Bovine Meat — 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
182
Highest
4,150 1000 t
China
Lowest
0 1000 t
Democratic People's Republic of Korea
Median
8 1000 t
Years covered
14
2010–2023
Data points
2,901

What the numbers show

Bovine Meat — Import quantity is currently reported for 182 countries. The highest value is 4,150 1000 t in China; the lowest is 0 1000 t in Democratic People's Republic of Korea.

The median across all reporting countries is 8 1000 t, and the mean is 90.88 1000 t.

Over the past decade 69 countries rose and 55 fell. The largest increase was in Uruguay (up 2,800.0%), and the largest decrease in Afghanistan (down 100.0%).

Bovine Meat — Import quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China 4,150 1000 t 2023 up 409.8% volatile
2 China, mainland 3,734 1000 t 2023 up 847.7% volatile
3 Republic of Korea 633 1000 t 2023 up 48.9% rising
4 Italy 433 1000 t 2023 down 8.1% falling
5 Germany 429 1000 t 2023 up 10.6% rising
6 Netherlands (Kingdom of the) 427 1000 t 2023 up 2.9% rising
7 United Kingdom of Great Britain and Northern Ireland 403 1000 t 2023 down 12.8% falling
8 Chile 377 1000 t 2023 up 52.6% rising
9 France 366 1000 t 2023 down 3.4% falling
10 Indonesia 322 1000 t 2023 up 373.5% volatile
11 Malaysia 302 1000 t 2023 up 53.3% rising
12 Canada 266 1000 t 2023 down 16.6% falling
12 Viet Nam 266 1000 t 2023 down 12.2% volatile
14 Russian Federation 258 1000 t 2023 down 71.2% falling
15 United Arab Emirates 241 1000 t 2023 up 322.8% volatile
16 Saudi Arabia 218 1000 t 2023 up 32.9% rising
17 Philippines 212 1000 t 2023 up 89.3% rising
18 China, Taiwan Province of 205 1000 t 2023 up 56.5% rising
19 China, Hong Kong SAR 198 1000 t 2023 down 30.3% rising
20 Portugal 170 1000 t 2023 up 54.5% rising
21 Spain 167 1000 t 2023 up 19.3% rising
22 Mexico 161 1000 t 2023 down 22.2% falling
23 Egypt 137 1000 t 2023 down 48.3% falling
24 Iraq 130 1000 t 2023 up 176.6% rising
25 Greece 128 1000 t 2023 up 8.5% falling
26 Israel 116 1000 t 2023 up 13.7% rising
27 Sweden 115 1000 t 2023 down 7.3% falling
28 Denmark 101 1000 t 2023 down 24.6% falling
29 Belgium 92 1000 t 2023 up 9.5% rising
30 Czechia 77 1000 t 2023 up 133.3% rising
31 Uzbekistan 66 1000 t 2023 up 2,100.0% volatile
32 Austria 60 1000 t 2023 up 42.9% rising
33 Caribbean 59 1000 t 2023 up 5.4% falling
34 Uruguay 58 1000 t 2023 up 2,800.0% volatile
35 Brazil 56 1000 t 2023 unchanged rising
36 Jordan 55 1000 t 2023 down 1.8% flat
37 Ireland 48 1000 t 2023 up 11.6% falling
37 Poland 48 1000 t 2023 up 182.4% rising
39 El Salvador 46 1000 t 2023 up 119.0% rising
40 Kuwait 45 1000 t 2023 down 2.2% rising
41 Cambodia 44 1000 t 2023 volatile
42 Croatia 42 1000 t 2023 up 250.0% rising
43 Iran (Islamic Republic of) 41 1000 t 2023 down 52.9% volatile
44 Bosnia and Herzegovina 39 1000 t 2023 up 95.0% rising
44 Qatar 39 1000 t 2023 rising
44 Türkiye 39 1000 t 2023 up 550.0% volatile
47 Lebanon 38 1000 t 2023 down 2.6% falling
48 Libya 35 1000 t 2023 up 45.8% rising
49 Thailand 34 1000 t 2023 down 46.9% falling
