Starchy Roots — 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
Starchy Roots — Residuals is currently reported for 109 countries. The highest value is 9,514 1000 t in Nigeria; the lowest is -940 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 0 1000 t, and the mean is 58.72 1000 t.
The gap between the highest and lowest reporting country is a factor of about 10.
Over the past decade 13 countries rose and 20 fell. The largest increase was in Belarus (up 100.0%), and the largest decrease in Costa Rica (down 6,866.7%).
Starchy Roots — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 9,514 1000 t | 2023 | — | volatile |
| 2 | Armenia | 1 1000 t | 2023 | — | volatile |
| 2 | Laos | 1 1000 t | 2023 | — | volatile |
| 2 | Lao People's Democratic Republic | 1 1000 t | 2023 | — | volatile |
| 5 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Austria | 0 1000 t | 2023 | — | volatile |
| 5 | Belgium | 0 1000 t | 2023 | — | volatile |
| 5 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 5 | Belarus | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Brazil | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Canada | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Germany | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Denmark | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 5 | Finland | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | United Kingdom | 0 1000 t | 2023 | — | volatile |
| 5 | Ghana | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Guinea | 0 1000 t | 2023 | — | volatile |
| 5 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 5 | Guyana | 0 1000 t | 2023 | — | volatile |
| 5 | Haiti | 0 1000 t | 2023 | — | volatile |
| 5 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Jamaica | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Jordan | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 5 | Sri Lanka | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Lithuania | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | Morocco | 0 1000 t | 2023 | — | volatile |
| 5 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 5 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 5 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 5 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 5 | Norway | 0 1000 t | 2023 | down 100.0% | volatile |
| 5 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 5 | Panama | 0 1000 t | 2023 | — | volatile |
| 5 | Philippines | 0 1000 t | 2023 | — | volatile |
| 5 | Poland | 0 1000 t | 2023 | — | volatile |
| 5 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 5 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 5 | Suriname | 0 1000 t | 2023 | down 100.0% | flat |
| 5 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 5 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 5 | Syria | 0 1000 t | 2023 | — | volatile |
| 5 | Thailand | 0 1000 t | 2023 | — | volatile |
| 5 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 5 | East Timor | 0 1000 t | 2023 | — | volatile |
| 5 | Tonga | 0 1000 t | 2023 | — | volatile |
| 5 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 5 | Turkey | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Uganda | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 5 | Yemen | 0 1000 t | 2023 | — | volatile |
| 5 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 5 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 5 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 5 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 5 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 5 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 5 | Türkiye | 0 1000 t | 2023 | up 100.0% | volatile |
| 5 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 5 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 5 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 149 | Bangladesh | -1 1000 t | 2023 | — | volatile |
| 149 | Bahamas | -1 1000 t | 2023 | — | flat |
| 149 | Cameroon | -1 1000 t | 2023 | — | volatile |
| 149 | Cyprus | -1 1000 t | 2023 | — | volatile |
| 149 | Egypt | -1 1000 t | 2023 | — | volatile |
| 149 | Ethiopia | -1 1000 t | 2023 | — | volatile |
| 149 | France | -1 1000 t | 2023 | — | volatile |
| 149 | Malawi | -1 1000 t | 2023 | — | volatile |
| 149 | Solomon Islands | -1 1000 t | 2023 | — | volatile |
| 149 | Sierra Leone | -1 1000 t | 2023 | — | volatile |
| 149 | Sweden | -1 1000 t | 2023 | — | volatile |
| 149 | Vietnam | -1 1000 t | 2023 | — | volatile |
| 149 | Caribbean | -1 1000 t | 2023 | up 96.0% | volatile |
| 149 | Viet Nam | -1 1000 t | 2023 | — | volatile |
| 163 | Colombia | -2 1000 t | 2023 | down 100.0% | volatile |
| 163 | Latvia | -2 1000 t | 2023 | — | volatile |
| 163 | Madagascar | -2 1000 t | 2023 | down 100.0% | volatile |
| 163 | Republic of Korea | -2 1000 t | 2023 | — | volatile |
| 167 | Afghanistan | -3 1000 t | 2023 | — | volatile |
| 167 | Bulgaria | -3 1000 t | 2023 | — | volatile |
| 167 | Guinea-Bissau | -3 1000 t | 2023 | — | volatile |
| 167 | Myanmar | -3 1000 t | 2023 | — | volatile |
| 167 | Russia | -3 1000 t | 2023 | down 101.8% | volatile |
| 167 | Zambia | -3 1000 t | 2023 | down 200.0% | volatile |
| 167 | Russian Federation | -3 1000 t | 2023 | down 101.8% | volatile |
| 174 | Mozambique | -4 1000 t | 2023 | — | volatile |
| 175 | Czechia | -5 1000 t | 2023 | down 600.0% | flat |
| 176 | Fiji | -6 1000 t | 2023 | — | volatile |
| 177 | Cote d'Ivoire | -7 1000 t | 2023 | down 250.0% | volatile |
| 177 | South Africa | -7 1000 t | 2023 | — | volatile |
| 177 | Melanesia | -7 1000 t | 2023 | — | volatile |
| 177 | Côte d'Ivoire | -7 1000 t | 2023 | down 250.0% | volatile |
| 181 | United Arab Emirates | -8 1000 t | 2023 | — | volatile |
| 182 | Kenya | -12 1000 t | 2023 | — | volatile |
| 183 | India | -18 1000 t | 2023 | down 260.0% | volatile |
| 184 | Portugal | -19 1000 t | 2023 | — | volatile |
| 185 | Spain | -20 1000 t | 2023 | — | volatile |
| 186 | Ecuador | -41 1000 t | 2023 | — | volatile |
| 187 | Democratic Republic of the Congo | -79 1000 t | 2023 | — | volatile |
| 188 | Honduras | -83 1000 t | 2023 | — | volatile |
| 189 | China, mainland | -196 1000 t | 2023 | down 117.8% | volatile |
| 190 | Costa Rica | -209 1000 t | 2023 | down 6,866.7% | volatile |
| 191 | China, Taiwan Province of | -229 1000 t | 2023 | down 288.1% | volatile |
| 192 | China | -426 1000 t | 2023 | down 140.8% | volatile |
| 193 | Indonesia | -751 1000 t | 2023 | — | volatile |
| 194 | Netherlands (Kingdom of the) | -940 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.
- Western Africa 9,502 1000 t
- Africa 9,391 1000 t
- World 6,838 1000 t
- Northern America 0 1000 t
- Central Asia 0 1000 t
- Northern Africa -1 1000 t
- Northern Europe -3 1000 t
- Southern Africa -7 1000 t
- Land Locked Developing Countries (LLDCs) -7 1000 t
- Oceania -8 1000 t
- Western Asia -9 1000 t
- Small island developing States (SIDS) -12 1000 t
- Eastern Europe -12 1000 t
- Southern Asia -22 1000 t
- Eastern Africa -23 1000 t
- Southern Europe -39 1000 t
- South America -44 1000 t
- Middle Africa -80 1000 t
- Least Developed Countries (LDCs) -102 1000 t
- Low Income Food Deficit Countries (LIFDCs) -110 1000 t
- Net Food Importing Developing Countries (NFIDCs) -206 1000 t
- Central America -292 1000 t
- Americas -337 1000 t
- Eastern Asia -429 1000 t
- South-Eastern Asia -754 1000 t
- Western Europe -941 1000 t
- European Union (27) -993 1000 t
- Europe -995 1000 t
- Asia -1,214 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.