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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
546501
- 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 and females
(TOTAL_M_F)
File: 22 Sikkim
File: 22 Sikkim
Overview
Type:
Discrete Format: character Width: 6 | Valid cases: 10686 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 3755 |  35.1%
| |
| 10 | 88 | 0.8%
| |
| 100 | 1 | 0.0%
| |
| 101 | 1 | 0.0%
| |
| 103 | 1 | 0.0%
| |
| 106 | 1 | 0.0%
| |
| 11 | 50 | 0.5%
| |
| 110 | 2 | 0.0%
| |
| 112 | 1 | 0.0%
| |
| 115 | 1 | 0.0%
| |
| 118 | 1 | 0.0%
| |
| 119 | 1 | 0.0%
| |
| 12 | 69 | 0.6%
| |
| 120 | 1 | 0.0%
| |
| 124 | 1 | 0.0%
| |
| 13 | 55 | 0.5%
| |
| 14 | 43 | 0.4%
| |
| 15 | 55 | 0.5%
| |
| 150 | 1 | 0.0%
| |
| 152 | 1 | 0.0%
| |
| 16 | 28 | 0.3%
| |
| 163 | 1 | 0.0%
| |
| 165 | 1 | 0.0%
| |
| 166 | 1 | 0.0%
| |
| 169 | 1 | 0.0%
| |
| 17 | 24 | 0.2%
| |
| 175 | 1 | 0.0%
| |
| 18 | 29 | 0.3%
| |
| 189 | 1 | 0.0%
| |
| 19 | 21 | 0.2%
| |
| 2 | 3039 | 28.4%
| |
| 20 | 22 | 0.2%
| |
| 203 | 1 | 0.0%
| |
| 21 | 16 | 0.1%
| |
| 210 | 1 | 0.0%
| |
| 211 | 1 | 0.0%
| |
| 217 | 1 | 0.0%
| |
| 22 | 17 | 0.2%
| |
| 224 | 1 | 0.0%
| |
| 23 | 16 | 0.1%
| |
| 24 | 9 | 0.1%
| |
| 248 | 1 | 0.0%
| |
| 25 | 18 | 0.2%
| |
| 252 | 1 | 0.0%
| |
| 259 | 1 | 0.0%
| |
| 26 | 8 | 0.1%
| |
| 261 | 1 | 0.0%
| |
| 267 | 1 | 0.0%
| |
| 27 | 13 | 0.1%
| |
| 272 | 1 | 0.0%
| |
| 28 | 10 | 0.1%
| |
| 286 | 1 | 0.0%
| |
| 29 | 8 | 0.1%
| |
| 3 | 1282 | 12.0%
| |
| 30 | 7 | 0.1%
| |
| 31 | 11 | 0.1%
| |
| 32 | 4 | 0.0%
| |
| 33 | 2 | 0.0%
| |
| 34 | 6 | 0.1%
| |
| 35 | 4 | 0.0%
| |
| 36 | 8 | 0.1%
| |
| 37 | 3 | 0.0%
| |
| 38 | 8 | 0.1%
| |
| 39 | 3 | 0.0%
| |
| 4 | 673 | 6.3%
| |
| 40 | 7 | 0.1%
| |
| 41 | 4 | 0.0%
| |
| 42 | 3 | 0.0%
| |
| 43 | 4 | 0.0%
| |
| 44 | 1 | 0.0%
| |
| 45 | 1 | 0.0%
| |
| 46 | 7 | 0.1%
| |
| 47 | 3 | 0.0%
| |
| 48 | 3 | 0.0%
| |
| 49 | 2 | 0.0%
| |
| 5 | 406 | 3.8%
| |
| 50 | 8 | 0.1%
| |
| 51 | 2 | 0.0%
| |
| 52 | 4 | 0.0%
| |
| 520 | 1 | 0.0%
| |
| 53 | 1 | 0.0%
| |
| 54 | 2 | 0.0%
| |
| 55 | 1 | 0.0%
| |
| 56 | 1 | 0.0%
| |
| 58 | 3 | 0.0%
| |
| 59 | 1 | 0.0%
| |
| 6 | 287 | 2.7%
| |
| 60 | 1 | 0.0%
| |
| 61 | 2 | 0.0%
| |
| 62 | 4 | 0.0%
| |
| 63 | 3 | 0.0%
| |
| 65 | 3 | 0.0%
| |
| 66 | 3 | 0.0%
| |
| 67 | 1 | 0.0%
| |
| 69 | 2 | 0.0%
| |
| 7 | 212 | 2.0%
| |
| 70 | 2 | 0.0%
| |
| 71 | 1 | 0.0%
| |
| 72 | 1 | 0.0%
| |
| 73 | 2 | 0.0%
| |
| 730 | 1 | 0.0%
| |
| 74 | 2 | 0.0%
| |
| 8 | 153 | 1.4%
| |
| 80 | 1 | 0.0%
| |
| 82 | 2 | 0.0%
| |
| 84 | 1 | 0.0%
| |
| 89 | 1 | 0.0%
| |
| 9 | 95 | 0.9%
| |
| 92 | 1 | 0.0%
| |
| 95 | 1 | 0.0%
| |
| 97 | 1 | 0.0%
| |
| 98 | 2 | 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.