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
552879
- 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: 22 Sikkim
File: 22 Sikkim
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 10686 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0 | 6559 | 61.4% | |
1 | 2327 | 21.8% | |
10 | 21 | 0.2% | |
11 | 10 | 0.1% | |
12 | 21 | 0.2% | |
122 | 1 | 0.0% | |
13 | 10 | 0.1% | |
14 | 8 | 0.1% | |
15 | 16 | 0.1% | |
16 | 7 | 0.1% | |
17 | 8 | 0.1% | |
170 | 1 | 0.0% | |
18 | 6 | 0.1% | |
183 | 1 | 0.0% | |
2 | 919 | 8.6% | |
20 | 10 | 0.1% | |
21 | 2 | 0.0% | |
22 | 1 | 0.0% | |
23 | 1 | 0.0% | |
24 | 4 | 0.0% | |
25 | 1 | 0.0% | |
26 | 1 | 0.0% | |
27 | 3 | 0.0% | |
28 | 2 | 0.0% | |
29 | 2 | 0.0% | |
3 | 268 | 2.5% | |
30 | 5 | 0.0% | |
31 | 4 | 0.0% | |
32 | 2 | 0.0% | |
33 | 1 | 0.0% | |
34 | 1 | 0.0% | |
35 | 2 | 0.0% | |
37 | 2 | 0.0% | |
38 | 2 | 0.0% | |
4 | 158 | 1.5% | |
40 | 3 | 0.0% | |
42 | 1 | 0.0% | |
43 | 1 | 0.0% | |
45 | 1 | 0.0% | |
46 | 2 | 0.0% | |
5 | 124 | 1.2% | |
50 | 2 | 0.0% | |
52 | 1 | 0.0% | |
56 | 1 | 0.0% | |
58 | 1 | 0.0% | |
59 | 1 | 0.0% | |
6 | 66 | 0.6% | |
60 | 1 | 0.0% | |
67 | 1 | 0.0% | |
68 | 1 | 0.0% | |
7 | 46 | 0.4% | |
8 | 30 | 0.3% | |
85 | 1 | 0.0% | |
87 | 2 | 0.0% | |
9 | 13 | 0.1% |
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.