Pulses, Other and products — 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
Pulses, Other and products — Residuals is currently reported for 80 countries. The highest value is 26 1000 t in Djibouti; the lowest is -291 1000 t in Canada.
The median across all reporting countries is 0 1000 t, and the mean is -22.71 1000 t.
Over the past decade 8 countries rose and 7 fell. The largest increase was in France (up 100.0%), and the largest decrease in Canada (down 9,600.0%).
Pulses, Other and products — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Djibouti | 26 1000 t | 2023 | — | volatile |
| 2 | Kenya | 24 1000 t | 2023 | — | volatile |
| 3 | Austria | 0 1000 t | 2023 | — | volatile |
| 3 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 3 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Belarus | 0 1000 t | 2023 | — | volatile |
| 3 | Botswana | 0 1000 t | 2023 | — | volatile |
| 3 | Germany | 0 1000 t | 2023 | — | volatile |
| 3 | Egypt | 0 1000 t | 2023 | — | volatile |
| 3 | Spain | 0 1000 t | 2023 | — | volatile |
| 3 | Estonia | 0 1000 t | 2023 | — | volatile |
| 3 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 3 | France | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Greece | 0 1000 t | 2023 | — | volatile |
| 3 | Croatia | 0 1000 t | 2023 | — | volatile |
| 3 | Haiti | 0 1000 t | 2023 | — | volatile |
| 3 | Ireland | 0 1000 t | 2023 | — | volatile |
| 3 | Iraq | 0 1000 t | 2023 | — | volatile |
| 3 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 3 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 3 | Laos | 0 1000 t | 2023 | — | volatile |
| 3 | Sri Lanka | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 3 | Latvia | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Moldova | 0 1000 t | 2023 | — | volatile |
| 3 | Mexico | 0 1000 t | 2023 | — | volatile |
| 3 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Portugal | 0 1000 t | 2023 | — | volatile |
| 3 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 3 | Romania | 0 1000 t | 2023 | — | volatile |
| 3 | Russia | 0 1000 t | 2023 | — | volatile |
| 3 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 3 | Sweden | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Syria | 0 1000 t | 2023 | — | volatile |
| 3 | Thailand | 0 1000 t | 2023 | — | volatile |
| 3 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 3 | United States | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | South Africa | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 3 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 3 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 3 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 3 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 3 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 3 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 3 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | up 100.0% | volatile |
| 162 | Chile | -1 1000 t | 2023 | — | volatile |
| 162 | Ecuador | -1 1000 t | 2023 | up 50.0% | volatile |
| 162 | Malawi | -1 1000 t | 2023 | — | volatile |
| 162 | Peru | -1 1000 t | 2023 | — | volatile |
| 162 | Uzbekistan | -1 1000 t | 2023 | — | volatile |
| 162 | Zambia | -1 1000 t | 2023 | — | volatile |
| 168 | Argentina | -2 1000 t | 2023 | — | volatile |
| 168 | Uganda | -2 1000 t | 2023 | down 100.0% | volatile |
| 170 | Vietnam | -3 1000 t | 2023 | — | volatile |
| 170 | Viet Nam | -3 1000 t | 2023 | — | volatile |
| 172 | Bulgaria | -4 1000 t | 2023 | — | volatile |
| 172 | Pakistan | -4 1000 t | 2023 | — | volatile |
| 174 | Venezuela (Bolivarian Republic of) | -5 1000 t | 2023 | — | volatile |
| 175 | Nigeria | -6 1000 t | 2023 | — | volatile |
| 176 | Ukraine | -9 1000 t | 2023 | down 80.0% | volatile |
| 177 | Mozambique | -10 1000 t | 2023 | — | volatile |
| 178 | Afghanistan | -14 1000 t | 2023 | — | volatile |
| 178 | Belgium | -14 1000 t | 2023 | — | volatile |
| 180 | Turkey | -33 1000 t | 2023 | — | volatile |
| 180 | Türkiye | -33 1000 t | 2023 | — | volatile |
| 182 | Brazil | -54 1000 t | 2023 | down 2,600.0% | volatile |
| 183 | China | -62 1000 t | 2023 | — | volatile |
| 183 | China, Taiwan Province of | -62 1000 t | 2023 | — | volatile |
| 185 | Myanmar | -66 1000 t | 2023 | — | volatile |
| 186 | Denmark | -84 1000 t | 2023 | — | volatile |
| 187 | United Arab Emirates | -109 1000 t | 2023 | — | volatile |
| 188 | United Republic of Tanzania | -123 1000 t | 2023 | — | volatile |
| 189 | India | -146 1000 t | 2023 | — | volatile |
| 190 | Australia | -155 1000 t | 2023 | — | volatile |
| 190 | Australia and New Zealand | -155 1000 t | 2023 | — | volatile |
| 192 | United Kingdom | -206 1000 t | 2023 | — | volatile |
| 192 | United Kingdom of Great Britain and Northern Ireland | -206 1000 t | 2023 | — | volatile |
| 194 | Canada | -291 1000 t | 2023 | down 9,600.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Small island developing States (SIDS) 0 1000 t
- Southern Africa 0 1000 t
- Central America 0 1000 t
- Southern Europe 0 1000 t
- Middle Africa 0 1000 t
- United States of America 0 1000 t
- Central Asia -2 1000 t
- Western Africa -7 1000 t
- Eastern Europe -13 1000 t
- Western Europe -15 1000 t
- Land Locked Developing Countries (LLDCs) -19 1000 t
- Eastern Asia -62 1000 t
- South America -64 1000 t
- Northern Africa -64 1000 t
- South-Eastern Asia -69 1000 t
- Eastern Africa -89 1000 t
- European Union (27) -104 1000 t
- Western Asia -143 1000 t
- Oceania -155 1000 t
- Africa -160 1000 t
- Southern Asia -164 1000 t
- Low Income Food Deficit Countries (LIFDCs) -193 1000 t
- Net Food Importing Developing Countries (NFIDCs) -243 1000 t
- Least Developed Countries (LDCs) -256 1000 t
- Northern Europe -290 1000 t
- Northern America -291 1000 t
- Europe -318 1000 t
- Americas -355 1000 t
- Asia -439 1000 t
- World -1,427 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.