sub-sample-8
74606
9
Sub-sample-9
222325
First stage Unit no
819011
0
Visit no
819011
0
1
1st visit
599457
2
2nd visit
219554
Segment no
819011
0
1
543193
2
275818
Stage-2 stratum
819011
0
01
110549
02
706198
09
2264
Sample hhold no
819011
0
Person serial no
819011
0
Age(years)
818372
639
0
99
26.087
18.896
Principal activity status
819011
0
11
96815
12
3593
21
55345
31
57811
41
795
51
74527
81
10077
91
201766
92
109328
93
Attended domestic duties and engaged in free collection of goods for hh. use
51290
94
6929
95
5385
96
297
97
60075
99
84978
Principal acty industry
288886
0
Principal acty NCO
288886
0
Engaged in sub activity?
817854
0
1
Yes
79750
2
No
738104
Number of sub acty
79750
0
1
one ctivity
73287
2
Two activities
6237
3
Three or more activities
226
Location
143384
0
00
NR
11150
10
6501
11
11032
12
10336
13
2485
14
Rural areas-Employer’s enterprise/unit/office/shop but outside employer’s dwelling
14847
15
1334
16
4657
19
3711
21
9517
22
16191
23
3465
24
Urban areas-Employer’s enterprise/unit/office/shop but outside employer’s dwelling
35513
25
2472
26
5087
29
5086
Enterprise type
143384
0
0
NR
10328
1
82808
2
7240
3
3064
4
2106
5
21351
6
2129
7
9511
9
4847
Keeps accnt?
143384
0
0
Not applicable
10269
1
46726
2
70720
9
Not known
15669
Workers?(code)
143384
0
0
Not applicable
11616
1
80336
2
10601
3
10 & above but less than 20
8472
4
19848
9
12511
Uses electricity?
33753
0
0
Not applicable
3498
1
13394
2
15891
9
970
Work specification?
155753
0
0
Not applicable
98155
1
Yes: wholly
8723
2
2591
3
2208
4
42153
9
1923
Who provided credit etc?
11314
0
0
Not applicable
452
1
4827
2
Provided by the enterprise: credit only
395
3
4310
4
98
5
635
6
18
7
291
8
160
9
128
Outlets?
11314
0
0
Not applicable
580
1
6929
2
354
3
Three or more outlets
2317
9
1134
Payment mode
11314
0
0
Not applicable
628
1
7582
2
Contract rate
3104
Type of specifications
11314
0
0
Not applicable
619
1
1535
2
8728
9
Not known
432
Skill?
188006
0
00
Not applicable
4946
01
1434
02
161
03
542
04
333
05
43
06
78
07
6
08
556
09
3183
10
8422
11
105
12
31
13
69
14
52
15
4
16
222
17
64
18
142
19
111
20
5
21
39
22
22
23
17
24
32
25
142
26
90
27
Motor vehicle driver/tractor driver
248
28
5
29
28
30
100
31
393
32
20
33
2
34
17
35
245
36
29
37
16
38
111
39
55
40
79
41
3331
99
162476
Period seeking work
593045
0
0
Not applicable
66
1
2430
2
17813
3
14412
4
558324
Nss
819011
0
1
366710
2
276585
3
65593
4
35115
5
21690
6
13381
7
3809
8
13623
10
50
11
13706
15
8749
SS replicate
819011
0
1
3821
2
156068
3
659122
Multiplier Posted(0.00)
819011
0
7.06
587043.72
12284.948
12901.502
Multiplier Sch 10 & 10.1 Subround combined(generated)
819011
0
2.353
221964.84
4498.057
5050.976
Key to locate household
26207
0
Key to locate person
26207
0
Key to locate person sub acty no
26207
0
Record ID(indicate blockno-52)
26207
0
52
5Block 5.2 data
26207
Round and schedule
26207
0
552
19290
554
6917
Sector
26207
0
1
Rural
22145
2
Urban
4062
State
26207
0
02
Andhra Pradesh
817
03
Arunachal Pradesh
117
04
Assam
1408
05
Bihar
1364
06
Goa
28
07
Gujarat
1417
08
Haryana
988
09
Himachal Pradesh
1506
10
Jammu & Kashmir
1249
11
Karnataka
421
12
Kerala
1342
13
Madhya Pradesh
1342
14
Maharashtra
1187
15
Manipur
447
16
Meghalaya
17
17
Mizoram
198
18
Nagaland
344
19
Orissa
1529
20
Punjab
2240
21
Rajasthan
2033
22
Sikkim
37
23
Tamil Nadu
721
24
Tripura
31
25
Uttar Pradesh
4238
26
West Bengal
845
27
A & N Islands
53
28
Chandigarh
66
29
Dadra & Nagar Haveli
4
30
Daman & Diu
26
31
Delhi
55
32
Lakshdweep
123
33
Pondicherry
14
Region
26207
0
1
Region-1
9837
2
Region-2
8160
3
Region-3
4338
4
Region-4
2855
5
Region-5
667
6
Region-6
188
7
Region-7
162
Stratum
26207
0
01
604
02
410
03
1138
04
893
05
1228
06
1105
07
844
08
2653
09
1492
10
2422
11
1062
12
1148
13
845
14
502
15
576
16
288
17
543
18
425
19
798
20
560
21
406
22
332
23
399
24
467
25
423
26
182
27
139
28
350
29
153
30
136
31
164
32
129
33
37
34
77
35
172
36
155
37
102
38
89
39
38
40
76
41
97
42
43
43
53
44
123
45
97
46
36
47
23
48
32
49
37
50
133
51
133
52
86
53
211
54
76
55
28
56
53
57
62
58
27
59
15
60
63
61
70
62
58
63
82
64
66
65
86
66
32
67
36
68
63
69
95
70
47
71
11
72
29
73
39
74
3
75
5
76
2
77
4
78
50
79
53
80
15
81
8
82
71
83
30
84
26
85
42
86
39
87
65
88
49
89
27
90
5
91
9
District
26207
0
Sub round
26207
0
1
Sub-round-1
5103
2
Sub-round-2
7259
3
Sub-round-3
6856
4
Sub-round-4
6989
Sub sample
26207
0
1
Sub-sample-1
2721
2
Sub-sample-2
2379
3
Sub-sample-3
2343
4
Sub-sample-4
2369
5
Sub-sample-5
2280
6
Sub-sample-6
2368
7
Sub-sample-7
2488
8
Sub-sample-8
2280
9
Sub-sample-9
6979
First stage Unit no
26207
0
Visit no
26207
0
1
1st visit
19290
2
2nd visit
6917
Segment no
26207
0
1
16398
2
9809
Stage-2 stratum
26207
0
01
3870
02
22280
09
57
Sample hhold no
26207
0
Person serial no.
