Fruits - Excluding Wine β€” Losses in South-Eastern Asia

South-Eastern Asia: Fruits - Excluding Wine β€” Losses was 4,157 1000 t in 2023. β–¬ Flat

Latest (2023)
4,157 1000 t
Change on year
down 1.9%
Rank
8th
of 39 regions
All-time high
5,144 1000 t
in 2019
All-time low
4,157 1000 t
in 2023
Years of data
14
2010–2023

Fruits - Excluding Wine β€” Losses in South-Eastern Asia, 2010–2023

02.0k4.0k6.0k2010201620232010: 4.4k 1000 t2011: 4.5k 1000 t2012: 4.8k 1000 t2013: 4.7k 1000 t2014: 4.8k 1000 t2015: 5.0k 1000 t2016: 4.9k 1000 t2017: 5.1k 1000 t2018: 5.1k 1000 t2019: 5.1k 1000 t2020: 4.4k 1000 t2021: 4.6k 1000 t2022: 4.2k 1000 t2023: 4.2k 1000 t

Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.

Analysis

In 2023, fruits - excluding wine β€” losses in South-Eastern Asia stood at 4,157 1000 t. That is the lowest value across all 14 years on record.

The figure is down 1.9% on the previous year and down 10.6% over ten years.

Over the whole period, fruits - excluding wine β€” losses in South-Eastern Asia peaked at 5,144 1000 t in 2019 and was at its lowest, 4,157 1000 t, in 2023.

That places South-Eastern Asia 8th out of 39 regions with data for 2023, putting it in the top quarter.

Averages by decade

DecadeAverage LowestHighest Years
2010s 4,839 1000 t 4,378 1000 t 5,144 1000 t 10
2020s 4,347 1000 t 4,157 1000 t 4,597 1000 t 4

Countries ranked near South-Eastern Asia

  1. 5 Mexico 2,028 1000 t compare
  2. 6 Egypt 1,249 1000 t compare
  3. 7 Philippines 1,221 1000 t compare
  4. 8 Angola 1,096 1000 t compare
  5. 9 Thailand 949 1000 t compare
  6. 10 Colombia 939 1000 t compare
  7. 11 Peru 927 1000 t compare

See the full ranking of 212 places β†’

More agriculture & rural data for South-Eastern Asia

All data for South-Eastern Asia β†’

Frequently asked questions

What is fruits - excluding wine β€” losses in South-Eastern Asia?
Fruits - excluding wine β€” losses in South-Eastern Asia was 4,157 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest fruits - excluding wine β€” losses recorded in South-Eastern Asia?
The highest recorded value was 5,144 1000 t in 2019.
What is the lowest fruits - excluding wine β€” losses recorded in South-Eastern Asia?
The lowest recorded value was 4,157 1000 t in 2023.
How does South-Eastern Asia rank for fruits - excluding wine β€” losses?
South-Eastern Asia ranks 8th out of 39 regions with data for 2023.
Is fruits - excluding wine β€” losses rising or falling in South-Eastern Asia?
Over the last ten years it is down 10.6%. The long-run trend across the full record is flat.
Where does this South-Eastern Asia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Fruits - Excluding Wine β€” Losses. Statizoid updates them automatically from the source API.

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Fruits - Excluding Wine β€” Losses in South-Eastern Asia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 August 2026, from https://agriculture.statizoid.com/stat/fruits-excluding-wine-losses/south-eastern-asia/

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About this data

Indicator
Fruits - Excluding Wine β€” Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
212 places, 2,883 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.