Sugar beet — Residuals in Northern Africa
Northern Africa: Sugar beet — Residuals was 0 1000 t in 2023. ◆ Volatile
Sugar beet — Residuals in Northern Africa, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, sugar beet — residuals in Northern Africa stood at 0 1000 t.
Over the whole period, sugar beet — residuals in Northern Africa peaked at 53 1000 t in 2020 and was at its lowest, -152 1000 t, in 2019.
That places Northern Africa 1st out of 30 groups 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.
Sugar beet — Residuals in Northern Africa, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | 0 1000 t | — |
| 2011 | 0 1000 t | — |
| 2012 | 0 1000 t | — |
| 2013 | 0 1000 t | — |
| 2014 | 0 1000 t | — |
| 2015 | -41 1000 t | — |
| 2016 | -68 1000 t | +65.9% |
| 2017 | -77 1000 t | +13.2% |
| 2018 | 0 1000 t | -100.0% |
| 2019 | -152 1000 t | — |
| 2020 | 53 1000 t | -134.9% |
| 2021 | 0 1000 t | -100.0% |
| 2022 | 0 1000 t | — |
| 2023 | 0 1000 t | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -33.8 1000 t | -152 1000 t | 0 1000 t | 10 |
| 2020s | 13.25 1000 t | 0 1000 t | 53 1000 t | 4 |
Countries ranked near Northern Africa
- 1 Marshall Islands 0 1000 t
- 1 Bahrain 0 1000 t
- 1 Kiribati 0 1000 t
- 1 Turkmenistan 0 1000 t compare
- 1 Libya 0 1000 t
- 1 Afghanistan 0 1000 t compare
- 1 Solomon Islands 0 1000 t
- 1 Albania 0 1000 t
- 1 Micronesia 0 1000 t
- 1 Uzbekistan 0 1000 t
- 1 Jordan 0 1000 t
- 1 Armenia 0 1000 t
- 1 Argentina 0 1000 t
- 1 Lesotho 0 1000 t
- 1 North Macedonia 0 1000 t
- 1 Israel 0 1000 t
- 1 Seychelles 0 1000 t
- 1 Montenegro 0 1000 t
- 1 Bahamas 0 1000 t
- 1 Iceland 0 1000 t
- 1 Bosnia and Herzegovina 0 1000 t
- 1 Kyrgyzstan 0 1000 t compare
- 1 Estonia 0 1000 t
- 1 Gambia 0 1000 t
- 1 Algeria 0 1000 t
- 1 Barbados 0 1000 t
- 1 Croatia 0 1000 t compare
- 1 Georgia 0 1000 t
- 1 Kuwait 0 1000 t
- 1 Finland 0 1000 t
- 1 Iraq 0 1000 t
- 1 Ireland 0 1000 t compare
- 1 China, Hong Kong SAR 0 1000 t
- 1 Chile 0 1000 t compare
- 1 Azerbaijan 0 1000 t compare
- 1 Sierra Leone 0 1000 t
- 1 Angola 0 1000 t
- 1 Samoa 0 1000 t
- 1 Maldives 0 1000 t
- 1 Luxembourg 0 1000 t
- 1 Bulgaria 0 1000 t
- 1 Tunisia 0 1000 t compare
- 1 Eswatini 0 1000 t
- 1 Lithuania 0 1000 t
- 1 Malta 0 1000 t
- 1 Belgium 0 1000 t compare
- 1 Türkiye 0 1000 t
- 1 Czechia 0 1000 t compare
- 1 Iran (Islamic Republic of) 0 1000 t
- 1 Greece 0 1000 t compare
- 1 Syrian Arab Republic 0 1000 t compare
- 1 Republic of Moldova 0 1000 t
- 1 Norway 0 1000 t
- 1 Slovakia 0 1000 t compare
- 1 Uruguay 0 1000 t
- 1 Viet Nam 0 1000 t
- 1 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 1 Dominican Republic 0 1000 t
- 1 Poland 0 1000 t compare
- 1 Slovenia 0 1000 t compare
- 1 Saudi Arabia 0 1000 t
- 1 Belarus 0 1000 t
- 1 Congo 0 1000 t
- 1 Nicaragua 0 1000 t
- 1 Serbia 0 1000 t
- 1 Fiji 0 1000 t
- 1 United Arab Emirates 0 1000 t
- 1 Cyprus 0 1000 t
- 1 Oman 0 1000 t
- 1 Jamaica 0 1000 t
- 1 Romania 0 1000 t compare
- 1 Hungary 0 1000 t
- 1 Yemen 0 1000 t
- 1 Austria 0 1000 t compare
- 1 Costa Rica 0 1000 t
- 1 Lebanon 0 1000 t
- 1 Netherlands (Kingdom of the) 0 1000 t compare
- 1 Denmark 0 1000 t compare
- 1 Malaysia 0 1000 t compare
- 1 Burkina Faso 0 1000 t
- 1 Switzerland 0 1000 t compare
- 1 Venezuela (Bolivarian Republic of) 0 1000 t
- 1 Italy 0 1000 t compare
