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
546428
- 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: 18 Nagaland
File: 18 Nagaland
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 23771 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
0 | 16183 | 68.1% | |
1 | 4569 | 19.2% | |
10 | 43 | 0.2% | |
100 | 3 | 0.0% | |
104 | 1 | 0.0% | |
11 | 16 | 0.1% | |
12 | 20 | 0.1% | |
13 | 10 | 0.0% | |
14 | 7 | 0.0% | |
15 | 15 | 0.1% | |
16 | 8 | 0.0% | |
17 | 10 | 0.0% | |
18 | 4 | 0.0% | |
186 | 1 | 0.0% | |
19 | 2 | 0.0% | |
2 | 1516 | 6.4% | |
20 | 15 | 0.1% | |
200 | 1 | 0.0% | |
21 | 4 | 0.0% | |
210 | 1 | 0.0% | |
22 | 4 | 0.0% | |
23 | 4 | 0.0% | |
24 | 5 | 0.0% | |
25 | 6 | 0.0% | |
26 | 10 | 0.0% | |
27 | 2 | 0.0% | |
28 | 1 | 0.0% | |
29 | 1 | 0.0% | |
3 | 528 | 2.2% | |
30 | 3 | 0.0% | |
30006 | 1 | 0.0% | |
32 | 2 | 0.0% | |
33 | 1 | 0.0% | |
35 | 1 | 0.0% | |
37 | 2 | 0.0% | |
38 | 3 | 0.0% | |
4 | 256 | 1.1% | |
41 | 1 | 0.0% | |
42 | 1 | 0.0% | |
43 | 1 | 0.0% | |
48 | 4 | 0.0% | |
5 | 201 | 0.8% | |
50 | 3 | 0.0% | |
54 | 1 | 0.0% | |
6 | 113 | 0.5% | |
60 | 1 | 0.0% | |
64 | 1 | 0.0% | |
65 | 1 | 0.0% | |
7 | 84 | 0.4% | |
75 | 1 | 0.0% | |
79 | 1 | 0.0% | |
8 | 61 | 0.3% | |
80 | 1 | 0.0% | |
9 | 35 | 0.1% | |
90 | 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.