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
527553
- 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
Female (including unpaid & hired
(F_UNPAID_H)
File: 13 Madhya Pradesh
File: 13 Madhya Pradesh
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 1481145 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0 | 1077789 | 72.8% | |
1 | 289808 | 19.6% | |
10 | 1091 | 0.1% | |
100 | 16 | 0.0% | |
101 | 1 | 0.0% | |
103 | 1 | 0.0% | |
105 | 1 | 0.0% | |
106 | 1 | 0.0% | |
108 | 2 | 0.0% | |
109 | 1 | 0.0% | |
11 | 298 | 0.0% | |
110 | 1 | 0.0% | |
111 | 1 | 0.0% | |
112 | 1 | 0.0% | |
113 | 1 | 0.0% | |
1130 | 1 | 0.0% | |
114 | 1 | 0.0% | |
115 | 1 | 0.0% | |
118 | 2 | 0.0% | |
12 | 431 | 0.0% | |
120 | 1 | 0.0% | |
1200 | 1 | 0.0% | |
124 | 1 | 0.0% | |
125 | 3 | 0.0% | |
127 | 1 | 0.0% | |
128 | 1 | 0.0% | |
129 | 2 | 0.0% | |
13 | 209 | 0.0% | |
130 | 1 | 0.0% | |
138 | 1 | 0.0% | |
1383 | 1 | 0.0% | |
14 | 194 | 0.0% | |
140 | 2 | 0.0% | |
143 | 2 | 0.0% | |
144 | 2 | 0.0% | |
146 | 1 | 0.0% | |
149 | 2 | 0.0% | |
15 | 397 | 0.0% | |
150 | 5 | 0.0% | |
152 | 1 | 0.0% | |
154 | 1 | 0.0% | |
155 | 1 | 0.0% | |
157 | 1 | 0.0% | |
159 | 2 | 0.0% | |
16 | 169 | 0.0% | |
165 | 1 | 0.0% | |
168 | 1 | 0.0% | |
17 | 133 | 0.0% | |
172 | 1 | 0.0% | |
178 | 1 | 0.0% | |
18 | 126 | 0.0% | |
180 | 1 | 0.0% | |
188 | 1 | 0.0% | |
19 | 73 | 0.0% | |
199 | 1 | 0.0% | |
2 | 73109 | 4.9% | |
20 | 286 | 0.0% | |
200 | 3 | 0.0% | |
202 | 1 | 0.0% | |
207 | 1 | 0.0% | |
21 | 58 | 0.0% | |
22 | 88 | 0.0% | |
23 | 56 | 0.0% | |
239 | 1 | 0.0% | |
24 | 64 | 0.0% | |
242 | 1 | 0.0% | |
25 | 153 | 0.0% | |
250 | 6 | 0.0% | |
26 | 51 | 0.0% | |
260 | 1 | 0.0% | |
27 | 36 | 0.0% | |
275 | 1 | 0.0% | |
28 | 30 | 0.0% | |
29 | 19 | 0.0% | |
3 | 18740 | 1.3% | |
30 | 116 | 0.0% | |
300 | 2 | 0.0% | |
303 | 1 | 0.0% | |
305 | 1 | 0.0% | |
31 | 21 | 0.0% | |
316 | 1 | 0.0% | |
32 | 31 | 0.0% | |
322 | 1 | 0.0% | |
33 | 21 | 0.0% | |
34 | 13 | 0.0% | |
35 | 55 | 0.0% | |
350 | 1 | 0.0% | |
36 | 16 | 0.0% | |
362 | 1 | 0.0% | |
366 | 1 | 0.0% | |
37 | 13 | 0.0% | |
38 | 13 | 0.0% | |
382 | 1 | 0.0% | |
39 | 17 | 0.0% | |
4 | 7770 | 0.5% | |
40 | 55 | 0.0% | |
400 | 1 | 0.0% | |
403 | 1 | 0.0% | |
41 | 11 | 0.0% | |
410 | 1 | 0.0% | |
416 | 1 | 0.0% | |
42 | 12 | 0.0% | |
43 | 8 | 0.0% | |
44 | 6 | 0.0% | |
45 | 25 | 0.0% | |
46 | 8 | 0.0% | |
466 | 1 | 0.0% | |
47 | 15 | 0.0% | |
48 | 12 | 0.0% | |
49 | 8 | 0.0% | |
5 | 4073 | 0.3% | |
50 | 59 | 0.0% | |
51 | 15 | 0.0% | |
52 | 6 | 0.0% | |
53 | 8 | 0.0% | |
54 | 5 | 0.0% | |
55 | 10 | 0.0% | |
550 | 1 | 0.0% | |
56 | 4 | 0.0% | |
561 | 1 | 0.0% | |
57 | 7 | 0.0% | |
58 | 4 | 0.0% | |
59 | 5 | 0.0% | |
6 | 2291 | 0.2% | |
60 | 23 | 0.0% | |
61 | 4 | 0.0% | |
62 | 1 | 0.0% | |
63 | 9 | 0.0% | |
64 | 6 | 0.0% | |
65 | 4 | 0.0% | |
66 | 6 | 0.0% | |
67 | 4 | 0.0% | |
68 | 4 | 0.0% | |
69 | 6 | 0.0% | |
7 | 1168 | 0.1% | |
70 | 14 | 0.0% | |
72 | 3 | 0.0% | |
738 | 1 | 0.0% | |
74 | 3 | 0.0% | |
75 | 16 | 0.0% | |
76 | 3 | 0.0% | |
77 | 2 | 0.0% | |
78 | 2 | 0.0% | |
79 | 1 | 0.0% | |
794 | 1 | 0.0% | |
8 | 1083 | 0.1% | |
80 | 11 | 0.0% | |
81 | 3 | 0.0% | |
82 | 3 | 0.0% | |
821 | 1 | 0.0% | |
83 | 1 | 0.0% | |
84 | 2 | 0.0% | |
85 | 5 | 0.0% | |
86 | 1 | 0.0% | |
87 | 2 | 0.0% | |
88 | 1 | 0.0% | |
9 | 495 | 0.0% | |
90 | 4 | 0.0% | |
91 | 1 | 0.0% | |
95 | 3 | 0.0% | |
96 | 2 | 0.0% | |
99 | 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.