Pigmeat — 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
180
Highest
2,150 1000 t
China
Lowest
0 1000 t
Iran (Islamic Republic of)
Median
6 1000 t
Years covered
14
2010–2023
Data points
2,859

What the numbers show

Pigmeat — Import quantity is currently reported for 180 countries. The highest value is 2,150 1000 t in China; the lowest is 0 1000 t in Iran (Islamic Republic of).

The median across all reporting countries is 6 1000 t, and the mean is 99.2 1000 t.

Over the past decade 84 countries rose and 35 fell. The largest increase was in Viet Nam (up 11,000.0%), and the largest decrease in Afghanistan (down 100.0%).

Pigmeat — Import quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 China 2,150 1000 t 2023 up 59.4% volatile
2 China, mainland 1,733 1000 t 2023 up 112.6% volatile
3 Mexico 1,403 1000 t 2023 up 100.7% rising
4 Italy 1,151 1000 t 2023 up 6.7% flat
5 Germany 961 1000 t 2023 down 19.0% falling
6 United Kingdom of Great Britain and Northern Ireland 925 1000 t 2023 down 7.3% falling
7 Poland 702 1000 t 2023 up 11.6% rising
8 Republic of Korea 625 1000 t 2023 up 55.1% rising
9 France 563 1000 t 2023 down 8.2% falling
10 Romania 504 1000 t 2023 up 145.9% rising
11 Philippines 402 1000 t 2023 up 235.0% volatile
12 Czechia 400 1000 t 2023 up 33.8% rising
13 Netherlands (Kingdom of the) 382 1000 t 2023 up 42.0% rising
14 Australia and New Zealand 324 1000 t 2023 up 8.4% rising
15 Canada 301 1000 t 2023 up 23.9% rising
16 China, Hong Kong SAR 260 1000 t 2023 down 44.6% falling
17 Greece 250 1000 t 2023 up 1.6% falling
18 Australia 249 1000 t 2023 up 1.6% rising
19 Belgium 240 1000 t 2023 up 37.9% rising
20 Hungary 236 1000 t 2023 up 43.0% rising
21 Slovakia 230 1000 t 2023 up 65.5% rising
22 Caribbean 204 1000 t 2023 up 124.2% rising
23 Austria 199 1000 t 2023 unchanged falling
24 Colombia 175 1000 t 2023 up 165.2% volatile
25 Spain 173 1000 t 2023 up 13.8% rising
26 Bulgaria 171 1000 t 2023 up 34.6% rising
27 Croatia 157 1000 t 2023 up 80.5% rising
28 Denmark 150 1000 t 2023 down 5.7% rising
29 Portugal 142 1000 t 2023 down 13.9% falling
30 Chile 120 1000 t 2023 up 155.3% volatile
31 China, Taiwan Province of 119 1000 t 2023 up 221.6% rising
32 Viet Nam 111 1000 t 2023 up 11,000.0% volatile
33 Malaysia 110 1000 t 2023 up 450.0% volatile
34 Lithuania 105 1000 t 2023 up 23.5% rising
35 Dominican Republic 102 1000 t 2023 up 410.0% volatile
36 Sweden 98 1000 t 2023 down 32.9% falling
37 Ireland 94 1000 t 2023 down 16.8% flat
38 Kazakhstan 81 1000 t 2023 up 15.7% rising
39 New Zealand 76 1000 t 2023 up 40.7% rising
40 Latvia 74 1000 t 2023 up 34.5% rising
41 Angola 70 1000 t 2023 down 30.7% rising
42 Honduras 69 1000 t 2023 up 102.9% rising
43 Uruguay 68 1000 t 2023 up 94.3% rising
44 Serbia 65 1000 t 2023 up 150.0% rising
45 Slovenia 62 1000 t 2023 up 29.2% rising
46 Guatemala 59 1000 t 2023 up 126.9% rising
47 Congo 51 1000 t 2023 up 537.5% volatile
48 Estonia 47 1000 t 2023 up 27.0% rising
