South-Eastern Asia vs Palestine: Jobs gap
Jobs gap over time
- South-Eastern Asia
- Palestine
How they compare
South-Eastern Asia currently reports 21,626 against 318.44 in Palestine, a difference of 21,308.
That makes South-Eastern Asia's figure about 67.9 times Palestine's.
Across all 10 years both countries report, South-Eastern Asia has been ahead every year.
South-Eastern Asia ranks 43rd and Palestine ranks 43rd of 87 groups.
South-Eastern Asia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | South-Eastern Asia | Palestine | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 24,104 | 462.37 | 23,641 | South-Eastern Asia |
| 2020s | 23,288 | 452.47 | 22,835 | South-Eastern Asia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher jobs gap, South-Eastern Asia or Palestine?
- South-Eastern Asia, at 21,626 against 318.44 in Palestine as of 2027.
- What is the difference in jobs gap between South-Eastern Asia and Palestine?
- 21,308, with South-Eastern Asia ahead.
- How many years of comparable data are there for South-Eastern Asia and Palestine?
- 10 years are reported by both, from 2015 to 2025.
- How do South-Eastern Asia and Palestine rank globally for jobs gap?
- South-Eastern Asia ranks 43rd and Palestine ranks 43rd of 87 groups.
- Where does this data come from?
- International Labour Organization, published as Jobs gap. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
With the aim of promoting international comparability, statistics presented on ILOSTAT are based on standard international definitions wherever feasible and may differ from official national figures. This series is based on the 13th ICLS definitions. For time series comparability, it includes countries that have implemented the 19th ICLS standards, for which data are also available in the Work Statistics -- 19th ICLS (WORK) database. The jobs gap is defined as the sum of the unemployed, the potential labour force and willing non-jobseekers. For more information, refer to the Labour Force Statistics (LFS and STLFS) database description.