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
546797
- 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
Total (males & females hired)
(TOTAL_M_F_H)
File: 33 Pondicherry
File: 33 Pondicherry
Overview
Type:
Discrete Format: character Width: 6 | Valid cases: 30498 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0 | 16279 | 53.4% | |
1 | 5514 | 18.1% | |
10 | 179 | 0.6% | |
100 | 9 | 0.0% | |
101 | 3 | 0.0% | |
102 | 1 | 0.0% | |
103 | 2 | 0.0% | |
104 | 1 | 0.0% | |
106 | 1 | 0.0% | |
107 | 1 | 0.0% | |
109 | 3 | 0.0% | |
11 | 88 | 0.3% | |
111 | 1 | 0.0% | |
112 | 2 | 0.0% | |
114 | 1 | 0.0% | |
115 | 1 | 0.0% | |
117 | 1 | 0.0% | |
12 | 109 | 0.4% | |
120 | 1 | 0.0% | |
122 | 2 | 0.0% | |
123 | 1 | 0.0% | |
124 | 1 | 0.0% | |
1245 | 1 | 0.0% | |
128 | 1 | 0.0% | |
129 | 1 | 0.0% | |
13 | 70 | 0.2% | |
131 | 1 | 0.0% | |
132 | 2 | 0.0% | |
133 | 2 | 0.0% | |
134 | 2 | 0.0% | |
135 | 1 | 0.0% | |
14 | 72 | 0.2% | |
144 | 1 | 0.0% | |
145 | 2 | 0.0% | |
146 | 2 | 0.0% | |
148 | 1 | 0.0% | |
15 | 100 | 0.3% | |
150 | 1 | 0.0% | |
159 | 2 | 0.0% | |
16 | 52 | 0.2% | |
160 | 1 | 0.0% | |
164 | 2 | 0.0% | |
17 | 36 | 0.1% | |
174 | 1 | 0.0% | |
18 | 48 | 0.2% | |
181 | 1 | 0.0% | |
182 | 1 | 0.0% | |
188 | 1 | 0.0% | |
19 | 32 | 0.1% | |
190 | 2 | 0.0% | |
191 | 1 | 0.0% | |
195 | 1 | 0.0% | |
197 | 1 | 0.0% | |
2 | 3405 | 11.2% | |
20 | 61 | 0.2% | |
206 | 1 | 0.0% | |
21 | 28 | 0.1% | |
210 | 1 | 0.0% | |
219 | 1 | 0.0% | |
22 | 40 | 0.1% | |
23 | 25 | 0.1% | |
24 | 24 | 0.1% | |
25 | 33 | 0.1% | |
26 | 25 | 0.1% | |
263 | 1 | 0.0% | |
267 | 1 | 0.0% | |
268 | 1 | 0.0% | |
27 | 28 | 0.1% | |
28 | 18 | 0.1% | |
289 | 2 | 0.0% | |
29 | 18 | 0.1% | |
3 | 1354 | 4.4% | |
30 | 26 | 0.1% | |
303 | 1 | 0.0% | |
308 | 1 | 0.0% | |
31 | 9 | 0.0% | |
32 | 18 | 0.1% | |
33 | 9 | 0.0% | |
332 | 1 | 0.0% | |
34 | 10 | 0.0% | |
35 | 8 | 0.0% | |
350 | 1 | 0.0% | |
36 | 10 | 0.0% | |
360 | 2 | 0.0% | |
364 | 1 | 0.0% | |
37 | 8 | 0.0% | |
38 | 12 | 0.0% | |
39 | 8 | 0.0% | |
4 | 773 | 2.5% | |
40 | 20 | 0.1% | |
406 | 1 | 0.0% | |
41 | 9 | 0.0% | |
42 | 10 | 0.0% | |
43 | 10 | 0.0% | |
44 | 9 | 0.0% | |
45 | 10 | 0.0% | |
4540 | 1 | 0.0% | |
46 | 8 | 0.0% | |
465 | 1 | 0.0% | |
47 | 4 | 0.0% | |
470 | 1 | 0.0% | |
48 | 5 | 0.0% | |
480 | 1 | 0.0% | |
49 | 6 | 0.0% | |
5 | 552 | 1.8% | |
50 | 7 | 0.0% | |
51 | 2 | 0.0% | |
52 | 5 | 0.0% | |
53 | 6 | 0.0% | |
54 | 5 | 0.0% | |
55 | 2 | 0.0% | |
56 | 5 | 0.0% | |
563 | 1 | 0.0% | |
57 | 5 | 0.0% | |
570 | 1 | 0.0% | |
58 | 4 | 0.0% | |
59 | 6 | 0.0% | |
6 | 410 | 1.3% | |
60 | 9 | 0.0% | |
61 | 1 | 0.0% | |
62 | 3 | 0.0% | |
63 | 5 | 0.0% | |
64 | 6 | 0.0% | |
65 | 5 | 0.0% | |
650 | 1 | 0.0% | |
652 | 1 | 0.0% | |
66 | 3 | 0.0% | |
67 | 2 | 0.0% | |
68 | 3 | 0.0% | |
69 | 3 | 0.0% | |
7 | 272 | 0.9% | |
70 | 1 | 0.0% | |
71 | 1 | 0.0% | |
710 | 1 | 0.0% | |
72 | 2 | 0.0% | |
73 | 2 | 0.0% | |
75 | 5 | 0.0% | |
76 | 2 | 0.0% | |
78 | 2 | 0.0% | |
79 | 2 | 0.0% | |
8 | 234 | 0.8% | |
80 | 3 | 0.0% | |
81 | 2 | 0.0% | |
83 | 1 | 0.0% | |
84 | 1 | 0.0% | |
85 | 1 | 0.0% | |
859 | 1 | 0.0% | |
86 | 2 | 0.0% | |
87 | 2 | 0.0% | |
88 | 3 | 0.0% | |
889 | 1 | 0.0% | |
89 | 2 | 0.0% | |
9 | 188 | 0.6% | |
90 | 1 | 0.0% | |
91 | 2 | 0.0% | |
92 | 2 | 0.0% | |
95 | 1 | 0.0% | |
96 | 1 | 0.0% | |
97 | 1 | 0.0% | |
98 | 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.