Stimulants — Production 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
82
Highest
16,122 1000 t
China
Lowest
0 1000 t
Russian Federation
Median
94.5 1000 t
Years covered
14
2010–2023
Data points
1,718

What the numbers show

Stimulants — Production is currently reported for 82 countries. The highest value is 16,122 1000 t in China; the lowest is 0 1000 t in Russian Federation.

The median across all reporting countries is 94.5 1000 t, and the mean is 894.18 1000 t.

Over the past decade 49 countries rose and 19 fell. The largest increase was in Zimbabwe (up 857.1%), and the largest decrease in Grenada (down 100.0%).

Stimulants — Production: full country ranking

#Country LatestYear 10-year changeTrend
1 China 16,122 1000 t 2023 up 82.5% rising
2 China, mainland 16,108 1000 t 2023 up 82.7% rising
3 India 6,396 1000 t 2023 up 315.3% volatile
4 Brazil 4,440 1000 t 2023 up 18.8% rising
5 Vietnam 3,083 1000 t 2023 up 99.7% rising
5 Viet Nam 3,083 1000 t 2023 up 99.7% rising
7 Kenya 2,626 1000 t 2023 up 456.4% volatile
8 Cote d'Ivoire 2,469 1000 t 2023 up 59.0% rising
8 Côte d'Ivoire 2,469 1000 t 2023 up 59.0% rising
10 Indonesia 2,049 1000 t 2023 up 32.8% rising
11 Sri Lanka 1,440 1000 t 2023 down 20.7% falling
12 Turkey 1,357 1000 t 2023 up 540.1% volatile
12 Türkiye 1,357 1000 t 2023 up 540.1% volatile
14 Argentina 1,351 1000 t 2023 up 319.6% volatile
15 Uganda 809 1000 t 2023 up 166.1% rising
16 Colombia 741 1000 t 2023 up 5.9% rising
17 Ghana 654 1000 t 2023 down 21.8% rising
18 Ethiopia 596 1000 t 2023 up 48.3% rising
19 Peru 538 1000 t 2023 up 62.0% rising
20 Bangladesh 426 1000 t 2023 up 545.5% volatile
21 Ecuador 392 1000 t 2023 up 184.1% rising
22 Honduras 386 1000 t 2023 up 36.9% rising
23 Nigeria 352 1000 t 2023 down 4.6% falling
24 Cameroon 338 1000 t 2023 up 5.0% rising
25 Malawi 257 1000 t 2023 up 394.2% volatile
26 Guatemala 238 1000 t 2023 down 9.2% falling
27 Mexico 224 1000 t 2023 down 15.5% falling
28 Guinea 223 1000 t 2023 up 792.0% volatile
29 Laos 201 1000 t 2023 up 105.1% rising
29 Lao People's Democratic Republic 201 1000 t 2023 up 105.1% rising
31 United Republic of Tanzania 195 1000 t 2023 up 75.7% rising
32 Rwanda 192 1000 t 2023 up 368.3% volatile
33 Paraguay 160 1000 t 2023 up 86.0% rising
34 Nicaragua 153 1000 t 2023 up 73.9% rising
35 Melanesia 140 1000 t 2023 up 34.6% flat
36 Papua New Guinea 134 1000 t 2023 up 38.1% flat
37 Nepal 130 1000 t 2023 up 519.0% volatile
38 Myanmar 127 1000 t 2023 up 22.1% rising
39 Thailand 123 1000 t 2023 up 16.0% rising
40 Caribbean 116 1000 t 2023 down 35.2% falling
41 Democratic Republic of the Congo 100 1000 t 2023 up 185.7% rising
42 Dominican Republic 89 1000 t 2023 up 2.3% rising
43 Venezuela (Bolivarian Republic of) 88 1000 t 2023 down 4.3% falling
44 Iran (Islamic Republic of) 82 1000 t 2023 down 15.5% falling
45 Costa Rica 80 1000 t 2023 up 11.1% falling
46 Madagascar 70 1000 t 2023 up 14.8% flat
47 Zimbabwe 67 1000 t 2023 up 857.1% volatile
48 Philippines 41 1000 t 2023 down 51.2% falling
49 El Salvador 33 1000 t 2023 down 2.9% falling
50 Bolivia (Plurinational State of) 31 1000 t 2023 down 18.4% falling
51 Yemen 30 1000 t 2023 up 50.0% rising
52 Malaysia 22 1000 t 2023 down 26.7% falling
53 Angola 21 1000 t 2023 up 61.5% rising
53 Liberia 21 1000 t 2023 up 133.3% rising
55 Sierra Leone 19 1000 t 2023 down 62.7% falling
56 China, Taiwan Province of 14 1000 t 2023 down 6.7% falling
57 Congo 13 1000 t 2023 up 62.5% rising
57 Panama 13 1000 t 2023 up 62.5% flat
59 Cuba 10 1000 t 2019 unchanged falling
59 Zambia 10 1000 t 2023 up 42.9% rising
61 East Timor 9 1000 t 2023 up 125.0% rising
61 Timor-Leste 9 1000 t 2023 up 125.0% rising
63 Haiti 8 1000 t 2023 down 88.7% volatile
63 Jamaica 8 1000 t 2023 unchanged falling
63 Mozambique 8 1000 t 2023 down 69.2% falling
66 Mauritius 7 1000 t 2023 up 250.0% volatile
67 Solomon Islands 4 1000 t 2023 down 20.0% falling
67 Sao Tome and Principe 4 1000 t 2023 up 33.3% rising
69 United States 3 1000 t 2023 unchanged falling
70 Georgia 2 1000 t 2023 down 33.3% falling
70 Vanuatu 2 1000 t 2023 unchanged rising
70 South Africa 2 1000 t 2023 unchanged rising
70 Republic of Korea 2 1000 t 2023 unchanged flat
74 Azerbaijan 1 1000 t 2023 unchanged rising
74 Guyana 1 1000 t 2023 unchanged flat
74 Saudi Arabia 1 1000 t 2023 — volatile
74 Trinidad and Tobago 1 1000 t 2023 — volatile
74 Polynesia 1 1000 t 2023 — volatile
79 Gabon 0 1000 t 2023 — volatile
79 Grenada 0 1000 t 2023 down 100.0% falling
79 Russia 0 1000 t 2023 — volatile
79 Russian Federation 0 1000 t 2023 — 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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Stimulants — Production by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 October 2026, from https://agriculture.statizoid.com/stat/stimulants-production/

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About this data

Indicator
Stimulants — Production
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
126 places, 1,718 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.