26207
0
Age(years)
26207
0
5
88
33.546
13.935
Sub acty status
26207
0
11
6913
12
395
21
15125
31
346
41
48
51
3380
Sub acty industry
26207
0
01111
12484
01112
246
01113
125
01114
11
01115
147
01116
61
01119
42
01121
388
01122
41
01131
9
01132
13
01134
162
01135
53
01211
6429
01212
359
01213
29
01221
16
01222
209
01224
6
01229
11
01300
5
01403
82
01404
62
01405
3
01407
3
01409
44
02001
5
02002
5
02003
62
02004
97
02005
1
05001
20
05002
14
05004
2
05005
5
10200
1
13100
1
14101
6
14102
1
14103
2
14106
10
14220
1
15112
1
15121
4
15124
1
15131
4
15132
1
15134
5
15136
1
15139
2
15142
2
15203
7
15205
2
15209
1
15311
34
15312
41
15313
1
15314
13
15316
41
15319
9
15411
8
15412
3
15419
4
15421
1
15422
6
15423
1
15424
1
15432
3
15433
17
15440
2
15492
2
15493
12
15495
3
15496
10
15497
5
15499
15
15512
13
15520
2
15532
1
15542
1
15544
1
15549
2
16002
317
16007
2
17111
39
17112
10
17113
48
17114
8
17115
203
17116
45
17117
52
17118
14
17119
2
17121
10
17122
1
17123
1
17211
4
17214
4
17221
4
17222
1
17223
17
17224
1
17225
8
17226
24
17229
3
17231
4
17232
4
17233
34
17234
12
17235
2
17239
10
17291
134
17292
18
17293
2
17296
6
17297
3
17301
4
17302
4
17309
3
18101
100
18104
2
18109
15
18201
2
18204
12
18209
1
19122
1
19201
11
20101
5
20213
1
20219
1
20221
5
20233
43
20239
136
20292
2
20293
27
20294
1
20295
2
20296
10
20297
25
21011
12
21014
1
21021
14
21022
5
21091
1
21093
2
21099
2
22121
4
22211
2
22212
7
22219
1
22222
6
22300
2
23209
1
24114
1
24232
3
24233
2
24245
1
24246
2
24248
37
24291
15
24292
3
24297
1
25113
1
25201
1
25203
1
25204
3
25207
4
25209
11
26103
2
26106
2
26911
40
26912
2
26921
1
26931
27
26933
2
26939
9
26942
1
26951
1
26960
7
26999
2
27106
1
27109
1
27203
1
27205
1
27310
2
28111
3
28112
1
28113
2
28920
2
28932
5
28933
1
28991
4
28999
2
29212
2
29214
2
29219
1
29221
2
29306
1
30005
1
30007
1
31200
1
31300
1
31402
1
31404
1
31501
1
32109
1
32305
1
35912
2
36101
6
36911
15
36912
3
36934
6
36939
2
36941
1
36942
1
36991
2
36992
1
36993
7
36995
1
36996
4
36997
3
36998
40
36999
76
40109
2
45102
2
45201
127
45202
16
45203
34
45205
9
45209
5
45301
1
45303
7
45309
3
45402
4
45403
2
50102
1
50200
10
50300
4
50404
5
51101
5
51109
1
51211
5
51212
1
51213
1
51221
10
51222
1
51223
1
51225
3
51229
2
51311
4
51396
1
51397
1
51420
1
51431
2
51432
1
51498
2
51501
2
51504
1
51909
3
52110
94
52190
15
52201
825
52202
37
52203
16
52204
8
52205
26
52206
2
52207
60
52208
2
52209
10
52311
11
52312
10
52321
24
52322
12
52323
4
52324
1
52331
1
52332
3
52334
2
52335
6
52339
4
52341
8
52342
8
52343
2
52393
4
52394
1
52395
13
52396
23
52397
1
52398
5
52399
27
52520
5
52591
2
52599
15
52602
10
52603
8
52604
1
52605
7
52609
13
55101
3
55201
3
55202
52
55203
4
55204
10
55205
2
55209
45
60100
1
60210
9
60221
32
60222
4
60231
29
60232
9
61100
2
61200
1
63012
3
63021
2
63032
1
63090
1
64201
26
64203
1
64204
4
65191
4
65921
1
65922
1
65923
1
65929
2
65999
4
66010
9
67120
1
67200
1
70101
1
70109
2
70200
3
71110
2
71301
6
71309
3
72200
4
72501
1
72900
1
73200
2
74110
2
74120
4
74130
1
74140
1
74210
4
74920
2
74940
4
74950
10
74992
1
74993
5
74999
8
75111
3
75112
8
75113
6
75122
3
75132
2
75133
1
75143
1
80101
