Stimulants — Export 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
176
Highest
2,535 1000 t
Brazil
Lowest
0 1000 t
Democratic People's Republic of Korea
Median
11 1000 t
Years covered
14
2010–2023
Data points
2,798

What the numbers show

Stimulants — Export quantity is currently reported for 176 countries. The highest value is 2,535 1000 t in Brazil; the lowest is 0 1000 t in Democratic People's Republic of Korea.

The median across all reporting countries is 11 1000 t, and the mean is 154.86 1000 t.

Over the past decade 83 countries rose and 41 fell. The largest increase was in Congo (up 1,100.0%), and the largest decrease in Albania (down 100.0%).

Stimulants — Export quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 2,535 1000 t 2023 up 21.7% rising
2 Germany 1,787 1000 t 2023 up 13.9% rising
3 Netherlands (Kingdom of the) 1,785 1000 t 2023 up 38.5% rising
4 Côte d'Ivoire 1,776 1000 t 2023 up 57.6% rising
5 Viet Nam 1,575 1000 t 2023 up 9.1% rising
6 Indonesia 1,346 1000 t 2023 up 12.0% rising
7 Belgium 906 1000 t 2023 up 40.9% rising
8 Malaysia 874 1000 t 2023 up 39.8% rising
9 India 730 1000 t 2023 up 11.1% rising
10 Ghana 715 1000 t 2023 up 33.1% rising
11 Colombia 674 1000 t 2023 up 10.3% rising
12 Italy 653 1000 t 2023 up 70.5% rising
13 Kenya 614 1000 t 2023 up 22.6% rising
14 United Arab Emirates 576 1000 t 2023 up 562.1% volatile
15 China 559 1000 t 2023 down 5.1% flat
16 Spain 543 1000 t 2023 up 78.0% rising
17 Poland 510 1000 t 2023 up 50.4% rising
18 Uganda 494 1000 t 2023 up 54.9% rising
19 China, mainland 485 1000 t 2023 down 7.6% flat
20 France 484 1000 t 2023 up 15.2% rising
21 Ecuador 472 1000 t 2023 up 62.2% rising
22 United Kingdom of Great Britain and Northern Ireland 404 1000 t 2023 down 10.8% flat
23 Canada 376 1000 t 2023 up 27.0% rising
24 Cameroon 365 1000 t 2023 up 51.5% rising
25 Nigeria 360 1000 t 2023 up 22.9% rising
26 Honduras 335 1000 t 2023 up 31.4% rising
27 Türkiye 328 1000 t 2023 up 78.3% rising
28 Russian Federation 317 1000 t 2023 up 21.0% rising
29 Peru 310 1000 t 2023 up 11.1% rising
30 Switzerland 261 1000 t 2023 up 41.1% rising
31 Mexico 246 1000 t 2023 down 9.2% falling
32 Sri Lanka 242 1000 t 2023 down 24.4% falling
33 Ethiopia 237 1000 t 2023 up 16.2% rising
34 Guatemala 188 1000 t 2023 down 14.9% falling
35 Nicaragua 150 1000 t 2023 up 47.1% rising
36 Austria 142 1000 t 2023 up 22.4% rising
37 Czechia 133 1000 t 2023 up 46.2% rising
38 United Republic of Tanzania 120 1000 t 2023 up 21.2% rising
39 Argentina 106 1000 t 2023 down 16.5% falling
40 Hungary 105 1000 t 2023 up 14.1% rising
41 Thailand 104 1000 t 2023 down 48.5% falling
42 Melanesia 98 1000 t 2023 up 1.0% falling
43 Sweden 96 1000 t 2023 up 1.1% rising
44 Papua New Guinea 93 1000 t 2023 up 2.2% falling
45 Lithuania 88 1000 t 2023 up 69.2% rising
46 Bulgaria 85 1000 t 2023 up 165.6% rising
47 Ukraine 84 1000 t 2023 down 42.1% volatile
