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    Home / Central Data Catalog / IDDI-IND-MOSPI-4-EC-1998 / variable [V2487]
central

Fourth Economic Census 1998

India
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Reference ID
IDDI-IND-MOSPI-4-EC-1998
Producer(s)
Central Statistical Organisation(CSO)
Collections
Economic Census
Metadata
DDI/XML JSON
Created on
Jan 16, 2018
Last modified
Mar 29, 2019
Page views
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  • 02 Andhra
    Pradesh
  • 04 Assam
  • 05 Bihar
  • 03 Arunachal
    Pradesh
  • 06 Goa
  • 07 Gujarat
  • 08 Haryana
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  • 12 Kerala
  • 13 Madhya
    Pradesh
  • 11 Karnataka
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  • 17 Mizoram
  • 18 Nagaland
  • 19 Orissa
  • 20 Punjab
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  • 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
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  • 36 Uttaranchal
  • 21 Rajsthan

TOTAL ADULT FEMALE (T_ADULT_F)

Data file: 18 Nagaland

Overview

Valid: 29534
Invalid: 0
Type: Discrete
Start: 72
End: 76
Width: 5
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
00000 17900
60.6%
00001 6835
23.1%
00002 2076
7%
00003 771
2.6%
00004 471
1.6%
00005 448
1.5%
00006 186
0.6%
00007 160
0.5%
00008 120
0.4%
00009 99
0.3%
00010 100
0.3%
00011 47
0.2%
00012 41
0.1%
00013 19
0.1%
00014 20
0.1%
00015 25
0.1%
00016 11
0%
00017 7
0%
00018 15
0.1%
00019 9
0%
00020 22
0.1%
00021 7
0%
00022 2
0%
00023 2
0%
00024 6
0%
00025 7
0%
00026 2
0%
00027 5
0%
00028 4
0%
00029 2
0%
00030 8
0%
00031 3
0%
00032 4
0%
00033 4
0%
00034 2
0%
00035 4
0%
00036 2
0%
00038 3
0%
00039 3
0%
00040 2
0%
00041 2
0%
00042 2
0%
00043 1
0%
00044 1
0%
00045 1
0%
00046 3
0%
00047 1
0%
00048 2
0%
00049 2
0%
00050 2
0%
00051 3
0%
00052 1
0%
00055 1
0%
00056 1
0%
00057 2
0%
00058 1
0%
00059 1
0%
00060 2
0%
00061 1
0%
00062 1
0%
00063 1
0%
00065 3
0%
00066 2
0%
00069 3
0%
00070 1
0%
00074 1
0%
00078 3
0%
00080 1
0%
00084 2
0%
00085 2
0%
00086 2
0%
00087 3
0%
00089 2
0%
00095 1
0%
00100 1
0%
00103 1
0%
00105 2
0%
00107 2
0%
00115 2
0%
00138 1
0%
00142 1
0%
00146 1
0%
00150 1
0%
00154 1
0%
00155 1
0%
00160 1
0%
00195 1
0%
00197 1
0%
00200 1
0%
00297 1
0%
00510 1
0%
01000 1
0%
01855 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.
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