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
601973
- 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: 33 Pondicherry
File: 33 Pondicherry
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 30498 Invalid: 0 |
Categories
Value | Category | Cases | |
---|---|---|---|
0 | 17447 | ![]() | |
1 | 5756 | ![]() | |
10 | 159 | ![]() | |
100 | 8 | ![]() | |
101 | 2 | ![]() | |
102 | 1 | ![]() | |
103 | 2 | ![]() | |
105 | 1 | ![]() | |
106 | 1 | ![]() | |
107 | 2 | ![]() | |
11 | 73 | ![]() | |
114 | 1 | ![]() | |
116 | 2 | ![]() | |
117 | 1 | ![]() | |
118 | 1 | ![]() | |
1181 | 1 | ![]() | |
119 | 1 | ![]() | |
12 | 77 | ![]() | |
121 | 1 | ![]() | |
122 | 1 | ![]() | |
123 | 1 | ![]() | |
13 | 60 | ![]() | |
131 | 2 | ![]() | |
133 | 1 | ![]() | |
137 | 1 | ![]() | |
14 | 54 | ![]() | |
143 | 1 | ![]() | |
144 | 1 | ![]() | |
146 | 1 | ![]() | |
15 | 81 | ![]() | |
150 | 1 | ![]() | |
151 | 1 | ![]() | |
154 | 1 | ![]() | |
159 | 1 | ![]() | |
16 | 37 | ![]() | |
160 | 3 | ![]() | |
165 | 1 | ![]() | |
17 | 29 | ![]() | |
174 | 1 | ![]() | |
176 | 1 | ![]() | |
18 | 33 | ![]() | |
19 | 22 | ![]() | |
2 | 2696 | ![]() | |
20 | 41 | ![]() | |
209 | 1 | ![]() | |
21 | 17 | ![]() | |
219 | 1 | ![]() | |
22 | 19 | ![]() | |
225 | 1 | ![]() | |
23 | 26 | ![]() | |
238 | 1 | ![]() | |
24 | 18 | ![]() | |
25 | 24 | ![]() | |
26 | 13 | ![]() | |
267 | 2 | ![]() | |
268 | 1 | ![]() | |
27 | 13 | ![]() | |
28 | 8 | ![]() | |
289 | 2 | ![]() | |
29 | 13 | ![]() | |
3 | 1261 | ![]() | |
30 | 21 | ![]() | |
300 | 1 | ![]() | |
306 | 1 | ![]() | |
31 | 9 | ![]() | |
32 | 9 | ![]() | |
33 | 8 | ![]() | |
336 | 1 | ![]() | |
34 | 4 | ![]() | |
35 | 12 | ![]() | |
36 | 7 | ![]() | |
37 | 2 | ![]() | |
38 | 7 | ![]() | |
39 | 3 | ![]() | |
4 | 763 | ![]() | |
40 | 15 | ![]() | |
403 | 1 | ![]() | |
407 | 1 | ![]() | |
41 | 5 | ![]() | |
42 | 3 | ![]() | |
43 | 8 | ![]() | |
44 | 1 | ![]() | |
4495 | 1 | ![]() | |
45 | 4 | ![]() | |
46 | 10 | ![]() | |
47 | 5 | ![]() | |
470 | 1 | ![]() | |
48 | 6 | ![]() | |
480 | 1 | ![]() | |
486 | 1 | ![]() | |
49 | 2 | ![]() | |
5 | 529 | ![]() | |
50 | 8 | ![]() | |
51 | 3 | ![]() | |
52 | 5 | ![]() | |
53 | 3 | ![]() | |
54 | 4 | ![]() | |
55 | 2 | ![]() | |
554 | 1 | ![]() | |
56 | 4 | ![]() | |
57 | 5 | ![]() | |
58 | 1 | ![]() | |
59 | 3 | ![]() | |
6 | 357 | ![]() | |
60 | 5 | ![]() | |
61 | 1 | ![]() | |
62 | 2 | ![]() | |
63 | 1 | ![]() | |
64 | 1 | ![]() | |
65 | 4 | ![]() | |
650 | 1 | ![]() | |
652 | 1 | ![]() | |
66 | 1 | ![]() | |
67 | 1 | ![]() | |
68 | 1 | ![]() | |
69 | 1 | ![]() | |
7 | 244 | ![]() | |
70 | 3 | ![]() | |
709 | 1 | ![]() | |
71 | 2 | ![]() | |
719 | 1 | ![]() | |
72 | 2 | ![]() | |
73 | 2 | ![]() | |
76 | 4 | ![]() | |
77 | 3 | ![]() | |
79 | 1 | ![]() | |
8 | 178 | ![]() | |
80 | 1 | ![]() | |
83 | 1 | ![]() | |
85 | 1 | ![]() | |
86 | 3 | ![]() | |
87 | 1 | ![]() | |
9 | 148 | ![]() | |
90 | 3 | ![]() | |
91 | 2 | ![]() | |
92 | 1 | ![]() | |
93 | 1 | ![]() | |
94 | 1 | ![]() | |
95 | 1 | ![]() | |
97 | 2 | ![]() | |
98 | 2 | ![]() | |
99 | 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.