47 Australia and New Zealand 84 1000 t 2023 up 40.0% rising
49 Caribbean 82 1000 t 2023 up 24.2% rising
50 Guinea 81 1000 t 2023 up 575.0% volatile
51 Slovakia 73 1000 t 2023 up 19.7% rising
52 Australia 72 1000 t 2023 up 75.6% rising
52 Dominican Republic 72 1000 t 2023 up 26.3% rising
54 Egypt 71 1000 t 2023 up 54.3% volatile
55 Republic of Korea 66 1000 t 2023 down 39.4% rising
56 Costa Rica 63 1000 t 2023 down 25.9% falling
57 Serbia 58 1000 t 2023 up 346.2% rising
58 Denmark 50 1000 t 2023 up 100.0% rising
58 China, Hong Kong SAR 50 1000 t 2023 up 92.3% volatile
60 Democratic Republic of the Congo 48 1000 t 2023 up 860.0% volatile
61 Kazakhstan 47 1000 t 2023 up 193.8% rising
62 Malawi 46 1000 t 2023 up 4.5% flat
62 Portugal 46 1000 t 2023 up 119.0% rising
64 Croatia 44 1000 t 2023 up 131.6% volatile
65 Ireland 42 1000 t 2023 up 31.2% rising
66 Lao People's Democratic Republic 35 1000 t 2023 up 12.9% rising
67 Rwanda 33 1000 t 2023 down 15.4% rising
68 Estonia 32 1000 t 2023 up 540.0% volatile
69 El Salvador 31 1000 t 2023 down 54.4% falling
69 Slovenia 31 1000 t 2023 up 14.8% rising
71 Romania 30 1000 t 2023 down 28.6% falling
72 Jordan 29 1000 t 2023 up 107.1% rising
73 Latvia 28 1000 t 2023 up 75.0% rising
74 China, Taiwan Province of 24 1000 t 2023 down 36.8% falling
75 Liberia 23 1000 t 2023 up 228.6% volatile
75 Saudi Arabia 23 1000 t 2023 up 283.3% volatile
77 Finland 20 1000 t 2023 up 5.3% rising
77 Sierra Leone 20 1000 t 2023 up 66.7% rising
77 Uruguay 20 1000 t 2023 up 400.0% volatile
80 Greece 19 1000 t 2023 down 42.4% rising
81 Lebanon 16 1000 t 2023 up 128.6% rising
82 Iran (Islamic Republic of) 15 1000 t 2023 down 28.6% volatile
83 Nepal 14 1000 t 2023 up 27.3% rising
84 Congo 12 1000 t 2023 up 1,100.0% volatile
84 Madagascar 12 1000 t 2023 down 36.8% rising
84 New Zealand 12 1000 t 2023 down 40.0% falling
84 Zambia 12 1000 t 2023 up 1,100.0% volatile
88 Oman 11 1000 t 2023 up 266.7% volatile
88 Zimbabwe 11 1000 t 2023 down 8.3% rising
90 Myanmar 10 1000 t 2023 up 400.0% volatile
90 Philippines 10 1000 t 2023 up 66.7% rising
92 Armenia 9 1000 t 2023 up 350.0% volatile
92 Luxembourg 9 1000 t 2023 unchanged rising
94 Chile 8 1000 t 2023 down 63.6% falling
94 Norway 8 1000 t 2023 up 60.0% rising
94 Paraguay 8 1000 t 2023 volatile
97 Burkina Faso 7 1000 t 2023 up 600.0% volatile
97 Morocco 7 1000 t 2023 down 22.2% rising
99 Georgia 6 1000 t 2023 up 100.0% volatile
99 Israel 6 1000 t 2023 down 33.3% falling
99 Timor-Leste 6 1000 t 2023 up 100.0% rising
99 Venezuela (Bolivarian Republic of) 6 1000 t 2023 up 100.0% rising
103 Cambodia 4 1000 t 2023 volatile
103 Kuwait 4 1000 t 2023 up 100.0% volatile
103 Pakistan 4 1000 t 2023 up 33.3% volatile
103 Solomon Islands 4 1000 t 2023 unchanged falling
103 Sao Tome and Principe 4 1000 t 2023 up 33.3% rising
103 Trinidad and Tobago 4 1000 t 2023 up 100.0% rising
103 Uzbekistan 4 1000 t 2023 volatile
