Use of interpolation and extrapolation on original Gini coefficient in Hungary
Hungary: Use of interpolation and extrapolation on original Gini coefficient was 24,350 in 2017. ◆ Volatile
Use of interpolation and extrapolation on original Gini coefficient data in Hungary, 1820–2017
Source: Various sources (2020) – processed by Our World in Data.
Analysis
Hungary recorded 24,350 for use of interpolation and extrapolation on original gini coefficient data in 2017. That is the highest value across all 15 years on record.
The figure is up 34.2% over ten years.
Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Hungary peaked at 24,350 in 2017 and was at its lowest, 1,186, in 1820.
Hungary ranks 43rd of 160 countries on this measure, 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 Hungary, year by year
| Year | Value | Change |
|---|---|---|
| 1820 | 1,186 | — |
| 1850 | 1,416 | +19.5% |
| 1870 | 1,741 | +22.9% |
| 1890 | 2,348 | +34.9% |
| 1910 | 3,188 | +35.8% |
| 1929 | 3,947 | +23.8% |
| 1950 | 3,953 | +0.2% |
| 1960 | 5,816 | +47.1% |
| 1970 | 8,015 | +37.8% |
| 1980 | 10,052 | +25.4% |
| 1990 | 10,296 | +2.4% |
| 2000 | 13,129 | +27.5% |
| 2005 | 18,141 | +38.2% |
| 2010 | 20,036 | +10.4% |
| 2017 | 24,350 | +21.5% |
Hungary compared with similar countries
- Hungary's 24,350 is below the median for high income countries, which is 35,158, 69% of the median. (50 countries reporting)
- Hungary's 24,350 is below the median for Europe & Central Asia, which is 24,814, 98% of the median. (46 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1820s | 1,186 | 1,186 | 1,186 | 1 |
| 1850s | 1,416 | 1,416 | 1,416 | 1 |
| 1870s | 1,741 | 1,741 | 1,741 | 1 |
| 1890s | 2,348 | 2,348 | 2,348 | 1 |
| 1910s | 3,188 | 3,188 | 3,188 | 1 |
| 1920s | 3,947 | 3,947 | 3,947 | 1 |
| 1950s | 3,953 | 3,953 | 3,953 | 1 |
| 1960s | 5,816 | 5,816 | 5,816 | 1 |
| 1970s | 8,015 | 8,015 | 8,015 | 1 |
| 1980s | 10,052 | 10,052 | 10,052 | 1 |
| 1990s | 10,296 | 10,296 | 10,296 | 1 |
| 2000s | 15,635 | 13,129 | 18,141 | 2 |
| 2010s | 22,193 | 20,036 | 24,350 | 2 |
Countries ranked near Hungary
More poverty & inequality data for Hungary
- Number of income/consumption surveys in the past decade available via the World Bank 2 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 1.49 live births per woman (2023)
- Cereal yield vs. share in extreme poverty 5,630 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 -9.95 % change on previous year (2024)
- Tax revenues vs income inequality, gaps filled 34.19 (2023)
- Tax revenue as share of GDP vs. income inequality 34.2% (2023)
- Tax revenues vs income inequality, per unit of GDP 0 units per US$ of GDP (2023)
Frequently asked questions
- What is use of interpolation and extrapolation on original gini coefficient data in Hungary?
- Use of interpolation and extrapolation on original gini coefficient data in Hungary was 24,350 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 Hungary?
- The highest recorded value was 24,350 in 2017.
- What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Hungary?
- The lowest recorded value was 1,186 in 1820.
- How does Hungary rank for use of interpolation and extrapolation on original gini coefficient data?
- Hungary ranks 43rd out of 160 countries with data for 2017.
- Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Hungary?
- Over the last ten years it is up 34.2%. The long-run trend across the full record is volatile.
- Where does this Hungary 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.