This dataset presents the footprint of the percentage of distinct clients to alcohol and other drug treatment services (AODTS) by treatment type. The AODTS data is based on data reported to the AODTS National Minimum Dataset (NMDS). The data spans the financial year of 2016-2017 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). The AODTS data accompanies the Alcohol and other drug treatment services in Australia 2016-17 Report. For further information about this dataset, please visit: Australian Institute of Health and Welfare - AODTS Data Tables. Alcohol and other drug treatment services NMDS 2016-17 Quality Statement. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas.

Data sets from Australian Bureau of Statistics (ABS) https://www.abs.gov.au/articles/dementia-australia#data-downloads and the Australian Institute of Health and Welfare (AIHW) https://www.aihw.gov.au/reports-data/health-conditions-disability-deaths/dementia/data?&page=1 used in a university assignment. Full data sets and licensing are available at the the ABS and AIHW websites.

Extracted in machine readable form from the AIHW Mortality Over Regions and Time (MORT) books.

MORT books are Excel workbooks that contain recent deaths data for specific geographical areas, sourced from the AIHW National Mortality Database. They present summary deaths statistics by sex for each geographic area, including counts, rates, median age at death, premature deaths, potential years of life lost and potentially avoidable deaths. The workbooks also present leading causes of death by sex for each geographic area.

The MORT books present data for 2015–2019. Due to changes in geographic classifications over time, long-term trends are not available.

For more information, please see Deaths data at AIHW or contact us at deaths@aihw.gov.au..

Also available on data.gov.au are the AIHW General Record of Incidence of Mortality (GRIM) data.

This dataset presents the footprint of the birthrate per 1,000 women aged younger than 20 years, by the mother's usual place of residence. The data spans the years 2013-2015 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS).

The data is sourced from the Australian Institute of Health and Welfare (AIHW) National Perinatal Data Collection (NPDC) and historical data for time trends. Where the term 'teenage mother' is used the analysis is based on women who gave birth aged under 20. Teenage mothers and their babies are more likely to experience broader disadvantage, have antenatal risk factors and have poorer maternal and baby outcomes during and after birth, than older mothers and their babies.

The Teenage Mothers in Australia data accompanies the Teenage Mothers in Australia 2015 Report.

For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Teenage Mothers in Australia 2015 Data Tables.

Please note:

• AURIN has spatially enabled the original data.

• Excludes women not usually resident in Australia or whose usual residence was 'Not stated'.

This dataset presents the footprint of the percentage of adults who reported having a long-term health condition. The data spans the years of 2013-2017 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 sourced from the Australian Bureau of Statistics (ABS) 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. It also includes data from previous Patient Experience Surveys conducted in 2013-14, 2014-15 and 2015-16. The Patient Experience Survey is conducted annually by the ABS and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patient Experience Survey collects data on persons aged 15 years and over, who are referred to as adults for this data collection. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Patient experiences in Australia Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. Percentages are calculated based on counts that have been randomly adjusted by the ABS to avoid the release of confidential data.

Extracted in machine readable form from the AIHW General Record of Incidence of Mortality (GRIM) books.

GRIM books are Excel workbooks that contain national level, historical and recent deaths data for specific causes of death. The tables present age- and sex-specific counts and rates by cause of death, along with other summary measures.

GRIM books are available for all causes of death combined and 55 other cause of death groupings. They span different years for different causes of death, depending on the data available. GRIM books for some causes of death start at 1907 and they are the only national electronic tabulations of deaths data by cause registered before 1964. Data from 1964 onwards are sourced from the AIHW National Mortality Database. They include mortality data up to 2023.

For more information, please see Deaths data at AIHW or contact us at deaths@aihw.gov.au.

Also available on data.gov.au are the AIHW Mortality Over Regions and Time (MORT) books.

Health expenditure occurs where money is spent on health goods and services. It occurs at different levels of government, as well as by non-government entities such as private health insurers and individuals.

