Regular online bettors in Australia, 2023
February 2025
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On this page:
- Overview
- About the National Gambling Trends Study
- Gambling harm
- Motivations
- Consumer protection
- Gambling harm minimisation action
- Gambling help seeking
- Mental health and wellbeing
- Recommendations for further action
- References
- Acknowledgements
Overview
This report is based on the National Gambling Trends Study 2023 consumer survey – an online survey held between July and September 2023 with Australian adults who bet online on sports or races at least monthly. It reports on trends in gambling harm, online betting motivations, consumer protection, harm reduction actions, help seeking, mental health and wellbeing for regular online bettors.
Key messages
- More than 70% of Australian adults who bet regularly online on sports or races were at risk of or currently experiencing gambling-related harm (scoring 1+) and 21.4% met the criteria for high-risk gambling (scoring 8–27). Risk of gambling harm for respondents was assessed using the Problem Gambling Severity Index (PGSI) measure.
- The 18–34 age group had the highest proportion of those gambling at moderate-risk (25.8%, scoring 3–7) and high-risk (26.1%) levels compared to other age groups.
- Overall, a higher percentage of men fell into the moderate-risk (25.3%) and high-risk (25.3%) gambling classifications than women (22.2% for moderate risk and 14.5% for high risk).
- The most common motivations for online sports or race betting for at-risk regular online bettors were to enjoy a punt (52.4%), make sport more interesting (40.1%) and get financially ahead (30.8%).
- At-risk online bettors (49.1%) were more likely to use consumer protection tools compared to non-risk online bettors (scoring 0; 23%), suggesting high levels of recognition about the need to limit their online betting activity. Similarly, at-risk online bettors (42.6%) were more likely to take gambling harm minimisation actions (e.g. closing an online betting account) compared to non-risk online bettors (9.7%).
- The key reason at-risk online bettors sought help for harm related to their gambling was financial problems (60.0%), while embarrassment (62.7%) was the most common barrier to seeking help.
- Online bettors at high-risk of gambling harm had higher levels of self-reported psychological distress and lower subjective wellbeing compared to online bettors at low risk and those not at risk. Overall, women had lower risk levels of gambling-related harm than men but experienced comparatively higher levels of serious mental illness and lower wellbeing.
- Recommendations for further action include:
- limiting advertising on interactive platforms such as social media
- developing an online gambling public education campaign
- publishing gambling-related public education resources
- ensuring that the most used harm reduction features are easily accessed by consumers
- exploring wagering service provider (WSP)-funded harm reduction measures
- exploring gender-specific interventions that mitigate gambling-related harm for men and women.
About the National Gambling Trends Study
Purpose
This is the second release from the National Gambling Trends Study (NGTS), which is conducted annually by the Australian Gambling Research Centre (AGRC) at the Australian Institute of Family Studies (AIFS).
The aim of the NGTS is to present timely information on recent trends, emerging issues and possible future directions in gambling participation and related harms in Australia. The information is relevant for gambling policy makers and regulators, service providers, researchers and the broader community. Through the dissemination of NGTS, the AGRC aims to support the development and implementation of evidence-based approaches to prevent and reduce gambling-related harm in Australia.
Methods
The NGTS uses mixed-methods research, drawing on data from different sources to increase robustness and reliability. The current release is based on a consumer survey conducted online during July–September 2023 with people who bet online on sports or races (also known as online wagering) on a regular basis (at least monthly) (N = 2,603). These methods do not aim to represent the population estimates of gambling participation and gambling harms in Australia.
A convenience sample of Australian adults completed the online survey covering their demographic characteristics, gambling behaviour (frequency, spend, mode, location, payment methods used, risks and harm), most recent online betting session, alcohol use and smoking, health and wellbeing, help seeking, and use of harm minimisation tools. The sample characteristics of these regular online bettors is presented in Table 1. The median survey duration was 18 minutes.
