Millet and products — Residuals in South America
South America: Millet and products — Residuals was 0 1000 t in 2023. ◆ Volatile
Millet and products — Residuals in South America, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
South America recorded 0 1000 t for millet and products — residuals in 2023. That is the highest value across all 14 years on record.
Compared with earlier readings it is up 100.0% over ten years.
Over the whole period, millet and products — residuals in South America peaked at 0 1000 t in 2010 and was at its lowest, -1 1000 t, in 2013.
That places South America 1st out of 29 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.
Millet and products — Residuals in South America, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | 0 1000 t | — |
| 2011 | 0 1000 t | — |
| 2012 | 0 1000 t | — |
| 2013 | -1 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 | -0.1 1000 t | -1 1000 t | 0 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near South America
- 1 Bahrain 0 1000 t
- 1 Bhutan 0 1000 t
- 1 Qatar 0 1000 t
- 1 Cuba 0 1000 t
- 1 China, Macao SAR 0 1000 t
- 1 Djibouti 0 1000 t
- 1 Liberia 0 1000 t
- 1 Guinea-Bissau 0 1000 t
- 1 Sao Tome and Principe 0 1000 t
- 1 Guinea 0 1000 t
- 1 Afghanistan 0 1000 t
- 1 Samoa 0 1000 t
- 1 Vanuatu 0 1000 t
- 1 Papua New Guinea 0 1000 t
- 1 Haiti 0 1000 t
- 1 Gabon 0 1000 t
- 1 Antigua and Barbuda 0 1000 t
- 1 Dominican Republic 0 1000 t
- 1 French Polynesia 0 1000 t
- 1 China, Hong Kong SAR 0 1000 t
- 1 Gambia 0 1000 t
- 1 Barbados 0 1000 t
- 1 Kuwait 0 1000 t
- 1 Paraguay 0 1000 t
- 1 Saint Vincent and the Grenadines 0 1000 t
- 1 Congo 0 1000 t
- 1 Bahamas 0 1000 t
- 1 Angola 0 1000 t
- 1 Nicaragua 0 1000 t
- 1 Suriname 0 1000 t
- 1 Lesotho 0 1000 t
- 1 Belize 0 1000 t
- 1 Seychelles 0 1000 t
- 1 Mongolia 0 1000 t
- 1 Libya 0 1000 t
- 1 Burkina Faso 0 1000 t compare
- 1 Myanmar 0 1000 t
- 1 Maldives 0 1000 t
- 1 Costa Rica 0 1000 t
- 1 Fiji 0 1000 t
- 1 Iceland 0 1000 t
- 1 El Salvador 0 1000 t
- 1 Sierra Leone 0 1000 t
- 1 Jordan 0 1000 t
- 1 Saint Lucia 0 1000 t
- 1 Cambodia 0 1000 t
- 1 Guyana 0 1000 t
- 1 Malaysia 0 1000 t
- 1 Mauritania 0 1000 t
- 1 Algeria 0 1000 t
- 1 Jamaica 0 1000 t
- 1 Panama 0 1000 t
- 1 Turkmenistan 0 1000 t
- 1 Eswatini 0 1000 t
- 1 Madagascar 0 1000 t
- 1 Argentina 0 1000 t
- 1 Cameroon 0 1000 t
- 1 Mauritius 0 1000 t
- 1 Saudi Arabia 0 1000 t
- 1 China, Taiwan Province of 0 1000 t
- 1 Tunisia 0 1000 t
- 1 Honduras 0 1000 t
- 1 Trinidad and Tobago 0 1000 t
- 1 Armenia 0 1000 t
- 1 Niger 0 1000 t
- 1 Albania 0 1000 t
- 1 Bangladesh 0 1000 t
- 1 Botswana 0 1000 t
- 1 New Caledonia 0 1000 t
- 1 Philippines 0 1000 t
- 1 Ghana 0 1000 t
- 1 Oman 0 1000 t
- 1 Israel 0 1000 t
- 1 Lebanon 0 1000 t
- 1 Finland 0 1000 t compare
- 1 Iraq 0 1000 t
- 1 Malawi 0 1000 t
- 1 Malta 0 1000 t
- 1 Namibia 0 1000 t
- 1 Indonesia 0 1000 t
- 1 Bosnia and Herzegovina 0 1000 t
- 1 Pakistan 0 1000 t
- 1 Mozambique 0 1000 t
- 1 Nigeria 0 1000 t compare
- 1 United Arab Emirates 0 1000 t
- 1 Senegal 0 1000 t
- 1 Montenegro 0 1000 t
- 1 Yemen 0 1000 t
- 1 Georgia 0 1000 t
- 1 Colombia 0 1000 t
- 1 Rwanda 0 1000 t
- 1 Belarus 0 1000 t
