Sudan vs Syria: Output per worker, GDP constant 2021 international $ at PPP (ILO)
Sudan
15,402
in 2022
Syria
14,788
in 2027
Sudan rank
148th
Syria rank
149th
Output per worker, GDP constant 2021 international $ at PPP (ILO) over time
- Sudan
- Syria
How they compare
Sudan currently reports 15,402 against 14,788 in Syria, a difference of 614.
Across all 32 years both countries report, Syria has been ahead every year.
Sudan ranks 148th and Syria ranks 149th of 188 countries.
Syria has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Sudan | Syria | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 15,565 | 28,593 | 13,028 | Syria |
| 2000s | 21,984 | 32,937 | 10,954 | Syria |
| 2010s | 19,717 | 29,072 | 9,355 | Syria |
| 2020s | 16,286 | 21,917 | 5,631 | Syria |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher output per worker, gdp constant 2021 international $ at ppp, Sudan or Syria?
- Sudan, at 15,402 against 14,788 in Syria as of 2022.
- What is the difference in output per worker, gdp constant 2021 international $ at ppp between Sudan and Syria?
- 614, with Sudan ahead.
- How many years of comparable data are there for Sudan and Syria?
- 32 years are reported by both, from 1991 to 2022.
- How do Sudan and Syria rank globally for output per worker, gdp constant 2021 international $ at ppp?
- Sudan ranks 148th and Syria ranks 149th 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.