In 2023, there were 133.2 deaths per hundred thousand inhabitants in Denmark. The number of deaths has decreased since 2010, when 170.7 deaths occurred per hundred thousand inhabitants, down to around 128 in the years after 2018.

This dataset documents cardiovascular disease (CVD) death rates, relative and absolute excess death rates, and trends. Specifically, this report presents county (or county equivalent) estimates of CVD death rates in 2000-2020, trends during 2010-2019, and relative and absolute excess death rates in 2020 by age group (ages 35–64 years, ages 65 years and older). All estimates were generated using a Bayesian spatiotemporal model and a smoothed over space, time, and 10-year age groups. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.

Heart diseases were the second leading death cause in Taiwan. In 2023, the standardized mortality rate from heart diseases in Taiwan was 46.8 deaths per 100,000 people. Male patients generally had a higher death rate than female patients.

This dataset includes information regarding deaths with conditions of the cardiovascular system or ischaemic heart disease by underlying cause, by month and year, which occurred between 2010 and 2017. Data value includes males and females in England and Wales.

In 2022, around 30 percent of premature deaths from heart disease among people below the age of 80 living in large central metropolitan areas were preventable. In contrast, this figure was almost 50 percent for premature deaths from heart disease recorded in noncore regions.

This dataset documents rates and trends in heart disease and stroke mortality. Specifically, this report presents county (or county equivalent) estimates of heart disease and stroke death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35–64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (women, men). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.

Rate: Age-adjusted rate of deaths due to coronary heart disease per 100,000 population.

Definition: deaths with coronary heart disease as the underlying cause (ICD-10 codes: I11, I20-I25).

Data Sources:

(1) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

(2) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development.

In 2022, the mortality rate for cardiovascular disease among men in the United States aged 35 years and older was 546.5 per 100,000 population. In comparison, the cardiovascular disease mortality rate among women was around 377 per 100,000 population. Heart disease was the leading cause of death in the United States in 2022.

In 2023, the number of deaths caused by chronic ischemic heart disease in Sweden reached 5,133. It decreased continuously during the period from 2010 to 2022 as there were 7,068 recorded deaths in 2010.

This dataset documents rates and trends in local hypertension-related cardiovascular disease (CVD) death rates. Specifically, this report presents county (or county equivalent) estimates of hypertension-related CVD death rates in 2000-2019 and trends during two intervals (2000-2010, 2010-2019) by age group (ages 35–64 years, ages 65 years and older), race/ethnicity (non-Hispanic American Indian/Alaska Native, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic, non-Hispanic White), and sex (female, male). The rates and trends were estimated using a Bayesian spatiotemporal model and a smoothed over space, time, and demographic group. Rates are age-standardized in 10-year age groups using the 2010 US population. Data source: National Vital Statistics System.

Number of deaths caused by diseases of the circulatory system, by age group and sex, 2000 to most recent year.

