Animal fats — 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
1,856 1000 t
Netherlands (Kingdom of the)
Lowest
0 1000 t
Micronesia (Federated States of)
Median
6 1000 t
Years covered
14
2010–2023
Data points
2,901

What the numbers show

Animal fats — Import quantity is currently reported for 182 countries. The highest value is 1,856 1000 t in Netherlands (Kingdom of the); the lowest is 0 1000 t in Micronesia (Federated States of).

The median across all reporting countries is 6 1000 t, and the mean is 60.23 1000 t.

Over the past decade 85 countries rose and 47 fell. The largest increase was in Iraq (up 6,200.0%), and the largest decrease in Gabon (down 100.0%).

Animal fats — Import quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Netherlands (Kingdom of the) 1,856 1000 t 2023 up 119.4% volatile
2 China 826 1000 t 2023 up 69.6% rising
3 France 797 1000 t 2023 up 66.7% rising
4 China, mainland 714 1000 t 2023 up 114.4% rising
5 Germany 682 1000 t 2023 up 10.0% rising
6 Belgium 624 1000 t 2023 up 27.1% rising
7 Italy 379 1000 t 2023 down 0.3% flat
8 Spain 288 1000 t 2023 down 1.0% falling
9 Poland 287 1000 t 2023 up 109.5% rising
10 Malaysia 286 1000 t 2023 up 921.4% volatile
11 Denmark 248 1000 t 2023 up 23.4% flat
12 Norway 231 1000 t 2023 up 29.1% rising
13 Mexico 218 1000 t 2023 down 60.4% falling
14 United Kingdom of Great Britain and Northern Ireland 208 1000 t 2023 down 20.3% falling
15 Canada 207 1000 t 2023 up 59.2% rising
16 Philippines 152 1000 t 2023 up 81.0% rising
17 Russian Federation 138 1000 t 2023 down 73.6% falling
18 Chile 126 1000 t 2023 up 26.0% rising
19 Ireland 124 1000 t 2023 up 169.6% rising
20 Czechia 119 1000 t 2023 up 17.8% rising
21 Republic of Korea 108 1000 t 2023 up 111.8% flat
22 Slovakia 98 1000 t 2023 up 32.4% rising
23 Greece 96 1000 t 2023 up 45.5% rising
24 Viet Nam 95 1000 t 2023 up 48.4% rising
25 China, Taiwan Province of 81 1000 t 2023 down 29.6% falling
26 Türkiye 80 1000 t 2023 down 38.9% falling
26 Australia and New Zealand 80 1000 t 2023 up 37.9% rising
28 United Arab Emirates 72 1000 t 2023 up 75.6% rising
29 Australia 70 1000 t 2023 up 40.0% rising
29 Brazil 70 1000 t 2023 up 75.0% rising
31 Thailand 66 1000 t 2023 up 100.0% rising
31 Uruguay 66 1000 t 2023 up 500.0% volatile
33 Austria 65 1000 t 2023 up 25.0% rising
33 Nigeria 65 1000 t 2023 up 80.6% volatile
35 Iraq 63 1000 t 2023 up 6,200.0% volatile
36 Romania 56 1000 t 2023 up 93.1% rising
36 Saudi Arabia 56 1000 t 2023 up 3.7% falling
38 Uzbekistan 55 1000 t 2023 up 5.8% volatile
39 Portugal 48 1000 t 2023 up 20.0% rising
40 Hungary 47 1000 t 2023 down 16.1% falling
41 Azerbaijan 44 1000 t 2023 up 193.3% rising
42 Ukraine 43 1000 t 2023 down 63.9% falling
43 Indonesia 39 1000 t 2023 up 8.3% rising
44 Guatemala 36 1000 t 2023 up 71.4% volatile
45 Sweden 35 1000 t 2023 down 34.0% falling
46 Lithuania 30 1000 t 2023 up 50.0% rising
47 Bulgaria 27 1000 t 2023 up 28.6% rising
47 Kazakhstan 27 1000 t 2023 up 28.6% rising
