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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
47543
Downloads
1538
  • Study Description
  • Data Description
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  • Data files
  • nhts-2020-geog
  • nhts-2020-hhold
  • nhts-2020-person

Income from pensions or retirement (Q722Pensions)

Data file: nhts-2020-hhold

Overview

Valid: 42138
Invalid: 0
Type: Discrete
Decimal: 0
loc_start_pos: 42
loc_end_pos: 47
Width: 6
Range: 0 - 999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 0 90
0.2%
1 1 5
0%
2 2 1
0%
15 15 1
0%
20 20 1
0%
25 25 1
0%
30 30 1
0%
300 300 1
0%
400 400 1
0%
450 450 1
0%
500 500 6
0%
670 670 1
0%
700 700 3
0%
740 740 1
0%
800 800 1
0%
820 820 2
0%
850 850 1
0%
860 860 1
0%
900 900 1
0%
1000 1000 20
0%
1050 1050 1
0%
1100 1100 2
0%
1200 1200 8
0%
1279 1279 1
0%
1300 1300 2
0%
1400 1400 4
0%
1500 1500 19
0%
1600 1600 2
0%
1700 1700 17
0%
1720 1720 1
0%
1760 1760 2
0%
1770 1770 1
0%
1780 1780 5
0%
1800 1800 7
0%
1860 1860 1
0%
1900 1900 3
0%
2000 2000 26
0.1%
2004 2004 1
0%
2200 2200 2
0%
2300 2300 1
0%
2400 2400 1
0%
2420 2420 1
0%
2500 2500 30
0.1%
2600 2600 3
0%
2690 2690 1
0%
2700 2700 2
0%
2800 2800 2
0%
3000 3000 68
0.2%
3086 3086 1
0%
3200 3200 4
0%
3300 3300 1
0%
3400 3400 2
0%
3500 3500 27
0.1%
3600 3600 1
0%
3700 3700 1
0%
3750 3750 1
0%
3800 3800 5
0%
3810 3810 1
0%
4000 4000 41
0.1%
4080 4080 1
0%
4100 4100 1
0%
4200 4200 2
0%
4400 4400 1
0%
4500 4500 22
0.1%
4700 4700 3
0%
4800 4800 1
0%
4900 4900 1
0%
5000 5000 122
0.3%
5200 5200 1
0%
5320 5320 1
0%
5400 5400 1
0%
5472 5472 1
0%
5500 5500 8
0%
5600 5600 1
0%
5800 5800 1
0%
6000 6000 62
0.1%
6100 6100 3
0%
6200 6200 2
0%
6400 6400 1
0%
6500 6500 14
0%
6600 6600 1
0%
6900 6900 1
0%
7000 7000 33
0.1%
7018 7018 1
0%
7400 7400 1
0%
7500 7500 7
0%
7600 7600 1
0%
8000 8000 47
0.1%
8200 8200 2
0%
8500 8500 4
0%
9000 9000 24
0.1%
9443 9443 1
0%
9500 9500 5
0%
9600 9600 2
0%
9800 9800 1
0%
9900 9900 1
0%
10000 10000 75
0.2%
10200 10200 1
0%
10386 10386 1
0%
10500 10500 1
0%
11000 11000 25
0.1%
11500 11500 1
0%
11800 11800 1
0%
12000 12000 35
0.1%
12400 12400 1
0%
12500 12500 2
0%
13000 13000 11
0%
14000 14000 8
0%
15000 15000 59
0.1%
16000 16000 15
0%
16010 16010 1
0%
17000 17000 6
0%
17397 17397 1
0%
18000 18000 13
0%
19000 19000 4
0%
20000 20000 39
0.1%
21000 21000 2
0%
22000 22000 4
0%
23000 23000 1
0%
24000 24000 2
0%
25000 25000 30
0.1%
26000 26000 3
0%
27000 27000 2
0%
28000 28000 2
0%
29000 29000 1
0%
30000 30000 24
0.1%
31800 31800 1
0%
32000 32000 3
0%
33000 33000 1
0%
35000 35000 12
0%
36000 36000 1
0%
38000 38000 1
0%
40000 40000 9
0%
45000 45000 3
0%
50000 50000 7
0%
54000 54000 1
0%
56000 56000 1
0%
60000 60000 1
0%
80000 80000 1
0%
120000 120000 1
0%
150000 150000 1
0%
160000 160000 1
0%
700000 700000 1
0%
888888 Not applicable 40895
97.1%
999999 Unspecified 5
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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