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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

eeothers (eeothers)

Data file: OHS 1996 Worker

Overview

Valid: 1164
Valid (weighted): 717454.94
Invalid: 0
Invalid (weighted): 0
Type: Discrete
Start: 79
End: 83
Width: 5
Range: -
Format: character
Weighted variable: V366

Questions and instructions

Categories
Value Category Cases Weighted
00000 204 109314
15.2%
00005 1 311
0%
00008 1 583
0.1%
00010 5 2881
0.4%
00012 2 918
0.1%
00014 1 349
0%
00015 5 2209
0.3%
00020 7 3438
0.5%
00025 1 179
0%
00030 7 3552
0.5%
00036 1 320
0%
00040 6 3263
0.5%
00050 27 14743
2.1%
00060 6 2672
0.4%
00065 2 1245
0.2%
00070 5 3166
0.4%
00072 1 478
0.1%
00075 1 511
0.1%
00080 4 2712
0.4%
00090 1 459
0.1%
00100 37 20903
2.9%
00120 6 3409
0.5%
00130 1 668
0.1%
00140 2 1833
0.3%
00150 13 6493
0.9%
00160 1 430
0.1%
00165 1 430
0.1%
00170 1 631
0.1%
00180 3 1484
0.2%
00200 39 25140
3.5%
00250 10 6228
0.9%
00260 1 370
0.1%
00300 18 11360
1.6%
00350 3 2716
0.4%
00400 24 15902
2.2%
00450 2 1472
0.2%
00500 41 26769
3.7%
00560 1 361
0.1%
00600 7 6795
0.9%
00650 1 1152
0.2%
00700 4 3261
0.5%
00750 1 478
0.1%
00800 7 3386
0.5%
00900 1 480
0.1%
01000 34 23323
3.3%
01200 4 2117
0.3%
01300 1 949
0.1%
01500 10 7043
1%
01999 1 377
0.1%
02000 20 11750
1.6%
02076 1 1265
0.2%
02500 1 799
0.1%
02600 1 199
0%
02752 1 476
0.1%
03000 4 3849
0.5%
03300 1 902
0.1%
04000 5 3552
0.5%
05000 10 7183
1%
06000 6 3680
0.5%
07000 3 1219
0.2%
08000 3 3737
0.5%
09000 1 987
0.1%
09999 1 960
0.1%
10000 11 6845
1%
10666 1 718
0.1%
11000 1 951
0.1%
12000 2 912
0.1%
15000 3 3831
0.5%
18000 1 1212
0.2%
20000 3 4832
0.7%
30000 2 1861
0.3%
35000 1 311
0%
40000 2 885
0.1%
50000 5 4428
0.6%
60000 1 1282
0.2%
90000 1 1314
0.2%
99999 509 318252
44.4%
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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