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    Home / Central Data Catalog / IDDI-IND-MOSPI-4-EC-1998 / variable [F75]
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
776954
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  • 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 MALE (H_ADULT_M)

Data file: 36 Uttaranchal

Overview

Valid: 215498
Invalid: 0
Type: Discrete
Start: 92
End: 96
Width: 5
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
00000 155554
72.2%
00001 27741
12.9%
00002 13249
6.1%
00003 5747
2.7%
00004 3388
1.6%
00005 2198
1%
00006 1323
0.6%
00007 713
0.3%
00008 715
0.3%
00009 429
0.2%
00010 609
0.3%
00011 235
0.1%
00012 328
0.2%
00013 180
0.1%
00014 209
0.1%
00015 318
0.1%
00016 166
0.1%
00017 129
0.1%
00018 139
0.1%
00019 92
0%
00020 216
0.1%
00021 73
0%
00022 110
0.1%
00023 75
0%
00024 78
0%
00025 147
0.1%
00026 58
0%
00027 46
0%
00028 60
0%
00029 54
0%
00030 99
0%
00031 36
0%
00032 41
0%
00033 34
0%
00034 38
0%
00035 56
0%
00036 27
0%
00037 26
0%
00038 22
0%
00039 19
0%
00040 58
0%
00041 18
0%
00042 13
0%
00043 12
0%
00044 9
0%
00045 27
0%
00046 9
0%
00047 8
0%
00048 17
0%
00049 15
0%
00050 43
0%
00051 6
0%
00052 11
0%
00053 6
0%
00054 11
0%
00055 12
0%
00056 5
0%
00057 6
0%
00058 10
0%
00059 8
0%
00060 22
0%
00061 4
0%
00062 7
0%
00063 7
0%
00064 6
0%
00065 11
0%
00066 8
0%
00067 6
0%
00068 4
0%
00069 7
0%
00070 14
0%
00071 1
0%
00072 5
0%
00073 2
0%
00074 4
0%
00075 4
0%
00076 2
0%
00077 2
0%
00078 2
0%
00079 3
0%
00080 18
0%
00081 2
0%
00083 2
0%
00085 6
0%
00086 1
0%
00087 1
0%
00088 2
0%
00089 1
0%
00090 7
0%
00091 2
0%
00092 2
0%
00093 3
0%
00094 4
0%
00095 4
0%
00096 4
0%
00097 5
0%
00098 5
0%
00099 6
0%
00100 5
0%
00101 3
0%
00102 4
0%
00103 1
0%
00105 2
0%
00106 2
0%
00107 1
0%
00108 2
0%
00110 6
0%
00111 2
0%
00113 1
0%
00114 2
0%
00115 1
0%
00117 1
0%
00118 2
0%
00119 2
0%
00120 5
0%
00121 1
0%
00122 1
0%
00123 1
0%
00124 1
0%
00125 3
0%
00126 1
0%
00128 1
0%
00129 2
0%
00130 7
0%
00132 4
0%
00133 2
0%
00135 3
0%
00138 2
0%
00139 1
0%
00140 7
0%
00142 1
0%
00143 1
0%
00144 1
0%
00145 1
0%
00146 2
0%
00148 2
0%
00149 2
0%
00150 7
0%
00151 2
0%
00152 1
0%
00155 1
0%
00156 1
0%
00157 4
0%
00158 2
0%
00159 2
0%
00160 3
0%
00162 3
0%
00163 1
0%
00164 3
0%
00166 2
0%
00167 2
0%
00168 1
0%
00170 3
0%
00172 1
0%
00175 1
0%
00177 1
0%
00178 2
0%
00180 4
0%
00185 1
0%
00187 1
0%
00190 4
0%
00200 2
0%
00202 1
0%
00203 2
0%
00204 1
0%
00205 1
0%
00209 2
0%
00210 1
0%
00211 1
0%
00217 1
0%
00218 1
0%
00220 1
0%
00221 1
0%
00224 1
0%
00228 1
0%
00229 1
0%
00234 1
0%
00236 1
0%
00240 1
0%
00247 1
0%
00250 1
0%
00254 1
0%
00262 1
0%
00263 1
0%
00266 1
0%
00270 1
0%
00273 1
0%
00275 1
0%
00282 1
0%
00286 3
0%
00287 1
0%
00300 2
0%
00317 1
0%
00330 1
0%
00332 1
0%
00338 1
0%
00350 3
0%
00352 1
0%
00355 1
0%
00373 1
0%
00380 1
0%
00381 1
0%
00387 1
0%
00400 2
0%
00403 1
0%
00466 1
0%
00475 1
0%
00477 1
0%
00500 1
0%
00565 1
0%
00599 1
0%
00636 1
0%
00700 1
0%
00702 1
0%
00804 1
0%
00824 1
0%
00910 1
0%
00930 1
0%
00938 1
0%
00981 1
0%
00995 1
0%
01006 1
0%
01015 1
0%
01200 1
0%
01260 1
0%
01300 1
0%
01314 1
0%
01320 1
0%
01818 1
0%
02024 1
0%
10469 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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