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LocationYear Study ConductedAgeSourcesSample SizeSampling StrategySurvey DescriptionAdministration MethodResponse RateWeightingThreshold for PG QuestionsAssessment InstrumentGambling AvailabilityPast-Year Gambling PrevalenceProblem Gambling PrevalenceStandardized Problem Gambling PrevalenceStandardization CalculationsDemographic Correlates of PGGame Correlates of PGCommentsReference URLReference URL
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AUSTRALIAN CAPITAL TERRITORY200118+McMillen, J., Tremayne, K., & Masterman-Smith, H. (2001). Survey of the Nature and Extent of Gambling and Problem Gambling in the ACT, 2001. Sydney: Australian Institute for Gambling Research.5445Random selection of listed telephone numbers; random selection within
household; oversampling of regular gamblers; stratified by area, age and gender.		"conducting important social research for the ACT Government about
people’s attitudes to gambling"		telephone interview41.7%Yesparticipated at least once a week in one or all forms of gambling activity
other than lottery games or instant scratch tickets		SOGS-PY; HARM (Elements of Harmful Gambling; Australian Productivity Commission, 1999)106,176 EGMs in NSW&ACT in 2002. Combined population of 6,846,630 in 2001. 64 people per EGM.72.9%SOGS-PY: 1.91% (5+)
HARM: 1.2%		2.2%1.91 * 1.49 * 1.44 * .53 = 2.2%males; under 25 years of age; lower levels of education and income; English speaking backgrounds; singleEGMs; racing; casino table gamesSurvey was to replicate the National Gambling Survey commissioned by the Productivity Commission for its inquiry into Australia's Gambling Industries.http://www.problemgambling.act.gov.au/Survey%20of%20Problem%20Gambling%20in%20the%20ACT.pdf
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AUSTRALIAN CAPITAL TERRITORY200918+Davidson, T. & Rodgers, B. (2010). 2009 Survey of the Nature and Extent of Gambling, and Problem Gambling, in the Australian Capital Territory. Report for the ACT Gambling and Racing Commission, Canberra.5,500 (2,089 subsample)Random digit dialing; selection of youngest person in household; after briefly assessing gambling participation 2,089 people who represented the full spectrum of gambling participation were given more detailed interview."The ACT Gambling and Racing Commission has asked us to conduct
research on gambling, health and wellbeing."		telephone interviewage, gender, marital statusGambled at least 12 or more times in the last 12 months (on activities
other than lottery or scratch tickets), or who reported spending $2,000 or more (on any activity).		CPGI97,259 EGMs in NSW & ACT in 2008. Estimated 347,843 people in ACT in 2008 and 6,980,000 in NSW. 75 People per EGM.70%1.5% (3-7); 0.5% (8+); 2.0% combined1.3%2.0 * .58 * 1.44 * .76 = 1.3%male, young, Australian born, less-well educated, never married, either
unemployed or employed full time.		casino type games on the Internet; casino table games; private card
games for money; betting on sports or other events; keno; EGMs; horse race or dog race betting		http://www.problemgambling.act.gov.au/Recent%20Research/ACT%20Gambling%20Prevalence%20Study.pdf
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AUSTRALIAN CAPITAL TERRITORY2014-201518+Davidson, T., Rodgers, B., Taylor-Rodgers, E., Suomi, A., & Lucas, N. (2015). Final Report: 2014 Survey on Gambling, Health and Wellbeing in the ACT. Prepared for the Australian Capital Territory Gambling and Racing Commission.
