Ghana vs Western Sahara: Output per worker, GDP constant 2015 US $
Output per worker, GDP constant 2015 US $ over time
- Ghana
- Western Sahara
How they compare
Ghana currently reports 6,429 against 5,984 in Western Sahara, a difference of 445.
That makes Ghana's figure about 1.1 times Western Sahara's.
The two have swapped places 1 time across 37 shared years of data; in 1991 it was Western Sahara ahead.
Ghana ranks 135th and Western Sahara ranks 137th of 188 countries.
Across the 4 decades both report, Ghana averaged higher in 1 and Western Sahara in 3.
Head to head by decade
| Decade | Ghana | Western Sahara | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 2,473 | 5,608 | 3,135 | Western Sahara |
| 2000s | 2,860 | 5,121 | 2,260 | Western Sahara |
| 2010s | 4,247 | 5,444 | 1,197 | Western Sahara |
| 2020s | 5,843 | 5,686 | 157.28 | Ghana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher output per worker, gdp constant 2015 us $, Ghana or Western Sahara?
- Ghana, at 6,429 against 5,984 in Western Sahara as of 2027.
- What is the difference in output per worker, gdp constant 2015 us $ between Ghana and Western Sahara?
- 445, with Ghana ahead.
- How many years of comparable data are there for Ghana and Western Sahara?
- 37 years are reported by both, from 1991 to 2027.
- How do Ghana and Western Sahara rank globally for output per worker, gdp constant 2015 us $?
- Ghana ranks 135th and Western Sahara ranks 137th 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.