The number of deaths in Australia decreased significantly in 2023 compared to previous years. The number of deaths recorded in 2023 was approximately 46 thousand, compared to about 171 thousand in 2023. Number of deaths due to road accidents In Australia, there were 1,234 road-related fatalities during the course of the year. Drivers had the highest number of road fatalities, followed by motorcyclists and passengers. In the same year, New South Wales recorded the highest number of road deaths with a total of 334 road deaths. This does represent an increase from 2022 and the second-highest number of road fatalities in the last five years. New South Wales and South Australia exhibit comparable tendencies. Number of deaths due to COVID-19 On March 1, 2020, Australia recorded its first COVID-related death. The country recorded fewer than one thousand COVID-19-related deaths within the first year of the pandemic in 2020. By 2022, Australia recorded a total of 16,284 confirmed deaths from COVID-19. Australia has recorded the deaths of 4,258 women between the ages of 80 and 89 due to COVID-19. Moreover, more men between the ages of 80 and 89 have died of COVID-19 in 2022. At the time, the number of deaths among those under the age of 50 was significantly lower than that of those in older age groups.
In the reporting period of 2022-2023, about 7.3 people died per 1,000 standard inhabitants in the Northern Territory in Australia. In comparison, Western Australia recorded 4.91 deaths per 1,000 inhabitants in this period.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains statistics for deaths and mortality in Australia. It includes all deaths that occurred and were registered in Australia, including deaths of persons whose place of usual residence was overseas. Deaths of Australian residents that occurred outside Australia may be registered by individual Registrars, but are not included in Australian Bureau of Statistics (ABS) death statistics.
Standardised death rates in this dataset differ from those in the ABS.Stat datasets and commentary. Standardised death rates in this dataset are averaged using data for the three years ending in the reference year. They are calculated for each calendar year and then averaged. Standardised death rates in the ABS.Stat datasets and commentary are based on death registration data for the reference year only. Null values represent data not available for publication
This dataset uses deaths and estimated resident population (ERP) for Local Government Areas (LGA) of Australia for 30 June 2012 to 2020, according to the 2020 edition of the Australian Statistical Geography Standard (ASGS). ERP is final for 2012 to 2016, revised for 2017 to 2019 and preliminary for 2020, based on the 2016 Census of Population and Housing. Data has been sourced from the September 2021 release.
For more information including which ERP was used in this dataset please visit the Australian Bureau of Statistics (ABS) Explanatory Notes.
AURIN has spatially enabled the original data from the ABS with the 2020 LGA boundaries. The original dataset was shipped from the ABS with incorrect codes (LGA19 instead of LGA20). AURIN has modified these codes to reflect the correct LGA 2020 aggregation.
The number of road traffic accident fatalities in Australia was at 4.7 deaths per 100,000 inhabitants in 2019. Since 1990 the number of road traffic deaths has been declining with 2018 having the lowest road toll per capita in this time series.
In the year ending in July 2023, there were 334 road deaths in New South Wales, Australia. This represents an increase compared to the previous year. Only Tasmania, the Northern Territory, and the Australian Capital Territory had a decrease in road deaths at the same time.
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
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 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.
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
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 Local Government Area (LGA) 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Australia Number of Death: Infant data was reported at 959.000 Person in 2022. This records an increase from the previous number of 956.000 Person for 2021. Australia Number of Death: Infant data is updated yearly, averaging 1,848.000 Person from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 4,655.000 Person in 1971 and a record low of 956.000 Person in 2021. Australia Number of Death: Infant 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. Number of infants dying before reaching one year of age.;Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.;Sum;Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
During the 2022-2023 reporting period, about 5.26 people died per 1,000 standard inhabitants in Australia. This figure represents a slight increase compared to the previous year.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Underlying cause of Death – Accidental poisoning by and exposure to noxious substances 2008 – 2019 by persons
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Australia Completeness of Death Registration with Cause-of-Death Information data was reported at 100.000 % in 2016. This stayed constant from the previous number of 100.000 % for 2010. Australia Completeness of Death Registration with Cause-of-Death Information data is updated yearly, averaging 99.250 % from Dec 1992 (Median) to 2016, with 6 observations. The data reached an all-time high of 100.000 % in 2016 and a record low of 96.600 % in 1997. Australia Completeness of Death Registration with Cause-of-Death Information 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: Population and Urbanization Statistics. Completeness of death registration is the estimated percentage of deaths that are registered with their cause of death information in the vital registration system of a country.;World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).;Weighted average;
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
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).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The data contained in this dataset is based on the Cause Of Death Unit Record File (CODURF) provided by the Australian Coordinating Registry (ACR), the data has been aggregated based on either a single or grouped ICD-10* classification.
Mortality statistics are based on the Cause Of Death Unit Record File (CODURF) provided by the Australian Coordinating Registry (ACR) and are reported by year of occurrence. There can be lags in the registration of deaths with the state or territory registries. Consequently, not all deaths are registered in the year that they occur. In addition, a coroner may investigate a death if the death is unexpected or violent (such as a homicide and suicide), when the identity is unknown, cause of death is not known or if the person is in care or custody. The coronial process can take several years, particularly where an inquest is held, or complex investigations are being undertaken. Therefore, there is a delay in reporting deaths through this process.
