Pineapples and products — Stock Variation in Western Africa
Western Africa: Pineapples and products — Stock Variation was -2 1000 t in 2023. ◆ Volatile
Pineapples and products — Stock Variation in Western Africa, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Western Africa recorded -2 1000 t for pineapples and products — stock variation in 2023.
The figure is down 114.3% on the previous year and down 133.3% over ten years.
Over the whole period, pineapples and products — stock variation in Western Africa peaked at 23 1000 t in 2019 and was at its lowest, -19 1000 t, in 2014.
That places Western Africa 24th out of 29 groups with data for 2023, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Pineapples and products — Stock Variation in Western Africa, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | -7 1000 t | — |
| 2011 | -9 1000 t | +28.6% |
| 2012 | -5 1000 t | -44.4% |
| 2013 | 6 1000 t | -220.0% |
| 2014 | -19 1000 t | -416.7% |
| 2015 | 6 1000 t | -131.6% |
| 2016 | 9 1000 t | +50.0% |
| 2017 | 13 1000 t | +44.4% |
| 2018 | 6 1000 t | -53.8% |
| 2019 | 23 1000 t | +283.3% |
| 2020 | 9 1000 t | -60.9% |
| 2021 | 7 1000 t | -22.2% |
| 2022 | 14 1000 t | +100.0% |
| 2023 | -2 1000 t | -114.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 2.3 1000 t | -19 1000 t | 23 1000 t | 10 |
| 2020s | 7 1000 t | -2 1000 t | 14 1000 t | 4 |
Countries ranked near Western Africa
- 24 Tuvalu 0 1000 t
- 24 Naoero 0 1000 t
- 24 Tonga 0 1000 t
- 24 Marshall Islands 0 1000 t compare
- 24 Bhutan 0 1000 t
- 24 Qatar 0 1000 t compare
- 24 Bahrain 0 1000 t compare
- 24 Cuba 0 1000 t compare
- 24 Kiribati 0 1000 t
- 24 Comoros 0 1000 t
- 24 Djibouti 0 1000 t
- 24 Sao Tome and Principe 0 1000 t compare
- 24 Liberia 0 1000 t
- 24 China, Macao SAR 0 1000 t
- 24 Tajikistan 0 1000 t
- 24 Mauritania 0 1000 t compare
- 24 Mongolia 0 1000 t compare
- 24 Saint Kitts and Nevis 0 1000 t
- 24 Solomon Islands 0 1000 t
- 24 Gambia 0 1000 t
- 24 Libya 0 1000 t compare
- 24 Vanuatu 0 1000 t
- 24 Albania 0 1000 t
- 24 Sierra Leone 0 1000 t
- 24 Suriname 0 1000 t compare
- 24 Saint Vincent and the Grenadines 0 1000 t
- 24 Montenegro 0 1000 t compare
- 24 Maldives 0 1000 t compare
- 24 Armenia 0 1000 t
- 24 French Polynesia 0 1000 t compare
- 24 Kuwait 0 1000 t compare
- 24 Seychelles 0 1000 t
- 24 Iceland 0 1000 t
- 24 Samoa 0 1000 t
- 24 Kyrgyzstan 0 1000 t compare
- 24 Grenada 0 1000 t
- 24 Gabon 0 1000 t
- 24 Estonia 0 1000 t compare
- 24 Guyana 0 1000 t compare
- 24 Georgia 0 1000 t
- 24 Saint Lucia 0 1000 t compare
- 24 Bosnia and Herzegovina 0 1000 t compare
- 24 Lithuania 0 1000 t compare
- 24 Eswatini 0 1000 t compare
- 24 Papua New Guinea 0 1000 t
- 24 Guinea 0 1000 t compare
- 24 Haiti 0 1000 t compare
- 24 Angola 0 1000 t compare
- 24 North Macedonia 0 1000 t compare
- 24 Jordan 0 1000 t
- 24 New Caledonia 0 1000 t compare
- 24 Bahamas 0 1000 t compare
- 24 Oman 0 1000 t compare
- 24 Azerbaijan 0 1000 t compare
- 24 Niger 0 1000 t compare
- 24 Congo 0 1000 t compare
- 24 Finland 0 1000 t compare
- 24 Paraguay 0 1000 t
- 24 Algeria 0 1000 t compare
- 24 Belarus 0 1000 t compare
- 24 Iraq 0 1000 t
- 24 Antigua and Barbuda 0 1000 t compare
- 24 Slovakia 0 1000 t compare
- 24 Uruguay 0 1000 t compare
- 24 Ukraine 0 1000 t compare
- 24 Luxembourg 0 1000 t compare
- 24 Namibia 0 1000 t compare
- 24 Latvia 0 1000 t compare
- 24 Barbados 0 1000 t
- 24 Tunisia 0 1000 t compare
- 24 Czechia 0 1000 t compare
- 24 Chile 0 1000 t compare
- 24 Serbia 0 1000 t
- 24 Argentina 0 1000 t compare
- 24 Croatia 0 1000 t compare