49 Georgia 42 1000 t 2023 up 82.6% rising
50 Montenegro 39 1000 t 2023 up 25.8% rising
51 Bosnia and Herzegovina 38 1000 t 2023 up 65.2% rising
51 China, Macao SAR 38 1000 t 2023 up 35.7% rising
53 Democratic Republic of the Congo 37 1000 t 2023 up 164.3% rising
54 El Salvador 32 1000 t 2023 up 146.2% rising
55 Nicaragua 31 1000 t 2023 up 138.5% rising
56 Finland 30 1000 t 2023 down 25.0% falling
57 Cuba 24 1000 t 2019 down 44.2% falling
57 Haiti 24 1000 t 2023 up 166.7% rising
57 Ukraine 24 1000 t 2023 down 87.4% volatile
60 United Arab Emirates 23 1000 t 2023 up 53.3% rising
60 North Macedonia 23 1000 t 2023 up 21.1% rising
62 Costa Rica 22 1000 t 2023 up 214.3% rising
63 Panama 21 1000 t 2023 up 31.2% rising
64 Argentina 19 1000 t 2023 unchanged flat
64 Gabon 19 1000 t 2023 up 58.3% rising
66 Armenia 18 1000 t 2023 up 12.5% rising
66 Iraq 18 1000 t 2023 volatile
66 Peru 18 1000 t 2023 up 157.1% rising
69 Cyprus 16 1000 t 2023 up 77.8% rising
70 Albania 15 1000 t 2023 unchanged falling
70 Luxembourg 15 1000 t 2023 unchanged flat
70 Melanesia 15 1000 t 2023 unchanged rising
70 Venezuela (Bolivarian Republic of) 15 1000 t 2023 down 11.8% volatile
74 Bahamas 14 1000 t 2023 down 17.6% falling
75 Switzerland 13 1000 t 2023 down 27.8% rising
76 Lesotho 12 1000 t 2023 up 1,100.0% volatile
77 Cambodia 10 1000 t 2023 volatile
77 Malta 10 1000 t 2023 up 11.1% rising
77 Trinidad and Tobago 10 1000 t 2023 unchanged rising
77 Polynesia 10 1000 t 2023 up 100.0% rising
81 Azerbaijan 9 1000 t 2023 up 800.0% volatile
81 Republic of Moldova 9 1000 t 2023 up 12.5% rising
83 Nigeria 8 1000 t 2023 up 700.0% volatile
83 Paraguay 8 1000 t 2023 up 166.7% rising
85 Indonesia 7 1000 t 2023 up 133.3% volatile
85 Mozambique 7 1000 t 2023 up 133.3% rising
85 Papua New Guinea 7 1000 t 2023 down 22.2% rising
85 Democratic People's Republic of Korea 7 1000 t 2018 up 250.0% rising
89 Ghana 6 1000 t 2023 down 45.5% volatile
89 New Caledonia 6 1000 t 2023 up 20.0% rising
89 Norway 6 1000 t 2023 down 25.0% volatile
89 Oman 6 1000 t 2023 up 500.0% volatile
89 Timor-Leste 6 1000 t 2023 up 200.0% volatile
94 Belize 5 1000 t 2023 up 66.7% rising
94 Guyana 5 1000 t 2023 up 150.0% rising
94 Lebanon 5 1000 t 2023 down 28.6% falling
94 Mauritius 5 1000 t 2023 up 25.0% rising
94 French Polynesia 5 1000 t 2023 up 66.7% rising
94 Cabo Verde 5 1000 t 2023 up 150.0% rising
94 Russian Federation 5 1000 t 2023 down 99.5% volatile
101 Barbados 4 1000 t 2023 up 33.3% rising
101 Namibia 4 1000 t 2023 down 20.0% rising
101 Sierra Leone 4 1000 t 2023 up 33.3% volatile
101 Tajikistan 4 1000 t 2023 unchanged falling
101 Micronesia 4 1000 t 2023 volatile
101 Syrian Arab Republic 4 1000 t 2023 volatile
107 Antigua and Barbuda 3 1000 t 2023 up 50.0% volatile
107 Brazil 3 1000 t 2023 up 50.0% rising
107 Liberia 3 1000 t 2023 down 50.0% rising
107 Suriname 3 1000 t 2023 unchanged rising
107 Seychelles 3 1000 t 2023 up 50.0% rising
107 Samoa 3 1000 t 2023 up 50.0% rising
