Roots, Other — Import 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...

Countries reporting
77
Highest
126 1000 t
United States
Lowest
0 1000 t
Bolivia (Plurinational State of)
Median
1 1000 t
Years covered
14
2010–2023
Data points
2,778

What the numbers show

Roots, Other — Import quantity is currently reported for 77 countries. The highest value is 126 1000 t in United States; the lowest is 0 1000 t in Bolivia (Plurinational State of).

The median across all reporting countries is 1 1000 t, and the mean is 5.3 1000 t.

Over the past decade 13 countries rose and 17 fell. The largest increase was in Gabon (up 316.7%), and the largest decrease in Mexico (down 100.0%).

Roots, Other — Import quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 United States 126 1000 t 2023 up 21.2% rising
2 Malaysia 66 1000 t 2023 up 127.6% volatile
3 Gabon 25 1000 t 2023 up 316.7% volatile
4 Saudi Arabia 16 1000 t 2023 up 100.0% volatile
5 China 15 1000 t 2023 down 16.7% falling
6 Spain 14 1000 t 2023 up 250.0% rising
6 Vietnam 14 1000 t 2023 — volatile
6 Viet Nam 14 1000 t 2023 — volatile
9 United Kingdom 10 1000 t 2023 up 42.9% falling
9 United Kingdom of Great Britain and Northern Ireland 10 1000 t 2023 up 42.9% falling
11 Australia and New Zealand 9 1000 t 2023 down 10.0% flat
12 Canada 8 1000 t 2023 up 14.3% falling
12 Netherlands (Kingdom of the) 8 1000 t 2023 up 166.7% rising
14 United Arab Emirates 6 1000 t 2023 down 53.8% falling
15 France 5 1000 t 2023 down 58.3% falling
15 New Zealand 5 1000 t 2023 down 28.6% falling
15 Philippines 5 1000 t 2023 down 50.0% volatile
15 China, mainland 5 1000 t 2023 up 66.7% volatile
19 Australia 4 1000 t 2023 up 33.3% rising
19 China, Taiwan Province of 4 1000 t 2023 down 50.0% falling
21 Belgium 3 1000 t 2023 down 40.0% volatile
21 Italy 3 1000 t 2023 up 50.0% falling
21 Thailand 3 1000 t 2023 up 200.0% volatile
21 China, Hong Kong SAR 3 1000 t 2023 unchanged falling
21 China, Macao SAR 3 1000 t 2023 down 25.0% falling
26 Kuwait 2 1000 t 2023 unchanged volatile
26 Liberia 2 1000 t 2023 — volatile
26 Uganda 2 1000 t 2023 — volatile
26 Caribbean 2 1000 t 2023 down 60.0% falling
26 Republic of Korea 2 1000 t 2023 down 33.3% rising
31 Bangladesh 1 1000 t 2023 — volatile
31 Bahrain 1 1000 t 2023 — falling
31 Comoros 1 1000 t 2023 — volatile
31 Germany 1 1000 t 2023 unchanged volatile
31 Ghana 1 1000 t 2023 — volatile
31 Indonesia 1 1000 t 2023 unchanged volatile
31 Ireland 1 1000 t 2023 — volatile
31 Laos 1 1000 t 2023 — volatile
31 Norway 1 1000 t 2023 unchanged volatile
31 Oman 1 1000 t 2023 down 66.7% volatile
31 Qatar 1 1000 t 2023 — flat
31 Suriname 1 1000 t 2023 unchanged volatile
31 Trinidad and Tobago 1 1000 t 2023 down 75.0% volatile
31 Lao People's Democratic Republic 1 1000 t 2023 — volatile
45 Angola 0 1000 t 2023 — volatile
45 Burkina Faso 0 1000 t 2023 — volatile
45 Switzerland 0 1000 t 2023 — volatile
45 Congo 0 1000 t 2023 — volatile
45 Colombia 0 1000 t 2023 — volatile
45 Costa Rica 0 1000 t 2023 — volatile
45 Cyprus 0 1000 t 2023 — volatile
45 Djibouti 0 1000 t 2023 — volatile
45 Denmark 0 1000 t 2023 — volatile
45 Dominican Republic 0 1000 t 2023 — volatile
45 Guinea 0 1000 t 2023 — volatile
45 Gambia 0 1000 t 2023 — volatile
45 Greece 0 1000 t 2023 — volatile
45 Honduras 0 1000 t 2023 — volatile
45 Kenya 0 1000 t 2023 — volatile
45 Kyrgyzstan 0 1000 t 2023 — volatile
45 Cambodia 0 1000 t 2023 — volatile
45 Lebanon 0 1000 t 2023 — volatile
45 Sri Lanka 0 1000 t 2023 — volatile
45 Mexico 0 1000 t 2023 down 100.0% volatile
45 Niger 0 1000 t 2023 down 100.0% volatile
45 Nigeria 0 1000 t 2023 — volatile
45 Pakistan 0 1000 t 2021 — volatile
45 Rwanda 0 1000 t 2022 — volatile
45 Serbia 0 1000 t 2023 — volatile
45 Slovenia 0 1000 t 2023 — volatile
45 Sweden 0 1000 t 2023 down 100.0% volatile
45 East Timor 0 1000 t 2023 — volatile
45 Samoa 0 1000 t 2023 — volatile
45 Timor-Leste 0 1000 t 2023 — volatile
45 Polynesia 0 1000 t 2023 — volatile
45 Democratic Republic of the Congo 0 1000 t 2023 down 100.0% volatile
45 Bolivia (Plurinational State of) 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.

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Roots, Other — Import quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 28 September 2026, from https://agriculture.statizoid.com/stat/roots-other-import-quantity/

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About this data

Indicator
Roots, Other — Import quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
218 places, 2,778 data points, 2010–2023
Last refreshed

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.