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Latest Australian Census Data Maps Best Council Areas

Posted: April 3rd, 2013 | Author: | Filed under: Urban Planning | Tags: , , , , | Comments Off on Latest Australian Census Data Maps Best Council Areas

PEPPERMINT GROVE WANew Australian census data has ranked how well-off each local council area is, showing Western Australia and New South Wales as the states with the most affluent suburbs.

The Socio-Economic Index generated by the 2011 census measures people’s income, type of employment, housing and broadband access in different locations across the country, Dr Gould from the Australian Bureau of Statistics – ABS – says the data can be used by state and local governments to help better target support programs.

The data can be downloaded from the Australian Bureau of Statistics website for use in Google Earth, which interprets the data using Google maps. The small riverside suburb of Peppermint Grove in Perth has been ranked as the country’s most well-off council area, closely followed by Ku-ring-gai in Sydney’s affluent north ::::

ABS CENSUS DATA

Most Advantaged:

  • Peppermint Grove (WA)
  • Ku-ring-gai (NSW)
  • Nedlands (WA)
  • Cottesloe (WA)
  • Cambridge (WA)

The opposite end of the table is dominated by Aboriginal communities in Queensland and the Northern Territory, with Yarrabah near Cairns and Cherbourg in the south Burnett region in the bottom two places.

Most Disadvantaged:

Yarrabah (QLD)
Cherbourg (QLD)
Belyuen (NT)
Aurukun (QLD)
Woorabinda (QLD)

Bureau of Statistics analytical services director Dr Phillip Gould says a range of factors are taken into account when ranking each council area.

“While wealth and income are an important part of that, we also look at education, professions that people work in, and other factors such as if people have access to the internet or are they in a household without employed parents,” Dr Gould said. “So it is something that tries to cover more than just measuring wealth.”

Dr Gould says there are a number of reasons why Indigenous communities are over-represented at the lower end of the table.

“It’s because of lower income levels in these areas, more crowded housing conditions and lower education attainment levels,” Dr Gould said.

Dr Gould says the data can be used by governments to help better target support programs.

source: abs

source: goolge maps

source: abc

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