Use of interpolation and extrapolation on original Gini coefficient in Lithuania
Lithuania: Use of interpolation and extrapolation on original Gini coefficient was 26,157 in 2017. ◆ Volatile
Use of interpolation and extrapolation on original Gini coefficient data in Lithuania, 1820–2017
Source: Various sources (2020) – processed by Our World in Data.
Analysis
The most recent figure for use of interpolation and extrapolation on original gini coefficient data in Lithuania is 26,157, measured in 2017. That is the highest value across all 15 years on record.
That represents a change of up 59.3% over ten years.
Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Lithuania peaked at 26,157 in 2017 and was at its lowest, 869.66, in 1820.
That places Lithuania 39th out of 160 countries with data for 2017, putting it 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 Lithuania, year by year
| Year | Value | Change |
|---|---|---|
| 1820 | 869.66 | — |
| 1850 | 1,039 | +19.5% |
| 1870 | 1,277 | +22.9% |
| 1890 | 1,715 | +34.3% |
| 1910 | 2,671 | +55.7% |
| 1929 | 2,746 | +2.8% |
| 1950 | 5,629 | +105.0% |
| 1960 | 7,816 | +38.8% |
| 1970 | 11,045 | +41.3% |
| 1980 | 12,734 | +15.3% |
| 1990 | 13,809 | +8.4% |
| 2000 | 10,807 | -21.7% |
| 2005 | 16,418 | +51.9% |
| 2010 | 18,664 | +13.7% |
| 2017 | 26,157 | +40.1% |
Lithuania compared with similar countries
- Lithuania's 26,157 is below the median for high income countries, which is 35,158, 74% of the median. (50 countries reporting)
- Lithuania's 26,157 is above the median for Europe & Central Asia, which is 24,814, 1.1× the median. (46 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1820s | 869.66 | 869.66 | 869.66 | 1 |
| 1850s | 1,039 | 1,039 | 1,039 | 1 |
| 1870s | 1,277 | 1,277 | 1,277 | 1 |
| 1890s | 1,715 | 1,715 | 1,715 | 1 |
| 1910s | 2,671 | 2,671 | 2,671 | 1 |
| 1920s | 2,746 | 2,746 | 2,746 | 1 |
| 1950s | 5,629 | 5,629 | 5,629 | 1 |
| 1960s | 7,816 | 7,816 | 7,816 | 1 |
| 1970s | 11,045 | 11,045 | 11,045 | 1 |
| 1980s | 12,734 | 12,734 | 12,734 | 1 |
| 1990s | 13,809 | 13,809 | 13,809 | 1 |
| 2000s | 13,612 | 10,807 | 16,418 | 2 |
| 2010s | 22,410 | 18,664 | 26,157 | 2 |
Countries ranked near Lithuania
More poverty & inequality data for Lithuania
- 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 1.2 live births per woman (2023)
- Cereal yield vs. share in extreme poverty 4,187 kg per hectare (2023)
- Cereal yield vs extreme poverty, per unit of GDP 0 units per US$ of GDP (2023)
- Cereal yield vs extreme poverty, annual growth rate -0.5439 % change on previous year (2023)
- Tax revenues vs income inequality, gaps filled 32.6 (2023)
- Tax revenue as share of GDP vs. income inequality 32.6% (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 Lithuania?
- Use of interpolation and extrapolation on original gini coefficient data in Lithuania was 26,157 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 Lithuania?
- The highest recorded value was 26,157 in 2017.
- What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Lithuania?
- The lowest recorded value was 869.66 in 1820.
- How does Lithuania rank for use of interpolation and extrapolation on original gini coefficient data?
- Lithuania ranks 39th out of 160 countries with data for 2017.
- Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Lithuania?
- Over the last ten years it is up 59.3%. The long-run trend across the full record is volatile.
- Where does this Lithuania 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.