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
681677
- 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: 05 Bihar
File: 05 Bihar
Overview
Type:
Discrete Format: character Width: 5 | Valid cases: 1043864 Invalid: 0 |
Value | Category | Cases | |
---|---|---|---|
00000 | 910143 | 87.2% | |
00001 | 105908 | 10.1% | |
00002 | 18159 | 1.7% | |
00003 | 3551 | 0.3% | |
00004 | 1778 | 0.2% | |
00005 | 1136 | 0.1% | |
00006 | 601 | 0.1% | |
00007 | 293 | 0.0% | |
00008 | 344 | 0.0% | |
00009 | 128 | 0.0% | |
00010 | 441 | 0.0% | |
00011 | 63 | 0.0% | |
00012 | 116 | 0.0% | |
00013 | 44 | 0.0% | |
00014 | 29 | 0.0% | |
00015 | 153 | 0.0% | |
00016 | 42 | 0.0% | |
00017 | 24 | 0.0% | |
00018 | 30 | 0.0% | |
00019 | 15 | 0.0% | |
00020 | 178 | 0.0% | |
00021 | 23 | 0.0% | |
00022 | 24 | 0.0% | |
00023 | 14 | 0.0% | |
00024 | 7 | 0.0% | |
00025 | 125 | 0.0% | |
00026 | 15 | 0.0% | |
00027 | 4 | 0.0% | |
00028 | 11 | 0.0% | |
00029 | 5 | 0.0% | |
00030 | 66 | 0.0% | |
00031 | 12 | 0.0% | |
00032 | 11 | 0.0% | |
00033 | 3 | 0.0% | |
00034 | 3 | 0.0% | |
00035 | 23 | 0.0% | |
00036 | 5 | 0.0% | |
00037 | 2 | 0.0% | |
00038 | 4 | 0.0% | |
00039 | 1 | 0.0% | |
00040 | 54 | 0.0% | |
00041 | 2 | 0.0% | |
00042 | 8 | 0.0% | |
00043 | 4 | 0.0% | |
00044 | 1 | 0.0% | |
00045 | 14 | 0.0% | |
00046 | 1 | 0.0% | |
00047 | 1 | 0.0% | |
00048 | 3 | 0.0% | |
00050 | 43 | 0.0% | |
00051 | 13 | 0.0% | |
00052 | 4 | 0.0% | |
00054 | 4 | 0.0% | |
00055 | 8 | 0.0% | |
00056 | 1 | 0.0% | |
00059 | 1 | 0.0% | |
00060 | 29 | 0.0% | |
00061 | 10 | 0.0% | |
00064 | 1 | 0.0% | |
00065 | 13 | 0.0% | |
00066 | 2 | 0.0% | |
00068 | 2 | 0.0% | |
00070 | 14 | 0.0% | |
00071 | 1 | 0.0% | |
00073 | 1 | 0.0% | |
00075 | 2 | 0.0% | |
00078 | 2 | 0.0% | |
00079 | 1 | 0.0% | |
00080 | 12 | 0.0% | |
00081 | 1 | 0.0% | |
00082 | 1 | 0.0% | |
00083 | 1 | 0.0% | |
00084 | 1 | 0.0% | |
00088 | 1 | 0.0% | |
00090 | 15 | 0.0% | |
00091 | 4 | 0.0% | |
00094 | 1 | 0.0% | |
00095 | 4 | 0.0% | |
00098 | 2 | 0.0% | |
00099 | 1 | 0.0% | |
00100 | 7 | 0.0% | |
00101 | 1 | 0.0% | |
00102 | 1 | 0.0% | |
00104 | 1 | 0.0% | |
00105 | 2 | 0.0% | |
00110 | 2 | 0.0% | |
00111 | 2 | 0.0% | |
00113 | 1 | 0.0% | |
00121 | 1 | 0.0% | |
00124 | 1 | 0.0% | |
00125 | 1 | 0.0% | |
00140 | 3 | 0.0% | |
00141 | 1 | 0.0% | |
00150 | 2 | 0.0% | |
00156 | 1 | 0.0% | |
00165 | 1 | 0.0% | |
00190 | 1 | 0.0% | |
00200 | 2 | 0.0% | |
00209 | 2 | 0.0% | |
00213 | 1 | 0.0% | |
00236 | 1 | 0.0% | |
00264 | 1 | 0.0% | |
00270 | 1 | 0.0% | |
00277 | 1 | 0.0% | |
00300 | 1 | 0.0% | |
00326 | 1 | 0.0% | |
00500 | 2 | 0.0% | |
00750 | 1 | 0.0% | |
00908 | 1 | 0.0% | |
01000 | 1 | 0.0% | |
01200 | 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.