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
559878
- 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: 18 Nagaland
File: 18 Nagaland
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 23771 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0 | 1204 | 5.1% | |
1 | 9949 | 41.9% | |
10 | 202 | 0.8% | |
100 | 2 | 0.0% | |
104 | 1 | 0.0% | |
105 | 1 | 0.0% | |
106 | 1 | 0.0% | |
1067 | 1 | 0.0% | |
107 | 1 | 0.0% | |
11 | 87 | 0.4% | |
112 | 1 | 0.0% | |
113 | 1 | 0.0% | |
115 | 1 | 0.0% | |
116 | 1 | 0.0% | |
118 | 1 | 0.0% | |
12 | 123 | 0.5% | |
120 | 1 | 0.0% | |
125 | 1 | 0.0% | |
126 | 1 | 0.0% | |
128 | 1 | 0.0% | |
129 | 1 | 0.0% | |
13 | 72 | 0.3% | |
132 | 2 | 0.0% | |
133 | 1 | 0.0% | |
134 | 1 | 0.0% | |
137 | 1 | 0.0% | |
14 | 72 | 0.3% | |
149 | 2 | 0.0% | |
15 | 87 | 0.4% | |
150 | 3 | 0.0% | |
152 | 1 | 0.0% | |
153 | 1 | 0.0% | |
157 | 1 | 0.0% | |
16 | 50 | 0.2% | |
164 | 1 | 0.0% | |
165 | 1 | 0.0% | |
17 | 40 | 0.2% | |
18 | 50 | 0.2% | |
181 | 1 | 0.0% | |
19 | 29 | 0.1% | |
195 | 1 | 0.0% | |
2 | 5357 | 22.5% | |
20 | 56 | 0.2% | |
200 | 2 | 0.0% | |
206 | 1 | 0.0% | |
209 | 1 | 0.0% | |
21 | 14 | 0.1% | |
211 | 1 | 0.0% | |
214 | 2 | 0.0% | |
215 | 1 | 0.0% | |
22 | 31 | 0.1% | |
23 | 16 | 0.1% | |
24 | 14 | 0.1% | |
25 | 36 | 0.2% | |
26 | 15 | 0.1% | |
27 | 12 | 0.1% | |
272 | 1 | 0.0% | |
28 | 8 | 0.0% | |
29 | 9 | 0.0% | |
3 | 2552 | 10.7% | |
30 | 27 | 0.1% | |
300 | 1 | 0.0% | |
31 | 6 | 0.0% | |
315 | 1 | 0.0% | |
32 | 6 | 0.0% | |
33 | 8 | 0.0% | |
34 | 9 | 0.0% | |
35 | 7 | 0.0% | |
36 | 7 | 0.0% | |
37 | 7 | 0.0% | |
38 | 5 | 0.0% | |
39 | 4 | 0.0% | |
4 | 1357 | 5.7% | |
40 | 11 | 0.0% | |
400 | 1 | 0.0% | |
41 | 4 | 0.0% | |
42 | 6 | 0.0% | |
43 | 5 | 0.0% | |
438 | 1 | 0.0% | |
44 | 1 | 0.0% | |
45 | 4 | 0.0% | |
46 | 3 | 0.0% | |
47 | 4 | 0.0% | |
48 | 4 | 0.0% | |
49 | 1 | 0.0% | |
490 | 1 | 0.0% | |
5 | 881 | 3.7% | |
50 | 11 | 0.0% | |
500 | 1 | 0.0% | |
51 | 3 | 0.0% | |
52 | 3 | 0.0% | |
53 | 2 | 0.0% | |
56 | 4 | 0.0% | |
57 | 2 | 0.0% | |
58 | 1 | 0.0% | |
59 | 2 | 0.0% | |
6 | 495 | 2.1% | |
60 | 6 | 0.0% | |
63 | 2 | 0.0% | |
64 | 3 | 0.0% | |
66 | 1 | 0.0% | |
68 | 2 | 0.0% | |
7 | 288 | 1.2% | |
70 | 2 | 0.0% | |
71 | 4 | 0.0% | |
72 | 1 | 0.0% | |
73 | 2 | 0.0% | |
74 | 1 | 0.0% | |
75 | 2 | 0.0% | |
76 | 1 | 0.0% | |
78 | 2 | 0.0% | |
79 | 1 | 0.0% | |
8 | 269 | 1.1% | |
80 | 2 | 0.0% | |
87 | 1 | 0.0% | |
88 | 1 | 0.0% | |
89 | 1 | 0.0% | |
9 | 150 | 0.6% | |
90 | 1 | 0.0% | |
93 | 2 | 0.0% | |
96 | 1 | 0.0% | |
97 | 1 | 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.