Statizoid

Brans — Import Quantity by country

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
173
Highest
813,315 t
T�rkiye
Lowest
0 t
Ethiopia PDR
Median
1,972 t
Years covered
53
1961–2013
Data points
9,789

What the numbers show

Brans — Import Quantity is currently reported for 173 countries. The highest value is 813,315 t in T�rkiye; the lowest is 0 t in Ethiopia PDR.

The median across all reporting countries is 1,972 t, and the mean is 44,032 t.

Over the past decade 80 countries rose and 60 fell. The largest increase was in Cambodia (up 1,787,500.0%), and the largest decrease in Belize (down 100.0%).

Brans — Import Quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 T�rkiye 813,315 t 2013 up 94.1% volatile
2 Canada 430,398 t 2013 up 35.3% volatile
2 Viet Nam 300,000 t 2013 up 95.5% volatile
3 Netherlands (Kingdom of the) 427,121 t 2013 down 23.4% falling
4 Germany 385,331 t 2013 up 88.6% volatile
4 Iran (Islamic Republic of) 41,242 t 2013 up 3,107.0% volatile
5 Egypt 312,411 t 2013 up 75.0% volatile
5 Venezuela (Bolivarian Republic of) 1,188 t 2013 down 70.3% volatile
6 Indonesia 266,815 t 2013 up 107.6% volatile
6 Republic of Moldova 382 t 2013 down 57.6% volatile
7 Japan 261,919 t 2013 up 59.7% falling
7 Melanesia 203 t 2013 up 480.0% volatile
8 China, mainland 239,619 t 2013 up 677.8% volatile
8 Democratic People's Republic of Korea 140 t 2013 down 80.7% volatile
9 Republic of Korea 223,206 t 2013 down 26.8% volatile
9 Polynesia 108 t 2013 down 81.5% volatile
10 Belgium 221,014 t 2013 up 39.6% rising
11 Morocco 215,400 t 2013 up 124.0% volatile
11 Bolivia (Plurinational State of) 64 t 2013 down 80.4% volatile
12 United Arab Emirates 211,708 t 2013 up 262.5% volatile
12 United Republic of Tanzania 3 t 2013 down 25.0% volatile
13 Malaysia 210,789 t 2013 up 283.9% rising
13 Micronesia 0 t 2013 — volatile
13 Lao People's Democratic Republic 0 t 2013 — volatile
14 Ireland 209,647 t 2013 up 19.3% rising
15 Israel 192,049 t 2013 up 1,010.9% volatile
16 France 160,225 t 2013 up 138.1% volatile
17 Uruguay 154,541 t 2013 up 8,533.6% volatile
18 United Kingdom of Great Britain and Northern Ireland 151,825 t 2013 up 75.3% volatile
19 South Africa 143,652 t 2013 up 140.8% volatile
20 Belgium-Luxembourg 122,238 t 1999 down 27.2% volatile
21 Spain 120,613 t 2013 up 41.4% volatile
22 Mexico 114,577 t 2013 down 64.1% volatile
23 India 111,955 t 2013 up 741.3% volatile
24 Poland 101,144 t 2013 down 37.2% volatile
25 Oman 90,593 t 2013 up 513.2% volatile
25 Caribbean 28,679 t 2013 up 149.6% volatile
26 Italy 84,102 t 2013 down 6.9% volatile
27 Latvia 81,816 t 2013 up 992.3% volatile
28 Jordan 66,037 t 2013 up 632.4% volatile
29 Denmark 61,720 t 2013 down 25.1% volatile
29 Cabo Verde 25 t 2013 — volatile
30 Portugal 61,093 t 2013 up 132.2% volatile
31 Argentina 60,480 t 2013 up 5,823.6% volatile
32 Tunisia 56,651 t 2013 up 111.1% volatile
33 Bosnia and Herzegovina 49,444 t 2013 up 1,185.3% volatile
34 Saudi Arabia 49,419 t 2013 up 123.9% volatile
