Inequality of food consumption vs. GDP per capita in Thailand
Thailand: Inequality of food consumption vs. GDP per capita was 0.26 in 2020. ▼ Falling
Inequality of food consumption vs. GDP per capita in Thailand, 2000–2020
Source: FAO (2017) – processed by Our World in Data.
Analysis
Thailand recorded 0.26 for inequality of food consumption vs. gdp per capita in 2020.
The figure is up 8.3% on the previous year and up 4.0% over ten years.
Over the whole period, inequality of food consumption vs. gdp per capita in Thailand peaked at 0.28 in 2000 and was at its lowest, 0.23, in 2014.
Thailand ranks 88th of 185 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 21 years of available data.
Inequality of food consumption vs. GDP per capita in Thailand, year by year
| Year | Value | Change |
|---|---|---|
| 2000 | 0.28 | — |
| 2001 | 0.28 | +0.0% |
| 2002 | 0.27 | -3.6% |
| 2003 | 0.27 | +0.0% |
| 2004 | 0.27 | +0.0% |
| 2005 | 0.26 | -3.7% |
| 2006 | 0.26 | +0.0% |
| 2007 | 0.26 | +0.0% |
| 2008 | 0.25 | -3.8% |
| 2009 | 0.25 | +0.0% |
| 2010 | 0.25 | +0.0% |
| 2011 | 0.25 | +0.0% |
| 2012 | 0.24 | -4.0% |
| 2013 | 0.24 | +0.0% |
| 2014 | 0.23 | -4.2% |
| 2015 | 0.23 | +0.0% |
| 2016 | 0.23 | +0.0% |
| 2017 | 0.24 | +4.3% |
| 2018 | 0.24 | +0.0% |
| 2019 | 0.24 | +0.0% |
| 2020 | 0.26 | +8.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.265 | 0.25 | 0.28 | 10 |
| 2010s | 0.239 | 0.23 | 0.25 | 10 |
| 2020s | 0.26 | 0.26 | 0.26 | 1 |
Countries ranked near Thailand
More economy & growth data for Thailand
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 2.97 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 2.98 Percent per annum (2029)
- Industry (including construction), value added (constant 2015 US$) 0.8074 % change on previous year (2025)
- Industry (including construction), value added (constant 2015 US$) 0.2672 constant 2015 US$ per US$ of GDP (2025)
- Industry (including construction), value added (constant 2015 US$) 2,153 constant 2015 US$ per person (2025)
- Industry (including construction), value added (constant LCU), annual 0.8072 % change on previous year (2025)
- Industry (including construction), value added (constant LCU), per 6.45 constant LCU per US$ of GDP (2025)
- Industry (including construction), value added (constant LCU), per 52,000 constant LCU per person (2025)
- Services, value added (current US$), annual growth rate 10.67 % change on previous year (2025)
- Services, value added (current US$), per unit of GDP 0.6018 current US$ per US$ of GDP (2025)
Frequently asked questions
- What is inequality of food consumption vs. gdp per capita in Thailand?
- Inequality of food consumption vs. gdp per capita in Thailand was 0.26 in 2020, according to FAO (2017) – processed by Our World in Data.
- What is the highest inequality of food consumption vs. gdp per capita recorded in Thailand?
- The highest recorded value was 0.28 in 2000.
- What is the lowest inequality of food consumption vs. gdp per capita recorded in Thailand?
- The lowest recorded value was 0.23 in 2014.
- How does Thailand rank for inequality of food consumption vs. gdp per capita?
- Thailand ranks 88th out of 185 countries with data for 2020.
- Is inequality of food consumption vs. gdp per capita rising or falling in Thailand?
- Over the last ten years it is up 4.0%. The long-run trend across the full record is falling.
- Where does this Thailand data come from?
- The figures come from FAO (2017) – processed by Our World in Data, published as part of Inequality of food consumption vs. GDP per capita. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 21 observations, free to reuse under CC BY 4.0 (Our World in Data).
About this data
Inequality of food consumption is measured by the coefficient of variation in per capita caloric consumption. Higher values represent larger levels of dietary inequality. GDP per capita is adjusted for inflation and differences in living costs between countries.