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
560852
- 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: 22 Sikkim
File: 22 Sikkim
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 10686 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0 | 5704 | 53.4% | |
1 | 1856 | 17.4% | |
10 | 67 | 0.6% | |
102 | 1 | 0.0% | |
103 | 2 | 0.0% | |
108 | 1 | 0.0% | |
109 | 1 | 0.0% | |
11 | 49 | 0.5% | |
110 | 1 | 0.0% | |
111 | 1 | 0.0% | |
12 | 47 | 0.4% | |
126 | 1 | 0.0% | |
127 | 1 | 0.0% | |
13 | 26 | 0.2% | |
132 | 1 | 0.0% | |
139 | 1 | 0.0% | |
14 | 26 | 0.2% | |
141 | 1 | 0.0% | |
15 | 32 | 0.3% | |
150 | 3 | 0.0% | |
16 | 26 | 0.2% | |
165 | 1 | 0.0% | |
17 | 21 | 0.2% | |
178 | 1 | 0.0% | |
18 | 19 | 0.2% | |
186 | 1 | 0.0% | |
19 | 21 | 0.2% | |
2 | 1030 | 9.6% | |
20 | 16 | 0.1% | |
203 | 1 | 0.0% | |
204 | 1 | 0.0% | |
21 | 8 | 0.1% | |
219 | 1 | 0.0% | |
22 | 8 | 0.1% | |
220 | 1 | 0.0% | |
226 | 1 | 0.0% | |
23 | 8 | 0.1% | |
24 | 4 | 0.0% | |
25 | 11 | 0.1% | |
26 | 5 | 0.0% | |
27 | 3 | 0.0% | |
28 | 5 | 0.0% | |
29 | 5 | 0.0% | |
3 | 529 | 5.0% | |
30 | 14 | 0.1% | |
31 | 5 | 0.0% | |
32 | 1 | 0.0% | |
33 | 2 | 0.0% | |
34 | 3 | 0.0% | |
35 | 1 | 0.0% | |
36 | 2 | 0.0% | |
37 | 3 | 0.0% | |
38 | 4 | 0.0% | |
39 | 3 | 0.0% | |
4 | 358 | 3.4% | |
40 | 4 | 0.0% | |
41 | 2 | 0.0% | |
42 | 3 | 0.0% | |
43 | 2 | 0.0% | |
44 | 1 | 0.0% | |
45 | 4 | 0.0% | |
46 | 1 | 0.0% | |
48 | 3 | 0.0% | |
485 | 1 | 0.0% | |
49 | 3 | 0.0% | |
5 | 240 | 2.2% | |
50 | 4 | 0.0% | |
51 | 4 | 0.0% | |
52 | 1 | 0.0% | |
54 | 1 | 0.0% | |
55 | 1 | 0.0% | |
56 | 2 | 0.0% | |
57 | 1 | 0.0% | |
58 | 2 | 0.0% | |
59 | 1 | 0.0% | |
6 | 150 | 1.4% | |
60 | 1 | 0.0% | |
61 | 1 | 0.0% | |
63 | 1 | 0.0% | |
643 | 1 | 0.0% | |
65 | 2 | 0.0% | |
66 | 1 | 0.0% | |
68 | 1 | 0.0% | |
69 | 1 | 0.0% | |
7 | 115 | 1.1% | |
70 | 2 | 0.0% | |
71 | 1 | 0.0% | |
74 | 2 | 0.0% | |
75 | 1 | 0.0% | |
78 | 1 | 0.0% | |
8 | 106 | 1.0% | |
83 | 1 | 0.0% | |
88 | 1 | 0.0% | |
9 | 67 | 0.6% | |
90 | 1 | 0.0% | |
91 | 1 | 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.