35 Chile 48,475 t 2013 down 68.2% volatile
36 Brazil 47,496 t 2013 down 30.0% volatile
37 Romania 34,990 t 2013 down 31.3% volatile
38 China, Taiwan Province of 34,577 t 2013 down 80.0% volatile
39 Greece 29,590 t 2013 up 560.9% volatile
40 Norway 28,579 t 2013 up 5,354.0% volatile
41 Botswana 28,253 t 2013 up 1,974.4% volatile
42 Albania 26,413 t 2013 up 439.8% volatile
43 Kenya 26,096 t 2013 up 1,394.6% volatile
44 Zimbabwe 24,887 t 2013 up 526.6% volatile
45 Jamaica 24,262 t 2013 up 42,464.9% volatile
46 Austria 23,437 t 2013 up 93.7% volatile
47 Georgia 22,257 t 2013 up 1,101.1% volatile
48 Colombia 21,010 t 2013 down 10.2% volatile
49 Australia and New Zealand 20,201 t 2013 down 65.5% volatile
50 Philippines 20,180 t 2013 down 57.5% volatile
51 Russian Federation 19,798 t 2013 up 320.3% volatile
52 Ecuador 18,345 t 2013 up 133.8% volatile
53 Uzbekistan 17,927 t 2013 — volatile
54 Cambodia 17,876 t 2013 up 1,787,500.0% volatile
55 New Zealand 17,617 t 2013 up 9,797.2% volatile
56 Montenegro 14,772 t 2013 down 18.9% falling
57 Croatia 14,292 t 2013 down 13.2% volatile
58 Thailand 14,187 t 2013 down 36.3% volatile
59 China, Hong Kong SAR 13,250 t 2013 down 63.4% volatile
60 Niger 11,324 t 2013 up 5.1% volatile
61 Sweden 10,741 t 2013 up 431.7% volatile
62 Honduras 10,455 t 2013 down 67.3% volatile
63 El Salvador 9,575 t 2013 up 13.1% volatile
64 Hungary 9,487 t 2013 up 279.3% volatile
65 Czechia 9,425 t 2013 up 1,156.7% volatile
66 Nepal 8,227 t 2013 up 228.3% volatile
67 Costa Rica 8,215 t 2013 down 34.6% volatile
68 Slovenia 7,899 t 2013 down 47.0% volatile
69 Estonia 7,651 t 2013 up 73.3% volatile
70 Namibia 6,173 t 2013 up 3,687.1% volatile
71 Luxembourg 5,571 t 2013 down 31.5% rising
72 Bangladesh 5,286 t 2013 down 10.1% volatile
73 Slovakia 4,847 t 2013 up 1,342.6% volatile
74 Cyprus 4,594 t 2013 up 35,238.5% volatile
75 Lithuania 4,541 t 2013 down 81.2% volatile
76 Mongolia 4,135 t 2013 up 179.6% volatile
77 Lebanon 3,763 t 2013 up 333.0% volatile
78 Bulgaria 3,143 t 2013 up 3,973.6% volatile
79 Guatemala 2,837 t 2013 down 62.8% volatile
80 Australia 2,584 t 2013 down 95.6% volatile
81 Iceland 2,472 t 2013 up 49,340.0% volatile
82 Trinidad and Tobago 2,458 t 2013 down 76.9% volatile
83 Kazakhstan 2,255 t 2013 — volatile
84 Uganda 1,972 t 2013 up 24,550.0% volatile
85 Yugoslav SFR 1,818 t 1991 — volatile
86 Kyrgyzstan 1,700 t 2013 up 1,168.7% volatile
87 Benin 1,629 t 2013 up 30.3% volatile
88 Armenia 1,490 t 2013 up 11,361.5% volatile
89 Switzerland 1,445 t 2013 up 49.1% volatile
90 Saint Lucia 1,400 t 2013 up 1,455.6% volatile
91 Finland 1,391 t 2013 down 87.0% volatile
92 Panama 1,371 t 2013 up 68,450.0% volatile
93 Serbia and Montenegro 1,231 t 2005 — volatile
94 Zambia 1,059 t 2013 up 797.5% volatile
95 Czechoslovakia 1,000 t 1992 — volatile
96 Senegal 838 t 2013 down 98.4% volatile
97 Peru 835 t 2013 down 46.1% volatile
98 Azerbaijan 787 t 2013 up 182.1% volatile
99 Sri Lanka 651 t 2013 up 4,550.0% volatile
100 Rwanda 614 t 2013 up 473.8% volatile