Reports
This research summary is 1 of 3 published for the 2023 release of the NGTS. The full suite includes:
- Regular online bettors in Australia, 2023
- Consumer perspectives on online betting: Trends in harm minimisation, advertising and normalisation, 2023
- What characteristics of pokies gambling sessions are associated with higher risk gambling? 2023
Table 1: Characteristics of participants in the NGTS 2023 consumer survey of regular online bettors
Characteristics | % (N = 2,603) |
---|---|
State/Territory | |
New South Wales | 30.9 |
Victoria | 27.7 |
Queensland | 17.3 |
South Australia | 7.0 |
Western Australia | 12.1 |
Tasmania | 2.2 |
Australian Capital Territory | 2.2 |
Northern Territory | 0.7 |
Age | |
18–24 years | 14.2 |
25–34 years | 32.8 |
35–49 years | 33.9 |
50–59 years | 9.3 |
60–64 years | 4.0 |
65+ years | 5.8 |
Mean age (years) | 38.1 |
Gender | |
Men | 62.0 |
Women | 37.5 |
Non-binary | 0.3 |
I use a different term | 0.1 |
Prefer not to say | 0.2 |
Birthplace, First Nations status and language | |
Australian born | 83.9 |
Aboriginal and/or Torres Strait Islander | 3.0 |
Speaks language other than English at home | 11.7 |
Relationship and household status | |
In a relationship/married/de facto | 70.2 |
Lives with other people | 85.7 |
Location | |
Lives in a major city | 79.7 |
Lives outside a major city | 20.3 |
Education, employment and income | |
Bachelor’s degree or higher | 46.7 |
Currently studying | 20.8 |
Currently employed | 83.6 |
Median weekly income (AUD$) | 1,250–1,499 |
Gambling harm
I see and hear of a lot of people in my same position, chasing their loses because that’s all we know. It is gambling but they are killing the population. (Male, 22, regular online bettor)
Gambling is a significant public policy issue in Australia. It is associated with a range of harms including financial, health, relationship, psychological, cultural, educational, occupational and criminal (Browne et al., 2016; Langham et al., 2016; Marionneau et al., 2022).
Measuring gambling-related harm
Gambling-related harm is commonly assessed via the Problem Gambling Severity Index (PGSI). The PGSI provides a measure of at-risk gambling behaviour during the previous 12-month period.
It consists of 9 items (questions), such as ‘have you bet more than you could really afford to lose?’, with response options being never (0), sometimes (1), most of the time (2) and almost always (3).
Scores are summed for a total between 0 and 27.
Respondents are grouped into 4 categories based on their scores:
- non-risk (‘non-problem’) gambling (0)
- low-risk gambling (1–2)
- moderate-risk gambling (3–7)
- high-risk (‘problem’) gambling (8–27).
Respondents scoring 1+ may be classified as at-risk of, or already experiencing, gambling-related harm. In this report, we use the term ‘high-risk gambling’ instead of ‘problem gambling’. This is done to de-stigmatise people who are experiencing gambling harms, as the use of the term ‘high-risk’ is less stigmatising than the use of ‘problem’. The term ‘high-risk gambling’ focuses on a public health approach, moving away from a clinical definition.
Source: Ferris & Wynne (2001)
The classification of Australian adults who bet at least monthly on online sports or races according to the PGSI is presented in Figure 1. More than two-thirds (70.1%) met the criteria for at-risk gambling (low-risk, moderate-risk and high-risk combined). More than 20% met the criteria for high-risk gambling and almost a quarter (24.1%) met the criteria for moderate-risk gambling.
Key insight
Regular online bettors were over-represented in the at-risk categories.
Figure 1: Classification of Australian adults who bet regularly online on sports or races according to the Problem Gambling Severity Index (PGSI)

Notes: At-risk gambling during the past 12 months was assessed using the 9-item Problem Gambling Severity Index (PGSI; Ferris & Wynne, 2001). Respondents were grouped into 4 categories based on their scores: non-problem gambling (0), low-risk gambling (1–2), moderate-risk gambling (3–7) and high-risk/‘problem’ gambling (8–27). Respondents scoring 1+ may be classified as being at some risk of, or already experiencing, gambling problems. Participants with missing data on 1 or more of the PGSI items were excluded from the analysis (n = 112; 4.3%).
