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
552930
- 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/Town
(V_T)
File: 22 Sikkim
File: 22 Sikkim
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 10686 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
1 | 2477 | 23.2% | |
10 | 201 | 1.9% | |
11 | 106 | 1.0% | |
12 | 66 | 0.6% | |
13 | 91 | 0.9% | |
14 | 66 | 0.6% | |
15 | 128 | 1.2% | |
16 | 99 | 0.9% | |
17 | 61 | 0.6% | |
18 | 250 | 2.3% | |
19 | 120 | 1.1% | |
2 | 857 | 8.0% | |
20 | 112 | 1.0% | |
21 | 114 | 1.1% | |
22 | 37 | 0.3% | |
23 | 67 | 0.6% | |
24 | 158 | 1.5% | |
25 | 241 | 2.3% | |
26 | 81 | 0.8% | |
27 | 318 | 3.0% | |
28 | 82 | 0.8% | |
29 | 62 | 0.6% | |
3 | 435 | 4.1% | |
30 | 165 | 1.5% | |
31 | 222 | 2.1% | |
32 | 225 | 2.1% | |
33 | 96 | 0.9% | |
34 | 69 | 0.6% | |
35 | 103 | 1.0% | |
36 | 95 | 0.9% | |
37 | 93 | 0.9% | |
38 | 48 | 0.4% | |
39 | 69 | 0.6% | |
4 | 150 | 1.4% | |
40 | 116 | 1.1% | |
41 | 22 | 0.2% | |
42 | 26 | 0.2% | |
43 | 85 | 0.8% | |
44 | 39 | 0.4% | |
45 | 47 | 0.4% | |
46 | 40 | 0.4% | |
47 | 47 | 0.4% | |
48 | 129 | 1.2% | |
49 | 41 | 0.4% | |
5 | 117 | 1.1% | |
50 | 46 | 0.4% | |
51 | 31 | 0.3% | |
52 | 231 | 2.2% | |
53 | 32 | 0.3% | |
54 | 77 | 0.7% | |
55 | 43 | 0.4% | |
56 | 16 | 0.1% | |
57 | 19 | 0.2% | |
58 | 49 | 0.5% | |
59 | 267 | 2.5% | |
6 | 77 | 0.7% | |
60 | 104 | 1.0% | |
61 | 2 | 0.0% | |
62 | 68 | 0.6% | |
63 | 43 | 0.4% | |
64 | 4 | 0.0% | |
65 | 119 | 1.1% | |
66 | 70 | 0.7% | |
67 | 6 | 0.1% | |
68 | 67 | 0.6% | |
69 | 5 | 0.0% | |
7 | 109 | 1.0% | |
70 | 52 | 0.5% | |
71 | 33 | 0.3% | |
72 | 13 | 0.1% | |
73 | 10 | 0.1% | |
74 | 104 | 1.0% | |
75 | 142 | 1.3% | |
76 | 13 | 0.1% | |
77 | 62 | 0.6% | |
78 | 11 | 0.1% | |
79 | 7 | 0.1% | |
8 | 110 | 1.0% | |
80 | 12 | 0.1% | |
81 | 151 | 1.4% | |
82 | 5 | 0.0% | |
83 | 9 | 0.1% | |
84 | 28 | 0.3% | |
85 | 5 | 0.0% | |
86 | 6 | 0.1% | |
87 | 16 | 0.1% | |
88 | 4 | 0.0% | |
89 | 1 | 0.0% | |
9 | 77 | 0.7% | |
90 | 34 | 0.3% | |
91 | 17 | 0.2% | |
92 | 1 | 0.0% | |
93 | 1 | 0.0% | |
95 | 2 | 0.0% | |
97 | 2 | 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.