Miscellaneous — Residuals by country
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...
What the numbers show
Miscellaneous — Residuals is currently reported for 65 countries. The highest value is 0 1000 t in Eswatini; the lowest is -1,907 1000 t in China.
The median across all reporting countries is -24 1000 t, and the mean is -157.11 1000 t.
Over the past decade 14 countries rose and 23 fell. The largest increase was in Croatia (up 100.0%), and the largest decrease in Vietnam (down 950.0%).
Miscellaneous — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 1 | Croatia | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Israel | 0 1000 t | 2023 | — | volatile |
| 1 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 1 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 1 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 1 | Niger | 0 1000 t | 2023 | — | volatile |
| 1 | New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Oman | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Senegal | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 1 | Melanesia | 0 1000 t | 2023 | — | volatile |
| 1 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 1 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 1 | Australia and New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 1 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 1 | Estonia | 0 1000 t | 2023 | — | volatile |
| 1 | Switzerland | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Czechia | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 152 | Caribbean | -1 1000 t | 2023 | — | volatile |
| 153 | Trinidad and Tobago | -3 1000 t | 2023 | — | volatile |
| 154 | Guatemala | -4 1000 t | 2023 | up 88.6% | volatile |
| 155 | Tunisia | -5 1000 t | 2023 | up 58.3% | falling |
| 155 | Morocco | -5 1000 t | 2023 | — | volatile |
| 157 | Côte d'Ivoire | -6 1000 t | 2023 | down 200.0% | volatile |
| 157 | Cote d'Ivoire | -6 1000 t | 2023 | down 200.0% | volatile |
| 159 | Malta | -8 1000 t | 2023 | up 50.0% | rising |
| 160 | Bahrain | -10 1000 t | 2023 | — | volatile |
| 161 | Slovakia | -12 1000 t | 2023 | — | volatile |
| 162 | Greece | -24 1000 t | 2023 | — | volatile |
| 163 | Lithuania | -25 1000 t | 2023 | — | volatile |
| 164 | Germany | -27 1000 t | 2023 | up 89.8% | rising |
| 165 | Denmark | -29 1000 t | 2023 | up 85.2% | rising |
| 166 | Argentina | -31 1000 t | 2023 | up 27.9% | rising |
| 167 | Pakistan | -33 1000 t | 2023 | — | volatile |
| 168 | Hungary | -34 1000 t | 2023 | down 240.0% | volatile |
| 169 | Ukraine | -35 1000 t | 2023 | up 41.7% | falling |
| 170 | Malaysia | -44 1000 t | 2023 | up 40.5% | rising |
| 171 | Serbia | -48 1000 t | 2023 | down 128.6% | falling |
| 172 | Costa Rica | -55 1000 t | 2023 | down 44.7% | falling |
| 173 | Austria | -58 1000 t | 2023 | — | volatile |
| 174 | Russia | -74 1000 t | 2023 | — | volatile |
| 174 | Russian Federation | -74 1000 t | 2023 | — | volatile |
| 176 | Brazil | -101 1000 t | 2023 | down 40.3% | volatile |
| 177 | South Africa | -157 1000 t | 2023 | — | volatile |
| 178 | Republic of Korea | -175 1000 t | 2023 | down 62.0% | volatile |
| 179 | Mexico | -179 1000 t | 2023 | — | volatile |
| 180 | Vietnam | -210 1000 t | 2023 | down 950.0% | volatile |
| 180 | Viet Nam | -210 1000 t | 2023 | down 950.0% | volatile |
| 182 | India | -242 1000 t | 2023 | down 261.2% | volatile |
| 183 | Egypt | -243 1000 t | 2023 | — | volatile |
| 184 | Spain | -248 1000 t | 2023 | down 86.5% | falling |
| 185 | Turkey | -253 1000 t | 2023 | down 47.1% | falling |
| 185 | Türkiye | -253 1000 t | 2023 | down 47.1% | falling |
| 187 | Belgium | -276 1000 t | 2023 | down 80.4% | falling |
| 188 | Poland | -292 1000 t | 2023 | down 44.6% | falling |
| 189 | Indonesia | -341 1000 t | 2023 | down 394.2% | volatile |
| 190 | Netherlands (Kingdom of the) | -559 1000 t | 2023 | down 38.0% | falling |
| 191 | Italy | -964 1000 t | 2023 | down 94.0% | falling |
| 192 | Thailand | -1,044 1000 t | 2023 | down 37.5% | falling |
| 193 | China, mainland | -1,907 1000 t | 2023 | down 53.3% | falling |
| 193 | China | -1,907 1000 t | 2023 | down 53.3% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Oceania 0 1000 t
- Least Developed Countries (LDCs) 0 1000 t
- Land Locked Developing Countries (LLDCs) 0 1000 t
- Low Income Food Deficit Countries (LIFDCs) 0 1000 t
- Small island developing States (SIDS) -1 1000 t
- Western Africa -6 1000 t
- Northern Europe -53 1000 t
- South America -132 1000 t
- Southern Africa -157 1000 t
- Central America -238 1000 t
- Northern Africa -253 1000 t
- Western Asia -263 1000 t
- Southern Asia -275 1000 t
- Net Food Importing Developing Countries (NFIDCs) -294 1000 t
- Americas -371 1000 t
- Africa -416 1000 t
- Eastern Europe -447 1000 t
- Western Europe -920 1000 t
- Southern Europe -1,292 1000 t
- South-Eastern Asia -1,639 1000 t
- Eastern Asia -2,082 1000 t
- European Union (27) -2,554 1000 t
- Europe -2,712 1000 t
- Asia -4,259 1000 t
- World -7,758 1000 t
About this data
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.