Honey — Stock Variation 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
Honey — Stock Variation is currently reported for 181 countries. The highest value is 14 1000 t in China; the lowest is -4 1000 t in Argentina.
The median across all reporting countries is 0 1000 t, and the mean is 0.3702 1000 t.
The gap between the highest and lowest reporting country is a factor of about 4.
Over the past decade 20 countries rose and 20 fell. The largest increase was in Morocco (up 300.0%), and the largest decrease in Russian Federation (down 150.0%).
Honey — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 14 1000 t | 2023 | up 216.7% | volatile |
| 2 | China, mainland | 13 1000 t | 2023 | up 218.2% | volatile |
| 3 | Brazil | 8 1000 t | 2023 | up 100.0% | volatile |
| 4 | United Kingdom of Great Britain and Northern Ireland | 6 1000 t | 2023 | up 50.0% | volatile |
| 5 | Iran (Islamic Republic of) | 5 1000 t | 2023 | — | volatile |
| 6 | Hungary | 3 1000 t | 2023 | — | volatile |
| 7 | Chile | 2 1000 t | 2023 | — | volatile |
| 7 | Guatemala | 2 1000 t | 2023 | — | volatile |
| 7 | Ireland | 2 1000 t | 2023 | up 100.0% | rising |
| 7 | Morocco | 2 1000 t | 2023 | up 300.0% | volatile |
| 7 | Portugal | 2 1000 t | 2023 | up 100.0% | volatile |
| 7 | Romania | 2 1000 t | 2023 | down 33.3% | volatile |
| 7 | Uzbekistan | 2 1000 t | 2023 | up 100.0% | volatile |
| 7 | Republic of Moldova | 2 1000 t | 2023 | — | volatile |
| 15 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 15 | Colombia | 1 1000 t | 2023 | — | volatile |
| 15 | Czechia | 1 1000 t | 2023 | up 200.0% | volatile |
| 15 | Spain | 1 1000 t | 2023 | — | volatile |
| 15 | Greece | 1 1000 t | 2023 | down 66.7% | falling |
| 15 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 15 | Sierra Leone | 1 1000 t | 2023 | — | volatile |
| 15 | Thailand | 1 1000 t | 2023 | unchanged | volatile |
| 15 | Uruguay | 1 1000 t | 2023 | up 150.0% | volatile |
| 15 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 15 | Türkiye | 1 1000 t | 2023 | up 116.7% | volatile |
| 26 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 26 | Angola | 0 1000 t | 2023 | — | flat |
| 26 | Albania | 0 1000 t | 2023 | — | flat |
| 26 | Armenia | 0 1000 t | 2023 | — | flat |
| 26 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 26 | Australia | 0 1000 t | 2023 | up 100.0% | volatile |
| 26 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Belgium | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 26 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 26 | Bulgaria | 0 1000 t | 2023 | up 100.0% | flat |
| 26 | Bahrain | 0 1000 t | 2023 | — | flat |
| 26 | Bahamas | 0 1000 t | 2023 | — | flat |
| 26 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 26 | Belarus | 0 1000 t | 2023 | — | volatile |
| 26 | Belize | 0 1000 t | 2023 | — | flat |
| 26 | Barbados | 0 1000 t | 2023 | — | flat |
| 26 | Bhutan | 0 1000 t | 2023 | — | flat |
| 26 | Botswana | 0 1000 t | 2023 | — | flat |
| 26 | Canada | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Switzerland | 0 1000 t | 2023 | up 100.0% | volatile |
| 26 | Cameroon | 0 1000 t | 2023 | — | flat |
| 26 | Congo | 0 1000 t | 2023 | — | flat |
| 26 | Comoros | 0 1000 t | 2023 | — | flat |
| 26 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 26 | Cuba | 0 1000 t | 2019 | — | volatile |
| 26 | Cyprus | 0 1000 t | 2023 | — | flat |
| 26 | Germany | 0 1000 t | 2023 | up 100.0% | volatile |
| 26 | Djibouti | 0 1000 t | 2023 | — | flat |
| 26 | Denmark | 0 1000 t | 2023 | — | volatile |
| 26 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | flat |
| 26 | Algeria | 0 1000 t | 2023 | — | flat |
| 26 | Ecuador | 0 1000 t | 2023 | — | flat |
| 26 | Egypt | 0 1000 t | 2023 | down 100.0% | flat |
| 26 | Estonia | 0 1000 t | 2023 | — | flat |
| 26 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Finland | 0 1000 t | 2023 | — | volatile |
| 26 | Fiji | 0 1000 t | 2023 | — | flat |
| 26 | France | 0 1000 t | 2023 | — | flat |
| 26 | Gabon | 0 1000 t | 2023 | — | flat |
| 26 | Georgia | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Ghana | 0 1000 t | 2023 | — | flat |
| 26 | Guinea | 0 1000 t | 2023 | — | flat |
| 26 | Gambia | 0 1000 t | 2023 | — | flat |
| 26 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 26 | Grenada | 0 1000 t | 2023 | — | flat |
| 26 | Guyana | 0 1000 t | 2023 | — | flat |
| 26 | Honduras | 0 1000 t | 2023 | — | flat |
| 26 | Croatia | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Haiti | 0 1000 t | 2023 | — | flat |
| 26 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 26 | India | 0 1000 t | 2023 | down 100.0% | flat |
| 26 | Iraq | 0 1000 t | 2023 | — | flat |
| 26 | Iceland | 0 1000 t | 2023 | — | flat |
| 26 | Israel | 0 1000 t | 2023 | — | flat |
| 26 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Jamaica | 0 1000 t | 2023 | — | flat |
| 26 | Jordan | 0 1000 t | 2023 | — | flat |
| 26 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 26 | Kenya | 0 1000 t | 2023 | — | volatile |
| 26 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 26 | Cambodia | 0 1000 t | 2023 | — | flat |
| 26 | Kiribati | 0 1000 t | 2023 | — | flat |
| 26 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 26 | Lebanon | 0 1000 t | 2023 | — | flat |
