Socio-Economic Survey, Household Schedule 10: Employment and Unemployment, July, 1987-June, 1988 - IPUMS Subset
India, 1988
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Reference ID
IND_1987_ES_v01_M_v7.5_A_IPUMS
Producer(s)
National Sample Survey Organization, Government of India, IPUMS
Metadata
Created on
Sep 03, 2025
Last modified
Sep 03, 2025
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118
- Data files
- IND1987_LFS--H-H.dat
- IND1987_LFS--P-H.dat
State-Region (IN1987A_REGION)
Data file: IND1987_LFS--H-H.dat
Overview
Type:
Discrete
Decimal:
0
Start:
166
End:
168
Width:
3
Range:
-
Format:
Numeric
Questions and instructions
Literal question
<svar a="all" v="IN87A020 IN87A021 IN87A022 IN87A023 IN87A024 IN87A025 IN87A026 IN87A027 IN87A028 IN87A029 IN87A030 IN87A032"><span class="h2">[1] Identification of sample household</span><br /><br />1. ____ Serial number<br />2. ____ State-region<br />3. ____ Stratum<br />4. ____ Sub-sample<br />5. ____ Sample village/section no.*<br />6. ____ Sub-round<br />7. ____ Sub-stratum<br />8. ____ Sample household no.<br />9. ____ State/u.t.<br />10. ____ District<br />11. ____ <span class="lang">Tehsil</span>/Town*<br />12. ____ Name of village<br />13. ____ Hamlet(s) surveyed<br />14. ____ Ward-iv. unit/section/ward-charge, circle/section*<br />15. ____ House number<br />16. ____ Name of head<br /><br />[*delete whichever is inapplicable.]<br /></svar>
Categories
| Value | Category |
|---|---|
| 021 | Coastal (Andhra Pradesh) |
| 022 | Inland Northern (Andhra Pradesh) |
| 023 | South-Western (Andhra Pradesh) |
| 024 | Inland Southern (Andhra Pradesh) |
| 031 | Plains Eastern (Assam) |
| 032 | Plains Western (Assam) |
| 033 | Hills (Assam) |
| 041 | Southern (Bihar) |
| 042 | Northern (Bihar) |
| 043 | Central (Bihar) |
| 051 | Eastern (Gujarat) |
| 052 | Plains Northern (Gujarat) |
| 053 | Plains Southern (Gujarat) |
| 054 | Dry areas (Gujarat) |
| 055 | Saurashtra (Gujarat) |
| 061 | Eastern (Haryana) |
| 062 | Western (Haryana) |
| 071 | Himachal Pradesh (Himachal Pradesh) |
| 081 | Mountainous (Jammu and Kashmir) |
| 082 | Outer Hills (Jammu and Kashmir) |
| 083 | Jhelam Valley (Jammu and Kashmir) |
| 091 | Coastal and Ghats (Karnataka) |
| 092 | Inland Eastern (Karnataka) |
| 093 | Inland Southern (Karnataka) |
| 094 | Inland Northern (Karnataka) |
| 101 | Northern (Kerala) |
| 102 | Southern (Kerala) |
| 111 | Chhattisgarh (Madhya Pradesh) |
| 112 | Vindhya (Madhya Pradesh) |
| 113 | Central (Madhya Pradesh) |
| 114 | Malwa (Madhya Pradesh) |
| 115 | South (Madhya Pradesh) |
| 116 | South-Western (Madhya Pradesh) |
| 117 | Northern (Madhya Pradesh) |
| 121 | Coastal (Maharashtra) |
| 122 | Inland Western (Maharashtra) |
| 123 | Inland Northern (Maharashtra) |
| 124 | Inland Central (Maharashtra) |
| 125 | Inland Eastern (Maharashtra) |
| 126 | Eastern (Maharashtra) |
| 131 | Plains (Manipur) |
| 132 | Hills (Manipur) |
| 141 | Meghalaya (Meghalaya) |
| 151 | Nagaland (Nagaland) |
| 161 | Coastal (Orissa) |
| 162 | Southern (Orissa) |
| 163 | Northern (Orissa) |
| 171 | Northern (Punjab) |
| 172 | Southern (Punjab) |
| 181 | Western (Rajasthan) |
| 182 | North-Eastern (Rajasthan) |
| 183 | Southern (Rajasthan) |
| 184 | South-Eastern (Rajasthan) |
| 191 | Sikkim (Sikkim) |
| 201 | Coastal Northern (Tamil Nadu) |
| 202 | Coastal (Tamil Nadu) |
| 203 | Southern (Tamil Nadu) |
| 204 | Inland (Tamil Nadu) |
| 211 | Tripura (Tripura) |
| 221 | Himalayan (Uttar Pradesh) |
| 222 | Western (Uttar Pradesh) |
| 223 | Central (Uttar Pradesh) |
| 224 | Eastern (Uttar Pradesh) |
| 225 | Southern (Uttar Pradesh) |
| 231 | Himalayan (West Bengal) |
| 232 | Eastern Plains (West Bengal) |
| 233 | Central Plains (West Bengal) |
| 234 | Western Plains (West Bengal) |
| 241 | Andaman and Nicobar Islands (Andaman and Nicober Islands) |
| 251 | Arunachal Pradesh (Arunachal Pradesh) |
| 261 | Chandigarh (Chandigarh) |
| 271 | Dadra and Nagar Haveli (Dadra and Nagar Haveli) |
| 281 | Delhi (Delhi) |
| 291 | Goa, Daman and Diu (Goa, Daman and Diu) |
| 301 | Lakshadweep (Lakshadweep) |
| 311 | Mizoram (Mizoram) |
| 321 | Pondicherry (Pondicherry) |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Interviewer instructions
<svar a="all" v="IN87A020 IN87A021 IN87A022 IN87A023 IN87A024 IN87A025 IN87A026 IN87A027 IN87A028 IN87A029 IN87A030">5.1.2<span class="em"> Items 7, 8, 15 and 16: Identification of sample households</span>: The identification particulars of the sample household, i.e. the substratum number (1 or 2) to which the sample household belongs, sample household number (order of selection), house number and the name of the head of the household are to be copied from block 6 of schedule 0.1/0.2 against items 7, 8, 15 and 16 respectively. The sub-stratum number will be 1 or 2 according to whether the sample household appears in columns 15 or 16 of schedule 0.1 for rural areas and 17 or 18 of block 6 of schedule 0.2 for urban areas. For sub-stratum 1, the sample household number will be copied from column 15 (Schedule 0.1) in the case of rural areas and from column17 (schedule 0.2) in the case of urban areas. Similarly, the sample household number for sub-stratum 2 will be copied from column16, block 6 (schedule 0.1) for rural areas and column18 block 6 (schedule 0.2) for urban areas. For each sample household, the house number and the name of the head of the household are to be copied respectively from columns 1 and 3 of block 6 of schedule 0.1 for rural areas and schedule 0.2 for urban areas.<br /></svar>
Description
Definition
This variable indicates the dwelling's region of residence within India. Regions are the second major administrative level of the country.
Universe
India 1987: All households
concept
Concept
| var_concept.title | Vocabulary |
|---|---|
| Geography: F-N Variables -- HOUSEHOLD | IPUMS |