Honey — Food 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...
Countries reporting
181
Highest
293 1000 t
China
Lowest
0 1000 t
China, Macao SAR
Median
1 1000 t
Years covered
14
2010–2023
Data points
2,878
What the numbers show
Honey — Food is currently reported for 181 countries. The highest value is 293 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 9.98 1000 t.
Over the past decade 52 countries rose and 24 fell. The largest increase was in Sierra Leone (up 4,600.0%), and the largest decrease in Argentina (down 100.0%).
Honey — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 293 1000 t | 2023 | down 12.3% | flat |
| 2 | China, mainland | 278 1000 t | 2023 | down 12.9% | flat |
| 3 | Türkiye | 100 1000 t | 2023 | up 7.5% | rising |
| 4 | Germany | 80 1000 t | 2023 | down 7.0% | falling |
| 4 | Ethiopia | 80 1000 t | 2023 | up 86.0% | rising |
| 6 | Iran (Islamic Republic of) | 75 1000 t | 2023 | up 7.1% | flat |
| 7 | Russian Federation | 60 1000 t | 2023 | down 13.0% | falling |
| 8 | United Kingdom of Great Britain and Northern Ireland | 52 1000 t | 2023 | up 23.8% | rising |
| 9 | Sierra Leone | 47 1000 t | 2023 | up 4,600.0% | volatile |
| 10 | France | 44 1000 t | 2023 | up 25.7% | rising |
| 11 | Canada | 39 1000 t | 2023 | down 35.0% | falling |
| 12 | Mexico | 38 1000 t | 2023 | up 90.0% | rising |
| 13 | Republic of Korea | 30 1000 t | 2023 | up 20.0% | rising |
| 13 | United Republic of Tanzania | 30 1000 t | 2023 | up 11.1% | rising |
| 15 | Spain | 28 1000 t | 2023 | down 9.7% | flat |
| 15 | Italy | 28 1000 t | 2023 | up 75.0% | rising |
| 17 | Poland | 25 1000 t | 2023 | up 525.0% | volatile |
| 18 | Brazil | 24 1000 t | 2023 | up 71.4% | falling |
| 19 | Angola | 23 1000 t | 2023 | up 4.5% | flat |
| 19 | Greece | 23 1000 t | 2023 | up 35.3% | rising |
| 21 | Romania | 22 1000 t | 2023 | up 83.3% | rising |
| 22 | Saudi Arabia | 21 1000 t | 2023 | up 61.5% | rising |
| 23 | Kenya | 17 1000 t | 2023 | up 112.5% | rising |
| 23 | Australia and New Zealand | 17 1000 t | 2023 | down 26.1% | flat |
| 25 | Australia | 15 1000 t | 2023 | unchanged | falling |
| 26 | Uzbekistan | 13 1000 t | 2023 | up 160.0% | rising |
| 27 | China, Taiwan Province of | 12 1000 t | 2023 | unchanged | falling |
| 27 | Netherlands (Kingdom of the) | 12 1000 t | 2023 | up 20.0% | rising |
| 29 | Austria | 11 1000 t | 2023 | up 10.0% | falling |
| 29 | Switzerland | 11 1000 t | 2023 | unchanged | flat |
| 29 | Portugal | 11 1000 t | 2023 | up 37.5% | rising |
| 32 | Belgium | 10 1000 t | 2023 | up 42.9% | rising |
| 32 | Croatia | 10 1000 t | 2023 | up 233.3% | volatile |
| 32 | Serbia | 10 1000 t | 2023 | up 100.0% | rising |
| 35 | Morocco | 9 1000 t | 2023 | up 50.0% | rising |
| 36 | Czechia | 8 1000 t | 2023 | down 11.1% | flat |
| 37 | United Arab Emirates | 7 1000 t | 2023 | up 250.0% | volatile |
| 37 | Chile | 7 1000 t | 2023 | up 133.3% | volatile |
| 37 | Colombia | 7 1000 t | 2023 | up 133.3% | volatile |
| 37 | Sweden | 7 1000 t | 2023 | down 12.5% | falling |
| 41 | Algeria | 6 1000 t | 2023 | unchanged | falling |
| 41 | Ireland | 6 1000 t | 2023 | up 100.0% | rising |
| 41 | Israel | 6 1000 t | 2023 | up 50.0% | rising |
| 41 | Rwanda | 6 1000 t | 2023 | up 50.0% | rising |
| 45 | Albania | 5 1000 t | 2023 | up 66.7% | rising |
| 45 | Lithuania | 5 1000 t | 2023 | up 150.0% | rising |
| 45 | Nepal | 5 1000 t | 2023 | up 150.0% | rising |
| 48 | Azerbaijan | 4 1000 t | 2023 | up 100.0% | rising |
| 48 | Bosnia and Herzegovina | 4 1000 t | 2023 | up 33.3% | falling |
| 48 | Cameroon | 4 1000 t | 2023 | unchanged | flat |
| 48 | Finland | 4 1000 t | 2023 | up 33.3% | rising |
| 48 | Kazakhstan | 4 1000 t | 2023 | up 100.0% | rising |