In many cases, funds pass through a number of different entities before they are ultimately spent by providers (such as hospitals, general practices and pharmacies) on health goods and services.

The term ‘health expenditure’ in this context relates to all funds given to, or for, providers of health goods and services. It includes the funds provided by the Australian Government to the state and territory governments, as well as the funds provided by the state and territory governments to providers.

This data has been superseded, for more recent data on health expenditure, please the AIHW page on health expenditure.

This dataset presents the footprint of the percentage of distinct clients to alcohol and other drug treatment services (AODTS) by treatment delivery setting. The AODTS data is based on data reported to the AODTS National Minimum Dataset (NMDS). The data spans the financial year of 2016-2017 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). The AODTS data accompanies the Alcohol and other drug treatment services in Australia 2016-17 Report. For further information about this dataset, please visit: Australian Institute of Health and Welfare - AODTS Data Tables. Alcohol and other drug treatment services NMDS 2016-17 Quality Statement. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas.

This dataset presents the footprint of the percentage of adults who reported they were covered by private health insurance in the preceding 12 months, by Primary Health Network (PHN) area. The data spans the years of 2015-2016 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 sourced from the Australian Bureau of Statistics (ABS) 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. It also includes data from previous Patient Experience Surveys conducted in 2013-14, 2014-15 and 2015-16. The Patient Experience Survey is conducted annually by the ABS and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patient Experience Survey collects data on persons aged 15 years and over, who are referred to as adults for this data collection. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Patient experiences in Australia Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. Percentages are calculated based on counts that have been randomly adjusted by the ABS to avoid the release of confidential data.

Publication Hospital resources 2016–17: Australian hospital statistics can be found on the AIHW Website.

This dataset presents the footprint of the percentage of adults who reported excellent, very good or good health. The data spans the years of 2013-2017 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 sourced from the Australian Bureau of Statistics (ABS) 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. It also includes data from previous Patient Experience Surveys conducted in 2013-14, 2014-15 and 2015-16. The Patient Experience Survey is conducted annually by the ABS and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patient Experience Survey collects data on persons aged 15 years and over, who are referred to as adults for this data collection. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Patient experiences in Australia Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas. Percentages are calculated based on counts that have been randomly adjusted by the ABS to avoid the release of confidential data.

This dataset presents the footprint of the percentage of patients with costs, the total out-of-pocket cost per patient at the 25th, 50th, 75th and 90th percentile and various statistics for all patients. The data spans the financial year of 2016-2017 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS). The data is sourced from the Medicare Benefits Schedule (MBS) claims data, which are administered by the Australian Government Department of Health. The claims data are derived from administrative information on services that qualify for a Medicare benefit under the Health Insurance Act 1973 and for which a claim has been processed by the Department of Human Services. Data are reported for claims processed between 1 July 2016 and 30 June 2017. The data also contains the results from the ABS 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. The Patient Experience Survey is conducted annually by the Australian Bureau of Statistics (ABS) and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey. The Patients' spending on Medicare Services data accompanies the Patients' out-of-pocket spending on Medicare services 2016-17 Report. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Patients' out-of-pocket spending on Medicare services Data Tables.

This dataset presents the footprint of the number of emergency department presentations in public hospitals by patient demographics and location. Mental health-related emergency department (ED) presentations are defined as presentations to public hospital EDs that have a principal diagnosis of mental and behavioural disorders. However, the definition does not fully capture all potential mental health-related presentations to EDs such as intentional self-harm, as intent can be difficult to identify in an ED environment and can also be difficult to code. The data spans the financial years of 2014-2018 and is aggregated to Statistical Area Level 3 (SA3) geographic areas from the 2016 Australian Statistical Geography Standard (ASGS). State and territory health authorities collect a core set of nationally comparable information on most public hospital ED presentations in their jurisdiction, which is compiled annually into the National Non-Admitted Patient Emergency Department Care Database (NNAPEDCD). The data reported for 2014–15 to 2017–18 is sourced from the NNAPEDCD. Information about mental health-related services provided in EDs prior to 2014–15 was supplied directly to the Australian Institute of Health and Welfare (AIHW) by states and territories. Mental health services in Australia (MHSA) provides a picture of the national response of the health and welfare service system to the mental health care needs of Australians. MHSA is updated progressively throughout each year as data becomes available. The data accompanies the Mental Health Services - In Brief 2018 Web Report. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - Mental health services in Australia Data Tables. Please note: AURIN has spatially enabled the original data.

