Beans — 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
163
Highest
6,838 1000 t
India
Lowest
-262 1000 t
Uzbekistan
Median
18 1000 t
Years covered
14
2010–2023
Data points
3,026

What the numbers show

Beans — Domestic supply quantity is currently reported for 163 countries. The highest value is 6,838 1000 t in India; the lowest is -262 1000 t in Uzbekistan.

The median across all reporting countries is 18 1000 t, and the mean is 177.24 1000 t.

The gap between the highest and lowest reporting country is a factor of about 26.

Over the past decade 68 countries rose and 63 fell. The largest increase was in Argentina (up 15,800.0%), and the largest decrease in Botswana (down 140.0%).

Beans — Domestic supply quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 India 6,838 1000 t 2023 up 44.5% rising
2 Brazil 2,870 1000 t 2023 down 15.9% falling
3 China 1,578 1000 t 2023 up 368.2% volatile
4 China, mainland 1,536 1000 t 2023 up 440.8% volatile
5 Myanmar 1,401 1000 t 2023 down 51.2% falling
6 United Republic of Tanzania 1,253 1000 t 2023 up 54.3% rising
7 Mexico 999 1000 t 2023 down 28.4% falling
8 Kenya 966 1000 t 2023 up 34.4% rising
9 Uganda 837 1000 t 2023 down 8.3% falling
10 United States 745 1000 t 2023 down 22.2% falling
11 Mozambique 500 1000 t 2023 up 134.7% volatile
12 Rwanda 466 1000 t 2023 up 13.1% rising
13 Ethiopia 453 1000 t 2023 down 17.3% falling
14 Angola 441 1000 t 2023 up 53.7% rising
15 Cameroon 406 1000 t 2023 up 23.8% rising
16 Democratic People's Republic of Korea 319 1000 t 2018 down 0.9% flat
17 Argentina 314 1000 t 2023 up 15,800.0% volatile
18 Kazakhstan 301 1000 t 2023 up 7,425.0% volatile
19 Vietnam 300 1000 t 2023 up 67.6% rising
19 Viet Nam 300 1000 t 2023 up 67.6% rising
21 Caribbean 286 1000 t 2023 down 20.8% falling
22 Pakistan 280 1000 t 2023 up 40.0% rising
23 Democratic Republic of the Congo 279 1000 t 2023 up 25.1% rising
24 Turkey 262 1000 t 2023 up 12.4% rising
24 Türkiye 262 1000 t 2023 up 12.4% rising
26 Belarus 261 1000 t 2023 up 17.6% rising
27 Indonesia 259 1000 t 2023 down 11.9% falling
28 Malawi 219 1000 t 2023 up 34.4% rising
29 Honduras 177 1000 t 2023 up 62.4% rising
30 Venezuela (Bolivarian Republic of) 175 1000 t 2023 up 42.3% rising
31 Iran (Islamic Republic of) 174 1000 t 2023 down 24.0% falling
32 Colombia 171 1000 t 2023 down 7.1% falling
33 Guatemala 169 1000 t 2023 down 31.9% falling
34 Ghana 167 1000 t 2023 down 23.7% falling
35 Cuba 147 1000 t 2019 up 19.5% falling
36 El Salvador 137 1000 t 2023 up 15.1% rising
37 Italy 134 1000 t 2023 up 4.7% rising
38 Australia and New Zealand 109 1000 t 2023 up 781.2% volatile
39 Australia 104 1000 t 2023 up 533.3% volatile
40 Bangladesh 100 1000 t 2023 up 66.7% rising
41 Nicaragua 98 1000 t 2023 down 37.2% falling
41 Thailand 98 1000 t 2023 up 8.9% rising
43 United Kingdom 94 1000 t 2023 up 19.0% rising
43 United Kingdom of Great Britain and Northern Ireland 94 1000 t 2023 up 19.0% rising
