Ischaemic heart disease was the leading cause of death for Australian males in 2023, with just over ten thousand deaths registered in that year. For Australian women, dementia and Alzheimer's disease were the leading cause of death, followed by Ischaemic heart disease.

Australia Cause of Death: by Injury: % of Total data was reported at 6.178 % in 2021. This records a decrease from the previous number of 6.241 % for 2020. Australia Cause of Death: by Injury: % of Total data is updated yearly, averaging 5.953 % from Dec 2000 (Median) to 2021, with 6 observations. The data reached an all-time high of 6.241 % in 2020 and a record low of 5.673 % in 2010. Australia Cause of Death: by Injury: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.;Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021;Weighted average;

National breakdown of mortality by cause including heart disease, cancer, and dementia.

This dataset presents the footprint of statistics related to the leading causes of death by sex. The reported statistics include cause of death, ranking, total deaths, crude rates, age-standardised rates and rate ratio. The data spans the period between 2012-2016 and is aggregated to Greater Capital City Statistical Area (GCCSA) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS).

Mortality Over Regions and Time (MORT) books are workbooks that contain recent deaths data for specific geographical areas, sourced from the Australian Institute of Health and Welfare (AIHW) National Mortality Database. They present various statistics related to deaths by all causes and leading causes of death by sex for each geographical area.

For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - MORT Books.

Please note:

• AURIN has spatially enabled the original data.

• Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.

• Year refers to the year of registration of death. Deaths registered in 2013 and earlier are based on the final version of the cause of death data; deaths registered in 2014 are based on revised version; deaths registered in 2015 and 2016 are based on preliminary versions. Revised and preliminary versions are subject to further revision by the ABS.

• Cause of death information are based on the underlying cause of death and are classified according to the International Classification of Diseases and Related Health Problems (ICD). Deaths registered in 1997 onwards are classified according to the 10th revision (ICD-10).

• Unknown/missing includes deaths where place of usual residence was overseas, no fixed abode, offshore and migratory, and undefined. Summary measures and cause of death data are not presented for any GCCSA with less than 10 deaths in a single year; they are not presented for 'Other territories' because there were only 42 deaths recorded in 2012-2016.

• Population counts are based on estimated resident populations at 30 June for each year. Australian estimated resident population data are sourced from Australian demographic statistics (ABS cat. no. 3101.0).

This dataset presents the footprint of statistics related to the leading causes of death by sex. The reported statistics include cause of death, ranking, total deaths, crude rates, age-standardised rates and rate ratio. The data spans the period between 2012-2016 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS).

Mortality Over Regions and Time (MORT) books are workbooks that contain recent deaths data for specific geographical areas, sourced from the Australian Institute of Health and Welfare (AIHW) National Mortality Database. They present various statistics related to deaths by all causes and leading causes of death by sex for each geographical area.

For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - MORT Books.

Please note:

• AURIN has spatially enabled the original data.

• Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.

• Year refers to the year of registration of death. Deaths registered in 2013 and earlier are based on the final version of the cause of death data; deaths registered in 2014 are based on revised version; deaths registered in 2015 and 2016 are based on preliminary versions. Revised and preliminary versions are subject to further revision by the ABS.

• Cause of death information are based on the underlying cause of death and are classified according to the International Classification of Diseases and Related Health Problems (ICD). Deaths registered in 1997 onwards are classified according to the 10th revision (ICD-10).

• Unknown/missing includes deaths where place of usual residence was overseas, no fixed abode, offshore and migratory, and undefined. Summary measures and cause of death data are not presented for any SA3 with less than 10 deaths in a single year.

• Population counts are based on estimated resident populations at 30 June for each year. Australian estimated resident population data are sourced from Australian demographic statistics (ABS cat. no. 3101.0).

AU: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 89.627 % in 2021. This records a decrease from the previous number of 89.646 % for 2020. AU: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 89.439 % from Dec 2000 (Median) to 2021, with 6 observations. The data reached an all-time high of 90.351 % in 2010 and a record low of 88.901 % in 2019. AU: Cause of Death: by Non-Communicable Diseases: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.;Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021;Weighted average;

AU: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data was reported at 4.195 % in 2021. This records an increase from the previous number of 4.113 % for 2020. AU: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data is updated yearly, averaging 4.608 % from Dec 2000 (Median) to 2021, with 6 observations. The data reached an all-time high of 4.898 % in 2019 and a record low of 3.976 % in 2010. AU: Cause of Death: by Communicable Diseases & Maternal, Prenatal & Nutrition Conditions: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Communicable diseases and maternal, prenatal and nutrition conditions include infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.;Global Health Estimates, World Health Organization (WHO), uri: https://www.who.int/data/gho/data/themes/mortality-and-global-health-estimates/ghe-leading-causes-of-death, note: Derived based on the data from Global Health Estimates Deaths by Cause, Age, Sex, by Country and by Region, 2000-2021;Weighted average;

This dataset presents the footprint of statistics related to deaths due to all causes (combined) by sex. The reported statistics include year of death, total deaths, crude rates, age-standardised rates, rate ratio, median age at death, premature deaths, potential years of life lost and potentially avoidable deaths. The data spans the years of 2012-2016 and is aggregated to Greater Capital City Statistical Area (GCCSA) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS).

