India - Fourth Economic Census 1998
Reference ID | IDDI-IND-MOSPI-4-EC-1998 |
Year | 0 |
Country | India |
Producer(s) | Central Statistical Organisation(CSO) - Ministry of Statistics and Programme Implementation, Government of India (GOI) |
Sponsor(s) | Government of India - GoI - |
Collection(s) |
Created on
Jan 16, 2018
Last modified
Mar 29, 2019
Page views
682017
- 02 Andhra Pradesh
- 03 Arunachal Pradesh
- 04 Assam
- 05 Bihar
- 06 Goa
- 07 Gujarat
- 08 Haryana
- 09 HP
- 10 J&K
- 11 Karnataka
- 12 Kerala
- 13 Madhya Pradesh
- 14 Maharashtra
- 15 Manipur
- 16 Meghalaya
- 17 Mizoram
- 18 Nagaland
- 19 Orissa
- 20 Punjab
- 21 Rajsthan
- 22 Sikkim
- 23 TamilNadu
- 24 Tripura
- 25 UP
- 26 WB
- 27 AN&Island
- 28 Chandigarh
- 29 Dadar & Nagar
Haveli - 30 Daman & Diu
- 31 Delhi
- 32 Lashadweep
- 33 Pondichery
- 34 Jharkhand
- 35 Chhattisgarh
- 36 Uttaranchal
DISTRICT CODE
(DT)
File: 14 Maharashtra
File: 14 Maharashtra
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 3234022 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
01 | GREATER BOMBAY | 485492 | 15.0% |
02 | THANE | 219871 | 6.8% |
03 | RAIGAD | 57213 | 1.8% |
04 | RATANGIRI | 49190 | 1.5% |
05 | SINDAUDURG | 36043 | 1.1% |
06 | NASIK | 127415 | 3.9% |
07 | DHULE | 96181 | 3.0% |
08 | JALGAON | 107871 | 3.3% |
09 | AHMADNAGAR | 133739 | 4.1% |
10 | PUNE | 241185 | 7.5% |
11 | SATARA | 104783 | 3.2% |
12 | SANGLI | 112775 | 3.5% |
13 | SHOLAPUR | 141293 | 4.4% |
14 | KOLHAPUR | 236818 | 7.3% |
15 | AURANGABAD | 71434 | 2.2% |
16 | JALNA | 40477 | 1.3% |
17 | PARBHANI | 52408 | 1.6% |
18 | BEED | 59045 | 1.8% |
19 | NANDED | 62583 | 1.9% |
20 | OSMANABAD | 43828 | 1.4% |
21 | LATUR | 43312 | 1.3% |
22 | BULDANA | 62175 | 1.9% |
23 | AKOLA | 84538 | 2.6% |
24 | AMRAVATI | 89327 | 2.8% |
25 | YAVATMAL | 77762 | 2.4% |
26 | WARDHA | 41050 | 1.3% |
27 | NAGPUR | 154245 | 4.8% |
28 | BHANDARA | 98003 | 3.0% |
29 | CHANDRAPUR | 70783 | 2.2% |
30 | GADCHIROLI | 33183 | 1.0% |
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.