Congo vs Zimbabwe: Labour force participation rate (ILO modelled estimates)
Labour force participation rate (ILO modelled estimates) over time
- Congo
- Zimbabwe
How they compare
Congo currently reports 67.78 against 67.69 in Zimbabwe, a difference of 0.09.
Across all 38 years both countries report, Congo has been ahead every year.
Congo ranks 37th and Zimbabwe ranks 39th of 189 countries.
Congo has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Congo | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 68.51 | 66.55 | 1.96 | Congo |
| 2000s | 67.96 | 65.63 | 2.34 | Congo |
| 2010s | 68.01 | 66.02 | 1.99 | Congo |
| 2020s | 67.2 | 66.74 | 0.4603 | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher labour force participation rate (ilo modelled estimates), Congo or Zimbabwe?
- Congo, at 67.78 against 67.69 in Zimbabwe as of 2027.
- What is the difference in labour force participation rate (ilo modelled estimates) between Congo and Zimbabwe?
- 0.09, with Congo ahead.
- How many years of comparable data are there for Congo and Zimbabwe?
- 38 years are reported by both, from 1990 to 2027.
- How do Congo and Zimbabwe rank globally for labour force participation rate (ilo modelled estimates)?
- Congo ranks 37th and Zimbabwe ranks 39th of 189 countries.
- Where does this data come from?
- International Labour Organization, published as Labour force participation rate (ILO modelled estimates) (15+). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. This series is based on the 13th ICLS definitions. The labour force participation rate is the labour force as a percent of the working-age population. The labour force is the sum of all persons of working age who are employed and those who are unemployed. For more information, refer to the ILO Modelled Estimates (ILOEST) database description.