Cameroon vs Kenya: Probability that a man will outlive a woman
Cameroon
43.0%
in 2023
Kenya
42.9%
in 2023
Cameroon rank
35th
Kenya rank
37th
Probability that a man will outlive a woman over time
- Cameroon
- Kenya
How they compare
Cameroon currently reports 43.0% against 42.9% in Kenya, a difference of 0.1%.
The two have swapped places 5 times across 74 shared years of data; in 1950 it was Kenya ahead.
Cameroon ranks 35th and Kenya ranks 37th of 236 countries.
Across the 8 decades both report, Cameroon averaged higher in 5 and Kenya in 3.
Head to head by decade
| Decade | Cameroon | Kenya | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 47.4% | 46.9% | 0.5% | Cameroon |
| 1960s | 45.8% | 46.7% | 0.9% | Kenya |
| 1970s | 47.0% | 45.4% | 1.6% | Cameroon |
| 1980s | 46.2% | 44.6% | 1.7% | Cameroon |
| 1990s | 46.1% | 46.9% | 0.7% | Kenya |
| 2000s | 46.9% | 47.0% | 0.1% | Kenya |
| 2010s | 44.7% | 44.0% | 0.7% | Cameroon |
| 2020s | 43.2% | 42.6% | 0.6% | Cameroon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher probability that a man will outlive a woman, Cameroon or Kenya?
- Cameroon, at 43.0% against 42.9% in Kenya as of 2023.
- What is the difference in probability that a man will outlive a woman between Cameroon and Kenya?
- 0.1%, with Cameroon ahead.
- How many years of comparable data are there for Cameroon and Kenya?
- 74 years are reported by both, from 1950 to 2023.
- How do Cameroon and Kenya rank globally for probability that a man will outlive a woman?
- Cameroon ranks 35th and Kenya ranks 37th of 236 countries.
- Where does this data come from?
- Human Mortality Database (2025); UN, World Population Prospects (2024); Bergeron-Boucher et al. (2022) β processed by Our World in Data, published as Probability that a man will outlive a woman. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Probability that a male will live longer than a female if both are randomly selected from the population at birth.