How many years of comparable data are there for Bhutan and Liberia?

54 years are reported by both, from 1970 to 2023.

Where does this data come from?

Statizoid (derived), published as Value Added (Agriculture, Forestry and Fishing) — Value US$, per square kilometre. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Bhutan vs Liberia: Value Added (Agriculture, Forestry and Fishing) — Value US$, per

Bhutan

0.0118 million USD per square kilometre

in 2023

Liberia

0.0105 million USD per square kilometre

in 2023

Bhutan rank

140th

Liberia rank

143rd

Value Added (Agriculture, Forestry and Fishing) — Value US$, per over time

Bhutan
Liberia

How they compare

Bhutan currently reports 0.0118 million USD per square kilometre against 0.0105 million USD per square kilometre in Liberia, a difference of 0.0013 million USD per square kilometre.

That makes Bhutan's figure about 1.1 times Liberia's.

The two have swapped places 5 times across 54 shared years of data; in 1970 it was Liberia ahead.

Bhutan ranks 140th and Liberia ranks 143rd of 180 countries.

Across the 6 decades both report, Bhutan averaged higher in 2 and Liberia in 4.

Head to head by decade

Decade	Bhutan	Liberia	Difference	Ahead
1970s	0.0008 million USD per square kilometre	0.0009 million USD per square kilometre	0.0001 million USD per square kilometre	Liberia
1980s	0.0016 million USD per square kilometre	0.0035 million USD per square kilometre	0.0019 million USD per square kilometre	Liberia
1990s	0.0022 million USD per square kilometre	0.0024 million USD per square kilometre	0.0002 million USD per square kilometre	Liberia
2000s	0.0038 million USD per square kilometre	0.0052 million USD per square kilometre	0.0013 million USD per square kilometre	Liberia
2010s	0.0072 million USD per square kilometre	0.0066 million USD per square kilometre	0.0006 million USD per square kilometre	Bhutan
2020s	0.0111 million USD per square kilometre	0.0092 million USD per square kilometre	0.002 million USD per square kilometre	Bhutan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher value added (agriculture, forestry and fishing) — value us$, per, Bhutan or Liberia?: Bhutan, at 0.0118 million USD per square kilometre against 0.0105 million USD per square kilometre in Liberia as of 2023.
What is the difference in value added (agriculture, forestry and fishing) — value us$, per between Bhutan and Liberia?: 0.0013 million USD per square kilometre, with Bhutan ahead.
How many years of comparable data are there for Bhutan and Liberia?: 54 years are reported by both, from 1970 to 2023.
How do Bhutan and Liberia rank globally for value added (agriculture, forestry and fishing) — value us$, per?: Bhutan ranks 140th and Liberia ranks 143rd of 180 countries.
Where does this data come from?: Statizoid (derived), published as Value Added (Agriculture, Forestry and Fishing) — Value US$, per square kilometre. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Bhutan vs Liberia: Value Added (Agriculture, Forestry and Fishing) — Value US$, per. Statizoid, drawing on Statizoid (derived). Retrieved 12 September 2026, from https://environment.statizoid.com/compare/value-added-agriculture-forestry-and-fishing-value-us-per-square-kilometre/bhutan/liberia/

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<a href="https://environment.statizoid.com/compare/value-added-agriculture-forestry-and-fishing-value-us-per-square-kilometre/bhutan/liberia/">Bhutan vs Liberia: Value Added (Agriculture, Forestry and Fishing) — Value US$, per</a> — Statizoid

About this data

Indicator: Value Added (Agriculture, Forestry and Fishing) — Value US$, per square kilometre
Unit: million USD per square kilometre
Source: Statizoid (derived)
Licence: Derived by Statizoid from the sources named on the page
Coverage: 181 places, 9,031 data points, 1970–2023
Last refreshed: 12 September 2026

Value Added (Agriculture, Forestry and Fishing) — Value US$ divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.