The data at the link below show the poorer health status and outcomes experienced by many Aboriginal people, when compared with the non-Indigenous population – whether for low birth weight babies, avoidable deaths, hospitalisations, and many other indicators. The graphs show how the difference exists across levels of socioeconomic status and by remoteness. These are long-standing concerns, defying current attempts to address them.

The data at the link below show the poorer health status and outcomes experienced by many Aboriginal people, when compared with the non-Indigenous population – whether for low birth weight babies, avoidable deaths, hospitalisations, and many other indicators. The graphs show how the difference exists across levels of socioeconomic status and by remoteness. These are long-standing concerns, defying current attempts to address them.

The data at the link below show the poorer health status and outcomes experienced by many Aboriginal people, when compared with the non-Indigenous population – whether for low birth weight babies, avoidable deaths, hospitalisations, and many other indicators. The graphs show how the difference exists across levels of socioeconomic status and by remoteness. These are long-standing concerns, defying current attempts to address them.

Indigenous estimates for self-assessed health and selected chronic conditions and risk factors

Estimates are now available for larger Indigenous Areas, based on Indigenous Region estimates produced by the Australian Bureau of Statistics.

Estimates are now available for larger Indigenous Areas, based on Indigenous Region estimates produced by the Australian Bureau of Statistics.

Estimates are now available for larger Indigenous Areas, based on Indigenous Region estimates produced by the Australian Bureau of Statistics.

Variations in cancer incidence by socioeconomic status and remoteness, 2014 to 2018

The largest variations in cancer incidence by socioeconomic status are seen for lung cancer (92% higher in the Most disadvantaged area (when compared with the Least disadvantaged areas) and 54% higher for females) and melanoma of the skin (with a 23% lower incidence for males, and a 38% lower incidence for females, in the Most disadvantage areas).
Rates for all cancers examined (other than lung cancer) were lowest in the Very Remote areas, suggesting a lack of access to early diagnosis. For lung cancer, rates were lower in the Remote and Very Remote areas.

The largest variations in cancer incidence by socioeconomic status are seen for lung cancer (92% higher in the Most disadvantaged area (when compared with the Least disadvantaged areas) and 54% higher for females) and melanoma of the skin (with a 23% lower incidence for males, and a 38% lower incidence for females, in the Most disadvantage areas).
Rates for all cancers examined (other than lung cancer) were lowest in the Very Remote areas, suggesting a lack of access to early diagnosis. For lung cancer, rates were lower in the Remote and Very Remote areas.

The largest variations in cancer incidence by socioeconomic status are seen for lung cancer (92% higher in the Most disadvantaged area (when compared with the Least disadvantaged areas) and 54% higher for females) and melanoma of the skin (with a 23% lower incidence for males, and a 38% lower incidence for females, in the Most disadvantage areas). Rates for all cancers examined (other than lung cancer) were lowest in the Very Remote areas, suggesting a lack of access to early diagnosis.
For lung cancer, rates were lower in the Remote and Very Remote areas.

PHIDU has created a number of training videos including:
How to: Find a suburb or locality,
How to: Produce a data profile of an area or group of areas,
How to: Aggregate data to larger areas for a percent, IRSD and age standardised rate/ratio, and re-base age standardised ratio/rate.
Webinar: provides an introduction to the PHIDU website; and how to access and use the maps (single, double, and area profile),
data, graphs, publications, population pyramids, and how to map your own data.

PHIDU has created a number of training videos including:
How to: Find a suburb or locality,
How to: Produce a data profile of an area or group of areas,
How to: Aggregate data to larger areas for a percent, IRSD and age standardised rate/ratio, and re-base age standardised ratio/rate.
Webinar: provides an introduction to the PHIDU website; and how to access and use the maps (single, double, and area profile),
data, graphs, publications, population pyramids, and how to map your own data.

PHIDU has created a number of training videos including:
How to: Find a suburb or locality,
How to: Produce a data profile of an area or group of areas,
How to: Aggregate data to larger areas for a percent, IRSD and age standardised rate/ratio, and re-base age standardised ratio/rate.
Webinar: provides an introduction to the PHIDU website; and how to access and use the maps (single, double, and area profile),
data, graphs, publications, population pyramids, and how to map your own data.

Emergency department presentations for mental health-related conditions

These fact sheets describes the age and socioeconomic background of people presenting to an emergency department for mental health-related conditions

These fact sheets describes the age and socioeconomic background of people presenting to an emergency department for mental health-related conditions

These fact sheets describes the age and socioeconomic background of people presenting to an emergency department for mental health-related conditions

Use the Double map atlases to see the screening rates for bowel cancer, breast cancer and cervical cancer compared with a wide range of demographic and socioeconomic characteristics and other health outcomes in your community or region. View at the links below for participation rates and screening outcomes.

Use the Double map atlases to see the screening rates for bowel cancer, breast cancer and cervical cancer compared with a wide range of demographic and socioeconomic characteristics and other health outcomes in your community or region. View at the links below for participation rates and screening outcomes.

Use the Double map atlases to see the screening rates for bowel cancer, breast cancer and cervical cancer compared with a wide range of demographic and socioeconomic characteristics and other health outcomes in your community or region.
View at the links below for participation rates and screening outcomes.

previous arrow
next arrow
Slider