Oilcrops — Losses in Thailand

Thailand: Oilcrops — Losses was 509 1000 t in 2023. ▲ Rising

Latest (2023)
509 1000 t
Change on year
up 1.4%
World rank
13th
of 177 countries
All-time high
514 1000 t
in 2021
All-time low
338 1000 t
in 2010
Years of data
14
2010–2023

Oilcrops — Losses in Thailand, 2010–2023

02004006002010201620232010: 338 1000 t2011: 359 1000 t2012: 368 1000 t2013: 356 1000 t2014: 370 1000 t2015: 375 1000 t2016: 401 1000 t2017: 419 1000 t2018: 439 1000 t2019: 476 1000 t2020: 511 1000 t2021: 514 1000 t2022: 502 1000 t2023: 509 1000 t

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

Analysis

The most recent figure for oilcrops — losses in Thailand is 509 1000 t, measured in 2023.

That represents a change of up 1.4% on the previous year and up 43.0% over ten years.

Over the whole period, oilcrops — losses in Thailand peaked at 514 1000 t in 2021 and was at its lowest, 338 1000 t, in 2010.

Thailand ranks 13th of 177 countries on this measure, in the top 10%.

The long-run direction has been consistently rising across the 14 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2010s 390.1 1000 t 338 1000 t 476 1000 t 10
2020s 509 1000 t 502 1000 t 514 1000 t 4

Countries ranked near Thailand

  1. 10 Nigeria 723 1000 t compare
  2. 11 Canada 648 1000 t compare
  3. 12 Paraguay 580 1000 t compare
  4. 14 Argentina 481 1000 t compare
  5. 15 Spain 436 1000 t compare
  6. 16 Türkiye 344 1000 t compare

See the full ranking of 208 places →

More agriculture & rural data for Thailand

All data for Thailand →

Frequently asked questions

What is oilcrops — losses in Thailand?
Oilcrops — losses in Thailand was 509 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest oilcrops — losses recorded in Thailand?
The highest recorded value was 514 1000 t in 2021.
What is the lowest oilcrops — losses recorded in Thailand?
The lowest recorded value was 338 1000 t in 2010.
How does Thailand rank for oilcrops — losses?
Thailand ranks 13th out of 177 countries with data for 2023.
Is oilcrops — losses rising or falling in Thailand?
Over the last ten years it is up 43.0%. The long-run trend across the full record is rising.
Where does this Thailand data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Oilcrops — Losses. Statizoid updates them automatically from the source API.

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CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

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Oilcrops — Losses in Thailand. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 August 2026, from https://agriculture.statizoid.com/stat/oilcrops-losses-2/thailand/

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About this data

Indicator
Oilcrops — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
208 places, 2,819 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.