Gambling harm and age
I think it should be heavily regulated because people younger than me are integrating it into their social lives as something to do together. I was a product of illegal online gambling masked as kids’ games like CSGO during high school but now kids those age have started betting on sports. (Male, 21, regular online bettor)
Within the sample, the 18–34 age group had the highest proportion of bettors in the high-risk (26.1%) and moderate-risk (25.8%) gambling classifications compared to the 35–54 and 55+ age groups (Figure 2). High-risk and moderate-risk gambling proportions declined with age and low-risk gambling proportions generally remained consistent across age groups. Non-risk gambling proportions increased with age.
Gambling expenditure among regular online bettors also varied across age groups. The 18–34 and 55+ age groups reported a median weekly spend of $60 across all forms of gambling, whereas online bettors in the 35–54 age range spent $80. When only looking at high-risk online bettors, the 18–34 age group had a median weekly spend of $300 across all forms of gambling, whereas online bettors in the 35–54 and 55+ age ranges spent $200. Overall, 76.2% of the 18–34 age group, 68.9% of the 35–54 age group and 53.8% of the 55+ age group met the criteria for ‘at-risk gambling’.
Key insight
Young Australians (18–34) who regularly bet online were more at risk of experiencing gambling-related harm but this trend should not underplay the fact that a significant proportion of older online bettors were also at-risk gamblers.
Figure 2: Classification of Australian adults who bet regularly online on sports or races according to the Problem Gambling Severity Index (PGSI) by age

Gambling harm and gender
I see young women and young mothers betting on the AFL while at the game and I’d never really seen that before. (Male, 41, regular online bettor)
Figure 3 shows the distribution of at-risk gambling (PGSI) categories by gender, highlighting several differences in gambling risk levels between men and women who bet regularly online. A higher percentage of men fall into the moderate-risk (25.3%) and high-risk (25.3%) gambling categories than women, who were 22.2% and 14.5% respectively. Conversely, women had higher proportions in the non-risk (34.4%) and low-risk (28.9%) gambling categories compared to men. Expenditure on gambling also differed across gender, with men reporting a higher median weekly total expenditure on gambling compared to women ($100 vs $50 per month).
Key insight
Men reported higher median weekly total gambling expenditure and were more highly represented in the moderate- and high-risk gambling categories than women.
Figure 3: Classification of Australian adults who bet regularly online on sports or races according to the Problem Gambling Severity Index (PGSI), by gender

Motivations
People are desperate for money, they’re doing it tough, and for many, including myself and my partner, we see gambling as a means to increase our funds. It doesn’t, but human nature overrules sense. (Female, 66, regular online bettor)
Participants were asked what motivated them in the past 12 months to bet online on sports and/or racing. The top 3 online betting motivations for non-risk regular online bettors (see Figure 4) were reported to be to enjoy a punt (54.6%), make sport more interesting (35%) and because it is a social activity (28.9%).
The top 2 motivations for at-risk regular online bettors (see Figure 4) were also to enjoy a punt (52.4%) and make sport more interesting (40.1%). However, the third highest motivation for online betting for at-risk online bettors was to get financially ahead (30.8%).
Figure 4: Motivation among Australian adults who are non-risk and at-risk of gambling harm and bet regularly online on sports or racing

Note: Percentages do not add up to 100% as online bettors could select one or more motivations for gambling.
Key insight
Getting financially ahead, boredom, the adrenaline rush, easy access, promotions and chasing losses were some of the key motivations that were higher for at-risk bettors compared to non-risk bettors.
Consumer protection
Many countries have been updating their gambling regulations and legislation to address the challenges posed by online gambling, protect consumers, and ensure responsible gambling practices. (Male, 44, regular online bettor)
Of non-risk online bettors, 23% reported using any consumer protection feature, with the most common features being unsubscribing from direct marketing (5.5%), setting betting (5.9%) and deposit limits (6.3%) and accessing activity statements (12.2%; see Figure 5). Engagement levels with consumer protection tools reported by those classified as non-risk indicate widespread awareness of available consumer protection measures regardless of gambling habits.
Of at-risk online bettors, 49.1% reported using any consumer protection feature, with the most used feature being accessing activity statements (19.9%; see Figure 5). The use of temporary self-exclusion was 2.8% higher than permanent self-exclusion for at-risk bettors, highlighting that some individuals are still hesitant to commit to long-term exclusion.
Key insight
Higher percentages of at-risk than non-risk online bettors reported using all types of consumer protection features, suggesting high levels of recognition about the need to limit their online betting activity through various strategies.
