Use of interpolation and extrapolation on original Gini coefficient data in Australia
Australia: Use of interpolation and extrapolation on original Gini coefficient data was 49,266 in 2017. β Volatile
Use of interpolation and extrapolation on original Gini coefficient data in Australia, 1820β2017
Source: Various sources (2020) β 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.
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)
- 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)
- Tax revenue as share of GDP vs. income inequality 30.4% (2022)
- Gender Inequality Index 0.056 (2023)
- Share of government consumption in GDP vs. share of population living in extreme poverty 21.6% (2023)
- Lifespan inequality: Gini coefficient in women 0.0712 (2023)
- Lifespan inequality: Gini coefficient by sex 0.0712 (2023)
- Lifespan inequality: Gini coefficient in men 0.0807 (2023)
- Income inequality: Atkinson index 0.1849 (2023)
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) β 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) β 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 Β· JSON β 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.