Use of interpolation and extrapolation on original Gini coefficient in Australia
Australia: Use of interpolation and extrapolation on original Gini coefficient was 49,266 in 2017. ◆ Volatile
Use of interpolation and extrapolation on original Gini coefficient data in Australia, 1820–2017
Source: Various sources (2020) – processed by Our World in Data.
Analysis
In 2017, use of interpolation and extrapolation on original gini coefficient data in Australia stood at 49,266. That is the highest value across all 15 years on record.
Compared with earlier readings it is up 17.6% over ten years.
Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Australia peaked at 49,266 in 2017 and was at its lowest, 826, in 1820.
Australia ranks 9th of 160 countries on this measure, in the top 10%.
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 Australia, year by year
| Year | Value | Change |
|---|---|---|
| 1820 | 826 | — |
| 1850 | 3,148 | +281.1% |
| 1870 | 5,217 | +65.7% |
| 1890 | 7,106 | +36.2% |
| 1910 | 8,305 | +16.9% |
| 1929 | 8,389 | +1.0% |
| 1950 | 11,815 | +40.8% |
| 1960 | 14,013 | +18.6% |
| 1970 | 19,166 | +36.8% |
| 1980 | 22,972 | +19.9% |
| 1990 | 27,373 | +19.2% |
| 2000 | 36,603 | +33.7% |
| 2005 | 41,904 | +14.5% |
| 2010 | 45,400 | +8.3% |
| 2017 | 49,266 | +8.5% |
Australia compared with similar countries
- Australia's 49,266 is above the median for high income countries, which is 35,158, 1.4× the median. (50 countries reporting)
- Australia's 49,266 is above the median for East Asia & Pacific, which is 12,768, 3.9× the median. (17 countries reporting)
Biggest year-on-year movements
Years where Use of interpolation and extrapolation on original Gini coefficient in Australia changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1850 | +281.1% | 826 | 3,148 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1820s | 826 | 826 | 826 | 1 |
| 1850s | 3,148 | 3,148 | 3,148 | 1 |
| 1870s | 5,217 | 5,217 | 5,217 | 1 |
| 1890s | 7,106 | 7,106 | 7,106 | 1 |
| 1910s | 8,305 | 8,305 | 8,305 | 1 |
| 1920s | 8,389 | 8,389 | 8,389 | 1 |
| 1950s | 11,815 | 11,815 | 11,815 | 1 |
| 1960s | 14,013 | 14,013 | 14,013 | 1 |
| 1970s | 19,166 | 19,166 | 19,166 | 1 |
| 1980s | 22,972 | 22,972 | 22,972 | 1 |
| 1990s | 27,373 | 27,373 | 27,373 | 1 |
| 2000s | 39,254 | 36,603 | 41,904 | 2 |
| 2010s | 47,333 | 45,400 | 49,266 | 2 |
Countries ranked near Australia
- 6 United States 54,008 compare
- 7 Saudi Arabia 50,002 compare
- 8 Hong Kong 49,919 compare
- 10 Netherlands 46,651 compare
- 11 Germany 45,620 compare
- 12 Denmark 45,456 compare
More poverty & inequality data for Australia
- Number of income/consumption surveys in the past decade available via the World Bank 3 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 1.64 live births per woman (2023)
- Cereal yield vs. share in extreme poverty 2,690 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 -0.0446 % change on previous year (2024)
- Tax revenues vs income inequality, gaps filled 30.36 (2022)
- Tax revenue as share of GDP vs. income inequality 30.4% (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 Australia?
- Use of interpolation and extrapolation on original gini coefficient data in Australia was 49,266 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 Australia?
- The highest recorded value was 49,266 in 2017.
- What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Australia?
- The lowest recorded value was 826 in 1820.
- How does Australia rank for use of interpolation and extrapolation on original gini coefficient data?
- Australia ranks 9th out of 160 countries with data for 2017.
- Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Australia?
- Over the last ten years it is up 17.6%. The long-run trend across the full record is volatile.
- Where does this Australia 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.