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    Home / Central Data Catalog / IDDI-IND-MOSPI-4-EC-1998 / variable [V3215]
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
776878
Downloads
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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

TOTAL OF HIRED (T_HIRED)

Data file: 36 Uttaranchal

Overview

Valid: 215498
Invalid: 0
Type: Discrete
Start: 112
End: 116
Width: 5
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
00000 151977
70.5%
00001 25773
12%
00002 15397
7.1%
00003 6608
3.1%
00004 3909
1.8%
00005 2598
1.2%
00006 1617
0.8%
00007 962
0.4%
00008 844
0.4%
00009 558
0.3%
00010 697
0.3%
00011 324
0.2%
00012 391
0.2%
00013 227
0.1%
00014 260
0.1%
00015 319
0.1%
00016 209
0.1%
00017 174
0.1%
00018 158
0.1%
00019 131
0.1%
00020 207
0.1%
00021 97
0%
00022 118
0.1%
00023 89
0%
00024 93
0%
00025 163
0.1%
00026 74
0%
00027 64
0%
00028 62
0%
00029 60
0%
00030 92
0%
00031 40
0%
00032 70
0%
00033 38
0%
00034 41
0%
00035 62
0%
00036 36
0%
00037 33
0%
00038 24
0%
00039 22
0%
00040 71
0%
00041 27
0%
00042 26
0%
00043 15
0%
00044 17
0%
00045 31
0%
00046 15
0%
00047 16
0%
00048 18
0%
00049 15
0%
00050 39
0%
00051 13
0%
00052 15
0%
00053 11
0%
00054 10
0%
00055 15
0%
00056 11
0%
00057 4
0%
00058 11
0%
00059 10
0%
00060 29
0%
00061 5
0%
00062 5
0%
00063 10
0%
00064 9
0%
00065 14
0%
00066 4
0%
00067 4
0%
00068 5
0%
00069 9
0%
00070 15
0%
00071 9
0%
00072 7
0%
00073 4
0%
00074 3
0%
00075 7
0%
00076 3
0%
00077 5
0%
00078 1
0%
00079 4
0%
00080 12
0%
00081 3
0%
00082 1
0%
00083 5
0%
00084 1
0%
00085 4
0%
00086 5
0%
00088 2
0%
00089 1
0%
00090 9
0%
00091 1
0%
00092 3
0%
00094 2
0%
00095 5
0%
00096 2
0%
00097 3
0%
00098 4
0%
00099 7
0%
00100 11
0%
00101 3
0%
00102 6
0%
00103 4
0%
00104 2
0%
00105 3
0%
00106 5
0%
00108 2
0%
00109 3
0%
00110 4
0%
00111 1
0%
00113 3
0%
00114 3
0%
00115 2
0%
00116 4
0%
00117 1
0%
00118 1
0%
00119 1
0%
00120 6
0%
00121 1
0%
00122 2
0%
00123 2
0%
00124 3
0%
00125 4
0%
00126 2
0%
00128 1
0%
00130 2
0%
00131 1
0%
00132 3
0%
00133 1
0%
00135 2
0%
00136 1
0%
00138 3
0%
00139 1
0%
00140 2
0%
00141 1
0%
00144 1
0%
00145 2
0%
00146 2
0%
00147 5
0%
00149 3
0%
00150 9
0%
00151 2
0%
00152 2
0%
00155 2
0%
00156 1
0%
00157 1
0%
00158 3
0%
00160 2
0%
00161 5
0%
00163 2
0%
00164 1
0%
00165 3
0%
00166 1
0%
00167 3
0%
00170 1
0%
00171 1
0%
00172 2
0%
00175 3
0%
00176 1
0%
00177 2
0%
00179 1
0%
00180 2
0%
00182 2
0%
00183 3
0%
00190 5
0%
00193 3
0%
00194 1
0%
00195 2
0%
00199 1
0%
00200 4
0%
00203 1
0%
00205 1
0%
00206 1
0%
00207 1
0%
00208 2
0%
00213 1
0%
00215 2
0%
00217 1
0%
00218 2
0%
00219 1
0%
00222 1
0%
00223 1
0%
00224 1
0%
00226 1
0%
00233 1
0%
00234 1
0%
00239 1
0%
00240 1
0%
00242 1
0%
00244 1
0%
00249 1
0%
00250 2
0%
00253 1
0%
00262 1
0%
00266 1
0%
00272 1
0%
00282 1
0%
00283 2
0%
00284 1
0%
00292 1
0%
00294 1
0%
00296 1
0%
00298 1
0%
00300 1
0%
00307 2
0%
00308 2
0%
00336 1
0%
00337 1
0%
00346 1
0%
00368 1
0%
00373 1
0%
00380 2
0%
00394 1
0%
00400 2
0%
00401 1
0%
00402 1
0%
00408 1
0%
00428 1
0%
00467 1
0%
00472 1
0%
00500 1
0%
00504 1
0%
00505 1
0%
00515 1
0%
00540 1
0%
00597 1
0%
00599 2
0%
00702 1
0%
00718 1
0%
00750 1
0%
00824 1
0%
00924 1
0%
00936 1
0%
00938 1
0%
00997 1
0%
01027 1
0%
01029 1
0%
01036 1
0%
01250 1
0%
01260 1
0%
01300 1
0%
01320 1
0%
01326 1
0%
01338 1
0%
01838 1
0%
02324 1
0%
10764 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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