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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
681648
- 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
UFS BLOCK
(UFS_BLOCK)
File: 15 Manipur
File: 15 Manipur
Overview
Type:
Discrete Format: character Width: 2 | Valid cases: 80489 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 00 | 43019 |  53.4%
| |
| 01 | 1731 | 2.2%
| |
| 02 | 1734 | 2.2%
| |
| 03 | 1947 | 2.4%
| |
| 04 | 2177 | 2.7%
| |
| 05 | 1898 | 2.4%
| |
| 06 | 1834 | 2.3%
| |
| 07 | 1579 | 2.0%
| |
| 08 | 2022 | 2.5%
| |
| 09 | 1651 | 2.1%
| |
| 10 | 1026 | 1.3%
| |
| 11 | 1380 | 1.7%
| |
| 12 | 1495 | 1.9%
| |
| 13 | 1861 | 2.3%
| |
| 14 | 4350 | 5.4%
| |
| 15 | 931 | 1.2%
| |
| 16 | 1005 | 1.2%
| |
| 17 | 1247 | 1.5%
| |
| 18 | 1357 | 1.7%
| |
| 19 | 684 | 0.8%
| |
| 20 | 525 | 0.7%
| |
| 21 | 804 | 1.0%
| |
| 22 | 1257 | 1.6%
| |
| 23 | 290 | 0.4%
| |
| 24 | 350 | 0.4%
| |
| 25 | 248 | 0.3%
| |
| 26 | 193 | 0.2%
| |
| 27 | 192 | 0.2%
| |
| 28 | 217 | 0.3%
| |
| 29 | 293 | 0.4%
| |
| 30 | 203 | 0.3%
| |
| 31 | 372 | 0.5%
| |
| 32 | 67 | 0.1%
| |
| 33 | 151 | 0.2%
| |
| 34 | 135 | 0.2%
| |
| 35 | 55 | 0.1%
| |
| 36 | 64 | 0.1%
| |
| 37 | 37 | 0.0%
| |
| 38 | 63 | 0.1%
| |
| 39 | 44 | 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.