Plantains — Residuals in Cameroon
Cameroon: Plantains — Residuals was 0 1000 t in 2023. ◆ Volatile
Plantains — Residuals in Cameroon, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Cameroon recorded 0 1000 t for plantains — residuals in 2023. That is the lowest value across all 14 years on record.
Compared with earlier readings it is down 100.0% over ten years.
Over the whole period, plantains — residuals in Cameroon peaked at 253 1000 t in 2016 and was at its lowest, 0 1000 t, in 2019.
That places Cameroon 1st out of 178 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.
Plantains — Residuals in Cameroon, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | 117 1000 t | — |
| 2011 | 108 1000 t | -7.7% |
| 2012 | 139 1000 t | +28.7% |
| 2013 | 146 1000 t | +5.0% |
| 2014 | 230 1000 t | +57.5% |
| 2015 | 239 1000 t | +3.9% |
| 2016 | 253 1000 t | +5.9% |
| 2017 | 228 1000 t | -9.9% |
| 2018 | 221 1000 t | -3.1% |
| 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 | 168.1 1000 t | 0 1000 t | 253 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Cameroon
- 1 Micronesia (Federated States of) 0 1000 t
- 1 Tuvalu 0 1000 t
- 1 Tonga 0 1000 t
- 1 Marshall Islands 0 1000 t
- 1 Qatar 0 1000 t
- 1 Bahrain 0 1000 t
- 1 Cuba 0 1000 t
- 1 Lesotho 0 1000 t
- 1 Comoros 0 1000 t
- 1 Djibouti 0 1000 t
- 1 Sao Tome and Principe 0 1000 t
- 1 Guinea-Bissau 0 1000 t
- 1 Liberia 0 1000 t
- 1 Mauritania 0 1000 t
- 1 Afghanistan 0 1000 t
- 1 Micronesia 0 1000 t
- 1 Mongolia 0 1000 t
- 1 Saint Kitts and Nevis 0 1000 t
- 1 Gambia 0 1000 t
- 1 Albania 0 1000 t
- 1 Vanuatu 0 1000 t
- 1 Sierra Leone 0 1000 t
- 1 Libya 0 1000 t
- 1 Suriname 0 1000 t
- 1 Saint Vincent and the Grenadines 0 1000 t
- 1 Cabo Verde 0 1000 t
- 1 Montenegro 0 1000 t
- 1 Maldives 0 1000 t
- 1 Armenia 0 1000 t
- 1 Iceland 0 1000 t
- 1 French Polynesia 0 1000 t
- 1 Seychelles 0 1000 t
- 1 Grenada 0 1000 t
- 1 Kuwait 0 1000 t
- 1 Samoa 0 1000 t
- 1 Estonia 0 1000 t
- 1 Georgia 0 1000 t
- 1 Gabon 0 1000 t compare
- 1 Saint Lucia 0 1000 t
- 1 Lithuania 0 1000 t
- 1 Guyana 0 1000 t
- 1 Bosnia and Herzegovina 0 1000 t
- 1 Republic of Moldova 0 1000 t
- 1 North Macedonia 0 1000 t
- 1 Jordan 0 1000 t
- 1 Guinea 0 1000 t
- 1 Haiti 0 1000 t
- 1 New Caledonia 0 1000 t
- 1 Bahamas 0 1000 t
- 1 Angola 0 1000 t compare
- 1 Azerbaijan 0 1000 t
- 1 Oman 0 1000 t
- 1 Congo 0 1000 t
- 1 Finland 0 1000 t
- 1 Paraguay 0 1000 t
- 1 Algeria 0 1000 t
- 1 Belarus 0 1000 t
- 1 Niger 0 1000 t
- 1 Slovakia 0 1000 t
- 1 Uruguay 0 1000 t
- 1 Antigua and Barbuda 0 1000 t
- 1 Luxembourg 0 1000 t
- 1 Iraq 0 1000 t
- 1 Latvia 0 1000 t
- 1 Namibia 0 1000 t
- 1 Barbados 0 1000 t
- 1 Ukraine 0 1000 t
- 1 Tunisia 0 1000 t
- 1 Ireland 0 1000 t compare
- 1 Czechia 0 1000 t
- 1 Chile 0 1000 t
- 1 Argentina 0 1000 t
- 1 Serbia 0 1000 t
- 1 Croatia 0 1000 t
- 1 Viet Nam 0 1000 t compare
- 1 Saudi Arabia 0 1000 t
- 1 Norway 0 1000 t
- 1 Burkina Faso 0 1000 t
- 1 Slovenia 0 1000 t
- 1 Panama 0 1000 t
- 1 Belgium 0 1000 t
- 1 Bulgaria 0 1000 t
- 1 Dominican Republic 0 1000 t compare
- 1 Belize 0 1000 t
- 1 Netherlands (Kingdom of the) 0 1000 t
- 1 Jamaica 0 1000 t
- 1 China, Hong Kong SAR 0 1000 t
- 1 Myanmar 0 1000 t
- 1 Israel 0 1000 t
- 1 Romania 0 1000 t
- 1 Rwanda 0 1000 t
- 1 Nicaragua 0 1000 t
- 1 Portugal 0 1000 t
- 1 Iran (Islamic Republic of) 0 1000 t
