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    Home / Central Data Catalog / IDDI-IND-MOSPI-4-EC-1998 / variable [V2651]
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
777731
Downloads
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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: 22 Sikkim

Overview

Valid: 13059
Invalid: 0
Type: Discrete
Start: 92
End: 96
Width: 5
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
00000 6089
46.6%
00001 3176
24.3%
00002 1736
13.3%
00003 539
4.1%
00004 381
2.9%
00005 250
1.9%
00006 176
1.3%
00007 95
0.7%
00008 103
0.8%
00009 61
0.5%
00010 53
0.4%
00011 43
0.3%
00012 47
0.4%
00013 28
0.2%
00014 20
0.2%
00015 26
0.2%
00016 19
0.1%
00017 17
0.1%
00018 15
0.1%
00019 4
0%
00020 18
0.1%
00021 7
0.1%
00022 7
0.1%
00023 11
0.1%
00024 4
0%
00025 18
0.1%
00026 6
0%
00027 3
0%
00028 1
0%
00029 2
0%
00030 9
0.1%
00031 5
0%
00032 5
0%
00033 4
0%
00035 5
0%
00036 3
0%
00038 2
0%
00039 3
0%
00040 4
0%
00041 2
0%
00042 1
0%
00043 1
0%
00044 2
0%
00045 2
0%
00046 1
0%
00047 2
0%
00049 1
0%
00050 7
0.1%
00051 1
0%
00052 1
0%
00053 3
0%
00054 1
0%
00057 1
0%
00059 3
0%
00060 2
0%
00062 2
0%
00063 2
0%
00064 3
0%
00065 1
0%
00068 3
0%
00069 2
0%
00072 2
0%
00073 2
0%
00088 1
0%
00089 1
0%
00092 1
0%
00095 1
0%
00100 1
0%
00105 1
0%
00111 1
0%
00128 1
0%
00135 1
0%
00143 1
0%
00160 1
0%
00196 1
0%
00275 1
0%
00285 1
0%
00380 2
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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