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 SSD, 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.

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.

The number of amenable (treatable) deaths of those aged 0 to 74 years and the corresponding mortality rates with respective confidence intervals, by LGA from 2003 to 2007.

This dataset presents the footprint of death data by sex, sourced from the AIHW National Mortality Database. They present statistics by sex for each geographical area, including counts, rates, median age at death, premature deaths, potential years of life lost and potentially avoidable deaths. The data spans the years 2010 to 2014 and is aggregated to Local Government Area (LGA) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS). 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.

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.