Comoros vs Ethiopia: Probability of dying that year, among males
Comoros
4.0%
in 2023
Ethiopia
3.7%
in 2023
Comoros rank
31st
Ethiopia rank
34th
Probability of dying that year, among males over time
- Comoros
- Ethiopia
How they compare
Comoros currently reports 4.0% against 3.7% in Ethiopia, a difference of 0.3%.
That makes Comoros's figure about 1.1 times Ethiopia's.
The two have swapped places 5 times across 74 shared years of data; in 1950 it was Ethiopia ahead.
Comoros ranks 31st and Ethiopia ranks 34th of 236 countries.
Across the 8 decades both report, Comoros averaged higher in 3 and Ethiopia in 5.
Head to head by decade
| Decade | Comoros | Ethiopia | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 19.5% | 20.9% | 1.5% | Ethiopia |
| 1960s | 17.1% | 16.9% | 0.2% | Comoros |
| 1970s | 14.4% | 16.3% | 1.9% | Ethiopia |
| 1980s | 11.3% | 16.0% | 4.8% | Ethiopia |
| 1990s | 8.7% | 11.6% | 2.9% | Ethiopia |
| 2000s | 6.9% | 7.9% | 1.0% | Ethiopia |
| 2010s | 5.2% | 5.0% | 0.1% | Comoros |
| 2020s | 4.2% | 3.9% | 0.3% | Comoros |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher probability of dying that year, among males, Comoros or Ethiopia?
- Comoros, at 4.0% against 3.7% in Ethiopia as of 2023.
- What is the difference in probability of dying that year, among males between Comoros and Ethiopia?
- 0.3%, with Comoros ahead.
- How many years of comparable data are there for Comoros and Ethiopia?
- 74 years are reported by both, from 1950 to 2023.
- How do Comoros and Ethiopia rank globally for probability of dying that year, among males?
- Comoros ranks 31st and Ethiopia ranks 34th of 236 countries.
- Where does this data come from?
- Human Mortality Database (2025); UN, World Population Prospects (2024) – with minor processing by Our World in Data, published as Probability of dying that year, among males. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Probability of dying in a given interval, among people who survived to the start of that interval.