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
547402
- 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: 04 Assam
File: 04 Assam
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 477151 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0 | 422130 | 88.5% | |
1 | 32499 | 6.8% | |
10 | 387 | 0.1% | |
100 | 14 | 0.0% | |
1000 | 1 | 0.0% | |
103 | 1 | 0.0% | |
108 | 1 | 0.0% | |
109 | 1 | 0.0% | |
11 | 140 | 0.0% | |
110 | 2 | 0.0% | |
11000 | 1 | 0.0% | |
115 | 1 | 0.0% | |
116 | 1 | 0.0% | |
117 | 1 | 0.0% | |
12 | 162 | 0.0% | |
120 | 2 | 0.0% | |
121 | 1 | 0.0% | |
122 | 1 | 0.0% | |
124 | 1 | 0.0% | |
1282 | 1 | 0.0% | |
129 | 2 | 0.0% | |
13 | 96 | 0.0% | |
131 | 1 | 0.0% | |
132 | 1 | 0.0% | |
133 | 1 | 0.0% | |
134 | 2 | 0.0% | |
135 | 2 | 0.0% | |
136 | 1 | 0.0% | |
139 | 1 | 0.0% | |
14 | 77 | 0.0% | |
143 | 1 | 0.0% | |
146 | 1 | 0.0% | |
148 | 1 | 0.0% | |
149 | 1 | 0.0% | |
15 | 154 | 0.0% | |
150 | 3 | 0.0% | |
152 | 2 | 0.0% | |
153 | 2 | 0.0% | |
156 | 1 | 0.0% | |
158 | 1 | 0.0% | |
16 | 47 | 0.0% | |
160 | 1 | 0.0% | |
17 | 41 | 0.0% | |
175 | 2 | 0.0% | |
179 | 1 | 0.0% | |
18 | 29 | 0.0% | |
183 | 1 | 0.0% | |
188 | 1 | 0.0% | |
189 | 1 | 0.0% | |
19 | 21 | 0.0% | |
195 | 2 | 0.0% | |
198 | 1 | 0.0% | |
2 | 11509 | 2.4% | |
20 | 127 | 0.0% | |
200 | 4 | 0.0% | |
2000 | 2 | 0.0% | |
2069 | 1 | 0.0% | |
21 | 32 | 0.0% | |
210 | 2 | 0.0% | |
213 | 1 | 0.0% | |
214 | 1 | 0.0% | |
215 | 1 | 0.0% | |
22 | 27 | 0.0% | |
229 | 1 | 0.0% | |
23 | 21 | 0.0% | |
24 | 17 | 0.0% | |
25 | 62 | 0.0% | |
250 | 1 | 0.0% | |
26 | 10 | 0.0% | |
262 | 1 | 0.0% | |
27 | 14 | 0.0% | |
270 | 2 | 0.0% | |
275 | 1 | 0.0% | |
277 | 1 | 0.0% | |
28 | 16 | 0.0% | |
280 | 2 | 0.0% | |
282 | 1 | 0.0% | |
288 | 1 | 0.0% | |
289 | 1 | 0.0% | |
29 | 6 | 0.0% | |
290 | 1 | 0.0% | |
294 | 2 | 0.0% | |
295 | 1 | 0.0% | |
297 | 1 | 0.0% | |
3 | 3904 | 0.8% | |
30 | 64 | 0.0% | |
303 | 1 | 0.0% | |
31 | 7 | 0.0% | |
316 | 1 | 0.0% | |
319 | 1 | 0.0% | |
32 | 5 | 0.0% | |
329 | 1 | 0.0% | |
33 | 6 | 0.0% | |
339 | 2 | 0.0% | |
34 | 5 | 0.0% | |
342 | 1 | 0.0% | |
35 | 14 | 0.0% | |
36 | 5 | 0.0% | |
37 | 2 | 0.0% | |
38 | 6 | 0.0% | |
381 | 1 | 0.0% | |
384 | 1 | 0.0% | |
385 | 1 | 0.0% | |
394 | 1 | 0.0% | |
4 | 2023 | 0.4% | |
40 | 37 | 0.0% | |
4000 | 1 | 0.0% | |
41 | 5 | 0.0% | |
42 | 3 | 0.0% | |
43 | 7 | 0.0% | |
44 | 2 | 0.0% | |
45 | 8 | 0.0% | |
46 | 2 | 0.0% | |
47 | 5 | 0.0% | |
48 | 2 | 0.0% | |
495 | 1 | 0.0% | |
5 | 1371 | 0.3% | |
50 | 41 | 0.0% | |
508 | 1 | 0.0% | |
51 | 7 | 0.0% | |
511 | 1 | 0.0% | |
52 | 3 | 0.0% | |
53 | 3 | 0.0% | |
541 | 1 | 0.0% | |
544 | 1 | 0.0% | |
55 | 4 | 0.0% | |
56 | 6 | 0.0% | |
57 | 3 | 0.0% | |
570 | 1 | 0.0% | |
58 | 2 | 0.0% | |
6 | 764 | 0.2% | |
60 | 12 | 0.0% | |
61 | 2 | 0.0% | |
62 | 1 | 0.0% | |
63 | 4 | 0.0% | |
64 | 5 | 0.0% | |
65 | 1 | 0.0% | |
66 | 1 | 0.0% | |
68 | 1 | 0.0% | |
7 | 442 | 0.1% | |
70 | 5 | 0.0% | |
700 | 1 | 0.0% | |
74 | 2 | 0.0% | |
75 | 3 | 0.0% | |
77 | 1 | 0.0% | |
779 | 1 | 0.0% | |
79 | 1 | 0.0% | |
799 | 1 | 0.0% | |
8 | 372 | 0.1% | |
80 | 8 | 0.0% | |
800 | 1 | 0.0% | |
81 | 1 | 0.0% | |
83 | 1 | 0.0% | |
86 | 1 | 0.0% | |
863 | 1 | 0.0% | |
87 | 2 | 0.0% | |
9 | 222 | 0.0% | |
90 | 2 | 0.0% | |
92 | 1 | 0.0% | |
95 | 2 | 0.0% | |
96 | 1 | 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.