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
546054
- 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 |
Value | Category | Cases | |
---|---|---|---|
0 | 431537 | 94.9% | |
1 | 38 | 0.0% | |
10 | 223 | 0.0% | |
100 | 10 | 0.0% | |
101 | 95 | 0.0% | |
102 | 42 | 0.0% | |
103 | 30 | 0.0% | |
104 | 19 | 0.0% | |
105 | 372 | 0.1% | |
106 | 76 | 0.0% | |
107 | 20 | 0.0% | |
108 | 62 | 0.0% | |
109 | 1 | 0.0% | |
11 | 259 | 0.1% | |
110 | 75 | 0.0% | |
111 | 42 | 0.0% | |
112 | 50 | 0.0% | |
113 | 5 | 0.0% | |
114 | 19 | 0.0% | |
115 | 44 | 0.0% | |
116 | 8 | 0.0% | |
117 | 9 | 0.0% | |
118 | 19 | 0.0% | |
119 | 27 | 0.0% | |
12 | 169 | 0.0% | |
121 | 70 | 0.0% | |
122 | 21 | 0.0% | |
123 | 14 | 0.0% | |
124 | 22 | 0.0% | |
125 | 7 | 0.0% | |
126 | 15 | 0.0% | |
127 | 11 | 0.0% | |
128 | 15 | 0.0% | |
129 | 2 | 0.0% | |
13 | 1654 | 0.4% | |
131 | 135 | 0.0% | |
132 | 6 | 0.0% | |
133 | 16 | 0.0% | |
134 | 63 | 0.0% | |
14 | 40 | 0.0% | |
15 | 950 | 0.2% | |
16 | 259 | 0.1% | |
17 | 25 | 0.0% | |
18 | 834 | 0.2% | |
19 | 305 | 0.1% | |
2 | 100 | 0.0% | |
20 | 65 | 0.0% | |
21 | 408 | 0.1% | |
22 | 164 | 0.0% | |
23 | 64 | 0.0% | |
24 | 38 | 0.0% | |
25 | 101 | 0.0% | |
26 | 30 | 0.0% | |
27 | 103 | 0.0% | |
28 | 40 | 0.0% | |
29 | 365 | 0.1% | |
3 | 120 | 0.0% | |
30 | 63 | 0.0% | |
31 | 106 | 0.0% | |
32 | 137 | 0.0% | |
33 | 33 | 0.0% | |
34 | 63 | 0.0% | |
35 | 73 | 0.0% | |
36 | 19 | 0.0% | |
37 | 48 | 0.0% | |
38 | 20 | 0.0% | |
39 | 6 | 0.0% | |
4 | 100 | 0.0% | |
40 | 40 | 0.0% | |
42 | 92 | 0.0% | |
43 | 42 | 0.0% | |
44 | 127 | 0.0% | |
45 | 111 | 0.0% | |
46 | 27 | 0.0% | |
47 | 25 | 0.0% | |
48 | 49 | 0.0% | |
49 | 58 | 0.0% | |
5 | 265 | 0.1% | |
50 | 58 | 0.0% | |
51 | 363 | 0.1% | |
52 | 16 | 0.0% | |
53 | 315 | 0.1% | |
54 | 318 | 0.1% | |
55 | 45 | 0.0% | |
56 | 83 | 0.0% | |
57 | 143 | 0.0% | |
58 | 458 | 0.1% | |
59 | 164 | 0.0% | |
6 | 1043 | 0.2% | |
60 | 484 | 0.1% | |
61 | 168 | 0.0% | |
62 | 137 | 0.0% | |
63 | 185 | 0.0% | |
64 | 113 | 0.0% | |
65 | 129 | 0.0% | |
66 | 181 | 0.0% | |
67 | 112 | 0.0% | |
68 | 619 | 0.1% | |
69 | 1104 | 0.2% | |
7 | 964 | 0.2% | |
70 | 44 | 0.0% | |
71 | 36 | 0.0% | |
72 | 87 | 0.0% | |
73 | 130 | 0.0% | |
74 | 90 | 0.0% | |
75 | 208 | 0.0% | |
76 | 9 | 0.0% | |
77 | 18 | 0.0% | |
78 | 191 | 0.0% | |
79 | 57 | 0.0% | |
8 | 52 | 0.0% | |
80 | 33 | 0.0% | |
81 | 368 | 0.1% | |
82 | 18 | 0.0% | |
83 | 1371 | 0.3% | |
84 | 4 | 0.0% | |
85 | 267 | 0.1% | |
87 | 611 | 0.1% | |
88 | 377 | 0.1% | |
89 | 73 | 0.0% | |
9 | 51 | 0.0% | |
90 | 37 | 0.0% | |
91 | 102 | 0.0% | |
92 | 2 | 0.0% | |
94 | 267 | 0.1% | |
95 | 1349 | 0.3% | |
96 | 523 | 0.1% | |
97 | 206 | 0.0% | |
98 | 91 | 0.0% | |
99 | 25 | 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.