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
597753
- 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
village/ward code
(VILL_WARD_CODE)
File: 12 Kerala
File: 12 Kerala
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 1229329 Invalid: 0 |
Categories
Value | Category | Cases | |
---|---|---|---|
1 | 70972 | ![]() | |
10 | 45098 | ![]() | |
103 | 61 | ![]() | |
104 | 40 | ![]() | |
107 | 6 | ![]() | |
108 | 33 | ![]() | |
109 | 15 | ![]() | |
11 | 49405 | ![]() | |
110 | 14 | ![]() | |
1100 | 24 | ![]() | |
111 | 65 | ![]() | |
116 | 51 | ![]() | |
117 | 177 | ![]() | |
118 | 4 | ![]() | |
119 | 295 | ![]() | |
12 | 44694 | ![]() | |
121 | 215 | ![]() | |
122 | 435 | ![]() | |
123 | 307 | ![]() | |
125 | 28 | ![]() | |
126 | 13 | ![]() | |
127 | 25 | ![]() | |
128 | 176 | ![]() | |
13 | 37819 | ![]() | |
14 | 36309 | ![]() | |
15 | 31770 | ![]() | |
16 | 29720 | ![]() | |
1600 | 1 | ![]() | |
17 | 29348 | ![]() | |
18 | 27759 | ![]() | |
19 | 23036 | ![]() | |
2 | 66219 | ![]() | |
20 | 27949 | ![]() | |
21 | 24033 | ![]() | |
22 | 21406 | ![]() | |
23 | 19567 | ![]() | |
2300 | 1 | ![]() | |
24 | 15377 | ![]() | |
25 | 16052 | ![]() | |
26 | 14015 | ![]() | |
27 | 12454 | ![]() | |
28 | 13000 | ![]() | |
29 | 11469 | ![]() | |
3 | 65551 | ![]() | |
30 | 9818 | ![]() | |
31 | 6878 | ![]() | |
3100 | 246 | ![]() | |
32 | 8447 | ![]() | |
33 | 7444 | ![]() | |
3300 | 2 | ![]() | |
34 | 8646 | ![]() | |
3400 | 4 | ![]() | |
35 | 6937 | ![]() | |
36 | 9464 | ![]() | |
3600 | 16 | ![]() | |
37 | 6315 | ![]() | |
38 | 6092 | ![]() | |
39 | 6857 | ![]() | |
3900 | 2 | ![]() | |
4 | 66626 | ![]() | |
40 | 9722 | ![]() | |
41 | 5667 | ![]() | |
417 | 59 | ![]() | |
42 | 3316 | ![]() | |
43 | 2233 | ![]() | |
44 | 2193 | ![]() | |
45 | 2935 | ![]() | |
46 | 1688 | ![]() | |
47 | 3215 | ![]() | |
48 | 3189 | ![]() | |
49 | 3297 | ![]() | |
5 | 61095 | ![]() | |
50 | 3847 | ![]() | |
51 | 804 | ![]() | |
52 | 1673 | ![]() | |
53 | 691 | ![]() | |
54 | 388 | ![]() | |
55 | 575 | ![]() | |
56 | 305 | ![]() | |
57 | 858 | ![]() | |
58 | 156 | ![]() | |
59 | 768 | ![]() | |
6 | 64624 | ![]() | |
60 | 753 | ![]() | |
61 | 805 | ![]() | |
62 | 452 | ![]() | |
63 | 535 | ![]() | |
64 | 977 | ![]() | |
65 | 322 | ![]() | |
66 | 832 | ![]() | |
67 | 225 | ![]() | |
68 | 525 | ![]() | |
69 | 846 | ![]() | |
7 | 58590 | ![]() | |
70 | 445 | ![]() | |
71 | 643 | ![]() | |
72 | 521 | ![]() | |
73 | 476 | ![]() | |
74 | 199 | ![]() | |
75 | 280 | ![]() | |
76 | 238 | ![]() | |
77 | 358 | ![]() | |
78 | 498 | ![]() | |
8 | 55667 | ![]() | |
87 | 141 | ![]() | |
9 | 52901 | ![]() |
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.