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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
546186
- 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
Total (males & females hired)
(TOTAL_M_F_H)
File: 18 Nagaland
File: 18 Nagaland
Overview
Type:
Discrete Format: character Width: 6 | Valid cases: 23771 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 10610 |  44.6%
| |
| 1 | 4668 | 19.6%
| |
| 10 | 183 | 0.8%
| |
| 104 | 2 | 0.0%
| |
| 106 | 1 | 0.0%
| |
| 1073 | 1 | 0.0%
| |
| 108 | 1 | 0.0%
| |
| 109 | 1 | 0.0%
| |
| 11 | 91 | 0.4%
| |
| 111 | 1 | 0.0%
| |
| 112 | 1 | 0.0%
| |
| 113 | 2 | 0.0%
| |
| 117 | 1 | 0.0%
| |
| 12 | 134 | 0.6%
| |
| 120 | 1 | 0.0%
| |
| 124 | 1 | 0.0%
| |
| 125 | 1 | 0.0%
| |
| 127 | 1 | 0.0%
| |
| 129 | 1 | 0.0%
| |
| 13 | 91 | 0.4%
| |
| 132 | 1 | 0.0%
| |
| 133 | 1 | 0.0%
| |
| 135 | 1 | 0.0%
| |
| 136 | 1 | 0.0%
| |
| 137 | 1 | 0.0%
| |
| 14 | 94 | 0.4%
| |
| 141 | 1 | 0.0%
| |
| 145 | 1 | 0.0%
| |
| 149 | 2 | 0.0%
| |
| 15 | 94 | 0.4%
| |
| 150 | 2 | 0.0%
| |
| 16 | 48 | 0.2%
| |
| 163 | 1 | 0.0%
| |
| 17 | 53 | 0.2%
| |
| 176 | 1 | 0.0%
| |
| 178 | 1 | 0.0%
| |
| 18 | 59 | 0.2%
| |
| 180 | 1 | 0.0%
| |
| 19 | 35 | 0.1%
| |
| 196 | 1 | 0.0%
| |
| 199 | 1 | 0.0%
| |
| 2 | 2640 | 11.1%
| |
| 20 | 65 | 0.3%
| |
| 200 | 2 | 0.0%
| |
| 209 | 2 | 0.0%
| |
| 21 | 27 | 0.1%
| |
| 22 | 31 | 0.1%
| |
| 225 | 2 | 0.0%
| |
| 23 | 15 | 0.1%
| |
| 233 | 1 | 0.0%
| |
| 236 | 1 | 0.0%
| |
| 24 | 23 | 0.1%
| |
| 25 | 38 | 0.2%
| |
| 250 | 1 | 0.0%
| |
| 252 | 1 | 0.0%
| |
| 255 | 1 | 0.0%
| |
| 26 | 14 | 0.1%
| |
| 27 | 17 | 0.1%
| |
| 28 | 14 | 0.1%
| |
| 29 | 19 | 0.1%
| |
| 290 | 1 | 0.0%
| |
| 3 | 1378 | 5.8%
| |
| 30 | 24 | 0.1%
| |
| 30007 | 1 | 0.0%
| |
| 31 | 9 | 0.0%
| |
| 32 | 13 | 0.1%
| |
| 33 | 8 | 0.0%
| |
| 330 | 1 | 0.0%
| |
| 339 | 1 | 0.0%
| |
| 34 | 3 | 0.0%
| |
| 35 | 22 | 0.1%
| |
| 36 | 7 | 0.0%
| |
| 37 | 5 | 0.0%
| |
| 38 | 8 | 0.0%
| |
| 39 | 7 | 0.0%
| |
| 4 | 1059 | 4.5%
| |
| 40 | 18 | 0.1%
| |
| 400 | 2 | 0.0%
| |
| 41 | 6 | 0.0%
| |
| 411 | 1 | 0.0%
| |
| 42 | 2 | 0.0%
| |
| 421 | 1 | 0.0%
| |
| 43 | 6 | 0.0%
| |
| 44 | 3 | 0.0%
| |
| 45 | 13 | 0.1%
| |
| 46 | 2 | 0.0%
| |
| 47 | 4 | 0.0%
| |
| 470 | 1 | 0.0%
| |
| 48 | 2 | 0.0%
| |
| 49 | 6 | 0.0%
| |
| 494 | 1 | 0.0%
| |
| 5 | 720 | 3.0%
| |
| 50 | 12 | 0.1%
| |
| 500 | 1 | 0.0%
| |
| 51 | 2 | 0.0%
| |
| 52 | 1 | 0.0%
| |
| 53 | 2 | 0.0%
| |
| 54 | 4 | 0.0%
| |
| 55 | 6 | 0.0%
| |
| 56 | 3 | 0.0%
| |
| 57 | 6 | 0.0%
| |
| 58 | 5 | 0.0%
| |
| 59 | 1 | 0.0%
| |
| 6 | 493 | 2.1%
| |
| 60 | 7 | 0.0%
| |
| 61 | 1 | 0.0%
| |
| 62 | 2 | 0.0%
| |
| 63 | 2 | 0.0%
| |
| 64 | 3 | 0.0%
| |
| 65 | 3 | 0.0%
| |
| 66 | 1 | 0.0%
| |
| 67 | 1 | 0.0%
| |
| 68 | 2 | 0.0%
| |
| 69 | 1 | 0.0%
| |
| 7 | 320 | 1.3%
| |
| 70 | 2 | 0.0%
| |
| 71 | 2 | 0.0%
| |
| 72 | 1 | 0.0%
| |
| 73 | 1 | 0.0%
| |
| 74 | 1 | 0.0%
| |
| 75 | 1 | 0.0%
| |
| 76 | 1 | 0.0%
| |
| 78 | 2 | 0.0%
| |
| 8 | 243 | 1.0%
| |
| 80 | 6 | 0.0%
| |
| 82 | 1 | 0.0%
| |
| 83 | 2 | 0.0%
| |
| 84 | 1 | 0.0%
| |
| 85 | 2 | 0.0%
| |
| 87 | 2 | 0.0%
| |
| 88 | 2 | 0.0%
| |
| 89 | 2 | 0.0%
| |
| 9 | 172 | 0.7%
| |
| 90 | 2 | 0.0%
| |
| 94 | 2 | 0.0%
| |
| 95 | 1 | 0.0%
| |
| 96 | 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.