Figure 5: Consumer protection use among Australian adults who are non-risk and at-risk of gambling harm and bet regularly online on sports or racing

Gambling harm minimisation action
I believe it’s the hardest thing I’ve ever found to stop. (Male, 36, regular online bettor)
To understand what respondents were doing to minimise gambling harm, we asked what actions they had taken in the past 12 months to try and control the amount of money or time they spent on any form of gambling. A much lower number of non-risk online bettors take harm minimisation action (9.7%) compared to at-risk online bettors (42.6%).
For non-risk online bettors, the highest percentage was for setting a limit on time spent gambling (3.9%) and most of the other gambling harm minimisation actions were below 2.4%. For at-risk online bettors, the key harm minimisation actions included closing an online betting account (14.8%), setting a limit on time spent gambling (13.7%) and substituting gambling with other activities (11.1%).
Key insight
The most common actions at-risk bettors were taking to minimise gambling harm were closing an online betting account, setting a limit on time spent gambling and substituting gambling with other activities. A much lower number of non-risk online bettors took harm minimisation action.
Figure 6: Actions taken by Australian adults who are non-risk and at-risk of gambling harm and bet regularly online on sports or racing to control their gambling

Gambling help seeking
I know there [have] been significant education campaigns on educating the public on [the] dangers of gambling and to seek help… it’s being widely accepted as a problem. (Female, 25, regular online bettor)
For at-risk online bettors, 5.4% sought help for gambling in the past 12 months, 11.1% wanted to seek help but didn’t and 82.1% stated that they didn’t need help. This is a relatively low rate of help seeking given a significant proportion of the sample met the criteria for at-risk gambling.
Among those who sought help (n = 95), the main types of help that were sought by at-risk regular online bettors included:
- calling a helpline (e.g. Gambler’s Help, Lifeline; 37.9%)
- browsing a gambling help related website or forum (35.8%)
- seeking help from family, friends or work colleagues (30.5%)
- seeking help from a doctor, psychologist or counsellor (27.4%)
- enrolling in a self-exclusion program (26.3%).
The low engagement with help services highlights the need to understand the reasons for seeking gambling help services and barriers to engaging with them.
In terms of reasons for seeking help, among those who did seek help, financial problems were the most reported reason for doing so, followed by health problems, relationship problems, then work/study problems (see Figure 7). Taken together, the help-seeking behaviours of at-risk online bettors demonstrates how gambling harms cut across financial, health, relationship, work, education and other domains.
Figure 7: Gambling help-seeking reasons among Australian adults at-risk of gambling harm who bet regularly online on sports or racing

Note: The figure presents data from a subset of the total sample who were individuals that reported that they did seek help (n = 95).
In terms of barriers to seeking help, among at-risk online bettors who did not seek help but wanted to (11.1%), embarrassment was the most reported barrier (62.7%), followed by not thinking it would help (30.5%), not knowing where to get help (25.4%), financial barriers (22.3%), language barriers (8.3%), then a lack of transport (7.3%; see Figure 8).
Figure 8: Barriers to help seeking among Australian adults at-risk of gambling harm who bet regularly online on sports or racing

Note: The figure presents data from a subset of the total sample who were individuals that reported that they wanted to seek help but didn’t (n = 193).
Key insight
For at-risk bettors, there was a low engagement with help services. Those who did seek help were motivated by a range of harms, especially financial. Those who did not seek help but wanted to reported embarrassment, not thinking it would help, not knowing where to get help and financial reasons as barriers.
Mental health and wellbeing
Measuring mental health and wellbeing
Mental health was assessed using the Kessler Screening Scale for Psychological Distress (K6). It consists of 6 items (questions) related to how the respondent has been feeling during the past 30 days.
Response options were none of the time (0), a little of the time (1), some of the time (2), most of the time (3) and all of the time (4).
The scores for each question were summed to give a total score ranging from 0 to 24. Total scores between 13 and 24 indicate a probable serious mental illness.
Wellbeing was assessed using the Personal Wellbeing Index (PWI), which is a reliable and valid scale for measuring subjective wellbeing among adults.
