Use of interpolation and extrapolation on original Gini coefficient data in Brazil
Brazil: Use of interpolation and extrapolation on original Gini coefficient data was 13,952 in 2017. ◆ Volatile
Use of interpolation and extrapolation on original Gini coefficient data in Brazil, 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 Brazil stood at 13,952.
Compared with earlier readings it is up 23.4% over ten years.
Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Brazil peaked at 14,216 in 2010 and was at its lowest, 867, in 1820.
That places Brazil 68th 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.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1820s | 867 | 867 | 867 | 1 |
| 1850s | 867 | 867 | 867 | 1 |
| 1870s | 1,084 | 1,084 | 1,084 | 1 |
| 1890s | 1,084 | 1,084 | 1,084 | 1 |
| 1910s | 990 | 990 | 990 | 1 |
| 1920s | 1,465 | 1,465 | 1,465 | 1 |
| 1950s | 2,236 | 2,236 | 2,236 | 1 |
| 1960s | 3,398 | 3,398 | 3,398 | 1 |
| 1970s | 4,635 | 4,635 | 4,635 | 1 |
| 1980s | 8,249 | 8,249 | 8,249 | 1 |
| 1990s | 7,842 | 7,842 | 7,842 | 1 |
| 2000s | 10,570 | 9,834 | 11,306 | 2 |
| 2010s | 14,084 | 13,952 | 14,216 | 2 |
Countries ranked near Brazil
More poverty & inequality data for Brazil
- Number of income/consumption surveys in the past decade available via the World Bank 9 surveys (2025)
- Fertility rate vs. share living in extreme poverty 1.62 live births per woman (2023)
- Cereal yield vs. share in extreme poverty 5,003 kg per hectare (2024)
- Tax revenue as share of GDP vs. income inequality 32.7% (2022)
- Gender Inequality Index 0.39 (2023)
- Share of government consumption in GDP vs. share of population living in extreme poverty 17.0% (2023)
- Lifespan inequality: Gini coefficient in women 0.1007 (2023)
- Lifespan inequality: Gini coefficient by sex 0.1007 (2023)
- Lifespan inequality: Gini coefficient in men 0.1341 (2023)
- Income inequality: Atkinson index 0.4373 (2023)
Frequently asked questions
- What is use of interpolation and extrapolation on original gini coefficient data in Brazil?
- Use of interpolation and extrapolation on original gini coefficient data in Brazil was 13,952 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 Brazil?
- The highest recorded value was 14,216 in 2010.
- What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Brazil?
- The lowest recorded value was 867 in 1820.
- How does Brazil rank for use of interpolation and extrapolation on original gini coefficient data?
- Brazil ranks 68th out of 160 countries with data for 2017.
- Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Brazil?
- Over the last ten years it is up 23.4%. The long-run trend across the full record is volatile.
- Where does this Brazil 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.