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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
669149
- 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: 13 Madhya Pradesh
File: 13 Madhya Pradesh
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 1593342 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 01 | MORENA | 23052 |  1.4%
|
| 02 | BHIND | 22451 | 1.4%
|
| 03 | GWALIOR | 60742 | 3.8%
|
| 04 | DATIA | 18474 | 1.2%
|
| 05 | SHIVPURI | 27540 | 1.7%
|
| 06 | GUNA | 38959 | 2.4%
|
| 07 | TIKAMGARH | 23919 | 1.5%
|
| 08 | CHHATARPUR | 34555 | 2.2%
|
| 09 | PANNA | 17558 | 1.1%
|
| 10 | SAGAR | 90626 | 5.7%
|
| 11 | DAMOH | 67291 | 4.2%
|
| 12 | SATNA | 48522 | 3.0%
|
| 13 | REWA | 29901 | 1.9%
|
| 14 | SHAHDOL | 30205 | 1.9%
|
| 15 | SIDHI | 27001 | 1.7%
|
| 16 | MANDSAUR | 34139 | 2.1%
|
| 17 | RATLAM | 40437 | 2.5%
|
| 18 | UJJAIN | 69354 | 4.4%
|
| 19 | SHAJAPUR | 40452 | 2.5%
|
| 20 | DEWAS | 39741 | 2.5%
|
| 21 | JHABUA | 18019 | 1.1%
|
| 22 | DHAR | 35478 | 2.2%
|
| 23 | INDORE | 96853 | 6.1%
|
| 24 | KHARGOAN | 30402 | 1.9%
|
| 25 | EAST NIMAR(KHANDWA) | 41665 | 2.6%
|
| 26 | RAJGARH | 34657 | 2.2%
|
| 27 | VIDISHA | 31167 | 2.0%
|
| 28 | BHOPAL | 56048 | 3.5%
|
| 29 | SEHORE | 22103 | 1.4%
|
| 30 | RAISEN | 22844 | 1.4%
|
| 31 | BETUL | 36571 | 2.3%
|
| 32 | HOSANGABAD | 27458 | 1.7%
|
| 33 | JABALPUR | 94507 | 5.9%
|
| 34 | NARSIMHPUR | 25305 | 1.6%
|
| 35 | MANDLA | 17349 | 1.1%
|
| 36 | CHHINDWARA | 43822 | 2.8%
|
| 37 | SEONI | 29504 | 1.9%
|
| 38 | BALAGHAT | 43208 | 2.7%
|
| 46 | HARDA | 11473 | 0.7%
|
| 51 | SHOOPUR | 10214 | 0.6%
|
| 52 | BADWANI | 16530 | 1.0%
|
| 53 | KATNI | 21447 | 1.3%
|
| 54 | DINDORI | 10866 | 0.7%
|
| 60 | UMARIYA | 9650 | 0.6%
|
| 61 | NEEMACH | 21283 | 1.3%
|
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.