Barley 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
Barley and products — Residuals is currently reported for 85 countries. The highest value is 604 1000 t in Kazakhstan; the lowest is -678 1000 t in Romania.
The median across all reporting countries is 0 1000 t, and the mean is -3.8 1000 t.
Over the past decade 17 countries rose and 31 fell. The largest increase was in Hungary (up 255.0%), and the largest decrease in Lithuania (down 3,200.0%).
Barley and products — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Kazakhstan | 604 1000 t | 2023 | down 46.8% | volatile |
| 2 | Hungary | 71 1000 t | 2023 | up 255.0% | volatile |
| 3 | Laos | 5 1000 t | 2023 | — | volatile |
| 3 | Lao People's Democratic Republic | 5 1000 t | 2023 | — | volatile |
| 5 | Pakistan | 2 1000 t | 2023 | — | volatile |
| 6 | Afghanistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Australia | 0 1000 t | 2023 | — | volatile |
| 6 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Azerbaijan | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 6 | Brazil | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Barbados | 0 1000 t | 2023 | — | volatile |
| 6 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 6 | Canada | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Switzerland | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Chile | 0 1000 t | 2023 | — | volatile |
| 6 | Colombia | 0 1000 t | 2023 | — | volatile |
| 6 | Germany | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Denmark | 0 1000 t | 2023 | — | volatile |
| 6 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Algeria | 0 1000 t | 2023 | — | volatile |
| 6 | Egypt | 0 1000 t | 2023 | — | volatile |
| 6 | Spain | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Finland | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | France | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | United Kingdom | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Georgia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Ghana | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Guinea | 0 1000 t | 2023 | — | volatile |
| 6 | Honduras | 0 1000 t | 2023 | — | volatile |
| 6 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | India | 0 1000 t | 2023 | — | volatile |
| 6 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Iceland | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Italy | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 6 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 6 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 6 | Lesotho | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Latvia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Mexico | 0 1000 t | 2023 | — | volatile |
| 6 | Norway | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 6 | Peru | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Poland | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Russia | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 6 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Slovakia | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Syria | 0 1000 t | 2023 | — | volatile |
| 6 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 6 | Uganda | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Ukraine | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | United States | 0 1000 t | 2023 | — | volatile |
| 6 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 6 | Iran (Islamic Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 6 | Russian Federation | 0 1000 t | 2023 | up 100.0% | volatile |
| 6 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 6 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 6 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 175 | Belgium | -1 1000 t | 2023 | down 100.6% | volatile |
| 175 | Czechia | -1 1000 t | 2023 | up 99.0% | volatile |
| 175 | Croatia | -1 1000 t | 2023 | up 90.9% | volatile |
| 175 | Niger | -1 1000 t | 2023 | — | volatile |
| 179 | Greece | -2 1000 t | 2023 | down 100.0% | volatile |
| 179 | Mongolia | -2 1000 t | 2023 | — | volatile |
| 181 | Antigua and Barbuda | -3 1000 t | 2023 | — | volatile |
| 181 | Caribbean | -3 1000 t | 2023 | down 150.0% | volatile |
| 183 | Luxembourg | -7 1000 t | 2023 | — | volatile |
| 184 | Armenia | -9 1000 t | 2023 | — | volatile |
| 184 | Vietnam | -9 1000 t | 2023 | down 280.0% | volatile |
| 184 | Viet Nam | -9 1000 t | 2023 | down 280.0% | volatile |
| 187 | China | -20 1000 t | 2023 | — | volatile |
| 187 | China, Taiwan Province of | -20 1000 t | 2023 | — | volatile |
| 189 | Kenya | -29 1000 t | 2023 | — | volatile |
| 190 | Lithuania | -31 1000 t | 2023 | down 3,200.0% | volatile |
| 191 | United Republic of Tanzania | -36 1000 t | 2023 | — | volatile |
| 192 | Philippines | -148 1000 t | 2023 | down 64.4% | falling |
| 193 | Romania | -678 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.
- Central Asia 604 1000 t
- Land Locked Developing Countries (LLDCs) 594 1000 t
- Asia 422 1000 t
- Southern Asia 1 1000 t
- Oceania 0 1000 t
- South America 0 1000 t
- Northern America 0 1000 t
- Northern Africa 0 1000 t
- Southern Africa 0 1000 t
- Central America 0 1000 t
- Middle Africa 0 1000 t
- United States of America 0 1000 t
- Western Africa -1 1000 t
- Small island developing States (SIDS) -3 1000 t
- Southern Europe -3 1000 t
- Americas -4 1000 t
- Western Europe -9 1000 t
- Western Asia -9 1000 t
- Eastern Asia -22 1000 t
- Northern Europe -30 1000 t
- Least Developed Countries (LDCs) -34 1000 t
- Eastern Africa -67 1000 t
- Net Food Importing Developing Countries (NFIDCs) -67 1000 t
- Africa -68 1000 t
- Low Income Food Deficit Countries (LIFDCs) -68 1000 t
- South-Eastern Asia -153 1000 t
- World -299 1000 t
- Eastern Europe -607 1000 t
- European Union (27) -649 1000 t
- Europe -649 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.