54
80102
2
80211
18
80221
7
80301
2
80302
3
80901
1
80903
27
80904
170
85110
9
85120
5
85191
2
85193
5
85194
8
85195
1
85199
3
85200
3
85310
2
85320
1
90001
14
90002
10
90009
14
91120
6
91910
11
91920
2
92111
2
92120
1
92132
1
92141
2
92142
10
92199
3
92311
3
92413
1
93010
96
93020
34
93090
166
95001
37
95002
3
95009
32
Sub acty NCO
26207
0
000
4
019
1
020
3
021
2
024
1
027
1
028
1
031
1
032
2
050
1
055
1
060
2
070
3
071
2
072
7
074
1
075
2
078
2
082
7
084
6
085
3
088
1
089
9
103
1
104
2
119
1
120
3
136
1
137
1
139
1
140
1
149
2
150
3
151
12
152
20
153
45
154
12
155
3
156
1
159
154
161
3
162
1
169
2
170
3
171
5
173
7
179
2
180
4
182
2
183
2
184
1
189
4
190
1
191
10
193
1
198
1
199
4
202
2
210
2
211
2
212
1
213
1
220
2
221
42
222
1
230
1
234
1
239
1
240
4
241
1
242
4
243
193
249
17
250
13
251
2
259
8
260
28
261
2
269
36
280
1
293
1
299
1
309
1
310
2
320
2
321
1
330
11
339
1
349
6
350
8
351
2
352
1
358
6
359
3
369
2
371
4
379
3
390
9
392
2
399
2
400
15
401
558
409
8
410
6
412
7
419
79
420
1
422
14
430
88
431
61
432
1
439
23
440
7
441
3
442
2
443
3
449
2
450
1
459
1
471
2
490
1
499
6
500
44
510
2
520
20
521
10
529
25
530
11
531
113
535
1
539
17
541
61
542
1
549
6
550
75
551
6
552
1
555
1
559
3
560
34
573
2
574
1
579
1
590
1
599
17
600
8
603
5
604
10
605
3
610
9784
611
204
612
9
616
1
618
1
619
286
620
593
621
4420
622
2298
623
199
624
7
625
103
626
2
627
3
629
22
630
2700
631
5
640
30
641
5
649
5
650
1
651
62
652
1
659
7
661
127
662
11
663
1
669
6
671
1
680
10
681
19
689
11
691
1
706
1
711
1
712
1
713
1
715
7
728
2
729
1
731
1
732
1
733
13
737
3
739
11
741
1
749
22
750
18
751
12
752
94
754
5
755
282
756
41
757
12
758
17
759
62
769
2
770
3
771
67
772
4
774
1
775
6
777
43
778
3
779
7
784
290
786
1
789
2
790
5
791
347
795
136
796
7
799
52
801
2
802
3
809
3
810
1
811
11
813
4
814
1
819
5
821
8
822
1
829
1
830
1
831
4
833
1
836
2
839
9
841
1
843
19
845
10
851
15
853
1
854
6
855
6
856
2
857
2
859
3
869
1
872
1
874
7
879
2
881
12
889
10
891
1
892
42
895
1
899
7
900
1
901
7
902
1
903
14
911
9
919
7
920
1
921
2
923
2
926
2
927
6
928
2
929
4
931
2
932
1
939
6
941
2
942
97
943
20
949
149
950
1
951
9
952
3
953
2
955
1
956
1
958
4
959
68
963
2
964
3
970
4
971
8
974
1
976
8
979
1
980
3
981
1
986
25
987
1
988
1
989
13
991
1
999
228
XXX
577
Location entpr
4956
0
00
Not applicable
580
10
167
11
1448
12
301
13
94
14
Rural areas-Employer’s enterprise/unit/office/shop but outside employer’s dwelling
174
15
23
16
89
19
72
21
1142
22
258
23
137
24
Urban areas-Employer’s enterprise/unit/office/shop but outside employer’s dwelling
297
25
35
26
69
29
70
Entpr type
4956
0
0
Not applicable
523
1
2347
2
1631
3
85
4
52
5
81
6
16
7
111
9
110
Keep accnts?
4956
0
0
Not applicable
524
1
407
2
3684
9
Not known
341
Workers? (code)
4956
0
0
Not applicable
551
1
3792
2
197
3
10 & above but less than 20
103
4
138
9
175
Use electricity?
2198
0
0
Not applicable
151
1
195
2
1753
9
99
Work specifications?
22433
0
0
Not applicable
19062
1
Yes: wholly
729
2
196
3
198
4
2179
9
69
Who provide credit etc?
925
0
0
Not applicable
23
1
218
2
Provided by the enterprise: credit only
50
3
504
4
8
5
47
6
7
7
51
8
9
9
8
Outlets?