103 Yemen 4 1000 t 2023 down 42.9% falling
111 Azerbaijan 3 1000 t 2023 down 70.0% volatile
111 Bahrain 3 1000 t 2023 volatile
111 Bosnia and Herzegovina 3 1000 t 2023 down 25.0% rising
111 Belarus 3 1000 t 2023 down 75.0% volatile
111 Haiti 3 1000 t 2023 down 25.0% falling
111 North Macedonia 3 1000 t 2023 unchanged falling
111 Mozambique 3 1000 t 2023 unchanged rising
111 Panama 3 1000 t 2023 unchanged rising
111 Republic of Moldova 3 1000 t 2023 up 200.0% rising
111 Syrian Arab Republic 3 1000 t 2023 up 50.0% rising
121 Gambia 2 1000 t 2023 volatile
121 Jamaica 2 1000 t 2023 unchanged falling
121 Senegal 2 1000 t 2023 down 33.3% rising
121 Bolivia (Plurinational State of) 2 1000 t 2023 down 50.0% falling
125 Angola 1 1000 t 2023 volatile
125 Bangladesh 1 1000 t 2023 volatile
125 Cuba 1 1000 t 2019 unchanged rising
125 Djibouti 1 1000 t 2023 volatile
125 Montenegro 1 1000 t 2023 volatile
125 Mauritania 1 1000 t 2022 volatile
125 Niger 1 1000 t 2023 down 50.0% volatile
125 Turkmenistan 1 1000 t 2023 volatile
125 Tunisia 1 1000 t 2023 down 87.5% volatile
125 Vanuatu 1 1000 t 2023 down 50.0% falling
125 China, Macao SAR 1 1000 t 2023 unchanged volatile
136 Afghanistan 0 1000 t 2023 volatile
136 Albania 0 1000 t 2023 down 100.0% volatile
136 Antigua and Barbuda 0 1000 t 2023 flat
136 Bahamas 0 1000 t 2023 flat
136 Belize 0 1000 t 2023 volatile
136 Barbados 0 1000 t 2023 flat
136 Bhutan 0 1000 t 2023 flat
136 Botswana 0 1000 t 2023 flat
136 Comoros 0 1000 t 2023 flat
136 Cyprus 0 1000 t 2023 down 100.0% volatile
136 Algeria 0 1000 t 2023 volatile
136 Fiji 0 1000 t 2023 volatile
136 Gabon 0 1000 t 2023 volatile
136 Guinea-Bissau 0 1000 t 2022 flat
136 Grenada 0 1000 t 2023 volatile
136 Guyana 0 1000 t 2023 down 100.0% volatile
136 Iraq 0 1000 t 2023 flat
136 Iceland 0 1000 t 2023 flat
136 Kyrgyzstan 0 1000 t 2023 down 100.0% volatile
136 Saint Kitts and Nevis 0 1000 t 2023 volatile
136 Libya 0 1000 t 2023 flat
136 Saint Lucia 0 1000 t 2023 flat
136 Lesotho 0 1000 t 2023 volatile
136 Malta 0 1000 t 2023 down 100.0% volatile
136 Mongolia 0 1000 t 2023 down 100.0% volatile
136 Mauritius 0 1000 t 2023 flat
136 Namibia 0 1000 t 2023 down 100.0% volatile
136 New Caledonia 0 1000 t 2023 flat
136 Nauru 0 1000 t 2023 flat
136 French Polynesia 0 1000 t 2023 flat
136 Qatar 0 1000 t 2023 flat
136 Suriname 0 1000 t 2023 volatile
136 Eswatini 0 1000 t 2023 down 100.0% volatile
136 Seychelles 0 1000 t 2019 flat
136 Tajikistan 0 1000 t 2023 flat
136 Saint Vincent and the Grenadines 0 1000 t 2023 flat
136 Samoa 0 1000 t 2023 flat
136 Micronesia 0 1000 t 2023 flat
136 Cabo Verde 0 1000 t 2023 flat
136 Polynesia 0 1000 t 2023 flat
136 Democratic People's Republic of Korea 0 1000 t 2018 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
Stimulants — Export quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
207 places, 2,798 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.