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
546429
- 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 and females
(TOTAL_M_F)
File: 16 Meghalaya
File: 16 Meghalaya
Overview
Type:
Discrete Format: character Width: 6 | Valid cases: 49971 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
1 | 20808 | 41.6% | |
10 | 361 | 0.7% | |
101 | 4 | 0.0% | |
102 | 1 | 0.0% | |
1021 | 1 | 0.0% | |
103 | 2 | 0.0% | |
1038 | 1 | 0.0% | |
106 | 1 | 0.0% | |
107 | 2 | 0.0% | |
108 | 1 | 0.0% | |
109 | 1 | 0.0% | |
11 | 216 | 0.4% | |
114 | 1 | 0.0% | |
117 | 3 | 0.0% | |
12 | 166 | 0.3% | |
122 | 1 | 0.0% | |
125 | 1 | 0.0% | |
127 | 2 | 0.0% | |
129 | 2 | 0.0% | |
13 | 124 | 0.2% | |
130 | 1 | 0.0% | |
132 | 1 | 0.0% | |
133 | 2 | 0.0% | |
135 | 4 | 0.0% | |
14 | 105 | 0.2% | |
140 | 1 | 0.0% | |
149 | 1 | 0.0% | |
15 | 157 | 0.3% | |
153 | 1 | 0.0% | |
157 | 1 | 0.0% | |
16 | 94 | 0.2% | |
160 | 1 | 0.0% | |
162 | 2 | 0.0% | |
164 | 1 | 0.0% | |
166 | 1 | 0.0% | |
17 | 55 | 0.1% | |
175 | 1 | 0.0% | |
178 | 2 | 0.0% | |
18 | 53 | 0.1% | |
180 | 1 | 0.0% | |
19 | 49 | 0.1% | |
190 | 1 | 0.0% | |
197 | 1 | 0.0% | |
2 | 13793 | 27.6% | |
20 | 67 | 0.1% | |
200 | 1 | 0.0% | |
201 | 1 | 0.0% | |
207 | 1 | 0.0% | |
21 | 68 | 0.1% | |
22 | 37 | 0.1% | |
223 | 1 | 0.0% | |
227 | 1 | 0.0% | |
23 | 22 | 0.0% | |
239 | 1 | 0.0% | |
24 | 25 | 0.1% | |
2457 | 1 | 0.0% | |
25 | 48 | 0.1% | |
256 | 1 | 0.0% | |
26 | 31 | 0.1% | |
27 | 29 | 0.1% | |
276 | 1 | 0.0% | |
28 | 24 | 0.0% | |
29 | 17 | 0.0% | |
3 | 6170 | 12.3% | |
30 | 36 | 0.1% | |
300 | 1 | 0.0% | |
304 | 1 | 0.0% | |
31 | 22 | 0.0% | |
32 | 12 | 0.0% | |
33 | 12 | 0.0% | |
334 | 1 | 0.0% | |
34 | 12 | 0.0% | |
35 | 19 | 0.0% | |
36 | 10 | 0.0% | |
361 | 1 | 0.0% | |
37 | 8 | 0.0% | |
372 | 1 | 0.0% | |
38 | 11 | 0.0% | |
39 | 7 | 0.0% | |
4 | 2877 | 5.8% | |
40 | 15 | 0.0% | |
400 | 1 | 0.0% | |
41 | 11 | 0.0% | |
410 | 1 | 0.0% | |
414 | 1 | 0.0% | |
42 | 10 | 0.0% | |
43 | 7 | 0.0% | |
437 | 1 | 0.0% | |
44 | 3 | 0.0% | |
45 | 11 | 0.0% | |
450 | 1 | 0.0% | |
46 | 6 | 0.0% | |
466 | 1 | 0.0% | |
469 | 1 | 0.0% | |
47 | 3 | 0.0% | |
48 | 5 | 0.0% | |
49 | 4 | 0.0% | |
5 | 1644 | 3.3% | |
50 | 11 | 0.0% | |
51 | 8 | 0.0% | |
52 | 4 | 0.0% | |
527 | 1 | 0.0% | |
53 | 4 | 0.0% | |
532 | 1 | 0.0% | |
54 | 2 | 0.0% | |
545 | 1 | 0.0% | |
55 | 6 | 0.0% | |
56 | 7 | 0.0% | |
57 | 7 | 0.0% | |
58 | 4 | 0.0% | |
589 | 1 | 0.0% | |
59 | 4 | 0.0% | |
6 | 1016 | 2.0% | |
60 | 6 | 0.0% | |
61 | 3 | 0.0% | |
63 | 2 | 0.0% | |
64 | 1 | 0.0% | |
65 | 4 | 0.0% | |
66 | 4 | 0.0% | |
664 | 1 | 0.0% | |
67 | 2 | 0.0% | |
68 | 2 | 0.0% | |
69 | 1 | 0.0% | |
7 | 615 | 1.2% | |
70 | 4 | 0.0% | |
71 | 3 | 0.0% | |
72 | 3 | 0.0% | |
726 | 1 | 0.0% | |
74 | 1 | 0.0% | |
75 | 1 | 0.0% | |
76 | 1 | 0.0% | |
77 | 2 | 0.0% | |
78 | 2 | 0.0% | |
79 | 2 | 0.0% | |
8 | 533 | 1.1% | |
80 | 4 | 0.0% | |
81 | 1 | 0.0% | |
82 | 1 | 0.0% | |
83 | 1 | 0.0% | |
84 | 1 | 0.0% | |
85 | 3 | 0.0% | |
87 | 2 | 0.0% | |
88 | 2 | 0.0% | |
89 | 1 | 0.0% | |
897 | 1 | 0.0% | |
9 | 339 | 0.7% | |
90 | 2 | 0.0% | |
91 | 3 | 0.0% | |
92 | 1 | 0.0% | |
94 | 1 | 0.0% | |
95 | 1 | 0.0% | |
96 | 2 | 0.0% | |
99 | 1 | 0.0% | |
997 | 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.