Tomatoes and products — Stock Variation in Poland
Poland: Tomatoes and products — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Tomatoes and products — Stock Variation in Poland, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, tomatoes and products — stock variation in Poland stood at 0 1000 t.
Compared with earlier readings it is up 100.0% on the previous year and up 100.0% over ten years.
Over the whole period, tomatoes and products — stock variation in Poland peaked at 57 1000 t in 2020 and was at its lowest, -7 1000 t, in 2022.
Poland ranks 33rd of 186 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Tomatoes and products — Stock Variation in Poland, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | -6 1000 t | — |
| 2011 | 5 1000 t | -183.3% |
| 2012 | -3 1000 t | -160.0% |
| 2013 | -1 1000 t | -66.7% |
| 2014 | 2 1000 t | -300.0% |
| 2015 | 21 1000 t | +950.0% |
| 2016 | 27 1000 t | +28.6% |
| 2017 | 41 1000 t | +51.9% |
| 2018 | 46 1000 t | +12.2% |
| 2019 | 42 1000 t | -8.7% |
| 2020 | 57 1000 t | +35.7% |
| 2021 | 3 1000 t | -94.7% |
| 2022 | -7 1000 t | -333.3% |
| 2023 | 0 1000 t | -100.0% |
Biggest year-on-year movements
Years where Tomatoes and products — Stock Variation in Poland changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2015 | +950.0% | 2 1000 t | 21 1000 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 17.4 1000 t | -6 1000 t | 46 1000 t | 10 |
| 2020s | 13.25 1000 t | -7 1000 t | 57 1000 t | 4 |
Countries ranked near Poland
- 33 Tuvalu 0 1000 t
- 33 Nauru 0 1000 t
- 33 Tonga 0 1000 t
- 33 Marshall Islands 0 1000 t
- 33 Bhutan 0 1000 t
- 33 Qatar 0 1000 t compare
- 33 Bahrain 0 1000 t compare
- 33 Cuba 0 1000 t
- 33 Kiribati 0 1000 t
- 33 Timor-Leste 0 1000 t
- 33 Comoros 0 1000 t
- 33 Djibouti 0 1000 t
- 33 Sao Tome and Principe 0 1000 t
- 33 Micronesia 0 1000 t
- 33 Tajikistan 0 1000 t
- 33 Mauritania 0 1000 t compare
- 33 China, Macao SAR 0 1000 t
- 33 Saint Kitts and Nevis 0 1000 t
- 33 Mongolia 0 1000 t compare
- 33 Solomon Islands 0 1000 t
- 33 Albania 0 1000 t compare
- 33 Vanuatu 0 1000 t
- 33 Saint Vincent and the Grenadines 0 1000 t
- 33 Libya 0 1000 t
- 33 Suriname 0 1000 t
- 33 Cabo Verde 0 1000 t
- 33 French Polynesia 0 1000 t
- 33 Grenada 0 1000 t
- 33 Maldives 0 1000 t
- 33 Sierra Leone 0 1000 t
- 33 Armenia 0 1000 t
- 33 Iceland 0 1000 t
- 33 Lao People's Democratic Republic 0 1000 t
- 33 Saint Lucia 0 1000 t
- 33 Gambia 0 1000 t compare
- 33 Seychelles 0 1000 t
- 33 Samoa 0 1000 t
- 33 Guyana 0 1000 t
- 33 Georgia 0 1000 t
- 33 Uzbekistan 0 1000 t compare
- 33 Kyrgyzstan 0 1000 t
- 33 Bosnia and Herzegovina 0 1000 t compare
- 33 Bahamas 0 1000 t
- 33 Gabon 0 1000 t compare
- 33 Jordan 0 1000 t
- 33 Haiti 0 1000 t
- 33 North Macedonia 0 1000 t compare
- 33 Eswatini 0 1000 t
- 33 Republic of Moldova 0 1000 t compare
- 33 New Caledonia 0 1000 t
- 33 Finland 0 1000 t compare
- 33 Antigua and Barbuda 0 1000 t
- 33 Azerbaijan 0 1000 t
- 33 Congo 0 1000 t compare
- 33 Guinea 0 1000 t
- 33 Oman 0 1000 t compare
- 33 Algeria 0 1000 t compare
- 33 Paraguay 0 1000 t
- 33 Barbados 0 1000 t
- 33 Uruguay 0 1000 t compare
- 33 Luxembourg 0 1000 t compare
- 33 Angola 0 1000 t compare
- 33 Tunisia 0 1000 t compare
- 33 Belarus 0 1000 t compare
- 33 Papua New Guinea 0 1000 t
- 33 Croatia 0 1000 t compare
- 33 Niger 0 1000 t
- 33 Iraq 0 1000 t
- 33 Argentina 0 1000 t compare
- 33 Chile 0 1000 t compare
- 33 Jamaica 0 1000 t compare
- 33 Namibia 0 1000 t compare
- 33 Serbia 0 1000 t
- 33 Belgium 0 1000 t compare
- 33 Belize 0 1000 t
- 33 Netherlands (Kingdom of the) 0 1000 t compare
- 33 Mauritius 0 1000 t compare
