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
562394
- 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
Tehsil/Town code
(TEHSIL_T_CODE)
File: 14 Maharashtra
File: 14 Maharashtra
Overview
Type:
Discrete Format: character Width: 4 | Valid cases: 2623502 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
1 | 824767 | 31.4% | |
10 | 169028 | 6.4% | |
100 | 82774 | 3.2% | |
11 | 12770 | 0.5% | |
110 | 51692 | 2.0% | |
12 | 12350 | 0.5% | |
120 | 49830 | 1.9% | |
13 | 6337 | 0.2% | |
130 | 37556 | 1.4% | |
14 | 5729 | 0.2% | |
140 | 9522 | 0.4% | |
15 | 5322 | 0.2% | |
16 | 6458 | 0.2% | |
17 | 30716 | 1.2% | |
18 | 2054 | 0.1% | |
19 | 3691 | 0.1% | |
2 | 52546 | 2.0% | |
20 | 145424 | 5.5% | |
21 | 2049 | 0.1% | |
22 | 32215 | 1.2% | |
23 | 18148 | 0.7% | |
24 | 469 | 0.0% | |
25 | 338 | 0.0% | |
26 | 2871 | 0.1% | |
27 | 1004 | 0.0% | |
28 | 649 | 0.0% | |
29 | 508 | 0.0% | |
3 | 47279 | 1.8% | |
30 | 133025 | 5.1% | |
31 | 2238 | 0.1% | |
32 | 1327 | 0.1% | |
33 | 363 | 0.0% | |
34 | 325 | 0.0% | |
4 | 58713 | 2.2% | |
40 | 112840 | 4.3% | |
5 | 35573 | 1.4% | |
50 | 127691 | 4.9% | |
6 | 42197 | 1.6% | |
60 | 104544 | 4.0% | |
7 | 33611 | 1.3% | |
70 | 115168 | 4.4% | |
8 | 29163 | 1.1% | |
80 | 102306 | 3.9% | |
9 | 18136 | 0.7% | |
90 | 92186 | 3.5% |
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.