Use of interpolation and extrapolation on original Gini coefficient in Thailand
Thailand: Use of interpolation and extrapolation on original Gini coefficient was 16,032 in 2017. ◆ Volatile
Use of interpolation and extrapolation on original Gini coefficient data in Thailand, 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 Thailand is 16,032, measured in 2017. That is the highest value across all 15 years on record.
The figure is up 36.5% over ten years.
Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Thailand peaked at 16,032 in 2017 and was at its lowest, 909, in 1820.
Thailand ranks 63rd 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 Thailand, year by year
| Year | Value | Change |
|---|---|---|
| 1820 | 909 | — |
| 1850 | 944.54 | +3.9% |
| 1870 | 969 | +2.6% |
| 1890 | 1,250 | +29.0% |
| 1910 | 1,329 | +6.3% |
| 1929 | 1,264 | -4.9% |
| 1950 | 1,302 | +3.0% |
| 1960 | 1,718 | +32.0% |
| 1970 | 2,700 | +57.2% |
| 1980 | 4,071 | +50.8% |
| 1990 | 7,385 | +81.4% |
| 2000 | 9,627 | +30.4% |
| 2005 | 11,742 | +22.0% |
| 2010 | 13,344 | +13.6% |
| 2017 | 16,032 | +20.1% |
Thailand compared with similar countries
- Thailand's 16,032 is above the median for upper middle income countries, which is 12,753, 1.3× the median. (47 countries reporting)
- Thailand's 16,032 is above the median for East Asia & Pacific, which is 12,768, 1.3× the median. (17 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1820s | 909 | 909 | 909 | 1 |
| 1850s | 944.54 | 944.54 | 944.54 | 1 |
| 1870s | 969 | 969 | 969 | 1 |
| 1890s | 1,250 | 1,250 | 1,250 | 1 |
| 1910s | 1,329 | 1,329 | 1,329 | 1 |
| 1920s | 1,264 | 1,264 | 1,264 | 1 |
| 1950s | 1,302 | 1,302 | 1,302 | 1 |
| 1960s | 1,718 | 1,718 | 1,718 | 1 |
| 1970s | 2,700 | 2,700 | 2,700 | 1 |
| 1980s | 4,071 | 4,071 | 4,071 | 1 |
| 1990s | 7,385 | 7,385 | 7,385 | 1 |
| 2000s | 10,684 | 9,627 | 11,742 | 2 |
| 2010s | 14,688 | 13,344 | 16,032 | 2 |
Countries ranked near Thailand
- 60 Iran 17,687 compare
- 61 Azerbaijan 16,522 compare
- 62 Mexico 16,309 compare
- 64 Botswana 15,397 compare
- 65 Dominican Republic 15,019 compare
- 66 Costa Rica 14,471 compare
More poverty & inequality data for Thailand
- Number of income/consumption surveys in the past decade available via the World Bank 9 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 1.21 live births per woman (2023)
- Cereal yield vs. share in extreme poverty 3,072 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 -1.09 % change on previous year (2023)
- Tax revenues vs income inequality, gaps filled 17.04 (2023)
- Tax revenue as share of GDP vs. income inequality 17.0% (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 Thailand?
- Use of interpolation and extrapolation on original gini coefficient data in Thailand was 16,032 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 Thailand?
- The highest recorded value was 16,032 in 2017.
- What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Thailand?
- The lowest recorded value was 909 in 1820.
- How does Thailand rank for use of interpolation and extrapolation on original gini coefficient data?
- Thailand ranks 63rd out of 160 countries with data for 2017.
- Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Thailand?
- Over the last ten years it is up 36.5%. The long-run trend across the full record is volatile.
- Where does this Thailand 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.