Cameroon vs Sudan: Output per worker, GDP constant 2021 international $ at PPP
Output per worker, GDP constant 2021 international $ at PPP over time
- Cameroon
- Sudan
How they compare
Sudan currently reports 15,402 against 13,829 in Cameroon, a difference of 1,573.
That makes Sudan's figure about 1.1 times Cameroon's.
Across all 32 years both countries report, Sudan has been ahead every year.
Cameroon ranks 151st and Sudan ranks 148th of 188 countries.
Sudan has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Cameroon | Sudan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 9,132 | 15,565 | 6,433 | Sudan |
| 2000s | 9,590 | 21,984 | 12,394 | Sudan |
| 2010s | 11,777 | 19,717 | 7,939 | Sudan |
| 2020s | 13,199 | 16,286 | 3,087 | Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher output per worker, gdp constant 2021 international $ at ppp, Cameroon or Sudan?
- Sudan, at 15,402 against 13,829 in Cameroon as of 2022.
- What is the difference in output per worker, gdp constant 2021 international $ at ppp between Cameroon and Sudan?
- 1,573, with Sudan ahead.
- How many years of comparable data are there for Cameroon and Sudan?
- 32 years are reported by both, from 1991 to 2022.
- How do Cameroon and Sudan rank globally for output per worker, gdp constant 2021 international $ at ppp?
- Cameroon ranks 151st and Sudan ranks 148th of 188 countries.
- Where does this data come from?
- International Labour Organization, published as Output per worker, GDP constant 2021 international $ at PPP (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 2021 international dollars at PPP) 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.