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    Home / Data Portal / SAHS / ZAF-STATSSA-GHS-2025-V1 / variable [F3]
SAHS

General Household Survey 2025

South Africa, 2025
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Reference ID
zaf-statssa-ghs-2025-v1
DOI
https://doi.org/10.25828/a4a6-p161
Producer(s)
Statistics South Africa
Collections
South African Household Survey Data
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 02, 2026
Last modified
Jun 16, 2026
Page views
18224
Downloads
293
  • Dataset Description
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  • ghs-2025-hh-v1
  • ghs-2025-person-v1
  • ghs-2025-household-v1

Approximately how much from pensions (fin_pen)

Data file: ghs-2025-household-v1

Overview

Valid: 20095
Minimum: 1
Maximum: 9999999
Mean: 8520220.4854939
Standard deviation: 1771231.8933577
Type: Discrete
Width: 23
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 1. 1 1
0%
2 2. 2 1
0%
3 3. 3 1
0%
500 500. 500 2
0%
900 900. 900 2
0%
1000 1000. 1000 8
0%
1200 1200. 1200 1
0%
1300 1300. 1300 1
0%
1500 1500. 1500 13
0.1%
1700 1700. 1700 3
0%
1800 1800. 1800 4
0%
2000 2000. 2000 27
0.1%
2100 2100. 2100 3
0%
2200 2200. 2200 1
0%
2300 2300. 2300 8
0%
2310 2310. 2310 1
0%
2320 2320. 2320 1
0%
2500 2500. 2500 17
0.1%
2800 2800. 2800 2
0%
3000 3000. 3000 20
0.1%
3100 3100. 3100 1
0%
3200 3200. 3200 1
0%
3500 3500. 3500 11
0.1%
3750 3750. 3750 1
0%
3800 3800. 3800 1
0%
3900 3900. 3900 1
0%
4000 4000. 4000 17
0.1%
4200 4200. 4200 2
0%
4400 4400. 4400 1
0%
4500 4500. 4500 8
0%
4700 4700. 4700 1
0%
4800 4800. 4800 1
0%
5000 5000. 5000 61
0.3%
5500 5500. 5500 2
0%
5600 5600. 5600 1
0%
6000 6000. 6000 27
0.1%
6500 6500. 6500 14
0.1%
6800 6800. 6800 2
0%
7000 7000. 7000 18
0.1%
7300 7300. 7300 1
0%
7500 7500. 7500 7
0%
8000 8000. 8000 47
0.2%
8500 8500. 8500 1
0%
8900 8900. 8900 1
0%
9000 9000. 9000 20
0.1%
9300 9300. 9300 1
0%
9500 9500. 9500 3
0%
9600 9600. 9600 1
0%
9900 9900. 9900 1
0%
10000 10000. 10000 65
0.3%
10300 10300. 10300 1
0%
10500 10500. 10500 1
0%
11000 11000. 11000 9
0%
11900 11900. 11900 1
0%
12000 12000. 12000 34
0.2%
12500 12500. 12500 2
0%
12717 12717. 12717 1
0%
12800 12800. 12800 1
0%
13000 13000. 13000 6
0%
13500 13500. 13500 1
0%
13600 13600. 13600 1
0%
14000 14000. 14000 10
0%
15000 15000. 15000 63
0.3%
16000 16000. 16000 8
0%
17000 17000. 17000 7
0%
17500 17500. 17500 1
0%
18000 18000. 18000 35
0.2%
18500 18500. 18500 2
0%
19000 19000. 19000 2
0%
20000 20000. 20000 67
0.3%
21000 21000. 21000 1
0%
22000 22000. 22000 2
0%
23000 23000. 23000 2
0%
23751 23751. 23751 1
0%
24000 24000. 24000 4
0%
25000 25000. 25000 32
0.2%
26000 26000. 26000 2
0%
27000 27000. 27000 1
0%
28000 28000. 28000 5
0%
29000 29000. 29000 1
0%
30000 30000. 30000 37
0.2%
31000 31000. 31000 2
0%
32000 32000. 32000 4
0%
33000 33000. 33000 2
0%
35000 35000. 35000 6
0%
36000 36000. 36000 3
0%
37000 37000. 37000 1
0%
38000 38000. 38000 2
0%
40000 40000. 40000 15
0.1%
41000 41000. 41000 1
0%
42000 42000. 42000 1
0%
45000 45000. 45000 2
0%
50000 50000. 50000 7
0%
55000 55000. 55000 3
0%
56000 56000. 56000 1
0%
60000 60000. 60000 2
0%
70000 70000. 70000 2
0%
90000 90000. 90000 2
0%
100000 100000. 100000 2
0%
8888888 8888888. Not applicable 19258
95.8%
9999999 9999999. unspecified 2
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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