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
547118
- 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: 16 Meghalaya
File: 16 Meghalaya
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 49971 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0 | 8615 | 17.2% | |
1 | 20297 | 40.6% | |
10 | 289 | 0.6% | |
100 | 2 | 0.0% | |
101 | 2 | 0.0% | |
102 | 1 | 0.0% | |
103 | 1 | 0.0% | |
11 | 159 | 0.3% | |
110 | 1 | 0.0% | |
113 | 1 | 0.0% | |
114 | 2 | 0.0% | |
115 | 1 | 0.0% | |
117 | 1 | 0.0% | |
118 | 1 | 0.0% | |
12 | 125 | 0.3% | |
122 | 1 | 0.0% | |
123 | 3 | 0.0% | |
127 | 1 | 0.0% | |
129 | 1 | 0.0% | |
13 | 95 | 0.2% | |
130 | 1 | 0.0% | |
132 | 3 | 0.0% | |
133 | 2 | 0.0% | |
14 | 72 | 0.1% | |
140 | 2 | 0.0% | |
147 | 1 | 0.0% | |
15 | 124 | 0.2% | |
153 | 1 | 0.0% | |
16 | 78 | 0.2% | |
17 | 35 | 0.1% | |
170 | 1 | 0.0% | |
178 | 1 | 0.0% | |
18 | 51 | 0.1% | |
182 | 1 | 0.0% | |
19 | 40 | 0.1% | |
198 | 1 | 0.0% | |
2 | 9840 | 19.7% | |
20 | 67 | 0.1% | |
200 | 1 | 0.0% | |
201 | 1 | 0.0% | |
204 | 1 | 0.0% | |
21 | 52 | 0.1% | |
210 | 1 | 0.0% | |
219 | 1 | 0.0% | |
22 | 17 | 0.0% | |
23 | 25 | 0.1% | |
231 | 1 | 0.0% | |
24 | 27 | 0.1% | |
2433 | 1 | 0.0% | |
25 | 32 | 0.1% | |
26 | 12 | 0.0% | |
27 | 13 | 0.0% | |
28 | 14 | 0.0% | |
29 | 11 | 0.0% | |
291 | 1 | 0.0% | |
3 | 4273 | 8.6% | |
30 | 24 | 0.0% | |
300 | 1 | 0.0% | |
302 | 1 | 0.0% | |
31 | 17 | 0.0% | |
311 | 1 | 0.0% | |
32 | 7 | 0.0% | |
33 | 3 | 0.0% | |
335 | 1 | 0.0% | |
34 | 10 | 0.0% | |
344 | 1 | 0.0% | |
35 | 11 | 0.0% | |
36 | 12 | 0.0% | |
37 | 7 | 0.0% | |
375 | 1 | 0.0% | |
376 | 1 | 0.0% | |
38 | 7 | 0.0% | |
39 | 7 | 0.0% | |
4 | 2064 | 4.1% | |
40 | 14 | 0.0% | |
400 | 1 | 0.0% | |
41 | 9 | 0.0% | |
42 | 3 | 0.0% | |
43 | 6 | 0.0% | |
44 | 2 | 0.0% | |
45 | 5 | 0.0% | |
46 | 5 | 0.0% | |
47 | 4 | 0.0% | |
48 | 6 | 0.0% | |
49 | 1 | 0.0% | |
5 | 1267 | 2.5% | |
50 | 7 | 0.0% | |
51 | 6 | 0.0% | |
517 | 1 | 0.0% | |
52 | 1 | 0.0% | |
53 | 5 | 0.0% | |
54 | 3 | 0.0% | |
55 | 3 | 0.0% | |
56 | 1 | 0.0% | |
58 | 3 | 0.0% | |
580 | 1 | 0.0% | |
59 | 1 | 0.0% | |
6 | 838 | 1.7% | |
60 | 4 | 0.0% | |
61 | 3 | 0.0% | |
62 | 1 | 0.0% | |
63 | 1 | 0.0% | |
64 | 3 | 0.0% | |
640 | 1 | 0.0% | |
647 | 1 | 0.0% | |
65 | 1 | 0.0% | |
66 | 3 | 0.0% | |
68 | 1 | 0.0% | |
688 | 1 | 0.0% | |
69 | 1 | 0.0% | |
7 | 455 | 0.9% | |
70 | 3 | 0.0% | |
72 | 2 | 0.0% | |
73 | 1 | 0.0% | |
74 | 1 | 0.0% | |
75 | 3 | 0.0% | |
76 | 2 | 0.0% | |
77 | 1 | 0.0% | |
79 | 2 | 0.0% | |
8 | 411 | 0.8% | |
80 | 3 | 0.0% | |
81 | 1 | 0.0% | |
832 | 1 | 0.0% | |
838 | 1 | 0.0% | |
84 | 1 | 0.0% | |
85 | 1 | 0.0% | |
9 | 280 | 0.6% | |
90 | 1 | 0.0% | |
92 | 4 | 0.0% | |
95 | 1 | 0.0% | |
951 | 1 | 0.0% | |
98 | 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.