Beans — 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
Beans — Residuals is currently reported for 26 countries. The highest value is 0 1000 t in Nicaragua; the lowest is -262 1000 t in Uzbekistan.
The median across all reporting countries is 0 1000 t, and the mean is -11.08 1000 t.
Over the past decade 7 countries rose and 3 fell. The largest increase was in Zambia (up 100.0%), and the largest decrease in Nicaragua (down 100.0%).
Beans — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Zambia | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 1 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Senegal | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 1 | Australia and New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Afghanistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Mexico | 0 1000 t | 2023 | — | volatile |
| 1 | Latvia | 0 1000 t | 2023 | — | volatile |
| 1 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | France | 0 1000 t | 2023 | — | volatile |
| 1 | Colombia | 0 1000 t | 2023 | — | volatile |
| 1 | Canada | 0 1000 t | 2023 | — | volatile |
| 1 | Brazil | 0 1000 t | 2023 | — | volatile |
| 1 | Belize | 0 1000 t | 2023 | — | volatile |
| 1 | Burkina Faso | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Australia | 0 1000 t | 2023 | up 100.0% | volatile |
| 186 | Niger | -1 1000 t | 2023 | — | volatile |
| 187 | Paraguay | -2 1000 t | 2023 | — | flat |
| 187 | Botswana | -2 1000 t | 2023 | — | volatile |
| 189 | Turkmenistan | -4 1000 t | 2023 | — | volatile |
| 190 | Poland | -8 1000 t | 2023 | — | volatile |
| 191 | South Africa | -9 1000 t | 2023 | — | volatile |
| 192 | Uzbekistan | -262 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 0 1000 t
- Oceania 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Western Europe 0 1000 t
- Eastern Africa 0 1000 t
- Central America 0 1000 t
- Northern Europe 0 1000 t
- Middle Africa 0 1000 t
- Southern Asia 0 1000 t
- Western Africa -1 1000 t
- Least Developed Countries (LDCs) -1 1000 t
- Net Food Importing Developing Countries (NFIDCs) -2 1000 t
- South America -2 1000 t
- Americas -2 1000 t
- Europe -8 1000 t
- Eastern Europe -9 1000 t
- European Union (27) -9 1000 t
- Africa -11 1000 t
- Southern Africa -11 1000 t
- Low Income Food Deficit Countries (LIFDCs) -262 1000 t
- Central Asia -266 1000 t
- Asia -266 1000 t
- Land Locked Developing Countries (LLDCs) -270 1000 t
- World -288 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.