Tomatoes and products — Stock Variation in Congo
Congo: Tomatoes and products — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Tomatoes and products — Stock Variation in Congo, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
Congo recorded 0 1000 t for tomatoes and products — stock variation in 2023.
Over the whole period, tomatoes and products — stock variation in Congo peaked at 1 1000 t in 2016 and was at its lowest, -1 1000 t, in 2010.
Congo ranks 33rd of 186 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Tomatoes and products — Stock Variation in Congo, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | -1 1000 t | — |
| 2011 | 0 1000 t | -100.0% |
| 2012 | 0 1000 t | — |
| 2013 | 0 1000 t | — |
| 2014 | 0 1000 t | — |
| 2015 | 0 1000 t | — |
| 2016 | 1 1000 t | — |
| 2017 | -1 1000 t | -200.0% |
| 2018 | 0 1000 t | -100.0% |
| 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 | -0.1 1000 t | -1 1000 t | 1 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Congo
- 33 Tuvalu 0 1000 t
- 33 Nauru 0 1000 t
- 33 Tonga 0 1000 t
- 33 Marshall Islands 0 1000 t
- 33 Bhutan 0 1000 t
- 33 Qatar 0 1000 t compare
- 33 Bahrain 0 1000 t compare
- 33 Cuba 0 1000 t
- 33 Kiribati 0 1000 t
- 33 Timor-Leste 0 1000 t
- 33 Comoros 0 1000 t
- 33 Djibouti 0 1000 t
- 33 Sao Tome and Principe 0 1000 t
- 33 Micronesia 0 1000 t
- 33 Tajikistan 0 1000 t
- 33 Mauritania 0 1000 t compare
- 33 China, Macao SAR 0 1000 t
- 33 Saint Kitts and Nevis 0 1000 t
- 33 Mongolia 0 1000 t compare
- 33 Solomon Islands 0 1000 t
- 33 Albania 0 1000 t compare
- 33 Vanuatu 0 1000 t
- 33 Saint Vincent and the Grenadines 0 1000 t
- 33 Libya 0 1000 t
- 33 Suriname 0 1000 t
- 33 Cabo Verde 0 1000 t
- 33 French Polynesia 0 1000 t
- 33 Grenada 0 1000 t
- 33 Maldives 0 1000 t
- 33 Sierra Leone 0 1000 t
- 33 Armenia 0 1000 t
- 33 Iceland 0 1000 t
- 33 Lao People's Democratic Republic 0 1000 t
- 33 Saint Lucia 0 1000 t
- 33 Gambia 0 1000 t compare
- 33 Seychelles 0 1000 t
- 33 Samoa 0 1000 t
- 33 Guyana 0 1000 t
- 33 Georgia 0 1000 t
- 33 Uzbekistan 0 1000 t compare
- 33 Kyrgyzstan 0 1000 t
- 33 Bosnia and Herzegovina 0 1000 t compare
- 33 Bahamas 0 1000 t
- 33 Gabon 0 1000 t compare
- 33 Jordan 0 1000 t
- 33 Haiti 0 1000 t
- 33 North Macedonia 0 1000 t compare
- 33 Eswatini 0 1000 t
- 33 Republic of Moldova 0 1000 t compare
- 33 New Caledonia 0 1000 t
- 33 Finland 0 1000 t compare
- 33 Antigua and Barbuda 0 1000 t
- 33 Azerbaijan 0 1000 t
- 33 Guinea 0 1000 t
- 33 Oman 0 1000 t compare
- 33 Algeria 0 1000 t compare
- 33 Paraguay 0 1000 t
- 33 Barbados 0 1000 t
- 33 Uruguay 0 1000 t compare
- 33 Luxembourg 0 1000 t compare
- 33 Angola 0 1000 t compare
- 33 Tunisia 0 1000 t compare
- 33 Belarus 0 1000 t compare
- 33 Papua New Guinea 0 1000 t
- 33 Croatia 0 1000 t compare
- 33 Niger 0 1000 t
- 33 Iraq 0 1000 t
- 33 Argentina 0 1000 t compare
- 33 Chile 0 1000 t compare
- 33 Jamaica 0 1000 t compare
- 33 Namibia 0 1000 t compare
- 33 Serbia 0 1000 t
- 33 Belgium 0 1000 t compare
- 33 Belize 0 1000 t
- 33 Netherlands (Kingdom of the) 0 1000 t compare
- 33 Mauritius 0 1000 t compare
- 33 Bulgaria 0 1000 t compare
- 33 Panama 0 1000 t compare
- 33 Israel 0 1000 t compare
- 33 Portugal 0 1000 t compare
- 33 Rwanda 0 1000 t
- 33 Romania 0 1000 t compare
- 33 Malta 0 1000 t compare
