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
592681
- 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: 18 Nagaland
File: 18 Nagaland
Overview
Type:
Discrete Format: character Width: 6 | Valid cases: 23771 Invalid: 0 |
Categories
Value | Category | Cases | |
---|---|---|---|
1 | 8524 | ![]() | |
10 | 233 | ![]() | |
100 | 1 | ![]() | |
104 | 2 | ![]() | |
105 | 1 | ![]() | |
106 | 1 | ![]() | |
107 | 1 | ![]() | |
1073 | 1 | ![]() | |
108 | 1 | ![]() | |
109 | 1 | ![]() | |
11 | 119 | ![]() | |
110 | 1 | ![]() | |
111 | 1 | ![]() | |
112 | 1 | ![]() | |
113 | 2 | ![]() | |
117 | 1 | ![]() | |
12 | 137 | ![]() | |
120 | 1 | ![]() | |
124 | 1 | ![]() | |
125 | 1 | ![]() | |
127 | 1 | ![]() | |
129 | 1 | ![]() | |
13 | 104 | ![]() | |
132 | 1 | ![]() | |
133 | 1 | ![]() | |
135 | 1 | ![]() | |
136 | 1 | ![]() | |
137 | 1 | ![]() | |
14 | 100 | ![]() | |
141 | 1 | ![]() | |
145 | 1 | ![]() | |
149 | 2 | ![]() | |
15 | 117 | ![]() | |
150 | 2 | ![]() | |
16 | 53 | ![]() | |
163 | 1 | ![]() | |
17 | 69 | ![]() | |
176 | 1 | ![]() | |
178 | 1 | ![]() | |
18 | 54 | ![]() | |
180 | 1 | ![]() | |
19 | 43 | ![]() | |
196 | 1 | ![]() | |
2 | 6416 | ![]() | |
20 | 69 | ![]() | |
200 | 3 | ![]() | |
209 | 2 | ![]() | |
21 | 28 | ![]() | |
22 | 37 | ![]() | |
225 | 1 | ![]() | |
228 | 1 | ![]() | |
23 | 16 | ![]() | |
233 | 1 | ![]() | |
236 | 1 | ![]() | |
24 | 21 | ![]() | |
25 | 48 | ![]() | |
250 | 1 | ![]() | |
252 | 1 | ![]() | |
255 | 1 | ![]() | |
256 | 1 | ![]() | |
26 | 14 | ![]() | |
27 | 17 | ![]() | |
28 | 14 | ![]() | |
29 | 18 | ![]() | |
290 | 1 | ![]() | |
3 | 2751 | ![]() | |
30 | 27 | ![]() | |
30019 | 1 | ![]() | |
31 | 8 | ![]() | |
32 | 15 | ![]() | |
33 | 8 | ![]() | |
330 | 1 | ![]() | |
339 | 1 | ![]() | |
34 | 5 | ![]() | |
35 | 16 | ![]() | |
36 | 9 | ![]() | |
37 | 4 | ![]() | |
38 | 6 | ![]() | |
39 | 6 | ![]() | |
4 | 1632 | ![]() | |
40 | 18 | ![]() | |
400 | 2 | ![]() | |
41 | 8 | ![]() | |
414 | 1 | ![]() | |
42 | 4 | ![]() | |
421 | 1 | ![]() | |
43 | 11 | ![]() | |
44 | 4 | ![]() | |
45 | 13 | ![]() | |
46 | 2 | ![]() | |
47 | 4 | ![]() | |
470 | 1 | ![]() | |
48 | 2 | ![]() | |
49 | 7 | ![]() | |
494 | 1 | ![]() | |
5 | 1120 | ![]() | |
50 | 12 | ![]() | |
500 | 1 | ![]() | |
51 | 2 | ![]() | |
52 | 2 | ![]() | |
53 | 2 | ![]() | |
54 | 5 | ![]() | |
55 | 6 | ![]() | |
56 | 3 | ![]() | |
57 | 6 | ![]() | |
58 | 5 | ![]() | |
59 | 1 | ![]() | |
6 | 713 | ![]() | |
60 | 8 | ![]() | |
61 | 1 | ![]() | |
62 | 2 | ![]() | |
63 | 2 | ![]() | |
64 | 4 | ![]() | |
65 | 3 | ![]() | |
66 | 2 | ![]() | |
67 | 1 | ![]() | |
68 | 2 | ![]() | |
69 | 1 | ![]() | |
7 | 426 | ![]() | |
70 | 2 | ![]() | |
71 | 2 | ![]() | |
72 | 1 | ![]() | |
73 | 1 | ![]() | |
74 | 1 | ![]() | |
75 | 1 | ![]() | |
76 | 1 | ![]() | |
78 | 2 | ![]() | |
8 | 330 | ![]() | |
80 | 6 | ![]() | |
82 | 1 | ![]() | |
83 | 2 | ![]() | |
84 | 1 | ![]() | |
85 | 2 | ![]() | |
87 | 2 | ![]() | |
88 | 2 | ![]() | |
89 | 2 | ![]() | |
9 | 207 | ![]() | |
90 | 1 | ![]() | |
94 | 2 | ![]() | |
95 | 1 | ![]() | |
96 | 1 | ![]() |
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.