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    Home / Central Data Catalog / DATAFIRST / ZAF_2023_GHS_V01_M / variable [F4]
datafirst

General Household Survey 2023

South Africa, 2023
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Reference ID
ZAF_2023_GHS_v01_M
Producer(s)
Statistics South Africa
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
DDI/XML JSON
Study website
Created on
Aug 11, 2025
Last modified
Aug 11, 2025
Page views
65372
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  • ghs-2023-person-v1
  • ghs-2023-hhold-v1

Approximately how much from pensions (fin_pen)

Data file: ghs-2023-hhold-v1

Overview

Valid: 1000
Invalid: 0
Type: Discrete
Decimal: 0
Width: 23
Range: 1 - 9999999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 1. 1 0
0%
350 350. 350 1
0.1%
500 500. 500 0
0%
800 800. 800 0
0%
850 850. 850 0
0%
900 900. 900 0
0%
1000 1000. 1000 0
0%
1100 1100. 1100 0
0%
1200 1200. 1200 0
0%
1300 1300. 1300 0
0%
1400 1400. 1400 0
0%
1500 1500. 1500 1
0.1%
1600 1600. 1600 0
0%
1700 1700. 1700 0
0%
1800 1800. 1800 0
0%
1900 1900. 1900 1
0.1%
2000 2000. 2000 0
0%
2010 2010. 2010 1
0.1%
2050 2050. 2050 0
0%
2080 2080. 2080 0
0%
2090 2090. 2090 0
0%
2100 2100. 2100 0
0%
2150 2150. 2150 0
0%
2176 2176. 2176 0
0%
2300 2300. 2300 0
0%
2400 2400. 2400 0
0%
2500 2500. 2500 0
0%
2600 2600. 2600 0
0%
2700 2700. 2700 0
0%
2800 2800. 2800 0
0%
2900 2900. 2900 0
0%
3000 3000. 3000 1
0.1%
3080 3080. 3080 0
0%
3100 3100. 3100 0
0%
3200 3200. 3200 0
0%
3300 3300. 3300 0
0%
3400 3400. 3400 0
0%
3500 3500. 3500 0
0%
3600 3600. 3600 0
0%
3700 3700. 3700 1
0.1%
3800 3800. 3800 0
0%
3900 3900. 3900 0
0%
4000 4000. 4000 5
0.5%
4100 4100. 4100 0
0%
4200 4200. 4200 0
0%
4300 4300. 4300 0
0%
4400 4400. 4400 0
0%
4500 4500. 4500 1
0.1%
4800 4800. 4800 0
0%
5000 5000. 5000 6
0.6%
5100 5100. 5100 0
0%
5500 5500. 5500 0
0%
5700 5700. 5700 0
0%
6000 6000. 6000 2
0.2%
6300 6300. 6300 0
0%
6500 6500. 6500 0
0%
6800 6800. 6800 0
0%
7000 7000. 7000 6
0.6%
7500 7500. 7500 1
0.1%
7800 7800. 7800 0
0%
8000 8000. 8000 5
0.5%
8200 8200. 8200 1
0.1%
8500 8500. 8500 0
0%
8600 8600. 8600 0
0%
9000 9000. 9000 0
0%
9400 9400. 9400 0
0%
9500 9500. 9500 0
0%
9700 9700. 9700 0
0%
9800 9800. 9800 0
0%
10000 10000. 10000 13
1.3%
10500 10500. 10500 0
0%
10800 10800. 10800 0
0%
11000 11000. 11000 0
0%
11800 11800. 11800 0
0%
12000 12000. 12000 5
0.5%
12400 12400. 12400 0
0%
12500 12500. 12500 0
0%
13000 13000. 13000 0
0%
14000 14000. 14000 0
0%
15000 15000. 15000 7
0.7%
16000 16000. 16000 2
0.2%
16200 16200. 16200 0
0%
17000 17000. 17000 2
0.2%
18000 18000. 18000 2
0.2%
18800 18800. 18800 0
0%
18900 18900. 18900 0
0%
19000 19000. 19000 1
0.1%
19090 19090. 19090 0
0%
20000 20000. 20000 9
0.9%
21000 21000. 21000 0
0%
21800 21800. 21800 0
0%
22000 22000. 22000 1
0.1%
23000 23000. 23000 1
0.1%
24000 24000. 24000 0
0%
25000 25000. 25000 1
0.1%
27000 27000. 27000 0
0%
28000 28000. 28000 0
0%
30000 30000. 30000 3
0.3%
32000 32000. 32000 1
0.1%
33000 33000. 33000 1
0.1%
35000 35000. 35000 1
0.1%
36000 36000. 36000 1
0.1%
38000 38000. 38000 0
0%
40000 40000. 40000 4
0.4%
45000 45000. 45000 0
0%
50000 50000. 50000 0
0%
55000 55000. 55000 0
0%
60000 60000. 60000 0
0%
62000 62000. 62000 0
0%
70000 70000. 70000 0
0%
80000 80000. 80000 1
0.1%
87000 87000. 87000 1
0.1%
90000 90000. 90000 0
0%
8888888 8888888. Not applicable 910
91%
9999999 9999999. Unspecified 0
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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