925
0
0
Not applicable
32
1
679
2
32
3
Three or more outlets
117
9
65
Payment mode?
925
0
0
not applicable
35
1
673
2
Contract rate
217
Specification type
925
0
0
Not applicable
29
1
74
2
777
9
Not known
45
No of sub acty
26207
0
1
1st activity
24034
2
2nd activty
2173
Nss
26207
0
1
13885
2
9396
3
1474
4
459
5
446
6
202
7
20
8
106
11
151
15
68
SS replicate
26207
0
1
118
2
5335
3
20754
Multiplier Posted(0.00)
26207
0
11.5
587043.72
13078.792
14436.84
Multiplier Sch 10 & 10.1 Subround combined(generated)
26207
0
5.493
221964.84
4825.04
5667.736
Key to locate household
960349
0
Key to locate Person
960349
0
Key to locate Activity slno
960349
0
Record ID(indicate blockno-5.3)
960349
0
53
Block 5.3 data
960349
Round and schedule
960349
0
552
704257
554
256092
Sector
960349
0
1
Rural
605284
2
Urban
355065
State
960349
0
02
Andhra Pradesh
63160
03
Arunachal Pradesh
7744
04
Assam
36714
05
Bihar
79266
06
Goa
3472
07
Gujarat
46445
08
Haryana
15927
09
Himachal Pradesh
17612
10
Jammu & Kashmir
19139
11
Karnataka
40511
12
Kerala
36191
13
Madhya Pradesh
69146
14
Maharashtra
77464
15
Manipur
11899
16
Meghalaya
11353
17
Mizoram
11582
18
Nagaland
6143
19
Orissa
33897
20
Punjab
31745
21
Rajasthan
42174
22
Sikkim
10058
23
Tamil Nadu
59840
24
Tripura
10244
25
Uttar Pradesh
126018
26
West Bengal
58215
27
A & N Islands
3874
28
Chandigarh
6273
29
Dadra & Nagar Haveli
2479
30
Daman & Diu
3512
31
Delhi
9943
32
Lakshdweep
3329
33
Pondicherry
4980
Region
960349
0
1
Region-1
353789
2
Region-2
262291
3
Region-3
160033
4
Region-4
126754
5
Region-5
38208
6
Region-6
10906
7
Region-7
8368
Stratum
960349
0
01
20514
02
57468
03
39843
04
37649
05
25180
06
24927
07
50949
08
156061
09
45409
10
116991
11
17723
12
18835
13
17945
14
13108
15
12222
16
11815
17
13159
18
13767
19
13259
20
13068
21
13502
22
11933
23
13955
24
12610
25
12572
26
10892
27
9497
28
10033
29
7587
30
8289
31
7515
32
5678
33
5448
34
6078
35
5469
36
4640
37
5281
38
3276
39
2597
40
2376
41
3423
42
2719
43
3085
44
3359
45
3433
46
1480
47
1709
48
1526
49
1637
50
2337
51
2579
52
2757
53
2743
54
1849
55
1745
56
1901
57
2021
58
1634
59
1759
60
2601
61
1727
62
1835
63
1603
64
1808
65
1945
66
854
67
959
68
994
69
1170
70
999
71
954
72
2183
73
1031
74
2073
75
927
76
873
77
856
78
991
79
912
80
889
81
955
82
970
83
780
84
886
85
846
86
768
87
783
88
912
89
854
90
737
91
858
District
960349
0
Sub round
960349
0
1
Sub-round-1
178853
2
Sub-round-2
263850
3
Sub-round-3
260920
4
Sub-round-4
256726
Sub sample
960349
0
1
Sub-sample-1
90325
2
Sub-sample-2
88413
3
Sub-sample-3
88275
4
Sub-sample-4
88062
5
Sub-sample-5
86848
6
Sub-sample-6
87094
7
Sub-sample-7
85902
8
Sub-sample-8
86012
9
Sub-sample-9
259418
First stage Unit no
960349
0
Visit no
960348
0
1
1st visit
704256
2
2nd visit
256092
Segment no
960348
0
1
635003
2
325345
Stage-2 stratum
960349
0
01
127287
02
830352
09
2709
1
1
Sample hhold no
960349
0
person serial no
960349
0
Age (years)
959709
640
Activity slno
960349
0
Daily Acty status
960349
0
11
113714
12
3895
21
70372
31
57893
41
1008
51
72030
61
1542
62
16519
71
799
72
18656
81
Situation of being not available for work (not in labour force)sought work
21991
82
7184
91
196223
92
126071
93
Attended domestic duties & engaged in free collection of Goodsetc.for hh. use
55977
94
6706
95
5585
96
295
97
others
95084
98
Did not work due to sickness (for casual workers only
3283
99
Invalid
85522
Daily acty industry
356435
0
01
179058
02
1545
05
1649
10
762
11
342
12
101
13
116
14
1140
15
5785
16
2867
17
7521
18
4706
19
933
20
3789
21
546
22
1039
23
212
24
1778
25
1088
26
2553
27
1287
28
2233
29
1239
30
98
31
837
32
337
33
113
34
531
35
466
36
3416
37
28
40
1258
41
269
45
14792
50
2360
51
4373
52
39573
55
5068
60
11883
61
349
62
221
63
673
64
1502
65
2325
66
396
67
178
70
233
71
377
72
517
73
77
74
2070
75
14755
80
10599
85
3659
90
