Rice and products — Residuals in Poland
Poland: Rice and products — Residuals was 0 1000 t in 2023. ◆ Volatile
Rice and products — Residuals in Poland, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for rice and products — residuals in Poland is 0 1000 t, measured in 2023.
Compared with earlier readings it is up 100.0% over ten years.
Over the whole period, rice and products — residuals in Poland peaked at 1 1000 t in 2014 and was at its lowest, -5 1000 t, in 2013.
That places Poland 11th out of 164 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.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -0.5 1000 t | -5 1000 t | 1 1000 t | 10 |
| 2020s | -0.25 1000 t | -1 1000 t | 0 1000 t | 4 |
Countries ranked near Poland
- 8 Norway 1 1000 t compare
- 8 Netherlands (Kingdom of the) 1 1000 t compare
- 8 Saint Vincent and the Grenadines 1 1000 t compare
- 11 Bahrain 0 1000 t compare
- 11 Bhutan 0 1000 t compare
- 11 Nauru 0 1000 t compare
- 11 Tuvalu 0 1000 t compare
- 11 Qatar 0 1000 t compare
- 11 Tonga 0 1000 t compare
- 11 Cuba 0 1000 t compare
- 11 China, Macao SAR 0 1000 t compare
- 11 Kiribati 0 1000 t compare
- 11 Comoros 0 1000 t compare
- 11 Antigua and Barbuda 0 1000 t compare
- 11 Afghanistan 0 1000 t compare
- 11 Bahamas 0 1000 t compare
- 11 Barbados 0 1000 t compare
- 11 Belarus 0 1000 t compare
- 11 Armenia 0 1000 t compare
- 11 Albania 0 1000 t compare
- 11 Bosnia and Herzegovina 0 1000 t compare
- 11 Algeria 0 1000 t compare
- 11 Maldives 0 1000 t compare
- 11 Austria 0 1000 t compare
- 11 Sao Tome and Principe 0 1000 t compare
- 11 Gabon 0 1000 t compare
- 11 French Polynesia 0 1000 t compare
- 11 Grenada 0 1000 t compare
- 11 Congo 0 1000 t compare
- 11 Kuwait 0 1000 t compare
- 11 Angola 0 1000 t compare
- 11 Botswana 0 1000 t compare
- 11 Burkina Faso 0 1000 t compare
- 11 Haiti 0 1000 t compare
- 11 Iceland 0 1000 t compare
- 11 Guinea 0 1000 t compare
- 11 Lesotho 0 1000 t compare
- 11 Gambia 0 1000 t compare
- 11 Saint Kitts and Nevis 0 1000 t compare
- 11 Liberia 0 1000 t compare
- 11 Georgia 0 1000 t compare
- 11 Cameroon 0 1000 t compare
- 11 El Salvador 0 1000 t compare
- 11 Denmark 0 1000 t compare
- 11 Azerbaijan 0 1000 t compare
- 11 Finland 0 1000 t compare
- 11 Australia 0 1000 t compare
- 11 Samoa 0 1000 t compare
- 11 Czechia 0 1000 t compare
- 11 Mongolia 0 1000 t compare
- 11 Argentina 0 1000 t compare
- 11 Belize 0 1000 t compare
- 11 China, Hong Kong SAR 0 1000 t compare
- 11 Bangladesh 0 1000 t compare
- 11 Estonia 0 1000 t compare
- 11 Jordan 0 1000 t compare
- 11 Montenegro 0 1000 t compare
- 11 Guyana 0 1000 t compare
- 11 Fiji 0 1000 t compare
- 11 Ethiopia 0 1000 t compare
- 11 Cyprus 0 1000 t compare
- 11 Germany 0 1000 t compare
- 11 Seychelles 0 1000 t compare
- 11 Mauritania 0 1000 t compare
- 11 Chile 0 1000 t compare
- 11 China, Taiwan Province of 0 1000 t compare
- 11 Colombia 0 1000 t compare
- 11 Costa Rica 0 1000 t compare
- 11 China, mainland 0 1000 t compare
- 11 Latvia 0 1000 t compare
- 11 Luxembourg 0 1000 t compare
