Cereals, other — Stock Variation in Melanesia
Melanesia: Cereals, other — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Cereals, other — Stock Variation in Melanesia, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for cereals, other — stock variation in Melanesia is 0 1000 t, measured in 2023.
Over the whole period, cereals, other — stock variation in Melanesia peaked at 1 1000 t in 2011 and was at its lowest, -1 1000 t, in 2012.
That places Melanesia 36th out of 187 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.
Cereals, other — Stock Variation in Melanesia, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | 0 1000 t | — |
| 2011 | 1 1000 t | — |
| 2012 | -1 1000 t | -200.0% |
| 2013 | 0 1000 t | -100.0% |
| 2014 | -1 1000 t | — |
| 2015 | 0 1000 t | -100.0% |
| 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 | 1 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Melanesia
- 36 Nauru 0 1000 t
- 36 Marshall Islands 0 1000 t
- 36 Tonga 0 1000 t
- 36 Bhutan 0 1000 t compare
- 36 Bahrain 0 1000 t
- 36 Qatar 0 1000 t compare
- 36 Cuba 0 1000 t
- 36 Comoros 0 1000 t
- 36 Democratic People's Republic of Korea 0 1000 t
- 36 Saint Kitts and Nevis 0 1000 t
- 36 Solomon Islands 0 1000 t
- 36 Liberia 0 1000 t
- 36 China, Macao SAR 0 1000 t
- 36 Sao Tome and Principe 0 1000 t
- 36 Samoa 0 1000 t
- 36 Cabo Verde 0 1000 t
- 36 Djibouti 0 1000 t
- 36 Micronesia 0 1000 t
- 36 Saint Vincent and the Grenadines 0 1000 t
- 36 French Polynesia 0 1000 t
- 36 Grenada 0 1000 t
- 36 Suriname 0 1000 t
- 36 China, Hong Kong SAR 0 1000 t
- 36 Barbados 0 1000 t
- 36 Bahamas 0 1000 t
- 36 Gabon 0 1000 t
- 36 Vanuatu 0 1000 t compare
- 36 Congo 0 1000 t
- 36 Guyana 0 1000 t
- 36 Iceland 0 1000 t
- 36 Libya 0 1000 t
- 36 Saint Lucia 0 1000 t
- 36 Mongolia 0 1000 t compare
- 36 Kuwait 0 1000 t
- 36 Dominican Republic 0 1000 t
- 36 Costa Rica 0 1000 t
- 36 Guinea-Bissau 0 1000 t compare
- 36 Mauritius 0 1000 t
- 36 Fiji 0 1000 t
- 36 Jordan 0 1000 t
- 36 Haiti 0 1000 t compare
- 36 Seychelles 0 1000 t
- 36 Trinidad and Tobago 0 1000 t compare
- 36 Albania 0 1000 t
- 36 Panama 0 1000 t
- 36 Paraguay 0 1000 t compare
- 36 Antigua and Barbuda 0 1000 t
- 36 Polynesia 0 1000 t
- 36 Maldives 0 1000 t
- 36 Cambodia 0 1000 t
- 36 Jamaica 0 1000 t
- 36 Papua New Guinea 0 1000 t compare
- 36 Malta 0 1000 t
- 36 Armenia 0 1000 t compare
- 36 Philippines 0 1000 t compare
- 36 Nicaragua 0 1000 t
- 36 El Salvador 0 1000 t
- 36 Israel 0 1000 t
- 36 Iraq 0 1000 t
- 36 Lebanon 0 1000 t
- 36 Iran (Islamic Republic of) 0 1000 t
- 36 United Arab Emirates 0 1000 t compare
- 36 Algeria 0 1000 t compare
- 36 Venezuela (Bolivarian Republic of) 0 1000 t
- 36 Gambia 0 1000 t
- 36 Norway 0 1000 t
- 36 Eswatini 0 1000 t compare
- 36 Lesotho 0 1000 t
- 36 Chile 0 1000 t compare
- 36 Belize 0 1000 t
- 36 Estonia 0 1000 t compare
- 36 Georgia 0 1000 t compare
- 36 Angola 0 1000 t
- 36 Croatia 0 1000 t compare
- 36 New Caledonia 0 1000 t
- 36 Azerbaijan 0 1000 t compare
- 36 Ecuador 0 1000 t compare
- 36 Bosnia and Herzegovina 0 1000 t compare
- 36 Indonesia 0 1000 t compare
- 36 Luxembourg 0 1000 t compare
- 36 Sierra Leone 0 1000 t
- 36 New Zealand 0 1000 t compare
- 36 Mauritania 0 1000 t
- 36 Montenegro 0 1000 t compare
- 36 Burkina Faso 0 1000 t
- 36 Syrian Arab Republic 0 1000 t
