Foods for particular nutritional uses — Iron supply — Value by country
The dataset presents average daily per capita macro and micro nutrient availability by country and by FAO/WHO GIFT food groups (that are different from those used for the Food Balance Sheets), expressed in grams/milligrams/micrograms/kcal per capita per day. The population numbers used to calculate these statistics...
What the numbers show
Foods for particular nutritional uses — Iron supply — Value is currently reported for 131 countries. The highest value is 1.6 mg/cap/d in China, Macao SAR; the lowest is 0 mg/cap/d in Zimbabwe.
The median across all reporting countries is 0.1 mg/cap/d, and the mean is 0.2359 mg/cap/d.
Over the past decade 20 countries rose and 33 fell. The largest increase was in Grenada (up 400.0%), and the largest decrease in Angola (down 100.0%).
Foods for particular nutritional uses — Iron supply — Value: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China, Macao SAR | 1.6 mg/cap/d | 2023 | down 40.7% | volatile |
| 1 | Venezuela (Bolivarian Republic of) | 1.4 mg/cap/d | 2023 | up 180.0% | volatile |
| 1 | Cabo Verde | 0.7 mg/cap/d | 2023 | up 16.7% | rising |
| 2 | Suriname | 1.4 mg/cap/d | 2023 | up 250.0% | volatile |
| 2 | Bolivia (Plurinational State of) | 0.2 mg/cap/d | 2023 | unchanged | rising |
| 2 | Republic of Moldova | 0.2 mg/cap/d | 2023 | up 100.0% | rising |
| 2 | Côte d'Ivoire | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 3 | Malaysia | 1.1 mg/cap/d | 2023 | up 37.5% | rising |
| 4 | French Polynesia | 1 mg/cap/d | 2023 | unchanged | falling |
| 4 | Syrian Arab Republic | 0.1 mg/cap/d | 2023 | unchanged | volatile |
| 4 | Viet Nam | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 4 | Türkiye | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 4 | Lao People's Democratic Republic | 0.1 mg/cap/d | 2023 | unchanged | volatile |
| 5 | Saudi Arabia | 0.9 mg/cap/d | 2023 | up 50.0% | flat |
| 6 | Dominican Republic | 0.8 mg/cap/d | 2023 | up 33.3% | rising |
| 6 | New Caledonia | 0.8 mg/cap/d | 2023 | unchanged | falling |
| 8 | Greece | 0.7 mg/cap/d | 2023 | down 22.2% | falling |
| 8 | Timor-Leste | 0 mg/cap/d | 2023 | — | volatile |
| 9 | Gabon | 0.6 mg/cap/d | 2023 | unchanged | flat |
| 9 | Libya | 0.6 mg/cap/d | 2023 | unchanged | rising |
| 11 | Grenada | 0.5 mg/cap/d | 2023 | up 400.0% | volatile |
| 11 | Luxembourg | 0.5 mg/cap/d | 2023 | down 28.6% | falling |
| 11 | Mauritius | 0.5 mg/cap/d | 2023 | up 25.0% | rising |
| 11 | Nicaragua | 0.5 mg/cap/d | 2023 | down 16.7% | falling |
| 15 | Antigua and Barbuda | 0.4 mg/cap/d | 2023 | up 100.0% | rising |
| 15 | Cyprus | 0.4 mg/cap/d | 2023 | down 33.3% | falling |
| 15 | Djibouti | 0.4 mg/cap/d | 2023 | up 100.0% | rising |
| 15 | Finland | 0.4 mg/cap/d | 2023 | down 33.3% | falling |
| 15 | Guyana | 0.4 mg/cap/d | 2023 | up 100.0% | rising |
| 15 | Iraq | 0.4 mg/cap/d | 2023 | up 300.0% | volatile |
| 15 | Italy | 0.4 mg/cap/d | 2023 | unchanged | falling |
| 15 | Jamaica | 0.4 mg/cap/d | 2023 | up 33.3% | rising |
| 15 | Kuwait | 0.4 mg/cap/d | 2023 | down 55.6% | falling |
| 15 | Panama | 0.4 mg/cap/d | 2023 | down 50.0% | falling |
| 25 | Bahrain | 0.3 mg/cap/d | 2023 | — | falling |
| 25 | Belize | 0.3 mg/cap/d | 2023 | down 40.0% | falling |