Mortality Over Regions and Time (MORT) books are workbooks that contain recent deaths data for specific geographical areas, sourced from the Australian Institute of Health and Welfare (AIHW) National Mortality Database. They present various statistics related to deaths by all causes and leading causes of death by sex for each geographical area.

For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - MORT Books.

Please note:

• AURIN has spatially enabled the original data.

• Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the National Mortality Database.

• Year refers to the year of registration of death. Deaths registered in 2013 and earlier are based on the final version of the cause of death data; deaths registered in 2014 are based on revised version; deaths registered in 2015 and 2016 are based on preliminary versions. Revised and preliminary versions are subject to further revision by the ABS.

• Cause of death information are based on the underlying cause of death and are classified according to the International Classification of Diseases and Related Health Problems (ICD). Deaths registered in 1997 onwards are classified according to the 10th revision (ICD-10).

• Unknown/missing includes deaths where place of usual residence was overseas, no fixed abode, offshore and migratory, and undefined. Summary measures and cause of death data are not presented for any GCCSA with less than 10 deaths in a single year; they are not presented for 'Other territories' because there were only 42 deaths recorded in 2012-2016.

• Population counts are based on estimated resident populations at 30 June for each year. Australian estimated resident population data are sourced from Australian demographic statistics (ABS cat. no. 3101.0).

Suicide Mortality Rate per 100,000 2016-2019.

Suicide was the 13th leading cause of death in 2019. In 2019, the overall age-standardised suicide rate was 12.9 per 100,000 in Australia.

The Australian Bureau of Statistics, Causes of Death, Australia, 2019 reports that there were 3,318 registered suicides in 2019.

ICD-10 coded top 20 leading causes of death in the Australian population as a whole, and corresponding proportions for this study.

In 2023, lung cancer was estimated to cause the most female deaths out of all the different types of cancer in Australia, with an estimated death toll of almost *****. In contrast, liver cancer was estimated to have caused just over *** female deaths in 2023.

Approximately ***** deaths were estimated to be caused by lung cancer in Australia in 2023, making it the leading cause of cancer-related deaths. Colorectal cancer was estimated to cause over ***** deaths during the same year.

In 2023, it was estimated that the type of cancer which caused the most male deaths in Australia was lung cancer, causing an estimated ***** deaths. Prostate cancer and colorectal cancer were also estimated to cause thousands of males deaths in Australia that same year.

The Burden of Disease study uses methods developed originally for the Global Burden of Disease study refined and adapted to the Victorian context. It provides a comprehensive assessment of the amount of ill health in Victoria, Australia, measured in Ranking of Years of Life Lost and top 50 causes arising from most diseases and injuries.

Years of Life Lost are the mortality component of the DALY determined by the remaining Life Expectancy at the age of death. The Burden of Disease 'data' are modelled estimates, using methods developed originally for the Global Burden of Disease study but refined and adapted to the Victorian context.

This dataset presents the footprint of male cancer mortality statistics in Australia for all cancers combined and the 11 top cancer groupings (bladder, colorectal, head and neck, kidney, leukaemia, lung, lymphoma, melanoma of the skin, pancreas, prostate and stomach) and their respective ICD-10 codes. The data spans the years 2009-2013 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).

Mortality data refer to the number of deaths due to cancer in a given time period. Cancer deaths data are sourced from the Australian Institute of Health and Welfare (AIHW) 2013 National Mortality Database (NMD).

For further information about this dataset, please visit:

• Australian Institute of Health and Welfare - Cancer Incidence and Mortality Across Regions (CIMAR) books.

• Australian Institute of Health and Welfare - 2013 National Mortality Database.

Please note:

• AURIN has spatially enabled the original data using the Department of Health - PHN Areas.

• Due to changes in geographic classifications over time, long-term trends are not available.

• Values assigned to "n.p." in the original data have been removed from the data.

• The Australian and jurisdictional totals include people who could not be assigned a PHN. The number of people who could not be assigned a PHN is less than 1% of the total.

• The Australian total also includes residents of Other Territories (Cocos (Keeling) Islands, Christmas Island and Jervis Bay Territory).

