Stimulants — Stock Variation in Cuba
Cuba: Stimulants — Stock Variation was 0 1000 t in 2019. ◆ Volatile
Stimulants — Stock Variation in Cuba, 2010–2019
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Cuba recorded 0 1000 t for stimulants — stock variation in 2019. That is the highest value across all 10 years on record.
That represents a change of up 100.0% on the previous year.
Over the whole period, stimulants — stock variation in Cuba peaked at 0 1000 t in 2010 and was at its lowest, -1 1000 t, in 2018.
That places Cuba 68th out of 182 countries with data for 2019, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Countries ranked near Cuba
- 68 Micronesia (Federated States of) 0 1000 t
- 68 Tuvalu 0 1000 t
- 68 Nauru 0 1000 t
- 68 Tonga 0 1000 t
- 68 Bhutan 0 1000 t
- 68 Qatar 0 1000 t
- 68 Democratic People's Republic of Korea 0 1000 t compare
- 68 Turkmenistan 0 1000 t compare
- 68 Timor-Leste 0 1000 t compare
- 68 Kiribati 0 1000 t compare
- 68 Lesotho 0 1000 t compare
- 68 Comoros 0 1000 t compare
- 68 Djibouti 0 1000 t compare
- 68 Guinea-Bissau 0 1000 t compare
- 68 Sao Tome and Principe 0 1000 t compare
- 68 Mauritania 0 1000 t compare
- 68 Afghanistan 0 1000 t compare
- 68 Saint Kitts and Nevis 0 1000 t compare
- 68 Mongolia 0 1000 t compare
- 68 Solomon Islands 0 1000 t compare
- 68 Gambia 0 1000 t compare
- 68 Vanuatu 0 1000 t compare
- 68 Albania 0 1000 t compare
- 68 Suriname 0 1000 t compare
- 68 Cabo Verde 0 1000 t compare
- 68 Saint Vincent and the Grenadines 0 1000 t compare
- 68 Seychelles 0 1000 t compare
- 68 Kuwait 0 1000 t compare
- 68 Iceland 0 1000 t compare
- 68 French Polynesia 0 1000 t compare
- 68 Samoa 0 1000 t compare
- 68 Grenada 0 1000 t compare
- 68 Gabon 0 1000 t compare
- 68 Guyana 0 1000 t compare
- 68 Estonia 0 1000 t compare
- 68 Saint Lucia 0 1000 t compare
- 68 Eswatini 0 1000 t compare
- 68 Angola 0 1000 t compare
- 68 Republic of Moldova 0 1000 t compare
- 68 Jordan 0 1000 t compare
- 68 New Caledonia 0 1000 t compare
- 68 Bahamas 0 1000 t compare
- 68 Niger 0 1000 t compare
- 68 Congo 0 1000 t compare
- 68 Paraguay 0 1000 t compare
- 68 Uruguay 0 1000 t compare
- 68 Slovakia 0 1000 t compare
- 68 Antigua and Barbuda 0 1000 t compare
- 68 Latvia 0 1000 t compare
- 68 Luxembourg 0 1000 t compare
- 68 Barbados 0 1000 t compare
- 68 Burkina Faso 0 1000 t compare
- 68 Chile 0 1000 t compare
- 68 Serbia 0 1000 t compare
- 68 Norway 0 1000 t compare
- 68 Myanmar 0 1000 t compare
- 68 Panama 0 1000 t compare
- 68 Mauritius 0 1000 t compare
- 68 Belize 0 1000 t compare
- 68 Jamaica 0 1000 t compare
- 68 Rwanda 0 1000 t compare
- 68 Poland 0 1000 t compare
- 68 El Salvador 0 1000 t compare
- 68 Malawi 0 1000 t compare
- 68 Trinidad and Tobago 0 1000 t compare
- 68 Zambia 0 1000 t compare
- 68 Russian Federation 0 1000 t compare
- 68 Democratic Republic of the Congo 0 1000 t compare
- 68 New Zealand 0 1000 t compare
- 68 Mozambique 0 1000 t compare
- 68 Malta 0 1000 t compare
- 68 Fiji 0 1000 t compare
- 68 France 0 1000 t compare
- 68 Sweden 0 1000 t compare
- 68 Bolivia (Plurinational State of) 0 1000 t compare
- 68 Polynesia 0 1000 t compare
- 68 Ecuador 0 1000 t compare
- 68 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 68 Botswana 0 1000 t compare
- 68 Cambodia 0 1000 t compare
- 68 Germany 0 1000 t compare
- 68 Bangladesh 0 1000 t compare
- 68 Nigeria 0 1000 t compare
- 68 Costa Rica 0 1000 t compare
- 68 Sri Lanka 0 1000 t compare
- 68 Peru 0 1000 t compare
More agriculture & rural data for Cuba
- Agriculture share gdp 1.24 (2024)
- Value added in the agricultural sector as of gdp vs gdp per capita 1.24 (2024)
- Agricultural raw materials exports 1.5% (2022)
- Agricultural raw materials imports 0.4% (2022)
- Rural population 22.8% (2025)
- Rural population growth -0.7% (2025)
- Rural population 2.49 million (2025)
- Agriculture, forestry, and fishing, value added 1.2% (2024)
- Agriculture, forestry, and fishing, value added 2.96 billion current US$ (2020)
- Bananas — Production 155,957 t (2024)
Frequently asked questions
- What is stimulants — stock variation in Cuba?
- Stimulants — stock variation in Cuba was 0 1000 t in 2019, according to Food and Agriculture Organization of the United Nations.
- What is the highest stimulants — stock variation recorded in Cuba?
- The highest recorded value was 0 1000 t in 2010.
- What is the lowest stimulants — stock variation recorded in Cuba?
- The lowest recorded value was -1 1000 t in 2018.
- How does Cuba rank for stimulants — stock variation?
- Cuba ranks 68th out of 182 countries with data for 2019.
- Where does this Cuba data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Stimulants — Stock Variation. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 10 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.