Guatemala vs Sub-Saharan Africa: Jobs gap
Jobs gap over time
- Guatemala
- Sub-Saharan Africa
How they compare
Sub-Saharan Africa currently reports 90,149 against 2,408 in Guatemala, a difference of 87,741.
That makes Sub-Saharan Africa's figure about 37.4 times Guatemala's.
Across all 14 years both countries report, Sub-Saharan Africa has been ahead every year.
Guatemala ranks 15th and Sub-Saharan Africa ranks 12th of 70 countries.
Sub-Saharan Africa has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Guatemala | Sub-Saharan Africa | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 683.34 | 63,452 | 62,769 | Sub-Saharan Africa |
| 2020s | 1,550 | 82,460 | 80,910 | Sub-Saharan Africa |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher jobs gap, Guatemala or Sub-Saharan Africa?
- Sub-Saharan Africa, at 90,149 against 2,408 in Guatemala as of 2027.
- What is the difference in jobs gap between Guatemala and Sub-Saharan Africa?
- 87,741, with Sub-Saharan Africa ahead.
- How many years of comparable data are there for Guatemala and Sub-Saharan Africa?
- 14 years are reported by both, from 2010 to 2025.
- How do Guatemala and Sub-Saharan Africa rank globally for jobs gap?
- Guatemala ranks 15th and Sub-Saharan Africa ranks 12th of 70 countries.
- 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.