457
91
969
92
925
93
6612
95
1836
99
14
Type of opern(rural)
232905
0
01
11738
02
6027
03
5313
04
12963
05
27599
06
55608
07
1180
08
4129
09
14654
10
738
11
Other agricultural activities
24580
12
Manual work in non-agricultural activities
30152
13
3753
14
Activities other than cultivation
34471
Total days in acty
960348
1
0.5
7
5.97
1.877
Total earnings-recvd (Rs)
142555
817794
0
311070
558.877
1407.491
Mode payment
130512
0
01
15438
02
6192
03
591
04
8923
05
743
06
2293
07
414
08
46
09
110
10
228
11
3095
12
831
13
394
14
635
15
398
16
20016
17
7387
18
930
19
48857
20
832
21
1416
22
310
23
63
24
682
25
373
26
5097
27
705
28
148
29
2674
30
644
99
Invalid
47
Nominal wrk days
960347
2
0
947683
1
2998
2
3936
3
1993
4
1237
5
550
6
314
7
1636
Sysmiss
2
Weekly acty status
960349
0
11
134305
12
4854
21
88127
31
77623
41
1420
51
103355
61
1154
62
5157
71
494
72
1947
81
Situation of being not available for work (not in labour force)sought work
12231
82
1656
91
208293
92
109484
93
Attended domestic duties & engaged in free collection of Goodsetc.for hh. use
42869
94
6568
95
5476
96
292
97
others
68627
98
Did not work due to sickness (for casual workers only
895
99
Invalid
85522
Weekly acty NIC
418437
0
01111
174125
01112
2623
01113
4197
01114
345
01115
3329
01116
761
01117
46
01119
1036
01121
2441
01122
501
01131
525
01132
3183
01134
1301
01135
1334
01211
16363
01212
1334
01213
464
01214
8
01221
123
01222
275
01223
6
01224
103
01225
3
01229
28
01300
166
01401
51
01402
79
01403
509
01404
1098
01405
116
01406
68
01407
29
01409
1750
01500
12
02001
273
02002
225
02003
251
02004
712
02005
204
02006
68
05001
1093
05002
529
05003
11
05004
115
05005
61
10101
206
10102
506
10200
59
10300
3
11101
29
11102
33
11201
13
11202
5
12000
2
13100
46
13201
34
13202
12
13203
4
13204
7
13205
6
13206
2
13209
9
14101
51
14102
95
14103
418
14104
5
14105
4
14106
506
14107
68
14108
21
14109
4
14211
1
14212
2
14215
26
14220
43
14299
13
15111
188
15112
109
15113
31
15114
38
15115
1
15116
2
15118
8
15121
14
15124
30
15125
6
15127
4
15131
30
15132
8
15133
3
15134
29
15135
10
15136
21
15137
3
15138
9
15139
7
15141
50
15142
170
15143
61
15145
1
15146
4
15147
3
15201
24
15202
3
15203
67
15204
73
15205
59
15209
36
15311
993
15312
791
15313
28
15314
205
15315
3
15316
318
15317
28
15319
78
15321
15
15322
2
15324
7
15326
5
15331
21
15332
4
15339
3
15411
143
15412
283
15419
153
15421
261
15422
89
15423
18
15424
64
15425
6
15426
3
15427
1
15428
1
15429
6
15431
2
15432
60
15433
582
15435
7
15440
29
15491
77
15492
23
15493
268
15494
22
15495
67
15496
193
15497
137
15499
128
15511
22
15512
106
15520
71
15531
41
15532
30
15541
106
15542
4
15543
19
15544
47
15549
62
16001
48
16002
3614
16003
12
16004
21
16005
2
16006
3
16007
14
16008
9
16009
16
17111
745
17112
126
17113
55
17114
238
17115
2895
17116
958
17117
109
17118
329
17119
189
17121
351
17122
46
17123
4
17124
76
17125
29
17211
58
17212
6
17213
5
17214
120
17215
7
17219
59
17221
90
17222
79
17223
276
17224
30
17225
51
17226
167
17229
9
17231
129
17232
67
17233
336
17234
55
17235
15
17236
5
17239
35
17291
637
17292
323
17295
11
17296
11
17297
56
17298
1
17299
32
17301
86
17302
114
17303
7
17309
21
18101
2196
18102
16
18103
9
18104
20
18109
287
18201
32
18202
3
18203
4
18204
46
18209
18
19111
36
19112
81
19113
15
19115
6
19116
9
19119
23
19121
67
19122
60
19123
8
19129
60
19201
621
19202
96
20101
448
20102
7
20103
2
20211
92
20212
22
20213
6
20219
21
20221
1645
20222
11
20231
40
20232
16
20233
577
20239
418
20291
27
20292
21
20293
380
20294
64
20295
160
20296
143
20297
262
20298
2
20299
163
21011
28
21012
196
21013
11
21014
33
21015
31
21016
1
21017
2
21019
6
21021
54
21022
71
21023
9
21029
25
21091
13
21092
10
21093
31
21096
2
21097
25
21098
5
21099
17
22110
60
22121
125
22122
27
22130
5
22190
73
22211
111
22212
231
22213
3
22219
363
22221
30
