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
592440
- 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: 15 Manipur
File: 15 Manipur
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 61656 Invalid: 0 |
Categories
Value | Category | Cases | |
---|---|---|---|
0 | 18278 | ![]() | |
1 | 25993 | ![]() | |
10 | 235 | ![]() | |
100 | 4 | ![]() | |
103 | 1 | ![]() | |
105 | 1 | ![]() | |
107 | 2 | ![]() | |
11 | 103 | ![]() | |
112 | 1 | ![]() | |
115 | 1 | ![]() | |
119 | 1 | ![]() | |
12 | 90 | ![]() | |
124 | 2 | ![]() | |
128 | 1 | ![]() | |
129 | 1 | ![]() | |
13 | 53 | ![]() | |
130 | 2 | ![]() | |
131 | 1 | ![]() | |
132 | 1 | ![]() | |
134 | 1 | ![]() | |
137 | 1 | ![]() | |
14 | 46 | ![]() | |
142 | 1 | ![]() | |
144 | 1 | ![]() | |
147 | 1 | ![]() | |
15 | 61 | ![]() | |
153 | 1 | ![]() | |
16 | 40 | ![]() | |
164 | 1 | ![]() | |
167 | 1 | ![]() | |
169 | 1 | ![]() | |
17 | 21 | ![]() | |
172 | 1 | ![]() | |
18 | 28 | ![]() | |
181 | 1 | ![]() | |
19 | 17 | ![]() | |
193 | 1 | ![]() | |
2 | 8480 | ![]() | |
20 | 32 | ![]() | |
21 | 23 | ![]() | |
22 | 8 | ![]() | |
220 | 1 | ![]() | |
23 | 10 | ![]() | |
24 | 14 | ![]() | |
25 | 8 | ![]() | |
254 | 1 | ![]() | |
26 | 19 | ![]() | |
27 | 11 | ![]() | |
28 | 8 | ![]() | |
29 | 9 | ![]() | |
292 | 1 | ![]() | |
3 | 3535 | ![]() | |
30 | 13 | ![]() | |
300 | 2 | ![]() | |
31 | 6 | ![]() | |
32 | 9 | ![]() | |
326 | 1 | ![]() | |
33 | 3 | ![]() | |
34 | 10 | ![]() | |
35 | 5 | ![]() | |
36 | 5 | ![]() | |
37 | 3 | ![]() | |
38 | 1 | ![]() | |
39 | 3 | ![]() | |
393 | 1 | ![]() | |
4 | 1975 | ![]() | |
40 | 5 | ![]() | |
403 | 1 | ![]() | |
41 | 4 | ![]() | |
42 | 2 | ![]() | |
43 | 4 | ![]() | |
44 | 1 | ![]() | |
45 | 4 | ![]() | |
46 | 2 | ![]() | |
47 | 2 | ![]() | |
49 | 2 | ![]() | |
5 | 1044 | ![]() | |
50 | 6 | ![]() | |
51 | 3 | ![]() | |
52 | 6 | ![]() | |
54 | 1 | ![]() | |
55 | 1 | ![]() | |
56 | 4 | ![]() | |
58 | 1 | ![]() | |
59 | 1 | ![]() | |
6 | 572 | ![]() | |
60 | 5 | ![]() | |
61 | 1 | ![]() | |
611 | 1 | ![]() | |
62 | 4 | ![]() | |
63 | 4 | ![]() | |
64 | 3 | ![]() | |
65 | 3 | ![]() | |
66 | 2 | ![]() | |
67 | 1 | ![]() | |
7 | 347 | ![]() | |
70 | 2 | ![]() | |
71 | 1 | ![]() | |
72 | 1 | ![]() | |
73 | 2 | ![]() | |
76 | 1 | ![]() | |
79 | 2 | ![]() | |
8 | 260 | ![]() | |
83 | 1 | ![]() | |
84 | 2 | ![]() | |
86 | 1 | ![]() | |
87 | 1 | ![]() | |
88 | 1 | ![]() | |
9 | 138 | ![]() | |
90 | 5 | ![]() | |
909 | 1 | ![]() | |
91 | 1 | ![]() | |
93 | 1 | ![]() | |
94 | 2 | ![]() | |
97 | 1 | ![]() | |
98 | 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.