- 11 Namibia 0 1000 t compare
- 11 Dominican Republic 0 1000 t compare
- 11 Ireland 0 1000 t compare
- 11 Iraq 0 1000 t compare
- 11 Eswatini 0 1000 t compare
- 11 Lithuania 0 1000 t compare
- 11 Vanuatu 0 1000 t compare
- 11 Saint Lucia 0 1000 t compare
- 11 Papua New Guinea 0 1000 t compare
- 11 India 0 1000 t compare
- 11 Nicaragua 0 1000 t compare
- 11 Oman 0 1000 t compare
- 11 Jamaica 0 1000 t compare
- 11 Malaysia 0 1000 t compare
- 11 New Caledonia 0 1000 t compare
- 11 Kazakhstan 0 1000 t compare
- 11 Hungary 0 1000 t compare
- 11 Tunisia 0 1000 t compare
- 11 China (People’s Republic of) 0 1000 t compare
- 11 Malawi 0 1000 t compare
- 11 Panama 0 1000 t compare
- 11 Malta 0 1000 t compare
- 11 Serbia 0 1000 t compare
- 11 Mauritius 0 1000 t compare
- 11 Philippines 0 1000 t compare
- 11 Egypt 0 1000 t compare
- 11 Greece 0 1000 t compare
- 11 Niger 0 1000 t compare
- 11 Morocco 0 1000 t compare
- 11 Slovak Republic 0 1000 t compare
- 11 Solomon Islands 0 1000 t compare
- 11 Kyrgyzstan 0 1000 t compare
- 11 Nigeria 0 1000 t compare
- 11 Sierra Leone 0 1000 t compare
- 11 Turkmenistan 0 1000 t compare
- 11 New Zealand 0 1000 t compare
- 11 Switzerland 0 1000 t compare
- 11 Yemen 0 1000 t compare
- 11 Myanmar 0 1000 t compare
- 11 Italy 0 1000 t compare
- 11 North Macedonia 0 1000 t compare
- 11 United Arab Emirates 0 1000 t compare
- 11 Saudi Arabia 0 1000 t compare
- 11 Mozambique 0 1000 t compare
- 11 Suriname 0 1000 t compare
- 11 Rwanda 0 1000 t compare
- 11 Senegal 0 1000 t compare
- 11 Kenya 0 1000 t compare
- 11 Peru 0 1000 t compare
- 11 Sri Lanka 0 1000 t compare
- 11 Sweden 0 1000 t compare
- 11 Portugal 0 1000 t compare
- 11 Tajikistan 0 1000 t compare
- 11 Russian Federation 0 1000 t compare
- 11 Pakistan 0 1000 t compare
- 11 South Africa 0 1000 t compare
- 11 Uruguay 0 1000 t compare
- 11 Zimbabwe 0 1000 t compare
- 11 Nepal 0 1000 t compare
- 11 Thailand 0 1000 t compare
- 11 Uzbekistan 0 1000 t compare
- 11 Ukraine 0 1000 t compare
- 11 Uganda 0 1000 t compare
- 11 Trinidad and Tobago 0 1000 t compare
- 11 Zambia 0 1000 t compare
- 11 Australia and New Zealand 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)
- Agriculture share gdp 2.45 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 2.45 (2025)
- Agricultural raw materials exports 1.0% (2024)
- Agricultural raw materials imports 1.2% (2024)
Frequently asked questions
- What is rice and products — residuals in Poland?
- Rice and products — residuals in Poland was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest rice and products — residuals recorded in Poland?
- The highest recorded value was 1 1000 t in 2014.
- What is the lowest rice and products — residuals recorded in Poland?
- The lowest recorded value was -5 1000 t in 2013.
- How does Poland rank for rice and products — residuals?
- Poland ranks 11th out of 164 countries with data for 2023.
- Is rice and products — residuals 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 Rice and products — Residuals. 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.