Indonesia vs Mauritania: Output per worker, GDP constant 2015 US $
Output per worker, GDP constant 2015 US $ over time
- Indonesia
- Mauritania
How they compare
Indonesia currently reports 9,764 against 8,302 in Mauritania, a difference of 1,462.
That makes Indonesia's figure about 1.2 times Mauritania's.
The two have swapped places 3 times across 37 shared years of data; in 1991 it was Mauritania ahead.
Indonesia ranks 124th and Mauritania ranks 127th of 188 countries.
Across the 4 decades both report, Indonesia averaged higher in 1 and Mauritania in 3.
Head to head by decade
| Decade | Indonesia | Mauritania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 4,233 | 6,074 | 1,841 | Mauritania |
| 2000s | 4,945 | 6,205 | 1,259 | Mauritania |
| 2010s | 6,933 | 7,206 | 272.34 | Mauritania |
| 2020s | 8,744 | 7,893 | 850.85 | Indonesia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher output per worker, gdp constant 2015 us $, Indonesia or Mauritania?
- Indonesia, at 9,764 against 8,302 in Mauritania as of 2027.
- What is the difference in output per worker, gdp constant 2015 us $ between Indonesia and Mauritania?
- 1,462, with Indonesia ahead.
- How many years of comparable data are there for Indonesia and Mauritania?
- 37 years are reported by both, from 1991 to 2027.
- How do Indonesia and Mauritania rank globally for output per worker, gdp constant 2015 us $?
- Indonesia ranks 124th and Mauritania ranks 127th of 188 countries.
- Where does this data come from?
- International Labour Organization, published as Output per worker, GDP constant 2015 US $ (ILO modelled estimates). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This measure of labour productivity is calculated using data on GDP in constant 2015 US dollars derived from the World Development Indicators database of the World Bank. To compute labour productivity as GDP per worker, ILO estimates for total employment are used. For more information, refer to the ILO Modelled Estimates (ILOEST) database description.