Honey — Domestic supply quantity 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 — Domestic supply quantity is currently reported for 133 countries. The highest value is 316 1000 t in China; the lowest is -2 1000 t in Cambodia.
The median across all reporting countries is 4 1000 t, and the mean is 18.2 1000 t.
The gap between the highest and lowest reporting country is a factor of about 158.
Over the past decade 58 countries rose and 26 fell. The largest increase was in Sierra Leone (up 4,900.0%), and the largest decrease in Pakistan (down 100.0%).
Honey — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 316 1000 t | 2023 | down 11.5% | flat |
| 2 | China, mainland | 301 1000 t | 2023 | down 11.7% | flat |
| 3 | United States | 253 1000 t | 2023 | up 18.2% | rising |
| 4 | Turkey | 105 1000 t | 2023 | up 8.2% | rising |
| 4 | Türkiye | 105 1000 t | 2023 | up 8.2% | rising |
| 6 | Ethiopia | 85 1000 t | 2023 | up 88.9% | rising |
| 7 | Germany | 81 1000 t | 2023 | down 5.8% | falling |
| 8 | Iran (Islamic Republic of) | 76 1000 t | 2023 | up 2.7% | flat |
| 9 | Russia | 63 1000 t | 2023 | down 8.7% | falling |
| 9 | Russian Federation | 63 1000 t | 2023 | down 8.7% | falling |
| 11 | United Kingdom | 53 1000 t | 2023 | up 26.2% | rising |
| 11 | United Kingdom of Great Britain and Northern Ireland | 53 1000 t | 2023 | up 26.2% | rising |
| 13 | Sierra Leone | 50 1000 t | 2023 | up 4,900.0% | volatile |
| 14 | France | 45 1000 t | 2023 | up 25.0% | rising |
| 15 | Canada | 42 1000 t | 2023 | down 34.4% | falling |
| 16 | Mexico | 41 1000 t | 2023 | up 78.3% | rising |
| 17 | Poland | 36 1000 t | 2023 | up 38.5% | rising |
| 18 | Republic of Korea | 31 1000 t | 2023 | up 19.2% | rising |
| 18 | United Republic of Tanzania | 31 1000 t | 2023 | up 10.7% | rising |
| 20 | Spain | 30 1000 t | 2023 | down 3.2% | flat |
| 21 | Italy | 28 1000 t | 2023 | up 75.0% | rising |
| 22 | Brazil | 27 1000 t | 2023 | up 68.8% | falling |
| 23 | Greece | 25 1000 t | 2023 | up 47.1% | rising |
| 24 | Angola | 24 1000 t | 2023 | up 4.3% | flat |
| 24 | Romania | 24 1000 t | 2023 | up 71.4% | rising |
| 26 | Saudi Arabia | 21 1000 t | 2023 | up 61.5% | rising |
| 27 | Kenya | 18 1000 t | 2023 | up 125.0% | rising |
| 27 | Australia and New Zealand | 18 1000 t | 2023 | down 25.0% | rising |
| 29 | Australia | 15 1000 t | 2023 | down 6.2% | falling |
| 30 | Uzbekistan | 14 1000 t | 2023 | up 133.3% | rising |
| 31 | Portugal | 12 1000 t | 2023 | up 50.0% | rising |
| 31 | China, Taiwan Province of | 12 1000 t | 2023 | down 7.7% | falling |
| 31 | Netherlands (Kingdom of the) | 12 1000 t | 2023 | up 20.0% | rising |
| 34 | Austria | 11 1000 t | 2023 | up 10.0% | falling |
| 34 | Switzerland | 11 1000 t | 2023 | unchanged | rising |
| 34 | Croatia | 11 1000 t | 2023 | up 266.7% | volatile |
| 37 | Belgium | 10 1000 t | 2023 | up 42.9% | rising |
| 37 | Serbia | 10 1000 t | 2023 | up 100.0% | rising |
| 39 | Morocco | 9 1000 t | 2023 | up 50.0% | rising |
| 40 | United Arab Emirates | 8 1000 t | 2023 | up 166.7% | volatile |
