This dataset presents the footprint of the percentage of distinct clients to alcohol and other drug treatment services (AODTS) by source of referral. 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.

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 location and detailed overview of Australia's public and private hospitals. In 2012–13, there were about 9.4 million separations from hospitals, including: 5.2 million same-day acute separations; 3.7 million overnight acute separations; about 450,000 sub-acute and non-acute separations. There were also 7.9 million non-admitted patient emergency services and more than 46 million outpatient services provided by public hospitals.

For further information about this dataset, visit the data source:Australian Institute of Health and Welfare.

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.

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.

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 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 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.

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.

Abstract This feature layer describes the location of Australia’s public hospitals, operational at some point during the 2022-23 Financial Year. A public hospital is defined as a hospital included in the Australian Institute of Health and Welfare’s (AIHW) National Public Hospital Establishment (NPHE) database, for the relevant financial year. The NPHE database holds data for each public hospital in Australia, including public acute hospitals, psychiatric hospitals, drug and alcohol hospitals and dental hospitals in all states and territories. Hence, public hospitals not administered by the state and territory health authorities (hospitals operated by correctional authorities for example, and hospitals in offshore territories) are not included. For this feature layer, an NPHE hospital is only included if it was also included in the AIHW’s count of public hospitals as reported in the online Hospital Resources data tables for the relevant financial year (2022-23: https://www.aihw.gov.au/getmedia/06f2c08c-f00f-439e-b57c-9a825ffc505c/Hospital-resources-tables-2022-23.xlsx). As noted in the AIHW’s technical appendix accompanying the NPHE data, the number of public hospitals reported can be affected by administrative and/or reporting arrangements and is not necessarily a measure of the number of physical hospital buildings or campuses. For more information on the 2022-23 NPHE see: https://www.aihw.gov.au/getmedia/747ae239-e38b-45a9-8d83-0ac6a3e0726f/hospital-resources-2022-23-appendix.pdf The original data source for the public hospital layer is not the same as the Commonwealth’s list of declared hospitals (https://www.health.gov.au/resources/publications/list-of-declared-hospitals), however, there is considerable cross-over between the NPHE and Commonwealth list. There are a small number of private hospitals in the Commonwealth list of hospitals that are treated as public hospitals by the AIHW in NPHE. For 2022-23, these hospitals are:

Hawkesbury District Health Service (NSW)

Northern Beaches Hospital (NSW)

Mclaren Vale & Districts War Memorial Hospital Incoperated (SA)

Joondalup Health Campus (WA)

St John Of God Midland Public & Private Hospital (WA)

Currency Date modified: September 2024 Modification frequency: As needed Data Extent Spatial Extent West: 96.82° South: -43.74° East: 167.99° North: -9.14° Source Information Australian Institute of Health and Welfare’s (AIHW) National Public Hospital Establishment (NPHE) database Australian Department of Health and Aged care: Geospatial Data Hub Lineage Statement A public hospital is defined as a hospital included in the Australian Institute of Health and Welfare’s (AIHW) National Public Hospital Establishment (NPHE) database, for the relevant financial year. Data Dictionary

Attribute Name Description

OBJECTID Automatically Generated System ID

hsib_id Department of Health and Aged Care unique identifier for each hospital

hosp_name Hospital Name

category Hospital type

street Street

pcode Post Code

suburb Suburb

state State/Territory

xcoord Longitude

ycoord Latitude

Contact Contact: Department of Health and Aged Care - geospatial@health.gov.au

This dataset presents the footprint of the number and rate of emergency department presentations in public hospitals by patient 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 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.

• 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.

• The treatment delivery settings is the main physical setting in which the type of treatment that is the principal focus of a client's alcohol and other drug treatment episode is actually delivered to a client (irrespective of whether or not this is the same as the usual location of the service provider).

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.

The publication Youth detention population in Australia 2016 can be found on the AIHW Website. The report presents information on the youth detention population in Australia, focusing on quarterly trends from June 2012 to June 2016. On an average night in the June quarter 2016, there were just over 900 young people in detention, over half of whom were unsentenced. Numbers and rates of young people in detention dropped slightly over the four years; however, this trend varied between different states and territories. Around half of all young people in detention on an average night were Indigenous. The data set provided on data.gov.au contains data on young people in detention from June 2008 to June 2016. Some data may differ to the results published in Youth detention population in Australia 2016 due to data revisions.

This dataset presents the footprint of the average number of years a person is expected to live at birth by sex, assuming that the current age-specific death rates are experienced throughout their life. The data spans the years of 2011-2016 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 the Australian Institute of Health and Welfare (AIHW) analysis of life expectancy estimates as provided by the Australian Bureau of Statistics (ABS). Life expectancies at birth were calculated with reference to state/territory and Australian life tables (where appropriate) for a three year period. The disaggregation used for reporting life expectancy at birth is PHN area. These values are provided by the 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.: https://www.aihw.gov.au/reports/life-expectancy-deaths/life-expectancy-avoidable-deaths-2014-2016/data

Please note:

• AURIN has spatially enabled the original data using the Department of Health - PHN Areas.: https://www1.health.gov.au/internet/main/publishing.nsf/Content/PHN-Home
• Life expectancy for 2014-2016 are based on the average number of deaths over three years, 2014-2016, and the estimated resident population (ERP) as at 30 Jun 2015.

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

Abstract This feature layer describes the location of Australia’s declared private hospitals, as at December 2024. A private hospital is one that:

Is owned and run by the private sector, including both for-profit companies and not-for-profit organisations.

Is approved and licensed by the relevant state or territory government.

Must be declared to be a hospital by the Minister for Health and Aged Care 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?language=en, 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 December 2024, 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. Currency Date modified: December 2024 Modification frequency: As needed Data Extent Spatial Extent North: -9.14° South: -43.74° East: 167.99° West: 96.82° Source Information Australian Department of Health and Aged care: Geospatial Data Hub Lineage Statement Data collected by the Department of Health and Aged care. Data Dictionary

Attribute Name Description

OBJECTID Automatically generated system ID

hsib_id Department of Health and Aged Care unique identifier for each hospital

hosp_name Hospital name

category Hospital type

street Street

pcode Postcode

suburb Suburb

state State/Territory

xcoord Longitude

ycoord Latitude

Contact Department of Health and Aged Care - geospatial@health.gov.au

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

Underpinning research conducted by AIHW, this dataset contains comprehensive information on intercountry adoptions in Australia, including the characteristics of adopted children and adoptive …Show full descriptionUnderpinning research conducted by AIHW, this dataset contains comprehensive information on intercountry adoptions in Australia, including the characteristics of adopted children and adoptive families. It also reports on the processing times for intercountry adoption.