Use of interpolation and extrapolation on original Gini coefficient in Malta
Malta: Use of interpolation and extrapolation on original Gini coefficient was 30,902 in 2017. ◆ Volatile
Use of interpolation and extrapolation on original Gini coefficient data in Malta, 1820–2017
Source: Various sources (2020) – processed by Our World in Data.
Analysis
Malta recorded 30,902 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 41.1% over ten years.
Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Malta peaked at 30,902 in 2017 and was at its lowest, 472.88, in 1820.
Malta ranks 32nd of 160 countries on this measure, in the top quarter.
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 Malta, year by year
| Year | Value | Change |
|---|---|---|
| 1820 | 472.88 | — |
| 1850 | 564.89 | +19.5% |
| 1870 | 694.38 | +22.9% |
| 1890 | 925.84 | +33.3% |
| 1910 | 1,150 | +24.3% |
| 1929 | 1,336 | +16.1% |
| 1950 | 1,573 | +17.8% |
| 1960 | 2,383 | +51.5% |
| 1970 | 3,889 | +63.2% |
| 1980 | 8,920 | +129.4% |
| 1990 | 13,259 | +48.6% |
| 2000 | 20,435 | +54.1% |
| 2005 | 21,905 | +7.2% |
| 2010 | 23,633 | +7.9% |
| 2017 | 30,902 | +30.8% |
Malta compared with similar countries
- Malta's 30,902 is below the median for high income countries, which is 35,158, 88% of the median. (50 countries reporting)
- Malta's 30,902 is above the median for Middle East, North Africa, Afghanistan & Pakistan, which is 12,250, 2.5× the median. (20 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1820s | 472.88 | 472.88 | 472.88 | 1 |
| 1850s | 564.89 | 564.89 | 564.89 | 1 |
| 1870s | 694.38 | 694.38 | 694.38 | 1 |
| 1890s | 925.84 | 925.84 | 925.84 | 1 |
| 1910s | 1,150 | 1,150 | 1,150 | 1 |
| 1920s | 1,336 | 1,336 | 1,336 | 1 |
| 1950s | 1,573 | 1,573 | 1,573 | 1 |
| 1960s | 2,383 | 2,383 | 2,383 | 1 |
| 1970s | 3,889 | 3,889 | 3,889 | 1 |
| 1980s | 8,920 | 8,920 | 8,920 | 1 |
| 1990s | 13,259 | 13,259 | 13,259 | 1 |
| 2000s | 21,170 | 20,435 | 21,905 | 2 |
| 2010s | 27,268 | 23,633 | 30,902 | 2 |
Countries ranked near Malta
- 29 Israel 32,339 compare
- 30 Equatorial Guinea 31,048 compare
- 31 Spain 30,908 compare
- 33 Trinidad and Tobago 28,557 compare
- 34 Slovenia 28,190 compare
- 35 Seychelles 27,574 compare
More poverty & inequality data for Malta
- Number of income/consumption surveys in the past decade available via the World Bank 8 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 1.1 live births per woman (2023)
- Cereal yield vs. share in extreme poverty 4,880 kg per hectare (2017)
- Cereal yield vs extreme poverty, per unit of GDP 0 units per US$ of GDP (2017)
- Cereal yield vs extreme poverty, annual growth rate 1.23 % change on previous year (2017)
- Tax revenues vs income inequality, gaps filled 32.81 (2009)
- Tax revenue as share of GDP vs. income inequality 32.8% (2009)
- Tax revenues vs income inequality, per unit of GDP 0 units per US$ of GDP (2009)
Frequently asked questions
- What is use of interpolation and extrapolation on original gini coefficient data in Malta?
- Use of interpolation and extrapolation on original gini coefficient data in Malta was 30,902 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 Malta?
- The highest recorded value was 30,902 in 2017.
- What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Malta?
- The lowest recorded value was 472.88 in 1820.
- How does Malta rank for use of interpolation and extrapolation on original gini coefficient data?
- Malta ranks 32nd out of 160 countries with data for 2017.
- Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Malta?
- Over the last ten years it is up 41.1%. The long-run trend across the full record is volatile.
- Where does this Malta 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.