Bhutan vs Solomon Islands: Hypothetical global meat demand

Bhutan
123.48 million
in 2023
Solomon Islands
121.37 million
in 2023
Bhutan rank
163rd
Solomon Islands rank
165th

Hypothetical global meat demand over time

  • Bhutan
  • Solomon Islands
25.0M50.0M75.0M100.0M125.0M196119922023

How they compare

Bhutan currently reports 123.48 million against 121.37 million in Solomon Islands, a difference of 2.10 million.

The two have swapped places 2 times across 5 shared years of data; in 2019 it was Bhutan ahead.

Bhutan ranks 163rd and Solomon Islands ranks 165th of 192 countries.

Across the 2 decades both report, Bhutan averaged higher in 1 and Solomon Islands in 1.

Head to head by decade

Decade Bhutan Solomon Islands Difference Ahead
2010s 122.56 million 107.28 million 15.28 million Bhutan
2020s 112.94 million 118.93 million 5.99 million Solomon Islands

Averages of every year both report within each decade.

Frequently asked questions

Which has higher hypothetical global meat demand, Bhutan or Solomon Islands?
Bhutan, at 123.48 million against 121.37 million in Solomon Islands as of 2023.
What is the difference in hypothetical global meat demand between Bhutan and Solomon Islands?
2.10 million, with Bhutan ahead.
How many years of comparable data are there for Bhutan and Solomon Islands?
5 years are reported by both, from 2019 to 2023.
How do Bhutan and Solomon Islands rank globally for hypothetical global meat demand?
Bhutan ranks 163rd and Solomon Islands ranks 165th of 192 countries.
Where does this data come from?
Our World in Data, published as Hypothetical global meat demand. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Bhutan vs Solomon Islands: Hypothetical global meat demand. Statizoid, drawing on Our World in Data. Retrieved 20 August 2026, from https://agriculture.statizoid.com/compare/hypothetical-global-meat-demand/bhutan/solomon-islands/

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About this data

Indicator
Hypothetical global meat demand
Source
Our World in Data
Licence
CC BY 4.0 (Our World in Data)
Coverage
192 places, 10,214 data points, 1961–2023
Last refreshed