Pineapples and products — Stock Variation in Russian Federation
Russian Federation: Pineapples and products — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Pineapples and products — Stock Variation in Russian Federation, 2014–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, pineapples and products — stock variation in Russian Federation stood at 0 1000 t.
Compared with earlier readings it is up 100.0% over ten years.
Over the whole period, pineapples and products — stock variation in Russian Federation peaked at 1 1000 t in 2018 and was at its lowest, -85 1000 t, in 2014.
Russian Federation ranks 30th of 184 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Pineapples and products — Stock Variation in Russian Federation, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2014 | -85 1000 t | — |
| 2015 | -9 1000 t | -89.4% |
| 2016 | 0 1000 t | -100.0% |
| 2017 | 0 1000 t | — |
| 2018 | 1 1000 t | — |
| 2019 | 0 1000 t | -100.0% |
| 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 | -15.5 1000 t | -85 1000 t | 1 1000 t | 6 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Russian Federation
- 30 Micronesia (Federated States of) 0 1000 t
- 30 Tuvalu 0 1000 t
- 30 Naoero 0 1000 t
- 30 Tonga 0 1000 t
- 30 Marshall Islands 0 1000 t compare
- 30 Bhutan 0 1000 t
- 30 Qatar 0 1000 t compare
- 30 Bahrain 0 1000 t compare
- 30 Cuba 0 1000 t compare
- 30 Kiribati 0 1000 t
- 30 Comoros 0 1000 t
- 30 Djibouti 0 1000 t
- 30 Sao Tome and Principe 0 1000 t compare
- 30 Liberia 0 1000 t
- 30 China, Macao SAR 0 1000 t
- 30 Tajikistan 0 1000 t
- 30 Micronesia 0 1000 t compare
- 30 Mauritania 0 1000 t compare
- 30 Mongolia 0 1000 t compare
- 30 Saint Kitts and Nevis 0 1000 t
- 30 Solomon Islands 0 1000 t
- 30 Gambia 0 1000 t
- 30 Libya 0 1000 t compare
- 30 Vanuatu 0 1000 t
- 30 Albania 0 1000 t
- 30 Sierra Leone 0 1000 t
- 30 Suriname 0 1000 t compare
- 30 Cabo Verde 0 1000 t compare
- 30 Saint Vincent and the Grenadines 0 1000 t
- 30 Montenegro 0 1000 t compare
- 30 Maldives 0 1000 t compare
- 30 Armenia 0 1000 t
- 30 French Polynesia 0 1000 t compare
- 30 Kuwait 0 1000 t compare
- 30 Seychelles 0 1000 t
- 30 Iceland 0 1000 t
- 30 Samoa 0 1000 t
- 30 Kyrgyzstan 0 1000 t compare
- 30 Grenada 0 1000 t
- 30 Gabon 0 1000 t
- 30 Estonia 0 1000 t compare
- 30 Guyana 0 1000 t compare
- 30 Georgia 0 1000 t
- 30 Saint Lucia 0 1000 t compare
- 30 Bosnia and Herzegovina 0 1000 t compare
- 30 Lithuania 0 1000 t compare
- 30 Eswatini 0 1000 t compare
- 30 Papua New Guinea 0 1000 t
- 30 Republic of Moldova 0 1000 t
- 30 Guinea 0 1000 t compare
- 30 Haiti 0 1000 t compare
- 30 Angola 0 1000 t compare
- 30 North Macedonia 0 1000 t compare
- 30 Jordan 0 1000 t
- 30 New Caledonia 0 1000 t compare
- 30 Bahamas 0 1000 t compare
- 30 Oman 0 1000 t compare
- 30 Azerbaijan 0 1000 t compare
- 30 Niger 0 1000 t compare
- 30 Congo 0 1000 t compare
- 30 Finland 0 1000 t compare
- 30 Paraguay 0 1000 t
- 30 Algeria 0 1000 t compare
- 30 Belarus 0 1000 t compare
- 30 Iraq 0 1000 t
- 30 Antigua and Barbuda 0 1000 t compare
- 30 Slovakia 0 1000 t compare
- 30 Uruguay 0 1000 t compare
- 30 Ukraine 0 1000 t compare
- 30 Luxembourg 0 1000 t compare
- 30 Namibia 0 1000 t compare
- 30 Latvia 0 1000 t compare
- 30 Barbados 0 1000 t
- 30 Tunisia 0 1000 t compare
- 30 Czechia 0 1000 t compare
- 30 Chile 0 1000 t compare
- 30 Serbia 0 1000 t
- 30 Argentina 0 1000 t compare
- 30 Croatia 0 1000 t compare
- 30 Saudi Arabia 0 1000 t compare
- 30 Burkina Faso 0 1000 t compare
- 30 Norway 0 1000 t compare
- 30 Mauritius 0 1000 t compare
- 30 Panama 0 1000 t compare
- 30 Belize 0 1000 t
- 30 Bulgaria 0 1000 t compare
- 30 Myanmar 0 1000 t compare
- 30 Belgium 0 1000 t compare
- 30 Israel 0 1000 t compare
- 30 China, Hong Kong SAR 0 1000 t compare