22222
132
22300
15
23101
22
23109
27
23201
124
23202
7
23203
11
23209
27
23300
2
24111
31
24112
24
24113
13
24114
50
24115
1
24116
10
24117
70
24118
8
24119
57
24121
38
24122
7
24123
89
24124
19
24129
17
24131
15
24132
2
24133
1
24134
4
24139
21
24211
17
24219
14
24222
106
24223
2
24224
11
24229
13
24231
112
24232
285
24233
61
24234
5
24235
4
24236
8
24239
25
24241
78
24242
1
24243
19
24244
12
24245
10
24246
41
24247
25
24248
285
24249
6
24291
211
24292
82
24293
20
24294
4
24295
9
24296
1
24297
19
24298
15
24299
58
24305
2
25111
115
25112
42
25113
26
25114
49
25119
14
25191
69
25192
8
25193
3
25199
55
25201
95
25202
116
25203
26
25204
40
25205
9
25206
76
25207
120
25208
3
25209
391
26101
53
26102
3
26103
32
26104
4
26105
17
26106
128
26107
17
26109
24
26911
553
26912
56
26913
11
26914
7
26915
5
26919
5
26921
190
26922
17
26931
1021
26932
24
26933
102
26939
106
26941
47
26942
174
26943
3
26944
30
26951
5
26952
6
26953
9
26954
30
26955
15
26956
13
26957
4
26959
30
26960
297
26991
9
26993
30
26994
2
26999
20
27101
107
27102
13
27103
31
27104
167
27105
81
27106
174
27107
48
27108
55
27109
135
27201
51
27202
105
27203
87
27204
22
27205
183
27209
7
27310
189
27320
18
28111
581
28112
137
28113
95
28121
28
28122
48
28123
29
28129
99
28131
20
28133
45
28910
107
28920
157
28931
125
28932
237
28933
54
28939
180
28991
149
28992
50
28993
42
28994
32
28995
47
28996
87
28997
15
28998
7
28999
234
29111
2
29113
36
29119
13
29120
106
29130
149
29141
7
29142
4
29150
35
29191
28
29192
24
29195
3
29196
3
29198
1
29199
47
29211
113
29212
72
29214
65
29219
49
29221
40
29222
18
29223
22
29224
16
29225
8
29230
6
29241
5
29243
6
29244
20
29246
39
29248
3
29252
3
29253
11
29254
3
29256
12
29259
3
29261
9
29262
17
29263
13
29264
5
29265
17
29266
6
29267
10
29268
10
29269
20
29270
105
29293
6
29294
22
29295
9
29296
2
29297
4
29298
3
29299
51
29301
13
29302
6
29303
44
29304
8
29305
22
29306
9
29308
38
29309
28
30002
2
30004
7
30005
10
30006
7
30007
34
30009
19
31101
23
31102
97
31103
102
31104
8
31109
23
31200
106
31300
142
31401
3
31402
40
31404
11
31501
67
31503
5
31504
2
31506
25
31901
39
31902
5
31903
2
31904
5
31905
8
31906
4
31907
8
31908
7
31909
142
32101
65
32102
8
32103
4
32104
2
32105
5
32106
20
32107
16
32109
60
32201
14
32202
3
32203
6
32204
33
32205
26
32209
13
32301
23
32303
18
32305
11
32308
6
32309
22
33111
4
33112
18
33114
1
33115
2
33119
20
33121
9
33125
4
33127
4
33129
1
33130
4
33201
8
33202
3
33203
1
33204
2
33208
2
33209
7
33301
21
33302
10
33309
2
34101
51
34102
113
34103
50
34104
19
34106
15
34107
4
34201
73
34202
24
35204
7
35301
11
35302
4
35303
15
35911
28
35912
16
35913
4
35914
46
35921
24
35923
58
35991
1
35999
10
36101
872
36102
104
36103
13
36104
31
36109
35
36911
1174
36912
700
36913
2
36920
11
36931
5
36932
8
36934
7
36935
1
36939
26
36941
9
36942
35
36991
59
36992
5
36993
23
36994
2
36995
8
36996
140
36997
44
36998
240
36999
438
37100
14
37200
32
40101
341
40102
185
40103
41
40104
17
40105
38
40106
1
40107
4
40108
7
40109
653
40200
77
40300
6
41000
261
45101
21
45102
62
45201
13973
45202
1343
45203
1792
45204
51
45205
253
45206
16
45207
13
45208
44
45209
298
45301
219
45302
6
45303
391
45309
62
45401
328
45402
975
45403
224
45500
10
50101
34
50102
19
50103
15
50200
1427
50300
352
50401
47
50402
13
50403
20
50404
680
50500
142
51101
497
51102
130
51103
25
51109
305
51211
687
51212
39
51213
121
51214
46
51215
14
51216
30
51219
54
51221
334
51222
108
51223
55
51224
78
51225
122
51226
66
51227
41
51228
25
51229
73
51311
439
51312
19
51391
108
51392
28
51393
7
51394
4
51395
35
51396
60
51397
178
51398
31
51399
49
51410
32
51420
46
51431
72
51432
114
51433
43
51434
3
51491
57
51492
2
51493
4
51494
26
51495
22
51496
46
51497
25
51498
273
51501
25
51502
62
51503
5
51504
20
51505
53
51506
12
51507
12
51901
15
51909
180
52110
2513
52190
449
52201
15908
