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    Home / Central Data Catalog / IDDI-IND-MOSPI-4-EC-1998 / variable [F57]
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
768471
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: 18 Nagaland

Overview

Valid: 29534
Invalid: 0
Type: Discrete
Start: 92
End: 96
Width: 5
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
00000 14654
49.6%
00001 5721
19.4%
00002 3507
11.9%
00003 1734
5.9%
00004 1064
3.6%
00005 609
2.1%
00006 389
1.3%
00007 230
0.8%
00008 217
0.7%
00009 152
0.5%
00010 218
0.7%
00011 93
0.3%
00012 114
0.4%
00013 58
0.2%
00014 63
0.2%
00015 111
0.4%
00016 36
0.1%
00017 28
0.1%
00018 36
0.1%
00019 21
0.1%
00020 45
0.2%
00021 26
0.1%
00022 15
0.1%
00023 20
0.1%
00024 14
0%
00025 35
0.1%
00026 10
0%
00027 14
0%
00028 11
0%
00029 10
0%
00030 15
0.1%
00031 9
0%
00032 5
0%
00033 7
0%
00034 1
0%
00035 11
0%
00036 6
0%
00037 5
0%
00038 4
0%
00039 3
0%
00040 10
0%
00041 4
0%
00042 2
0%
00043 2
0%
00044 1
0%
00045 10
0%
00046 1
0%
00047 2
0%
00048 2
0%
00049 2
0%
00050 6
0%
00053 2
0%
00054 1
0%
00055 2
0%
00056 2
0%
00057 2
0%
00058 1
0%
00059 1
0%
00060 2
0%
00061 1
0%
00062 2
0%
00063 2
0%
00064 3
0%
00066 2
0%
00067 1
0%
00068 1
0%
00069 1
0%
00072 1
0%
00073 3
0%
00074 2
0%
00075 6
0%
00080 1
0%
00081 1
0%
00085 2
0%
00086 3
0%
00087 2
0%
00088 2
0%
00089 3
0%
00093 3
0%
00094 1
0%
00095 1
0%
00096 2
0%
00097 5
0%
00099 1
0%
00100 1
0%
00101 1
0%
00102 2
0%
00104 1
0%
00105 4
0%
00106 2
0%
00107 1
0%
00108 1
0%
00109 1
0%
00110 1
0%
00112 3
0%
00114 2
0%
00115 5
0%
00116 3
0%
00118 2
0%
00120 2
0%
00121 1
0%
00126 2
0%
00127 1
0%
00130 2
0%
00136 2
0%
00137 1
0%
00140 1
0%
00143 1
0%
00146 1
0%
00150 4
0%
00156 3
0%
00158 1
0%
00169 1
0%
00173 1
0%
00174 1
0%
00180 1
0%
00184 1
0%
00185 1
0%
00189 2
0%
00197 1
0%
00200 2
0%
00202 1
0%
00206 1
0%
00209 1
0%
00215 1
0%
00250 3
0%
00295 1
0%
00296 1
0%
00300 2
0%
00305 1
0%
00311 1
0%
00315 1
0%
00340 1
0%
00360 1
0%
00364 2
0%
00387 1
0%
00440 1
0%
00456 1
0%
00509 1
0%
00575 1
0%
00600 1
0%
00750 1
0%
00800 1
0%
00974 1
0%
01026 1
0%
01115 1
0%
01120 1
0%
01150 1
0%
01155 1
0%
01205 1
0%
01210 2
0%
01418 1
0%
01585 1
0%
01815 1
0%
01996 1
0%
02012 1
0%
02211 1
0%
02530 1
0%
06257 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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