MMWR Surveillance Summary 66 (No. SS-1):1-8 found that nonmetropolitan areas have significant numbers of potentially excess deaths from the five leading causes of death. These figures accompany this report by presenting information on potentially excess deaths in nonmetropolitan and metropolitan areas at the state level. They also add additional years of data and options for selecting different age ranges and benchmarks. Potentially excess deaths are defined in MMWR Surveillance Summary 66(No. SS-1):1-8 as deaths that exceed the numbers that would be expected if the death rates of states with the lowest rates (benchmarks) occurred across all states. They are calculated by subtracting expected deaths for specific benchmarks from observed deaths. Not all potentially excess deaths can be prevented; some areas might have characteristics that predispose them to higher rates of death. However, many potentially excess deaths might represent deaths that could be prevented through improved public health programs that support healthier behaviors and neighborhoods or better access to health care services. Mortality data for U.S. residents come from the National Vital Statistics System. Estimates based on fewer than 10 observed deaths are not shown and shaded yellow on the map. Underlying cause of death is based on the International Classification of Diseases, 10th Revision (ICD-10) Heart disease (I00-I09, I11, I13, and I20–I51) Cancer (C00–C97) Unintentional injury (V01–X59 and Y85–Y86) Chronic lower respiratory disease (J40–J47) Stroke (I60–I69) Locality (nonmetropolitan vs. metropolitan) is based on the Office of Management and Budget’s 2013 county-based classification scheme. Benchmarks are based on the three states with the lowest age and cause-specific mortality rates. Potentially excess deaths for each state are calculated by subtracting deaths at the benchmark rates (expected deaths) from observed deaths. Users can explore three benchmarks: “2010 Fixed” is a fixed benchmark based on the best performing States in 2010. “2005 Fixed” is a fixed benchmark based on the best performing States in 2005. “Floating” is based on the best performing States in each year so change from year to year. SOURCES CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES Moy E, Garcia MC, Bastian B, Rossen LM, Ingram DD, Faul M, Massetti GM, Thomas CC, Hong Y, Yoon PW, Iademarco MF. Leading Causes of Death in Nonmetropolitan and Metropolitan Areas – United States, 1999-2014. MMWR Surveillance Summary 2017; 66(No. SS-1):1-8. Garcia MC, Faul M, Massetti G, Thomas CC, Hong Y, Bauer UE, Iademarco MF. Reducing Potentially Excess Deaths from the Five Leading Causes of Death in the Rural United States. MMWR Surveillance Summary 2017; 66(No. SS-2):1–7.

In most middle-aged and older adults, sudden cardiac death is caused by coronary artery disease. In contrast, sudden cardiac death in individuals aged less than 35 years is frequently caused by inherited disorders of cardiac muscle (cardiomyopathies) and cardiac rhythm (ion channelopathies). The genetic nature of many of these diseases means that the relatives of young sudden cardiac death victims are at risk of similar events. In 2004, chapter 8 of the Department of Health's National Service Framework for coronary heart disease recommended family assessment when a sudden cardiac death occurs in a young person. In response to this challenge, The UK Cardiac Pathology Network (UK CPN) was formed in order to provide local coroners with an expert cardiac pathology service and to promote best pathological practice in sudden death cases. A national database allowing UK CPN pathologists to record information on cases referred to them was launched in November 2008 in partnership with the NHS Information Centre for health and social care (NHS IC) and the Department of Health. This first report describes the data collected up to October 2010.

The number of deaths caused by heart disease has decreased in the United States from ***** per 100,000 population in 1990 to ***** deaths per 100,000 population in 2019. Nevertheless, heart disease is still the leading cause of death in the country, followed closely by cancer, which has a mortality rate of ***** per 100,000 people. Heart disease in the U.S.Diseases of the heart and blood vessels are often associated with atherosclerosis, which occurs when plaque builds up along arterial walls. This can limit the flow of blood and can lead to blood clots, a common cause of stroke or heart attacks. Other types of heart disease include arrhythmia (abnormal heart rhythms) and heart valve problems. Many of these diseases can be treated with medication, although many complications will still remain. One of the leading cholesterol lowering drugs in the United States, Crestor, generated around **** billion U.S. dollars of revenue in 2024. Risk Factors for heart disease There are many risk factors associated with the development of heart disease, including family history, ethnicity, and age. However, there are other factors that can be modified through lifestyle changes such as physical inactivity, smoking, and unhealthy diets. Obesity has also been commonly associated with risk factors like hypertension and diabetes type II. In the United States, some ** percent of white adults are currently obese.

A polygon feature class that identidies rate of deaths due to major cardiovascular diseases within Miami-Dade County in 2010. The layer is based on zip code boundaries showing the rate of deaths due to major cardiovascular diseases per 1000 residents of Miami-Dade County in 2010.Updated: Not Planned The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

The number of potentially avoidable deaths and their cause at age 0 to 74 years with corresponding mortality rates/ratios with respective confidence intervals, 2010 - 2014. The specified causes of death are: cancers, colorectal cancer, breast cancer, circulatory system diseases, ischaemic heart disease, cerebrovascular disease, respiratory system diseases, chronic obstructive pulmonary disease, deaths from select external causes of mortality, suicide and self-inflicted injuries, other external causes of mortality, transport accidents. (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. For information on the avoidable mortality concept please refer to the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://phidu.torrens.edu.au/. Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, and ABS Estimated Resident Population (ERP), 30 June 2010 to 30 June 2014.

