Stimulants — Losses 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
66
Highest
237 1000 t
Brazil
Lowest
0 1000 t
Cuba
Median
7 1000 t
Years covered
14
2010–2023
Data points
1,748

What the numbers show

Stimulants — Losses is currently reported for 66 countries. The highest value is 237 1000 t in Brazil; the lowest is 0 1000 t in Cuba.

The median across all reporting countries is 7 1000 t, and the mean is 27.02 1000 t.

Over the past decade 36 countries rose and 14 fell. The largest increase was in Guinea (up 1,000.0%), and the largest decrease in Paraguay (down 100.0%).

Stimulants — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 237 1000 t 2023 down 4.8% flat
2 China 199 1000 t 2023 up 80.9% rising
3 China, mainland 198 1000 t 2023 up 81.7% rising
4 Viet Nam 140 1000 t 2023 up 68.7% rising
4 Vietnam 140 1000 t 2023 up 68.7% rising
6 Indonesia 110 1000 t 2023 up 37.5% rising
7 Cote d'Ivoire 86 1000 t 2023 up 59.3% rising
7 Côte d'Ivoire 86 1000 t 2023 up 59.3% rising
9 Kenya 73 1000 t 2023 up 192.0% volatile
10 India 69 1000 t 2023 up 245.0% volatile
11 Uganda 41 1000 t 2023 up 156.2% rising
12 Spain 31 1000 t 2023 up 19.2% rising
13 Peru 26 1000 t 2023 up 73.3% rising
14 Ecuador 22 1000 t 2023 up 214.3% rising
15 Argentina 20 1000 t 2023 down 23.1% volatile
16 Bangladesh 19 1000 t 2023 up 375.0% volatile
17 Turkey 17 1000 t 2023 up 183.3% volatile
17 Türkiye 17 1000 t 2023 up 183.3% volatile
17 Cameroon 17 1000 t 2023 up 6.2% rising
17 Ethiopia 17 1000 t 2023 down 22.7% falling
21 Nigeria 16 1000 t 2023 down 11.1% falling
22 Sri Lanka 15 1000 t 2023 down 21.1% falling
23 Mexico 12 1000 t 2023 down 7.7% falling
24 Guinea 11 1000 t 2023 up 1,000.0% volatile
24 Lao People's Democratic Republic 11 1000 t 2023 up 120.0% rising
24 Malawi 11 1000 t 2023 up 266.7% volatile
24 Colombia 11 1000 t 2023 up 22.2% rising
24 Laos 11 1000 t 2023 up 120.0% rising
29 Nicaragua 8 1000 t 2023 up 60.0% rising
29 Honduras 8 1000 t 2023 down 46.7% falling
31 United Republic of Tanzania 7 1000 t 2023 up 16.7% rising
31 Papua New Guinea 7 1000 t 2023 up 40.0% rising
31 Melanesia 7 1000 t 2023 up 40.0% flat
31 Myanmar 7 1000 t 2023 up 16.7% rising
31 Thailand 7 1000 t 2023 up 16.7% rising
36 Caribbean 6 1000 t 2023 unchanged rising
36 Guatemala 6 1000 t 2023 up 20.0% rising
36 Rwanda 6 1000 t 2023 up 200.0% rising
39 United Arab Emirates 5 1000 t 2023 unchanged rising
39 Pakistan 5 1000 t 2023 up 150.0% rising
41 Dominican Republic 4 1000 t 2023 up 300.0% volatile
41 Democratic Republic of the Congo 4 1000 t 2023 up 100.0% rising
41 Madagascar 4 1000 t 2023 up 33.3% rising
41 Costa Rica 4 1000 t 2023 unchanged falling
41 Philippines 4 1000 t 2023 unchanged falling
41 Iran (Islamic Republic of) 4 1000 t 2023 down 20.0% falling
47 Nepal 3 1000 t 2023 up 200.0% volatile
48 Yemen 2 1000 t 2023 up 100.0% rising
48 Bolivia (Plurinational State of) 2 1000 t 2023 unchanged rising
50 El Salvador 1 1000 t 2023 unchanged falling
50 China, Taiwan Province of 1 1000 t 2023 unchanged flat
50 Venezuela (Bolivarian Republic of) 1 1000 t 2023 down 66.7% falling
50 Zambia 1 1000 t 2023 — volatile
50 Sierra Leone 1 1000 t 2023 down 66.7% falling
50 Panama 1 1000 t 2023 — volatile
50 Malaysia 1 1000 t 2023 unchanged falling
50 Liberia 1 1000 t 2023 — volatile
50 Congo 1 1000 t 2023 — volatile
50 Angola 1 1000 t 2023 unchanged flat
60 Timor-Leste 0 1000 t 2023 — volatile
60 Zimbabwe 0 1000 t 2023 — volatile
60 East Timor 0 1000 t 2023 — volatile
60 Paraguay 0 1000 t 2023 down 100.0% volatile
60 Mozambique 0 1000 t 2023 down 100.0% volatile
60 Haiti 0 1000 t 2023 down 100.0% volatile
60 Cuba 0 1000 t 2019 down 100.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

Share, cite or embed this page

Cite this page

Stimulants — Losses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 October 2026, from https://agriculture.statizoid.com/stat/stimulants-losses/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/stat/stimulants-losses/">Stimulants — Losses by country</a> — Statizoid

About this data

Indicator
Stimulants — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
130 places, 1,748 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.