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    Home / Data Portal / STATSSA / ZAF-STATSSA-NHTS-2003-V1.1 / variable [F6]
StatsSA

National Household Travel Survey 2003

South Africa, 2003
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Reference ID
zaf-statssa-nhts-2003-v1.1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 10, 2016
Last modified
Aug 20, 2025
Page views
57246
Downloads
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  • Study Description
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  • Data files
  • nhts-2003-attitude-v1
  • nhts-2003-house-v1
  • nhts-2003-over15-v1
  • nhts-2003-person-v1
  • nhts-2003-worktrip-v1.1

(wdistric)

Data file: nhts-2003-worktrip-v1.1

Overview

Valid: 34899
Invalid: 134
Type: Discrete
Decimal: 0
loc_start_pos: 138
loc_end_pos: 141
Width: 4
Range: 11 - 5025
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 west coast 716
2.1%
12 boland 919
2.6%
13 overberg 316
0.9%
14 south coast 627
1.8%
15 central karoo 61
0.2%
16 cape town metro 3328
9.5%
21 cacadu 445
1.3%
22 nelson mandela metro 889
2.5%
23 chris hani 404
1.2%
24 ukhahlamba 206
0.6%
25 alfred nzo 88
0.3%
26 or tambo 413
1.2%
27 amatole 985
2.8%
31 kgalagadi 52
0.1%
32 frances baard 456
1.3%
33 namaqua 158
0.5%
34 karoo 204
0.6%
35 siyanda 286
0.8%
41 xhariep 204
0.6%
42 motheo 746
2.1%
43 lejweleputswa 821
2.4%
44 thabo mofutsanyane 681
2%
45 northern free state 455
1.3%
50 sisonke 162
0.5%
51 uthukela 314
0.9%
52 ugu 401
1.1%
53 umgugundlovu 1039
3%
54 ethekwini metro 2774
7.9%
55 zululand 260
0.7%
56 umkhanyakude 169
0.5%
57 uthungulu 406
1.2%
58 umzinyathi 202
0.6%
59 amajuba 275
0.8%
60 ilembe 399
1.1%
61 bojanala 929
2.7%
62 central 403
1.2%
63 bophirima 251
0.7%
64 southern 708
2%
71 sedibeng 549
1.6%
72 johannesburg metro 3134
9%
73 ekurhuleni metro 1993
5.7%
74 west rand 646
1.9%
75 tshwane metro 1778
5.1%
76 metsweding 150
0.4%
81 gert sibande 785
2.2%
82 nkangala 825
2.4%
83 ehlandzeni 752
2.2%
91 sekhukhune cb 212
0.6%
92 bohlabela 123
0.4%
93 mopani 378
1.1%
94 vhembe 319
0.9%
95 capricorn 580
1.7%
96 waterberg 512
1.5%
5025 11
0%
Sysmiss 134
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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