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
592648
- 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
village/ward code
(VILL_WARD_CODE)
File: 22 Sikkim
File: 22 Sikkim
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 10686 Invalid: 0 |
Categories
Value | Category | Cases | |
---|---|---|---|
0 | 279 | ![]() | |
1 | 1232 | ![]() | |
10 | 233 | ![]() | |
11 | 106 | ![]() | |
12 | 66 | ![]() | |
13 | 91 | ![]() | |
14 | 66 | ![]() | |
15 | 128 | ![]() | |
16 | 99 | ![]() | |
17 | 61 | ![]() | |
18 | 250 | ![]() | |
19 | 120 | ![]() | |
2 | 469 | ![]() | |
20 | 112 | ![]() | |
21 | 114 | ![]() | |
22 | 33 | ![]() | |
23 | 67 | ![]() | |
24 | 158 | ![]() | |
25 | 241 | ![]() | |
26 | 81 | ![]() | |
27 | 318 | ![]() | |
28 | 82 | ![]() | |
29 | 62 | ![]() | |
3 | 402 | ![]() | |
30 | 165 | ![]() | |
31 | 222 | ![]() | |
32 | 225 | ![]() | |
33 | 96 | ![]() | |
34 | 69 | ![]() | |
35 | 103 | ![]() | |
36 | 95 | ![]() | |
37 | 93 | ![]() | |
38 | 48 | ![]() | |
39 | 69 | ![]() | |
4 | 708 | ![]() | |
40 | 116 | ![]() | |
41 | 22 | ![]() | |
42 | 26 | ![]() | |
43 | 85 | ![]() | |
44 | 39 | ![]() | |
45 | 47 | ![]() | |
46 | 40 | ![]() | |
47 | 47 | ![]() | |
48 | 129 | ![]() | |
49 | 41 | ![]() | |
5 | 487 | ![]() | |
50 | 46 | ![]() | |
51 | 31 | ![]() | |
52 | 231 | ![]() | |
53 | 32 | ![]() | |
54 | 77 | ![]() | |
55 | 43 | ![]() | |
56 | 16 | ![]() | |
57 | 19 | ![]() | |
58 | 49 | ![]() | |
59 | 267 | ![]() | |
6 | 287 | ![]() | |
60 | 104 | ![]() | |
61 | 2 | ![]() | |
62 | 68 | ![]() | |
63 | 43 | ![]() | |
64 | 4 | ![]() | |
65 | 119 | ![]() | |
66 | 70 | ![]() | |
67 | 6 | ![]() | |
68 | 67 | ![]() | |
69 | 5 | ![]() | |
7 | 210 | ![]() | |
70 | 52 | ![]() | |
71 | 33 | ![]() | |
72 | 13 | ![]() | |
73 | 10 | ![]() | |
74 | 104 | ![]() | |
75 | 142 | ![]() | |
76 | 13 | ![]() | |
77 | 62 | ![]() | |
78 | 11 | ![]() | |
79 | 7 | ![]() | |
8 | 178 | ![]() | |
80 | 12 | ![]() | |
81 | 151 | ![]() | |
82 | 5 | ![]() | |
83 | 9 | ![]() | |
84 | 28 | ![]() | |
85 | 5 | ![]() | |
86 | 6 | ![]() | |
87 | 16 | ![]() | |
88 | 4 | ![]() | |
89 | 1 | ![]() | |
9 | 163 | ![]() | |
91 | 17 | ![]() | |
92 | 1 | ![]() | |
93 | 1 | ![]() | |
95 | 2 | ![]() | |
97 | 2 | ![]() |
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.