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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
562358
- 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
District
(DT)
File: 14 Maharashtra
File: 14 Maharashtra
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 2623502 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | GREATER BOMBAY | 423419 |  16.1%
|
| 10 | PUNE | 200061 | 7.6%
|
| 11 | SATARA | 82898 | 3.2%
|
| 12 | SANGLI | 87202 | 3.3%
|
| 13 | SOLAPUR | 126293 | 4.8%
|
| 14 | KOLHAPUR | 188891 | 7.2%
|
| 15 | AURANGABAD | 59434 | 2.3%
|
| 16 | JALNA | 28427 | 1.1%
|
| 17 | PARBHANI | 46144 | 1.8%
|
| 18 | BID | 45996 | 1.8%
|
| 19 | NANDED | 51987 | 2.0%
|
| 2 | THANE | 169524 | 6.5%
|
| 20 | OSMANABAD | 36520 | 1.4%
|
| 21 | LATUR | 42885 | 1.6%
|
| 22 | BULDANA | 49911 | 1.9%
|
| 23 | AKOLA | 65311 | 2.5%
|
| 24 | AMRAVATI | 64693 | 2.5%
|
| 25 | YAVATMAL | 58370 | 2.2%
|
| 26 | WARDHA | 33264 | 1.3%
|
| 27 | NAGPUR | 113877 | 4.3%
|
| 28 | BHANDARA | 73857 | 2.8%
|
| 29 | CHANDRAPUR | 54478 | 2.1%
|
| 3 | RAIGARH | 50287 | 1.9%
|
| 30 | GADCHIROLI | 22105 | 0.8%
|
| 4 | RATNAGIRI | 42205 | 1.6%
|
| 5 | SINDHUDURG | 29517 | 1.1%
|
| 6 | NASHIK | 108866 | 4.1%
|
| 7 | DHULE | 75187 | 2.9%
|
| 8 | JALGAON | 90415 | 3.4%
|
| 9 | AHMADNAGAR | 101478 | 3.9%
|
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.