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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
546085
- 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
Males (hired)
(M_HIRED)
File: 18 Nagaland
File: 18 Nagaland
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 23771 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 11072 |  46.6%
| |
| 1 | 5012 | 21.1%
| |
| 10 | 168 | 0.7%
| |
| 100 | 1 | 0.0%
| |
| 104 | 1 | 0.0%
| |
| 106 | 1 | 0.0%
| |
| 1067 | 1 | 0.0%
| |
| 11 | 78 | 0.3%
| |
| 112 | 1 | 0.0%
| |
| 113 | 1 | 0.0%
| |
| 115 | 1 | 0.0%
| |
| 116 | 1 | 0.0%
| |
| 118 | 1 | 0.0%
| |
| 12 | 115 | 0.5%
| |
| 120 | 1 | 0.0%
| |
| 125 | 2 | 0.0%
| |
| 126 | 1 | 0.0%
| |
| 129 | 1 | 0.0%
| |
| 13 | 60 | 0.3%
| |
| 132 | 2 | 0.0%
| |
| 133 | 1 | 0.0%
| |
| 134 | 1 | 0.0%
| |
| 137 | 1 | 0.0%
| |
| 14 | 67 | 0.3%
| |
| 149 | 2 | 0.0%
| |
| 15 | 71 | 0.3%
| |
| 150 | 2 | 0.0%
| |
| 152 | 1 | 0.0%
| |
| 153 | 1 | 0.0%
| |
| 157 | 1 | 0.0%
| |
| 16 | 53 | 0.2%
| |
| 164 | 1 | 0.0%
| |
| 165 | 1 | 0.0%
| |
| 17 | 32 | 0.1%
| |
| 18 | 55 | 0.2%
| |
| 181 | 1 | 0.0%
| |
| 19 | 22 | 0.1%
| |
| 195 | 1 | 0.0%
| |
| 199 | 1 | 0.0%
| |
| 2 | 2681 | 11.3%
| |
| 20 | 56 | 0.2%
| |
| 200 | 2 | 0.0%
| |
| 209 | 1 | 0.0%
| |
| 21 | 11 | 0.0%
| |
| 211 | 2 | 0.0%
| |
| 214 | 1 | 0.0%
| |
| 215 | 1 | 0.0%
| |
| 22 | 22 | 0.1%
| |
| 23 | 14 | 0.1%
| |
| 24 | 19 | 0.1%
| |
| 25 | 30 | 0.1%
| |
| 26 | 14 | 0.1%
| |
| 27 | 12 | 0.1%
| |
| 272 | 1 | 0.0%
| |
| 28 | 9 | 0.0%
| |
| 29 | 10 | 0.0%
| |
| 3 | 1458 | 6.1%
| |
| 30 | 22 | 0.1%
| |
| 300 | 1 | 0.0%
| |
| 31 | 6 | 0.0%
| |
| 315 | 1 | 0.0%
| |
| 32 | 4 | 0.0%
| |
| 33 | 8 | 0.0%
| |
| 34 | 8 | 0.0%
| |
| 35 | 9 | 0.0%
| |
| 36 | 6 | 0.0%
| |
| 37 | 7 | 0.0%
| |
| 38 | 5 | 0.0%
| |
| 39 | 4 | 0.0%
| |
| 4 | 913 | 3.8%
| |
| 40 | 10 | 0.0%
| |
| 400 | 1 | 0.0%
| |
| 41 | 3 | 0.0%
| |
| 42 | 7 | 0.0%
| |
| 43 | 4 | 0.0%
| |
| 438 | 1 | 0.0%
| |
| 44 | 1 | 0.0%
| |
| 45 | 4 | 0.0%
| |
| 46 | 3 | 0.0%
| |
| 47 | 4 | 0.0%
| |
| 48 | 4 | 0.0%
| |
| 49 | 1 | 0.0%
| |
| 490 | 1 | 0.0%
| |
| 5 | 598 | 2.5%
| |
| 50 | 12 | 0.1%
| |
| 500 | 1 | 0.0%
| |
| 51 | 3 | 0.0%
| |
| 52 | 3 | 0.0%
| |
| 53 | 2 | 0.0%
| |
| 54 | 1 | 0.0%
| |
| 56 | 4 | 0.0%
| |
| 57 | 2 | 0.0%
| |
| 58 | 1 | 0.0%
| |
| 59 | 2 | 0.0%
| |
| 6 | 332 | 1.4%
| |
| 60 | 4 | 0.0%
| |
| 63 | 2 | 0.0%
| |
| 64 | 2 | 0.0%
| |
| 66 | 1 | 0.0%
| |
| 68 | 2 | 0.0%
| |
| 7 | 219 | 0.9%
| |
| 70 | 2 | 0.0%
| |
| 71 | 4 | 0.0%
| |
| 72 | 1 | 0.0%
| |
| 73 | 2 | 0.0%
| |
| 74 | 1 | 0.0%
| |
| 75 | 2 | 0.0%
| |
| 76 | 1 | 0.0%
| |
| 78 | 2 | 0.0%
| |
| 79 | 1 | 0.0%
| |
| 8 | 210 | 0.9%
| |
| 80 | 2 | 0.0%
| |
| 87 | 1 | 0.0%
| |
| 88 | 1 | 0.0%
| |
| 89 | 1 | 0.0%
| |
| 9 | 125 | 0.5%
| |
| 90 | 2 | 0.0%
| |
| 93 | 2 | 0.0%
| |
| 96 | 1 | 0.0%
| |
| 97 | 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.