Alcohol, Non-Food — Stock Variation in Lithuania
Lithuania: Alcohol, Non-Food — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Alcohol, Non-Food — Stock Variation in Lithuania, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, alcohol, non-food — stock variation in Lithuania stood at 0 1000 t.
Over the whole period, alcohol, non-food — stock variation in Lithuania peaked at 2 1000 t in 2016 and was at its lowest, -16 1000 t, in 2010.
Lithuania ranks 14th of 173 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Alcohol, Non-Food — Stock Variation in Lithuania, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | -16 1000 t | — |
| 2011 | 0 1000 t | -100.0% |
| 2012 | 0 1000 t | — |
| 2013 | 0 1000 t | — |
| 2014 | 0 1000 t | — |
| 2015 | 0 1000 t | — |
| 2016 | 2 1000 t | — |
| 2017 | 2 1000 t | +0.0% |
| 2018 | 0 1000 t | -100.0% |
| 2019 | 0 1000 t | — |
| 2020 | 0 1000 t | — |
| 2021 | 0 1000 t | — |
| 2022 | 0 1000 t | — |
| 2023 | 0 1000 t | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -1.2 1000 t | -16 1000 t | 2 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Lithuania
- 14 Qatar 0 1000 t compare
- 14 Bahrain 0 1000 t compare
- 14 Cuba 0 1000 t compare
- 14 Kiribati 0 1000 t
- 14 Comoros 0 1000 t
- 14 Djibouti 0 1000 t
- 14 Sao Tome and Principe 0 1000 t
- 14 Mauritania 0 1000 t
- 14 Micronesia 0 1000 t
- 14 Tajikistan 0 1000 t
- 14 China, Macao SAR 0 1000 t compare
- 14 Mongolia 0 1000 t
- 14 Saint Kitts and Nevis 0 1000 t
- 14 Gambia 0 1000 t
- 14 Solomon Islands 0 1000 t
- 14 Albania 0 1000 t
- 14 Libya 0 1000 t
- 14 Sierra Leone 0 1000 t compare
- 14 Suriname 0 1000 t
- 14 Kuwait 0 1000 t
- 14 Vanuatu 0 1000 t
- 14 Montenegro 0 1000 t
- 14 Lao People's Democratic Republic 0 1000 t
- 14 Armenia 0 1000 t compare
- 14 Cabo Verde 0 1000 t
- 14 Maldives 0 1000 t
- 14 Saint Vincent and the Grenadines 0 1000 t
- 14 Kyrgyzstan 0 1000 t compare
- 14 Gabon 0 1000 t
- 14 Iceland 0 1000 t
- 14 Haiti 0 1000 t
- 14 Samoa 0 1000 t
- 14 Oman 0 1000 t
- 14 Estonia 0 1000 t compare
- 14 Saudi Arabia 0 1000 t
- 14 Eswatini 0 1000 t compare
- 14 Seychelles 0 1000 t
- 14 Guinea 0 1000 t
- 14 French Polynesia 0 1000 t
- 14 Guyana 0 1000 t
- 14 Republic of Moldova 0 1000 t compare
- 14 Papua New Guinea 0 1000 t
- 14 Georgia 0 1000 t
- 14 Bosnia and Herzegovina 0 1000 t
- 14 Jordan 0 1000 t
- 14 Grenada 0 1000 t
- 14 Azerbaijan 0 1000 t
- 14 North Macedonia 0 1000 t
- 14 Congo 0 1000 t
- 14 Niger 0 1000 t
- 14 Finland 0 1000 t
- 14 Belarus 0 1000 t compare
- 14 Uruguay 0 1000 t
- 14 Bahamas 0 1000 t
- 14 Saint Lucia 0 1000 t
- 14 New Caledonia 0 1000 t
- 14 Namibia 0 1000 t
- 14 Algeria 0 1000 t
- 14 Latvia 0 1000 t
- 14 Luxembourg 0 1000 t
- 14 Burkina Faso 0 1000 t
- 14 Ukraine 0 1000 t compare
- 14 Chile 0 1000 t
- 14 Ireland 0 1000 t
- 14 Norway 0 1000 t
- 14 Antigua and Barbuda 0 1000 t
- 14 Croatia 0 1000 t compare
- 14 Serbia 0 1000 t
- 14 Czechia 0 1000 t compare
- 14 Tunisia 0 1000 t
- 14 Panama 0 1000 t compare
- 14 Myanmar 0 1000 t
- 14 Israel 0 1000 t
