Citrus, Other — Stock Variation in Malawi
Malawi: Citrus, Other — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Citrus, Other — Stock Variation in Malawi, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Malawi recorded 0 1000 t for citrus, other — stock variation in 2023. That is the highest value across all 14 years on record.
The figure is up 100.0% over ten years.
Over the whole period, citrus, other — stock variation in Malawi peaked at 0 1000 t in 2010 and was at its lowest, -2 1000 t, in 2013.
Malawi ranks 13th of 175 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Citrus, Other — Stock Variation in Malawi, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | 0 1000 t | — |
| 2011 | 0 1000 t | — |
| 2012 | 0 1000 t | — |
| 2013 | -2 1000 t | — |
| 2014 | 0 1000 t | -100.0% |
| 2015 | 0 1000 t | — |
| 2016 | 0 1000 t | — |
| 2017 | 0 1000 t | — |
| 2018 | 0 1000 t | — |
| 2019 | 0 1000 t | — |
| 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 | -0.2 1000 t | -2 1000 t | 0 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Malawi
- 13 Micronesia (Federated States of) 0 1000 t
- 13 Marshall Islands 0 1000 t
- 13 Qatar 0 1000 t
- 13 Bahrain 0 1000 t
- 13 Cuba 0 1000 t
- 13 Kiribati 0 1000 t
- 13 Comoros 0 1000 t
- 13 Djibouti 0 1000 t
- 13 Sao Tome and Principe 0 1000 t
- 13 Mauritania 0 1000 t compare
- 13 Micronesia 0 1000 t
- 13 China, Macao SAR 0 1000 t
- 13 Tajikistan 0 1000 t
- 13 Mongolia 0 1000 t
- 13 Saint Kitts and Nevis 0 1000 t
- 13 Solomon Islands 0 1000 t
- 13 Vanuatu 0 1000 t
- 13 Albania 0 1000 t
- 13 Libya 0 1000 t
- 13 Suriname 0 1000 t
- 13 Sierra Leone 0 1000 t
- 13 Saint Vincent and the Grenadines 0 1000 t
- 13 Cabo Verde 0 1000 t
- 13 Montenegro 0 1000 t
- 13 Maldives 0 1000 t
- 13 Armenia 0 1000 t
- 13 Iceland 0 1000 t
- 13 Grenada 0 1000 t
- 13 French Polynesia 0 1000 t compare
- 13 Seychelles 0 1000 t
- 13 Samoa 0 1000 t
- 13 Saint Lucia 0 1000 t
- 13 Estonia 0 1000 t
- 13 Guyana 0 1000 t
- 13 Gabon 0 1000 t
- 13 Lithuania 0 1000 t
- 13 Kyrgyzstan 0 1000 t
- 13 Bosnia and Herzegovina 0 1000 t
- 13 Uzbekistan 0 1000 t
- 13 New Caledonia 0 1000 t
- 13 North Macedonia 0 1000 t
- 13 Guinea 0 1000 t
- 13 Republic of Moldova 0 1000 t
- 13 Haiti 0 1000 t
- 13 Jordan 0 1000 t
- 13 Eswatini 0 1000 t
- 13 Angola 0 1000 t
- 13 Papua New Guinea 0 1000 t
- 13 Finland 0 1000 t
- 13 Congo 0 1000 t
- 13 Oman 0 1000 t
- 13 Azerbaijan 0 1000 t
- 13 Paraguay 0 1000 t
- 13 Slovakia 0 1000 t compare
- 13 Algeria 0 1000 t compare
- 13 Antigua and Barbuda 0 1000 t
- 13 Uruguay 0 1000 t
- 13 Belarus 0 1000 t
- 13 Luxembourg 0 1000 t
- 13 Barbados 0 1000 t
- 13 Niger 0 1000 t
- 13 Latvia 0 1000 t
- 13 Ireland 0 1000 t compare
- 13 Tunisia 0 1000 t
- 13 Iraq 0 1000 t
- 13 Czechia 0 1000 t compare
- 13 Croatia 0 1000 t
- 13 Ukraine 0 1000 t
- 13 Chile 0 1000 t
- 13 Argentina 0 1000 t
- 13 Serbia 0 1000 t
- 13 Viet Nam 0 1000 t
- 13 Norway 0 1000 t compare
- 13 Panama 0 1000 t
- 13 Slovenia 0 1000 t
- 13 Burkina Faso 0 1000 t
- 13 Belize 0 1000 t
- 13 Jamaica 0 1000 t
- 13 Belgium 0 1000 t compare
- 13 Bulgaria 0 1000 t
- 13 Mauritius 0 1000 t
- 13 Netherlands (Kingdom of the) 0 1000 t compare
- 13 China, Hong Kong SAR 0 1000 t
- 13 Nicaragua 0 1000 t
- 13 Rwanda 0 1000 t
- 13 Israel 0 1000 t
- 13 Portugal 0 1000 t compare
- 13 Trinidad and Tobago 0 1000 t
- 13 Romania 0 1000 t
- 13 El Salvador 0 1000 t
- 13 Poland 0 1000 t compare
- 13 Denmark 0 1000 t compare
