Beans — Stock Variation in Malawi
Malawi: Beans — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Beans — Stock Variation in Malawi, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, beans — stock variation in Malawi stood at 0 1000 t.
That represents a change of down 100.0% over ten years.
Over the whole period, beans — stock variation in Malawi peaked at 28 1000 t in 2012 and was at its lowest, -9 1000 t, in 2016.
That places Malawi 41st out of 188 countries with data for 2023, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Beans — Stock Variation in Malawi, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | -1 1000 t | — |
| 2011 | 1 1000 t | -200.0% |
| 2012 | 28 1000 t | +2700.0% |
| 2013 | 22 1000 t | -21.4% |
| 2014 | 16 1000 t | -27.3% |
| 2015 | 12 1000 t | -25.0% |
| 2016 | -9 1000 t | -175.0% |
| 2017 | 9 1000 t | -200.0% |
| 2018 | -2 1000 t | -122.2% |
| 2019 | 28 1000 t | -1500.0% |
| 2020 | 15 1000 t | -46.4% |
| 2021 | 14 1000 t | -6.7% |
| 2022 | 0 1000 t | -100.0% |
| 2023 | 0 1000 t | — |
Biggest year-on-year movements
Years where Beans — Stock Variation in Malawi changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2012 | +2700.0% | 1 1000 t | 28 1000 t |
| 2019 | +1500.0% | -2 1000 t | 28 1000 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 10.4 1000 t | -9 1000 t | 28 1000 t | 10 |
| 2020s | 7.25 1000 t | 0 1000 t | 15 1000 t | 4 |
Countries ranked near Malawi
- 41 Micronesia (Federated States of) 0 1000 t
- 41 Tuvalu 0 1000 t
- 41 Tonga 0 1000 t
- 41 Marshall Islands 0 1000 t compare
- 41 Bhutan 0 1000 t
- 41 Qatar 0 1000 t compare
- 41 Bahrain 0 1000 t
- 41 Democratic People's Republic of Korea 0 1000 t compare
- 41 Cuba 0 1000 t compare
- 41 Sao Tome and Principe 0 1000 t
- 41 Comoros 0 1000 t
- 41 Timor-Leste 0 1000 t
- 41 Solomon Islands 0 1000 t
- 41 Saint Kitts and Nevis 0 1000 t
- 41 Guinea-Bissau 0 1000 t compare
- 41 China, Macao SAR 0 1000 t
- 41 Vanuatu 0 1000 t
- 41 Mongolia 0 1000 t
- 41 Micronesia 0 1000 t compare
- 41 Mauritania 0 1000 t compare
- 41 Cabo Verde 0 1000 t compare
- 41 Uzbekistan 0 1000 t
- 41 Saint Vincent and the Grenadines 0 1000 t
- 41 Jordan 0 1000 t compare
- 41 French Polynesia 0 1000 t
- 41 Armenia 0 1000 t compare
- 41 Seychelles 0 1000 t
- 41 Suriname 0 1000 t
- 41 Kuwait 0 1000 t compare
- 41 Grenada 0 1000 t
- 41 Bahamas 0 1000 t
- 41 North Macedonia 0 1000 t compare
- 41 Israel 0 1000 t compare
- 41 Montenegro 0 1000 t compare
- 41 Iceland 0 1000 t
- 41 Saint Lucia 0 1000 t
- 41 Georgia 0 1000 t compare
- 41 Barbados 0 1000 t
- 41 Estonia 0 1000 t compare
- 41 Gambia 0 1000 t
- 41 Maldives 0 1000 t
- 41 Mauritius 0 1000 t
- 41 Luxembourg 0 1000 t
- 41 Sierra Leone 0 1000 t compare
- 41 Antigua and Barbuda 0 1000 t
- 41 China, Hong Kong SAR 0 1000 t compare
- 41 Algeria 0 1000 t compare
- 41 Samoa 0 1000 t
- 41 Finland 0 1000 t
- 41 Tunisia 0 1000 t compare
- 41 Ireland 0 1000 t compare
- 41 Azerbaijan 0 1000 t compare
- 41 Gabon 0 1000 t
- 41 Eswatini 0 1000 t compare
