India - Fourth Economic Census 1998
Reference ID | IDDI-IND-MOSPI-4-EC-1998 |
Year | 0 |
Country | India |
Producer(s) | Central Statistical Organisation(CSO) - Ministry of Statistics and Programme Implementation, Government of India (GOI) |
Sponsor(s) | Government of India - GoI - |
Collection(s) |
Created on
Jan 16, 2018
Last modified
Mar 29, 2019
Page views
718567
- 02 Andhra Pradesh
- 03 Arunachal Pradesh
- 04 Assam
- 05 Bihar
- 06 Goa
- 07 Gujarat
- 08 Haryana
- 09 HP
- 10 J&K
- 11 Karnataka
- 12 Kerala
- 13 Madhya Pradesh
- 14 Maharashtra
- 15 Manipur
- 16 Meghalaya
- 17 Mizoram
- 18 Nagaland
- 19 Orissa
- 20 Punjab
- 21 Rajsthan
- 22 Sikkim
- 23 TamilNadu
- 24 Tripura
- 25 UP
- 26 WB
- 27 AN&Island
- 28 Chandigarh
- 29 Dadar & Nagar
Haveli - 30 Daman & Diu
- 31 Delhi
- 32 Lashadweep
- 33 Pondichery
- 34 Jharkhand
- 35 Chhattisgarh
- 36 Uttaranchal
UFS BLOCK
(UFS_BLOCK)
File: 13 Madhya Pradesh
File: 13 Madhya Pradesh
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 1593342 Invalid: 0 |
Categories
Value | Category | Cases | |
---|---|---|---|
00 | 835274 | ![]() | |
01 | 37970 | ![]() | |
02 | 32256 | ![]() | |
03 | 32303 | ![]() | |
04 | 31485 | ![]() | |
05 | 32471 | ![]() | |
06 | 33902 | ![]() | |
07 | 32521 | ![]() | |
08 | 33497 | ![]() | |
09 | 34536 | ![]() | |
10 | 32522 | ![]() | |
11 | 32265 | ![]() | |
12 | 30958 | ![]() | |
13 | 31072 | ![]() | |
14 | 29359 | ![]() | |
15 | 28077 | ![]() | |
16 | 24939 | ![]() | |
17 | 25725 | ![]() | |
18 | 24447 | ![]() | |
19 | 22598 | ![]() | |
20 | 20902 | ![]() | |
21 | 19031 | ![]() | |
22 | 17792 | ![]() | |
23 | 16691 | ![]() | |
24 | 14027 | ![]() | |
25 | 13055 | ![]() | |
26 | 10713 | ![]() | |
27 | 12422 | ![]() | |
28 | 8934 | ![]() | |
29 | 7416 | ![]() | |
30 | 7920 | ![]() | |
31 | 4601 | ![]() | |
32 | 3369 | ![]() | |
33 | 3090 | ![]() | |
34 | 2162 | ![]() | |
35 | 2156 | ![]() | |
36 | 1551 | ![]() | |
37 | 966 | ![]() | |
38 | 786 | ![]() | |
39 | 770 | ![]() | |
40 | 730 | ![]() | |
41 | 470 | ![]() | |
42 | 402 | ![]() | |
43 | 375 | ![]() | |
44 | 287 | ![]() | |
45 | 269 | ![]() | |
46 | 216 | ![]() | |
47 | 100 | ![]() | |
48 | 147 | ![]() | |
49 | 223 | ![]() | |
50 | 186 | ![]() | |
51 | 322 | ![]() | |
52 | 107 | ![]() | |
53 | 89 | ![]() | |
54 | 206 | ![]() | |
55 | 60 | ![]() | |
56 | 20 | ![]() | |
57 | 25 | ![]() | |
58 | 201 | ![]() | |
59 | 9 | ![]() | |
60 | 42 | ![]() | |
61 | 37 | ![]() | |
62 | 39 | ![]() | |
63 | 77 | ![]() | |
64 | 50 | ![]() | |
65 | 213 | ![]() | |
66 | 78 | ![]() | |
67 | 3 | ![]() | |
68 | 61 | ![]() | |
69 | 26 | ![]() | |
70 | 3 | ![]() | |
71 | 27 | ![]() | |
72 | 2 | ![]() | |
73 | 52 | ![]() | |
74 | 18 | ![]() | |
75 | 36 | ![]() | |
76 | 94 | ![]() | |
77 | 37 | ![]() | |
78 | 132 | ![]() | |
79 | 91 | ![]() | |
80 | 83 | ![]() | |
81 | 5 | ![]() | |
82 | 392 | ![]() | |
83 | 25 | ![]() | |
84 | 73 | ![]() | |
85 | 66 | ![]() | |
86 | 58 | ![]() | |
87 | 16 | ![]() | |
88 | 22 | ![]() | |
89 | 75 | ![]() | |
90 | 155 | ![]() | |
91 | 36 | ![]() | |
92 | 15 | ![]() | |
93 | 23 | ![]() | |
94 | 72 | ![]() | |
95 | 20 | ![]() | |
96 | 36 | ![]() | |
97 | 4 | ![]() | |
98 | 28 | ![]() | |
99 | 45 | ![]() |
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.