107 Côte d'Ivoire 3 1000 t 2023 down 88.5% falling
114 Cameroon 2 1000 t 2023 down 33.3% falling
114 Gambia 2 1000 t 2023 volatile
114 Grenada 2 1000 t 2023 up 100.0% rising
114 Iceland 2 1000 t 2023 up 100.0% volatile
114 Jamaica 2 1000 t 2023 unchanged falling
114 Kenya 2 1000 t 2023 volatile
114 Kyrgyzstan 2 1000 t 2023 down 77.8% volatile
114 Saint Lucia 2 1000 t 2023 up 100.0% rising
114 Mongolia 2 1000 t 2023 up 100.0% volatile
114 Tonga 2 1000 t 2023 rising
114 Uzbekistan 2 1000 t 2023 down 33.3% volatile
114 Saint Vincent and the Grenadines 2 1000 t 2023 up 100.0% rising
114 Türkiye 2 1000 t 2023 up 100.0% volatile
127 Bangladesh 1 1000 t 2023 volatile
127 Bahrain 1 1000 t 2023 falling
127 Botswana 1 1000 t 2023 unchanged flat
127 Ecuador 1 1000 t 2023 down 87.5% volatile
127 Fiji 1 1000 t 2023 volatile
127 Guinea 1 1000 t 2023 volatile
127 India 1 1000 t 2023 unchanged falling
127 Kiribati 1 1000 t 2023 volatile
127 Saint Kitts and Nevis 1 1000 t 2023 volatile
127 Marshall Islands 1 1000 t 2023 flat
127 Senegal 1 1000 t 2023 volatile
127 Solomon Islands 1 1000 t 2023 volatile
127 Eswatini 1 1000 t 2023 unchanged volatile
127 Uganda 1 1000 t 2023 unchanged rising
127 Vanuatu 1 1000 t 2023 volatile
127 Zambia 1 1000 t 2023 unchanged volatile
127 Bolivia (Plurinational State of) 1 1000 t 2023 down 75.0% volatile
127 Lao People's Democratic Republic 1 1000 t 2023 volatile
127 United Republic of Tanzania 1 1000 t 2023 unchanged volatile
127 Micronesia (Federated States of) 1 1000 t 2023 flat
147 Afghanistan 0 1000 t 2023 down 100.0% volatile
147 Burkina Faso 0 1000 t 2023 flat
147 Belarus 0 1000 t 2023 down 100.0% volatile
147 Bhutan 0 1000 t 2023 volatile
147 Comoros 0 1000 t 2023 flat
147 Djibouti 0 1000 t 2023 volatile
147 Algeria 0 1000 t 2023 volatile
147 Egypt 0 1000 t 2023 down 100.0% volatile
147 Ethiopia 0 1000 t 2023 volatile
147 Guinea-Bissau 0 1000 t 2023 flat
147 Israel 0 1000 t 2023 flat
147 Jordan 0 1000 t 2023 flat
147 Libya 0 1000 t 2023 volatile
147 Sri Lanka 0 1000 t 2023 flat
147 Morocco 0 1000 t 2023 flat
147 Madagascar 0 1000 t 2023 flat
147 Maldives 0 1000 t 2023 volatile
147 Myanmar 0 1000 t 2023 volatile
147 Mauritania 0 1000 t 2023 flat
147 Malawi 0 1000 t 2023 flat
147 Niger 0 1000 t 2023 flat
147 Nepal 0 1000 t 2023 flat
147 Nauru 0 1000 t 2023 flat
147 Pakistan 0 1000 t 2023 flat
147 Qatar 0 1000 t 2023 volatile
147 Rwanda 0 1000 t 2023 flat
147 Sao Tome and Principe 0 1000 t 2023 down 100.0% volatile
147 Thailand 0 1000 t 2023 down 100.0% volatile
147 Turkmenistan 0 1000 t 2023 down 100.0% volatile
147 Tunisia 0 1000 t 2023 flat
147 Tuvalu 0 1000 t 2023 flat
147 Yemen 0 1000 t 2023 volatile
147 Zimbabwe 0 1000 t 2023 down 100.0% volatile
147 Iran (Islamic Republic of) 0 1000 t 2023 flat

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
Pigmeat — Import quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
211 places, 2,859 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.