Yams — 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...

Countries reporting
78
Highest
61,921 1000 t
Nigeria
Lowest
-11 1000 t
China, mainland
Median
5.5 1000 t
Years covered
14
2010–2023
Data points
2,036

What the numbers show

Yams — Domestic supply quantity is currently reported for 78 countries. The highest value is 61,921 1000 t in Nigeria; the lowest is -11 1000 t in China, mainland.

The median across all reporting countries is 5.5 1000 t, and the mean is 1,170 1000 t.

The gap between the highest and lowest reporting country is a factor of about 5,629.

Over the past decade 28 countries rose and 20 fell. The largest increase was in Comoros (up 520.0%), and the largest decrease in Germany (down 100.0%).

Yams — Domestic supply quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Nigeria 61,921 1000 t 2023 up 120.0% rising
2 Ghana 9,480 1000 t 2023 up 34.3% rising
3 Cote d'Ivoire 7,937 1000 t 2023 up 38.5% rising
3 Côte d'Ivoire 7,937 1000 t 2023 up 38.5% rising
5 Cameroon 536 1000 t 2023 down 3.6% rising
6 Melanesia 479 1000 t 2023 up 19.2% rising
7 Colombia 403 1000 t 2023 up 10.4% rising
8 Papua New Guinea 384 1000 t 2023 up 9.4% rising
9 Guinea 357 1000 t 2023 up 200.0% rising
10 Caribbean 280 1000 t 2023 down 71.3% falling
11 Brazil 246 1000 t 2023 up 5.1% flat
12 Gabon 230 1000 t 2023 up 9.5% rising
13 Jamaica 185 1000 t 2023 up 35.0% rising
14 Senegal 126 1000 t 2023 — volatile
15 Democratic Republic of the Congo 125 1000 t 2023 up 25.0% rising
16 Burkina Faso 63 1000 t 2023 down 13.7% falling
17 Venezuela (Bolivarian Republic of) 56 1000 t 2023 up 12.0% falling
18 Rwanda 55 1000 t 2023 down 12.7% rising
19 Ethiopia 50 1000 t 2023 up 108.3% volatile
20 Solomon Islands 45 1000 t 2023 up 2.3% rising
21 United States 41 1000 t 2023 up 70.8% rising
22 Dominican Republic 40 1000 t 2023 up 48.1% rising
23 Comoros 31 1000 t 2023 up 520.0% volatile
24 Cuba 21 1000 t 2019 down 94.7% volatile
25 Haiti 20 1000 t 2023 down 95.2% volatile
25 Liberia 20 1000 t 2023 down 4.8% flat
27 Canada 18 1000 t 2023 down 5.3% rising
28 Panama 17 1000 t 2023 up 6.2% falling
29 Congo 16 1000 t 2023 up 6.7% rising
30 United Kingdom 14 1000 t 2023 up 27.3% rising
30 United Kingdom of Great Britain and Northern Ireland 14 1000 t 2023 up 27.3% rising
32 Philippines 12 1000 t 2023 down 20.0% falling
33 Costa Rica 9 1000 t 2023 down 10.0% volatile
33 United Republic of Tanzania 9 1000 t 2023 unchanged falling
35 United Arab Emirates 7 1000 t 2023 unchanged falling
35 Malaysia 7 1000 t 2023 up 250.0% volatile
35 Polynesia 7 1000 t 2023 unchanged rising
38 Fiji 6 1000 t 2023 up 20.0% rising
38 Kenya 6 1000 t 2023 down 53.8% falling
40 France 5 1000 t 2023 unchanged rising
41 Niger 4 1000 t 2023 — volatile
41 Tonga 4 1000 t 2023 — rising
41 South Africa 4 1000 t 2023 — volatile
41 China, Taiwan Province of 4 1000 t 2023 up 300.0% rising
45 Mauritania 3 1000 t 2023 unchanged flat
45 Pakistan 3 1000 t 2023 — volatile
47 Guyana 2 1000 t 2023 up 100.0% volatile
47 New Caledonia 2 1000 t 2023 unchanged falling
47 Sao Tome and Principe 2 1000 t 2023 unchanged flat
47 Samoa 2 1000 t 2023 down 71.4% volatile
47 Netherlands (Kingdom of the) 2 1000 t 2023 down 33.3% volatile
52 Barbados 1 1000 t 2023 unchanged volatile
52 Italy 1 1000 t 2023 unchanged volatile
52 Kuwait 1 1000 t 2023 — volatile
52 Nicaragua 1 1000 t 2023 unchanged flat
52 Oman 1 1000 t 2023 — volatile
52 Qatar 1 1000 t 2023 — flat
52 Saint Vincent and the Grenadines 1 1000 t 2023 down 66.7% falling
52 Australia and New Zealand 1 1000 t 2023 unchanged volatile
52 China, Macao SAR 1 1000 t 2023 — volatile
61 Australia 0 1000 t 2023 — volatile
61 Belgium 0 1000 t 2023 — volatile
61 Bahrain 0 1000 t 2023 — volatile
61 Germany 0 1000 t 2023 down 100.0% volatile
61 Grenada 0 1000 t 2023 down 100.0% volatile
61 Laos 0 1000 t 2023 — volatile
61 Saint Lucia 0 1000 t 2023 down 100.0% volatile
61 Myanmar 0 1000 t 2022 up 100.0% volatile
61 New Zealand 0 1000 t 2023 — volatile
61 Portugal 0 1000 t 2023 down 100.0% volatile
61 Saudi Arabia 0 1000 t 2023 — volatile
61 Lao People's Democratic Republic 0 1000 t 2023 — volatile
133 Vietnam -1 1000 t 2023 — volatile
133 Viet Nam -1 1000 t 2023 — volatile
135 Afghanistan -3 1000 t 2023 — volatile
136 China -6 1000 t 2023 up 14.3% volatile
137 India -8 1000 t 2023 down 100.0% volatile
138 China, mainland -11 1000 t 2023 down 37.5% falling

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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Yams — Domestic supply quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/yams-domestic-supply-quantity/

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About this data

Indicator
Yams — Domestic supply quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
168 places, 2,036 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.