Maldives vs United States of America: Age-Standardized Mortality Rate Attributed to Noncommunicable Diseases
Maldives
401.95
in 2019
United States of America
407.88
in 2019
Maldives rank
144th
United States of America rank
143rd
Age-Standardized Mortality Rate Attributed to Noncommunicable Diseases over time
- Maldives
- United States of America
How they compare
United States of America currently reports 407.88 against 401.95 in Maldives, a difference of 5.93.
The two have swapped places 1 time across 20 shared years of data; in 2000 it was Maldives ahead.
Maldives ranks 144th and United States of America ranks 143rd of 181 countries.
Maldives has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Maldives | United States of America | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 599.81 | 447.73 | 152.08 | Maldives |
| 2010s | 449.37 | 405.54 | 43.83 | Maldives |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher age-standardized mortality rate attributed to noncommunicable diseases, Maldives or United States of America?
- United States of America, at 407.88 against 401.95 in Maldives as of 2019.
- What is the difference in age-standardized mortality rate attributed to noncommunicable diseases between Maldives and United States of America?
- 5.93, with United States of America ahead.
- How many years of comparable data are there for Maldives and United States of America?
- 20 years are reported by both, from 2000 to 2019.
- How do Maldives and United States of America rank globally for age-standardized mortality rate attributed to noncommunicable diseases?
- Maldives ranks 144th and United States of America ranks 143rd of 181 countries.
- Where does this data come from?
- International Monetary Fund, published as Age-Standardized Mortality Rate Attributed to Noncommunicable Diseases. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Gender-disaggregated data on health outcomes.