Inequality in per capita calorie intake in Serbia
Serbia: Inequality in per capita calorie intake was 0.22 in 2020. ▬ Flat
Inequality in per capita calorie intake in Serbia, 2000–2020
Source: FAO (2017) – processed by Our World in Data.
Analysis
The most recent figure for inequality in per capita calorie intake in Serbia is 0.22, measured in 2020. That is the highest value across all 21 years on record.
That represents a change of up 10.0% on the previous year and up 10.0% over ten years.
Over the whole period, inequality in per capita calorie intake in Serbia peaked at 0.22 in 2020 and was at its lowest, 0.2, in 2000.
Serbia ranks 133rd of 185 countries on this measure, in the middle of the range.
Inequality in per capita calorie intake in Serbia, year by year
| Year | Value | Change |
|---|---|---|
| 2000 | 0.2 | — |
| 2001 | 0.2 | +0.0% |
| 2002 | 0.2 | +0.0% |
| 2003 | 0.2 | +0.0% |
| 2004 | 0.2 | +0.0% |
| 2005 | 0.2 | +0.0% |
| 2006 | 0.2 | +0.0% |
| 2007 | 0.2 | +0.0% |
| 2008 | 0.2 | +0.0% |
| 2009 | 0.2 | +0.0% |
| 2010 | 0.2 | +0.0% |
| 2011 | 0.2 | +0.0% |
| 2012 | 0.2 | +0.0% |
| 2013 | 0.2 | +0.0% |
| 2014 | 0.2 | +0.0% |
| 2015 | 0.2 | +0.0% |
| 2016 | 0.2 | +0.0% |
| 2017 | 0.2 | +0.0% |
| 2018 | 0.2 | +0.0% |
| 2019 | 0.2 | +0.0% |
| 2020 | 0.22 | +10.0% |
Serbia compared with similar countries
- Serbia's 0.22 is below the median for upper middle income countries, which is 0.26, 85% of the median. (53 countries reporting)
- Serbia's 0.22 is above the median for Europe & Central Asia, which is 0.21, 1.0× the median. (48 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.2 | 0.2 | 0.2 | 10 |
| 2010s | 0.2 | 0.2 | 0.2 | 10 |
| 2020s | 0.22 | 0.22 | 0.22 | 1 |
Countries ranked near Serbia
- 133 Barbados 0.22 compare
- 133 Bosnia and Herzegovina 0.22 compare
- 133 Croatia 0.22 compare
- 133 Hong Kong 0.22 compare
- 133 Latvia 0.22 compare
- 133 Montenegro 0.22 compare
- 133 Saint Lucia 0.22 compare
- 133 Sao Tome and Principe 0.22 compare
- 133 South Korea 0.22 compare
- 133 Taiwan 0.22 compare
- 133 Uruguay 0.22 compare
More reference data data for Serbia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.6055 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.3321 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 3.36 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.3467 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 3.36 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.03 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.29 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.44 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 15.2 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.89 (2050)
Frequently asked questions
- What is inequality in per capita calorie intake in Serbia?
- Inequality in per capita calorie intake in Serbia was 0.22 in 2020, according to FAO (2017) – processed by Our World in Data.
- What is the highest inequality in per capita calorie intake recorded in Serbia?
- The highest recorded value was 0.22 in 2020.
- What is the lowest inequality in per capita calorie intake recorded in Serbia?
- The lowest recorded value was 0.2 in 2000.
- How does Serbia rank for inequality in per capita calorie intake?
- Serbia ranks 133rd out of 185 countries with data for 2020.
- Is inequality in per capita calorie intake rising or falling in Serbia?
- Over the last ten years it is up 10.0%. The long-run trend across the full record is flat.
- Where does this Serbia 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.