Rape and Mustardseed — 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
Rape and Mustardseed — Residuals is currently reported for 64 countries. The highest value is 38 1000 t in Canada; the lowest is -732 1000 t in Romania.
The median across all reporting countries is 0 1000 t, and the mean is -27.14 1000 t.
Over the past decade 5 countries rose and 7 fell. The largest increase was in Poland (up 128.6%), and the largest decrease in Senegal (down 500.0%).
Rape and Mustardseed — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 38 1000 t | 2023 | — | volatile |
| 2 | Lithuania | 7 1000 t | 2023 | — | volatile |
| 3 | Poland | 2 1000 t | 2023 | up 128.6% | volatile |
| 4 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 4 | Israel | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Italy | 0 1000 t | 2023 | — | volatile |
| 4 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 4 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 4 | Mexico | 0 1000 t | 2023 | — | volatile |
| 4 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 4 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 4 | Niger | 0 1000 t | 2023 | — | volatile |
| 4 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 4 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 4 | Vietnam | 0 1000 t | 2023 | — | volatile |
| 4 | United States | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 4 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 4 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 4 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 4 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 4 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 4 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 4 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 4 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 4 | Chile | 0 1000 t | 2023 | — | volatile |
| 4 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 4 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 4 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 4 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 4 | United Kingdom | 0 1000 t | 2023 | — | volatile |
| 4 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 4 | Croatia | 0 1000 t | 2023 | — | volatile |
| 163 | New Zealand | -1 1000 t | 2023 | — | volatile |
| 163 | Nigeria | -1 1000 t | 2023 | — | volatile |
| 163 | Netherlands (Kingdom of the) | -1 1000 t | 2023 | — | volatile |
| 163 | Uruguay | -1 1000 t | 2023 | — | volatile |
| 163 | Slovakia | -1 1000 t | 2023 | — | volatile |
| 163 | Iran (Islamic Republic of) | -1 1000 t | 2023 | — | volatile |
| 163 | Slovenia | -1 1000 t | 2023 | — | volatile |
| 170 | Trinidad and Tobago | -2 1000 t | 2023 | — | volatile |
| 170 | Germany | -2 1000 t | 2023 | down 100.0% | volatile |
| 170 | Greece | -2 1000 t | 2023 | — | volatile |
| 170 | Caribbean | -2 1000 t | 2023 | — | volatile |
| 174 | Guatemala | -3 1000 t | 2023 | down 50.0% | falling |
| 174 | Finland | -3 1000 t | 2023 | — | volatile |
| 176 | Norway | -4 1000 t | 2023 | up 42.9% | volatile |
| 176 | Latvia | -4 1000 t | 2023 | — | volatile |
| 178 | Estonia | -5 1000 t | 2023 | — | volatile |
| 179 | Senegal | -6 1000 t | 2023 | down 500.0% | volatile |
| 180 | Hungary | -9 1000 t | 2023 | — | volatile |
| 181 | Australia and New Zealand | -11 1000 t | 2023 | — | volatile |
| 181 | Czechia | -11 1000 t | 2023 | — | volatile |
| 181 | Australia | -11 1000 t | 2023 | — | volatile |
| 184 | Spain | -26 1000 t | 2023 | — | volatile |
| 185 | India | -42 1000 t | 2023 | — | volatile |
| 186 | Moldova | -52 1000 t | 2023 | — | volatile |
| 186 | Republic of Moldova | -52 1000 t | 2023 | — | volatile |
| 188 | South Africa | -54 1000 t | 2023 | — | volatile |
| 189 | Serbia | -59 1000 t | 2023 | — | volatile |
| 190 | Belgium | -92 1000 t | 2023 | — | volatile |
| 191 | Belarus | -235 1000 t | 2023 | — | volatile |
| 192 | France | -358 1000 t | 2023 | down 115.7% | volatile |
| 193 | Romania | -732 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Northern America 38 1000 t
- Americas 31 1000 t
- Northern Africa 0 1000 t
- Eastern Africa 0 1000 t
- United States of America 0 1000 t
- Middle Africa 0 1000 t
- Eastern Asia 0 1000 t
- Western Asia 0 1000 t
- South-Eastern Asia -1 1000 t
- Small island developing States (SIDS) -2 1000 t
- South America -2 1000 t
- Central America -3 1000 t
- Western Africa -6 1000 t
- Low Income Food Deficit Countries (LIFDCs) -6 1000 t
- Least Developed Countries (LDCs) -6 1000 t
- Net Food Importing Developing Countries (NFIDCs) -8 1000 t
- Northern Europe -9 1000 t
- Oceania -11 1000 t
- Southern Asia -43 1000 t
- Asia -44 1000 t
- Land Locked Developing Countries (LLDCs) -52 1000 t
- Southern Africa -54 1000 t
- Africa -61 1000 t
- Southern Europe -88 1000 t
- Western Europe -453 1000 t
- Eastern Europe -1,038 1000 t
- European Union (27) -1,237 1000 t
- Europe -1,587 1000 t
- World -1,671 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.