Starchy Roots — Residuals in Western Africa
Western Africa: Starchy Roots — Residuals was 9,502 1000 t in 2023. ◆ Volatile
Starchy Roots — Residuals in Western Africa, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, starchy roots — residuals in Western Africa stood at 9,502 1000 t.
Compared with earlier readings it is down 4.0% on the previous year and up 73,192.3% over ten years.
Over the whole period, starchy roots — residuals in Western Africa peaked at 20,165 1000 t in 2017 and was at its lowest, -30 1000 t, in 2012.
Western Africa ranks 1st of 39 groups 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 | 10,269 1000 t | -30 1000 t | 20,165 1000 t | 10 |
| 2020s | 8,299 1000 t | 6,034 1000 t | 9,901 1000 t | 4 |
Countries ranked near Western Africa
- 1 Nigeria 9,514 1000 t compare
- 2 Armenia 1 1000 t compare
- 3 Nauru 0 1000 t
- 3 Tuvalu 0 1000 t
- 3 Marshall Islands 0 1000 t
- 3 Tonga 0 1000 t compare
- 3 Bhutan 0 1000 t
- 3 Bahrain 0 1000 t
- 3 Qatar 0 1000 t
- 3 Cuba 0 1000 t
- 3 Comoros 0 1000 t
- 3 Kiribati 0 1000 t
- 3 China, Macao SAR 0 1000 t
- 3 Liberia 0 1000 t
- 3 Saint Kitts and Nevis 0 1000 t
- 3 Sao Tome and Principe 0 1000 t
- 3 Djibouti 0 1000 t
- 3 Samoa 0 1000 t
- 3 Saint Vincent and the Grenadines 0 1000 t
- 3 Grenada 0 1000 t
- 3 Suriname 0 1000 t compare
- 3 French Polynesia 0 1000 t
- 3 Gabon 0 1000 t
- 3 Vanuatu 0 1000 t
- 3 Barbados 0 1000 t
- 3 China, Hong Kong SAR 0 1000 t compare
- 3 Guyana 0 1000 t compare
- 3 Congo 0 1000 t
- 3 Libya 0 1000 t
- 3 Saint Lucia 0 1000 t
- 3 Iceland 0 1000 t
- 3 Kuwait 0 1000 t
- 3 Mongolia 0 1000 t
- 3 Seychelles 0 1000 t
- 3 Turkmenistan 0 1000 t
- 3 Haiti 0 1000 t compare
- 3 Dominican Republic 0 1000 t compare
- 3 Malaysia 0 1000 t compare
- 3 Jordan 0 1000 t compare
- 3 Mauritius 0 1000 t compare
- 3 Maldives 0 1000 t
- 3 Albania 0 1000 t compare
- 3 Trinidad and Tobago 0 1000 t
- 3 Panama 0 1000 t compare
- 3 Paraguay 0 1000 t
- 3 Papua New Guinea 0 1000 t
- 3 Antigua and Barbuda 0 1000 t
- 3 Cambodia 0 1000 t compare
- 3 Guinea 0 1000 t compare
- 3 Argentina 0 1000 t
- 3 Philippines 0 1000 t compare
- 3 Iraq 0 1000 t
- 3 Jamaica 0 1000 t compare
- 3 El Salvador 0 1000 t
- 3 Nicaragua 0 1000 t compare
- 3 Oman 0 1000 t
- 3 Finland 0 1000 t compare
- 3 Israel 0 1000 t
- 3 Lebanon 0 1000 t
- 3 Malta 0 1000 t
- 3 Gambia 0 1000 t
- 3 Lesotho 0 1000 t
- 3 Angola 0 1000 t
- 3 Algeria 0 1000 t
- 3 Eswatini 0 1000 t
- 3 Mauritania 0 1000 t
- 3 Belarus 0 1000 t compare
- 3 Norway 0 1000 t compare
- 3 Ireland 0 1000 t compare
- 3 Georgia 0 1000 t
- 3 Chile 0 1000 t
- 3 Denmark 0 1000 t compare
- 3 Belize 0 1000 t
- 3 Belgium 0 1000 t compare
- 3 Croatia 0 1000 t
- 3 Azerbaijan 0 1000 t
- 3 Montenegro 0 1000 t
- 3 New Caledonia 0 1000 t compare
- 3 Bosnia and Herzegovina 0 1000 t
