Milk - Excluding Butter — Losses in Thailand
Thailand: Milk - Excluding Butter — Losses was 37 1000 t in 2023. ▲ Rising
Milk - Excluding Butter — Losses in Thailand, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for milk - excluding butter — losses in Thailand is 37 1000 t, measured in 2023. That is the highest value across all 14 years on record.
Compared with earlier readings it is up 5.7% on the previous year and up 15.6% over ten years.
Over the whole period, milk - excluding butter — losses in Thailand peaked at 37 1000 t in 2021 and was at its lowest, 26 1000 t, in 2010.
Thailand ranks 50th of 137 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 14 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 32.1 1000 t | 26 1000 t | 35 1000 t | 10 |
| 2020s | 36 1000 t | 35 1000 t | 37 1000 t | 4 |
Countries ranked near Thailand
- 47 China, Taiwan Province of 39 1000 t compare
- 48 Paraguay 38 1000 t compare
- 48 Germany 38 1000 t compare
- 51 Burkina Faso 36 1000 t compare
- 52 Russian Federation 34 1000 t compare
- 53 Cyprus 33 1000 t compare
More agriculture & rural data for Thailand
- Agriculture, forestry, and fishing, value added (current US$), annual 7.21 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0875 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 704.7 current US$ per person (2025)
- Rural population, annual growth rate -2.51 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.372 units per person (2025)
- Agriculture share gdp 8.75 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 8.75 (2025)
- Agricultural raw materials exports 4.0% (2024)
- Agricultural raw materials imports 1.3% (2024)
Frequently asked questions
- What is milk - excluding butter — losses in Thailand?
- Milk - excluding butter — losses in Thailand was 37 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest milk - excluding butter — losses recorded in Thailand?
- The highest recorded value was 37 1000 t in 2021.
- What is the lowest milk - excluding butter — losses recorded in Thailand?
- The lowest recorded value was 26 1000 t in 2010.
- How does Thailand rank for milk - excluding butter — losses?
- Thailand ranks 50th out of 137 countries with data for 2023.
- Is milk - excluding butter — losses rising or falling in Thailand?
- Over the last ten years it is up 15.6%. 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 Milk - Excluding Butter — Losses. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
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.