New insights to social disadvantage – new SEIFA data released

Glenn - The Census Expert

Glenn is our resident Census expert. After ten years working at the ABS, Glenn's deep knowledge of the Census has been a crucial input in the development of our community profiles. These tools help everyday people uncover the rich and important stories about our communities that are often hidden deep in the Census data. Glenn is also our most prolific blogger - if you're reading this, you've just finished reading one of his blogs. Take a quick look at the front page of our blog and you'll no doubt find more of Glenn's latest work. As a client manager, Glenn travels the country giving sought-after briefings to councils and communities (these are also great opportunities for Glenn to tend to his rankings in Geolocation games such as Munzee and Geocaching).

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5 Responses

  1. Hi Glenn
    Really like the updates information!
    The latest details on SEIFA are great, except the reference to Sydney’s Northern Beaches is incorrect I think?
    All the top areas are within Sydney’s North Shore – the Northern Beaches Council / area includes: Manly, Warringah, Pittwater. The areas you refer to aren’t in the Northern Beaches?

    • Thanks Paul, I think some of those are still broadly termed the Northern Beaches, though not in the new Northern Beaches LGA (eg. Mosman). But I’ve changed the reference to be more broadly to Sydney’s northern suburbs.

  2. Nice overview article!

    “Generally, larger areas have more diversity of socio-economic characteristics within them, and so will appear closer to either end of the distribution than in the middle.”

    I think this is backwards.

  3. John de haan says:

    I’ve examined the data set for my lga; east Gippsland, I found that the statistical analysis presents a better picture of my region than the aggregated data set which defines the whole region. For example the highest level of well being of the dataset represent very small populations of large land holdings enjoying a high quality of economic well being. Closely followed by regions that are largely owned by people who have holiday houses. In fact the holiday house ownership is correlated to affluence statistics that arteficially prop up the overall indexes of well being for this region. The data which defines this cohort represents wealthy city dwellers which happen to own a property in this region. This needs to be differentiated in the statistics. Further more the aggregate population bases of this region are Bairnsdale lakes entrance Omeo and Orbost a statiscal correlation that evaluates the ‘resident’ population would be far more insightful when correlated against the balance of itinerant populations and then remove the upper quartile of wealthy land holding individuals in isolated regions and a better profile of the endemic population can be assessed.

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