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
582006
- 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: 31 Delhi
File: 31 Delhi
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 454716 Invalid: 0 |
Categories
Value | Category | Cases | |
---|---|---|---|
0 | 431537 | ![]() | |
1 | 38 | ![]() | |
10 | 223 | ![]() | |
100 | 10 | ![]() | |
101 | 95 | ![]() | |
102 | 42 | ![]() | |
103 | 30 | ![]() | |
104 | 19 | ![]() | |
105 | 372 | ![]() | |
106 | 76 | ![]() | |
107 | 20 | ![]() | |
108 | 62 | ![]() | |
109 | 1 | ![]() | |
11 | 259 | ![]() | |
110 | 75 | ![]() | |
111 | 42 | ![]() | |
112 | 50 | ![]() | |
113 | 5 | ![]() | |
114 | 19 | ![]() | |
115 | 44 | ![]() | |
116 | 8 | ![]() | |
117 | 9 | ![]() | |
118 | 19 | ![]() | |
119 | 27 | ![]() | |
12 | 169 | ![]() | |
121 | 70 | ![]() | |
122 | 21 | ![]() | |
123 | 14 | ![]() | |
124 | 22 | ![]() | |
125 | 7 | ![]() | |
126 | 15 | ![]() | |
127 | 11 | ![]() | |
128 | 15 | ![]() | |
129 | 2 | ![]() | |
13 | 1654 | ![]() | |
131 | 135 | ![]() | |
132 | 6 | ![]() | |
133 | 16 | ![]() | |
134 | 63 | ![]() | |
14 | 40 | ![]() | |
15 | 950 | ![]() | |
16 | 259 | ![]() | |
17 | 25 | ![]() | |
18 | 834 | ![]() | |
19 | 305 | ![]() | |
2 | 100 | ![]() | |
20 | 65 | ![]() | |
21 | 408 | ![]() | |
22 | 164 | ![]() | |
23 | 64 | ![]() | |
24 | 38 | ![]() | |
25 | 101 | ![]() | |
26 | 30 | ![]() | |
27 | 103 | ![]() | |
28 | 40 | ![]() | |
29 | 365 | ![]() | |
3 | 120 | ![]() | |
30 | 63 | ![]() | |
31 | 106 | ![]() | |
32 | 137 | ![]() | |
33 | 33 | ![]() | |
34 | 63 | ![]() | |
35 | 73 | ![]() | |
36 | 19 | ![]() | |
37 | 48 | ![]() | |
38 | 20 | ![]() | |
39 | 6 | ![]() | |
4 | 100 | ![]() | |
40 | 40 | ![]() | |
42 | 92 | ![]() | |
43 | 42 | ![]() | |
44 | 127 | ![]() | |
45 | 111 | ![]() | |
46 | 27 | ![]() | |
47 | 25 | ![]() | |
48 | 49 | ![]() | |
49 | 58 | ![]() | |
5 | 265 | ![]() | |
50 | 58 | ![]() | |
51 | 363 | ![]() | |
52 | 16 | ![]() | |
53 | 315 | ![]() | |
54 | 318 | ![]() | |
55 | 45 | ![]() | |
56 | 83 | ![]() | |
57 | 143 | ![]() | |
58 | 458 | ![]() | |
59 | 164 | ![]() | |
6 | 1043 | ![]() | |
60 | 484 | ![]() | |
61 | 168 | ![]() | |
62 | 137 | ![]() | |
63 | 185 | ![]() | |
64 | 113 | ![]() | |
65 | 129 | ![]() | |
66 | 181 | ![]() | |
67 | 112 | ![]() | |
68 | 619 | ![]() | |
69 | 1104 | ![]() | |
7 | 964 | ![]() | |
70 | 44 | ![]() | |
71 | 36 | ![]() | |
72 | 87 | ![]() | |
73 | 130 | ![]() | |
74 | 90 | ![]() | |
75 | 208 | ![]() | |
76 | 9 | ![]() | |
77 | 18 | ![]() | |
78 | 191 | ![]() | |
79 | 57 | ![]() | |
8 | 52 | ![]() | |
80 | 33 | ![]() | |
81 | 368 | ![]() | |
82 | 18 | ![]() | |
83 | 1371 | ![]() | |
84 | 4 | ![]() | |
85 | 267 | ![]() | |
87 | 611 | ![]() | |
88 | 377 | ![]() | |
89 | 73 | ![]() | |
9 | 51 | ![]() | |
90 | 37 | ![]() | |
91 | 102 | ![]() | |
92 | 2 | ![]() | |
94 | 267 | ![]() | |
95 | 1349 | ![]() | |
96 | 523 | ![]() | |
97 | 206 | ![]() | |
98 | 91 | ![]() | |
99 | 25 | ![]() |
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.