Student: Sudev Lavin Krishnan
ID: 4206967
For as long as anyone can remember, Australia has been known as the “Lucky Country” - country of sun and space and opportunity. For millions of Australians today, that luck may soon be over. The economic, wage, and urban street silence is unique. This is an explanation of the numbers.
122,000+ Despite rising house prices to all-time highs across the nation, homelessness was up 5.2% for Australians on Census night last year (2021) compared with the 2016 Census.
Sydney’s median house price grew from $555,000 in 2012 to over $1.45 million in 2024 - a 161% increase in just twelve years. The national median has almost doubled. But has wage income caught up with this phenomenal growth?
The jump in inflation was unprecedented for the past 30 years, reaching its highest of 7.8% in 2022 before cooling down in 2023. Earnings simply couldn’t maintain pace and millions of Australians have seen a decrease in real pay, particularly when compared to pre-pandemic levels.
NSW had already hit the internationally recognised “severely unaffordable” level of 5× in 2012. By 2024, all key states have joined - NSW is over 13×. Across Australia, the house has become a dream for most young people under 40 that they just can’t seem to attain.
In 2010, the capital cities of Tasmania and South Australia were actually affordable. By 2024, the whole map turns to red and orange. Sydney’s once-ubiquitous housing crisis has now spread across all parts of the nation - without one single refuge left.
Homelessness continued and in some States worsened despite the increase in house prices over the past 20 years in all of the States. Houses in Queensland and Tasmania, where safe places were previously affordable, are now seeing the number of homeless people increasing along with increasing house prices. The Australian safety net of the ‘lucky country’ is compromised at every level.
Australia’s housing shortage is a policy, market and opportunity failure in five charts:
For the foolish as well as the “lucky” one, the “lucky country” is growing less ‘lucky’.
References
The Australian Bureau of
Statistics (ABS). (2023). Estimating homelessness: Census 2021.
ABS. https://www.abs.gov.au/statistics/people/housing/estimating-homelessness-census/latest-release
Australia’s National Bureau of Statistics. (2024a). Australia CPI
(all items): September: QS.64793.0, 2024 Q2. ABS. https://www.abs.gov.au/statistics/economy/price-indexes-and-inflation/consumer-price-index-australia/latest-release
Australian Government, ABS. (2024b). Total value of dwellings Q3
2024. ABS. https://www.abs.gov.au/statistics/economy/price-indexes-and-inflation/total-value-dwellings/latest-release
Australian Bureau of Statistics (ABS). (2024c). November 2024 WPI
for Australia. ABS. https://www.abs.gov.au/statistics/economy/price-indexes-and-inflation/wage-price-index-australia/latest-release
The ABS has provided the statistical information. (2024d). Earnings
and hours of employees - Australia. ABS. https://www.abs.gov.au/statistics/labour/earnings-and-work-hours/employee-earnings-and-hours-australia/latest-release
Australian Institute of Health and Welfare. (2024). Homelessness and
homelessness services. AIHW. https://www.aihw.gov.au/reports/australias-welfare/homelessness-and-homelessness-services
Demographia. (2024). International Housing Affordability: 2024
Edition. http://www.demographia.com/dhi.pdf
R Core Team.
(2024). R is a program for statistical computing and statistics,
version 4.3.3. The R Foundation for Statistical Computing. https://www.R-project.org
Sievert, C. (2020).
Interactive Web-based Data Visualization using R, plotly, and
shiny. Plotly phrases.Plotly sentences.
Wickham, H, François,
R, Henry, L, Müller, K and Vaughan, D. The R package dplyr: A
grammar of data manipulation (2023). https://CRAN.R-project.org/package=dplyr
Wickham,
H., Vaughan, D., & Girlich, M. Partly messily clean data tidyr:
Tidy messy data (R package version 1.3.1). https://CRAN.R-project.org/package=tidyr
Wickham, H.
A book on ggplot2: Elegant graphics for data analysis (2016).
Springer-Verlag. https://ggplot2.tidyverse.org