Central Europe and the Baltics vs Comoros: Maternal mortality ratio
Maternal mortality ratio over time
- Central Europe and the Baltics
- Comoros
How they compare
Comoros currently reports 179 against 6 in Central Europe and the Baltics, a difference of 173.
That makes Comoros's figure about 29.8 times Central Europe and the Baltics's.
Across all 39 years both countries report, Comoros has been ahead every year.
Central Europe and the Baltics ranks 45th and Comoros ranks 42nd of 47 groups.
Comoros has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | Central Europe and the Baltics | Comoros | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 53.4 | 809 | 755.6 | Comoros |
| 1990s | 29.3 | 599.7 | 570.4 | Comoros |
| 2000s | 13 | 386.8 | 373.8 | Comoros |
| 2010s | 7.7 | 246.9 | 239.2 | Comoros |
| 2020s | 8 | 194.5 | 186.5 | Comoros |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher maternal mortality ratio, Central Europe and the Baltics or Comoros?
- Comoros, at 179 against 6 in Central Europe and the Baltics as of 2023.
- What is the difference in maternal mortality ratio between Central Europe and the Baltics and Comoros?
- 173, with Comoros ahead.
- How many years of comparable data are there for Central Europe and the Baltics and Comoros?
- 39 years are reported by both, from 1985 to 2023.
- How do Central Europe and the Baltics and Comoros rank globally for maternal mortality ratio?
- Central Europe and the Baltics ranks 45th and Comoros ranks 42nd of 47 groups.
- Where does this data come from?
- Trends in Maternal Mortality, World Health Organization (WHO), published as Maternal mortality ratio (modeled estimate, per 100,000 live births). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).