- 14 Nicaragua 0 1000 t compare
- 14 Slovenia 0 1000 t
- 14 Yemen 0 1000 t
- 14 Netherlands (Kingdom of the) 0 1000 t compare
- 14 Belgium 0 1000 t compare
- 14 Rwanda 0 1000 t
- 14 Switzerland 0 1000 t
- 14 Poland 0 1000 t compare
- 14 Denmark 0 1000 t
- 14 Romania 0 1000 t compare
- 14 Mauritius 0 1000 t compare
- 14 Iran (Islamic Republic of) 0 1000 t
- 14 El Salvador 0 1000 t compare
- 14 Belize 0 1000 t
- 14 United Arab Emirates 0 1000 t
- 14 Russian Federation 0 1000 t compare
- 14 United Kingdom of Great Britain and Northern Ireland 0 1000 t
- 14 Portugal 0 1000 t
- 14 Jamaica 0 1000 t
- 14 Zambia 0 1000 t
- 14 Mozambique 0 1000 t
- 14 New Zealand 0 1000 t compare
- 14 China, Hong Kong SAR 0 1000 t
- 14 Lebanon 0 1000 t
- 14 Canada 0 1000 t compare
- 14 Democratic Republic of the Congo 0 1000 t
- 14 Madagascar 0 1000 t
- 14 Austria 0 1000 t
- 14 Sweden 0 1000 t compare
- 14 Syrian Arab Republic 0 1000 t
- 14 Malta 0 1000 t
- 14 France 0 1000 t
- 14 Trinidad and Tobago 0 1000 t compare
- 14 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 14 Malaysia 0 1000 t
- 14 Kazakhstan 0 1000 t compare
- 14 Ghana 0 1000 t compare
- 14 Senegal 0 1000 t compare
- 14 China, Taiwan Province of 0 1000 t
- 14 Fiji 0 1000 t
- 14 Botswana 0 1000 t
- 14 Australia 0 1000 t compare
- 14 Morocco 0 1000 t compare
- 14 Greece 0 1000 t
- 14 Zimbabwe 0 1000 t compare
- 14 Ethiopia 0 1000 t compare
- 14 Germany 0 1000 t compare
- 14 Polynesia 0 1000 t
- 14 Bangladesh 0 1000 t
- 14 Côte d'Ivoire 0 1000 t
- 14 Cameroon 0 1000 t
- 14 Cyprus 0 1000 t
- 14 Italy 0 1000 t compare
- 14 Cambodia 0 1000 t
- 14 Pakistan 0 1000 t compare
- 14 Nigeria 0 1000 t compare
- 14 Republic of Korea 0 1000 t
- 14 Philippines 0 1000 t
- 14 Uganda 0 1000 t compare
- 14 Sri Lanka 0 1000 t
- 14 Honduras 0 1000 t
- 14 Peru 0 1000 t compare
- 14 India 0 1000 t
- 14 Brazil 0 1000 t compare
- 14 Mexico 0 1000 t compare
- 14 United Republic of Tanzania 0 1000 t
- 14 Colombia 0 1000 t
- 14 China, mainland 0 1000 t compare
- 14 Australia and New Zealand 0 1000 t compare
- 14 Guatemala 0 1000 t
- 14 Indonesia 0 1000 t compare
- 14 Nepal 0 1000 t
- 14 Melanesia 0 1000 t
- 14 China 0 1000 t compare
- 14 Laos 0 1000 t
- 14 Moldova 0 1000 t compare
- 14 Russia 0 1000 t compare
- 14 United Kingdom 0 1000 t
- 14 Syria 0 1000 t
- 14 Cote d'Ivoire 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 alcohol, non-food — stock variation in Lithuania?
- Alcohol, non-food — stock variation in Lithuania was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest alcohol, non-food — stock variation recorded in Lithuania?
- The highest recorded value was 2 1000 t in 2016.
- What is the lowest alcohol, non-food — stock variation recorded in Lithuania?
- The lowest recorded value was -16 1000 t in 2010.
- How does Lithuania rank for alcohol, non-food — stock variation?
- Lithuania ranks 14th out of 173 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 Alcohol, Non-Food — Stock Variation. 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.