- 3 Estonia 0 1000 t
- 3 Brazil 0 1000 t compare
- 3 Luxembourg 0 1000 t
- 3 Burkina Faso 0 1000 t compare
- 3 Tajikistan 0 1000 t compare
- 3 New Zealand 0 1000 t compare
- 3 North Macedonia 0 1000 t
- 3 Kyrgyzstan 0 1000 t
- 3 Lithuania 0 1000 t compare
- 3 Uruguay 0 1000 t
- 3 Saudi Arabia 0 1000 t compare
- 3 Thailand 0 1000 t compare
- 3 Poland 0 1000 t compare
- 3 Canada 0 1000 t compare
- 3 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 3 Serbia 0 1000 t
- 3 Peru 0 1000 t
- 3 Tunisia 0 1000 t compare
- 3 Niger 0 1000 t
- 3 Ghana 0 1000 t compare
- 3 Namibia 0 1000 t
- 3 Italy 0 1000 t
- 3 Slovenia 0 1000 t compare
- 3 Greece 0 1000 t
- 3 Austria 0 1000 t compare
- 3 Guatemala 0 1000 t compare
- 3 Mexico 0 1000 t compare
- 3 Slovak Republic 0 1000 t compare
- 3 Hungary 0 1000 t
- 3 Uzbekistan 0 1000 t
- 3 Pakistan 0 1000 t
- 3 Botswana 0 1000 t
- 3 Yemen 0 1000 t compare
- 3 Sri Lanka 0 1000 t compare
- 3 Australia 0 1000 t
- 3 Senegal 0 1000 t
- 3 Romania 0 1000 t
- 3 Rwanda 0 1000 t compare
- 3 Germany 0 1000 t compare
- 3 Switzerland 0 1000 t
- 3 Uganda 0 1000 t compare
- 3 Zimbabwe 0 1000 t
- 3 Nepal 0 1000 t
- 3 Morocco 0 1000 t compare
- 3 Kazakhstan 0 1000 t
- 3 Australia and New Zealand 0 1000 t compare
- 3 Ukraine 0 1000 t compare
More agriculture & rural data for Western Africa
- Fat of pigs — Producing Animals/Slaughtered 14.80 million An (2024)
- Edible offal of pigs, fresh, chilled or frozen — Producing 14.80 million An (2024)
- Unmanufactured tobacco — Production 24,181 t (2024)
- Tomatoes — Area harvested 1.05 million ha (2024)
- Unmanufactured tobacco — Area harvested 39,728 ha (2024)
- Fat of pigs — Production 50,778 t (2024)
- Meat of pig with the bone, fresh or chilled — Yield/Carcass Weight 48 kg/An (2024)
- Tomatoes — Yield 6,608 kg/ha (2024)
- Tomatoes — Production 6.91 million t (2024)
- Edible offal of pigs, fresh, chilled or frozen — Production 39,798 t (2024)
Frequently asked questions
- What is starchy roots — residuals in Western Africa?
- Starchy roots — residuals in Western Africa was 9,502 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest starchy roots — residuals recorded in Western Africa?
- The highest recorded value was 20,165 1000 t in 2017.
- What is the lowest starchy roots — residuals recorded in Western Africa?
- The lowest recorded value was -30 1000 t in 2012.
- How does Western Africa rank for starchy roots — residuals?
- Western Africa ranks 1st out of 39 groups with data for 2023.
- Is starchy roots — residuals rising or falling in Western Africa?
- Over the last ten years it is up 73,192.3%. The long-run trend across the full record is volatile.
- Where does this Western Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Starchy Roots — 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.