Key Takeaways
- 15.3% of males aged 25-34 participated in sports betting weekly in 2023
- Females aged 65+ had highest lottery participation at 55.2% in 2022
- Low SES groups gambled at 55% rate vs 40% high SES in 2022
- In 2022-23, Australians lost $25.0 billion to gambling, representing a 7.0% increase from the previous year
- Poker machines accounted for 50.3% of total gambling expenditure in Australia in 2022-23, totaling $12.7 billion
- Total gambling turnover in Australia reached $323.4 billion in 2022-23, up 9.3% from 2021-22
- 47.6% of Australians aged 18+ gambled in the past 12 months in 2022
- Men were more likely to gamble at 52.3% compared to women at 43.1% in 2022
- Sports betting participation reached 35% among 18-24 year olds in 2023
- 1.0% of Australian adults are problem gamblers (PGSI 8+) in 2022
- Moderate risk gamblers numbered 190,000 or 1.0% of adults in 2022
- Gambling harm affected 1.3 million Australians as primary gamblers in 2023
- Australia has 198,427 poker machines outside casinos as of 2023
- NSW licenses 94,664 gaming machines in clubs/pubs 2023
- Victoria has strict 5km venue separation rules for pokies since 2019
Australians lost $25 billion in 2022 to 2023, with poker machines driving over half the spend.
Demographics
Demographics Interpretation
Economic Impact
Economic Impact Interpretation
Participation Rates
Participation Rates Interpretation
Problem Gambling
Problem Gambling Interpretation
Regulation
Regulation Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Min-ji Park. (2026, February 13). Australian Gambling Statistics. Gitnux. https://gitnux.org/australian-gambling-statistics
Min-ji Park. "Australian Gambling Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/australian-gambling-statistics.
Min-ji Park. 2026. "Australian Gambling Statistics." Gitnux. https://gitnux.org/australian-gambling-statistics.
Sources & References
- Reference 1QGSOqgso.qld.gov.au
qgso.qld.gov.au
- Reference 2BUSINESSbusiness.qld.gov.au
business.qld.gov.au
- Reference 3LIQUORANDGAMINGliquorandgaming.nsw.gov.au
liquorandgaming.nsw.gov.au
- Reference 4VGCCCvgccc.vic.gov.au
vgccc.vic.gov.au
- Reference 5OCBAocba.sa.gov.au
ocba.sa.gov.au
- Reference 6GAMBLINGgambling.tas.gov.au
gambling.tas.gov.au
- Reference 7NTnt.gov.au
nt.gov.au
- Reference 8GAMBLINGgambling.act.gov.au
gambling.act.gov.au
- Reference 9ACMAacma.gov.au
acma.gov.au
- Reference 10GRAgra.gov.au
gra.gov.au
- Reference 11PMCpmc.gov.au
pmc.gov.au
- Reference 12CSRMcsrm.cass.anu.edu.au
csrm.cass.anu.edu.au
- Reference 13GAMBLEAWAREgambleaware.nsw.gov.au
gambleaware.nsw.gov.au
- Reference 14AFSAafsa.gov.au
afsa.gov.au
- Reference 15GAMBLINGHELPONLINEgamblinghelponline.org.au
gamblinghelponline.org.au






