Libya vs Saint Martin (French Part): GDP per capita growth
GDP per capita growth over time
- Libya
- Saint Martin (French Part)
How they compare
Libya currently reports 12.2% against 11.3% in Saint Martin (French Part), a difference of 0.9%.
That makes Libya's figure about 1.1 times Saint Martin (French Part)'s.
The two have swapped places 3 times across 7 shared years of data; in 2015 it was Saint Martin (French Part) ahead.
Libya ranks 3rd and Saint Martin (French Part) ranks 4th of 215 countries.
Across the 2 decades both report, Libya averaged higher in 1 and Saint Martin (French Part) in 1.
Head to head by decade
| Decade | Libya | Saint Martin (French Part) | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 3.7% | 1.1% | 2.6% | Libya |
| 2020s | -1.9% | 2.8% | 4.7% | Saint Martin (French Part) |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gdp per capita growth, Libya or Saint Martin (French Part)?
- Libya, at 12.2% against 11.3% in Saint Martin (French Part) as of 2025.
- What is the difference in gdp per capita growth between Libya and Saint Martin (French Part)?
- 0.9%, with Libya ahead.
- How many years of comparable data are there for Libya and Saint Martin (French Part)?
- 7 years are reported by both, from 2015 to 2021.
- How do Libya and Saint Martin (French Part) rank globally for gdp per capita growth?
- Libya ranks 3rd and Saint Martin (French Part) ranks 4th of 215 countries.
- Where does this data come from?
- Country official statistics, National Statistical Organizations and/or Central Banks, published as GDP per capita growth (annual %). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Gross domestic product is the total income earned through the production of goods and services in an economic territory during an accounting period. It can be measured in three different ways: using either the expenditure approach, the income approach, or the production approach. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator denotes the percentage change over each previous year of the constant price (base year 2015) series in United States dollars.