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India - Third Economic Census 1990
| Reference ID | IDDI-IND-MOSPI-3-EC-1990 |
| Year | 0 |
| Country | India |
| Producer(s) | Central Statistical Organisation(CSO) - Ministry of Statistics and Programme Implementation, Government of India (GOI) |
| Collection(s) |
Created on
Apr 24, 2018
Last modified
Mar 29, 2019
Page views
562389
- 02 Andhra Pradesh
- 03 Arunachal Pradesh
- 04 Assam
- 05 Bihar
- 06 Goa
- 07 Gujarat
- 08 Haryana
- 09 Himachal Pradesh
- 11 Karnataka
- 12 Kerala
- 13 Madhya Pradesh
- 14 Maharashtra
- 15 Manipur
- 16 Meghalaya
- 17 Mizoram
- 18 Nagaland
- 19 Orissa
- 20 Punjab
- 21 Rajasthan
- 22 Sikkim
- 23 Tamil Nadu
- 24 Tripura
- 25 Utter Pradesh
- 26 West Bengal
- 27 Andaman & Nic
obar - 28 Chandigarh
- 29 Dadar & Nagar
Haveli - 30 Daman & Diu
- 31 Delhi
- 33 Pondicherry
Female (including unpaid & hired
(F_UNPAID_H)
File: 20 Punjab
File: 20 Punjab
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 601889 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 554928 |  92.2%
| |
| 1 | 24103 | 4.0%
| |
| 10 | 527 | 0.1%
| |
| 100 | 4 | 0.0%
| |
| 101 | 1 | 0.0%
| |
| 106 | 1 | 0.0%
| |
| 108 | 3 | 0.0%
| |
| 11 | 232 | 0.0%
| |
| 110 | 4 | 0.0%
| |
| 119 | 2 | 0.0%
| |
| 12 | 254 | 0.0%
| |
| 120 | 1 | 0.0%
| |
| 125 | 4 | 0.0%
| |
| 128 | 1 | 0.0%
| |
| 13 | 157 | 0.0%
| |
| 130 | 2 | 0.0%
| |
| 133 | 1 | 0.0%
| |
| 139 | 2 | 0.0%
| |
| 14 | 122 | 0.0%
| |
| 143 | 1 | 0.0%
| |
| 149 | 1 | 0.0%
| |
| 15 | 195 | 0.0%
| |
| 150 | 2 | 0.0%
| |
| 151 | 1 | 0.0%
| |
| 152 | 1 | 0.0%
| |
| 155 | 1 | 0.0%
| |
| 16 | 120 | 0.0%
| |
| 161 | 1 | 0.0%
| |
| 17 | 93 | 0.0%
| |
| 170 | 1 | 0.0%
| |
| 171 | 1 | 0.0%
| |
| 175 | 2 | 0.0%
| |
| 18 | 82 | 0.0%
| |
| 186 | 1 | 0.0%
| |
| 19 | 50 | 0.0%
| |
| 190 | 1 | 0.0%
| |
| 196 | 1 | 0.0%
| |
| 2 | 9143 | 1.5%
| |
| 20 | 121 | 0.0%
| |
| 200 | 5 | 0.0%
| |
| 2000 | 1 | 0.0%
| |
| 206 | 2 | 0.0%
| |
| 21 | 38 | 0.0%
| |
| 22 | 43 | 0.0%
| |
| 224 | 1 | 0.0%
| |
| 227 | 1 | 0.0%
| |
| 23 | 38 | 0.0%
| |
| 230 | 2 | 0.0%
| |
| 24 | 23 | 0.0%
| |
| 25 | 52 | 0.0%
| |
| 250 | 3 | 0.0%
| |
| 26 | 21 | 0.0%
| |
| 27 | 19 | 0.0%
| |
| 270 | 1 | 0.0%
| |
| 28 | 24 | 0.0%
| |
| 289 | 1 | 0.0%
| |
| 29 | 16 | 0.0%
| |
| 3 | 3856 | 0.6%
| |
| 30 | 38 | 0.0%
| |
| 300 | 1 | 0.0%
| |
| 31 | 13 | 0.0%
| |
| 310 | 1 | 0.0%
| |
| 32 | 27 | 0.0%
| |
| 320 | 1 | 0.0%
| |
| 325 | 1 | 0.0%
| |
| 33 | 19 | 0.0%
| |
| 333 | 1 | 0.0%
| |
| 34 | 11 | 0.0%
| |
| 35 | 13 | 0.0%
| |
| 36 | 8 | 0.0%
| |
| 37 | 9 | 0.0%
| |
| 38 | 9 | 0.0%
| |
| 39 | 11 | 0.0%
| |
| 4 | 2465 | 0.4%
| |
| 40 | 23 | 0.0%
| |
| 400 | 1 | 0.0%
| |
| 401 | 1 | 0.0%
| |
| 41 | 8 | 0.0%
| |
| 42 | 9 | 0.0%
| |
| 43 | 6 | 0.0%
| |
| 44 | 6 | 0.0%
| |
| 45 | 10 | 0.0%
| |
| 46 | 7 | 0.0%
| |
| 47 | 5 | 0.0%
| |
| 48 | 4 | 0.0%
| |
| 49 | 3 | 0.0%
| |
| 497 | 1 | 0.0%
| |
| 5 | 1780 | 0.3%
| |
| 50 | 21 | 0.0%
| |
| 51 | 5 | 0.0%
| |
| 52 | 3 | 0.0%
| |
| 53 | 3 | 0.0%
| |
| 536 | 1 | 0.0%
| |
| 54 | 4 | 0.0%
| |
| 55 | 4 | 0.0%
| |
| 554 | 1 | 0.0%
| |
| 56 | 3 | 0.0%
| |
| 57 | 1 | 0.0%
| |
| 570 | 1 | 0.0%
| |
| 58 | 3 | 0.0%
| |
| 59 | 4 | 0.0%
| |
| 6 | 1146 | 0.2%
| |
| 60 | 9 | 0.0%
| |
| 61 | 1 | 0.0%
| |
| 62 | 3 | 0.0%
| |
| 63 | 2 | 0.0%
| |
| 64 | 4 | 0.0%
| |
| 65 | 1 | 0.0%
| |
| 67 | 1 | 0.0%
| |
| 68 | 3 | 0.0%
| |
| 69 | 3 | 0.0%
| |
| 7 | 791 | 0.1%
| |
| 70 | 7 | 0.0%
| |
| 700 | 1 | 0.0%
| |
| 71 | 1 | 0.0%
| |
| 72 | 3 | 0.0%
| |
| 73 | 1 | 0.0%
| |
| 75 | 1 | 0.0%
| |
| 76 | 3 | 0.0%
| |
| 77 | 1 | 0.0%
| |
| 78 | 1 | 0.0%
| |
| 8 | 643 | 0.1%
| |
| 80 | 5 | 0.0%
| |
| 82 | 1 | 0.0%
| |
| 83 | 3 | 0.0%
| |
| 88 | 1 | 0.0%
| |
| 9 | 382 | 0.1%
| |
| 90 | 3 | 0.0%
| |
| 903 | 1 | 0.0%
| |
| 91 | 2 | 0.0%
| |
| 92 | 1 | 0.0%
| |
| 95 | 1 | 0.0%
| |
| 950 | 1 | 0.0%
| |
| 98 | 1 | 0.0%
|
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.