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    Home / Central Data Catalog / IDDI-IND-MOSPI-4-EC-1998 / variable [V2732]
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
770442
Downloads
16569
  • Study Description
  • Data Dictionary
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  • Data files
  • 02 Andhra
    Pradesh
  • 04 Assam
  • 05 Bihar
  • 03 Arunachal
    Pradesh
  • 06 Goa
  • 07 Gujarat
  • 08 Haryana
  • 09 HP
  • 10 J&K
  • 12 Kerala
  • 13 Madhya
    Pradesh
  • 11 Karnataka
  • 14 Maharashtra
  • 15 Manipur
  • 16 Meghalaya
  • 17 Mizoram
  • 18 Nagaland
  • 19 Orissa
  • 20 Punjab
  • 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
  • 21 Rajsthan

HIRED ADULT FEMALE (H_ADULT_F)

Data file: 24 Tripura

Overview

Valid: 104427
Invalid: 0
Type: Discrete
Start: 97
End: 101
Width: 5
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
00000 97614
93.5%
00001 2032
1.9%
00002 2445
2.3%
00003 711
0.7%
00004 363
0.3%
00005 249
0.2%
00006 150
0.1%
00007 120
0.1%
00008 106
0.1%
00009 64
0.1%
00010 72
0.1%
00011 28
0%
00012 39
0%
00013 28
0%
00014 26
0%
00015 34
0%
00016 21
0%
00017 14
0%
00018 20
0%
00019 19
0%
00020 27
0%
00021 11
0%
00022 9
0%
00023 9
0%
00024 10
0%
00025 32
0%
00026 7
0%
00027 5
0%
00028 7
0%
00029 10
0%
00030 19
0%
00031 2
0%
00032 12
0%
00033 6
0%
00034 3
0%
00035 9
0%
00036 4
0%
00037 2
0%
00038 4
0%
00039 2
0%
00040 9
0%
00041 3
0%
00042 1
0%
00044 1
0%
00045 5
0%
00046 2
0%
00049 1
0%
00050 9
0%
00051 2
0%
00052 1
0%
00054 3
0%
00055 1
0%
00056 2
0%
00057 1
0%
00058 1
0%
00059 1
0%
00060 4
0%
00061 1
0%
00064 1
0%
00066 1
0%
00067 3
0%
00068 1
0%
00069 1
0%
00070 2
0%
00072 1
0%
00075 2
0%
00078 1
0%
00080 2
0%
00081 2
0%
00084 1
0%
00087 2
0%
00088 1
0%
00089 1
0%
00095 1
0%
00097 1
0%
00098 1
0%
00099 1
0%
00100 2
0%
00105 1
0%
00200 1
0%
00327 1
0%
00407 1
0%
00418 1
0%
00450 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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