Key takeaways
- Finder’s positivity index increased by 22.3% in June 2025 to 141.85 points.
- The increase in the index was mainly due to Savings and General economic sentiments.
The rise in the index was largely driven by gains in the savings and general economic sentiments. Average cash savings jumped 34%, while the average monthly savings amount rose by 35%. Meanwhile, the proportion of respondents feeling positive about their monthly cost of living increased by 11%. Optimism about the ability to afford a home climbed to 15%, and sentiment around household debt improved by 7%. Also, the share of Australians feeling stressed about their current financial situation fell 5%.
In the housing category, The share of respondents who believed it was a good time to buy property rose by 6%, while the proportion struggling with mortgage repayments fell by 8%.
The proportion of Australians expecting a pay rise in the next 12 months rose 2%, while optimism about continued employment edged up 4%.
What is the Finder Positivity Index?
Finder's Positivity Index is a monthly measure of Australian consumer sentiment, and a useful way to gauge the financial health of Australian consumers at a glance. It provides a snapshot of how Australians feel about their current capacity to earn a decent income; to spend enough to maintain their standard of living; and to save for the future. The index also provides an insight into where the economy as a whole is going in the short term.
The index is collated from over 50,000 responses to Finder's Consumer Sentiment Tracker since May 2019. It is produced by analysing data collected across five broad categories:
- General economic sentiment (65%)
- Housing (15%)
- Savings (10%)
- Credit card usage (5%)
- Shopping behaviour (5%)
Each category is measured with survey responses on how Australians feel about a recession; their wages; wellbeing; their ability to pay for housing; their living costs; use of buy now pay later; and how much they save per month. The final index is a synthesis of these consumer perspectives into a single index to express current and near-term consumer sentiment. This synthesis involves creating separate indexes for each data point with a baseline of 50, then calculating a weighted sum as a final index.
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