- 41 Guyana 0 1000 t
- 41 Bulgaria 0 1000 t compare
- 41 Trinidad and Tobago 0 1000 t compare
- 41 Latvia 0 1000 t compare
- 41 Malta 0 1000 t
- 41 New Caledonia 0 1000 t
- 41 Belgium 0 1000 t compare
- 41 Congo 0 1000 t compare
- 41 Republic of Moldova 0 1000 t compare
- 41 Lithuania 0 1000 t compare
- 41 Iran (Islamic Republic of) 0 1000 t compare
- 41 Syrian Arab Republic 0 1000 t compare
- 41 Czechia 0 1000 t
- 41 Slovakia 0 1000 t compare
- 41 Uruguay 0 1000 t
- 41 Greece 0 1000 t compare
- 41 Papua New Guinea 0 1000 t
- 41 Slovenia 0 1000 t compare
- 41 Saudi Arabia 0 1000 t compare
- 41 Belarus 0 1000 t compare
- 41 El Salvador 0 1000 t compare
- 41 Serbia 0 1000 t compare
- 41 Oman 0 1000 t compare
- 41 Lao People's Democratic Republic 0 1000 t compare
- 41 Poland 0 1000 t compare
- 41 Malaysia 0 1000 t compare
- 41 Romania 0 1000 t compare
- 41 Fiji 0 1000 t
- 41 Jamaica 0 1000 t compare
- 41 Norway 0 1000 t
- 41 Niger 0 1000 t compare
- 41 Yemen 0 1000 t compare
- 41 Burkina Faso 0 1000 t
- 41 Belize 0 1000 t compare
- 41 Haiti 0 1000 t compare
- 41 Austria 0 1000 t
- 41 Denmark 0 1000 t
- 41 Switzerland 0 1000 t
- 41 Panama 0 1000 t compare
- 41 Bolivia (Plurinational State of) 0 1000 t compare
- 41 Italy 0 1000 t compare
- 41 Madagascar 0 1000 t compare
- 41 Portugal 0 1000 t compare
- 41 Cyprus 0 1000 t
- 41 Polynesia 0 1000 t
- 41 Morocco 0 1000 t compare
- 41 Sweden 0 1000 t
- 41 Namibia 0 1000 t compare
- 41 New Zealand 0 1000 t compare
- 41 Rwanda 0 1000 t compare
- 41 Costa Rica 0 1000 t compare
- 41 Ecuador 0 1000 t compare
- 41 Honduras 0 1000 t compare
- 41 Germany 0 1000 t compare
- 41 Botswana 0 1000 t compare
- 41 Ethiopia 0 1000 t compare
- 41 China, Taiwan Province of 0 1000 t compare
- 41 Côte d'Ivoire 0 1000 t compare
- 41 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 41 Spain 0 1000 t compare
- 41 South Africa 0 1000 t compare
- 41 Peru 0 1000 t compare
- 41 Thailand 0 1000 t compare
- 41 Uganda 0 1000 t
- 41 Sri Lanka 0 1000 t compare
- 41 Nigeria 0 1000 t compare
- 41 Indonesia 0 1000 t compare
- 41 Melanesia 0 1000 t
- 41 Nepal 0 1000 t compare
- 41 East Timor 0 1000 t
- 41 Moldova 0 1000 t compare
- 41 Syria 0 1000 t compare
- 41 Laos 0 1000 t compare
- 41 Cote d'Ivoire 0 1000 t compare
- 41 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 beans — stock variation in Malawi?
- Beans — stock variation in Malawi was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest beans — stock variation recorded in Malawi?
- The highest recorded value was 28 1000 t in 2012.
- What is the lowest beans — stock variation recorded in Malawi?
- The lowest recorded value was -9 1000 t in 2016.
- How does Malawi rank for beans — stock variation?
- Malawi ranks 41st out of 188 countries with data for 2023.
- Is beans — stock variation rising or falling in Malawi?
- Over the last ten years it is down 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 Beans — 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.