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    Home / Central Data Catalog / IDDI-IND-MOSPI-4-EC-1998 / variable [V1696]
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
769039
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  • 02 Andhra
    Pradesh
  • 04 Assam
  • 05 Bihar
  • 03 Arunachal
    Pradesh
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    Pradesh
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  • 18 Nagaland
  • 19 Orissa
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  • 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 FEMALE (H_ADULT_F)

Data file: 04 Assam

Overview

Valid: 593169
Invalid: 0
Type: Discrete
Start: 97
End: 101
Width: 5
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
00000 550831
92.9%
00001 17331
2.9%
00002 10145
1.7%
00003 4331
0.7%
00004 2772
0.5%
00005 2033
0.3%
00006 1067
0.2%
00007 673
0.1%
00008 499
0.1%
00009 291
0%
00010 694
0.1%
00011 192
0%
00012 268
0%
00013 119
0%
00014 91
0%
00015 244
0%
00016 77
0%
00017 52
0%
00018 79
0%
00019 42
0%
00020 222
0%
00021 38
0%
00022 43
0%
00023 22
0%
00024 31
0%
00025 92
0%
00026 22
0%
00027 22
0%
00028 17
0%
00029 13
0%
00030 134
0%
00031 18
0%
00032 15
0%
00033 15
0%
00034 10
0%
00035 33
0%
00036 7
0%
00037 5
0%
00038 8
0%
00039 8
0%
00040 96
0%
00041 5
0%
00042 7
0%
00043 8
0%
00044 4
0%
00045 20
0%
00046 5
0%
00047 4
0%
00048 5
0%
00049 13
0%
00050 111
0%
00051 4
0%
00052 3
0%
00053 3
0%
00054 2
0%
00055 15
0%
00056 9
0%
00057 1
0%
00058 1
0%
00059 2
0%
00060 23
0%
00061 2
0%
00062 2
0%
00064 2
0%
00065 2
0%
00066 1
0%
00067 2
0%
00068 3
0%
00069 3
0%
00070 11
0%
00071 2
0%
00074 2
0%
00075 6
0%
00076 1
0%
00078 1
0%
00080 13
0%
00082 2
0%
00085 3
0%
00086 2
0%
00087 2
0%
00090 4
0%
00092 1
0%
00095 3
0%
00096 1
0%
00098 2
0%
00100 13
0%
00101 1
0%
00102 1
0%
00104 1
0%
00105 1
0%
00106 1
0%
00110 2
0%
00119 1
0%
00120 1
0%
00123 1
0%
00126 1
0%
00127 2
0%
00128 1
0%
00130 2
0%
00131 1
0%
00136 1
0%
00140 1
0%
00142 1
0%
00148 1
0%
00150 10
0%
00155 1
0%
00158 1
0%
00160 2
0%
00173 1
0%
00175 1
0%
00179 1
0%
00182 1
0%
00189 1
0%
00194 1
0%
00195 1
0%
00200 7
0%
00205 1
0%
00206 1
0%
00209 1
0%
00219 1
0%
00220 2
0%
00222 1
0%
00225 1
0%
00226 1
0%
00230 1
0%
00235 1
0%
00238 1
0%
00240 1
0%
00242 1
0%
00249 1
0%
00250 5
0%
00258 1
0%
00274 1
0%
00286 1
0%
00293 1
0%
00295 1
0%
00300 6
0%
00306 1
0%
00322 1
0%
00324 1
0%
00330 1
0%
00332 1
0%
00333 1
0%
00334 1
0%
00337 1
0%
00339 1
0%
00343 2
0%
00350 2
0%
00360 1
0%
00375 1
0%
00384 1
0%
00385 1
0%
00400 2
0%
00420 1
0%
00450 1
0%
00460 1
0%
00469 1
0%
00485 1
0%
00496 1
0%
00500 2
0%
00508 1
0%
00511 1
0%
00512 1
0%
00530 1
0%
00533 1
0%
00545 1
0%
00555 1
0%
00573 1
0%
00576 1
0%
00596 1
0%
00600 2
0%
00610 1
0%
00616 1
0%
00625 1
0%
00650 1
0%
00676 1
0%
00677 1
0%
00757 1
0%
00792 1
0%
00800 1
0%
00828 1
0%
01000 2
0%
01064 1
0%
01070 1
0%
01251 1
0%
01279 1
0%
01500 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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