Digg
Google Buzz
LinkedIn
Stumbleupon
Delicious
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
563039
- 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 (including unpaid &hired)
(M_UNPAID_H)
File: 16 Meghalaya
File: 16 Meghalaya
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 49971 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 8615 |  17.2%
| |
| 1 | 20297 | 40.6%
| |
| 10 | 289 | 0.6%
| |
| 100 | 2 | 0.0%
| |
| 101 | 2 | 0.0%
| |
| 102 | 1 | 0.0%
| |
| 103 | 1 | 0.0%
| |
| 11 | 159 | 0.3%
| |
| 110 | 1 | 0.0%
| |
| 113 | 1 | 0.0%
| |
| 114 | 2 | 0.0%
| |
| 115 | 1 | 0.0%
| |
| 117 | 1 | 0.0%
| |
| 118 | 1 | 0.0%
| |
| 12 | 125 | 0.3%
| |
| 122 | 1 | 0.0%
| |
| 123 | 3 | 0.0%
| |
| 127 | 1 | 0.0%
| |
| 129 | 1 | 0.0%
| |
| 13 | 95 | 0.2%
| |
| 130 | 1 | 0.0%
| |
| 132 | 3 | 0.0%
| |
| 133 | 2 | 0.0%
| |
| 14 | 72 | 0.1%
| |
| 140 | 2 | 0.0%
| |
| 147 | 1 | 0.0%
| |
| 15 | 124 | 0.2%
| |
| 153 | 1 | 0.0%
| |
| 16 | 78 | 0.2%
| |
| 17 | 35 | 0.1%
| |
| 170 | 1 | 0.0%
| |
| 178 | 1 | 0.0%
| |
| 18 | 51 | 0.1%
| |
| 182 | 1 | 0.0%
| |
| 19 | 40 | 0.1%
| |
| 198 | 1 | 0.0%
| |
| 2 | 9840 | 19.7%
| |
| 20 | 67 | 0.1%
| |
| 200 | 1 | 0.0%
| |
| 201 | 1 | 0.0%
| |
| 204 | 1 | 0.0%
| |
| 21 | 52 | 0.1%
| |
| 210 | 1 | 0.0%
| |
| 219 | 1 | 0.0%
| |
| 22 | 17 | 0.0%
| |
| 23 | 25 | 0.1%
| |
| 231 | 1 | 0.0%
| |
| 24 | 27 | 0.1%
| |
| 2433 | 1 | 0.0%
| |
| 25 | 32 | 0.1%
| |
| 26 | 12 | 0.0%
| |
| 27 | 13 | 0.0%
| |
| 28 | 14 | 0.0%
| |
| 29 | 11 | 0.0%
| |
| 291 | 1 | 0.0%
| |
| 3 | 4273 | 8.6%
| |
| 30 | 24 | 0.0%
| |
| 300 | 1 | 0.0%
| |
| 302 | 1 | 0.0%
| |
| 31 | 17 | 0.0%
| |
| 311 | 1 | 0.0%
| |
| 32 | 7 | 0.0%
| |
| 33 | 3 | 0.0%
| |
| 335 | 1 | 0.0%
| |
| 34 | 10 | 0.0%
| |
| 344 | 1 | 0.0%
| |
| 35 | 11 | 0.0%
| |
| 36 | 12 | 0.0%
| |
| 37 | 7 | 0.0%
| |
| 375 | 1 | 0.0%
| |
| 376 | 1 | 0.0%
| |
| 38 | 7 | 0.0%
| |
| 39 | 7 | 0.0%
| |
| 4 | 2064 | 4.1%
| |
| 40 | 14 | 0.0%
| |
| 400 | 1 | 0.0%
| |
| 41 | 9 | 0.0%
| |
| 42 | 3 | 0.0%
| |
| 43 | 6 | 0.0%
| |
| 44 | 2 | 0.0%
| |
| 45 | 5 | 0.0%
| |
| 46 | 5 | 0.0%
| |
| 47 | 4 | 0.0%
| |
| 48 | 6 | 0.0%
| |
| 49 | 1 | 0.0%
| |
| 5 | 1267 | 2.5%
| |
| 50 | 7 | 0.0%
| |
| 51 | 6 | 0.0%
| |
| 517 | 1 | 0.0%
| |
| 52 | 1 | 0.0%
| |
| 53 | 5 | 0.0%
| |
| 54 | 3 | 0.0%
| |
| 55 | 3 | 0.0%
| |
| 56 | 1 | 0.0%
| |
| 58 | 3 | 0.0%
| |
| 580 | 1 | 0.0%
| |
| 59 | 1 | 0.0%
| |
| 6 | 838 | 1.7%
| |
| 60 | 4 | 0.0%
| |
| 61 | 3 | 0.0%
| |
| 62 | 1 | 0.0%
| |
| 63 | 1 | 0.0%
| |
| 64 | 3 | 0.0%
| |
| 640 | 1 | 0.0%
| |
| 647 | 1 | 0.0%
| |
| 65 | 1 | 0.0%
| |
| 66 | 3 | 0.0%
| |
| 68 | 1 | 0.0%
| |
| 688 | 1 | 0.0%
| |
| 69 | 1 | 0.0%
| |
| 7 | 455 | 0.9%
| |
| 70 | 3 | 0.0%
| |
| 72 | 2 | 0.0%
| |
| 73 | 1 | 0.0%
| |
| 74 | 1 | 0.0%
| |
| 75 | 3 | 0.0%
| |
| 76 | 2 | 0.0%
| |
| 77 | 1 | 0.0%
| |
| 79 | 2 | 0.0%
| |
| 8 | 411 | 0.8%
| |
| 80 | 3 | 0.0%
| |
| 81 | 1 | 0.0%
| |
| 832 | 1 | 0.0%
| |
| 838 | 1 | 0.0%
| |
| 84 | 1 | 0.0%
| |
| 85 | 1 | 0.0%
| |
| 9 | 280 | 0.6%
| |
| 90 | 1 | 0.0%
| |
| 92 | 4 | 0.0%
| |
| 95 | 1 | 0.0%
| |
| 951 | 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.