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
563158
- 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 (including unpaid &hired)
(M_UNPAID_H)
File: 24 Tripura
File: 24 Tripura
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 82200 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0 | 2756 | 3.4% | |
1 | 54355 | 66.1% | |
10 | 286 | 0.3% | |
100 | 4 | 0.0% | |
10000 | 2 | 0.0% | |
10001 | 1 | 0.0% | |
101 | 1 | 0.0% | |
102 | 1 | 0.0% | |
103 | 2 | 0.0% | |
104 | 1 | 0.0% | |
106 | 1 | 0.0% | |
107 | 2 | 0.0% | |
108 | 1 | 0.0% | |
109 | 1 | 0.0% | |
11 | 168 | 0.2% | |
110 | 2 | 0.0% | |
112 | 3 | 0.0% | |
117 | 1 | 0.0% | |
1182 | 1 | 0.0% | |
119 | 1 | 0.0% | |
12 | 165 | 0.2% | |
120 | 1 | 0.0% | |
121 | 1 | 0.0% | |
123 | 1 | 0.0% | |
125 | 1 | 0.0% | |
126 | 3 | 0.0% | |
127 | 1 | 0.0% | |
13 | 115 | 0.1% | |
131 | 1 | 0.0% | |
133 | 1 | 0.0% | |
134 | 1 | 0.0% | |
136 | 1 | 0.0% | |
14 | 80 | 0.1% | |
140 | 1 | 0.0% | |
146 | 1 | 0.0% | |
148 | 1 | 0.0% | |
15 | 124 | 0.2% | |
150 | 1 | 0.0% | |
151 | 1 | 0.0% | |
156 | 1 | 0.0% | |
16 | 84 | 0.1% | |
16002 | 1 | 0.0% | |
161 | 1 | 0.0% | |
163 | 1 | 0.0% | |
166 | 1 | 0.0% | |
17 | 61 | 0.1% | |
1700 | 1 | 0.0% | |
177 | 1 | 0.0% | |
179 | 1 | 0.0% | |
18 | 61 | 0.1% | |
183 | 1 | 0.0% | |
184 | 1 | 0.0% | |
186 | 1 | 0.0% | |
187 | 1 | 0.0% | |
19 | 44 | 0.1% | |
194 | 1 | 0.0% | |
2 | 13315 | 16.2% | |
20 | 64 | 0.1% | |
207 | 1 | 0.0% | |
208 | 1 | 0.0% | |
209 | 1 | 0.0% | |
21 | 43 | 0.1% | |
216 | 1 | 0.0% | |
218 | 1 | 0.0% | |
22 | 45 | 0.1% | |
221 | 1 | 0.0% | |
224 | 1 | 0.0% | |
225 | 1 | 0.0% | |
226 | 1 | 0.0% | |
23 | 41 | 0.0% | |
238 | 1 | 0.0% | |
239 | 1 | 0.0% | |
24 | 33 | 0.0% | |
25 | 35 | 0.0% | |
252 | 1 | 0.0% | |
26 | 39 | 0.0% | |
267 | 1 | 0.0% | |
27 | 27 | 0.0% | |
28 | 25 | 0.0% | |
29 | 16 | 0.0% | |
3 | 4620 | 5.6% | |
30 | 35 | 0.0% | |
308 | 1 | 0.0% | |
31 | 21 | 0.0% | |
32 | 19 | 0.0% | |
33 | 14 | 0.0% | |
34 | 27 | 0.0% | |
35 | 27 | 0.0% | |
36 | 17 | 0.0% | |
362 | 1 | 0.0% | |
37 | 15 | 0.0% | |
375 | 1 | 0.0% | |
38 | 8 | 0.0% | |
387 | 1 | 0.0% | |
39 | 9 | 0.0% | |
399 | 1 | 0.0% | |
4 | 2013 | 2.4% | |
40 | 12 | 0.0% | |
41 | 8 | 0.0% | |
42 | 7 | 0.0% | |
43 | 9 | 0.0% | |
44 | 3 | 0.0% | |
45 | 10 | 0.0% | |
46 | 10 | 0.0% | |
47 | 5 | 0.0% | |
48 | 6 | 0.0% | |
49 | 5 | 0.0% | |
5 | 1258 | 1.5% | |
50 | 7 | 0.0% | |
503 | 1 | 0.0% | |
51 | 3 | 0.0% | |
52 | 7 | 0.0% | |
53 | 7 | 0.0% | |
54 | 6 | 0.0% | |
55 | 2 | 0.0% | |
56 | 7 | 0.0% | |
566 | 1 | 0.0% | |
57 | 6 | 0.0% | |
58 | 5 | 0.0% | |
59 | 2 | 0.0% | |
6 | 703 | 0.9% | |
60 | 15 | 0.0% | |
61 | 5 | 0.0% | |
62 | 5 | 0.0% | |
63 | 6 | 0.0% | |
64 | 2 | 0.0% | |
65 | 6 | 0.0% | |
66 | 2 | 0.0% | |
669 | 1 | 0.0% | |
67 | 3 | 0.0% | |
68 | 6 | 0.0% | |
69 | 1 | 0.0% | |
7 | 501 | 0.6% | |
70 | 3 | 0.0% | |
71 | 4 | 0.0% | |
72 | 4 | 0.0% | |
73 | 3 | 0.0% | |
74 | 2 | 0.0% | |
75 | 6 | 0.0% | |
76 | 4 | 0.0% | |
77 | 1 | 0.0% | |
78 | 1 | 0.0% | |
79 | 3 | 0.0% | |
8 | 367 | 0.4% | |
80 | 3 | 0.0% | |
81 | 1 | 0.0% | |
82 | 3 | 0.0% | |
83 | 3 | 0.0% | |
84 | 3 | 0.0% | |
86 | 2 | 0.0% | |
87 | 1 | 0.0% | |
89 | 1 | 0.0% | |
9 | 247 | 0.3% | |
90 | 3 | 0.0% | |
91 | 1 | 0.0% | |
92 | 1 | 0.0% | |
93 | 1 | 0.0% | |
94 | 4 | 0.0% | |
95 | 1 | 0.0% | |
96 | 1 | 0.0% | |
98 | 1 | 0.0% | |
99 | 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.