Inequality in per capita calorie intake in Sri Lanka
Sri Lanka: Inequality in per capita calorie intake was 0.27 in 2020. ▬ Flat
Inequality in per capita calorie intake in Sri Lanka, 2000–2020
Source: FAO (2017) – processed by Our World in Data.
Analysis
Sri Lanka recorded 0.27 for inequality in per capita calorie intake in 2020. That is the highest value across all 21 years on record.
Compared with earlier readings it is up 8.0% on the previous year and up 12.5% over ten years.
Over the whole period, inequality in per capita calorie intake in Sri Lanka peaked at 0.27 in 2020 and was at its lowest, 0.24, in 2000.
That places Sri Lanka 77th out of 185 countries with data for 2020, putting it in the middle of the range.
Inequality in per capita calorie intake in Sri Lanka, year by year
| Year | Value | Change |
|---|---|---|
| 2000 | 0.24 | — |
| 2001 | 0.24 | +0.0% |
| 2002 | 0.24 | +0.0% |
| 2003 | 0.24 | +0.0% |
| 2004 | 0.24 | +0.0% |
| 2005 | 0.24 | +0.0% |
| 2006 | 0.24 | +0.0% |
| 2007 | 0.24 | +0.0% |
| 2008 | 0.24 | +0.0% |
| 2009 | 0.24 | +0.0% |
| 2010 | 0.24 | +0.0% |
| 2011 | 0.24 | +0.0% |
| 2012 | 0.24 | +0.0% |
| 2013 | 0.24 | +0.0% |
| 2014 | 0.24 | +0.0% |
| 2015 | 0.24 | +0.0% |
| 2016 | 0.24 | +0.0% |
| 2017 | 0.24 | +0.0% |
| 2018 | 0.24 | +0.0% |
| 2019 | 0.25 | +4.2% |
| 2020 | 0.27 | +8.0% |
Sri Lanka compared with similar countries
- Sri Lanka's 0.27 is above the median for upper middle income countries, which is 0.26, 1.0× the median. (53 countries reporting)
- Sri Lanka's 0.27 is above the median for South Asia, which is 0.27, 1.0× the median. (5 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.24 | 0.24 | 0.24 | 10 |
| 2010s | 0.241 | 0.24 | 0.25 | 10 |
| 2020s | 0.27 | 0.27 | 0.27 | 1 |
Countries ranked near Sri Lanka
- 77 Brazil 0.27 compare
- 77 Ecuador 0.27 compare
- 77 Iran 0.27 compare
- 77 Lesotho 0.27 compare
- 77 New Caledonia 0.27 compare
- 77 Pakistan 0.27 compare
- 77 Papua New Guinea 0.27 compare
- 77 Samoa 0.27 compare
- 77 South Africa 0.27 compare
- 77 Trinidad and Tobago 0.27 compare
More reference data data for Sri Lanka
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.1608 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.316 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 2.33 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1784 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 2.33 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.539 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.1604 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.63 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 10.15 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.9713 (2050)
Frequently asked questions
- What is inequality in per capita calorie intake in Sri Lanka?
- Inequality in per capita calorie intake in Sri Lanka was 0.27 in 2020, according to FAO (2017) – processed by Our World in Data.
- What is the highest inequality in per capita calorie intake recorded in Sri Lanka?
- The highest recorded value was 0.27 in 2020.
- What is the lowest inequality in per capita calorie intake recorded in Sri Lanka?
- The lowest recorded value was 0.24 in 2000.
- How does Sri Lanka rank for inequality in per capita calorie intake?
- Sri Lanka ranks 77th out of 185 countries with data for 2020.
- Is inequality in per capita calorie intake rising or falling in Sri Lanka?
- Over the last ten years it is up 12.5%. The long-run trend across the full record is flat.
- Where does this Sri Lanka data come from?
- The figures come from FAO (2017) – processed by Our World in Data, published as part of Inequality in per capita calorie intake. 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
The inequality in dietary calorie intake is measured as the coefficient of variation in energy intake. It represents the spread of intakes around the mean. Higher values represent larger levels of dietary inequality.