Use of interpolation and extrapolation on original Gini coefficient in South Africa
South Africa: Use of interpolation and extrapolation on original Gini coefficient was 12,189 in 2017. ◆ Volatile
Use of interpolation and extrapolation on original Gini coefficient data in South Africa, 1820–2017
Source: Various sources (2020) – processed by Our World in Data.
Analysis
South Africa recorded 12,189 for use of interpolation and extrapolation on original gini coefficient data in 2017. That is the highest value across all 15 years on record.
Compared with earlier readings it is up 29.8% over ten years.
Over the whole period, use of interpolation and extrapolation on original gini coefficient data in South Africa peaked at 12,189 in 2017 and was at its lowest, 1,042, in 1850.
That places South Africa 78th out of 160 countries with data for 2017, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Use of interpolation and extrapolation on original Gini coefficient in South Africa, year by year
| Year | Value | Change |
|---|---|---|
| 1820 | 1,188 | — |
| 1850 | 1,042 | -12.3% |
| 1870 | 1,286 | +23.4% |
| 1890 | 1,830 | +42.3% |
| 1910 | 1,835 | +0.3% |
| 1929 | 2,386 | +30.0% |
| 1950 | 4,041 | +69.4% |
| 1960 | 4,847 | +19.9% |
| 1970 | 6,448 | +33.0% |
| 1980 | 6,998 | +8.5% |
| 1990 | 6,111 | -12.7% |
| 2000 | 7,583 | +24.1% |
| 2005 | 9,394 | +23.9% |
| 2010 | 11,319 | +20.5% |
| 2017 | 12,189 | +7.7% |
South Africa compared with similar countries
- South Africa's 12,189 is below the median for upper middle income countries, which is 12,753, 96% of the median. (47 countries reporting)
- South Africa's 12,189 is above the median for Sub-Saharan Africa, which is 2,331, 5.2× the median. (44 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1820s | 1,188 | 1,188 | 1,188 | 1 |
| 1850s | 1,042 | 1,042 | 1,042 | 1 |
| 1870s | 1,286 | 1,286 | 1,286 | 1 |
| 1890s | 1,830 | 1,830 | 1,830 | 1 |
| 1910s | 1,835 | 1,835 | 1,835 | 1 |
| 1920s | 2,386 | 2,386 | 2,386 | 1 |
| 1950s | 4,041 | 4,041 | 4,041 | 1 |
| 1960s | 4,847 | 4,847 | 4,847 | 1 |
| 1970s | 6,448 | 6,448 | 6,448 | 1 |
| 1980s | 6,998 | 6,998 | 6,998 | 1 |
| 1990s | 6,111 | 6,111 | 6,111 | 1 |
| 2000s | 8,488 | 7,583 | 9,394 | 2 |
| 2010s | 11,754 | 11,319 | 12,189 | 2 |
Countries ranked near South Africa
More poverty & inequality data for South Africa
- Number of income/consumption surveys in the past decade available via the World Bank 1 surveys (2025)
- Number of income/consumption surveys in the past decade available via 0 surveys per person (2025)
- Number of income/consumption surveys in the past decade available via 0 surveys per US$ of GDP (2025)
- Fertility rate vs. share living in extreme poverty 2.22 live births per woman (2023)
- Cereal yield vs. share in extreme poverty 4,562 kg per hectare (2024)
- Cereal yield vs extreme poverty, per unit of GDP 0 units per US$ of GDP (2024)
- Cereal yield vs extreme poverty, annual growth rate -20.01 % change on previous year (2024)
- Tax revenues vs income inequality, gaps filled 28.13 (2022)
- Tax revenue as share of GDP vs. income inequality 28.1% (2022)
- Tax revenues vs income inequality, per unit of GDP 0 units per US$ of GDP (2022)
Frequently asked questions
- What is use of interpolation and extrapolation on original gini coefficient data in South Africa?
- Use of interpolation and extrapolation on original gini coefficient data in South Africa was 12,189 in 2017, according to Various sources (2020) – processed by Our World in Data.
- What is the highest use of interpolation and extrapolation on original gini coefficient data recorded in South Africa?
- The highest recorded value was 12,189 in 2017.
- What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in South Africa?
- The lowest recorded value was 1,042 in 1850.
- How does South Africa rank for use of interpolation and extrapolation on original gini coefficient data?
- South Africa ranks 78th out of 160 countries with data for 2017.
- Is use of interpolation and extrapolation on original gini coefficient data rising or falling in South Africa?
- Over the last ten years it is up 29.8%. The long-run trend across the full record is volatile.
- Where does this South Africa data come from?
- The figures come from Various sources (2020) – processed by Our World in Data, published as part of Use of interpolation and extrapolation on original Gini coefficient data. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 15 observations, free to reuse under CC BY 4.0 (Our World in Data).
About this data
In order to produce global estimates of historical poverty trends we have interpolated or extrapolated inequality data for missing observations. Green indicates observations of the Gini coefficient available in the original source.