This feature layer describes the location of Australia's declared private hospitals, as at June 2025. A private hospital is one that:is owned and run by the private sector, including both for-profit companies and not-for-profit organisationsis approved and licensed by the relevant state or territory governmentmust be declared to be a hospital by the Minister for Health and Ageing under section 121-5 of the Private Health Insurance Act 2007 to receive private health insurer benefits.The private hospitals included in this layer largely correlate with the private hospitals reported in the Commonwealth's list of declared hospitals (https://www.health.gov.au/resources/publications/list-of-declared-hospitals), however it excludes a small number of private hospitals that are treated as public hospitals by the AIHW in its online Hospital data: https://www.aihw.gov.au/reports-data/myhospitals. As at April 2025, these hospitals are:NORTHERN BEACHES HOSPITAL (NSW)JOONDALUP HEALTH CAMPUS (WA)ST JOHN OF GOD MIDLAND PUBLIC & PRIVATE HOSPITAL (WA)These hospitals are included in the "Public Hospitals" feature layer.The other reason for variation between the feature layer and the Commonwealth's list of declared hospitals is due to differences between the currency of each data source.

This dataset presents the percentage of distinct clients to alcohol and other drug treatment services (AODTS) by client type and Indigenous status. The AODTS data is based on data reported to the AODTS National Minimum Dataset (NMDS). The data spans the financial year of 2016-2017 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS).

The AODTS data accompanies the Alcohol and other drug treatment services in Australia 2016-17 Report.

For further information about this dataset, please visit:

• Australian Institute of Health and Welfare - AODTS Data Tables.

• Alcohol and other drug treatment services NMDS 2016-17 Quality Statement.

Please note:

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

• The PHN of the client was assigned based on the reported postcode of the client using the Australian Bureau of Statistics' (ABS) Postal Area 2013 to Primary Health Network 2015 concordance file. Clients with an invalid postcode were assigned to the PHN group 'PHN Unallocated' and removed from the analysis.

This dataset presents the footprint of the number and per cent of low birthweight live births, by the mother's usual place of residence. The data spans the year of 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 sourced from the Australian Institute of Health and Welfare (AIHW) National Perinatal Data Collection (NPDC). The NPDC began in 1991 and is a collaborative effort by the AIHW and state and territory health departments. Perinatal data are collected for each birth in each state and territory, usually by midwives and other birth attendants. The data are collated by the relevant state or territory health department and a standard de-identified extract is provided to the AIHW on an annual basis to form the NPDC. The NPDC covers both live births and stillbirths, where gestational age is at least 20 weeks or birth weight is at least 400 grams, except in Victoria and Western Australia, where births are included if gestational age is at least 20 weeks or, if gestation is unknown, birthweight is at least 400 grams. The Mothers and Babies data accompanies the Australia's Mothers and Babies 2016 - In Brief Report. For further information about this dataset, visit the data source: Australian Institute of Health and Welfare - Australia's Mothers and Babies 2016 Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas.