| 48 | Madagascar | 4 1000 t | 2023 | up 100.0% | rising |
| 48 | Senegal | 4 1000 t | 2023 | up 33.3% | rising |
| 48 | Slovakia | 4 1000 t | 2023 | down 20.0% | falling |
| 48 | Tajikistan | 4 1000 t | 2023 | up 33.3% | rising |
| 48 | Tunisia | 4 1000 t | 2023 | up 33.3% | rising |
| 48 | Caribbean | 4 1000 t | 2023 | up 33.3% | rising |
| 59 | Bulgaria | 3 1000 t | 2023 | — | volatile |
| 59 | Denmark | 3 1000 t | 2023 | down 25.0% | falling |
| 59 | Guatemala | 3 1000 t | 2023 | up 50.0% | rising |
| 59 | Kyrgyzstan | 3 1000 t | 2023 | up 200.0% | rising |
| 59 | Myanmar | 3 1000 t | 2023 | up 200.0% | volatile |
| 59 | Malaysia | 3 1000 t | 2023 | up 200.0% | volatile |
| 59 | Norway | 3 1000 t | 2023 | up 50.0% | rising |
| 59 | Thailand | 3 1000 t | 2023 | unchanged | falling |
| 59 | Yemen | 3 1000 t | 2023 | unchanged | flat |
| 59 | China, Hong Kong SAR | 3 1000 t | 2023 | unchanged | falling |
| 59 | Syrian Arab Republic | 3 1000 t | 2023 | up 50.0% | flat |
| 70 | Armenia | 2 1000 t | 2023 | unchanged | flat |
| 70 | Belarus | 2 1000 t | 2023 | down 33.3% | falling |
| 70 | Cuba | 2 1000 t | 2019 | up 100.0% | rising |
| 70 | Georgia | 2 1000 t | 2023 | down 33.3% | falling |
| 70 | Indonesia | 2 1000 t | 2023 | unchanged | volatile |
| 70 | Libya | 2 1000 t | 2023 | unchanged | rising |
| 70 | Latvia | 2 1000 t | 2023 | unchanged | rising |
| 70 | North Macedonia | 2 1000 t | 2023 | up 100.0% | volatile |
| 70 | New Zealand | 2 1000 t | 2023 | down 71.4% | rising |
| 70 | Oman | 2 1000 t | 2023 | unchanged | rising |
| 70 | Peru | 2 1000 t | 2023 | up 100.0% | rising |
| 70 | Paraguay | 2 1000 t | 2023 | unchanged | flat |
| 70 | Qatar | 2 1000 t | 2023 | — | flat |
| 70 | Slovenia | 2 1000 t | 2023 | down 33.3% | flat |
| 70 | Uruguay | 2 1000 t | 2023 | down 75.0% | volatile |
| 85 | Afghanistan | 1 1000 t | 2023 | down 50.0% | falling |
| 85 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 85 | Costa Rica | 1 1000 t | 2023 | unchanged | flat |
| 85 | Cyprus | 1 1000 t | 2023 | unchanged | flat |
| 85 | Dominican Republic | 1 1000 t | 2023 | unchanged | rising |
| 85 | Ecuador | 1 1000 t | 2023 | unchanged | flat |
| 85 | Egypt | 1 1000 t | 2023 | down 66.7% | falling |
| 85 | Estonia | 1 1000 t | 2023 | unchanged | flat |
| 85 | Guinea | 1 1000 t | 2023 | unchanged | flat |
| 85 | Iraq | 1 1000 t | 2023 | unchanged | volatile |
| 85 | Jamaica | 1 1000 t | 2023 | unchanged | flat |
| 85 | Jordan | 1 1000 t | 2023 | unchanged | flat |
| 85 | Kuwait | 1 1000 t | 2023 | unchanged | rising |
| 85 | Lebanon | 1 1000 t | 2023 | down 50.0% | falling |
| 85 | Montenegro | 1 1000 t | 2023 | unchanged | falling |
| 85 | Mozambique | 1 1000 t | 2023 | unchanged | rising |
| 85 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 85 | Philippines | 1 1000 t | 2023 | unchanged | volatile |
| 85 | El Salvador | 1 1000 t | 2023 | — | volatile |
| 85 | Turkmenistan | 1 1000 t | 2023 | unchanged | rising |
| 85 | Ukraine | 1 1000 t | 2023 | down 98.1% | volatile |
| 85 | Timor-Leste | 1 1000 t | 2023 | — | volatile |
| 85 | Melanesia | 1 1000 t | 2023 | unchanged | volatile |
| 85 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | unchanged | flat |
| 85 | Republic of Moldova | 1 1000 t | 2023 | down 50.0% | volatile |
| 85 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | unchanged | flat |
| 85 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | flat |
| 112 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 112 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 112 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 112 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 112 | Bahamas | 0 1000 t | 2023 | — | flat |
| 112 | Belize | 0 1000 t | 2023 | — | flat |
