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MyHospitals Profile Data - Number of Beds

MyHospitals provides performance information for public and private hospitals in Australia. You can also compare the performance of these hospitals and find information about hospitals near you.The annual average number of beds available to be used by an admitted patient was grouped into the following categories: fewer than 50, 50-100, 100-200, 200-500 and more than 500. These data are as reported by states and territories to the NPHED, and are referred to in statistical publications (including Australian hospital statistics) as 'average available beds'. The average number of available beds presented may differ from counts published elsewhere. For example, counts based on bed numbers at a specified date such as 30 June may differ from the average available beds over the reporting period. Comparability of bed numbers can be affected by the range and types of patients treated by a hospital. For example, hospitals may have different proportions of beds available for general versus special purposes (such as beds or cots used exclusively for intensive care). Bed counts also include chairs for same-day admissions.Data is current as of December 2015. Data sourced from: http://www.myhospitals.gov.au/about-the-data/download-data

Data and Resources

Additional Info

Field Value
Source https://portal.aurin.org.au
Last Updated September 6, 2019, 00:00 (UTC)
Created May 14, 2019, 06:10 (UTC)
License Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Australia (CC BY-NC-ND 3.0 AU)
Aggregation Level NA
Attribute List Description, Geometry, Hospital Name, Latitude, Longitude, Number of Beds, Number of Beds (Category), Phone Number, Postcode, Sector, State, Street Address, Suburb, Unique Identifier, Website
Attribution National Health Performance Authority, (2016): MyHospitals Profile Data - Number of Beds; accessed from AURIN on [date of access].
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © National Health Performance Authority 2016
Geometry Field geom
Key id
Type dataset
spatial {"type": "Polygon", "coordinates": [[[112.69, -43.9], [159.34, -43.9], [159.34, -10.8], [112.69, -10.8], [112.69, -43.9]]]}