Tea (including mate) — Food in Solomon Islands
Solomon Islands: Tea (including mate) — Food was 0 1000 t in 2023. ◆ Volatile
Tea (including mate) — Food in Solomon Islands, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for tea (including mate) — food in Solomon Islands is 0 1000 t, measured in 2023. That is the lowest value across all 14 years on record.
Over the whole period, tea (including mate) — food in Solomon Islands peaked at 1 1000 t in 2021 and was at its lowest, 0 1000 t, in 2010.
That places Solomon Islands 141st out of 194 countries with data for 2023, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Tea (including mate) — Food in Solomon Islands, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | 0 1000 t | — |
| 2011 | 0 1000 t | — |
| 2012 | 0 1000 t | — |
| 2013 | 0 1000 t | — |
| 2014 | 0 1000 t | — |
| 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 | 1 1000 t | — |
| 2022 | 0 1000 t | -100.0% |
| 2023 | 0 1000 t | — |
Solomon Islands compared with similar countries
- Solomon Islands's 0 1000 t is below the median for lower middle income countries, which is 4 1000 t. (41 countries reporting)
- Solomon Islands's 0 1000 t is below the median for East Asia & Pacific, which is 2 1000 t. (25 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0 1000 t | 0 1000 t | 0 1000 t | 10 |
| 2020s | 0.25 1000 t | 0 1000 t | 1 1000 t | 4 |
Countries ranked near Solomon Islands
- 141 Micronesia (Federated States of) 0 1000 t
- 141 Tuvalu 0 1000 t
- 141 Nauru 0 1000 t
- 141 Tonga 0 1000 t
- 141 Marshall Islands 0 1000 t
- 141 Bhutan 0 1000 t
- 141 Democratic People's Republic of Korea 0 1000 t
- 141 Cuba 0 1000 t
- 141 Timor-Leste 0 1000 t
- 141 Kiribati 0 1000 t
- 141 Comoros 0 1000 t
- 141 Djibouti 0 1000 t compare
- 141 Guinea-Bissau 0 1000 t compare
- 141 Sao Tome and Principe 0 1000 t
- 141 Micronesia 0 1000 t
- 141 Saint Kitts and Nevis 0 1000 t
- 141 Vanuatu 0 1000 t
- 141 Suriname 0 1000 t
- 141 Cabo Verde 0 1000 t
- 141 Montenegro 0 1000 t
- 141 Saint Vincent and the Grenadines 0 1000 t
- 141 Iceland 0 1000 t
- 141 Seychelles 0 1000 t
- 141 French Polynesia 0 1000 t
- 141 Grenada 0 1000 t
- 141 Estonia 0 1000 t compare
- 141 Samoa 0 1000 t
- 141 Gabon 0 1000 t
- 141 Guyana 0 1000 t
- 141 Bosnia and Herzegovina 0 1000 t
- 141 Haiti 0 1000 t
- 141 Saint Lucia 0 1000 t
- 141 North Macedonia 0 1000 t compare
- 141 Angola 0 1000 t compare
- 141 Bahamas 0 1000 t compare
- 141 New Caledonia 0 1000 t
- 141 Latvia 0 1000 t compare
- 141 Luxembourg 0 1000 t
- 141 Antigua and Barbuda 0 1000 t
- 141 Serbia 0 1000 t
- 141 Croatia 0 1000 t
- 141 Slovenia 0 1000 t
- 141 Dominican Republic 0 1000 t compare
- 141 Nicaragua 0 1000 t
- 141 Belize 0 1000 t
- 141 Jamaica 0 1000 t
- 141 Madagascar 0 1000 t
- 141 Trinidad and Tobago 0 1000 t compare
- 141 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 141 Polynesia 0 1000 t
- 141 Honduras 0 1000 t compare
- 141 Nauru 0 1000 t
- 141 East Timor 0 1000 t
More agriculture & rural data for Solomon Islands
- Agriculture, forestry, and fishing, value added (current US$), annual 2.41 % change on previous year (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 0.2973 current US$ per US$ of GDP (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 574.77 current US$ per person (2024)
- Rural population, annual growth rate 1.42 % change on previous year (2025)
- Rural population, per unit of GDP 0.0003 units per US$ of GDP (2025)
- Rural population, per capita 0.6869 units per person (2025)
- Share of GDP from agriculture 29.7% (2024)
- Agriculture as a share of GDP vs. GDP per capita 29.7% (2024)
- Agricultural raw materials exports 73.3% (2018)
- Agricultural raw materials imports 0.7% (2018)
Frequently asked questions
- What is tea (including mate) — food in Solomon Islands?
- Tea (including mate) — food in Solomon Islands was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest tea (including mate) — food recorded in Solomon Islands?
- The highest recorded value was 1 1000 t in 2021.
- What is the lowest tea (including mate) — food recorded in Solomon Islands?
- The lowest recorded value was 0 1000 t in 2010.
- How does Solomon Islands rank for tea (including mate) — food?
- Solomon Islands ranks 141st out of 194 countries with data for 2023.
- Where does this Solomon Islands data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Tea (including mate) — Food. 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.