What is mutton & goat meat — stock variation in Lithuania?

Mutton & goat meat — stock variation in Lithuania was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.

What is the highest mutton & goat meat — stock variation recorded in Lithuania?

The highest recorded value was 1 1000 t in 2016.

What is the lowest mutton & goat meat — stock variation recorded in Lithuania?

The lowest recorded value was 0 1000 t in 2014.

How does Lithuania rank for mutton & goat meat — stock variation?

Lithuania ranks 19th out of 194 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 Mutton & Goat Meat — Stock Variation. Statizoid updates them automatically from the source API.

Mutton & Goat Meat — Stock Variation in Lithuania

Name: Mutton & Goat Meat — Stock Variation in Lithuania
Creator: Food and Agriculture Organization of the United Nations
License: CC BY-NC-SA 3.0 IGO (FAO)

Lithuania: Mutton & Goat Meat — Stock Variation was 0 1000 t in 2023. ◆ Volatile

Latest (2023)

0 1000 t

World rank

19th

of 194 countries

All-time high

1 1000 t

in 2016

All-time low

0 1000 t

in 2014

Years of data

2014–2023

Mutton & Goat Meat — Stock Variation in Lithuania, 2014–2023

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

Analysis

In 2023, mutton & goat meat — stock variation in Lithuania stood at 0 1000 t. That is the lowest value across all 10 years on record.

Over the whole period, mutton & goat meat — stock variation in Lithuania peaked at 1 1000 t in 2016 and was at its lowest, 0 1000 t, in 2014.

That places Lithuania 19th out of 194 countries with data for 2023, putting it in the top 10%.

The series is highly variable year to year, so single readings are best treated with caution.

Mutton & Goat Meat — Stock Variation in Lithuania, year by year

Annual values for Mutton & Goat Meat — Stock Variation in Lithuania, 2014 to 2023.
Year	1000 t	Change
2014	0 1000 t	—
2015	0 1000 t	—
2016	1 1000 t	—
2017	1 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	0.3333 1000 t	0 1000 t	1 1000 t	6
2020s	0 1000 t	0 1000 t	0 1000 t	4