47 China, Hong Kong SAR 27 1000 t 2023 down 28.9% falling
50 Switzerland 26 1000 t 2023 up 73.3% rising
50 Serbia 26 1000 t 2023 up 420.0% volatile
52 Caribbean 25 1000 t 2023 down 60.3% falling
53 Jordan 24 1000 t 2023 up 71.4% rising
54 Armenia 20 1000 t 2023 up 81.8% rising
54 Croatia 20 1000 t 2023 up 53.8% rising
54 Syrian Arab Republic 20 1000 t 2023 down 48.7% falling
57 Georgia 19 1000 t 2023 up 111.1% volatile
57 Nepal 19 1000 t 2023 up 111.1% rising
59 Egypt 18 1000 t 2023 down 60.0% falling
60 Morocco 16 1000 t 2023 down 60.0% falling
60 Tajikistan 16 1000 t 2023 volatile
62 Slovenia 15 1000 t 2023 up 200.0% rising
63 Bahrain 14 1000 t 2023 falling
63 Finland 14 1000 t 2023 down 65.9% volatile
63 El Salvador 14 1000 t 2023 up 55.6% rising
66 Angola 13 1000 t 2023 up 225.0% falling
66 Argentina 13 1000 t 2023 up 44.4% falling
66 Pakistan 13 1000 t 2023 down 59.4% volatile
69 Israel 12 1000 t 2023 down 67.6% volatile
69 Latvia 12 1000 t 2023 up 9.1% rising
69 Peru 12 1000 t 2023 down 52.0% falling
72 Colombia 11 1000 t 2023 down 52.2% falling
72 Cuba 11 1000 t 2019 up 83.3% volatile
72 Ecuador 11 1000 t 2023 up 120.0% rising
72 Iceland 11 1000 t 2023 down 15.4% rising
72 Kuwait 11 1000 t 2023 unchanged rising
77 Bosnia and Herzegovina 10 1000 t 2023 up 42.9% rising
77 Libya 10 1000 t 2023 up 66.7% rising
79 Cambodia 9 1000 t 2023 up 350.0% volatile
79 New Zealand 9 1000 t 2023 up 12.5% rising
81 Bangladesh 8 1000 t 2023 up 33.3% rising
81 Ethiopia 8 1000 t 2023 up 166.7% volatile
81 Luxembourg 8 1000 t 2023 unchanged volatile
84 Estonia 7 1000 t 2023 up 16.7% flat
84 Lebanon 7 1000 t 2023 down 22.2% falling
84 Panama 7 1000 t 2023 up 40.0% rising
84 Qatar 7 1000 t 2023 rising
88 Afghanistan 6 1000 t 2023 down 68.4% volatile
88 Albania 6 1000 t 2023 up 200.0% volatile
88 Honduras 6 1000 t 2023 down 85.0% volatile
88 Trinidad and Tobago 6 1000 t 2023 down 25.0% falling
88 Tunisia 6 1000 t 2023 up 500.0% volatile
88 Yemen 6 1000 t 2023 up 50.0% rising
88 Melanesia 6 1000 t 2023 down 40.0% flat
88 Bolivia (Plurinational State of) 6 1000 t 2023 up 50.0% rising
96 Kyrgyzstan 5 1000 t 2023 up 66.7% volatile
96 Mozambique 5 1000 t 2023 up 400.0% volatile
96 Oman 5 1000 t 2023 up 66.7% volatile
96 Zimbabwe 5 1000 t 2023 down 50.0% volatile
100 Cameroon 4 1000 t 2023 up 33.3% falling
100 Dominican Republic 4 1000 t 2023 down 88.2% volatile
100 Haiti 4 1000 t 2023 down 20.0% volatile
100 India 4 1000 t 2023 up 100.0% volatile
100 Senegal 4 1000 t 2023 down 33.3% volatile
100 Republic of Moldova 4 1000 t 2023 unchanged rising
100 China, Macao SAR 4 1000 t 2023 up 100.0% rising
107 Botswana 3 1000 t 2023 up 200.0% volatile
107 Costa Rica 3 1000 t 2023 up 200.0% rising
107 Cyprus 3 1000 t 2023 up 50.0% rising
107 Algeria 3 1000 t 2023 down 80.0% falling
107 Fiji 3 1000 t 2023 unchanged rising
107 Jamaica 3 1000 t 2023 up 50.0% rising
107 Madagascar 3 1000 t 2023 up 50.0% flat
107 North Macedonia 3 1000 t 2023 up 50.0% rising
107 Mongolia 3 1000 t 2023 up 50.0% rising
