How does Woollahra stack up against Woorabinda?
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The Australian Bureau of Statistics (ABS) ranked the nation's local government areas (LGA) on their relative advantage and disadvantage.
2021 Census data shed light on socio-economic status in Australian communities by analysing income, education, employment, occupation and housing.
A breakdown of each region's population data can be found through the ABS' quick stats feature.
The ten most disadvantaged LGAs in Australia
- Woorabinda, Queensland
- Cherbourg, Queensland
- Belyuen, Northern Territory
- West Daly, Northern Territory
- Yarrabah, Queensland
- Kowanyama, Queensland
- Wujal Wujal, Queensland
- East Arnhem, Northern Territory
- Doomadgee, Queensland
- Central Desert, Northern Territory
The ten most advantaged LGAs in Australia
- Woollahra, New South Wales
- Mosman, New South Wales
- Ku-ring-gai, New South Wales
- Darwin Waterfront Precinct, Northern Territory
- North Sydney, New South Wales
- Waverley, New South Wales
- Lane Cove, New South Wales
- Peppermint Grove, Western Australia
- Nedlands, Western Australia
- Cottesloe, Western Australia
ABS head of census dissemination Caroline Deans said nine of the top ten most advantaged LGAs in Australia were on the waterfront or close to the water.
These include Sydney Harbour, the Darwin waterfront and the Swan River in Perth. The top ranked LGA in Australia was Woollahra on Sydney Harbour, she said.
Boroondara was one of the most advantaged and well-educated areas in Victoria, according to ABS.
More than half the area's residents had a university degree while only 26 per cent of Australians generally held higher education qualifications.
The data shows nearby areas could have vastly different advantages, with Queensland towns Noosa and Gympie, placed on opposite ends of the socio-economic ranking.
Noosa ranked in the top 20 per cent of LGAs while Gympie ranked in the lowest 15 per cent.
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How are these rankings used?
Ms Deans said the data was used by all levels of governments to understand their communities and determine things such as funding for services and policy development.
The data was also used to show the relationship between health and education, Ms Deans said.