52202
3365
52203
1013
52204
275
52205
826
52206
159
52207
1820
52208
228
52209
593
52311
882
52312
392
52321
2654
52322
1234
52323
497
52324
87
52331
289
52332
429
52333
142
52334
345
52335
363
52339
373
52341
518
52342
695
52343
65
52391
66
52392
23
52393
500
52394
59
52395
432
52396
531
52397
275
52398
57
52399
1127
52400
223
52510
27
52520
285
52591
78
52599
863
52601
247
52602
604
52603
609
52604
254
52605
766
52609
830
55101
479
55102
85
55103
27
55104
34
55109
17
55201
511
55202
2685
55203
229
55204
166
55205
11
55209
1552
60100
1445
60210
1660
60221
3354
60222
1307
60231
4010
60232
1703
60300
19
61100
214
61200
113
62100
88
62200
5
63011
83
63012
107
63013
12
63021
88
63022
22
63023
35
63031
63
63032
114
63033
5
63040
134
63090
137
64110
579
64120
134
64201
743
64202
29
64203
143
64204
55
65110
371
65191
1581
65192
48
65910
47
65921
35
65922
13
65923
68
65929
106
65991
25
65992
113
65993
8
65999
128
66010
388
66020
14
66030
70
67110
33
67120
66
67190
52
67200
56
70101
142
70102
8
70103
2
70109
15
70200
80
71110
43
71210
8
71220
17
71301
277
71302
17
71309
67
72100
38
72200
194
72300
90
72400
29
72501
33
72502
3
72900
41
73100
64
73200
7
74110
688
74120
364
74130
20
74140
76
74210
102
74220
7
74300
68
74910
78
74920
110
74930
18
74940
279
74950
41
74991
13
74992
87
74993
108
74994
27
74995
10
74999
276
75111
2246
75112
8109
75113
1845
75121
111
75122
477
75123
225
75131
177
75132
203
75133
78
75141
172
75142
319
75143
95
75144
173
75210
2
75220
474
75231
242
75232
1211
75301
17
75302
68
80101
5378
80102
193
80211
3611
80212
47
80221
305
80222
6
80301
1030
80302
280
80901
33
80902
7
80903
248
80904
687
85110
1816
85120
683
85191
180
85192
12
85193
158
85194
336
85195
121
85196
3
85199
126
85200
193
85310
101
85320
163
90001
178
90002
139
90009
216
91110
17
91120
170
91200
26
91910
725
91920
27
91990
41
92111
71
92112
33
92113
19
92114
17
92120
139
92131
29
92132
58
92141
97
92142
153
92191
8
92199
119
92200
43
92311
16
92312
10
92321
12
92330
12
92411
19
92412
7
92413
8
92419
8
92490
94
93010
2015
93020
1516
93030
21
93090
4287
95001
666
95002
33
95003
7
95004
82
95005
7
95009
1163
99000
17
A0
1
Weekly acty NCO
418431
0
000
140
001
57
002
15
003
8
004
1
006
14
008
2
009
13
010
78
011
19
012
7
014
6
015
3
017
2
018
1
019
7
020
50
021
347
022
256
023
183
024
69
025
7
026
32
027
23
028
27
029
112
030
144
031
235
032
257
033
186
034
31
035
4
036
16
037
29
039
161
040
8
041
2
042
4
043
9
044
7
045
1
049
9
050
12
051
49
052
12
053
50
054
1
057
2
059
7
060
38
061
3
063
6
069
1
070
662
071
174
072
157
073
13
074
44
075
70
076
190
077
2
078
67
079
95
080
175
081
20
082
87
083
125
084
579
085
179
086
39
087
11
088
12
089
422
090
39
091
3
092
2
093
1
094
2
095
1
099
57
100
2
101
26
102
2
103
96
104
57
105
1
107
2
109
8
110
3
111
11
113
1
114
1
116
4
117
1
119
6
120
753
121
44
122
1
123
2
124
3
127
2
129
242
130
8
131
18
132
5
133
6
134
47
135
7
136
43
137
97
139
16
140
648
141
22
142
47
143
2
147
2
149
70
150
715
151
2708
152
1338
153
4478
154
492
155
146
156
82
157
11
158
2
159
950
160
6
161
65
162
2
163
5
169
29
170
51
171
68
172
26
173
114
177
1
179
74
180
122
181
17
182
7
183
13
184
9
186
1
187
1
188
2
189
74
190
400
191
240
192
101
193
30
194
2
195
3
199
89
200
9
201
27
202
32
206
1
209
17
210
184
211
475
212
47
213
69
214
1
217
1
219
60
220
529
221
3357
222
1
223
5
224
1
225
1
227
4
229
212
230
438
231
51
234
1
239
121
240
176
241
710
242
75
243
4737
244
4
245
5
246
2
248
8
249
629
250
1197
251
78
252
27
253
2
255
4
256
7
259
413
260
999
261
187
262
4
263
1
264
9
267
2
268
1
269
1176
270
5
271
1
273
2
276
7
279
2
280
12
281
3
284
5
286
2
289
9
290
2
291
6
292
1
293
9
294
3
295
2
296
1
299
407
300
1041
301
576
302
795
303
1
304
2
305
5
306
1
307
6
309
665
310
458
311
14
312
2
315
1
316
1
318
3
319
2
320
203
321
276
322
9
323
6
324
1
328
2
329
68
330
