Avoidable mortality (AM) is a simple and practical population-based method of counting untimely and unnecessary deaths from diseases for which effective public health and medical interventions are available. An excess of deaths due to preventable causes should suggest shortcomings in the healthcare system that warrant further attention. Five years of data has been aggregated for all analyses to reduce year-to-year variability in deaths, and the width of confidence intervals for areas with small populations. Data are presented by calendar year (1 Jan to 31 Dec), consistent with the release of mortality data by the Australian Bureau of Statistics.

Avoidable mortality (AM) is a simple and practical population-based method of counting untimely and unnecessary deaths from diseases for which effective public health and medical interventions are available. An excess of deaths due to preventable causes should suggest shortcomings in the healthcare system that warrant further attention. Five years of data has been aggregated for all analyses to reduce year-to-year variability in deaths, and the width of confidence intervals for areas with small populations. Data are presented by calendar year (1 Jan to 31 Dec), consistent with the release of mortality data by the Australian Bureau of Statistics.

Avoidable mortality (AM) is a simple and practical population-based method of counting untimely and unnecessary deaths from diseases for which effective public health and medical interventions are available. An excess of deaths due to preventable causes should suggest shortcomings in the healthcare system that warrant further attention. Five years of data has been aggregated for all analyses to reduce year-to-year variability in deaths, and the width of confidence intervals for areas with small populations. Data are presented by calendar year (1 Jan to 31 Dec), consistent with the release of mortality data by the Australian Bureau of Statistics.

Avoidable mortality (AM) is a simple and practical population-based method of counting untimely and unnecessary deaths from diseases for which effective public health and medical interventions are available. An excess of deaths due to preventable causes should suggest shortcomings in the healthcare system that warrant further attention. Five years of data has been aggregated for all analyses to reduce year-to-year variability in deaths, and the width of confidence intervals for areas with small populations. Data are presented by calendar year (1 Jan to 31 Dec), consistent with the release of mortality data by the Australian Bureau of Statistics.

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 Statistical Area Level 3 (SA3) geographic areas from the 2016 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. Rates have been age-standardised to facilitate comparisons between populations with different age structures.

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.

Preventable mortality for ages 0 to 74 years by SD, 2003 to 2007. For information on the avoidable mortality concept, rationale for including conditions, and ICD-10 codes, please refer to the information available in the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://www.publichealth.gov.au/publications/australian-and-new-zealand-atlas-of-avoidable-mortality.html. The codes and rationale are included in Appendix 1.1: ICD codes, and Appendix 1.2: Rationale for including conditions.

Preventable mortality for ages 0 to 74 years by SLA, 2003 to 2007. For information on the avoidable mortality concept, rationale for including conditions, and ICD-10 codes, please refer to the information available in the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://www.publichealth.gov.au/publications/australian-and-new-zealand-atlas-of-avoidable-mortality.html. The codes and rationale are included in Appendix 1.1: ICD codes, and Appendix 1.2: Rationale for including conditions.

Preventable mortality for ages 0 to 74 years by LGA, from 2003 to 2007. For information on the avoidable mortality concept, rationale for including conditions, and ICD-10 codes, please refer to the information available in the Australian and New Zealand Atlas of Avoidable Mortality, available from: http://www.publichealth.gov.au/publications/australian-and-new-zealand-atlas-of-avoidable-mortality.html. The codes and rationale are included in Appendix 1.1: ICD codes, and Appendix 1.2: Rationale for including conditions.