50 Slovakia 31 1000 t 2023 up 55.0% rising
51 Switzerland 28 1000 t 2023 down 15.2% rising
51 Hungary 28 1000 t 2023 down 3.4% rising
51 Australia and New Zealand 28 1000 t 2023 up 12.0% rising
54 Guatemala 27 1000 t 2023 up 285.7% rising
54 Romania 27 1000 t 2023 up 50.0% rising
56 Ghana 23 1000 t 2023 up 187.5% rising
56 Senegal 23 1000 t 2023 up 475.0% volatile
58 Angola 22 1000 t 2023 down 65.6% volatile
59 Bahrain 21 1000 t 2023 rising
60 Finland 17 1000 t 2023 down 32.0% flat
60 Oman 17 1000 t 2023 down 51.4% flat
62 Albania 16 1000 t 2023 up 700.0% volatile
62 Australia 16 1000 t 2023 up 60.0% rising
62 Kazakhstan 16 1000 t 2023 down 51.5% falling
65 Costa Rica 15 1000 t 2023 up 114.3% rising
66 Luxembourg 14 1000 t 2023 up 40.0% rising
66 North Macedonia 14 1000 t 2023 up 27.3% rising
66 Slovenia 14 1000 t 2023 up 40.0% rising
69 China, Macao SAR 13 1000 t 2023 up 116.7% rising
70 Congo 12 1000 t 2023 down 14.3% rising
70 Cuba 12 1000 t 2019 down 20.0% rising
70 Dominican Republic 12 1000 t 2023 up 500.0% rising
70 Gabon 12 1000 t 2023 down 14.3% falling
70 New Zealand 12 1000 t 2023 down 20.0% falling
70 Paraguay 12 1000 t 2023 up 500.0% volatile
70 Melanesia 12 1000 t 2023 down 29.4% falling
77 Azerbaijan 11 1000 t 2023 up 57.1% rising
77 Bulgaria 11 1000 t 2023 unchanged falling
77 Algeria 11 1000 t 2023 down 87.6% volatile
77 Norway 11 1000 t 2023 down 35.3% rising
81 Jamaica 10 1000 t 2023 up 42.9% rising
81 Latvia 10 1000 t 2023 up 100.0% rising
81 Trinidad and Tobago 10 1000 t 2023 unchanged rising
84 Bahamas 9 1000 t 2023 down 57.1% volatile
84 Colombia 9 1000 t 2023 up 200.0% volatile
84 Georgia 9 1000 t 2023 up 12.5% falling
84 Lithuania 9 1000 t 2023 up 200.0% volatile
84 Malta 9 1000 t 2023 up 12.5% rising
84 Peru 9 1000 t 2023 up 50.0% rising
84 Polynesia 9 1000 t 2023 down 18.2% flat
91 Cyprus 8 1000 t 2023 up 166.7% rising
91 Morocco 8 1000 t 2023 down 33.3% falling
91 Maldives 8 1000 t 2023 up 60.0% rising
91 Mauritius 8 1000 t 2023 up 33.3% rising
95 Armenia 7 1000 t 2023 down 12.5% falling
95 Estonia 7 1000 t 2023 up 40.0% rising
95 Montenegro 7 1000 t 2023 up 75.0% rising
95 French Polynesia 7 1000 t 2023 down 30.0% falling
95 Democratic Republic of the Congo 7 1000 t 2023 up 75.0% rising
100 Myanmar 6 1000 t 2023 up 500.0% volatile
100 Papua New Guinea 6 1000 t 2023 down 25.0% falling
100 Sierra Leone 6 1000 t 2023 up 500.0% volatile
103 Panama 5 1000 t 2023 down 28.6% falling
103 Lao People's Democratic Republic 5 1000 t 2023 volatile
105 Barbados 4 1000 t 2023 unchanged flat
105 Bhutan 4 1000 t 2023 rising
105 Lesotho 4 1000 t 2023 up 100.0% volatile
105 Mozambique 4 1000 t 2023 up 300.0% falling
109 Argentina 3 1000 t 2023 volatile
109 Ecuador 3 1000 t 2023 up 200.0% rising
109 Guinea 3 1000 t 2023 up 200.0% rising
109 Honduras 3 1000 t 2023 unchanged rising
109 Kyrgyzstan 3 1000 t 2023 unchanged volatile
109 New Caledonia 3 1000 t 2023 down 25.0% falling
109 Serbia 3 1000 t 2023 up 200.0% volatile
109 Tunisia 3 1000 t 2023 down 40.0% falling
109 Ukraine 3 1000 t 2023 down 40.0% falling