| 40 | Czechia | 8 1000 t | 2023 | down 11.1% | flat |
| 40 | Sweden | 8 1000 t | 2023 | unchanged | falling |
| 43 | Chile | 7 1000 t | 2023 | up 133.3% | rising |
| 43 | Colombia | 7 1000 t | 2023 | up 133.3% | rising |
| 45 | Albania | 6 1000 t | 2023 | up 100.0% | rising |
| 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 20.0% | rising |
| 50 | Bosnia and Herzegovina | 5 1000 t | 2023 | up 25.0% | flat |
| 50 | Cameroon | 5 1000 t | 2023 | up 25.0% | rising |
| 50 | Finland | 5 1000 t | 2023 | up 66.7% | rising |
| 50 | Lithuania | 5 1000 t | 2023 | up 150.0% | rising |
| 50 | Nepal | 5 1000 t | 2023 | up 150.0% | rising |
| 50 | Tajikistan | 5 1000 t | 2023 | up 25.0% | rising |
| 50 | South Africa | 5 1000 t | 2023 | up 66.7% | rising |
| 57 | Argentina | 4 1000 t | 2023 | down 33.3% | rising |
| 57 | Azerbaijan | 4 1000 t | 2023 | up 33.3% | rising |
| 57 | Bulgaria | 4 1000 t | 2023 | up 300.0% | volatile |
| 57 | Hungary | 4 1000 t | 2023 | — | volatile |
| 57 | India | 4 1000 t | 2023 | down 84.0% | volatile |
| 57 | Kazakhstan | 4 1000 t | 2023 | up 100.0% | rising |
| 57 | Madagascar | 4 1000 t | 2023 | up 33.3% | rising |
| 57 | Senegal | 4 1000 t | 2023 | up 33.3% | rising |
| 57 | Slovakia | 4 1000 t | 2023 | down 20.0% | falling |
| 57 | Thailand | 4 1000 t | 2023 | up 33.3% | falling |
| 57 | Tunisia | 4 1000 t | 2023 | up 33.3% | rising |
| 57 | Ukraine | 4 1000 t | 2023 | down 93.0% | volatile |
| 57 | Caribbean | 4 1000 t | 2023 | up 33.3% | rising |
| 70 | Cuba | 3 1000 t | 2019 | up 200.0% | rising |
| 70 | Denmark | 3 1000 t | 2023 | down 25.0% | falling |
| 70 | Guatemala | 3 1000 t | 2023 | unchanged | rising |
| 70 | Kyrgyzstan | 3 1000 t | 2023 | up 200.0% | rising |
| 70 | Myanmar | 3 1000 t | 2023 | up 200.0% | volatile |
| 70 | Malaysia | 3 1000 t | 2023 | up 200.0% | volatile |
| 70 | Norway | 3 1000 t | 2023 | up 50.0% | rising |
| 70 | New Zealand | 3 1000 t | 2023 | down 62.5% | rising |
| 70 | Slovenia | 3 1000 t | 2023 | unchanged | rising |
| 70 | Syria | 3 1000 t | 2023 | up 50.0% | falling |
| 70 | Yemen | 3 1000 t | 2023 | unchanged | volatile |
| 70 | China, Hong Kong SAR | 3 1000 t | 2023 | unchanged | falling |
| 70 | Syrian Arab Republic | 3 1000 t | 2023 | up 50.0% | falling |
| 83 | Armenia | 2 1000 t | 2023 | unchanged | flat |
| 83 | Belarus | 2 1000 t | 2023 | down 33.3% | falling |
| 83 | Egypt | 2 1000 t | 2023 | down 50.0% | falling |
| 83 | Georgia | 2 1000 t | 2023 | down 33.3% | falling |
| 83 | Indonesia | 2 1000 t | 2023 | unchanged | volatile |
| 83 | Libya | 2 1000 t | 2023 | unchanged | rising |
| 83 | Latvia | 2 1000 t | 2023 | unchanged | rising |
| 83 | North Macedonia | 2 1000 t | 2023 | up 100.0% | volatile |
| 83 | Oman | 2 1000 t | 2023 | unchanged | rising |
| 83 | Peru | 2 1000 t | 2023 | unchanged | rising |
| 83 | Paraguay | 2 1000 t | 2023 | unchanged | flat |
| 83 | Qatar | 2 1000 t | 2023 | — | flat |
| 83 | Uruguay | 2 1000 t | 2023 | down 77.8% | volatile |
| 96 | Afghanistan | 1 1000 t | 2023 | down 50.0% | falling |