- 1 Poland 0 1000 t
- 1 Switzerland 0 1000 t
- 1 Trinidad and Tobago 0 1000 t
- 1 Denmark 0 1000 t
- 1 El Salvador 0 1000 t
- 1 United Kingdom of Great Britain and Northern Ireland 0 1000 t
- 1 Yemen 0 1000 t
- 1 Malawi 0 1000 t
- 1 Malta 0 1000 t
- 1 New Zealand 0 1000 t
- 1 Zambia 0 1000 t
- 1 Fiji 0 1000 t
- 1 Madagascar 0 1000 t
- 1 Canada 0 1000 t
- 1 Russian Federation 0 1000 t
- 1 Austria 0 1000 t
- 1 Malaysia 0 1000 t
- 1 Democratic Republic of the Congo 0 1000 t
- 1 France 0 1000 t
- 1 Türkiye 0 1000 t
- 1 Syrian Arab Republic 0 1000 t
- 1 Sweden 0 1000 t
- 1 Bolivia (Plurinational State of) 0 1000 t
- 1 Mozambique 0 1000 t compare
- 1 Ghana 0 1000 t
- 1 Polynesia 0 1000 t
- 1 Ecuador 0 1000 t
- 1 Hungary 0 1000 t
- 1 United Arab Emirates 0 1000 t
- 1 China, Taiwan Province of 0 1000 t
- 1 Venezuela (Bolivarian Republic of) 0 1000 t
- 1 Kazakhstan 0 1000 t
- 1 Morocco 0 1000 t
- 1 Botswana 0 1000 t
- 1 Australia 0 1000 t
- 1 Zimbabwe 0 1000 t compare
- 1 Senegal 0 1000 t
- 1 Cyprus 0 1000 t
- 1 Côte d'Ivoire 0 1000 t
- 1 Germany 0 1000 t
- 1 Italy 0 1000 t
- 1 South Africa 0 1000 t compare
- 1 Cambodia 0 1000 t compare
- 1 Bangladesh 0 1000 t
- 1 Nigeria 0 1000 t
- 1 Honduras 0 1000 t
- 1 Republic of Korea 0 1000 t
- 1 Costa Rica 0 1000 t compare
- 1 Sri Lanka 0 1000 t
- 1 Uganda 0 1000 t
- 1 Philippines 0 1000 t
- 1 Spain 0 1000 t compare
- 1 Peru 0 1000 t compare
- 1 Thailand 0 1000 t
- 1 India 0 1000 t compare
- 1 Brazil 0 1000 t compare
- 1 United Republic of Tanzania 0 1000 t
- 1 China, mainland 0 1000 t compare
- 1 Australia and New Zealand 0 1000 t
- 1 Colombia 0 1000 t
- 1 Nepal 0 1000 t
- 1 Kenya 0 1000 t
- 1 Melanesia 0 1000 t
- 1 China 0 1000 t compare
- 1 Caribbean 0 1000 t compare
- 1 Moldova 0 1000 t
- 1 Vietnam 0 1000 t compare
- 1 United Kingdom 0 1000 t
- 1 Russia 0 1000 t
- 1 Turkey 0 1000 t
- 1 Syria 0 1000 t
- 1 Cote d'Ivoire 0 1000 t
- 1 United States 0 1000 t
More agriculture & rural data for Cameroon
- Agriculture, forestry, and fishing, value added (current US$), annual 0.9031 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1685 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 332.28 current US$ per person (2025)
- Rural population, annual growth rate 1.98 % change on previous year (2025)
- Rural population, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Rural population, per capita 0.4433 units per person (2025)
- Share of GDP from agriculture 16.8% (2025)
- Agriculture as a share of GDP vs. GDP per capita 16.8% (2025)
- Agricultural raw materials exports 14.9% (2023)
- Agricultural raw materials imports 1.0% (2023)
Frequently asked questions
- What is plantains — residuals in Cameroon?
- Plantains — residuals in Cameroon was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest plantains — residuals recorded in Cameroon?
- The highest recorded value was 253 1000 t in 2016.
- What is the lowest plantains — residuals recorded in Cameroon?
- The lowest recorded value was 0 1000 t in 2019.
- How does Cameroon rank for plantains — residuals?
- Cameroon ranks 1st out of 178 countries with data for 2023.
- Is plantains — residuals rising or falling in Cameroon?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this Cameroon data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Plantains — 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.