Maternal Mortality Ratio per 100,000 The maternal mortality rate in Australia in 2018 was 5 deaths per 100,000 women giving birth. From 2009 to 2018, there were 251 women reported to have died …Show full descriptionMaternal Mortality Ratio per 100,000 The maternal mortality rate in Australia in 2018 was 5 deaths per 100,000 women giving birth. From 2009 to 2018, there were 251 women reported to have died during pregnancy or within 42 days of the end of pregnancy and a maternal mortality rate of 6.7 deaths per 100,000 women giving birth. Further information can be found here: https://www.aihw.gov.au/reports/mothers-babies/maternal-deaths-in-australia/data

This dataset presents the footprint of the percentage of boys who were fully immunised against human papillomavirus (HPV). The data spans the financial years 2014-2016 and is aggregated to 2015 Department of Health Primary Health Network (PHN) areas, based on the 2011 Australian Statistical Geography Standard (ASGS). HPV is a common sexually transmitted infection. It is estimated that more than four out of five people will have an HPV infection at some point in their lives. Although often asymptomatic, HPV infection can cause a wide range of cancers, including cervical cancer, and other conditions such as genital warts. The Australian Government introduced the school-based National HPV Vaccination Program in 2007 for adolescent girls, and extended it to include boys in January 2013. The data were sourced from the National HPV Vaccination Program Register (HPV Register), which is operated by the Victorian Cytology Service. The HPV Register records information about HPV vaccine doses administered under the National HPV Vaccination Program in Australia. The data reported are for girls and boys aged 15 who had received three doses of HPV vaccine by 30 June 2016 (as at 12 August 2017). The Australian Bureau of Statistics (ABS) Estimated Resident Population (ERP) for females and males aged 13 at 30 June 2014 was used for the denominator, as this reflects the eligible population at the time most vaccinations were administered. For further information about this dataset, visit the data source:Australian Institute of Health and Welfare - HPV immunisation rates in 2015-16 Data Tables. Please note: AURIN has spatially enabled the original data using the Department of Health - PHN Areas.

This dataset presents the footprint of the percentage of women who gave birth and reported smoking tobacco after the first 20 weeks of pregnancy and reported smoking at any time during pregnancy, by the mother's usual residence. This has been calculated with the number of females who gave birth and reported smoking after the first 20 weeks of pregnancy, divided by the total number of females who gave birth and reported smoking during pregnancy, and multiplied by 100. The data spans the years of 2012-2016 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 sourced from the National Perinatal Data Collection (NPDC), which is a national population-based cross-sectional collection of data on pregnancy and childbirth. The data are based on births reported to the perinatal data collection in each state and territory in Australia. Midwives and other birth attendants, using information obtained from mothers and from hospital or other records, complete notification forms for each birth. A standard de-identified extract is provided to the Australian Institute of Health and Welfare (AIHW) on an annual basis to form the NPDC.

Counting perinatal deaths - Various definitions are used for reporting and registering perinatal deaths in Australia. The National Perinatal Data Collection defines perinatal deaths as all fetal …Show full descriptionCounting perinatal deaths - Various definitions are used for reporting and registering perinatal deaths in Australia. The National Perinatal Data Collection defines perinatal deaths as all fetal deaths (stillbirths) and neonatal deaths (deaths of liveborn babies aged less than 28 days) of at least 400 grams birthweight or at least 20 weeks’ gestation. Fetal and neonatal deaths may include late termination of pregnancy (20 weeks or more gestation). Perinatal and fetal death rates are calculated using all live births and stillbirths in the denominator. Neonatal death rates are calculated using live births only. Neonatal deaths may not be included for babies transferred to another hospital, re-admitted to hospital after discharge or who died at home after discharge. The AIHW has established a separate National Perinatal Mortality Data Collection to capture complete information on these deaths. The latest report is available from the AIHW website. Further information can be found here > https://www.aihw.gov.au/reports/mothers-babies/australias-mothers-and-babies-2018-in-brief/contents/table-of-contents and https://www.aihw.gov.au/reports/mothers-babies/australias-mothers-babies-data-visualisations/contents/stillbirths-and-neonatal-deaths