Deaths for 2020 and 2021 are preliminary and are subject to change.
The ACT deaths data is collected and maintained by the ACT registrar of Births, Deaths and Marriages (ACT RBDM), which records all medical conditions that directly caused or contributed to the death and were applicable, ie the circumstances surrounding a death (eg. motor vehicle accident).
The National Coronial Information System (NCIS) records and stores information relating to coroner certified deaths for the purposes of retrieval, analysis, interpretation and dissemination to allow for informed death and injury prevention activities.
The Australian Coordinating Registry (ACR) is an agency appointed by state and territory RBDMs and coroners to coordinate and manage approval of coded deaths data.
*The International Statistical Classification of Diseases and Related Health Problems Tenth Revision
The data is presented by the ACT Government for the purpose of disseminating information for the benefit of the public. The ACT Government has taken great care to ensure the information in this report is as correct and accurate as possible. Whilst the information is considered to be true and correct at the date of publication, changes in circumstances after the time of publication may impact on the accuracy of the information. Differences in statistical methods and calculations, data updates and guidelines may result in the information contained in this report varying from previously published information
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
a HR takes age and sex into accountb Additionally adjusted for factors listed in Table 3Reported Physical Activity and Subsequent Mortality in the Tasped Cohort.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset presents life expectancy at birth estimates for males, females and persons. This dataset covers the reference period 2010-12 to 2017-19, and is based on Greater Capital City Statistical Areas (GCCSA), according to the 2016 edition of the Australian Statistical Geography Standard (ASGS).
For further information please visit the Australian Bureau of Statistics.
Internationally, life tables are used to measure mortality. In its simplest form, a life table is generated from age-specific death rates and the resulting values are used to measure mortality, survivorship and life expectancy. The life table depicts the mortality experience of a hypothetical group of newborn babies throughout their entire lifetime. It is based on the assumption that this group is subject to the age-specific mortality rates of the reference period. Typically this hypothetical group is 100,000 persons in size.
AURIN has spatially enabled the original data.
The number of road traffic accident fatalities in Australia was about 926 as of October 2020, a small decrease from the previous year. The number of road traffic deaths had been declining from 1990 to 2018 in the country.
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
Yearly registered deaths – breakdown by Month
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
This dataset presents the footprint of the rate of potentially avoidable deaths per 100,000 people, age-standardised, by sex. Potentially avoidable deaths are deaths below the age of 75 from conditions that are potentially preventable through individualised care and/or treatable through existing primary or hospital care. The data spans the years of 2009-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). The data is based on analysis of the Australian Institute of Health and Welfare (AIHW) National Mortality Database (NMD). The database includes cause of death information which is sourced from the Registrars of Births, Deaths and Marriages in each state and territory, the National Coronial Information System, and compiled and coded by the Australian Bureau of Statistics (ABS). For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Life Expectancy and Potentially Avoidable Deaths 2014-2016 Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. Rates have been age-standardised to facilitate comparisons between populations with different age structures.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Data are collected under the Health Care Act 2008. The Cancer Registry collects information on all invasive (malignant) cancer diagnoses for all South Australian residents and on deaths for these cancer cases. Data include demographic information, details of the cancer including the date of diagnosis, site and histology, and the tests used to diagnose the cancer. For those cancer cases who have died, details of the cause and date of death are collected. \r Further information can be found on the SA Health website.\r
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Australia Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 8.600 % in 2019. This records a decrease from the previous number of 8.700 % for 2018. Australia Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 10.000 % from Dec 2000 (Median) to 2019, with 20 observations. The data reached an all-time high of 12.900 % in 2000 and a record low of 8.600 % in 2019. Australia Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 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. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.4.1 [https://unstats.un.org/sdgs/metadata/].
The number of deaths in Australia decreased significantly in 2023 compared to previous years. The number of deaths recorded in 2023 was approximately 46 thousand, compared to about 171 thousand in 2023. Number of deaths due to road accidents In Australia, there were 1,234 road-related fatalities during the course of the year. Drivers had the highest number of road fatalities, followed by motorcyclists and passengers. In the same year, New South Wales recorded the highest number of road deaths with a total of 334 road deaths. This does represent an increase from 2022 and the second-highest number of road fatalities in the last five years. New South Wales and South Australia exhibit comparable tendencies. Number of deaths due to COVID-19 On March 1, 2020, Australia recorded its first COVID-related death. The country recorded fewer than one thousand COVID-19-related deaths within the first year of the pandemic in 2020. By 2022, Australia recorded a total of 16,284 confirmed deaths from COVID-19. Australia has recorded the deaths of 4,258 women between the ages of 80 and 89 due to COVID-19. Moreover, more men between the ages of 80 and 89 have died of COVID-19 in 2022. At the time, the number of deaths among those under the age of 50 was significantly lower than that of those in older age groups.