Cottonseed Oil — Stock Variation in Paraguay
Paraguay: Cottonseed Oil — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Cottonseed Oil — Stock Variation in Paraguay, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Paraguay recorded 0 1000 t for cottonseed oil — stock variation in 2023. That is the lowest value across all 14 years on record.
Over the whole period, cottonseed oil — stock variation in Paraguay peaked at 1 1000 t in 2019 and was at its lowest, 0 1000 t, in 2010.
Paraguay ranks 9th of 147 countries on this measure, 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 | 0.1 1000 t | 0 1000 t | 1 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Paraguay
- 7 Bulgaria 1 1000 t compare
- 7 Ethiopia 1 1000 t compare
- 9 Marshall Islands 0 1000 t
- 9 Qatar 0 1000 t
- 9 Bahrain 0 1000 t
- 9 Cuba 0 1000 t
- 9 Djibouti 0 1000 t
- 9 Saint Kitts and Nevis 0 1000 t
- 9 China, Macao SAR 0 1000 t
- 9 Tajikistan 0 1000 t compare
- 9 Solomon Islands 0 1000 t
- 9 Saint Vincent and the Grenadines 0 1000 t
- 9 Vanuatu 0 1000 t
- 9 Libya 0 1000 t
- 9 Albania 0 1000 t
- 9 Grenada 0 1000 t
- 9 Iceland 0 1000 t
- 9 Montenegro 0 1000 t
- 9 Seychelles 0 1000 t
- 9 Armenia 0 1000 t
- 9 Bahamas 0 1000 t
- 9 Kuwait 0 1000 t
- 9 Sierra Leone 0 1000 t
- 9 French Polynesia 0 1000 t
- 9 Estonia 0 1000 t
- 9 Guyana 0 1000 t
- 9 Georgia 0 1000 t
- 9 Jordan 0 1000 t
- 9 Gambia 0 1000 t
- 9 Kyrgyzstan 0 1000 t compare
- 9 North Macedonia 0 1000 t
- 9 Gabon 0 1000 t
- 9 Azerbaijan 0 1000 t compare
- 9 Bosnia and Herzegovina 0 1000 t
- 9 Lithuania 0 1000 t
- 9 Oman 0 1000 t
- 9 Antigua and Barbuda 0 1000 t
- 9 Barbados 0 1000 t
- 9 Haiti 0 1000 t
- 9 New Caledonia 0 1000 t
- 9 Eswatini 0 1000 t
- 9 Angola 0 1000 t
- 9 Finland 0 1000 t
- 9 Congo 0 1000 t
- 9 Iraq 0 1000 t compare
- 9 Luxembourg 0 1000 t
- 9 Belarus 0 1000 t
- 9 Tunisia 0 1000 t
- 9 Croatia 0 1000 t
- 9 Papua New Guinea 0 1000 t
- 9 China, Hong Kong SAR 0 1000 t
- 9 Algeria 0 1000 t
- 9 Mauritius 0 1000 t compare
- 9 Ireland 0 1000 t
- 9 Latvia 0 1000 t
- 9 Argentina 0 1000 t compare
- 9 Niger 0 1000 t
- 9 Namibia 0 1000 t
- 9 Chile 0 1000 t
- 9 Israel 0 1000 t compare
- 9 Dominican Republic 0 1000 t
- 9 Jamaica 0 1000 t
- 9 Trinidad and Tobago 0 1000 t
- 9 Belize 0 1000 t
- 9 El Salvador 0 1000 t
- 9 Panama 0 1000 t
- 9 Malta 0 1000 t
- 9 Serbia 0 1000 t
- 9 United Kingdom of Great Britain and Northern Ireland 0 1000 t
- 9 Rwanda 0 1000 t
- 9 Uruguay 0 1000 t
- 9 Slovak Republic 0 1000 t
- 9 Czechia 0 1000 t
- 9 Norway 0 1000 t
- 9 Romania 0 1000 t compare
- 9 Denmark 0 1000 t
- 9 Yemen 0 1000 t
- 9 Nicaragua 0 1000 t
- 9 Fiji 0 1000 t
- 9 Portugal 0 1000 t
- 9 Burkina Faso 0 1000 t compare
- 9 Poland 0 1000 t
- 9 Slovenia 0 1000 t
- 9 Lebanon 0 1000 t
- 9 Malawi 0 1000 t compare
- 9 Zambia 0 1000 t compare
- 9 Ukraine 0 1000 t
- 9 Netherlands (Kingdom of the) 0 1000 t compare
- 9 United Arab Emirates 0 1000 t
- 9 Switzerland 0 1000 t
- 9 Madagascar 0 1000 t
- 9 France 0 1000 t
- 9 Canada 0 1000 t
- 9 Mozambique 0 1000 t compare
- 9 New Zealand 0 1000 t
- 9 Sweden 0 1000 t compare
- 9 Hungary 0 1000 t
- 9 Austria 0 1000 t
- 9 Ghana 0 1000 t compare
- 9 Myanmar 0 1000 t compare
- 9 Australia 0 1000 t compare
- 9 China, Taiwan Province of 0 1000 t compare
- 9 Botswana 0 1000 t
- 9 Honduras 0 1000 t
- 9 Cyprus 0 1000 t
- 9 Italy 0 1000 t
- 9 Zimbabwe 0 1000 t compare
- 9 Morocco 0 1000 t compare
- 9 Cambodia 0 1000 t
- 9 Costa Rica 0 1000 t
- 9 South Africa 0 1000 t compare
- 9 Bangladesh 0 1000 t compare
- 9 Senegal 0 1000 t
- 9 Ecuador 0 1000 t
- 9 Germany 0 1000 t
- 9 Republic of Korea 0 1000 t compare
- 9 Russian Federation 0 1000 t
- 9 Philippines 0 1000 t
- 9 Thailand 0 1000 t
- 9 Peru 0 1000 t compare
- 9 Nigeria 0 1000 t compare
- 9 Sri Lanka 0 1000 t
- 9 Spain 0 1000 t compare
- 9 Uganda 0 1000 t compare
- 9 Indonesia 0 1000 t
- 9 Guatemala 0 1000 t
- 9 Mexico 0 1000 t compare
- 9 Colombia 0 1000 t compare
- 9 Australia and New Zealand 0 1000 t compare
- 9 Nepal 0 1000 t
- 9 Kenya 0 1000 t
More agriculture & rural data for Paraguay
- Agriculture, forestry, and fishing, value added (current US$), annual 14.01 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1164 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 817.98 current US$ per person (2025)
- Rural population, annual growth rate -0.5603 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.2961 units per person (2025)
- Agriculture share gdp 11.64 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 11.64 (2025)
- Agricultural raw materials exports 1.6% (2025)
- Agricultural raw materials imports 0.8% (2025)
Frequently asked questions
- What is cottonseed oil — stock variation in Paraguay?
- Cottonseed oil — stock variation in Paraguay was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cottonseed oil — stock variation recorded in Paraguay?
- The highest recorded value was 1 1000 t in 2019.
- What is the lowest cottonseed oil — stock variation recorded in Paraguay?
- The lowest recorded value was 0 1000 t in 2010.
- How does Paraguay rank for cottonseed oil — stock variation?
- Paraguay ranks 9th out of 147 countries with data for 2023.
- Where does this Paraguay data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Cottonseed Oil — 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.