| 96 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 96 | Cote d'Ivoire | 1 1000 t | 2023 | unchanged | flat |
| 96 | Costa Rica | 1 1000 t | 2023 | unchanged | flat |
| 96 | Cyprus | 1 1000 t | 2023 | unchanged | flat |
| 96 | Dominican Republic | 1 1000 t | 2023 | unchanged | flat |
| 96 | Ecuador | 1 1000 t | 2023 | unchanged | flat |
| 96 | Estonia | 1 1000 t | 2023 | unchanged | flat |
| 96 | Guinea | 1 1000 t | 2023 | unchanged | flat |
| 96 | Iraq | 1 1000 t | 2023 | unchanged | volatile |
| 96 | Jamaica | 1 1000 t | 2023 | unchanged | flat |
| 96 | Jordan | 1 1000 t | 2023 | unchanged | flat |
| 96 | Kuwait | 1 1000 t | 2023 | unchanged | rising |
| 96 | Lebanon | 1 1000 t | 2023 | down 50.0% | falling |
| 96 | Moldova | 1 1000 t | 2023 | down 50.0% | volatile |
| 96 | Montenegro | 1 1000 t | 2023 | unchanged | falling |
| 96 | Mozambique | 1 1000 t | 2023 | unchanged | flat |
| 96 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 96 | Philippines | 1 1000 t | 2023 | unchanged | volatile |
| 96 | El Salvador | 1 1000 t | 2023 | — | volatile |
| 96 | Turkmenistan | 1 1000 t | 2023 | unchanged | rising |
| 96 | East Timor | 1 1000 t | 2023 | — | volatile |
| 96 | Vietnam | 1 1000 t | 2023 | — | volatile |
| 96 | Timor-Leste | 1 1000 t | 2023 | — | volatile |
| 96 | Melanesia | 1 1000 t | 2023 | unchanged | falling |
| 96 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | unchanged | flat |
| 96 | Republic of Moldova | 1 1000 t | 2023 | down 50.0% | volatile |
| 96 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | unchanged | flat |
| 96 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 96 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | flat |
| 126 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 126 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 126 | Maldives | 0 1000 t | 2023 | — | volatile |
| 126 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 126 | Namibia | 0 1000 t | 2023 | — | volatile |
| 126 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 126 | Panama | 0 1000 t | 2023 | — | volatile |
| 194 | Cambodia | -2 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 1,918 1000 t
- Asia 677 1000 t
- Europe 539 1000 t
- Americas 403 1000 t
- Eastern Asia 386 1000 t
- European Union (27) 378 1000 t
- Northern America 295 1000 t
- Net Food Importing Developing Countries (NFIDCs) 283 1000 t
- Africa 280 1000 t
- Low Income Food Deficit Countries (LIFDCs) 259 1000 t
- United States of America 253 1000 t
- Least Developed Countries (LDCs) 238 1000 t
- Western Europe 170 1000 t
- Western Asia 165 1000 t
- Land Locked Developing Countries (LLDCs) 156 1000 t
- Eastern Europe 152 1000 t
- Eastern Africa 146 1000 t
- Southern Europe 132 1000 t
- Southern Asia 87 1000 t
- Northern Europe 85 1000 t
- Western Africa 57 1000 t
- South America 54 1000 t
- Central America 49 1000 t
- Middle Africa 46 1000 t
- Central Asia 26 1000 t
- Northern Africa 25 1000 t
- Oceania 19 1000 t
- South-Eastern Asia 13 1000 t
- Small island developing States (SIDS) 7 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.