45 Haiti 93 1000 t 2023 down 21.8% falling
46 Bolivia (Plurinational State of) 90 1000 t 2023 up 87.5% rising
47 Philippines 87 1000 t 2023 up 20.8% rising
48 Dominican Republic 86 1000 t 2023 up 24.6% rising
49 Iraq 83 1000 t 2023 up 277.3% volatile
50 Peru 82 1000 t 2023 unchanged flat
51 Cambodia 79 1000 t 2023 up 5.3% rising
52 Republic of Korea 63 1000 t 2023 up 21.2% rising
53 Costa Rica 61 1000 t 2023 up 17.3% flat
54 United Arab Emirates 60 1000 t 2023 up 76.5% rising
54 Egypt 60 1000 t 2023 up 46.3% rising
56 Ukraine 58 1000 t 2023 up 61.1% rising
57 Algeria 55 1000 t 2023 down 12.7% rising
58 South Africa 50 1000 t 2023 down 49.0% falling
59 Spain 46 1000 t 2023 down 16.4% falling
60 Kyrgyzstan 44 1000 t 2023 down 4.3% volatile
61 Malaysia 39 1000 t 2023 down 2.5% flat
62 Zambia 38 1000 t 2023 up 3,900.0% volatile
63 Nepal 37 1000 t 2023 up 19.4% rising
64 France 34 1000 t 2023 down 27.7% falling
64 China, Taiwan Province of 34 1000 t 2023 down 24.4% falling
66 Zimbabwe 33 1000 t 2023 up 6.5% falling
67 Canada 32 1000 t 2023 down 13.5% volatile
67 Tajikistan 32 1000 t 2023 up 255.6% rising
69 Cote d'Ivoire 30 1000 t 2023 down 21.1% falling
69 Côte d'Ivoire 30 1000 t 2023 down 21.1% falling
71 Albania 29 1000 t 2023 up 3.6% flat
71 Russia 29 1000 t 2023 unchanged flat
71 Russian Federation 29 1000 t 2023 unchanged flat
74 Portugal 25 1000 t 2023 down 3.8% falling
74 Romania 25 1000 t 2023 down 39.0% falling
76 Paraguay 24 1000 t 2023 down 54.7% flat
77 Madagascar 23 1000 t 2023 down 59.6% falling
78 Chile 22 1000 t 2023 down 12.0% rising
78 Serbia 22 1000 t 2023 down 15.4% falling
78 Yemen 22 1000 t 2023 down 33.3% falling
81 Bosnia and Herzegovina 19 1000 t 2023 up 18.8% falling
82 Netherlands (Kingdom of the) 18 1000 t 2023 down 18.2% rising
83 Morocco 16 1000 t 2023 up 220.0% volatile
84 Georgia 15 1000 t 2023 down 6.2% falling
85 Mauritania 14 1000 t 2023 up 7.7% rising
86 Saudi Arabia 13 1000 t 2023 up 62.5% rising
87 Greece 12 1000 t 2023 down 62.5% falling
87 Libya 12 1000 t 2023 up 50.0% volatile
87 Moldova 12 1000 t 2023 up 9.1% flat
87 Republic of Moldova 12 1000 t 2023 up 9.1% flat
91 Germany 11 1000 t 2023 down 35.3% flat
91 East Timor 11 1000 t 2023 unchanged rising
91 Timor-Leste 11 1000 t 2023 unchanged rising
94 North Macedonia 10 1000 t 2023 unchanged flat
94 Panama 10 1000 t 2023 up 25.0% rising
96 Hungary 9 1000 t 2023 up 50.0% rising
96 Jamaica 9 1000 t 2023 up 28.6% rising
98 Azerbaijan 8 1000 t 2023 down 33.3% falling
98 Belgium 8 1000 t 2023 up 33.3% rising
98 Bulgaria 8 1000 t 2023 down 42.9% falling
98 Guinea 8 1000 t 2023 — volatile
98 Lesotho 8 1000 t 2023 down 27.3% falling
103 Ecuador 7 1000 t 2023 up 75.0% rising
103 Sri Lanka 7 1000 t 2023 down 69.6% falling
103 Eswatini 7 1000 t 2023 up 133.3% volatile
103 China, Hong Kong SAR 7 1000 t 2023 down 12.5% falling
