Sweeteners, Other — Residuals in Oceania
Oceania: Sweeteners, Other — Residuals was 0 1000 t in 2023. ◆ Volatile
Sweeteners, Other — Residuals in Oceania, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for sweeteners, other — residuals in Oceania is 0 1000 t, measured in 2023. That is the highest value across all 14 years on record.
Over the whole period, sweeteners, other — residuals in Oceania peaked at 0 1000 t in 2010 and was at its lowest, -9 1000 t, in 2016.
That places Oceania 1st out of 31 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.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -1.7 1000 t | -9 1000 t | 0 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Oceania
- 1 Micronesia (Federated States of) 0 1000 t compare
- 1 Tuvalu 0 1000 t compare
- 1 Nauru 0 1000 t compare
- 1 Tonga 0 1000 t compare
- 1 Marshall Islands 0 1000 t compare
- 1 Bhutan 0 1000 t compare
- 1 Qatar 0 1000 t compare
- 1 Bahrain 0 1000 t compare
- 1 Democratic People's Republic of Korea 0 1000 t compare
- 1 Cuba 0 1000 t compare
- 1 Kiribati 0 1000 t compare
- 1 Comoros 0 1000 t compare
- 1 Turkmenistan 0 1000 t compare
- 1 Sao Tome and Principe 0 1000 t compare
- 1 Djibouti 0 1000 t compare
- 1 Timor-Leste 0 1000 t compare
- 1 Tajikistan 0 1000 t compare
- 1 Libya 0 1000 t compare
- 1 Solomon Islands 0 1000 t compare
- 1 Guinea-Bissau 0 1000 t compare
- 1 Mongolia 0 1000 t compare
- 1 China, Macao SAR 0 1000 t compare
- 1 Vanuatu 0 1000 t compare
- 1 Saint Kitts and Nevis 0 1000 t compare
- 1 Albania 0 1000 t compare
- 1 Uzbekistan 0 1000 t compare
- 1 Micronesia 0 1000 t compare
- 1 Cabo Verde 0 1000 t compare
- 1 Saint Vincent and the Grenadines 0 1000 t compare
- 1 Mauritania 0 1000 t compare
- 1 Jordan 0 1000 t compare
- 1 Lesotho 0 1000 t compare
- 1 Liberia 0 1000 t compare
- 1 Armenia 0 1000 t compare
- 1 French Polynesia 0 1000 t compare
- 1 Seychelles 0 1000 t compare
- 1 Argentina 0 1000 t compare
- 1 Suriname 0 1000 t compare
- 1 North Macedonia 0 1000 t compare
- 1 Grenada 0 1000 t compare
- 1 Paraguay 0 1000 t compare
- 1 Bahamas 0 1000 t compare
- 1 Montenegro 0 1000 t compare
- 1 Kuwait 0 1000 t compare
- 1 Saint Lucia 0 1000 t compare
- 1 Georgia 0 1000 t compare
- 1 Kyrgyzstan 0 1000 t compare
- 1 Barbados 0 1000 t compare
- 1 Estonia 0 1000 t compare
- 1 Iceland 0 1000 t compare
- 1 Croatia 0 1000 t compare
- 1 Luxembourg 0 1000 t compare
- 1 Sierra Leone 0 1000 t compare
- 1 Tunisia 0 1000 t compare
- 1 Chile 0 1000 t compare
- 1 Maldives 0 1000 t compare
- 1 Mauritius 0 1000 t compare
- 1 Azerbaijan 0 1000 t compare
- 1 China, Hong Kong SAR 0 1000 t compare
- 1 Gambia 0 1000 t compare
- 1 Finland 0 1000 t compare
- 1 Angola 0 1000 t compare
- 1 Ireland 0 1000 t compare
- 1 Antigua and Barbuda 0 1000 t compare
- 1 Samoa 0 1000 t compare
- 1 Guyana 0 1000 t compare
- 1 Gabon 0 1000 t compare
- 1 Trinidad and Tobago 0 1000 t compare
- 1 Latvia 0 1000 t compare
- 1 Malta 0 1000 t compare
- 1 New Caledonia 0 1000 t compare
- 1 Republic of Moldova 0 1000 t compare
- 1 Syrian Arab Republic 0 1000 t compare
- 1 Congo 0 1000 t compare
- 1 Czechia 0 1000 t compare
- 1 Guinea 0 1000 t compare
- 1 Greece 0 1000 t compare
- 1 Uruguay 0 1000 t compare
- 1 Viet Nam 0 1000 t compare
- 1 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 1 Slovenia 0 1000 t compare
- 1 Belarus 0 1000 t compare
- 1 Papua New Guinea 0 1000 t compare
- 1 El Salvador 0 1000 t compare
- 1 United Arab Emirates 0 1000 t compare
- 1 Saudi Arabia 0 1000 t compare
- 1 Serbia 0 1000 t compare