The scale consists of 7 items that measure standard of living, health, achievement in life, personal relationships, safety, community and future security. Response options were on a 10-point scale that ranged from 0 = completely dissatisfied to 10 = completely satisfied.
The scores for each question were summed to give a total score that was converted to be a value between 0 and 100. Higher total scores indicate higher subjective wellbeing.
Sources: International Wellbeing Group (2013) and Kessler et al. (2002)
Both mental health outcomes and subjective wellbeing varied across gambling risk levels (see Table 2). Generally, online bettors with higher risk levels had higher proportions of serious mental illness and lower subjective wellbeing scores. The trend is consistent across different age groups and genders.
Alarmingly, the proportion of probable serious mental illness classifications is nearly 40% among high-risk online bettors. More younger individuals in the high-risk category (18–34) exhibit serious mental illness compared to older age groups but individuals in the 35–54 age group show lower levels of subjective wellbeing.
Women, particularly in the high-risk category, experience higher levels of serious mental illness and lower wellbeing compared to men.
Key insight
Regular online bettors with higher risk levels had higher proportions of serious mental illness and lower subjective wellbeing scores compared to those with lower risk levels. Women experience higher levels of serious mental illness and lower wellbeing compared to men.
Table 2: Mental health and wellbeing of Australian adults who bet regularly online on sports or racing by PGSI, gender and age
Probable serious mental illness (K6) % | Subjective wellbeing score (PWI) | |
---|---|---|
All | ||
Non-risk | 5.3 | 64.4 |
Low risk | 9.8 | 62.4 |
Moderate risk | 14.7 | 56.6 |
High risk | 39.9 | 46.9 |
Age: 18–34 | ||
Non-risk | 7.2 | 65.5 |
Low risk | 9.6 | 64.2 |
Moderate risk | 14.8 | 58.6 |
High risk | 42.5 | 48.4 |
Age: 35–54 | ||
Non-risk | 4.5 | 63.4 |
Low risk | 12.5 | 60.7 |
Moderate risk | 15.6 | 54.9 |
High risk | 37.0 | 44.7 |
Age: 55+ | ||
Non-risk | 3.8 | 64.5 |
Low risk | 4.2 | 61.3 |
Moderate risk | 10.2 | 53.2 |
High risk | 32.3 | 46.4 |
Gender: Man | ||
Non-risk | 5.1 | 63.5 |
Low risk | 7.8 | 63.0 |
Moderate risk | 9.2 | 58.1 |
High risk | 34.7 | 48.5 |
Gender: Woman | ||
Non-risk | 5.6 | 65.8 |
Low risk | 12.5 | 61.6 |
Moderate risk | 24.9 | 53.7 |
High risk | 53.7 | 43.1 |
Recommendations for further action
Regular online bettors were over-represented in the at-risk of gambling harm categories. It is important to determine if current policy interventions such as online gambling advertising restrictions and self-exclusion programs are sufficient or if additional targeted policy interventions are needed, such as mandatory pre-commitment and loss limits.
One clear trend in the data is that younger Australian adults betting regularly online are more at risk of experiencing gambling-related harm than older regular online bettors, which is consistent with previous NGTS findings (Greer et al., 2023). Young people aged 18–34 years are more likely to be exposed to wagering advertising via ‘interactive media’ (e.g. social media, online) and people aged 55+ are more likely to be exposed via traditional media (e.g. TV, radio, print media; AGRC, 2023). Therefore, limiting advertising on interactive platforms such as social media would benefit young Australians.
As recommended in the ‘You Win Some, You Lose More’ parliamentary inquiry (House of Representatives Standing Committee on Social Policy and Legal Affairs, 2023), it would be useful to develop an online gambling public education campaign that guides at-risk groups, such as young Australians, to make safer choices online. This would include publishing all gambling-related public education resources on the Australian Government’s Student Wellbeing Hub and the Office of the eSafety Commissioner website to help promote awareness of gambling harm to young people and offer strategies to limit exposure.
In terms of motivations for sports and race betting, non-risk bettors viewed online betting more as a form of entertainment and, although at-risk bettors shared this sentiment, they reported motivations for betting as a means to make money. At-risk bettors were also more motivated by the adrenaline rush of betting, which speaks to the psychology of gambling and highlights the role of thrill seeking in the development of high-risk gambling behaviour.
