Interactive online data

Alcohol and other drug treatment data cubes

These cubes contain data from the Alcohol and Other Drug Treatment Services National Minimum Data Set (AODTS-NMDS) collection. The NMDS is a nationally agreed set of common data items collected by government funded service providers for clients registered for alcohol and other drug treatment. This page contains links to a number of data cubes containing data from the 2001-02, 2002-03, 2003-04, 2004-05, 2005-06, 2006-07 and 2007-08. Alcohol and Other Drug Treatment Services National Minimum Data Set (AODTS-NMDS) collections.

Cancer data

Cancer incidence data are available in the ACIM books and cancer data cubes. Mortality data are available in the ACIM books and GRIM books (see below). Hospital separations data are available in the national hospital morbidity data cubes (see below).

Children's headline indicators

Defined indicators and available data (10 of the 19 Children's Headline Indicators). This information is also available in A picture of Australia's children 2009, which includes more detailed information on each indicator topic area.

Chronic disease indicators

A catalogue of national indicators for chronic disease, including behavioural, biological, psychosocial, early life and environmental risk factors.

Disability data cubes

These cubes provide access to data currently held by the Australian Institute of Health and Welfare. The data are displayed in multidimensional data cubes that can be interrogated by using the drop down menus. Data cubes available are subsets of data from the Commonwealth State/Territory Disability Agreement National Minimum Data Set (CSTDA NMDS) collection for people with a disability during 2006-07, 2005-06, 2004-05, 2003-04 and on snapshot days in 1999, 2000, 2001 and 2002. For more information, or to access these data, please visit the interactive disability data page.

Expenditure data cubes

The Interactive Expenditure Data page contains links to data cubes containing data about health expenditure.

General practice data cubes [external link]

This page links to a series of tables of general practice activity from the Bettering the Evaluation and Care of Health (BEACH) program. BEACH is a continuous survey of encounters between general practitioners and patients across Australia. The tables show the distribution (%) of problems managed at GP-patient encounters classified to body systems according to the International Classification of Primary Care (ICPC-2). For more information about the design, methods and results of the BEACH study, please visit the BEACH page in the Family Medicine Research Centre website http://www.fmrc.org.au/beach.htm

General Record of Incidence of Mortality (GRIM)

The AIHW has compiled long-term mortality data on selected causes of death by age and sex for each year from the beginning of the 20th century, called the GRIM (General Record of Incidence of Mortality) books. They are interactive Excel workbooks updated annually containing comprehensive long-term mortality data on selected causes of death by age and sex for each year.

Indigenous data

These cubes contain data from the Fixing Houses for Better Health (FHBH) program.

Labour force data

The online labour force data page contains links to a number of detailed tables of data on Australia's health and community services labour forces. These tables are compiled by the Institute from data supplied by the state and territory medical boards and health authorities, and the Australian Bureau of Statistics. The publications associated with these tables may also be downloaded in full from these links.

Mental health data cubes

The interactive mental health data cubes contain information on patients admitted to hospital who receive specialised psychiatric care, client episodes in government-operated residential mental health care services and client contacts with government-operated specialised community mental health care services and hospital-based ambulatory care services, such as outpatient and day clinics (for definitions, see the AIHW publication Mental health services in Australia). The variables included in the data cubes are year of collection, sex, age group, mental health legal status, principal diagnosis and, for admitted patients only, hospital type, type of separation and same day separation flag. The admitted patients cubes present information on the numbers of psychiatric care days and patient days as well as the number of separations.

METeOR

Australia's world class registry of national metadata standards has replaced the Knowledgebase. You can view and download from over 2,500 existing data standards or create new ones within your own private workspace.

National hospital morbidity data cubes

The interactive national hospital morbidity data page contains links to a number of data cubes containing information on the principal diagnoses, procedures and diagnosis related groups (DRGs) of patients admitted to Australian hospitals. Data are also available on the principal diagnosis of patients in specialised psychiatric care. The source of these data is the National Hospital Morbidity Database. This database, compiled by the Institute from data supplied by the State and Territory health authorities, is a collection of records for admitted patients separated from public and private hospitals in Australia.

National public hospital establishments data cubes

The interactive national public hospital establishments data page contains links to two data cubes containing information on public hospitals including the number of beds, hospital activity, staffing and financial measures. The source of these data is the National Public Hospital Establishments Database. Data are supplied by the State and Territory health authorities annually.

Risk factor data

Data on the prevalence of a number of risk factors is presented in a series of spreadsheets. Risk factors included are: high blood pressure, high blood cholesterol, body weight, physical inactivity, smoking and alcohol consumption. Data includes age-specific rates, age-standardised rates, and some trends. Follow the link to risk factor data for access.