Exploring CPI and theft trends in Victoria (2014–2024)
Image: Illustration of cost-of-living pressure
💬 "As living expenses spiral upward food prices, rent, transport does economic pressure quietly reshape our society? Might this hardship push some toward acts of desperation?"
Do some people resort to theft to survive? We’re not making moral judgments, we’re unpacking a complex intersection of economics, human behaviour, and policy.
Figure: Quarterly CPI changes from 2014–2024 (ABS)
Our illustrates quarterly changes in Australia’s All-Groups Consumer Price Index (CPI) between 2014 and 2024. CPI tracks the average price movement for a standard basket of goods and services essentially serving as the official measure of inflation.
Several notable patterns emerge:
“As the cost of living increases, theft-related crimes also increase.”
This national CPI trend sets the economic backdrop for our investigation. The sustained inflation observed between 2021–2023 means households across Australia including in Victoria faced:
These economic pressures may influence survival driven behaviours including property related crimes such as theft. While CPI itself doesn’t cause crime, it acts as a proxy for financial strain, which in turn can contribute to crime conducive environments.
This context supports the rationale for examining theft offences in Victoria over the same period, to test whether spikes in inflation temporally align with increases in theft as we explore in upcoming slides.
While national CPI offers a broad economic snapshot, Melbourne as one of Australia’s largest metropolitan centres tends to reflect these trends in sharper relief.
In fact, Melbourne CPI closely mirrors national movements but often exhibits more pronounced inflationary spikes due to factors like rising rent, concentrated transport costs, and localised pressures such as lockdown impacts or supply constraints.
As seen above, cost of living pressures in Melbourne intensified after 2020, especially in essentials like food and housing. This amplifies financial stress on vulnerable households, which may under certain conditions be linked to increases in crime like theft.
Figure: CPI changes for Food, Housing, and Transport (Melbourne, 2014–2024)
This chart presents quarterly CPI changes for Melbourne’s three most essential household cost categories: housing, food, and transport. These are everyday necessities meaning their inflation impacts are felt universally, and most intensely by low-income earners.
Together, these categories form the core cost of living pressures many households face. The overlapping surges in housing, food, and transport costs between 2021–2023 may represent a “perfect storm” of inflation raising the possibility that economic desperation contributed to increased crime rates, including theft.
These price trends affect daily survival costs. When multiple necessities rise simultaneously, people on tight budgets face impossible trade-offs.
Would you skip meals to pay rent? Walk to work when fuel prices surge? The cost of living crunch can create conditions where economic desperation makes crime seem like an option.
This makes Melbourne’s CPI composition a critical factor in evaluating potential links between inflation and rising theft offences which we explore next.
This chart tracks the total number of recorded theft offences in Victoria from 2014 to 2024 offering a valuable lens into how crime has evolved during a period marked by significant social and economic shifts.
While we can’t confirm causality from this chart alone, the data suggests a potential link between financial stress and theft. Periods of inflation and household strain appear to align with rising theft rates especially in the most recent years.
This slide acts as a turning point in our analysis: from observing cost of living trends to directly interrogating whether those pressures might influence desperate behaviour and theft crime.
Figure: CPI changes for Food, Housing, and Transport (Melbourne, 2014–2024)
This chart tracks the total number of recorded theft offences in Victoria from 2014 to 2024 offering a valuable lens into how theft related crime has evolved during a period marked by significant social and economic shifts.
While we can’t confirm causality from this chart alone, the data suggests a potential link between financial stress and theft. Periods of inflation and household strain appear to align with rising theft rates especially in the most recent years.
This slide acts as a turning point in our analysis: from observing cost of living trends to directly interrogating whether those pressures might influence desperate behaviour and theft releated crime.
While our original hypothesis proposed a direct relationship that rising cost-of-living pressures (as measured by CPI) would correlate with increases in theft, the data does not support this simplistically. In fact, our comparison reveals little to no consistent alignment between CPI movement and theft offences over the last decade in Victoria.
This does not invalidate the hypothesis outright but rather, it compels us to consider a more complex picture. Human behaviour, especially in response to financial strain, is rarely linear or uniform. Crime trends, too, are shaped by an interplay of social, structural, and policy level influences.
What might be influencing theft rates beyond CPI?
These considerations suggest that while CPI can be a useful indicator of economic stress, it alone is insufficient to predict crime trends like theft. A more holistic approach is needed, one that integrates socio-economic variables, policy response, and geographic specificity.
Thus, this pivot strengthens our analysis, rather than forcing a conclusion, we acknowledge the limits of our hypothesis and open space for more grounded, evidence-based interpretations.
Figure: Annual comparison of theft and non-theft offences (Victoria, 2014–2024)
This chart places theft offences in context alongside the broader landscape of reported crimes in Victoria. Across the decade, non-theft crimes (e.g. assault, fraud, drug offences) consistently outnumber theft offences.
However, theft still constitutes a significant share of total crime volume particularly in economically volatile years like 2020 and 2024.
This slide helps contextualise our earlier findings: While theft alone doesn't dominate crime statistics, its temporal alignment with economic hardship warrants attention.
It reinforces the need to examine the specific pressures influencing property crime and whether such offences are disproportionately sensitive to household financial strain.
We started with a big question:
Does the rising cost of living especially inflation lead to more theft?
It felt like a logical connection. If people are struggling to pay for essentials like rent, food, or transport, wouldn’t that financial pressure push some towards theft?
But as we explored the data, the relationship turned out to be far less straightforward.
When we compared Victoria’s theft rates with the Consumer Price Index (CPI) over the last decade, we expected to see clear overlaps theft going up when inflation surged, and down when prices stabilised.
Instead, we found the opposite in some cases.
For example:
The overall correlation between CPI and theft? Just –0.15. That’s a very weak relationship, and it actually leans in the opposite direction.
This tells us: inflation alone doesn’t explain changes in theft rates.
That doesn’t mean inflation has no impact especially when we break it down into:
These are everyday essentials. For people already doing it tough, even small price jumps in these areas can tip the scales.
Still, even with this added detail, the relationship between theft and inflation isn’t consistent.
We can’t ignore that crime especially theft is complex, and affected by many overlapping factors. These might include:
In short: cost-of-living pressures matter, but they’re just one part of a bigger story.
While inflation and theft may sometimes move together, our analysis suggests that theft in Victoria is shaped by a wider mix of social, economic, and policy conditions not inflation alone.
This realisation doesn't weaken our analysis it actually strengthens it. It shows we’re not forcing a neat conclusion from messy data, but instead letting the evidence guide us to a more nuanced understanding.