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    Home / Central Data Catalog / IDDI-IND-MOSPI-4-EC-1998 / variable [F64]
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
773629
Downloads
16588
  • 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: 25 UP

Overview

Valid: 2827513
Invalid: 0
Type: Discrete
Start: 97
End: 101
Width: 5
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
00000 2764285
97.8%
00001 24830
0.9%
00002 14727
0.5%
00003 6051
0.2%
00004 3835
0.1%
00005 3107
0.1%
00006 1629
0.1%
00007 899
0%
00008 948
0%
00009 375
0%
00010 1580
0.1%
00011 218
0%
00012 436
0%
00013 132
0%
00014 160
0%
00015 716
0%
00016 139
0%
00017 97
0%
00018 156
0%
00019 67
0%
00020 809
0%
00021 54
0%
00022 84
0%
00023 50
0%
00024 53
0%
00025 366
0%
00026 43
0%
00027 47
0%
00028 65
0%
00029 25
0%
00030 363
0%
00031 21
0%
00032 34
0%
00033 20
0%
00034 13
0%
00035 127
0%
00036 21
0%
00037 23
0%
00038 27
0%
00039 13
0%
00040 211
0%
00041 8
0%
00042 14
0%
00043 13
0%
00044 9
0%
00045 37
0%
00046 8
0%
00047 5
0%
00048 12
0%
00049 7
0%
00050 183
0%
00051 6
0%
00052 7
0%
00053 2
0%
00054 3
0%
00055 18
0%
00056 1
0%
00057 3
0%
00058 6
0%
00059 1
0%
00060 41
0%
00061 1
0%
00062 2
0%
00063 1
0%
00064 4
0%
00065 15
0%
00066 1
0%
00067 1
0%
00068 2
0%
00069 3
0%
00070 16
0%
00071 1
0%
00072 5
0%
00073 3
0%
00074 1
0%
00075 16
0%
00076 1
0%
00077 1
0%
00079 1
0%
00080 17
0%
00081 2
0%
00082 3
0%
00084 1
0%
00085 5
0%
00088 1
0%
00089 1
0%
00090 13
0%
00091 2
0%
00093 2
0%
00094 1
0%
00095 3
0%
00096 1
0%
00097 2
0%
00098 2
0%
00099 1
0%
00100 35
0%
00102 1
0%
00103 1
0%
00105 3
0%
00106 1
0%
00110 4
0%
00111 1
0%
00112 1
0%
00115 4
0%
00120 6
0%
00122 1
0%
00124 1
0%
00125 4
0%
00126 1
0%
00127 1
0%
00128 1
0%
00135 1
0%
00140 3
0%
00141 1
0%
00147 1
0%
00148 1
0%
00150 13
0%
00152 1
0%
00158 1
0%
00166 1
0%
00170 3
0%
00180 1
0%
00183 1
0%
00192 1
0%
00199 1
0%
00200 14
0%
00205 4
0%
00215 1
0%
00225 2
0%
00231 1
0%
00238 1
0%
00250 1
0%
00267 1
0%
00300 2
0%
00310 1
0%
00322 1
0%
00370 2
0%
00383 1
0%
00391 1
0%
00435 1
0%
00500 3
0%
00542 1
0%
00550 1
0%
00725 1
0%
01000 2
0%
01220 1
0%
01500 1
0%
02500 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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