- 1 Niger 0 1000 t
- 1 Canada 0 1000 t compare
- 1 France 0 1000 t compare
- 1 Bangladesh 0 1000 t
- 1 Ecuador 0 1000 t
- 1 Zambia 0 1000 t
- 1 Germany 0 1000 t compare
- 1 Portugal 0 1000 t compare
- 1 Polynesia 0 1000 t
- 1 New Zealand 0 1000 t
- 1 Australia 0 1000 t
- 1 Namibia 0 1000 t
- 1 Guatemala 0 1000 t
- 1 Sweden 0 1000 t
- 1 Morocco 0 1000 t compare
- 1 Peru 0 1000 t
- 1 Zimbabwe 0 1000 t
- 1 Mozambique 0 1000 t
- 1 Rwanda 0 1000 t
- 1 Republic of Korea 0 1000 t
- 1 India 0 1000 t
- 1 Kazakhstan 0 1000 t compare
- 1 Ethiopia 0 1000 t
- 1 China, Taiwan Province of 0 1000 t
- 1 Botswana 0 1000 t
- 1 Mexico 0 1000 t
- 1 Ukraine 0 1000 t compare
- 1 Brazil 0 1000 t
- 1 Sri Lanka 0 1000 t
- 1 Spain 0 1000 t compare
- 1 China, mainland 0 1000 t
- 1 Senegal 0 1000 t
- 1 Thailand 0 1000 t
- 1 Democratic Republic of the Congo 0 1000 t
- 1 Ghana 0 1000 t
- 1 Indonesia 0 1000 t
- 1 Côte d'Ivoire 0 1000 t
- 1 Uganda 0 1000 t
- 1 Pakistan 0 1000 t compare
- 1 Colombia 0 1000 t
- 1 South Africa 0 1000 t compare
- 1 Nigeria 0 1000 t compare
- 1 Russian Federation 0 1000 t compare
- 1 Nepal 0 1000 t
- 1 Egypt 0 1000 t
- 1 United Republic of Tanzania 0 1000 t
- 1 Australia and New Zealand 0 1000 t
- 1 Kenya 0 1000 t
- 1 Melanesia 0 1000 t
- 1 China 0 1000 t
- 1 Caribbean 0 1000 t
- 1 Turkey 0 1000 t
- 1 Syria 0 1000 t compare
- 1 Moldova 0 1000 t
- 1 Vietnam 0 1000 t
- 1 United Kingdom 0 1000 t compare
- 1 United States 0 1000 t compare
- 1 Cote d'Ivoire 0 1000 t
- 1 Russia 0 1000 t compare
More agriculture & rural data for Northern Africa
- Non Food — Gross Production Value (constant 2014-2016 thousand I$) 0.3611 % change on previous year (2024)
- Meat of sheep, fresh or chilled — Producing Animals/Slaughtered 0.2048 % change on previous year (2024)
- Onions and shallots, dry (excluding dehydrated) — Area harvested 4.31 % change on previous year (2024)
- Onions and shallots, dry (excluding dehydrated) — Yield, annual 0.5578 % change on previous year (2024)
- Onions and shallots, dry (excluding dehydrated) — Production, annual 4.89 % change on previous year (2024)
- Other fruits, n.e.c. — Area harvested, annual growth rate 1.01 % change on previous year (2024)
- Other fruits, n.e.c. — Production, annual growth rate 1.31 % change on previous year (2024)
- Other fruits, n.e.c. — Yield, annual growth rate 0.3026 % change on previous year (2024)
- Meat of sheep, fresh or chilled — Production, annual growth rate -2.49 % change on previous year (2024)
- Milk, Total — Gross Production Value (constant 2014-2016 thousand) 2.89 % change on previous year (2024)
Frequently asked questions
- What is sugar beet — residuals in Northern Africa?
- Sugar beet — residuals in Northern Africa was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sugar beet — residuals recorded in Northern Africa?
- The highest recorded value was 53 1000 t in 2020.
- What is the lowest sugar beet — residuals recorded in Northern Africa?
- The lowest recorded value was -152 1000 t in 2019.
- How does Northern Africa rank for sugar beet — residuals?
- Northern Africa ranks 1st out of 30 groups with data for 2023.
- Where does this Northern Africa data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sugar beet — Residuals. 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.