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    Home / Central Data Catalog / IDDI-IND-MOSPI-4-EC-1998 / variable [V1851]
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
769097
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

HIRED ADULT MALE (H_ADULT_M)

Data file: 03 Arunachal Pradesh

Overview

Valid: 20694
Invalid: 0
Type: Discrete
Start: 92
End: 96
Width: 5
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
00000 10675
51.6%
00001 4068
19.7%
00002 2237
10.8%
00003 906
4.4%
00004 542
2.6%
00005 405
2%
00006 257
1.2%
00007 184
0.9%
00008 204
1%
00009 125
0.6%
00010 152
0.7%
00011 64
0.3%
00012 95
0.5%
00013 45
0.2%
00014 71
0.3%
00015 72
0.3%
00016 60
0.3%
00017 25
0.1%
00018 38
0.2%
00019 29
0.1%
00020 50
0.2%
00021 13
0.1%
00022 25
0.1%
00023 18
0.1%
00024 22
0.1%
00025 20
0.1%
00026 14
0.1%
00027 13
0.1%
00028 11
0.1%
00029 8
0%
00030 22
0.1%
00031 9
0%
00032 9
0%
00033 3
0%
00034 6
0%
00035 8
0%
00036 5
0%
00037 7
0%
00038 8
0%
00039 8
0%
00040 14
0.1%
00041 2
0%
00042 5
0%
00043 3
0%
00044 3
0%
00045 2
0%
00046 3
0%
00047 2
0%
00048 4
0%
00049 3
0%
00050 6
0%
00051 3
0%
00052 3
0%
00053 7
0%
00054 3
0%
00055 5
0%
00056 2
0%
00057 1
0%
00058 1
0%
00059 1
0%
00060 6
0%
00061 1
0%
00063 4
0%
00064 2
0%
00065 1
0%
00066 2
0%
00068 3
0%
00070 2
0%
00074 1
0%
00075 2
0%
00077 1
0%
00078 2
0%
00079 2
0%
00080 4
0%
00081 1
0%
00082 2
0%
00083 1
0%
00084 2
0%
00085 4
0%
00086 1
0%
00088 1
0%
00090 3
0%
00091 1
0%
00095 2
0%
00100 2
0%
00102 1
0%
00103 1
0%
00112 1
0%
00118 2
0%
00120 3
0%
00125 1
0%
00126 1
0%
00132 1
0%
00135 2
0%
00143 1
0%
00150 3
0%
00151 1
0%
00166 1
0%
00173 1
0%
00181 1
0%
00194 1
0%
00198 1
0%
00200 3
0%
00221 1
0%
00224 1
0%
00249 1
0%
00250 1
0%
00256 1
0%
00261 1
0%
00264 1
0%
00300 1
0%
00348 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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