109 Micronesia 3 1000 t 2023 up 200.0% volatile
109 Bolivia (Plurinational State of) 3 1000 t 2023 volatile
109 Côte d'Ivoire 3 1000 t 2023 unchanged falling
121 Antigua and Barbuda 2 1000 t 2023 up 100.0% rising
121 Botswana 2 1000 t 2023 down 33.3% falling
121 Comoros 2 1000 t 2023 unchanged falling
121 Fiji 2 1000 t 2023 unchanged falling
121 Gambia 2 1000 t 2023 volatile
121 Iceland 2 1000 t 2023 volatile
121 Eswatini 2 1000 t 2023 down 50.0% volatile
121 Seychelles 2 1000 t 2023 up 100.0% rising
129 Cameroon 1 1000 t 2023 unchanged flat
129 Grenada 1 1000 t 2023 volatile
129 Guyana 1 1000 t 2023 volatile
129 Haiti 1 1000 t 2023 unchanged volatile
129 Kiribati 1 1000 t 2023 unchanged falling
129 Liberia 1 1000 t 2023 down 50.0% volatile
129 Saint Lucia 1 1000 t 2023 unchanged rising
129 Marshall Islands 1 1000 t 2023 flat
129 Namibia 1 1000 t 2023 unchanged volatile
129 Nigeria 1 1000 t 2023 unchanged volatile
129 Nicaragua 1 1000 t 2023 unchanged rising
129 Solomon Islands 1 1000 t 2023 down 66.7% volatile
129 Suriname 1 1000 t 2023 down 66.7% falling
129 Tajikistan 1 1000 t 2023 unchanged volatile
129 Tonga 1 1000 t 2023 flat
129 Saint Vincent and the Grenadines 1 1000 t 2023 unchanged flat
129 Vanuatu 1 1000 t 2023 unchanged volatile
129 Samoa 1 1000 t 2023 unchanged flat
129 Cabo Verde 1 1000 t 2023 unchanged falling
129 Republic of Moldova 1 1000 t 2023 unchanged rising
129 Micronesia (Federated States of) 1 1000 t 2023 flat
150 Afghanistan 0 1000 t 2023 down 100.0% volatile
150 Burkina Faso 0 1000 t 2023 flat
150 Bangladesh 0 1000 t 2023 volatile
150 Belarus 0 1000 t 2023 down 100.0% volatile
150 Belize 0 1000 t 2023 volatile
150 Djibouti 0 1000 t 2023 down 100.0% volatile
150 Ethiopia 0 1000 t 2023 flat
150 Guinea-Bissau 0 1000 t 2023 flat
150 India 0 1000 t 2023 flat
150 Kenya 0 1000 t 2023 volatile
150 Saint Kitts and Nevis 0 1000 t 2023 down 100.0% volatile
150 Sri Lanka 0 1000 t 2023 volatile
150 Madagascar 0 1000 t 2023 flat
150 Mongolia 0 1000 t 2023 flat
150 Mauritania 0 1000 t 2023 volatile
150 Malawi 0 1000 t 2023 flat
150 Niger 0 1000 t 2023 volatile
150 Nepal 0 1000 t 2023 volatile
150 Nauru 0 1000 t 2023 flat
150 Pakistan 0 1000 t 2023 down 100.0% volatile
150 Rwanda 0 1000 t 2023 flat
150 Sao Tome and Principe 0 1000 t 2023 volatile
150 Turkmenistan 0 1000 t 2023 down 100.0% volatile
150 Tuvalu 0 1000 t 2023 flat
150 Uganda 0 1000 t 2023 flat
150 Yemen 0 1000 t 2023 down 100.0% volatile
150 Zambia 0 1000 t 2023 volatile
150 Zimbabwe 0 1000 t 2023 down 100.0% volatile
150 Timor-Leste 0 1000 t 2023 flat
150 Syrian Arab Republic 0 1000 t 2023 down 100.0% volatile
150 Venezuela (Bolivarian Republic of) 0 1000 t 2023 down 100.0% volatile
150 United Republic of Tanzania 0 1000 t 2023 down 100.0% volatile
150 Democratic People's Republic of Korea 0 1000 t 2018 volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

About this data

Indicator
Bovine Meat — Import quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,901 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.