Inequality in per capita calorie intake in Croatia
Croatia: Inequality in per capita calorie intake was 0.22 in 2020. ▬ Flat
Inequality in per capita calorie intake in Croatia, 2000–2020
Source: FAO (2017) – processed by Our World in Data.
Analysis
Croatia recorded 0.22 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 4.8% on the previous year and up 4.8% over ten years.
Over the whole period, inequality in per capita calorie intake in Croatia peaked at 0.22 in 2020 and was at its lowest, 0.21, in 2000.
Croatia ranks 133rd of 185 countries on this measure, in the middle of the range.
Inequality in per capita calorie intake in Croatia, year by year
| Year | Value | Change |
|---|---|---|
| 2000 | 0.21 | — |
| 2001 | 0.21 | +0.0% |
| 2002 | 0.21 | +0.0% |
| 2003 | 0.21 | +0.0% |
| 2004 | 0.21 | +0.0% |
| 2005 | 0.21 | +0.0% |
| 2006 | 0.21 | +0.0% |
| 2007 | 0.21 | +0.0% |
| 2008 | 0.21 | +0.0% |
| 2009 | 0.21 | +0.0% |
| 2010 | 0.21 | +0.0% |
| 2011 | 0.21 | +0.0% |
| 2012 | 0.21 | +0.0% |
| 2013 | 0.21 | +0.0% |
| 2014 | 0.21 | +0.0% |
| 2015 | 0.21 | +0.0% |
| 2016 | 0.21 | +0.0% |
| 2017 | 0.21 | +0.0% |
| 2018 | 0.21 | +0.0% |
| 2019 | 0.21 | +0.0% |
| 2020 | 0.22 | +4.8% |
Croatia compared with similar countries
- Croatia's 0.22 is above the median for high income countries, which is 0.21, 1.0× the median. (60 countries reporting)
- Croatia'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 | 0.21 | 0.21 | 0.21 | 10 |
| 2010s | 0.21 | 0.21 | 0.21 | 10 |
| 2020s | 0.22 | 0.22 | 0.22 | 1 |
Countries ranked near Croatia
- 133 Barbados 0.22 compare
- 133 Bosnia and Herzegovina 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 Serbia 0.22 compare
- 133 South Korea 0.22 compare
- 133 Taiwan 0.22 compare
- 133 Uruguay 0.22 compare
More reference data data for Croatia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2598 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1516 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.85 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1326 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.85 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.8711 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.5399 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.6476 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 8.13 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.7218 (2050)
Frequently asked questions
- What is inequality in per capita calorie intake in Croatia?
- Inequality in per capita calorie intake in Croatia 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 Croatia?
- The highest recorded value was 0.22 in 2020.
- What is the lowest inequality in per capita calorie intake recorded in Croatia?
- The lowest recorded value was 0.21 in 2000.
- How does Croatia rank for inequality in per capita calorie intake?
- Croatia ranks 133rd out of 185 countries with data for 2020.
- Is inequality in per capita calorie intake rising or falling in Croatia?
- Over the last ten years it is up 4.8%. The long-run trend across the full record is flat.
- Where does this Croatia 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.