| 112 | Barbados | 0 1000 t | 2023 | — | flat |
| 112 | Bhutan | 0 1000 t | 2023 | — | flat |
| 112 | Botswana | 0 1000 t | 2023 | — | flat |
| 112 | Congo | 0 1000 t | 2023 | — | flat |
| 112 | Comoros | 0 1000 t | 2023 | — | flat |
| 112 | Djibouti | 0 1000 t | 2023 | — | flat |
| 112 | Fiji | 0 1000 t | 2023 | — | flat |
| 112 | Gabon | 0 1000 t | 2023 | — | flat |
| 112 | Ghana | 0 1000 t | 2023 | — | flat |
| 112 | Gambia | 0 1000 t | 2023 | — | flat |
| 112 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 112 | Grenada | 0 1000 t | 2023 | — | flat |
| 112 | Guyana | 0 1000 t | 2023 | — | flat |
| 112 | Honduras | 0 1000 t | 2023 | — | flat |
| 112 | Haiti | 0 1000 t | 2023 | — | flat |
| 112 | Hungary | 0 1000 t | 2023 | — | volatile |
| 112 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 112 | Iceland | 0 1000 t | 2023 | — | flat |
| 112 | Cambodia | 0 1000 t | 2023 | — | flat |
| 112 | Kiribati | 0 1000 t | 2023 | — | flat |
| 112 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 112 | Liberia | 0 1000 t | 2023 | — | flat |
| 112 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 112 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 112 | Lesotho | 0 1000 t | 2023 | — | flat |
| 112 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 112 | Maldives | 0 1000 t | 2023 | — | flat |
| 112 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 112 | Malta | 0 1000 t | 2023 | — | flat |
| 112 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 112 | Mauritania | 0 1000 t | 2023 | — | flat |
| 112 | Mauritius | 0 1000 t | 2023 | — | flat |
| 112 | Malawi | 0 1000 t | 2023 | — | flat |
| 112 | Namibia | 0 1000 t | 2023 | — | volatile |
| 112 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 112 | Niger | 0 1000 t | 2023 | — | flat |
| 112 | Nigeria | 0 1000 t | 2023 | — | flat |
| 112 | Nauru | 0 1000 t | 2023 | — | flat |
| 112 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 112 | Panama | 0 1000 t | 2023 | — | volatile |
| 112 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 112 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 112 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 112 | Suriname | 0 1000 t | 2023 | — | flat |
| 112 | Eswatini | 0 1000 t | 2023 | — | flat |
| 112 | Seychelles | 0 1000 t | 2023 | — | flat |
| 112 | Tonga | 0 1000 t | 2023 | — | flat |
| 112 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 112 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 112 | Uganda | 0 1000 t | 2023 | — | flat |
| 112 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 112 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 112 | Samoa | 0 1000 t | 2023 | — | flat |
| 112 | Zambia | 0 1000 t | 2023 | — | flat |
| 112 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 112 | Micronesia | 0 1000 t | 2023 | — | flat |
| 112 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 112 | Polynesia | 0 1000 t | 2023 | — | flat |
| 112 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 112 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 112 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 112 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 112 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 112 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,810 1000 t
- Asia 637 1000 t
- Europe 505 1000 t
- Americas 385 1000 t
- Eastern Asia 361 1000 t
- European Union (27) 353 1000 t
- Northern America 291 1000 t
- Net Food Importing Developing Countries (NFIDCs) 269 1000 t
- Africa 265 1000 t
- United States of America 251 1000 t
- Low Income Food Deficit Countries (LIFDCs) 245 1000 t
- Least Developed Countries (LDCs) 227 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.