- 24 Saudi Arabia 0 1000 t compare
- 24 Burkina Faso 0 1000 t compare
- 24 Norway 0 1000 t compare
- 24 Mauritius 0 1000 t compare
- 24 Panama 0 1000 t compare
- 24 Belize 0 1000 t
- 24 Bulgaria 0 1000 t compare
- 24 Myanmar 0 1000 t compare
- 24 Belgium 0 1000 t compare
- 24 Israel 0 1000 t compare
- 24 China, Hong Kong SAR 0 1000 t compare
- 24 Rwanda 0 1000 t
- 24 Nicaragua 0 1000 t compare
- 24 Yemen 0 1000 t compare
- 24 Portugal 0 1000 t compare
- 24 Switzerland 0 1000 t compare
- 24 Trinidad and Tobago 0 1000 t compare
- 24 Denmark 0 1000 t compare
- 24 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 24 Madagascar 0 1000 t
- 24 Malawi 0 1000 t compare
- 24 Malta 0 1000 t compare
- 24 New Zealand 0 1000 t compare
- 24 Russian Federation 0 1000 t compare
- 24 Fiji 0 1000 t compare
- 24 Canada 0 1000 t compare
- 24 Malaysia 0 1000 t compare
- 24 Mozambique 0 1000 t
- 24 France 0 1000 t compare
- 24 Sweden 0 1000 t compare
- 24 Ghana 0 1000 t compare
- 24 United Arab Emirates 0 1000 t compare
- 24 Ecuador 0 1000 t compare
- 24 Hungary 0 1000 t compare
- 24 Botswana 0 1000 t
- 24 Kazakhstan 0 1000 t compare
- 24 Australia 0 1000 t compare
- 24 Zimbabwe 0 1000 t
- 24 Ethiopia 0 1000 t compare
- 24 Senegal 0 1000 t compare
- 24 Cameroon 0 1000 t
- 24 Cyprus 0 1000 t compare
- 24 Cambodia 0 1000 t
- 24 Italy 0 1000 t compare
- 24 South Africa 0 1000 t compare
- 24 Bangladesh 0 1000 t compare
- 24 Nigeria 0 1000 t compare
- 24 Honduras 0 1000 t compare
- 24 Pakistan 0 1000 t compare
- 24 Costa Rica 0 1000 t compare
- 24 Sri Lanka 0 1000 t
- 24 Uganda 0 1000 t
- 24 Peru 0 1000 t compare
- 24 India 0 1000 t compare
- 24 Brazil 0 1000 t compare
- 24 Mexico 0 1000 t compare
- 24 Australia and New Zealand 0 1000 t compare
- 24 Colombia 0 1000 t compare
- 24 Nepal 0 1000 t compare
More agriculture & rural data for Western Africa
- Tomatoes — Area harvested, annual growth rate -1.36 % change on previous year (2024)
- Tomatoes — Yield, annual growth rate 1.39 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Producing 3.17 % change on previous year (2024)
- Tomatoes — Production, annual growth rate 0.0114 % change on previous year (2024)
- Swine / pigs — Stocks, annual growth rate 2.75 % change on previous year (2024)
- Citrus Fruit, Total — Area harvested 1.02 million ha (2024)
- Fruit Primary — Production 35.55 million t (2024)
- Fruit Primary — Yield 7,426 kg/ha (2024)
- Fruit Primary — Area harvested 4.79 million ha (2024)
- Eggs Primary — Laying 259,970 1000 An (2024)
Frequently asked questions
- What is pineapples and products — stock variation in Western Africa?
- Pineapples and products — stock variation in Western Africa was -2 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest pineapples and products — stock variation recorded in Western Africa?
- The highest recorded value was 23 1000 t in 2019.
- What is the lowest pineapples and products — stock variation recorded in Western Africa?
- The lowest recorded value was -19 1000 t in 2014.
- How does Western Africa rank for pineapples and products — stock variation?
- Western Africa ranks 24th out of 29 groups with data for 2023.
- Is pineapples and products — stock variation rising or falling in Western Africa?
- Over the last ten years it is down 133.3%. 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 Pineapples and products — Stock Variation. Statizoid updates them automatically from the source API.
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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.