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...
What the numbers show
Honey — Food is currently reported for 131 countries. The highest value is 293 1000 t in China; the lowest is 0 1000 t in Viet Nam.
The median across all reporting countries is 3 1000 t, and the mean is 17.41 1000 t.
Over the past decade 57 countries rose and 26 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 | United States | 251 1000 t | 2023 | up 17.3% | rising |
| 4 | Turkey | 100 1000 t | 2023 | up 7.5% | rising |
| 4 | Türkiye | 100 1000 t | 2023 | up 7.5% | rising |
| 6 | Germany | 80 1000 t | 2023 | down 7.0% | falling |
| 6 | Ethiopia | 80 1000 t | 2023 | up 86.0% | rising |
| 8 | Iran (Islamic Republic of) | 75 1000 t | 2023 | up 7.1% | flat |
| 9 | Russia | 60 1000 t | 2023 | down 13.0% | falling |
| 9 | Russian Federation | 60 1000 t | 2023 | down 13.0% | falling |
| 11 | United Kingdom | 52 1000 t | 2023 | up 23.8% | rising |
| 11 | United Kingdom of Great Britain and Northern Ireland | 52 1000 t | 2023 | up 23.8% | rising |
| 13 | Sierra Leone | 47 1000 t | 2023 | up 4,600.0% | volatile |
| 14 | France | 44 1000 t | 2023 | up 25.7% | rising |
| 15 | Canada | 39 1000 t | 2023 | down 35.0% | falling |
| 16 | Mexico | 38 1000 t | 2023 | up 90.0% | rising |
| 17 | Republic of Korea | 30 1000 t | 2023 | up 20.0% | rising |
| 17 | United Republic of Tanzania | 30 1000 t | 2023 | up 11.1% | rising |
| 19 | Spain | 28 1000 t | 2023 | down 9.7% | flat |
| 19 | Italy | 28 1000 t | 2023 | up 75.0% | rising |
| 21 | Poland | 25 1000 t | 2023 | up 525.0% | volatile |
| 22 | Brazil | 24 1000 t | 2023 | up 71.4% | falling |
| 23 | Angola | 23 1000 t | 2023 | up 4.5% | flat |
| 23 | Greece | 23 1000 t | 2023 | up 35.3% | rising |
| 25 | Romania | 22 1000 t | 2023 | up 83.3% | rising |
| 26 | Saudi Arabia | 21 1000 t | 2023 | up 61.5% | rising |
| 27 | Kenya | 17 1000 t | 2023 | up 112.5% | rising |
| 27 | Australia and New Zealand | 17 1000 t | 2023 | down 26.1% | flat |
| 29 | Australia | 15 1000 t | 2023 | unchanged | falling |
| 30 | Uzbekistan | 13 1000 t | 2023 | up 160.0% | rising |
| 31 | China, Taiwan Province of | 12 1000 t | 2023 | unchanged | falling |
| 31 | Netherlands (Kingdom of the) | 12 1000 t | 2023 | up 20.0% | rising |
| 33 | Austria | 11 1000 t | 2023 | up 10.0% | falling |
| 33 | Switzerland | 11 1000 t | 2023 | unchanged | flat |
| 33 | Portugal | 11 1000 t | 2023 | up 37.5% | rising |
| 36 | Belgium | 10 1000 t | 2023 | up 42.9% | rising |
| 36 | Croatia | 10 1000 t | 2023 | up 233.3% | volatile |
| 36 | Serbia | 10 1000 t | 2023 | up 100.0% | rising |
| 39 | Morocco | 9 1000 t | 2023 | up 50.0% | rising |
| 40 | Czechia | 8 1000 t | 2023 | down 11.1% | flat |
| 41 | United Arab Emirates | 7 1000 t | 2023 | up 250.0% | volatile |
| 41 | Chile | 7 1000 t | 2023 | up 133.3% | volatile |
| 41 | Colombia | 7 1000 t | 2023 | up 133.3% | volatile |
| 41 | Sweden | 7 1000 t | 2023 | down 12.5% | falling |
| 45 | Algeria | 6 1000 t | 2023 | unchanged | falling |
| 45 | Ireland | 6 1000 t | 2023 | up 100.0% | rising |
| 45 | Israel | 6 1000 t | 2023 | up 50.0% | rising |
| 45 | Rwanda | 6 1000 t | 2023 | up 50.0% | rising |
| 49 | Albania | 5 1000 t | 2023 | up 66.7% | rising |
| 49 | Lithuania | 5 1000 t | 2023 | up 150.0% | rising |
| 49 | Nepal | 5 1000 t | 2023 | up 150.0% | rising |
| 49 | South Africa | 5 1000 t | 2023 | up 66.7% | rising |
| 53 | Azerbaijan | 4 1000 t | 2023 | up 100.0% | rising |
| 53 | Bosnia and Herzegovina | 4 1000 t | 2023 | up 33.3% | falling |
| 53 | Cameroon | 4 1000 t | 2023 | unchanged | flat |
| 53 | Finland | 4 1000 t | 2023 | up 33.3% | rising |
| 53 | Kazakhstan | 4 1000 t | 2023 | up 100.0% | rising |
| 53 | Madagascar | 4 1000 t | 2023 | up 100.0% | rising |
| 53 | Senegal | 4 1000 t | 2023 | up 33.3% | rising |
| 53 | Slovakia | 4 1000 t | 2023 | down 20.0% | falling |
| 53 | Tajikistan | 4 1000 t | 2023 | up 33.3% | rising |
| 53 | Tunisia | 4 1000 t | 2023 | up 33.3% | rising |
| 53 | Caribbean | 4 1000 t | 2023 | up 33.3% | rising |
| 64 | Bulgaria | 3 1000 t | 2023 | — | volatile |
| 64 | Denmark | 3 1000 t | 2023 | down 25.0% | falling |
| 64 | Guatemala | 3 1000 t | 2023 | up 50.0% | rising |
| 64 | Kyrgyzstan | 3 1000 t | 2023 | up 200.0% | rising |
