From Australian Urban Research Infrastructure Network

LGA15 Avoidable Mortality-By Sex - 2010-2014

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Created 21/01/2025

Updated 21/01/2025

The number of potentially avoidable deaths from all causes by males, females and total people aged 0 to 74 years and their corresponding mortality rates/ratios with respective confidence intervals, 2010-14 (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.

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Additional Info

Field Value
Title LGA15 Avoidable Mortality-By Sex - 2010-2014
Language English
Licence CC-BY-NC-SA-3.0-AU
Landing Page https://devweb.dga.links.com.au/data/dataset/a419d136-df05-4900-8579-2c22c98ab329
Remote Last Updated 28/06/2023
Contact Point
This publisher has not provided a contact point. Try visiting the original resource for more information: data.gov.au
Reference Period 28/06/2023
Geospatial Coverage {"type": "Polygon", "coordinates": [[[112.92, -43.74], [159.11, -43.74], [159.11, -9.14], [112.92, -9.14], [112.92, -43.74]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "LGA15 Avoidable Mortality-By Sex - 2010-2014". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/tua-phidu-tua-phidu-2015-lga-aust-avo-mrtlt-sex-0-74-yrs-2010-14-lga2011

No duplicate datasets found.