- 33 Bulgaria 0 1000 t compare
- 33 Panama 0 1000 t compare
- 33 Israel 0 1000 t compare
- 33 Portugal 0 1000 t compare
- 33 Rwanda 0 1000 t
- 33 Romania 0 1000 t compare
- 33 Malta 0 1000 t compare
- 33 Trinidad and Tobago 0 1000 t
- 33 Nicaragua 0 1000 t
- 33 El Salvador 0 1000 t compare
- 33 Burkina Faso 0 1000 t
- 33 Denmark 0 1000 t compare
- 33 Switzerland 0 1000 t compare
- 33 Lebanon 0 1000 t
- 33 Fiji 0 1000 t compare
- 33 Yemen 0 1000 t
- 33 Malawi 0 1000 t
- 33 New Zealand 0 1000 t compare
- 33 Polynesia 0 1000 t
- 33 Zambia 0 1000 t
- 33 Türkiye 0 1000 t compare
- 33 Madagascar 0 1000 t
- 33 Malaysia 0 1000 t compare
- 33 France 0 1000 t compare
- 33 Democratic Republic of the Congo 0 1000 t
- 33 Bolivia (Plurinational State of) 0 1000 t
- 33 Hungary 0 1000 t compare
- 33 Syrian Arab Republic 0 1000 t compare
- 33 Russian Federation 0 1000 t compare
- 33 Cyprus 0 1000 t
- 33 Ecuador 0 1000 t
- 33 China, Taiwan Province of 0 1000 t compare
- 33 Mozambique 0 1000 t
- 33 Ghana 0 1000 t compare
- 33 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 33 Australia 0 1000 t compare
- 33 Morocco 0 1000 t compare
- 33 Myanmar 0 1000 t
- 33 Botswana 0 1000 t
- 33 Honduras 0 1000 t
- 33 Cameroon 0 1000 t
- 33 Italy 0 1000 t compare
- 33 Senegal 0 1000 t
- 33 Costa Rica 0 1000 t compare
- 33 Côte d'Ivoire 0 1000 t
- 33 Cambodia 0 1000 t
- 33 Ethiopia 0 1000 t compare
- 33 Bangladesh 0 1000 t
- 33 Spain 0 1000 t compare
- 33 Republic of Korea 0 1000 t compare
- 33 Philippines 0 1000 t compare
- 33 Pakistan 0 1000 t
- 33 Peru 0 1000 t
- 33 Nigeria 0 1000 t
- 33 Uganda 0 1000 t
- 33 Sri Lanka 0 1000 t
- 33 Egypt 0 1000 t compare
- 33 Guatemala 0 1000 t
- 33 Mexico 0 1000 t compare
- 33 United Republic of Tanzania 0 1000 t
- 33 Australia and New Zealand 0 1000 t compare
- 33 Kenya 0 1000 t compare
- 33 Melanesia 0 1000 t compare
- 33 Nepal 0 1000 t compare
- 33 Caribbean 0 1000 t compare
- 33 Nauru 0 1000 t
- 33 East Timor 0 1000 t
- 33 Laos 0 1000 t
- 33 Moldova 0 1000 t compare
- 33 Turkey 0 1000 t compare
- 33 Syria 0 1000 t compare
- 33 Russia 0 1000 t compare
- 33 Cote d'Ivoire 0 1000 t
- 33 United States 0 1000 t compare
More agriculture & rural data for Poland
- Agriculture, forestry, and fishing, value added (current US$), annual 8.98 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0245 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 697.32 current US$ per person (2025)
- Rural population, annual growth rate -0.6232 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3991 units per person (2025)
- Share of GDP from agriculture 2.5% (2025)
- Agriculture as a share of GDP vs. GDP per capita 2.5% (2025)
- Agricultural raw materials exports 1.0% (2024)
- Agricultural raw materials imports 1.2% (2024)
Frequently asked questions
- What is tomatoes and products — stock variation in Poland?
- Tomatoes and products — stock variation in Poland was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest tomatoes and products — stock variation recorded in Poland?
- The highest recorded value was 57 1000 t in 2020.
- What is the lowest tomatoes and products — stock variation recorded in Poland?
- The lowest recorded value was -7 1000 t in 2022.
- How does Poland rank for tomatoes and products — stock variation?
- Poland ranks 33rd out of 186 countries with data for 2023.
- Is tomatoes and products — stock variation rising or falling in Poland?
- Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
- Where does this Poland data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Tomatoes and products — 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.