107 Mauritania 3 1000 t 2023 up 50.0% volatile
107 Mauritius 3 1000 t 2023 up 50.0% rising
107 Zambia 3 1000 t 2023 up 50.0% volatile
107 Polynesia 3 1000 t 2023 unchanged rising
120 Burkina Faso 2 1000 t 2023 up 100.0% volatile
120 Belarus 2 1000 t 2023 down 88.9% falling
120 Maldives 2 1000 t 2023 up 100.0% volatile
120 Montenegro 2 1000 t 2023 up 100.0% rising
120 New Caledonia 2 1000 t 2023 down 33.3% falling
120 Paraguay 2 1000 t 2023 volatile
120 French Polynesia 2 1000 t 2023 down 33.3% falling
120 Turkmenistan 2 1000 t 2023 up 100.0% volatile
120 Venezuela (Bolivarian Republic of) 2 1000 t 2023 down 89.5% volatile
120 Côte d'Ivoire 2 1000 t 2023 unchanged rising
120 United Republic of Tanzania 2 1000 t 2023 up 100.0% volatile
131 Antigua and Barbuda 1 1000 t 2023 unchanged volatile
131 Bahamas 1 1000 t 2023 unchanged falling
131 Belize 1 1000 t 2023 unchanged rising
131 Barbados 1 1000 t 2023 unchanged flat
131 Bhutan 1 1000 t 2023 volatile
131 Congo 1 1000 t 2023 volatile
131 Comoros 1 1000 t 2023 volatile
131 Djibouti 1 1000 t 2023 unchanged volatile
131 Ghana 1 1000 t 2023 down 66.7% falling
131 Kenya 1 1000 t 2023 down 66.7% volatile
131 Saint Lucia 1 1000 t 2023 volatile
131 Sri Lanka 1 1000 t 2023 down 75.0% falling
131 Malta 1 1000 t 2023 unchanged flat
131 Myanmar 1 1000 t 2023 down 66.7% volatile
131 Namibia 1 1000 t 2023 down 50.0% volatile
131 Nicaragua 1 1000 t 2023 down 87.5% volatile
131 Papua New Guinea 1 1000 t 2023 down 66.7% volatile
131 Eswatini 1 1000 t 2023 unchanged flat
131 Seychelles 1 1000 t 2023 volatile
131 Samoa 1 1000 t 2023 volatile
131 Democratic Republic of the Congo 1 1000 t 2023 unchanged volatile
131 Iran (Islamic Republic of) 1 1000 t 2023 down 97.8% volatile
131 Lao People's Democratic Republic 1 1000 t 2023 volatile
131 Democratic People's Republic of Korea 1 1000 t 2018 volatile
155 Gabon 0 1000 t 2023 down 100.0% flat
155 Guinea 0 1000 t 2023 volatile
155 Gambia 0 1000 t 2023 down 100.0% volatile
155 Guinea-Bissau 0 1000 t 2023 flat
155 Grenada 0 1000 t 2023 flat
155 Guyana 0 1000 t 2023 flat
155 Kiribati 0 1000 t 2023 flat
155 Saint Kitts and Nevis 0 1000 t 2023 flat
155 Liberia 0 1000 t 2023 volatile
155 Lesotho 0 1000 t 2023 volatile
155 Marshall Islands 0 1000 t 2023 flat
155 Malawi 0 1000 t 2023 down 100.0% volatile
155 Niger 0 1000 t 2023 volatile
155 Nauru 0 1000 t 2023 flat
155 Rwanda 0 1000 t 2023 volatile
155 Solomon Islands 0 1000 t 2023 volatile
155 Sierra Leone 0 1000 t 2023 flat
155 Sao Tome and Principe 0 1000 t 2023 flat
155 Suriname 0 1000 t 2023 volatile
155 Tonga 0 1000 t 2023 flat
155 Tuvalu 0 1000 t 2023 flat
155 Uganda 0 1000 t 2023 volatile
155 Saint Vincent and the Grenadines 0 1000 t 2023 flat
155 Vanuatu 0 1000 t 2023 flat
155 Micronesia 0 1000 t 2023 flat
155 Timor-Leste 0 1000 t 2023 volatile
155 Cabo Verde 0 1000 t 2023 down 100.0% volatile
155 Micronesia (Federated States 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
Animal fats — 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.