- 30 Rwanda 0 1000 t
- 30 Nicaragua 0 1000 t compare
- 30 Yemen 0 1000 t compare
- 30 Portugal 0 1000 t compare
- 30 Switzerland 0 1000 t compare
- 30 Trinidad and Tobago 0 1000 t compare
- 30 Denmark 0 1000 t compare
- 30 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 30 Madagascar 0 1000 t
- 30 Malawi 0 1000 t compare
- 30 Malta 0 1000 t compare
- 30 New Zealand 0 1000 t compare
- 30 Russian Federation 0 1000 t compare
- 30 Fiji 0 1000 t compare
- 30 Canada 0 1000 t compare
- 30 Malaysia 0 1000 t compare
- 30 Mozambique 0 1000 t
- 30 Democratic Republic of the Congo 0 1000 t compare
- 30 Syrian Arab Republic 0 1000 t compare
- 30 France 0 1000 t compare
- 30 Polynesia 0 1000 t compare
- 30 Sweden 0 1000 t compare
- 30 Bolivia (Plurinational State of) 0 1000 t
- 30 Ghana 0 1000 t compare
- 30 United Arab Emirates 0 1000 t compare
- 30 Ecuador 0 1000 t compare
- 30 Hungary 0 1000 t compare
- 30 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 30 Botswana 0 1000 t
- 30 Kazakhstan 0 1000 t compare
- 30 Australia 0 1000 t compare
- 30 Zimbabwe 0 1000 t
- 30 Ethiopia 0 1000 t compare
- 30 Senegal 0 1000 t compare
- 30 Côte d'Ivoire 0 1000 t compare
- 30 Cameroon 0 1000 t
- 30 Cyprus 0 1000 t compare
- 30 Cambodia 0 1000 t
- 30 Italy 0 1000 t compare
- 30 South Africa 0 1000 t compare
- 30 Bangladesh 0 1000 t compare
- 30 Nigeria 0 1000 t compare
- 30 Honduras 0 1000 t compare
- 30 Pakistan 0 1000 t compare
- 30 Costa Rica 0 1000 t compare
- 30 Sri Lanka 0 1000 t
- 30 Uganda 0 1000 t
- 30 Peru 0 1000 t compare
- 30 India 0 1000 t compare
- 30 Brazil 0 1000 t compare
- 30 Mexico 0 1000 t compare
- 30 United Republic of Tanzania 0 1000 t compare
- 30 Australia and New Zealand 0 1000 t compare
- 30 Colombia 0 1000 t compare
- 30 Nepal 0 1000 t compare
- 30 Melanesia 0 1000 t compare
- 30 Nauru 0 1000 t
- 30 Republic of Moldova 0 1000 t
- 30 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 30 Syrian Arab Republic 0 1000 t compare
- 30 Côte d'Ivoire 0 1000 t compare
- 30 United States of America 0 1000 t compare
More agriculture & rural data for Russian Federation
- Agriculture, forestry, and fishing, value added (current US$), annual 23.26 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0306 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 545.65 current US$ per person (2025)
- Rural population, annual growth rate -0.6656 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.2475 units per person (2025)
- Share of GDP from agriculture 3.1% (2025)
- Agriculture as a share of GDP vs. GDP per capita 3.1% (2025)
- Agricultural raw materials exports 2.3% (2021)
- Agricultural raw materials imports 1.0% (2021)
Frequently asked questions
- What is pineapples and products — stock variation in Russian Federation?
- Pineapples and products — stock variation in Russian Federation was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest pineapples and products — stock variation recorded in Russian Federation?
- The highest recorded value was 1 1000 t in 2018.
- What is the lowest pineapples and products — stock variation recorded in Russian Federation?
- The lowest recorded value was -85 1000 t in 2014.
- How does Russian Federation rank for pineapples and products — stock variation?
- Russian Federation ranks 30th out of 184 countries with data for 2023.
- Is pineapples and products — stock variation rising or falling in Russian Federation?
- Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
- Where does this Russian Federation data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Pineapples and products — Stock Variation. Statizoid updates them automatically from the source API.
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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.