| 25 | Canada | 0.3 mg/cap/d | 2023 | unchanged | falling |
| 25 | Algeria | 0.3 mg/cap/d | 2023 | unchanged | falling |
| 25 | Gambia | 0.3 mg/cap/d | 2023 | up 200.0% | volatile |
| 25 | Honduras | 0.3 mg/cap/d | 2023 | unchanged | volatile |
| 25 | Lebanon | 0.3 mg/cap/d | 2023 | down 50.0% | falling |
| 25 | Namibia | 0.3 mg/cap/d | 2023 | — | volatile |
| 25 | Qatar | 0.3 mg/cap/d | 2023 | — | falling |
| 25 | El Salvador | 0.3 mg/cap/d | 2023 | unchanged | rising |
| 25 | Seychelles | 0.3 mg/cap/d | 2023 | down 25.0% | falling |
| 25 | Trinidad and Tobago | 0.3 mg/cap/d | 2023 | down 72.7% | falling |
| 37 | United Arab Emirates | 0.2 mg/cap/d | 2023 | unchanged | rising |
| 37 | Bosnia and Herzegovina | 0.2 mg/cap/d | 2023 | up 100.0% | rising |
| 37 | Barbados | 0.2 mg/cap/d | 2023 | down 71.4% | falling |
| 37 | Botswana | 0.2 mg/cap/d | 2023 | up 100.0% | volatile |
| 37 | Congo | 0.2 mg/cap/d | 2023 | unchanged | falling |
| 37 | Georgia | 0.2 mg/cap/d | 2023 | unchanged | falling |
| 37 | Guatemala | 0.2 mg/cap/d | 2023 | unchanged | flat |
| 37 | Iceland | 0.2 mg/cap/d | 2023 | unchanged | rising |
| 37 | Israel | 0.2 mg/cap/d | 2023 | — | volatile |
| 37 | Jordan | 0.2 mg/cap/d | 2023 | unchanged | volatile |
| 37 | Kazakhstan | 0.2 mg/cap/d | 2023 | unchanged | falling |
| 37 | Cambodia | 0.2 mg/cap/d | 2023 | up 100.0% | rising |
| 37 | Latvia | 0.2 mg/cap/d | 2023 | unchanged | rising |
| 37 | North Macedonia | 0.2 mg/cap/d | 2023 | up 100.0% | rising |
| 37 | Malta | 0.2 mg/cap/d | 2023 | down 50.0% | falling |
| 37 | Montenegro | 0.2 mg/cap/d | 2023 | unchanged | flat |
| 37 | Norway | 0.2 mg/cap/d | 2023 | unchanged | falling |
| 37 | Oman | 0.2 mg/cap/d | 2023 | down 33.3% | falling |
| 37 | Slovakia | 0.2 mg/cap/d | 2023 | unchanged | falling |
| 37 | Sweden | 0.2 mg/cap/d | 2023 | up 100.0% | rising |
| 37 | Samoa | 0.2 mg/cap/d | 2023 | unchanged | volatile |
| 37 | China, Taiwan Province of | 0.2 mg/cap/d | 2023 | unchanged | falling |
| 37 | United Kingdom of Great Britain and Northern Ireland | 0.2 mg/cap/d | 2023 | down 75.0% | falling |
| 60 | Albania | 0.1 mg/cap/d | 2023 | — | volatile |
| 60 | Armenia | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Azerbaijan | 0.1 mg/cap/d | 2023 | unchanged | falling |
| 60 | Bulgaria | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Bahamas | 0.1 mg/cap/d | 2023 | down 90.9% | falling |
| 60 | China | 0.1 mg/cap/d | 2023 | — | volatile |
| 60 | Cameroon | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Colombia | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Comoros | 0.1 mg/cap/d | 2023 | unchanged | volatile |
| 60 | Costa Rica | 0.1 mg/cap/d | 2023 | down 66.7% | falling |
| 60 | Czechia | 0.1 mg/cap/d | 2023 | down 75.0% | falling |
| 60 | Ecuador | 0.1 mg/cap/d | 2023 | down 50.0% | falling |
| 60 | Guinea | 0.1 mg/cap/d | 2023 | — | volatile |
| 60 | Guinea-Bissau | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Hungary | 0.1 mg/cap/d | 2023 | — | volatile |
| 60 | Kyrgyzstan | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Kiribati | 0.1 mg/cap/d | 2023 | — | volatile |
| 60 | Liberia | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Lesotho | 0.1 mg/cap/d | 2023 | — | volatile |
| 60 | Lithuania | 0.1 mg/cap/d | 2023 | unchanged | falling |
