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
552921
- 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
Females (hired)
(F_HIRED)
File: 25 Utter Pradesh
File: 25 Utter Pradesh
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 2710651 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0 | 2644312 | 97.6% | |
1 | 25737 | 0.9% | |
10 | 1653 | 0.1% | |
100 | 23 | 0.0% | |
105 | 2 | 0.0% | |
106 | 2 | 0.0% | |
108 | 1 | 0.0% | |
109 | 1 | 0.0% | |
11 | 281 | 0.0% | |
111 | 1 | 0.0% | |
112 | 1 | 0.0% | |
114 | 2 | 0.0% | |
115 | 2 | 0.0% | |
118 | 1 | 0.0% | |
119 | 1 | 0.0% | |
12 | 429 | 0.0% | |
121 | 1 | 0.0% | |
122 | 1 | 0.0% | |
124 | 1 | 0.0% | |
125 | 5 | 0.0% | |
127 | 1 | 0.0% | |
129 | 1 | 0.0% | |
13 | 192 | 0.0% | |
130 | 1 | 0.0% | |
135 | 3 | 0.0% | |
137 | 1 | 0.0% | |
14 | 178 | 0.0% | |
140 | 1 | 0.0% | |
145 | 1 | 0.0% | |
147 | 1 | 0.0% | |
15 | 640 | 0.0% | |
150 | 8 | 0.0% | |
154 | 2 | 0.0% | |
155 | 1 | 0.0% | |
156 | 1 | 0.0% | |
158 | 1 | 0.0% | |
16 | 153 | 0.0% | |
161 | 1 | 0.0% | |
165 | 1 | 0.0% | |
17 | 124 | 0.0% | |
170 | 1 | 0.0% | |
171 | 1 | 0.0% | |
18 | 132 | 0.0% | |
188 | 1 | 0.0% | |
189 | 1 | 0.0% | |
19 | 81 | 0.0% | |
191 | 1 | 0.0% | |
2 | 14629 | 0.5% | |
20 | 711 | 0.0% | |
200 | 8 | 0.0% | |
2000 | 1 | 0.0% | |
202 | 1 | 0.0% | |
21 | 62 | 0.0% | |
212 | 1 | 0.0% | |
22 | 87 | 0.0% | |
225 | 1 | 0.0% | |
228 | 1 | 0.0% | |
23 | 55 | 0.0% | |
230 | 1 | 0.0% | |
234 | 1 | 0.0% | |
24 | 57 | 0.0% | |
242 | 1 | 0.0% | |
249 | 2 | 0.0% | |
25 | 304 | 0.0% | |
250 | 5 | 0.0% | |
251 | 1 | 0.0% | |
26 | 39 | 0.0% | |
260 | 1 | 0.0% | |
27 | 46 | 0.0% | |
28 | 62 | 0.0% | |
287 | 1 | 0.0% | |
29 | 30 | 0.0% | |
3 | 6673 | 0.2% | |
30 | 345 | 0.0% | |
300 | 4 | 0.0% | |
30000 | 1 | 0.0% | |
302 | 1 | 0.0% | |
31 | 35 | 0.0% | |
311 | 1 | 0.0% | |
318 | 1 | 0.0% | |
32 | 45 | 0.0% | |
323 | 1 | 0.0% | |
33 | 23 | 0.0% | |
331 | 1 | 0.0% | |
34 | 38 | 0.0% | |
35 | 117 | 0.0% | |
36 | 30 | 0.0% | |
37 | 16 | 0.0% | |
38 | 20 | 0.0% | |
39 | 13 | 0.0% | |
4 | 4230 | 0.2% | |
40 | 146 | 0.0% | |
400 | 1 | 0.0% | |
41 | 11 | 0.0% | |
410 | 1 | 0.0% | |
42 | 31 | 0.0% | |
425 | 1 | 0.0% | |
43 | 12 | 0.0% | |
44 | 17 | 0.0% | |
45 | 31 | 0.0% | |
450 | 1 | 0.0% | |
46 | 12 | 0.0% | |
47 | 7 | 0.0% | |
48 | 12 | 0.0% | |
49 | 9 | 0.0% | |
5 | 3513 | 0.1% | |
50 | 172 | 0.0% | |
51 | 8 | 0.0% | |
52 | 10 | 0.0% | |
53 | 6 | 0.0% | |
533 | 1 | 0.0% | |
54 | 3 | 0.0% | |
55 | 21 | 0.0% | |
56 | 9 | 0.0% | |
57 | 5 | 0.0% | |
58 | 5 | 0.0% | |
59 | 6 | 0.0% | |
6 | 1979 | 0.1% | |
60 | 42 | 0.0% | |
61 | 4 | 0.0% | |
62 | 8 | 0.0% | |
63 | 4 | 0.0% | |
64 | 9 | 0.0% | |
65 | 4 | 0.0% | |
66 | 4 | 0.0% | |
67 | 3 | 0.0% | |
69 | 5 | 0.0% | |
7 | 1164 | 0.0% | |
70 | 16 | 0.0% | |
71 | 1 | 0.0% | |
72 | 3 | 0.0% | |
73 | 5 | 0.0% | |
74 | 3 | 0.0% | |
75 | 12 | 0.0% | |
76 | 4 | 0.0% | |
77 | 2 | 0.0% | |
78 | 1 | 0.0% | |
79 | 1 | 0.0% | |
8 | 1081 | 0.0% | |
80 | 15 | 0.0% | |
81 | 1 | 0.0% | |
82 | 1 | 0.0% | |
83 | 1 | 0.0% | |
84 | 1 | 0.0% | |
85 | 6 | 0.0% | |
86 | 1 | 0.0% | |
87 | 1 | 0.0% | |
9 | 512 | 0.0% | |
90 | 6 | 0.0% | |
94 | 2 | 0.0% | |
95 | 2 | 0.0% | |
96 | 1 | 0.0% | |
969 | 1 | 0.0% | |
98 | 4 | 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.