- 33 Trinidad and Tobago 0 1000 t
- 33 Nicaragua 0 1000 t
- 33 Poland 0 1000 t compare
- 33 El Salvador 0 1000 t compare
- 33 Burkina Faso 0 1000 t
- 33 Denmark 0 1000 t compare
- 33 Switzerland 0 1000 t compare
- 33 Lebanon 0 1000 t
- 33 Fiji 0 1000 t compare
- 33 Yemen 0 1000 t
- 33 Malawi 0 1000 t
- 33 New Zealand 0 1000 t compare
- 33 Polynesia 0 1000 t
- 33 Zambia 0 1000 t
- 33 Türkiye 0 1000 t compare
- 33 Madagascar 0 1000 t
- 33 Malaysia 0 1000 t compare
- 33 France 0 1000 t compare
- 33 Democratic Republic of the Congo 0 1000 t
- 33 Bolivia (Plurinational State of) 0 1000 t
- 33 Hungary 0 1000 t compare
- 33 Syrian Arab Republic 0 1000 t compare
- 33 Russian Federation 0 1000 t compare
- 33 Cyprus 0 1000 t
- 33 Ecuador 0 1000 t
- 33 China, Taiwan Province of 0 1000 t compare
- 33 Mozambique 0 1000 t
- 33 Ghana 0 1000 t compare
- 33 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 33 Australia 0 1000 t compare
- 33 Morocco 0 1000 t compare
- 33 Myanmar 0 1000 t
- 33 Botswana 0 1000 t
- 33 Honduras 0 1000 t
- 33 Cameroon 0 1000 t
- 33 Italy 0 1000 t compare
- 33 Senegal 0 1000 t
- 33 Costa Rica 0 1000 t compare
- 33 Côte d'Ivoire 0 1000 t
- 33 Cambodia 0 1000 t
- 33 Ethiopia 0 1000 t compare
- 33 Bangladesh 0 1000 t
- 33 Spain 0 1000 t compare
- 33 Republic of Korea 0 1000 t compare
- 33 Philippines 0 1000 t compare
- 33 Pakistan 0 1000 t
- 33 Peru 0 1000 t
- 33 Nigeria 0 1000 t
- 33 Uganda 0 1000 t
- 33 Sri Lanka 0 1000 t
- 33 Egypt 0 1000 t compare
- 33 Guatemala 0 1000 t
- 33 Mexico 0 1000 t compare
- 33 United Republic of Tanzania 0 1000 t
- 33 Australia and New Zealand 0 1000 t compare
- 33 Kenya 0 1000 t compare
- 33 Melanesia 0 1000 t compare
- 33 Nepal 0 1000 t compare
- 33 Caribbean 0 1000 t compare
- 33 Nauru 0 1000 t
- 33 East Timor 0 1000 t
- 33 Laos 0 1000 t
- 33 Moldova 0 1000 t compare
- 33 Turkey 0 1000 t compare
- 33 Syria 0 1000 t compare
- 33 Russia 0 1000 t compare
- 33 Cote d'Ivoire 0 1000 t
- 33 United States 0 1000 t compare
More agriculture & rural data for Congo
- Agriculture, forestry, and fishing, value added (current US$), annual 11.08 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1011 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 254.21 current US$ per person (2025)
- Rural population, annual growth rate 1.72 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.3588 units per person (2025)
- Share of GDP from agriculture 10.1% (2025)
- Agriculture as a share of GDP vs. GDP per capita 10.1% (2025)
- Agricultural raw materials exports 2.4% (2023)
- Agricultural raw materials imports 1.0% (2023)
Frequently asked questions
- What is tomatoes and products — stock variation in Congo?
- Tomatoes and products — stock variation in Congo was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest tomatoes and products — stock variation recorded in Congo?
- The highest recorded value was 1 1000 t in 2016.
- What is the lowest tomatoes and products — stock variation recorded in Congo?
- The lowest recorded value was -1 1000 t in 2010.
- How does Congo rank for tomatoes and products — stock variation?
- Congo ranks 33rd out of 186 countries with data for 2023.
- Where does this Congo data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Tomatoes and products — 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.