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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
560490
- 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: 19 Orissa
File: 19 Orissa
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 1100404 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 804490 |  73.1%
| |
| 1 | 233100 | 21.2%
| |
| 10 | 590 | 0.1%
| |
| 100 | 12 | 0.0%
| |
| 1000 | 1 | 0.0%
| |
| 102 | 2 | 0.0%
| |
| 103 | 1 | 0.0%
| |
| 105 | 3 | 0.0%
| |
| 107 | 1 | 0.0%
| |
| 11 | 135 | 0.0%
| |
| 110 | 2 | 0.0%
| |
| 116 | 1 | 0.0%
| |
| 12 | 228 | 0.0%
| |
| 120 | 3 | 0.0%
| |
| 121 | 1 | 0.0%
| |
| 125 | 2 | 0.0%
| |
| 126 | 1 | 0.0%
| |
| 13 | 107 | 0.0%
| |
| 130 | 2 | 0.0%
| |
| 14 | 78 | 0.0%
| |
| 147 | 1 | 0.0%
| |
| 15 | 257 | 0.0%
| |
| 150 | 6 | 0.0%
| |
| 152 | 1 | 0.0%
| |
| 16 | 63 | 0.0%
| |
| 165 | 1 | 0.0%
| |
| 168 | 1 | 0.0%
| |
| 17 | 56 | 0.0%
| |
| 175 | 1 | 0.0%
| |
| 178 | 1 | 0.0%
| |
| 18 | 52 | 0.0%
| |
| 180 | 2 | 0.0%
| |
| 182 | 1 | 0.0%
| |
| 19 | 33 | 0.0%
| |
| 198 | 1 | 0.0%
| |
| 2 | 43770 | 4.0%
| |
| 20 | 242 | 0.0%
| |
| 200 | 3 | 0.0%
| |
| 209 | 1 | 0.0%
| |
| 21 | 37 | 0.0%
| |
| 212 | 1 | 0.0%
| |
| 22 | 41 | 0.0%
| |
| 220 | 1 | 0.0%
| |
| 221 | 1 | 0.0%
| |
| 222 | 1 | 0.0%
| |
| 224 | 1 | 0.0%
| |
| 23 | 30 | 0.0%
| |
| 239 | 1 | 0.0%
| |
| 24 | 22 | 0.0%
| |
| 240 | 1 | 0.0%
| |
| 243 | 3 | 0.0%
| |
| 25 | 100 | 0.0%
| |
| 250 | 1 | 0.0%
| |
| 252 | 1 | 0.0%
| |
| 26 | 30 | 0.0%
| |
| 264 | 1 | 0.0%
| |
| 27 | 20 | 0.0%
| |
| 28 | 28 | 0.0%
| |
| 29 | 30 | 0.0%
| |
| 3 | 9324 | 0.8%
| |
| 30 | 107 | 0.0%
| |
| 300 | 3 | 0.0%
| |
| 31 | 17 | 0.0%
| |
| 32 | 8 | 0.0%
| |
| 33 | 11 | 0.0%
| |
| 334 | 1 | 0.0%
| |
| 34 | 5 | 0.0%
| |
| 35 | 34 | 0.0%
| |
| 36 | 8 | 0.0%
| |
| 37 | 10 | 0.0%
| |
| 38 | 6 | 0.0%
| |
| 383 | 1 | 0.0%
| |
| 39 | 6 | 0.0%
| |
| 394 | 1 | 0.0%
| |
| 4 | 3143 | 0.3%
| |
| 40 | 67 | 0.0%
| |
| 400 | 1 | 0.0%
| |
| 41 | 4 | 0.0%
| |
| 42 | 5 | 0.0%
| |
| 43 | 3 | 0.0%
| |
| 44 | 6 | 0.0%
| |
| 45 | 17 | 0.0%
| |
| 46 | 3 | 0.0%
| |
| 47 | 6 | 0.0%
| |
| 470 | 1 | 0.0%
| |
| 48 | 5 | 0.0%
| |
| 49 | 2 | 0.0%
| |
| 5 | 1725 | 0.2%
| |
| 50 | 55 | 0.0%
| |
| 500 | 1 | 0.0%
| |
| 51 | 2 | 0.0%
| |
| 52 | 6 | 0.0%
| |
| 53 | 4 | 0.0%
| |
| 54 | 5 | 0.0%
| |
| 55 | 5 | 0.0%
| |
| 56 | 3 | 0.0%
| |
| 57 | 3 | 0.0%
| |
| 58 | 3 | 0.0%
| |
| 580 | 1 | 0.0%
| |
| 59 | 2 | 0.0%
| |
| 6 | 770 | 0.1%
| |
| 60 | 25 | 0.0%
| |
| 61 | 1 | 0.0%
| |
| 62 | 5 | 0.0%
| |
| 63 | 1 | 0.0%
| |
| 636 | 1 | 0.0%
| |
| 65 | 6 | 0.0%
| |
| 66 | 1 | 0.0%
| |
| 663 | 1 | 0.0%
| |
| 67 | 1 | 0.0%
| |
| 68 | 3 | 0.0%
| |
| 69 | 1 | 0.0%
| |
| 7 | 541 | 0.0%
| |
| 70 | 16 | 0.0%
| |
| 71 | 4 | 0.0%
| |
| 72 | 1 | 0.0%
| |
| 73 | 3 | 0.0%
| |
| 75 | 13 | 0.0%
| |
| 76 | 2 | 0.0%
| |
| 77 | 4 | 0.0%
| |
| 78 | 2 | 0.0%
| |
| 79 | 1 | 0.0%
| |
| 8 | 490 | 0.0%
| |
| 80 | 13 | 0.0%
| |
| 83 | 2 | 0.0%
| |
| 84 | 2 | 0.0%
| |
| 85 | 3 | 0.0%
| |
| 86 | 1 | 0.0%
| |
| 87 | 1 | 0.0%
| |
| 88 | 1 | 0.0%
| |
| 9 | 254 | 0.0%
| |
| 90 | 3 | 0.0%
| |
| 91 | 3 | 0.0%
| |
| 95 | 1 | 0.0%
| |
| 96 | 3 | 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.