Croatia vs Latvia: Statin use vs. average non-HDL cholesterol levels
Croatia
3.7
in 2018
Latvia
3.7
in 2018
Croatia rank
12th
Latvia rank
12th
Statin use vs. average non-HDL cholesterol levels over time
- Croatia
- Latvia
How they compare
Croatia currently reports 3.7 against 3.7 in Latvia, a difference of 0.
Across all 39 years both countries report, Latvia has been ahead every year.
Croatia ranks 12th and Latvia ranks 12th of 191 countries.
Latvia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Croatia | Latvia | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 4.1 | 4.46 | 0.36 | Latvia |
| 1990s | 4.07 | 4.25 | 0.18 | Latvia |
| 2000s | 3.94 | 4.03 | 0.09 | Latvia |
| 2010s | 3.79 | 3.81 | 0.0222 | Latvia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statin use vs. average non-hdl cholesterol levels, Croatia or Latvia?
- Croatia, at 3.7 against 3.7 in Latvia as of 2018.
- What is the difference in statin use vs. average non-hdl cholesterol levels between Croatia and Latvia?
- 0, with Croatia ahead.
- How many years of comparable data are there for Croatia and Latvia?
- 39 years are reported by both, from 1980 to 2018.
- How do Croatia and Latvia rank globally for statin use vs. average non-hdl cholesterol levels?
- Croatia ranks 12th and Latvia ranks 12th of 191 countries.
- Where does this data come from?
- World Health Organization - Global Health Observatory (2026) – with minor processing by Our World in Data, published as Statin use vs. average non-HDL cholesterol levels. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The use of statins in the population. This is compared to average non-HDL cholesterol levels, in mmol/L. Statins are a type of drug that reduce non-HDL cholesterol levels, and are used to treat and prevent cardiovascular diseases in people at heightened risk. Their usage is measured in Defined Daily Doses, per 1,000 people.