- 13 Switzerland 0 1000 t compare
- 13 Malta 0 1000 t
- 13 Myanmar 0 1000 t
- 13 Yemen 0 1000 t
- 13 New Zealand 0 1000 t compare
- 13 Zambia 0 1000 t
- 13 Fiji 0 1000 t
- 13 Canada 0 1000 t compare
- 13 Democratic Republic of the Congo 0 1000 t
- 13 Madagascar 0 1000 t
- 13 Lebanon 0 1000 t
- 13 Austria 0 1000 t compare
- 13 Malaysia 0 1000 t
- 13 Russian Federation 0 1000 t compare
- 13 France 0 1000 t
- 13 Bolivia (Plurinational State of) 0 1000 t
- 13 Sweden 0 1000 t compare
- 13 Polynesia 0 1000 t compare
- 13 Syrian Arab Republic 0 1000 t compare
- 13 Ecuador 0 1000 t
- 13 Ghana 0 1000 t
- 13 Mozambique 0 1000 t
- 13 Greece 0 1000 t
- 13 United Arab Emirates 0 1000 t compare
- 13 Hungary 0 1000 t compare
- 13 Venezuela (Bolivarian Republic of) 0 1000 t
- 13 Botswana 0 1000 t
- 13 Australia 0 1000 t
- 13 Morocco 0 1000 t
- 13 Kazakhstan 0 1000 t
- 13 Zimbabwe 0 1000 t
- 13 Cyprus 0 1000 t
- 13 Côte d'Ivoire 0 1000 t
- 13 Cameroon 0 1000 t
- 13 Senegal 0 1000 t
- 13 Italy 0 1000 t compare
- 13 South Africa 0 1000 t
- 13 Honduras 0 1000 t
- 13 Ethiopia 0 1000 t compare
- 13 Cambodia 0 1000 t
- 13 Bangladesh 0 1000 t
- 13 Costa Rica 0 1000 t
- 13 Republic of Korea 0 1000 t
- 13 Nigeria 0 1000 t
- 13 Uganda 0 1000 t
- 13 Spain 0 1000 t compare
- 13 Philippines 0 1000 t
- 13 Pakistan 0 1000 t
- 13 Peru 0 1000 t
- 13 Sri Lanka 0 1000 t
- 13 Thailand 0 1000 t
- 13 India 0 1000 t compare
- 13 Mexico 0 1000 t compare
- 13 Brazil 0 1000 t compare
- 13 Guatemala 0 1000 t compare
- 13 Egypt 0 1000 t
- 13 United Republic of Tanzania 0 1000 t
- 13 China, mainland 0 1000 t
- 13 Australia and New Zealand 0 1000 t compare
- 13 Colombia 0 1000 t compare
- 13 Kenya 0 1000 t compare
- 13 Melanesia 0 1000 t
- 13 Nepal 0 1000 t
- 13 Caribbean 0 1000 t
- 13 Moldova 0 1000 t
- 13 Vietnam 0 1000 t
- 13 Russia 0 1000 t compare
- 13 Syria 0 1000 t compare
- 13 Cote d'Ivoire 0 1000 t
- 13 United States 0 1000 t compare
More agriculture & rural data for Malawi
- Agriculture, forestry, and fishing, value added (current US$), annual 24.6 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.3003 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 201.66 current US$ per person (2025)
- Rural population, annual growth rate 2.19 % change on previous year (2025)
- Rural population, per unit of GDP 0.0012 units per US$ of GDP (2025)
- Rural population, per capita 0.8241 units per person (2025)
- Share of GDP from agriculture 30.0% (2025)
- Agriculture as a share of GDP vs. GDP per capita 30.0% (2025)
- Agricultural raw materials exports 0.9% (2024)
- Agricultural raw materials imports 2.7% (2024)
Frequently asked questions
- What is citrus, other — stock variation in Malawi?
- Citrus, other — stock variation in Malawi was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest citrus, other — stock variation recorded in Malawi?
- The highest recorded value was 0 1000 t in 2010.
- What is the lowest citrus, other — stock variation recorded in Malawi?
- The lowest recorded value was -2 1000 t in 2013.
- How does Malawi rank for citrus, other — stock variation?
- Malawi ranks 13th out of 175 countries with data for 2023.
- Is citrus, other — stock variation rising or falling in Malawi?
- Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
- Where does this Malawi data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Citrus, Other — Stock Variation. 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.