Closing an online betting account and setting a limit on time spent gambling were the most common actions taken by at-risk bettors to try to control the amount of money or time they spent betting. Therefore, it is important that these harm reduction features are easily accessible by consumers on online betting websites, in apps and through other avenues of engagement with wagering service providers.
Embarrassment was the leading barrier to seeking help for online bettors who wanted to but didn’t. This suggests there is strong stigma around gambling-related harm that may be preventing individuals accessing the support they need. Moreover, there was a relatively high percentage of those who didn’t think it would help or didn’t know where to get help.
The findings of this report highlight the need for further funding of online betting harm reduction measures. These include training for staff working in health, community, financial counselling services and crisis and gambling helplines to minimise stigma and provide best practice treatment and support. Furthermore, these findings support the need for development of an online gambling public education campaign centred around reducing stigma and encouraging help-seeking. Another recommendation from the ‘You Win Some, You Lose More’ inquiry was to levy online wagering service providers to fund harm-reduction initiatives such as these.
Women, particularly those at high risk of gambling harm, experience higher levels of serious mental illness and lower wellbeing than men in the same category. It is possible that men are under-reporting their mental health struggles, yet women may also be more susceptible to the emotional and psychological impacts of gambling harm. These findings suggest the need for gender-specific strategies to mitigate gambling-related harm based on gender.
References
Australian Gambling Research Centre. (2023). Exposure and impact of sports and race betting advertising in Australia. Melbourne: Australian Gambling Research Centre, Australian Institute of Family Studies. aifs.gov.au/research/research-snapshots/exposure-and-impact-sports-and-race-betting-advertising-australia
Browne, M., Langham, E., Rawat, V., Greer, N., Li, E., Rose, J. et al. (2016). Assessing gambling-related harm in Victoria: A public health perspective. Melbourne: Victorian Responsible Gambling Foundation. responsiblegambling.vic.gov.au/documents/69/Research-report-assessing-gambling-related-harm-in-vic.pdf
Ferris, J., & Wynne, H. (2001). The Canadian Problem Gambling Index: Final report. Submitted for the Canadian Centre on Substance Abuse (CCSA). Ottawa: Canadian Centre on Substance Abuse. jogoremoto.pt/docs/extra/TECb6h.pdf
Greer, N., Jenkinson, R., Vandenberg, B., & Sakata, K. (2023). Regular online betting in Australia, 2022: National Gambling Trends Study. Melbourne: Australian Gambling Research Centre, Australian Institute of Family Studies. Retrieved from aifs.gov.au/research/research-snapshots/regular-online-betting-australia-2022
House of Representatives Standing Committee on Social Policy and Legal Affairs (SPLA, 2023). You win some, you lose more: Online gambling and its impacts on those experiencing gambling harm. Canberra: Parliament of Australia. Retrieved from www.aph.gov.au/Parliamentary_Business/Committees/House/Social_Policy_and_Legal_Affairs
/Onlinegamblingimpacts/Report
International Wellbeing Group. (2013). Personal Wellbeing Index (5th Edition). Melbourne: Australian Centre on Quality of Life, Deakin University. www.acqol.com.au/instruments#measures
Kessler, R. C., Andrews, G., Colpe, L. J., Hiripi, E., Mroczek, D. K., Normand, S. L. et al. (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32(6), 959–976.
Langham, E., Thorne, H., Browne, M., Donaldson, P., Rose, J., & Rockloff, M. (2016). Understanding gambling related harm: A proposed definition, conceptual framework and taxonomy of harms. BMC Public Health, 16, 1–23. doi.org/10.1186/s12889-016-2747-0
Marionneau, V., Egerer, M., & Raisamo, S. (2022). Frameworks of gambling harms: A comparative review and synthesis. Addiction Research & Theory, 31(1), 69–76. doi.org/10.1080/16066359.2022.2113071
Acknowledgements
The Australian Gambling Research Centre (AGRC) was established under the Commonwealth Gambling Measures Act 2012. Our gambling research program reflects the Act, embodies a national perspective and has a strong family focus. Our work forms part of the functions of the Australian Institute of Family Studies (AIFS).
Featured image: © gettyimages/Wpadington