Hong Kong vs San Marino: Probability of dying that year, among females
Hong Kong
0.1%
in 2023
San Marino
0.1%
in 2023
Hong Kong rank
231st
San Marino rank
233rd
Probability of dying that year, among females over time
- Hong Kong
- San Marino
How they compare
Hong Kong currently reports 0.1% against 0.1% in San Marino, a difference of 0.0%.
That makes Hong Kong's figure about 1.3 times San Marino's.
The two have swapped places 2 times across 74 shared years of data; in 1950 it was Hong Kong ahead.
Hong Kong ranks 231st and San Marino ranks 233rd of 236 countries.
Across the 8 decades both report, Hong Kong averaged higher in 5 and San Marino in 3.
Head to head by decade
| Decade | Hong Kong | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 6.3% | 1.6% | 4.6% | Hong Kong |
| 1960s | 3.0% | 1.2% | 1.8% | Hong Kong |
| 1970s | 1.5% | 1.1% | 0.5% | Hong Kong |
| 1980s | 0.8% | 0.9% | 0.1% | San Marino |
| 1990s | 0.4% | 0.6% | 0.2% | San Marino |
| 2000s | 0.3% | 0.3% | 0.0% | San Marino |
| 2010s | 0.2% | 0.1% | 0.0% | Hong Kong |
| 2020s | 0.1% | 0.1% | 0.0% | Hong Kong |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher probability of dying that year, among females, Hong Kong or San Marino?
- Hong Kong, at 0.1% against 0.1% in San Marino as of 2023.
- What is the difference in probability of dying that year, among females between Hong Kong and San Marino?
- 0.0%, with Hong Kong ahead.
- How many years of comparable data are there for Hong Kong and San Marino?
- 74 years are reported by both, from 1950 to 2023.
- How do Hong Kong and San Marino rank globally for probability of dying that year, among females?
- Hong Kong ranks 231st and San Marino ranks 233rd 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 females. 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.