Countries ranked near Lithuania

19 Micronesia (Federated States of) 0 1000 t
19 Tuvalu 0 1000 t
19 Nauru 0 1000 t
19 Tonga 0 1000 t
19 Marshall Islands 0 1000 t
19 Bhutan 0 1000 t
19 Qatar 0 1000 t compare
19 Bahrain 0 1000 t
19 Democratic People's Republic of Korea 0 1000 t compare
19 Cuba 0 1000 t
19 Turkmenistan 0 1000 t compare
19 Timor-Leste 0 1000 t
19 Kiribati 0 1000 t
19 Lesotho 0 1000 t compare
19 Guinea-Bissau 0 1000 t
19 Comoros 0 1000 t
19 Djibouti 0 1000 t
19 Sao Tome and Principe 0 1000 t
19 Liberia 0 1000 t
19 Mauritania 0 1000 t compare
19 Micronesia 0 1000 t
19 Tajikistan 0 1000 t compare
19 Afghanistan 0 1000 t compare
19 China, Macao SAR 0 1000 t
19 Saint Kitts and Nevis 0 1000 t
19 Gambia 0 1000 t
19 Solomon Islands 0 1000 t
19 Libya 0 1000 t compare
19 Albania 0 1000 t
19 Sierra Leone 0 1000 t compare
19 Suriname 0 1000 t
19 Vanuatu 0 1000 t
19 Montenegro 0 1000 t compare
19 Lao People's Democratic Republic 0 1000 t
19 Maldives 0 1000 t
19 Armenia 0 1000 t
19 Cabo Verde 0 1000 t
19 Uzbekistan 0 1000 t compare
19 Saint Vincent and the Grenadines 0 1000 t
19 Gabon 0 1000 t
19 Iceland 0 1000 t compare
19 Haiti 0 1000 t compare
19 Samoa 0 1000 t
19 Oman 0 1000 t compare
19 Guinea 0 1000 t compare
19 Saudi Arabia 0 1000 t compare
19 Eswatini 0 1000 t
19 Seychelles 0 1000 t
19 Estonia 0 1000 t
19 French Polynesia 0 1000 t
19 Iraq 0 1000 t compare
19 Guyana 0 1000 t
19 Papua New Guinea 0 1000 t compare
19 Republic of Moldova 0 1000 t
19 Angola 0 1000 t
19 Bosnia and Herzegovina 0 1000 t
19 Jordan 0 1000 t
19 Grenada 0 1000 t
19 North Macedonia 0 1000 t
19 Azerbaijan 0 1000 t compare
19 Congo 0 1000 t
19 Georgia 0 1000 t compare
19 Niger 0 1000 t compare
19 Finland 0 1000 t compare
19 Paraguay 0 1000 t
19 Uruguay 0 1000 t compare
19 Belarus 0 1000 t
19 Bahamas 0 1000 t
19 New Caledonia 0 1000 t
19 Algeria 0 1000 t compare
19 Namibia 0 1000 t compare
19 Saint Lucia 0 1000 t
19 Burkina Faso 0 1000 t compare
19 Luxembourg 0 1000 t
19 Slovakia 0 1000 t
19 Latvia 0 1000 t
19 Chile 0 1000 t compare
19 Viet Nam 0 1000 t
19 Ukraine 0 1000 t compare
19 Ireland 0 1000 t compare
19 Norway 0 1000 t compare
19 Antigua and Barbuda 0 1000 t
19 Barbados 0 1000 t
19 Serbia 0 1000 t
19 Tunisia 0 1000 t compare
19 Argentina 0 1000 t compare
19 Czechia 0 1000 t compare
19 Myanmar 0 1000 t compare
19 Panama 0 1000 t
19 Yemen 0 1000 t
19 Israel 0 1000 t compare
19 Nicaragua 0 1000 t
19 Slovenia 0 1000 t
19 Netherlands (Kingdom of the) 0 1000 t compare
19 Bulgaria 0 1000 t compare
19 Belgium 0 1000 t compare
19 Switzerland 0 1000 t
19 Denmark 0 1000 t compare
19 Poland 0 1000 t compare
19 Dominican Republic 0 1000 t
19 Iran (Islamic Republic of) 0 1000 t compare
19 Mauritius 0 1000 t compare
19 El Salvador 0 1000 t
19 Romania 0 1000 t compare
19 Belize 0 1000 t
19 Zambia 0 1000 t compare
19 Mozambique 0 1000 t
19 Portugal 0 1000 t compare
19 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
19 Malawi 0 1000 t
19 Jamaica 0 1000 t compare
19 Lebanon 0 1000 t
19 Democratic Republic of the Congo 0 1000 t compare
19 China, Hong Kong SAR 0 1000 t compare
19 Madagascar 0 1000 t
19 Canada 0 1000 t compare
19 Syrian Arab Republic 0 1000 t compare
19 Austria 0 1000 t compare
19 Türkiye 0 1000 t compare
19 Malta 0 1000 t
19 France 0 1000 t
19 Trinidad and Tobago 0 1000 t
19 Ghana 0 1000 t compare
19 Malaysia 0 1000 t
19 Senegal 0 1000 t compare
19 Venezuela (Bolivarian Republic of) 0 1000 t compare
19 Bolivia (Plurinational State of) 0 1000 t
19 Ecuador 0 1000 t
19 Kazakhstan 0 1000 t compare
19 China, Taiwan Province of 0 1000 t compare
19 Fiji 0 1000 t
19 Morocco 0 1000 t compare
19 Botswana 0 1000 t
19 Hungary 0 1000 t
19 Ethiopia 0 1000 t compare
19 Zimbabwe 0 1000 t
19 Bangladesh 0 1000 t compare
19 Polynesia 0 1000 t
19 Cameroon 0 1000 t compare
19 Cambodia 0 1000 t
19 Cyprus 0 1000 t compare
19 Italy 0 1000 t compare
19 Nigeria 0 1000 t compare
19 South Africa 0 1000 t compare
19 Republic of Korea 0 1000 t
19 Philippines 0 1000 t compare
19 Uganda 0 1000 t
19 Sri Lanka 0 1000 t
19 Honduras 0 1000 t
19 Costa Rica 0 1000 t
19 Peru 0 1000 t compare
19 Spain 0 1000 t compare
19 India 0 1000 t compare
19 Thailand 0 1000 t
19 United Republic of Tanzania 0 1000 t compare
19 Mexico 0 1000 t compare
19 Egypt 0 1000 t compare
19 Colombia 0 1000 t compare
19 Guatemala 0 1000 t compare
19 Nepal 0 1000 t compare
19 Kenya 0 1000 t compare
19 Melanesia 0 1000 t compare
19 Caribbean 0 1000 t compare
19 Nauru 0 1000 t
19 East Timor 0 1000 t
19 Laos 0 1000 t
19 Moldova 0 1000 t
19 Vietnam 0 1000 t
19 United Kingdom 0 1000 t compare
19 Syria 0 1000 t compare
19 Turkey 0 1000 t compare
19 United States 0 1000 t compare

See the full ranking of 224 places →

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)

All data for Lithuania →

Frequently asked questions

What is mutton & goat meat — stock variation in Lithuania?: Mutton & goat meat — stock variation in Lithuania was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest mutton & goat meat — stock variation recorded in Lithuania?: The highest recorded value was 1 1000 t in 2016.
What is the lowest mutton & goat meat — stock variation recorded in Lithuania?: The lowest recorded value was 0 1000 t in 2014.
How does Lithuania rank for mutton & goat meat — stock variation?: Lithuania ranks 19th out of 194 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 Mutton & Goat Meat — Stock Variation. Statizoid updates them automatically from the source API.

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Mutton & Goat Meat — Stock Variation in Lithuania. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/mutton-and-goat-meat-stock-variation/lithuania/

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About this data

Indicator: Mutton & Goat Meat — Stock Variation
Unit: 1000 t
Source: Food and Agriculture Organization of the United Nations
Licence: CC BY-NC-SA 3.0 IGO (FAO)
Coverage: 224 places, 2,974 data points, 2010–2023
Last refreshed: 17 September 2026

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.