| 60 | Morocco | 0.1 mg/cap/d | 2023 | unchanged | volatile |
| 60 | Maldives | 0.1 mg/cap/d | 2023 | unchanged | falling |
| 60 | Mongolia | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Mozambique | 0.1 mg/cap/d | 2023 | — | volatile |
| 60 | Mauritania | 0.1 mg/cap/d | 2023 | — | volatile |
| 60 | Nauru | 0.1 mg/cap/d | 2023 | — | rising |
| 60 | Peru | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Paraguay | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Romania | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Senegal | 0.1 mg/cap/d | 2023 | — | volatile |
| 60 | Sierra Leone | 0.1 mg/cap/d | 2023 | — | volatile |
| 60 | Sao Tome and Principe | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Slovenia | 0.1 mg/cap/d | 2023 | — | volatile |
| 60 | Eswatini | 0.1 mg/cap/d | 2023 | down 75.0% | volatile |
| 60 | Tajikistan | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Tunisia | 0.1 mg/cap/d | 2023 | unchanged | flat |
| 60 | Uruguay | 0.1 mg/cap/d | 2023 | down 50.0% | falling |
| 60 | Uzbekistan | 0.1 mg/cap/d | 2023 | — | volatile |
| 60 | Yemen | 0.1 mg/cap/d | 2023 | unchanged | volatile |
| 60 | China, Hong Kong SAR | 0.1 mg/cap/d | 2023 | unchanged | volatile |
| 60 | Russian Federation | 0.1 mg/cap/d | 2023 | unchanged | volatile |
| 60 | China, mainland | 0.1 mg/cap/d | 2023 | — | volatile |
| 102 | Angola | 0 mg/cap/d | 2023 | down 100.0% | volatile |
| 102 | Australia | 0 mg/cap/d | 2023 | down 100.0% | volatile |
| 102 | Burkina Faso | 0 mg/cap/d | 2023 | — | volatile |
| 102 | Bhutan | 0 mg/cap/d | 2023 | — | volatile |
| 102 | Egypt | 0 mg/cap/d | 2023 | down 100.0% | falling |
| 102 | Estonia | 0 mg/cap/d | 2023 | — | volatile |
| 102 | Kenya | 0 mg/cap/d | 2023 | — | volatile |
| 102 | Saint Kitts and Nevis | 0 mg/cap/d | 2023 | down 100.0% | volatile |
| 102 | Saint Lucia | 0 mg/cap/d | 2023 | down 100.0% | volatile |
| 102 | Sri Lanka | 0 mg/cap/d | 2023 | — | volatile |
| 102 | Niger | 0 mg/cap/d | 2023 | down 100.0% | volatile |
| 102 | Pakistan | 0 mg/cap/d | 2023 | — | volatile |
| 102 | Philippines | 0 mg/cap/d | 2023 | — | volatile |
| 102 | Serbia | 0 mg/cap/d | 2023 | down 100.0% | volatile |
| 102 | Thailand | 0 mg/cap/d | 2023 | down 100.0% | volatile |
| 102 | Turkmenistan | 0 mg/cap/d | 2023 | down 100.0% | volatile |
| 102 | Tonga | 0 mg/cap/d | 2023 | — | volatile |
| 102 | Ukraine | 0 mg/cap/d | 2023 | down 100.0% | falling |
| 102 | Saint Vincent and the Grenadines | 0 mg/cap/d | 2023 | down 100.0% | volatile |
| 102 | Zimbabwe | 0 mg/cap/d | 2023 | — | volatile |
About this data
The dataset presents average daily per capita macro and micro nutrient availability by country and by FAO/WHO GIFT food groups (that are different from those used for the Food Balance Sheets), expressed in grams/milligrams/micrograms/kcal per capita per day. The population numbers used to calculate these statistics can be found in the Supply Utilization Accounts (SUA) dataset of FAOSTAT, as Total Population. Food availability quantities are derived from the SUA dataset. SUAs present a comprehensive picture of the pattern of a country's food supply and utilization during a specified reference period. The SUA 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 capita 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.