• Cause of Death Unit Record File data are provided to the AIHW by the Registries of Births, Deaths and Marriages and the National Coronial Information System (managed by the Victorian Department of Justice) and include cause of death coded by the Australian Bureau of Statistics (ABS). The data are maintained by the AIHW in the NMD.

• Year refers to year of occurrence of death for years up to and including 2012, and year of registration of death for 2013. Deaths registered in 2011 and earlier are based on the final version of cause of death data; deaths registered in 2012 and 2013 are based on revised and preliminary versions, respectively and are subject to further revision by the ABS.

• Cause of death information are based on underlying cause of death and are classified according to the International Classification of Diseases and Related Health Problems (ICD). Deaths registered in 1997 onwards are classified according to the 10th revision (ICD-10).

• Colorectal deaths presented are underestimates. For further information, refer to "Complexities in the measurement of bowel cancer in Australia" in Causes of Death, Australia (ABS cat. no. 3303.0).

BackgroundCancer and heart disease are the two most common health conditions in the world, associated with high morbidity and mortality, with even worse outcomes in regional areas. Cardiovascular disease is the leading cause of death in cancer survivors. We aimed to evaluate the cardiovascular outcomes of patients receiving cancer treatment (CT) in a regional hospital.MethodsThis was an observational retrospective cohort study in a single rural hospital over a ten-year period (17th February 2010 to 19th March 2019). Outcomes of all patients receiving CT during this period were compared to those who were admitted to the hospital without a cancer diagnosis.Results268 patients received CT during the study period. High rates of cardiovascular risk factors: hypertension (52.2%), smoking (54.9%), and dyslipidaemia (38.4%) were observed in the CT group. Patients who had CT were more likely to be readmitted with ACS (5.9% vs. 2.8% p = 0.005) and AF (8.2% vs. 4.5% p = 0.006) when compared to the general admission cohort. There was a statistically significant difference observed for all cause cardiac readmission, with a higher rate observed in the CT group (17.1% vs. 13.2% p = 0.042). Patients undergoing CT had a higher rate of mortality (49.5% vs. 10.2%, p ≤ 0.001) and shorter time (days) from first admission to death (401.06 vs. 994.91, p ≤ 0.001) when compared to the general admission cohort, acknowledging this reduction in survival may be driven at least in part by the cancer itself.ConclusionThere is an increased incidence of adverse cardiovascular outcomes, including higher readmission rate, higher mortality rate and shorter survival in people undergoing cancer treatment in rural environments. Rural cancer patients demonstrated a high burden of cardiovascular risk factors.

This dataset, released February 2021, contains the statistics of premature mortality by various causes for people below 75 years, over the years 2014 to 2018. Causes for death include cancer (colorectal, lung, breast), diabetes, circulatory system diseases (ischaemic heart disease, cerebrovascular disease), respiratory system diseases (chronic obstructive pulmonary disease), and external causes (road traffic injuries, suicide and self-inflicted injuries)

The data is by Primary Health Network (PHN) 2017 geographic boundaries based on the 2016 Australian Statistical Geography Standard (ASGS).

There are 31 PHNs set up by the Australian Government. Each network is controlled by a board of medical professionals and advised by a clinical council and community advisory committee. The boundaries of the PHNs closely align with the Local Hospital Networks where possible.

For more information please see the data source notes on the data.

Source: Data compiled by PHIDU from deaths data based on the 2014 to 2018 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 is the ABS Estimated Resident Population (ERP) for Australia, 30 June 2014 to 30 June 2018.

AURIN has spatially enabled the original data. Data that was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data) was removed.It has been replaced by by Blank cells. For other keys and abbreviations refer to PHIDU Keys.

This dataset contains data from WHO's data portal covering the following categories:

Air pollution, Child mortality, Dementia diagnosis, treatment and care, Environment and health, Food safety, Global Dementia Observatory (GDO), Global Health Estimates: Life expectancy and leading causes of death and disability, Global Information System on Alcohol and Health, Global Patient Safety Observatory, HIV, Health financing, Health systems, Health taxes, Health workforce, Hepatitis, Immunization coverage and vaccine-preventable diseases, Malaria, Maternal and reproductive health, Mental health, Neglected tropical diseases, Noncommunicable diseases, Nutrition, Oral Health, Priority health technologies, Resources for Substance Use Disorders, Road Safety, Sexually Transmitted Infections, Substance use disorders service coverage, Tobacco control, Tuberculosis, Universal health coverage (UHC), SDG Target 3.8, Vaccine-preventable communicable diseases, Violence prevention, Water, sanitation and hygiene (WASH), World Health Statistics.

For links to individual indicator metadata, see resource descriptions.

