Health risks - Regions — Circulatory system diseases mortality crude in Germany
Germany: Health risks - Regions — Circulatory system diseases mortality crude was 432.66 Per 100 000 inhabitants in 2022. ▼ Falling
Health risks - Regions — Circulatory system diseases mortality crude in Germany, 2011–2022
Source: Organisation for Economic Co-operation and Development. Measured in Per 100 000 inhabitants.
Analysis
Germany recorded 432.66 Per 100 000 inhabitants for health risks - regions — circulatory system diseases mortality crude in 2022.
That represents a change of up 5.4% on the previous year and down 0.7% over ten years.
Over the whole period, health risks - regions — circulatory system diseases mortality crude in Germany peaked at 441.17 Per 100 000 inhabitants in 2013 and was at its lowest, 400.14 Per 100 000 inhabitants, in 2019.
That places Germany 10th out of 41 countries with data for 2022, putting it in the top quarter.
The long-run direction has been consistently falling across the 12 years of available data.
Health risks - Regions — Circulatory system diseases mortality crude in Germany, year by year
| Year | Per 100 000 inhabitants | Change |
|---|---|---|
| 2011 | 427.88 Per 100 000 inhabitants | — |
| 2012 | 435.73 Per 100 000 inhabitants | +1.8% |
| 2013 | 441.17 Per 100 000 inhabitants | +1.2% |
| 2014 | 419.18 Per 100 000 inhabitants | -5.0% |
| 2015 | 438.22 Per 100 000 inhabitants | +4.5% |
| 2016 | 412.97 Per 100 000 inhabitants | -5.8% |
| 2017 | 418.99 Per 100 000 inhabitants | +1.5% |
| 2018 | 418.12 Per 100 000 inhabitants | -0.2% |
| 2019 | 400.14 Per 100 000 inhabitants | -4.3% |
| 2020 | 407.39 Per 100 000 inhabitants | +1.8% |
| 2021 | 410.6 Per 100 000 inhabitants | +0.8% |
| 2022 | 432.66 Per 100 000 inhabitants | +5.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 423.6 Per 100 000 inhabitants | 400.14 Per 100 000 inhabitants | 441.17 Per 100 000 inhabitants | 9 |
| 2020s | 416.88 Per 100 000 inhabitants | 407.39 Per 100 000 inhabitants | 432.66 Per 100 000 inhabitants | 3 |
Countries ranked near Germany
More health data for Germany
- Un projection of annual infant deaths, annual growth rate -2.13 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate -0.9955 % change on previous year (2090)
- Heat deaths vs projected death rates 1,164 (2090)
- Un projection of annual infant deaths 368 (2100)
- Population ages 0-14, female, annual growth rate -0.187 % change on previous year (2025)
- Population ages 0-14, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, female, per capita 0.0676 units per person (2025)
- Population ages 0-14, male, annual growth rate -0.2215 % change on previous year (2025)
- Population ages 0-14, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, male, per capita 0.0713 units per person (2025)
Frequently asked questions
- What is health risks - regions — circulatory system diseases mortality crude in Germany?
- Health risks - regions — circulatory system diseases mortality crude in Germany was 432.66 Per 100 000 inhabitants in 2022, according to Organisation for Economic Co-operation and Development.
- What is the highest health risks - regions — circulatory system diseases mortality crude recorded in Germany?
- The highest recorded value was 441.17 Per 100 000 inhabitants in 2013.
- What is the lowest health risks - regions — circulatory system diseases mortality crude recorded in Germany?
- The lowest recorded value was 400.14 Per 100 000 inhabitants in 2019.
- How does Germany rank for health risks - regions — circulatory system diseases mortality crude?
- Germany ranks 10th out of 41 countries with data for 2022.
- Is health risks - regions — circulatory system diseases mortality crude rising or falling in Germany?
- Over the last ten years it is down 0.7%. The long-run trend across the full record is falling.
- Where does this Germany data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Health risks - Regions — Circulatory system diseases mortality crude rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 12 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
This dataset provides indicators on health risks in large regions (TL2), and small regions (TL3) when data is available. Indicators include obesity rates, air pollution exposure, mortality rates due to circulatory and respiratory diseases. Data definition and source Obesity rate is the percentage of population 15 years old or more with a BMI>30 kg/m2. The Body Mass Index (BMI) is a single number that evaluates an individual's weight status in relation to height (weight/height2) with weight in kilograms and height in meters. Population exposure to fine particule PM2.5 provide an estimate of the population-weighted average of PM2.5 concentration. Respiratory system diseases mortality rate is the number of deaths from diseases of the respiratory system (group J00-J99 of the International Classification of Deseases), for 100 000 inhabitants. Circulatory system diseases mortality rate rate is the number of deaths from diseases of the circulatory system (group I00-I99) for 100 000 inhabitants. PM2.5 air pollution indicators are computed using geospatial data from the Global Burden of Disease (GBD) 2019 project. Respiratory and circulatory related mortality data are collected from Eurostat (reg_hlth) for EU regions and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. Definition of regions Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid (pdf) and the OECD Territorial Correspondence Table (xlsx). Use of data on small regions When socio-demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions (xlsx) and the EU methodology (link). Cite this dataset OECD Regions, Cities and Local Areas database http://oe.cd/geostats. Further information OECD Regions and Cities Statistical Atlas OECD Regions and Cities at a Glance For questions and/or comments, please email RegionStat@oecd.org.