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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
658899
- 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
TOTAL ADULT FEMALE
(T_ADULT_F)
File: 35 Chhattisgarh
File: 35 Chhattisgarh
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 531098 Invalid: 0 |
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 00000 | 378076 |  71.2%
| |
| 00001 | 118843 | 22.4%
| |
| 00002 | 22455 | 4.2%
| |
| 00003 | 4787 | 0.9%
| |
| 00004 | 1999 | 0.4%
| |
| 00005 | 1328 | 0.3%
| |
| 00006 | 711 | 0.1%
| |
| 00007 | 458 | 0.1%
| |
| 00008 | 366 | 0.1%
| |
| 00009 | 183 | 0.0%
| |
| 00010 | 475 | 0.1%
| |
| 00011 | 107 | 0.0%
| |
| 00012 | 160 | 0.0%
| |
| 00013 | 81 | 0.0%
| |
| 00014 | 67 | 0.0%
| |
| 00015 | 171 | 0.0%
| |
| 00016 | 59 | 0.0%
| |
| 00017 | 42 | 0.0%
| |
| 00018 | 44 | 0.0%
| |
| 00019 | 22 | 0.0%
| |
| 00020 | 116 | 0.0%
| |
| 00021 | 23 | 0.0%
| |
| 00022 | 31 | 0.0%
| |
| 00023 | 26 | 0.0%
| |
| 00024 | 10 | 0.0%
| |
| 00025 | 70 | 0.0%
| |
| 00026 | 22 | 0.0%
| |
| 00027 | 16 | 0.0%
| |
| 00028 | 16 | 0.0%
| |
| 00029 | 12 | 0.0%
| |
| 00030 | 47 | 0.0%
| |
| 00031 | 8 | 0.0%
| |
| 00032 | 7 | 0.0%
| |
| 00034 | 6 | 0.0%
| |
| 00035 | 28 | 0.0%
| |
| 00036 | 17 | 0.0%
| |
| 00037 | 5 | 0.0%
| |
| 00038 | 4 | 0.0%
| |
| 00039 | 5 | 0.0%
| |
| 00040 | 19 | 0.0%
| |
| 00041 | 5 | 0.0%
| |
| 00042 | 6 | 0.0%
| |
| 00043 | 1 | 0.0%
| |
| 00044 | 1 | 0.0%
| |
| 00045 | 11 | 0.0%
| |
| 00046 | 2 | 0.0%
| |
| 00047 | 2 | 0.0%
| |
| 00048 | 4 | 0.0%
| |
| 00049 | 2 | 0.0%
| |
| 00050 | 20 | 0.0%
| |
| 00051 | 6 | 0.0%
| |
| 00052 | 4 | 0.0%
| |
| 00053 | 3 | 0.0%
| |
| 00055 | 7 | 0.0%
| |
| 00056 | 2 | 0.0%
| |
| 00057 | 4 | 0.0%
| |
| 00060 | 10 | 0.0%
| |
| 00061 | 1 | 0.0%
| |
| 00062 | 2 | 0.0%
| |
| 00063 | 4 | 0.0%
| |
| 00064 | 4 | 0.0%
| |
| 00065 | 2 | 0.0%
| |
| 00066 | 3 | 0.0%
| |
| 00069 | 1 | 0.0%
| |
| 00070 | 12 | 0.0%
| |
| 00071 | 2 | 0.0%
| |
| 00072 | 1 | 0.0%
| |
| 00075 | 4 | 0.0%
| |
| 00078 | 1 | 0.0%
| |
| 00079 | 1 | 0.0%
| |
| 00080 | 3 | 0.0%
| |
| 00082 | 1 | 0.0%
| |
| 00084 | 1 | 0.0%
| |
| 00085 | 3 | 0.0%
| |
| 00086 | 1 | 0.0%
| |
| 00088 | 1 | 0.0%
| |
| 00089 | 2 | 0.0%
| |
| 00092 | 1 | 0.0%
| |
| 00100 | 6 | 0.0%
| |
| 00101 | 1 | 0.0%
| |
| 00102 | 1 | 0.0%
| |
| 00103 | 1 | 0.0%
| |
| 00105 | 1 | 0.0%
| |
| 00108 | 1 | 0.0%
| |
| 00110 | 3 | 0.0%
| |
| 00111 | 2 | 0.0%
| |
| 00113 | 1 | 0.0%
| |
| 00115 | 1 | 0.0%
| |
| 00119 | 2 | 0.0%
| |
| 00120 | 1 | 0.0%
| |
| 00125 | 1 | 0.0%
| |
| 00130 | 1 | 0.0%
| |
| 00140 | 2 | 0.0%
| |
| 00142 | 1 | 0.0%
| |
| 00150 | 1 | 0.0%
| |
| 00163 | 2 | 0.0%
| |
| 00180 | 1 | 0.0%
| |
| 00192 | 1 | 0.0%
| |
| 00200 | 1 | 0.0%
| |
| 00219 | 1 | 0.0%
| |
| 00420 | 1 | 0.0%
| |
| 00689 | 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.