- 1 Dominican Republic 0 1000 t compare
- 1 Poland 0 1000 t compare
- 1 Malawi 0 1000 t compare
- 1 Jamaica 0 1000 t compare
- 1 Fiji 0 1000 t compare
- 1 Lebanon 0 1000 t compare
- 1 Norway 0 1000 t compare
- 1 Oman 0 1000 t compare
- 1 Yemen 0 1000 t compare
- 1 Belize 0 1000 t compare
- 1 Hungary 0 1000 t compare
- 1 Niger 0 1000 t compare
- 1 Haiti 0 1000 t compare
- 1 Switzerland 0 1000 t compare
- 1 Austria 0 1000 t compare
- 1 Burkina Faso 0 1000 t compare
- 1 Netherlands (Kingdom of the) 0 1000 t compare
- 1 Denmark 0 1000 t compare
- 1 Bolivia (Plurinational State of) 0 1000 t compare
- 1 Panama 0 1000 t compare
- 1 Nicaragua 0 1000 t compare
- 1 Madagascar 0 1000 t compare
- 1 Italy 0 1000 t compare
- 1 Cyprus 0 1000 t compare
- 1 Portugal 0 1000 t compare
- 1 Zambia 0 1000 t compare
- 1 Polynesia 0 1000 t compare
- 1 Morocco 0 1000 t compare
- 1 Australia 0 1000 t compare
- 1 Sweden 0 1000 t compare
- 1 Costa Rica 0 1000 t compare
- 1 New Zealand 0 1000 t compare
- 1 Rwanda 0 1000 t compare
- 1 Mozambique 0 1000 t compare
- 1 Namibia 0 1000 t compare
- 1 Cameroon 0 1000 t compare
- 1 Honduras 0 1000 t compare
- 1 Ecuador 0 1000 t compare
- 1 Kazakhstan 0 1000 t compare
- 1 Germany 0 1000 t compare
- 1 Ghana 0 1000 t compare
- 1 Zimbabwe 0 1000 t compare
- 1 Bangladesh 0 1000 t compare
- 1 Botswana 0 1000 t compare
- 1 Republic of Korea 0 1000 t compare
- 1 Ukraine 0 1000 t compare
- 1 Ethiopia 0 1000 t compare
- 1 Democratic Republic of the Congo 0 1000 t compare
- 1 Côte d'Ivoire 0 1000 t compare
- 1 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 1 Spain 0 1000 t compare
- 1 Philippines 0 1000 t compare
- 1 Peru 0 1000 t compare
- 1 Senegal 0 1000 t compare
- 1 Thailand 0 1000 t compare
- 1 India 0 1000 t compare
- 1 Guatemala 0 1000 t compare
- 1 Mexico 0 1000 t compare
- 1 Brazil 0 1000 t compare
- 1 China, mainland 0 1000 t compare
- 1 Russian Federation 0 1000 t compare
- 1 Uganda 0 1000 t compare
- 1 Pakistan 0 1000 t compare
- 1 Sri Lanka 0 1000 t compare
- 1 Nigeria 0 1000 t compare
- 1 Egypt 0 1000 t compare
- 1 Indonesia 0 1000 t compare
- 1 Colombia 0 1000 t compare
- 1 United Republic of Tanzania 0 1000 t compare
- 1 Australia and New Zealand 0 1000 t compare
- 1 Melanesia 0 1000 t compare
- 1 Nepal 0 1000 t compare
- 1 Kenya 0 1000 t compare
More agriculture & rural data for Oceania
- Tomatoes — Area harvested 6,287 ha (2024)
- Bananas — Area harvested 97,509 ha (2024)
- Bananas — Production 1.71 million t (2024)
- Unmanufactured tobacco — Production 626.54 t (2024)
- Unmanufactured tobacco — Area harvested 581 ha (2024)
- Tomatoes — Yield 79,147 kg/ha (2024)
- Tomatoes — Production 497,570 t (2024)
- Swine / pigs — Stocks 5.39 million An (2024)
- Sheep and Goat Meat — Producing Animals/Slaughtered 64.03 million An (2024)
- Sugar Crops Primary — Production 31.52 million t (2024)
Frequently asked questions
- What is sweeteners, other — residuals in Oceania?
- Sweeteners, other — residuals in Oceania was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sweeteners, other — residuals recorded in Oceania?
- The highest recorded value was 0 1000 t in 2010.
- What is the lowest sweeteners, other — residuals recorded in Oceania?
- The lowest recorded value was -9 1000 t in 2016.
- How does Oceania rank for sweeteners, other — residuals?
- Oceania ranks 1st out of 31 groups with data for 2023.
- Where does this Oceania data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sweeteners, Other — 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.