- 1 Cyprus 0 1000 t
- 1 Guatemala 0 1000 t
- 1 Sri Lanka 0 1000 t
- 1 Canada 0 1000 t
- 1 Ireland 0 1000 t
- 1 Denmark 0 1000 t
- 1 Croatia 0 1000 t
- 1 Ecuador 0 1000 t
- 1 Latvia 0 1000 t
- 1 Belgium 0 1000 t
- 1 Norway 0 1000 t
- 1 Chile 0 1000 t
- 1 Brazil 0 1000 t
- 1 Azerbaijan 0 1000 t compare
- 1 Thailand 0 1000 t compare
- 1 Ethiopia 0 1000 t
- 1 Estonia 0 1000 t
- 1 Uganda 0 1000 t
- 1 Uruguay 0 1000 t
- 1 Tajikistan 0 1000 t
- 1 Poland 0 1000 t
- 1 Kyrgyzstan 0 1000 t
- 1 Republic of Korea 0 1000 t
- 1 Australia 0 1000 t
- 1 Czechia 0 1000 t compare
- 1 Luxembourg 0 1000 t
- 1 Lithuania 0 1000 t
- 1 New Zealand 0 1000 t
- 1 Bulgaria 0 1000 t
- 1 Zimbabwe 0 1000 t
- 1 China, mainland 0 1000 t
- 1 Sweden 0 1000 t
- 1 North Macedonia 0 1000 t
- 1 Zambia 0 1000 t compare
- 1 Peru 0 1000 t
- 1 Germany 0 1000 t
- 1 Netherlands (Kingdom of the) 0 1000 t
- 1 Greece 0 1000 t
- 1 Italy 0 1000 t
- 1 Serbia 0 1000 t
- 1 Uzbekistan 0 1000 t
- 1 United Kingdom of Great Britain and Northern Ireland 0 1000 t
- 1 Switzerland 0 1000 t
- 1 Morocco 0 1000 t
- 1 Mexico 0 1000 t
- 1 Slovakia 0 1000 t compare
- 1 Slovenia 0 1000 t
- 1 Türkiye 0 1000 t
- 1 Nepal 0 1000 t
- 1 Portugal 0 1000 t
- 1 Hungary 0 1000 t
- 1 South Africa 0 1000 t
- 1 China 0 1000 t
- 1 Kazakhstan 0 1000 t
- 1 Romania 0 1000 t compare
- 1 Russian Federation 0 1000 t
- 1 Spain 0 1000 t
- 1 Ukraine 0 1000 t compare
- 1 Australia and New Zealand 0 1000 t
More agriculture & rural data for South America
- Fat of pigs — Producing Animals/Slaughtered, annual growth rate 2.44 % change on previous year (2024)
- Swine / pigs — Stocks, annual growth rate 1.45 % change on previous year (2024)
- Tomatoes — Area harvested, annual growth rate 0.3049 % change on previous year (2024)
- Tomatoes — Yield, annual growth rate 3.46 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Producing 2.44 % change on previous year (2024)
- Tomatoes — Production, annual growth rate 3.77 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Production, annual 1.98 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Yield/Carcass Weight 0 % change on previous year (2024)
- Cabbages — Yield, annual growth rate -0.4003 % change on previous year (2024)
- Fat of pigs — Production, annual growth rate 1.84 % change on previous year (2024)
Frequently asked questions
- What is millet and products — residuals in South America?
- Millet and products — residuals in South America was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest millet and products — residuals recorded in South America?
- The highest recorded value was 0 1000 t in 2010.
- What is the lowest millet and products — residuals recorded in South America?
- The lowest recorded value was -1 1000 t in 2013.
- How does South America rank for millet and products — residuals?
- South America ranks 1st out of 29 groups with data for 2023.
- Is millet and products — residuals rising or falling in South America?
- Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
- Where does this South America data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Millet and products — Residuals. 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.