Solomon Islands vs Somalia: Share of cereals allocated to human food vs. GDP per capita
Solomon Islands
99.1%
in 2023
Somalia
98.5%
in 2022
Solomon Islands rank
11th
Somalia rank
13th
Share of cereals allocated to human food vs. GDP per capita over time
- Solomon Islands
- Somalia
How they compare
Solomon Islands currently reports 99.1% against 98.5% in Somalia, a difference of 0.6%.
The two have swapped places 4 times across 13 shared years of data; in 2010 it was Solomon Islands ahead.
Solomon Islands ranks 11th and Somalia ranks 13th of 192 countries.
Solomon Islands has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Solomon Islands | Somalia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 99.2% | 99.1% | 0.2% | Solomon Islands |
| 2020s | 99.4% | 98.3% | 1.1% | Solomon Islands |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of cereals allocated to human food vs. gdp per capita, Solomon Islands or Somalia?
- Solomon Islands, at 99.1% against 98.5% in Somalia as of 2023.
- What is the difference in share of cereals allocated to human food vs. gdp per capita between Solomon Islands and Somalia?
- 0.6%, with Solomon Islands ahead.
- How many years of comparable data are there for Solomon Islands and Somalia?
- 13 years are reported by both, from 2010 to 2022.
- How do Solomon Islands and Somalia rank globally for share of cereals allocated to human food vs. gdp per capita?
- Solomon Islands ranks 11th and Somalia ranks 13th of 192 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations (2025) – with major processing by Our World in Data, published as Share of cereals allocated to human food vs. GDP per capita. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Share of domestic cereal supply allocated to direct human food, rather than animal feed or biofuels. GDP is adjusted for inflation and differences in living costs across countries.