Key takeaways
- Finder's positivity index decreased by 22.3% in April 2025 to 99.54 points.
- The increase in the index was mainly due to decrease in General economic sentiment and Savings.
The fall in the index was largely driven by declines in the general economic and savings categories. The number of respondents who felt positive about their salary outlook over the near term dropped by 13%, while sentiment around monthly living costs fell by 7%. Average cash savings were down 29%, and the average amount saved each month declined by 14%.
In the housing category, mortgage stress decreased by 3%, rent payment stress rose by 2%, and the number of respondents who believed it's a good time to buy property fell by 8%
The share of Australians expecting a pay rise in the next 12 months fell by 2%, while the number anticipating a recession jumped by 30%. Optimism around housing affordability declined by 5%, and there was an 11% increase in Australians feeling stressed about their current financial situation.
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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