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
560493
- 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: 21 Rajasthan
File: 21 Rajasthan
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 1120648 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0 | 955669 | 85.3% | |
1 | 119518 | 10.7% | |
10 | 619 | 0.1% | |
100 | 9 | 0.0% | |
101 | 1 | 0.0% | |
102 | 1 | 0.0% | |
104 | 2 | 0.0% | |
105 | 2 | 0.0% | |
11 | 155 | 0.0% | |
110 | 2 | 0.0% | |
112 | 2 | 0.0% | |
113 | 1 | 0.0% | |
116 | 1 | 0.0% | |
12 | 269 | 0.0% | |
120 | 2 | 0.0% | |
13 | 142 | 0.0% | |
130 | 1 | 0.0% | |
133 | 1 | 0.0% | |
134 | 1 | 0.0% | |
136 | 1 | 0.0% | |
14 | 106 | 0.0% | |
144 | 1 | 0.0% | |
146 | 1 | 0.0% | |
15 | 241 | 0.0% | |
150 | 4 | 0.0% | |
151 | 1 | 0.0% | |
158 | 2 | 0.0% | |
16 | 89 | 0.0% | |
160 | 2 | 0.0% | |
17 | 69 | 0.0% | |
18 | 90 | 0.0% | |
19 | 43 | 0.0% | |
195 | 2 | 0.0% | |
199 | 1 | 0.0% | |
2 | 27586 | 2.5% | |
20 | 166 | 0.0% | |
200 | 1 | 0.0% | |
21 | 35 | 0.0% | |
215 | 1 | 0.0% | |
22 | 27 | 0.0% | |
225 | 1 | 0.0% | |
23 | 17 | 0.0% | |
24 | 23 | 0.0% | |
25 | 75 | 0.0% | |
250 | 1 | 0.0% | |
26 | 22 | 0.0% | |
27 | 26 | 0.0% | |
279 | 1 | 0.0% | |
28 | 20 | 0.0% | |
286 | 1 | 0.0% | |
287 | 1 | 0.0% | |
29 | 16 | 0.0% | |
298 | 1 | 0.0% | |
3 | 6987 | 0.6% | |
30 | 57 | 0.0% | |
300 | 1 | 0.0% | |
303 | 1 | 0.0% | |
31 | 13 | 0.0% | |
32 | 17 | 0.0% | |
33 | 11 | 0.0% | |
332 | 1 | 0.0% | |
34 | 11 | 0.0% | |
35 | 20 | 0.0% | |
350 | 1 | 0.0% | |
36 | 8 | 0.0% | |
37 | 9 | 0.0% | |
378 | 1 | 0.0% | |
38 | 12 | 0.0% | |
382 | 1 | 0.0% | |
388 | 1 | 0.0% | |
39 | 4 | 0.0% | |
4 | 3373 | 0.3% | |
40 | 34 | 0.0% | |
400 | 1 | 0.0% | |
41 | 7 | 0.0% | |
412 | 1 | 0.0% | |
42 | 12 | 0.0% | |
43 | 3 | 0.0% | |
44 | 6 | 0.0% | |
45 | 6 | 0.0% | |
46 | 3 | 0.0% | |
47 | 3 | 0.0% | |
48 | 4 | 0.0% | |
49 | 5 | 0.0% | |
5 | 2018 | 0.2% | |
50 | 34 | 0.0% | |
51 | 1 | 0.0% | |
52 | 2 | 0.0% | |
53 | 1 | 0.0% | |
54 | 2 | 0.0% | |
55 | 2 | 0.0% | |
56 | 2 | 0.0% | |
57 | 3 | 0.0% | |
58 | 2 | 0.0% | |
59 | 1 | 0.0% | |
594 | 1 | 0.0% | |
6 | 1121 | 0.1% | |
60 | 8 | 0.0% | |
61 | 2 | 0.0% | |
62 | 1 | 0.0% | |
63 | 2 | 0.0% | |
64 | 1 | 0.0% | |
65 | 3 | 0.0% | |
66 | 2 | 0.0% | |
67 | 2 | 0.0% | |
68 | 1 | 0.0% | |
7 | 736 | 0.1% | |
70 | 7 | 0.0% | |
74 | 2 | 0.0% | |
75 | 1 | 0.0% | |
77 | 5 | 0.0% | |
79 | 2 | 0.0% | |
8 | 631 | 0.1% | |
80 | 6 | 0.0% | |
81 | 1 | 0.0% | |
83 | 1 | 0.0% | |
84 | 3 | 0.0% | |
85 | 4 | 0.0% | |
86 | 1 | 0.0% | |
88 | 1 | 0.0% | |
89 | 1 | 0.0% | |
9 | 339 | 0.0% | |
90 | 3 | 0.0% | |
91 | 2 | 0.0% | |
92 | 1 | 0.0% | |
94 | 2 | 0.0% | |
96 | 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.