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
717933
- 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: 21 Rajsthan
File: 21 Rajsthan
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 1530585 Invalid: 0 |
Categories
Value | Category | Cases | |
---|---|---|---|
00 | 904382 | ![]() | |
01 | 26142 | ![]() | |
02 | 21449 | ![]() | |
03 | 21824 | ![]() | |
04 | 22035 | ![]() | |
05 | 23227 | ![]() | |
06 | 22873 | ![]() | |
07 | 23359 | ![]() | |
08 | 22623 | ![]() | |
09 | 22953 | ![]() | |
1 | 3500 | ![]() | |
10 | 25920 | ![]() | |
11 | 26238 | ![]() | |
12 | 25018 | ![]() | |
13 | 23413 | ![]() | |
14 | 21888 | ![]() | |
15 | 21645 | ![]() | |
16 | 20503 | ![]() | |
17 | 20807 | ![]() | |
18 | 19479 | ![]() | |
19 | 20020 | ![]() | |
2 | 2819 | ![]() | |
20 | 19727 | ![]() | |
21 | 17466 | ![]() | |
22 | 15627 | ![]() | |
23 | 13767 | ![]() | |
24 | 12844 | ![]() | |
25 | 11432 | ![]() | |
26 | 12532 | ![]() | |
27 | 10464 | ![]() | |
28 | 9505 | ![]() | |
29 | 8117 | ![]() | |
3 | 2617 | ![]() | |
30 | 7486 | ![]() | |
31 | 5824 | ![]() | |
32 | 5093 | ![]() | |
33 | 3509 | ![]() | |
34 | 2998 | ![]() | |
35 | 2481 | ![]() | |
36 | 1736 | ![]() | |
37 | 1583 | ![]() | |
38 | 892 | ![]() | |
39 | 891 | ![]() | |
4 | 3130 | ![]() | |
40 | 828 | ![]() | |
41 | 468 | ![]() | |
42 | 388 | ![]() | |
43 | 142 | ![]() | |
44 | 110 | ![]() | |
45 | 124 | ![]() | |
46 | 111 | ![]() | |
47 | 67 | ![]() | |
48 | 40 | ![]() | |
49 | 177 | ![]() | |
5 | 2811 | ![]() | |
50 | 41 | ![]() | |
51 | 106 | ![]() | |
52 | 70 | ![]() | |
53 | 91 | ![]() | |
54 | 73 | ![]() | |
55 | 40 | ![]() | |
56 | 27 | ![]() | |
57 | 17 | ![]() | |
58 | 4 | ![]() | |
59 | 35 | ![]() | |
6 | 3488 | ![]() | |
60 | 188 | ![]() | |
61 | 39 | ![]() | |
62 | 23 | ![]() | |
63 | 47 | ![]() | |
64 | 7 | ![]() | |
65 | 14 | ![]() | |
69 | 45 | ![]() | |
7 | 2820 | ![]() | |
70 | 6 | ![]() | |
71 | 3 | ![]() | |
74 | 23 | ![]() | |
75 | 256 | ![]() | |
76 | 36 | ![]() | |
77 | 58 | ![]() | |
78 | 25 | ![]() | |
79 | 13 | ![]() | |
8 | 2474 | ![]() | |
80 | 113 | ![]() | |
81 | 59 | ![]() | |
82 | 43 | ![]() | |
83 | 57 | ![]() | |
84 | 134 | ![]() | |
85 | 20 | ![]() | |
86 | 14 | ![]() | |
87 | 9 | ![]() | |
88 | 25 | ![]() | |
89 | 1 | ![]() | |
9 | 2265 | ![]() | |
90 | 8 | ![]() | |
91 | 12 | ![]() | |
92 | 80 | ![]() | |
93 | 22 | ![]() | |
94 | 432 | ![]() | |
95 | 4 | ![]() | |
96 | 32 | ![]() | |
97 | 28 | ![]() | |
98 | 42 | ![]() | |
99 | 12 | ![]() |
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.