Sugar Crops — Export quantity in Lithuania
Lithuania: Sugar Crops — Export quantity was 0 1000 t in 2023. ◆ Volatile
Sugar Crops — Export quantity in Lithuania, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Lithuania recorded 0 1000 t for sugar crops — export quantity in 2023. That is the lowest value across all 12 years on record.
That represents a change of down 100.0% over five years.
Over the whole period, sugar crops — export quantity in Lithuania peaked at 3 1000 t in 2018 and was at its lowest, 0 1000 t, in 2010.
That places Lithuania 36th out of 126 countries with data for 2023, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Sugar Crops — Export quantity in Lithuania, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | 0 1000 t | — |
| 2011 | 0 1000 t | — |
| 2012 | 0 1000 t | — |
| 2013 | 0 1000 t | — |
| 2014 | 2 1000 t | — |
| 2015 | 2 1000 t | +0.0% |
| 2016 | 1 1000 t | -50.0% |
| 2017 | 1 1000 t | +0.0% |
| 2018 | 3 1000 t | +200.0% |
| 2019 | 0 1000 t | -100.0% |
| 2022 | 0 1000 t | — |
| 2023 | 0 1000 t | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.9 1000 t | 0 1000 t | 3 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 2 |
Countries ranked near Lithuania
- 36 Afghanistan 0 1000 t
- 36 Albania 0 1000 t
- 36 Kuwait 0 1000 t
- 36 Samoa 0 1000 t
- 36 Azerbaijan 0 1000 t compare
- 36 Iran (Islamic Republic of) 0 1000 t
- 36 Paraguay 0 1000 t
- 36 Kyrgyzstan 0 1000 t compare
- 36 Israel 0 1000 t
- 36 Ireland 0 1000 t
- 36 Mauritius 0 1000 t
- 36 Croatia 0 1000 t compare
- 36 Barbados 0 1000 t
- 36 China, Hong Kong SAR 0 1000 t
- 36 Estonia 0 1000 t
- 36 Syrian Arab Republic 0 1000 t
- 36 Chile 0 1000 t
- 36 Guyana 0 1000 t
- 36 Saint Lucia 0 1000 t
- 36 Saudi Arabia 0 1000 t
- 36 El Salvador 0 1000 t
- 36 Belarus 0 1000 t
- 36 Luxembourg 0 1000 t
- 36 Haiti 0 1000 t
- 36 Serbia 0 1000 t compare
- 36 Malta 0 1000 t
- 36 Eswatini 0 1000 t
- 36 Bulgaria 0 1000 t
- 36 Tunisia 0 1000 t
- 36 Norway 0 1000 t
- 36 United Arab Emirates 0 1000 t
- 36 Oman 0 1000 t
- 36 Yemen 0 1000 t
- 36 Dominican Republic 0 1000 t
- 36 Cambodia 0 1000 t compare
- 36 Greece 0 1000 t
- 36 Nicaragua 0 1000 t
- 36 Bangladesh 0 1000 t
- 36 Ecuador 0 1000 t
- 36 Fiji 0 1000 t
- 36 Sweden 0 1000 t
- 36 Romania 0 1000 t
- 36 Polynesia 0 1000 t
- 36 Jamaica 0 1000 t
- 36 Philippines 0 1000 t
- 36 Austria 0 1000 t compare
- 36 Peru 0 1000 t
- 36 Italy 0 1000 t
- 36 Namibia 0 1000 t
- 36 Malawi 0 1000 t
- 36 Mexico 0 1000 t compare
- 36 Canada 0 1000 t compare
- 36 Switzerland 0 1000 t
- 36 Honduras 0 1000 t
- 36 Mozambique 0 1000 t
- 36 Niger 0 1000 t
- 36 Portugal 0 1000 t
- 36 Guatemala 0 1000 t
- 36 Cameroon 0 1000 t
- 36 Kazakhstan 0 1000 t compare
- 36 Republic of Korea 0 1000 t
- 36 Sri Lanka 0 1000 t
- 36 Thailand 0 1000 t compare
- 36 Zambia 0 1000 t
- 36 China, Taiwan Province of 0 1000 t
- 36 Botswana 0 1000 t
- 36 Democratic Republic of the Congo 0 1000 t
- 36 Australia 0 1000 t
- 36 Colombia 0 1000 t compare
- 36 Zimbabwe 0 1000 t
- 36 Indonesia 0 1000 t compare
- 36 Ghana 0 1000 t
- 36 Côte d'Ivoire 0 1000 t
- 36 Senegal 0 1000 t
- 36 Ethiopia 0 1000 t
- 36 Egypt 0 1000 t compare
- 36 Nepal 0 1000 t
- 36 Rwanda 0 1000 t
- 36 Nigeria 0 1000 t compare
- 36 Russian Federation 0 1000 t
- 36 Ukraine 0 1000 t
- 36 United Republic of Tanzania 0 1000 t
- 36 South Africa 0 1000 t compare
- 36 Australia and New Zealand 0 1000 t
- 36 Kenya 0 1000 t
- 36 Melanesia 0 1000 t
- 36 Caribbean 0 1000 t
- 36 Syria 0 1000 t
- 36 Cote d'Ivoire 0 1000 t
- 36 Russia 0 1000 t
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 — export quantity in Lithuania?
- Sugar crops — export quantity in Lithuania was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sugar crops — export quantity recorded in Lithuania?
- The highest recorded value was 3 1000 t in 2018.
- What is the lowest sugar crops — export quantity recorded in Lithuania?
- The lowest recorded value was 0 1000 t in 2010.
- How does Lithuania rank for sugar crops — export quantity?
- Lithuania ranks 36th out of 126 countries with data for 2023.
- 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 — Export quantity. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 12 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.