Pineapples and products — 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
82
Highest
526 1000 t
Costa Rica
Lowest
0 1000 t
Sweden
Median
7 1000 t
Years covered
14
2010–2023
Data points
2,005

What the numbers show

Pineapples and products — Losses is currently reported for 82 countries. The highest value is 526 1000 t in Costa Rica; the lowest is 0 1000 t in Sweden.

The median across all reporting countries is 7 1000 t, and the mean is 41.95 1000 t.

Over the past decade 38 countries rose and 21 fell. The largest increase was in Panama (up 540.0%), and the largest decrease in Ethiopia (down 100.0%).

Pineapples and products — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 Costa Rica 526 1000 t 2023 up 7.3% rising
2 Brazil 477 1000 t 2023 down 4.0% flat
3 Philippines 247 1000 t 2023 up 19.9% rising
4 Colombia 221 1000 t 2023 up 38.1% rising
5 China 159 1000 t 2023 up 55.9% rising
6 India 156 1000 t 2023 up 18.2% rising
7 Nigeria 133 1000 t 2023 up 9.9% rising
8 China, mainland 127 1000 t 2023 up 92.4% rising
9 Mexico 107 1000 t 2023 up 64.6% rising
10 Thailand 105 1000 t 2023 down 39.3% falling
11 Peru 87 1000 t 2023 up 31.8% rising
12 Guatemala 78 1000 t 2023 up 59.2% rising
13 United States 72 1000 t 2023 up 26.3% rising
14 Venezuela (Bolivarian Republic of) 69 1000 t 2023 up 1.5% rising
15 Vietnam 65 1000 t 2023 up 32.7% rising
15 Viet Nam 65 1000 t 2023 up 32.7% rising
17 Angola 61 1000 t 2023 up 52.5% rising
18 Ghana 58 1000 t 2023 up 9.4% rising
19 Caribbean 52 1000 t 2023 up 4.0% rising
20 Dominican Republic 45 1000 t 2023 up 9.8% rising
21 Ecuador 41 1000 t 2023 up 272.7% volatile
22 United Republic of Tanzania 37 1000 t 2023 up 23.3% rising
23 Panama 32 1000 t 2023 up 540.0% volatile
24 Malawi 31 1000 t 2023 — volatile
24 Malaysia 31 1000 t 2023 up 55.0% rising
24 China, Taiwan Province of 31 1000 t 2023 down 11.4% falling
27 Cameroon 27 1000 t 2023 up 92.9% rising
28 France 21 1000 t 2023 up 31.2% rising
29 Indonesia 19 1000 t 2023 down 88.0% volatile
30 Spain 18 1000 t 2023 up 63.6% rising
31 Bangladesh 16 1000 t 2023 unchanged flat
31 Democratic Republic of the Congo 16 1000 t 2023 down 5.9% falling
33 Nicaragua 14 1000 t 2023 up 16.7% rising
34 Germany 13 1000 t 2023 down 13.3% falling
35 Netherlands (Kingdom of the) 12 1000 t 2023 down 20.0% flat
36 South Africa 11 1000 t 2023 up 37.5% rising
37 Kenya 9 1000 t 2023 down 18.2% rising
38 Belgium 7 1000 t 2023 down 12.5% falling
38 Italy 7 1000 t 2023 unchanged flat
38 Sri Lanka 7 1000 t 2023 down 12.5% falling
38 Madagascar 7 1000 t 2023 unchanged rising
38 Bolivia (Plurinational State of) 7 1000 t 2023 up 75.0% rising
43 Australia 6 1000 t 2023 unchanged falling
43 Canada 6 1000 t 2023 unchanged rising
43 United Kingdom 6 1000 t 2023 down 14.3% falling
43 Guinea 6 1000 t 2023 down 45.5% falling
43 Honduras 6 1000 t 2023 down 45.5% falling
43 Laos 6 1000 t 2023 up 100.0% rising
43 Paraguay 6 1000 t 2023 up 20.0% rising
43 Australia and New Zealand 6 1000 t 2023 unchanged falling
43 Lao People's Democratic Republic 6 1000 t 2023 up 100.0% rising
43 United Kingdom of Great Britain and Northern Ireland 6 1000 t 2023 down 14.3% falling
53 Mozambique 5 1000 t 2023 up 25.0% rising
54 Jamaica 4 1000 t 2023 up 100.0% rising
54 Papua New Guinea 4 1000 t 2023 up 33.3% rising
54 Eswatini 4 1000 t 2023 up 33.3% rising
54 Melanesia 4 1000 t 2023 unchanged rising
58 Cote d'Ivoire 3 1000 t 2023 down 50.0% falling
58 Cuba 3 1000 t 2019 down 50.0% falling
58 Guyana 3 1000 t 2023 up 200.0% volatile
58 Saudi Arabia 3 1000 t 2023 up 50.0% rising
58 El Salvador 3 1000 t 2023 up 200.0% rising
58 Côte d'Ivoire 3 1000 t 2023 down 50.0% falling
64 Cambodia 2 1000 t 2023 unchanged flat
64 Rwanda 2 1000 t 2023 down 33.3% falling
66 Argentina 1 1000 t 2023 unchanged rising
66 Austria 1 1000 t 2023 unchanged falling
66 Belize 1 1000 t 2023 — volatile
66 Switzerland 1 1000 t 2023 unchanged flat
66 Chile 1 1000 t 2023 unchanged rising
66 Fiji 1 1000 t 2023 — volatile
66 Haiti 1 1000 t 2023 unchanged rising
66 Ireland 1 1000 t 2023 — volatile
66 Liberia 1 1000 t 2023 unchanged flat
66 Nepal 1 1000 t 2023 unchanged flat
66 Poland 1 1000 t 2023 — volatile
66 Polynesia 1 1000 t 2023 unchanged flat
66 China, Hong Kong SAR 1 1000 t 2023 down 50.0% falling
79 Czechia 0 1000 t 2023 — falling
79 Ethiopia 0 1000 t 2023 down 100.0% volatile
79 New Zealand 0 1000 t 2023 — volatile
79 Sweden 0 1000 t 2023 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

Pineapples and products — Losses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 October 2026, from https://agriculture.statizoid.com/stat/pineapples-and-products-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/pineapples-and-products-losses/">Pineapples and products — Losses by country</a> — Statizoid

About this data

Indicator
Pineapples and products — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
146 places, 2,005 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.