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    Home / Central Data Catalog / DATAFIRST / ZAF_1996_OHS_V01_M / variable [F11]
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October Household Survey 1996

South Africa, 1996
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Reference ID
ZAF_1996_OHS_v01_M
Producer(s)
Statistics South Africa
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jan 27, 2012
Last modified
May 01, 2014
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  • OHS 1996 Other
  • OHS 1996
    Domestic
  • OHS 1996 Flap
  • OHS 1996 Genpsu
  • OHS 1996 House
  • OHS 1996
    Births
  • OHS 1996
    Deaths
  • OHS 1996
    Hhold Income
    Other
  • OHS 1996
    Migrant
  • OHS 1996
    Person
  • OHS 1996
    Worker

eearning (eearning)

Data file: OHS 1996 Worker

Overview

Valid: 1113
Valid (weighted): 646365.841
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Start: 10
End: 15
Width: 6
Range: -
Format: character
Weighted variable: V366

Questions and instructions

Categories
Value Category Cases Weighted
000000 8 5100
0.8%
000001 1 845
0.1%
000002 1 473
0.1%
000003 2 841
0.1%
000004 1 365
0.1%
000005 4 2521
0.4%
000006 1 594
0.1%
000009 1 824
0.1%
000010 5 3049
0.5%
000015 6 2819
0.4%
000018 1 992
0.2%
000020 18 8391
1.3%
000022 2 1716
0.3%
000025 9 4957
0.8%
000030 12 5359
0.8%
000035 4 3092
0.5%
000037 1 315
0%
000038 1 568
0.1%
000039 1 836
0.1%
000040 15 8368
1.3%
000043 1 921
0.1%
000044 1 316
0%
000045 3 1863
0.3%
000048 1 556
0.1%
000050 50 23132
3.6%
000054 1 344
0.1%
000055 2 917
0.1%
000056 1 588
0.1%
000057 1 492
0.1%
000059 1 773
0.1%
000060 38 20690
3.2%
000062 1 544
0.1%
000068 1 330
0.1%
000069 2 737
0.1%
000070 10 4923
0.8%
000072 2 746
0.1%
000075 25 16326
2.5%
000076 2 1141
0.2%
000080 15 7394
1.1%
000082 1 312
0%
000085 3 1341
0.2%
000086 1 463
0.1%
000088 1 807
0.1%
000089 1 841
0.1%
000090 3 2169
0.3%
000094 2 1011
0.2%
000096 1 540
0.1%
000097 1 880
0.1%
000099 1 519
0.1%
000100 74 45890
7.1%
000105 1 941
0.1%
000110 4 2480
0.4%
000112 2 841
0.1%
000115 1 537
0.1%
000118 1 576
0.1%
000120 28 17500
2.7%
000122 1 558
0.1%
000125 4 2506
0.4%
000126 2 800
0.1%
000130 8 4231
0.7%
000134 2 806
0.1%
000140 6 4180
0.6%
000145 2 1209
0.2%
000150 74 41161
6.4%
000153 1 310
0%
000160 5 2087
0.3%
000165 2 814
0.1%
000170 2 899
0.1%
000172 2 1373
0.2%
000175 4 1729
0.3%
000178 1 481
0.1%
000180 16 9482
1.5%
000185 1 528
0.1%
000190 3 1588
0.2%
000195 1 542
0.1%
000200 75 40535
6.3%
000205 1 297
0%
000210 3 1831
0.3%
000217 1 403
0.1%
000220 1 427
0.1%
000223 1 880
0.1%
000225 7 4065
0.6%
000230 2 858
0.1%
000235 2 1002
0.2%
000239 1 250
0%
000240 5 3361
0.5%
000245 1 513
0.1%
000246 1 393
0.1%
000247 1 478
0.1%
000250 54 31657
4.9%
000260 6 3747
0.6%
000263 1 602
0.1%
000265 1 1278
0.2%
000270 6 3525
0.5%
000279 1 538
0.1%
000280 5 2718
0.4%
000289 1 538
0.1%
000291 1 483
0.1%
000296 1 236
0%
000300 52 32994
5.1%
000304 1 503
0.1%
000309 1 580
0.1%
000310 3 1689
0.3%
000319 1 839
0.1%
000320 2 1391
0.2%
000325 4 1545
0.2%
000330 1 452
0.1%
000340 2 996
0.2%
000344 1 859
0.1%
000346 1 369
0.1%
000350 21 13229
2%
000360 2 1544
0.2%
000375 4 2131
0.3%
000380 5 3067
0.5%
000381 1 473
0.1%
000390 1 459
0.1%
000399 1 730
0.1%
000400 32 24291
3.8%
000420 2 1578
0.2%
000430 1 365
0.1%
000450 8 4877
0.8%
000460 1 406
0.1%
000480 2 1309
0.2%
000490 3 2289
0.4%
000500 28 18184
2.8%
000525 1 556
0.1%
000550 2 3105
0.5%
000570 1 506
0.1%
000580 1 471
0.1%
000600 8 4678
0.7%
000605 1 561
0.1%
000645 1 790
0.1%
000650 2 859
0.1%
000670 1 502
0.1%
000680 1 727
0.1%
000700 5 2366
0.4%
000720 1 559
0.1%
000750 4 2814
0.4%
000800 9 5938
0.9%
000890 1 608
0.1%
000900 5 4028
0.6%
000950 1 699
0.1%
000999 2 945
0.1%
001000 9 3705
0.6%
001020 1 671
0.1%
001039 1 415
0.1%
001100 2 1518
0.2%
001153 1 1114
0.2%
001200 4 1958
0.3%
001250 1 499
0.1%
001280 1 536
0.1%
001400 1 739
0.1%
001500 10 6886
1.1%
001600 1 537
0.1%
001700 2 1263
0.2%
002000 7 3436
0.5%
002400 2 762
0.1%
002500 2 2846
0.4%
002600 1 602
0.1%
002800 1 926
0.1%
003000 2 1834
0.3%
003750 1 623
0.1%
004001 1 972
0.2%
005000 4 2699
0.4%
005042 1 393
0.1%
008400 1 401
0.1%
010000 1 639
0.1%
012000 1 257
0%
999999 132 73968
11.4%
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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