1031
331
345
336
2
337
1
338
3
339
86
340
35
341
122
342
1
343
4
345
4
347
1
349
234
350
5040
351
294
352
69
353
37
354
60
355
12
356
91
357
88
358
3075
359
373
360
64
361
195
362
2
363
2
364
2
366
1
368
1
369
199
370
70
371
575
372
2
374
10
375
1
377
1
379
132
380
248
381
104
384
2
385
8
386
1
389
150
390
236
391
13
392
40
396
1
398
2
399
126
400
1695
401
20818
402
15
403
9
404
21
405
2
407
15
409
412
410
400
411
41
412
507
413
9
414
2
415
2
417
1
419
586
420
90
421
35
422
3
427
2
429
23
430
4329
431
2665
432
5
433
2
434
3
435
14
437
3
439
1692
440
268
441
91
442
126
443
518
444
7
445
21
449
98
450
82
451
67
452
8
453
2
454
2
455
1
457
2
459
43
460
1
461
2
470
2
471
1
473
2
479
1
480
4
481
6
484
1
486
5
488
3
489
3
490
30
491
3
493
3
494
1
499
342
500
2012
501
6
502
3
509
1
510
123
511
14
513
1
514
11
517
8
519
1
520
918
521
700
522
33
523
3
524
7
525
1
526
1
528
1
529
778
530
478
531
2023
532
3
533
1
534
1
537
3
538
3
539
361
540
125
541
1981
542
172
543
3
544
2
547
2
549
281
550
1674
551
174
552
4
554
2
556
1
558
4
559
97
560
1526
561
3
562
1
569
1
570
95
571
1473
572
68
573
436
574
1503
575
11
576
8
577
7
579
110
580
2
581
2
586
3
587
2
589
1
590
29
591
13
592
3
593
4
595
3
597
3
599
532
600
151
601
51
602
15
603
42
604
71
605
9
609
56
610
109504
611
1464
612
27
613
5
614
3
616
8
618
4
619
1735
620
2650
621
11729
622
5962
623
259
624
73
625
334
626
3
627
5
628
2
629
263
630
63317
631
21
632
6
633
6
635
2
636
5
637
1
639
2
640
3855
641
331
643
2
645
1
649
424
650
186
651
559
652
320
655
6
657
1
658
1
659
113
660
210
661
635
662
320
663
15
669
183
670
35
671
6
672
8
673
1
676
1
678
1
679
11
680
681
681
724
682
20
683
2
684
5
686
4
687
1
688
7
689
308
690
9
692
1
699
7
701
3
702
2
703
3
704
10
705
3
709
1
710
86
711
138
712
348
713
46
714
9
715
186
716
8
717
19
718
6
719
291
720
122
721
50
722
71
723
12
724
76
725
158
726
9
727
7
728
73
729
195
730
30
731
58
732
242
733
43
734
39
735
5
737
11
739
116
740
111
741
28
742
23
743
24
744
3
745
14
747
1
749
325
750
284
751
305
752
935
753
57
754
116
755
3533
756
435
757
185
758
117
759
725
760
11
761
48
762
9
764
4
769
56
770
118
771
1229
772
136
773
158
774
235
775
222
776
65
777
991
778
149
779
139
780
6
781
43
782
22
783
5
784
3385
785
3
786
7
787
2
788
6
789
40
790
76
791
4172
792
47
793
4
794
50
795
798
796
72
797
6
798
2
799
701
800
27
801
558
802
148
803
11
804
4
805
7
807
1
808
3
809
147
810
38
811
2618
812
32
813
48
814
2
815
29
816
14
817
2
819
395
820
30
821
292
822
10
823
2
824
3
825
3
827
1
828
1
829
117
830
68
831
423
832
45
833
86
834
36
835
630
836
170
837
4
838
2
839
276
840
207
841
173
842
403
843
1583
844
15
845
1658
847
2
848
3
849
341
850
247
851
1168
852
114
853
148
854
430
855
358
856
100
857
466
859
545
860
22
861
26
862
50
864
2
869
43
870
80
871
400
872
645
873
107
874
157
878
2
879
160
880
51
881
1350
882
103
883
17
884
2
887
6
889
370
890
9
891
80
892
557
893
91
894
25
895
18
896
6
898
1
899
228
900
73
901
315
902
35
903
154
906
7
907
1
908
3
909
131
910
27
911
98
912
3
914
1
915
3
919
83
920
59
921
104
922
31
923
179
924
6
925
18
926
69
927
197
928
64
929
241
930
49
931
752
932
176
933
1
935
3
936
3
937
1
938
8
939
178
940
186
941
22
942
878
943
128
944
6
945
4
946
1
947
9
949
1839
950
550
951
3647
952
456
953
176
954
20
955
189
956
23
957
69
958
169
959
5623
960
14
961
133
962
50
963
198
964
3
966
4
968
3
969
60
970
416
971
1379
972
18
973
56
974
45
975
83
976
315
977
5
978
1
979
136
980
224
981
314
982
26
983
136
984
28
985
181
986
5202
987
582
988
1635
989
1305
990
10
991
20
992
6
993
2
994
5
995
14
996
1
997
13
998
4
999
13460
XXX
19247
Nss
960349
0
1
22
2.269
2.253
ss_replicate
960349
0
1
410
2.796
0.587
Multiplier Posted(o.oo)
960349
0
7.06
80002012.55
12492.177
82637.544
Multiplier Sch 10 & 10.1 Subround combined(generated)
960348
1
2.353
221964.84
4551.756
5032.223