Haiti vs New Caledonia: Probability that a man will outlive a woman
Haiti
39.5%
in 2023
New Caledonia
39.5%
in 2023
Haiti rank
113th
New Caledonia rank
114th
Probability that a man will outlive a woman over time
- Haiti
- New Caledonia
How they compare
Haiti currently reports 39.5% against 39.5% in New Caledonia, a difference of 0.0%.
Across all 74 years both countries report, Haiti has been ahead every year.
Haiti ranks 113th and New Caledonia ranks 114th of 236 countries.
Haiti has averaged higher in every one of the 8 decades both report.
Head to head by decade
| Decade | Haiti | New Caledonia | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 45.3% | 40.4% | 4.9% | Haiti |
| 1960s | 45.7% | 39.4% | 6.3% | Haiti |
| 1970s | 46.2% | 38.3% | 7.8% | Haiti |
| 1980s | 46.8% | 36.8% | 10.0% | Haiti |
| 1990s | 46.1% | 36.8% | 9.2% | Haiti |
| 2000s | 43.8% | 38.1% | 5.8% | Haiti |
| 2010s | 42.4% | 38.5% | 3.9% | Haiti |
| 2020s | 39.8% | 38.8% | 1.0% | Haiti |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher probability that a man will outlive a woman, Haiti or New Caledonia?
- Haiti, at 39.5% against 39.5% in New Caledonia as of 2023.
- What is the difference in probability that a man will outlive a woman between Haiti and New Caledonia?
- 0.0%, with Haiti ahead.
- How many years of comparable data are there for Haiti and New Caledonia?
- 74 years are reported by both, from 1950 to 2023.
- How do Haiti and New Caledonia rank globally for probability that a man will outlive a woman?
- Haiti ranks 113th and New Caledonia ranks 114th of 236 countries.
- Where does this data come from?
- Human Mortality Database (2025); UN, World Population Prospects (2024); Bergeron-Boucher et al. (2022) – 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.