| 26 | Liberia | 0 1000 t | 2023 | — | flat |
| 26 | Libya | 0 1000 t | 2023 | — | flat |
| 26 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 26 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 26 | Lesotho | 0 1000 t | 2023 | — | flat |
| 26 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 26 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 26 | Latvia | 0 1000 t | 2023 | — | volatile |
| 26 | Madagascar | 0 1000 t | 2023 | — | flat |
| 26 | Maldives | 0 1000 t | 2023 | — | flat |
| 26 | Mexico | 0 1000 t | 2023 | — | volatile |
| 26 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 26 | Malta | 0 1000 t | 2023 | — | flat |
| 26 | Myanmar | 0 1000 t | 2023 | — | flat |
| 26 | Montenegro | 0 1000 t | 2023 | — | flat |
| 26 | Mongolia | 0 1000 t | 2023 | — | flat |
| 26 | Mozambique | 0 1000 t | 2023 | — | flat |
| 26 | Mauritania | 0 1000 t | 2023 | — | flat |
| 26 | Mauritius | 0 1000 t | 2023 | — | flat |
| 26 | Malawi | 0 1000 t | 2023 | — | flat |
| 26 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 26 | Namibia | 0 1000 t | 2023 | — | flat |
| 26 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 26 | Niger | 0 1000 t | 2023 | — | flat |
| 26 | Nigeria | 0 1000 t | 2023 | — | flat |
| 26 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 26 | Norway | 0 1000 t | 2023 | — | volatile |
| 26 | Nepal | 0 1000 t | 2023 | — | volatile |
| 26 | Nauru | 0 1000 t | 2023 | — | flat |
| 26 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Oman | 0 1000 t | 2023 | — | flat |
| 26 | Pakistan | 0 1000 t | 2023 | — | flat |
| 26 | Panama | 0 1000 t | 2023 | — | flat |
| 26 | Peru | 0 1000 t | 2023 | — | flat |
| 26 | Philippines | 0 1000 t | 2023 | — | flat |
| 26 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 26 | Poland | 0 1000 t | 2023 | — | volatile |
| 26 | Paraguay | 0 1000 t | 2023 | — | flat |
| 26 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 26 | Qatar | 0 1000 t | 2023 | — | flat |
| 26 | Rwanda | 0 1000 t | 2023 | — | flat |
| 26 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Senegal | 0 1000 t | 2023 | — | flat |
| 26 | Solomon Islands | 0 1000 t | 2021 | — | flat |
| 26 | El Salvador | 0 1000 t | 2023 | — | flat |
| 26 | Serbia | 0 1000 t | 2023 | — | volatile |
| 26 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 26 | Suriname | 0 1000 t | 2023 | — | flat |
| 26 | Slovakia | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Slovenia | 0 1000 t | 2023 | up 100.0% | volatile |
| 26 | Sweden | 0 1000 t | 2023 | — | volatile |
| 26 | Eswatini | 0 1000 t | 2023 | — | flat |
| 26 | Seychelles | 0 1000 t | 2023 | — | flat |
| 26 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 26 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 26 | Tonga | 0 1000 t | 2023 | — | flat |
| 26 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 26 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 26 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 26 | Uganda | 0 1000 t | 2023 | — | flat |
| 26 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 26 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 26 | Samoa | 0 1000 t | 2023 | — | flat |
| 26 | Yemen | 0 1000 t | 2023 | — | volatile |
| 26 | Zambia | 0 1000 t | 2023 | — | flat |
| 26 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 26 | Micronesia | 0 1000 t | 2023 | — | flat |
| 26 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 26 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 26 | Melanesia | 0 1000 t | 2023 | — | flat |
| 26 | Polynesia | 0 1000 t | 2023 | — | flat |
| 26 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 26 | Caribbean | 0 1000 t | 2023 | down 100.0% | flat |
| 26 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 26 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 26 | Republic of Korea | 0 1000 t | 2023 | up 100.0% | volatile |
| 26 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 26 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 26 | Australia and New Zealand | 0 1000 t | 2023 | up 100.0% | volatile |
| 26 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 26 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 26 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | flat |
| 26 | China, Taiwan Province of | 0 1000 t | 2023 | up 100.0% | volatile |
| 26 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | down 100.0% | volatile |
| 26 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 26 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 26 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 178 | Russian Federation | -1 1000 t | 2023 | down 150.0% | volatile |
| 179 | United Arab Emirates | -2 1000 t | 2023 | — | volatile |
| 179 | Ukraine | -2 1000 t | 2023 | up 60.0% | volatile |
| 181 | Argentina | -4 1000 t | 2023 | down 33.3% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 60 1000 t
- Asia 28 1000 t
- Europe 19 1000 t
- Eastern Asia 19 1000 t
- European Union (27) 14 1000 t
- Americas 11 1000 t
- South America 9 1000 t
- Northern Europe 9 1000 t
- Eastern Europe 5 1000 t
- Southern Europe 5 1000 t
- Southern Asia 5 1000 t
- Land Locked Developing Countries (LLDCs) 5 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.