General Household Survey 2025
South Africa, 2025
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Reference ID
zaf-statssa-ghs-2025-v1
Producer(s)
Statistics South Africa
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Metadata
Created on
Jun 02, 2026
Last modified
Jun 16, 2026
Page views
18224
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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.