Sugar Crops — Losses in Lithuania
Lithuania: Sugar Crops — Losses was 63 1000 t in 2023. ▲ Rising
Sugar Crops — Losses in Lithuania, 2014–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Lithuania recorded 63 1000 t for sugar crops — losses in 2023. That is the highest value across all 10 years on record.
Compared with earlier readings it is up 40.0% on the previous year and up 14.5% over ten years.
Over the whole period, sugar crops — losses in Lithuania peaked at 63 1000 t in 2023 and was at its lowest, 33 1000 t, in 2015.
Lithuania ranks 64th of 152 countries on this measure, in the middle of the range.
Sugar Crops — Losses in Lithuania, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2014 | 55 1000 t | — |
| 2015 | 33 1000 t | -40.0% |
| 2016 | 50 1000 t | +51.5% |
| 2017 | 51 1000 t | +2.0% |
| 2018 | 48 1000 t | -5.9% |
| 2019 | 55 1000 t | +14.6% |
| 2020 | 52 1000 t | -5.5% |
| 2021 | 50 1000 t | -3.8% |
| 2022 | 45 1000 t | -10.0% |
| 2023 | 63 1000 t | +40.0% |
Lithuania compared with similar countries
- Lithuania's 63 1000 t is above the median for high income countries, which is 15 1000 t, 4.2× the median. (43 countries reporting)
- Lithuania's 63 1000 t is above the median for Europe & Central Asia, which is 14 1000 t, 4.5× the median. (41 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 48.67 1000 t | 33 1000 t | 55 1000 t | 6 |
| 2020s | 52.5 1000 t | 45 1000 t | 63 1000 t | 4 |
Countries ranked near Lithuania
More agriculture & rural data for Lithuania
- Agriculture, forestry, and fishing, value added (current US$), annual 4.69 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0227 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 748.66 current US$ per person (2025)
- Rural population, annual growth rate -0.7947 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3092 units per person (2025)
- Share of GDP from agriculture 2.3% (2025)
- Agriculture as a share of GDP vs. GDP per capita 2.3% (2025)
- Agricultural raw materials exports 2.4% (2025)
- Agricultural raw materials imports 1.7% (2025)
Frequently asked questions
- What is sugar crops — losses in Lithuania?
- Sugar crops — losses in Lithuania was 63 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sugar crops — losses recorded in Lithuania?
- The highest recorded value was 63 1000 t in 2023.
- What is the lowest sugar crops — losses recorded in Lithuania?
- The lowest recorded value was 33 1000 t in 2015.
- How does Lithuania rank for sugar crops — losses?
- Lithuania ranks 64th out of 152 countries with data for 2023.
- Is sugar crops — losses rising or falling in Lithuania?
- Over the last ten years it is up 14.5%. The long-run trend across the full record is rising.
- Where does this Lithuania data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sugar Crops — Losses. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 10 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.