| 64 | Myanmar | 3 1000 t | 2023 | up 200.0% | volatile |
| 64 | Malaysia | 3 1000 t | 2023 | up 200.0% | volatile |
| 64 | Norway | 3 1000 t | 2023 | up 50.0% | rising |
| 64 | Syria | 3 1000 t | 2023 | up 50.0% | flat |
| 64 | Thailand | 3 1000 t | 2023 | unchanged | falling |
| 64 | Yemen | 3 1000 t | 2023 | unchanged | flat |
| 64 | China, Hong Kong SAR | 3 1000 t | 2023 | unchanged | falling |
| 64 | Syrian Arab Republic | 3 1000 t | 2023 | up 50.0% | flat |
| 76 | Armenia | 2 1000 t | 2023 | unchanged | flat |
| 76 | Belarus | 2 1000 t | 2023 | down 33.3% | falling |
| 76 | Cuba | 2 1000 t | 2019 | up 100.0% | rising |
| 76 | Georgia | 2 1000 t | 2023 | down 33.3% | falling |
| 76 | Indonesia | 2 1000 t | 2023 | unchanged | volatile |
| 76 | Libya | 2 1000 t | 2023 | unchanged | rising |
| 76 | Latvia | 2 1000 t | 2023 | unchanged | rising |
| 76 | North Macedonia | 2 1000 t | 2023 | up 100.0% | volatile |
| 76 | New Zealand | 2 1000 t | 2023 | down 71.4% | rising |
| 76 | Oman | 2 1000 t | 2023 | unchanged | rising |
| 76 | Peru | 2 1000 t | 2023 | up 100.0% | rising |
| 76 | Paraguay | 2 1000 t | 2023 | unchanged | flat |
| 76 | Qatar | 2 1000 t | 2023 | — | flat |
| 76 | Slovenia | 2 1000 t | 2023 | down 33.3% | flat |
| 76 | Uruguay | 2 1000 t | 2023 | down 75.0% | volatile |
| 91 | Afghanistan | 1 1000 t | 2023 | down 50.0% | falling |
| 91 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 91 | Cote d'Ivoire | 1 1000 t | 2023 | unchanged | flat |
| 91 | Costa Rica | 1 1000 t | 2023 | unchanged | flat |
| 91 | Cyprus | 1 1000 t | 2023 | unchanged | flat |
| 91 | Dominican Republic | 1 1000 t | 2023 | unchanged | rising |
| 91 | Ecuador | 1 1000 t | 2023 | unchanged | flat |
| 91 | Egypt | 1 1000 t | 2023 | down 66.7% | falling |
| 91 | Estonia | 1 1000 t | 2023 | unchanged | flat |
| 91 | Guinea | 1 1000 t | 2023 | unchanged | flat |
| 91 | Iraq | 1 1000 t | 2023 | unchanged | volatile |
| 91 | Jamaica | 1 1000 t | 2023 | unchanged | flat |
| 91 | Jordan | 1 1000 t | 2023 | unchanged | flat |
| 91 | Kuwait | 1 1000 t | 2023 | unchanged | rising |
| 91 | Lebanon | 1 1000 t | 2023 | down 50.0% | falling |
| 91 | Moldova | 1 1000 t | 2023 | down 50.0% | volatile |
| 91 | Montenegro | 1 1000 t | 2023 | unchanged | falling |
| 91 | Mozambique | 1 1000 t | 2023 | unchanged | rising |
| 91 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 91 | Philippines | 1 1000 t | 2023 | unchanged | volatile |
| 91 | El Salvador | 1 1000 t | 2023 | — | volatile |
| 91 | Turkmenistan | 1 1000 t | 2023 | unchanged | rising |
| 91 | East Timor | 1 1000 t | 2023 | — | volatile |
| 91 | Ukraine | 1 1000 t | 2023 | down 98.1% | volatile |
| 91 | Timor-Leste | 1 1000 t | 2023 | — | volatile |
| 91 | Melanesia | 1 1000 t | 2023 | unchanged | volatile |
| 91 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | unchanged | flat |
| 91 | Republic of Moldova | 1 1000 t | 2023 | down 50.0% | volatile |
| 91 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | unchanged | flat |
| 91 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | flat |
| 121 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 121 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 121 | Hungary | 0 1000 t | 2023 | — | volatile |
| 121 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 121 | Namibia | 0 1000 t | 2023 | — | volatile |
| 121 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Panama | 0 1000 t | 2023 | — | volatile |
| 121 | Vietnam | 0 1000 t | 2023 | — | volatile |
| 121 | Viet Nam | 0 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.
- 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
- Western Europe 169 1000 t
- Western Asia 157 1000 t
- Land Locked Developing Countries (LLDCs) 148 1000 t
- Eastern Africa 138 1000 t
- Eastern Europe 127 1000 t
- Southern Europe 126 1000 t
- Northern Europe 84 1000 t
- Southern Asia 82 1000 t
- Western Africa 54 1000 t
- South America 45 1000 t
- Central America 45 1000 t
- Middle Africa 44 1000 t
- Central Asia 25 1000 t
- Northern Africa 23 1000 t
- Oceania 18 1000 t
- South-Eastern Asia 12 1000 t
- Small island developing States (SIDS) 6 1000 t
- Southern Africa 6 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.