101 Serbia 581.4 t 2013 up 139.9% volatile
102 Mozambique 472 t 2013 up 2,676.5% volatile
103 Malta 460 t 2013 up 10.6% volatile
104 Belarus 344 t 2013 down 98.3% volatile
104 Barbados 344 t 2013 up 4,814.3% volatile
106 Ghana 292 t 2013 down 85.3% volatile
107 Guinea 225 t 2013 up 476.9% volatile
107 C�te d'Ivoire 225 t 2013 up 5,525.0% volatile
109 North Macedonia 185 t 2013 down 86.8% volatile
109 New Caledonia 185 t 2013 up 428.6% volatile
111 Burkina Faso 128 t 2013 down 93.8% volatile
112 Ukraine 124 t 2013 down 79.1% volatile
113 Nicaragua 121 t 2013 up 3,933.3% volatile
114 Paraguay 118 t 2013 — volatile
115 Madagascar 111 t 2013 — volatile
116 French Polynesia 108 t 2013 down 81.5% volatile
117 Saint Kitts and Nevis 107 t 2013 up 494.4% volatile
118 Bahamas 103 t 2013 — volatile
119 Lesotho 87 t 2013 — volatile
120 Nigeria 72 t 2013 down 91.0% volatile
121 Brunei Darussalam 68 t 2013 down 93.8% volatile
122 Guyana 66 t 2013 — volatile
123 Mali 58 t 2013 up 2,800.0% volatile
124 Suriname 53 t 2013 — volatile
125 Eswatini 49 t 2013 down 98.1% volatile
126 Kuwait 48 t 2013 down 98.5% volatile
127 Cameroon 41 t 2013 down 92.8% volatile
128 Togo 36 t 2013 down 88.2% volatile
129 China, Macao SAR 30 t 2013 down 92.4% volatile
130 Central African Republic 29 t 2013 down 99.1% volatile
131 Mauritania 26 t 2013 down 99.9% volatile
132 Mauritius 24 t 2013 — volatile
132 Yemen 24 t 2013 down 96.8% volatile
134 Vanuatu 18 t 2013 — volatile
135 Algeria 11 t 2013 up 83.3% volatile
136 Maldives 4 t 2013 — volatile
137 Dominican Republic 3 t 2013 — volatile
137 Ethiopia 3 t 2013 — volatile
139 Grenada 2 t 2013 down 94.9% volatile
140 Sudan (former) 1 t 2011 — volatile
141 Antigua and Barbuda 0 t 2013 — volatile
141 Belize 0 t 2013 down 100.0% volatile
141 Bermuda 0 t 2013 — volatile
141 Congo 0 t 2013 — volatile
141 Cuba 0 t 2013 down 100.0% volatile
141 Djibouti 0 t 2013 — volatile
141 Dominica 0 t 2013 — volatile
141 Fiji 0 t 2013 — volatile
141 Gabon 0 t 2013 — volatile
141 Gambia 0 t 2013 — volatile
141 Haiti 0 t 2013 down 100.0% volatile
141 Kiribati 0 t 2013 — volatile
141 Malawi 0 t 2013 down 100.0% volatile
141 Pakistan 0 t 2013 down 100.0% volatile
141 Solomon Islands 0 t 2013 — volatile
141 Sierra Leone 0 t 2013 — volatile
141 Sao Tome and Principe 0 t 2013 down 100.0% volatile
141 Turkmenistan 0 t 2013 down 100.0% volatile
141 Samoa 0 t 2013 — volatile
141 Ethiopia PDR 0 t 1992 — 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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Brans — Import Quantity by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 27 September 2026, from https://agriculture.statizoid.com/stat/brans-import-quantity/

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About this data

Indicator
Brans — Import Quantity
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
204 places, 9,789 data points, 1961–2013
Last refreshed

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 caput 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.