Albania vs Cape Verde: Output per worker, GDP constant 2015 US $
Albania
13,132
in 2027
Cape Verde
13,162
in 2027
Albania rank
111th
Cape Verde rank
110th
Output per worker, GDP constant 2015 US $ over time
- Albania
- Cape Verde
How they compare
Cape Verde currently reports 13,162 against 13,132 in Albania, a difference of 30.
The two have swapped places 7 times across 37 shared years of data; in 1991 it was Albania ahead.
Albania ranks 111th and Cape Verde ranks 110th of 188 countries.
Across the 4 decades both report, Albania averaged higher in 2 and Cape Verde in 2.
Head to head by decade
| Decade | Albania | Cape Verde | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 3,961 | 4,376 | 414.93 | Cape Verde |
| 2000s | 7,498 | 8,199 | 700.57 | Cape Verde |
| 2010s | 10,162 | 9,668 | 494.05 | Albania |
| 2020s | 11,645 | 11,575 | 69.94 | Albania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher output per worker, gdp constant 2015 us $, Albania or Cape Verde?
- Cape Verde, at 13,162 against 13,132 in Albania as of 2027.
- What is the difference in output per worker, gdp constant 2015 us $ between Albania and Cape Verde?
- 30, with Cape Verde ahead.
- How many years of comparable data are there for Albania and Cape Verde?
- 37 years are reported by both, from 1991 to 2027.
- How do Albania and Cape Verde rank globally for output per worker, gdp constant 2015 us $?
- Albania ranks 111th and Cape Verde ranks 110th 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.