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    Home / Data Portal / STATSSA / ZAF-STATSSA-NHTS-2020-V1 / variable [F4]
StatsSA

National Household Travel Survey 2020

South Africa, 2020
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Reference ID
zaf-statssa-nhts-2020-v1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 26, 2021
Last modified
Nov 26, 2021
Page views
47628
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  • Study Description
  • Data Description
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  • Data files
  • nhts-2020-geog
  • nhts-2020-hhold
  • nhts-2020-person

Transport to nearest medical services (Q774aMedServ)

Data file: nhts-2020-hhold

Overview

Valid: 42138
Invalid: 0
Type: Discrete
Decimal: 0
loc_start_pos: 101
loc_end_pos: 102
Width: 2
Range: 1 - 88
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Train (Metrorail) 4
0%
2 Long distance train (e.g. Shosholoza Blue Train) 0
0%
3 Bus 565
1.3%
4 BRT/IRT bus (Bus Rapid Transit System) 23
0.1%
5 Gautrain bus 2
0%
6 Long distance bus (e.g. Intercape Translux etc) 2
0%
7 Metered taxi 218
0.5%
8 App/Web based/Call on demand (e.g. Uber, Taxify etc) 36
0.1%
9 Special transit for people with disabilities (Dial a Ride) 21
0%
10 Commuter/Short-distance/Local minibus taxi 12170
28.9%
11 Long-distance minibus taxi 225
0.5%
12 School bus 5
0%
13 Sedan taxi/Four plus one 483
1.1%
14 Bakkie taxi/Tambai 1229
2.9%
15 Car/Bakkie passenger 2124
5%
16 Car/Bakkie passenger through a lift club 107
0.3%
17 Car/Bakkie driver 6170
14.6%
18 Truck/Lorry/Tractor/Trailer passenger 20
0%
19 Truck/Lorry/Tractor driver 6
0%
20 Company vehicle 91
0.2%
21 Scooter/Motorcycle 8
0%
22 Tuk-tuk 3
0%
23 Bicycle 41
0.1%
24 Animal-drawn transport/Vehicle 26
0.1%
25 Boat/Ship 2
0%
26 Aircraft 0
0%
27 Rapid rail link (e.g. Gautrain) 9
0%
28 Walking all the way 16631
39.5%
29 Do not need to get 1631
3.9%
30 Can not get there 181
0.4%
31 Other 104
0.2%
88 Not applicable 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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