General Household Survey 2023
South Africa, 2023
Get Microdata
Reference ID
ZAF_2023_GHS_v01_M_v01_A_ESS
Producer(s)
Government of South Africa, Statistics South Africa (Stats SA)
Collections
Metadata
Created on
May 22, 2026
Last modified
Jun 02, 2026
Page views
1204
Downloads
3
- Data files
- ghs-2023-person-v1
- ghs-2023-hhold-v1
Approximately how much from remittances (fin_rem)
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%
|
| 50 | 50. 50 | 0 |
0%
|
| 100 | 100. 100 | 0 |
0%
|
| 150 | 150. 150 | 0 |
0%
|
| 200 | 200. 200 | 0 |
0%
|
| 250 | 250. 250 | 0 |
0%
|
| 300 | 300. 300 | 0 |
0%
|
| 350 | 350. 350 | 0 |
0%
|
| 400 | 400. 400 | 0 |
0%
|
| 450 | 450. 450 | 0 |
0%
|
| 500 | 500. 500 | 1 |
0.1%
|
| 550 | 550. 550 | 0 |
0%
|
| 600 | 600. 600 | 2 |
0.2%
|
| 650 | 650. 650 | 0 |
0%
|
| 700 | 700. 700 | 2 |
0.2%
|
| 750 | 750. 750 | 0 |
0%
|
| 780 | 780. 780 | 0 |
0%
|
| 800 | 800. 800 | 0 |
0%
|
| 850 | 850. 850 | 0 |
0%
|
| 880 | 880. 880 | 0 |
0%
|
| 900 | 900. 900 | 0 |
0%
|
| 960 | 960. 960 | 0 |
0%
|
| 1000 | 1000. 1000 | 11 |
1.1%
|
| 1100 | 1100. 1100 | 0 |
0%
|
| 1200 | 1200. 1200 | 1 |
0.1%
|
| 1250 | 1250. 1250 | 0 |
0%
|
| 1300 | 1300. 1300 | 0 |
0%
|
| 1350 | 1350. 1350 | 0 |
0%
|
| 1400 | 1400. 1400 | 0 |
0%
|
| 1450 | 1450. 1450 | 0 |
0%
|
| 1500 | 1500. 1500 | 3 |
0.3%
|
| 1550 | 1550. 1550 | 0 |
0%
|
| 1600 | 1600. 1600 | 0 |
0%
|
| 1650 | 1650. 1650 | 0 |
0%
|
| 1700 | 1700. 1700 | 1 |
0.1%
|
| 1800 | 1800. 1800 | 0 |
0%
|
| 1900 | 1900. 1900 | 0 |
0%
|
| 2000 | 2000. 2000 | 13 |
1.3%
|
| 2100 | 2100. 2100 | 0 |
0%
|
| 2300 | 2300. 2300 | 0 |
0%
|
| 2400 | 2400. 2400 | 0 |
0%
|
| 2500 | 2500. 2500 | 3 |
0.3%
|
| 2600 | 2600. 2600 | 1 |
0.1%
|
| 2700 | 2700. 2700 | 0 |
0%
|
| 2800 | 2800. 2800 | 0 |
0%
|
| 2920 | 2920. 2920 | 0 |
0%
|
| 3000 | 3000. 3000 | 3 |
0.3%
|
| 3200 | 3200. 3200 | 0 |
0%
|
| 3300 | 3300. 3300 | 0 |
0%
|
| 3500 | 3500. 3500 | 1 |
0.1%
|
| 3600 | 3600. 3600 | 0 |
0%
|
| 3800 | 3800. 3800 | 0 |
0%
|
| 3850 | 3850. 3850 | 0 |
0%
|
| 4000 | 4000. 4000 | 2 |
0.2%
|
| 4200 | 4200. 4200 | 0 |
0%
|
| 4500 | 4500. 4500 | 1 |
0.1%
|
| 4800 | 4800. 4800 | 0 |
0%
|
| 5000 | 5000. 5000 | 4 |
0.4%
|
| 5100 | 5100. 5100 | 0 |
0%
|
| 5500 | 5500. 5500 | 0 |
0%
|
| 5600 | 5600. 5600 | 0 |
0%
|
| 6000 | 6000. 6000 | 0 |
0%
|
| 6500 | 6500. 6500 | 0 |
0%
|
| 7000 | 7000. 7000 | 0 |
0%
|
| 8000 | 8000. 8000 | 1 |
0.1%
|
| 9000 | 9000. 9000 | 0 |
0%
|
| 9500 | 9500. 9500 | 0 |
0%
|
| 10000 | 10000. 10000 | 1 |
0.1%
|
| 10500 | 10500. 10500 | 0 |
0%
|
| 11000 | 11000. 11000 | 0 |
0%
|
| 11500 | 11500. 11500 | 0 |
0%
|
| 12000 | 12000. 12000 | 0 |
0%
|
| 12500 | 12500. 12500 | 0 |
0%
|
| 15000 | 15000. 15000 | 1 |
0.1%
|
| 16000 | 16000. 16000 | 0 |
0%
|
| 18000 | 18000. 18000 | 0 |
0%
|
| 20000 | 20000. 20000 | 1 |
0.1%
|
| 24000 | 24000. 24000 | 0 |
0%
|
| 25000 | 25000. 25000 | 0 |
0%
|
| 30000 | 30000. 30000 | 0 |
0%
|
| 50000 | 50000. 50000 | 0 |
0%
|
| 8888888 | 8888888. Not applicable | 946 |
94.6%
|
| 9999999 | 9999999. Unspecified | 1 |
0.1%
|
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.