Are children staying at home for longer?

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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8 Responses

  1. Simon Kuestenmacher says:

    Technical question: Why use “place of enumeration” data?

    I’ve seen these figures around and they have always been calculated using “place of enumeration” data. In this case shouldn’t “place of usual residence” data be used? Trends stay the same but figures are slightly lower. To the best of my knowledge enumeration data counts kids who visited their parents for dinner on Census night for example. I wouldn’t want these kids included in my data, right?

    • Simon Kuestenmacher says:

      One more question: which Census item did you use CTPP or RLHP?

    • Hi Simon,

      Thanks for the comment. This is a relationship in household variable, so it is ONLY available on place of enumeration basis. People are moved back to their place of usual residence but their household type and relationships are based on the place they are counted. Information on up to 3 people temporarily absent from the household are used to correctly code household type (eg. a couple family with one child away on camp will correctly be coded as a family with children if those temporarily absent are marked on the back page of the form) but the relationship is coded only relative to those in the household on Census night.

      So the second part of your statement is incorrect. Firstly, anyone visiting for dinner would not be counted in that household, but wherever they return to afterwards. Secondly kids who are living away from home, visiting their parents overnight, would have a relationship set to “Visitor in family household”, the same as anyone else staying the night. So they wouldn’t be included in this dataset.

      So, for your other question, I used RLHP, not CTPP. Just looking at it, I think you’d get the same result using CTPP and restricting by age. For RLHP I used all the “Dependent student” and “Non-dependent child” categories to represent children living in the family home, and also restricted to occupied dwellings and persons counted at home in them.

  2. Vasiliki Didaskalou says:

    Does this analysis include / exclude children/adults who are classified as “dependents” (ie. mentally handicapped).

  3. Some of the percentages are more interesting/alarming if they were to be expressed as percentages of the subject rather than out of 100% as a whole. eg: proportion of 20-somethings renting rising 3% from 58.9% in 2011 – that’s 5% in five years – about 1% a year- quite a rapid demographic shift I reckon…

  4. James Allan says:

    Hi Glen,

    Would you by chance have any information on how long renters in Australia are remaining in the renter pool before buying a home?
    In the US, the average is six years, up from two years in the 1970s. We are wondering if there is any similar type of information for Australia.

  1. August 18, 2017

    […] chart from demographers .id, shows the proportion of people in each single year of age from 18 to 40 years old, who are living […]

  2. May 2, 2018

    […] Bureau of Statistics, Labour Force Commentary, February 2018, paragraph 11.8 id, Are children staying at home for longer? paragraph 6 and 9.9AMP.NATSEM Income and Wealth Report, Cost of Kids, page 5, table […]

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