- 36 Kyrgyzstan 0 1000 t compare
- 36 North Macedonia 0 1000 t compare
- 36 Tajikistan 0 1000 t
- 36 Madagascar 0 1000 t
- 36 Cameroon 0 1000 t compare
- 36 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 36 Saudi Arabia 0 1000 t compare
- 36 Colombia 0 1000 t compare
- 36 Republic of Moldova 0 1000 t compare
- 36 Democratic Republic of the Congo 0 1000 t compare
- 36 Greece 0 1000 t compare
- 36 Slovenia 0 1000 t compare
- 36 Tunisia 0 1000 t compare
- 36 Serbia 0 1000 t compare
- 36 Honduras 0 1000 t compare
- 36 Niger 0 1000 t compare
- 36 Guatemala 0 1000 t
- 36 India 0 1000 t compare
- 36 Slovakia 0 1000 t compare
- 36 Hungary 0 1000 t compare
- 36 Malawi 0 1000 t
- 36 Namibia 0 1000 t
- 36 Botswana 0 1000 t compare
- 36 Mozambique 0 1000 t compare
- 36 Pakistan 0 1000 t compare
- 36 Senegal 0 1000 t
- 36 Switzerland 0 1000 t compare
- 36 Yemen 0 1000 t
- 36 Sri Lanka 0 1000 t
- 36 Portugal 0 1000 t compare
- 36 Rwanda 0 1000 t compare
- 36 Ethiopia 0 1000 t compare
- 36 Uganda 0 1000 t
- 36 United Republic of Tanzania 0 1000 t compare
- 36 Egypt 0 1000 t compare
- 36 Zimbabwe 0 1000 t
- 36 Zambia 0 1000 t compare
- 36 Nepal 0 1000 t compare
- 36 Morocco 0 1000 t
- 36 South Africa 0 1000 t compare
- 36 Caribbean 0 1000 t compare
- 36 Nauru 0 1000 t
- 36 Syria 0 1000 t
- 36 United Kingdom 0 1000 t compare
- 36 Moldova 0 1000 t compare
More agriculture & rural data for Melanesia
- Meat of goat, fresh or chilled (indigenous) — Gross Production Value 8.31 % change on previous year (2024)
- Raw milk of cattle — Gross Production Value (constant 2014-2016) -1.73 % change on previous year (2024)
- Potatoes — Gross Production Value (constant 2014-2016 thousand I$) -19.47 % change on previous year (2024)
- Other vegetables, fresh n.e.c. — Gross Production Value (constant) 0.4201 % change on previous year (2024)
- Other fruits, n.e.c. — Gross Production Value (constant 2014-2016) 0.2146 % change on previous year (2024)
- Meat of sheep, fresh or chilled (indigenous) — Gross Production Value 11.86 % change on previous year (2024)
- Meat of cattle with the bone, fresh or chilled (indigenous) — Gross -5.09 % change on previous year (2024)
- Hen eggs in shell, fresh — Gross Production Value (constant 2014-2016) 1.11 % change on previous year (2024)
- Maize (corn) — Gross Production Value (constant 2014-2016 thousand) 21.3 % change on previous year (2024)
- Sugar Crops Primary — Gross Production Value (constant 2014-2016) -12.17 % change on previous year (2024)
Frequently asked questions
- What is cereals, other — stock variation in Melanesia?
- Cereals, other — stock variation in Melanesia was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cereals, other — stock variation recorded in Melanesia?
- The highest recorded value was 1 1000 t in 2011.
- What is the lowest cereals, other — stock variation recorded in Melanesia?
- The lowest recorded value was -1 1000 t in 2012.
- How does Melanesia rank for cereals, other — stock variation?
- Melanesia ranks 36th out of 187 countries with data for 2023.
- Where does this Melanesia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Cereals, other — Stock Variation. Statizoid updates them automatically from the source API.
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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.