The number of premature deaths at age 0 to 74 years and their corresponding mortality rates/ratios with respective confidence intervals for: cancers, colorectal cancer, lung cancer, breast cancer, circulatory system diseases, ischaemic heart disease, cerebrovascular disease, respiratory system diseases, chronic obstructive pulmonary disease, deaths from external causes, transport accidents, suicide and self-inflicted injuries, 2010 – 2014 (all entries that were classified as not shown, not published or not applicable were assigned a null value). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, on behalf of the Registries of Births, Deaths and Marriages and the National Coronial Information System. The population at the small area level is the ABS Estimated Resident Population (ERP), 30 June 2010 to 30 June 2014, Statistical Areas Level 2; the population standard is the ABS ERP for Australia, 30 June 2010 to 30 June 2014.

The dataset contains data for US workers who resided and died due to a cardiovascular disease during the periods 2007-2010, in one of 25 US States. Mortality described through proportionate mortality ratios (PMRs) along with the number of deaths is described by the type of cardiovascular disease, gender and age-group of workers, as well as by the industry they worked in.

ObjectiveWe investigated the role of state-level differences in modifiable cardiovascular (CV) risk factors in contributing to state disparities in cardiovascular mortality rates in the US.MethodsAdults aged 45–74 in 2010 were examined. We constructed a CV risk index summarizing state-level exposure to current smoking, obesity, physical inactivity, alcohol abstinence, hypertension, elevated cholesterol, and diabetes using the Behavioral Risk Factor Surveillance System. Outcomes were cardiovascular, coronary heart disease, and stroke mortality. Linear regression was used to estimate associations between the CV risk index and mortality outcomes. Models accounted for state-level socioeconomic characteristics and other potential confounders.ResultsRisk factors were highly correlated at the state-level (Cronbach's alpha 0.85 (men) and 0.92 (women). Each +1SD difference in the cardiovascular risk index was associated with higher adjusted cardiovascular mortality rates by 41.0 (95%CI = 26.3, 55.7) and 33.3 (95%CI = 24.4, 42.2) deaths per 100,000 for men and women, respectively. The index accounted for 8% (men) and 11% (women) of the variation in state-level cardiovascular mortality. Comparable associations were also observed for coronary heart disease and stroke mortality.ConclusionsCV risk factors were highly correlated at the state-level and were independently associated with state CV mortality, suggesting the utility of generalized CV risk reduction.

The number of potentially avoidable deaths and their cause at age 0 to 74 years with corresponding mortality rates/ratios with respective confidence intervals, 2010 - 2014. The specified causes of death are: cancers, colorectal cancer, breast cancer, circulatory system diseases, ischaemic heart disease, cerebrovascular disease, respiratory system diseases, chronic obstructive pulmonary disease, deaths from select external causes of mortality, suicide and self-inflicted injuries, other external causes of mortality, transport accidents. (all entries that were classified as not shown, not published or not applicable were assigned a null value; no data was provided for Maralinga Tjarutja LGA, in South Australia). The data is by LGA 2015 profile (based on the LGA 2011 geographic boundaries). For more information on statistics used please refer to the PHIDU website, available from: http://phidu.torrens.edu.au/. For information on the avoidable mortality concept please refer to the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://phidu.torrens.edu.au/. Source: Data compiled by PHIDU from deaths data based on the 2010 to 2014 Cause of Death Unit Record Files supplied by the Australian Coordinating Registry and the Victorian Department of Justice, and ABS Estimated Resident Population (ERP), 30 June 2010 to 30 June 2014.