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    Home / Central Data Catalog / IDDI-IND-MOSPI-4-EC-1998 / variable [V2292]
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
768724
Downloads
16511
  • 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: 11 Karnataka

Overview

Valid: 1911631
Invalid: 0
Type: Discrete
Start: 97
End: 101
Width: 5
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
0 1
0%
00000 1666375
87.2%
00001 121005
6.3%
00002 71200
3.7%
00003 19183
1%
00004 10876
0.6%
00005 6440
0.3%
00006 4112
0.2%
00007 1754
0.1%
00008 2256
0.1%
00009 915
0%
00010 2042
0.1%
00011 383
0%
00012 639
0%
00013 287
0%
00014 289
0%
00015 621
0%
00016 241
0%
00017 121
0%
00018 182
0%
00019 101
0%
00020 546
0%
00021 71
0%
00022 77
0%
00023 61
0%
00024 82
0%
00025 218
0%
00026 41
0%
00027 35
0%
00028 51
0%
00029 41
0%
00030 177
0%
00031 28
0%
00032 39
0%
00033 11
0%
00034 27
0%
00035 74
0%
00036 30
0%
00037 9
0%
00038 18
0%
00039 19
0%
00040 98
0%
00041 11
0%
00042 14
0%
00043 10
0%
00044 10
0%
00045 64
0%
00046 9
0%
00047 7
0%
00048 4
0%
00049 7
0%
00050 84
0%
00051 11
0%
00052 11
0%
00053 5
0%
00054 8
0%
00055 12
0%
00056 5
0%
00057 4
0%
00058 2
0%
00059 2
0%
00060 32
0%
00061 4
0%
00062 8
0%
00063 5
0%
00064 6
0%
00065 10
0%
00066 4
0%
00067 3
0%
00069 7
0%
00070 29
0%
00071 4
0%
00072 5
0%
00073 5
0%
00074 6
0%
00075 57
0%
00076 1
0%
00077 1
0%
00078 1
0%
00079 2
0%
00080 19
0%
00081 3
0%
00082 2
0%
00083 2
0%
00084 3
0%
00085 9
0%
00086 2
0%
00087 3
0%
00088 4
0%
00090 16
0%
00092 2
0%
00093 2
0%
00094 4
0%
00095 6
0%
00096 2
0%
00097 3
0%
00098 5
0%
00099 3
0%
00100 36
0%
00101 1
0%
00102 3
0%
00104 2
0%
00105 2
0%
00106 1
0%
00107 4
0%
00108 3
0%
00109 2
0%
00110 7
0%
00111 2
0%
00112 3
0%
00114 1
0%
00115 3
0%
00117 1
0%
00118 1
0%
00120 10
0%
00122 1
0%
00124 2
0%
00125 4
0%
00129 1
0%
00130 4
0%
00131 2
0%
00132 2
0%
00133 1
0%
00134 1
0%
00135 1
0%
00136 1
0%
00140 2
0%
00141 1
0%
00144 2
0%
00145 1
0%
00146 2
0%
00148 1
0%
00149 2
0%
00150 14
0%
00152 2
0%
00153 1
0%
00154 1
0%
00156 2
0%
00158 1
0%
00160 5
0%
00162 1
0%
00163 1
0%
00166 1
0%
00168 1
0%
00170 1
0%
00174 1
0%
00175 4
0%
00180 5
0%
00181 1
0%
00183 1
0%
00185 2
0%
00190 1
0%
00193 1
0%
00196 1
0%
00197 1
0%
00200 37
0%
00211 1
0%
00218 1
0%
00220 1
0%
00221 1
0%
00225 1
0%
00228 1
0%
00229 2
0%
00230 2
0%
00231 1
0%
00234 1
0%
00238 1
0%
00240 2
0%
00250 3
0%
00258 1
0%
00260 1
0%
00265 1
0%
00270 2
0%
00274 1
0%
00275 1
0%
00280 1
0%
00283 1
0%
00285 1
0%
00286 1
0%
00290 1
0%
00295 1
0%
00296 1
0%
00298 1
0%
00300 9
0%
00303 1
0%
00305 1
0%
00312 1
0%
00315 1
0%
00316 1
0%
00320 2
0%
00338 1
0%
00350 5
0%
00374 1
0%
00376 1
0%
00380 3
0%
00399 1
0%
00400 8
0%
00410 1
0%
00425 1
0%
00430 1
0%
00449 1
0%
00500 5
0%
00533 1
0%
00600 1
0%
00631 1
0%
00770 1
0%
00800 1
0%
00827 1
0%
00900 2
0%
00972 1
0%
00976 1
0%
01000 1
0%
01200 1
0%
01220 1
0%
01500 1
0%
01572 1
0%
01800 1
0%
02053 1
0%
02100 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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