In 2022, the most common long-term health condition reported by Australians were mental and behavioral conditions, representing 26.1 percent of the population. By comparison, diabetes and heart diseases affected around five percent of the population each. Mental health in Australia Around 27.6 percent of the Australian population suffered from depression or symptoms of depression in 2020 amidst the COVID pandemic. Despite so many Australians being affected by mental illness, many do not initially seek help or know where to look to find help. For those that do seek help, not for profit organizations like Beyond Blue, the Black Dog Institute, and Sane are available for Australians to receive information and support. For young people, Headspace is a government funded national youth support service. However, in a 2022 survey on where young people go for help, around 80 percent of young people indicated that they feel most comfortable speaking with their friends about important issues such as mental health.  Chronic illness as an underlying cause of death Diabetes was a considerable underlying cause of death in the Australian population in 2020. The rate has not changed significantly over the past 20 years compared to other prevalent causes of death, like cancer. Arthritis, hypertension, and asthma are among the most common chronic illnesses in Australia, but these illnesses alone are not usually significant contributors to a cause of death.

According to Cognitive Market Research, the Global Heart Attack Diagnostics Market Size was USD XX Billion in 2023 and is set to achieve a market size of USD XX Billion by the end of 2031 growing at a CAGR of XX% from 2024 to 2031.

The Heart Attack Diagnostics market will expand significantly by XX% CAGR between 2024 and 2031.
The non-invasive heart attack diagnostics type accounts for the largest market share and is anticipated to a healthy growth over the approaching years.
The Electrocardiogram Heart Attack Diagnostics holds the largest market share compared to others.
The usage of Heart Attack Diagnostics by hospitals & clinics as end-users holds the largest market share compared to others.
North-America region dominated the market and accounted for the highest revenue of XX% in 2022 and it is projected that it will grow at a CAGR of XX% in the future.

Factors Affecting the Heart Attack Diagnostics Market

The unhealthy lifestyles among people are raising heart attacks and related diseases.

The common sedentary lifestyle and poor nutrition are the main causes of heart attacks. It is revealed that youths who lead modern lifestyles are more likely to suffer from heart attacks. Poor food choices like fast food, processed foods, and sugary drinks are all increasing the risk of obesity, cholesterol, and other cardiovascular diseases. Researchers have revealed that being overweight or obese increases a person’s risk of coronary heart disease by up to 28%. (Source: https://www.imperial.ac.uk/news/181111/fat-increased-risk-heart-disease/#:~:text=Researchers%20have%20found%20that%20being,blood%20sugar%20and%20cholesterol%20levels.)

A lack of physical activity, loss of body workout, high tobacco consumption and smoking, high-stress levels, and inadequate healthcare can also lead to an increased risk of such disease. For instance, a new brief by World Health Organizations, the World Heart Federation, and the University of Newcastle Australia revealed that every year, nearly 1.9 million die from tobacco-induced heart disease. (Source:https://www.who.int/news/item/22-09-2020-tobacco-responsible-for-20-of-deaths-from-coronary-heart-disease#:~:text=Every%20year%2C%201.9%20million%20people,Day%2C%20marked%20on%2029%20September.)

This increased prevalence of heart-related cases is pushing people to consult healthcare services leading to the market growth of heart attack diagnostics.

The skill shortage in healthcare services can restrict the growth of the market.

Healthcare organizations face numerous challenges in the recruiting process compared to other industries. The process of attracting and selecting candidates with specific clinical, medical, and administrative skills is crucial and an ongoing battle, especially for positions like physicians, nurses, and specialist practitioners.

Furthermore, the rising portion of the healthcare workforce attaining retirement age, an older population seeking more healthcare services, and new technology shifting, altogether are leading to the shortage of skilled professions along with the rise in the need and demand for the same. The situation got worse when the global pandemic hit and stretched resources to the breaking point creating immense challenges for the service providers.

The Bureau of Labor Statistics (BLS) estimates that the U.S. will face a shortage of 195,400 nurses by 2031. The various reasons from people able to live longer to the unhealthy lifestyles of people leading to the rise in chronic disease, are increasing the need for medical professionals; however, the talent supply is unable to keep up with the demand limiting the growth of the market. (Source: https://www.peoplescout.com/insights/managing-skills-shortage-health-care/)

The increasing Research & Development projects to develop digital technology for improving heart health.

The need for technology-based solutions to enhance heart health is evident yet many people are still hesitant to accept and embrace these solutions due to issues like trust concerns, relevance, and ease of use. This gap creates an opportunity for the research community to present, validate, and create scalable, and engaging health-tech solutions to pursue them. To make it possible, various healthcare service providers, key players, and the government are continuously getting involved in investments and research to find...