107 Laos 6 1000 t 2023 up 100.0% rising
107 Lebanon 6 1000 t 2023 unchanged rising
107 Qatar 6 1000 t 2023 — rising
107 Tunisia 6 1000 t 2023 up 100.0% rising
107 Lao People's Democratic Republic 6 1000 t 2023 up 100.0% rising
112 Afghanistan 5 1000 t 2023 up 150.0% volatile
112 Congo 5 1000 t 2023 down 50.0% flat
112 Croatia 5 1000 t 2023 down 28.6% falling
112 Israel 5 1000 t 2023 down 16.7% rising
112 New Zealand 5 1000 t 2023 down 37.5% falling
112 Syria 5 1000 t 2023 down 16.7% volatile
112 Syrian Arab Republic 5 1000 t 2023 down 16.7% volatile
119 Senegal 4 1000 t 2023 up 500.0% volatile
119 Uruguay 4 1000 t 2023 unchanged flat
121 Armenia 3 1000 t 2023 down 40.0% falling
121 Switzerland 3 1000 t 2023 up 50.0% rising
121 Ireland 3 1000 t 2023 down 84.2% volatile
121 Jordan 3 1000 t 2023 unchanged rising
125 Austria 2 1000 t 2023 unchanged falling
125 Belize 2 1000 t 2023 down 60.0% volatile
125 Czechia 2 1000 t 2023 down 33.3% flat
125 Djibouti 2 1000 t 2023 up 100.0% falling
125 Kuwait 2 1000 t 2023 up 100.0% volatile
125 Niger 2 1000 t 2023 down 88.9% falling
125 Oman 2 1000 t 2023 up 100.0% rising
125 Slovenia 2 1000 t 2023 unchanged falling
125 Sweden 2 1000 t 2023 unchanged falling
125 Cabo Verde 2 1000 t 2023 unchanged rising
135 Bahrain 1 1000 t 2023 — rising
135 Bhutan 1 1000 t 2023 — volatile
135 Cyprus 1 1000 t 2023 down 50.0% falling
135 Denmark 1 1000 t 2023 unchanged flat
135 Guyana 1 1000 t 2023 — volatile
135 Lithuania 1 1000 t 2023 down 93.3% volatile
135 Montenegro 1 1000 t 2023 unchanged falling
135 Mauritius 1 1000 t 2023 unchanged rising
135 Nigeria 1 1000 t 2023 — volatile
135 Norway 1 1000 t 2023 unchanged flat
135 Sao Tome and Principe 1 1000 t 2023 unchanged flat
135 Suriname 1 1000 t 2023 — volatile
135 Slovakia 1 1000 t 2023 down 50.0% falling
135 Trinidad and Tobago 1 1000 t 2023 down 50.0% rising
149 Burkina Faso 0 1000 t 2023 up 100.0% volatile
149 Comoros 0 1000 t 2023 — volatile
149 Estonia 0 1000 t 2023 down 100.0% volatile
149 Guinea-Bissau 0 1000 t 2023 down 100.0% volatile
149 Liberia 0 1000 t 2023 down 100.0% volatile
149 Latvia 0 1000 t 2023 down 100.0% volatile
149 Malta 0 1000 t 2023 down 100.0% volatile
149 Namibia 0 1000 t 2023 — volatile
149 Sierra Leone 0 1000 t 2023 — volatile
149 Melanesia 0 1000 t 2023 — volatile
149 China, Macao SAR 0 1000 t 2023 — volatile
191 Botswana -2 1000 t 2023 down 140.0% volatile
192 Turkmenistan -4 1000 t 2023 — volatile
193 Poland -8 1000 t 2023 down 122.9% volatile
194 Uzbekistan -262 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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Beans — 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/beans-domestic-supply-quantity/

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About this data

Indicator
Beans — 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
224 places, 3,026 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.