Demographic profiles for small towns in regional areas

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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2 Responses

  1. Hi Glenn
    thanks for the article – I work for LGNSW. A question that I am often asked by councils and not directly related to blog above is – How do they identify Home Based businesses in the LGA? from demographic or ABR data if you have any tips or advice on how to identify home based businesses Id love to hear about that .

    • Hi Liz,

      Home based businesses can be difficult to capture. We do have a proxy for it in our social atlas. Look in the map selector under “Transport”, and there is “Worked at home in a home based business”. Technically this isn’t 100% accurate. But it does use the Census data for “Worked at home on Census day” along with being an “Owner manager of an incorporated or unincorporated enterprise”. So effectively we are counting business owners who worked at home on Census day. A good proxy for home based businesses but not exactly the same (as they may run a non-home based business but have worked at home on that day). Nevertheless it does show a strong spatial pattern. Farming areas show the highest concentrations, and high socio-economic areas are also high. Australia-wide, 2.8% of the population worked at home in a home based business in 2016.

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