6,995 (2,274 subsample)
Random digit dialling; two stage selection process"The ACT Gambling and Racing Commission have asked us to do a survey about gambling, health and wellbeing in the ACT..."telephone interviewage, sex, marital status (weight 1); subsample was also weighted so that levels of gambling were proportionately represented (weight 2)Gambling on any activity in the last 12 monthsCPGI55%1.1% (3-7); 0.4% (8+);1.5% combinedmale, separated/divorced, more likely to be aged under 60; never married.Keno, betting on sports and other events, playing EGMs, table games, and informal games like cards for money.similar surveys conducted in 2001 and 2009; first assessment of gambling using the internethttp://www.gamblingandracing.act.gov.au/__data/assets/pdf_file/0010/846901/2014-Survey-on-Gambling,-Health-and-Wellbeing-in-the-ACT-.pdf
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NEW SOUTH WALES199518+Dickerson, M., Allcock, C., Blaszczynski, A., Nicholls, B., Williams, J., & Maddern, R. (1996). Study 2 - An Examination of the Socio-economic Effects of Gambling on Individuals, Families and the Community, including Research into the Costs of Problem Gambling in NSW. Report for the Australian Institute for Gambling Research, University of Western Sydney, Macarthur.1390stratified by sex and ageface-to-face residential interview(Refusal rate for city sample = 47.5%; Refusal rate for the country sample = 25.9%)weekly participation in gamblingSOGS-L2.58% (5+)1.8%2.58 * 1.49 * .60 *.76 = 1.8%males; metropolitan areas; younger age groups; non-English speakinghorse racing; EGMsPage 89 of 1997 prevalence study report contains table with SOGS values for both 1997 and 1995 studies (differs from figures in 2010 Productivity Commission table).http://www.olgr.nsw.gov.au/rr_see.asp
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NEW SOUTH WALES199718+Dickerson, M., Blaszczynski, A., Nicholls, B., Williams, R., & Maddern, R. (1998). An examination of the Socio-economic Effects of Gambling on Individuals, Families and the Community including Research into the Costs of Problem Gambling in New South Wales: The 1997 Study 2 Update. Report prepared for the Casino Community Benefit Fund, NSW Government.1209Similar methodology to 1995 study stratified by sex, age and areaface-to-face residential interview(Refusal rate for city sample = 24%; Refusal rate for the country sample = 14%)Noweekly participation in gamblingSOGS-L94,426 EGMs in NSW & ACT in 1999. 6,396,703 in NSW in 1999 and
309,900 in ACT. 71 people per EGM.		Not specifically indicated (pp. 30-31 details prevalence for gender and
urban/rural); in general, gambling prevalence similar to 1995 figures.		3.1% (5+)2.4%3.1 * 1.49 * .67 * .76 = 2.4%age 25-34; fully employed as skilled or semi-skilled workers; males;
annual income less than $10,000.		horse racing; EGMsPage 89 of 1997 prevalence study report contains table with SOGS values for both 1997 and 1995 studies (differs from figures in 2010 Productivity Commission table); Opening of the Sydney casino occurred between this survey and the previous NSW survey.
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NEW SOUTH WALES200618+Brockelsby, A., Kenrick, M., & A.C. Nielsen. (2007). Prevalence of
Gambling and Problem Gambling in NSW –  A Community Survey 2006.
Sydney: NSW Office of Liquor, Gaming and Racing.		5,026 (sub-sample = 2,010)Random digit dialing; random selection of household member; a selected sample approach was utilised where all respondents were screened and classified as regular gambler, non-regular gambler or a non-gambler and selectively interviewed depending on their gambling status: 1 in 2 non- gamblers were interviewed; 1 in 4 non-regular gamblers were interviewed; all regular gamblers were interviewed.“people’s gambling activities"telephone interview15%age, sex, area and household sizeParticipation of at least once a week in gambling (other than lottery
games or instant scratch tickets)		CPGI100,308 EGMs in 2006. Population of 6,820,000. 68 people per EGM.69%1.6% (3-7); 0.8% (8+); 2.4% combined1.1%2.4 * .58 * 1.44 * .53 = 1.1%young adult males (aged 18-24 years); never been married; full time work; lower levels of education.EGMs; horse/dog races; linked jackpot gaming machines; higher
denomination machines		https://www.austgamingcouncil.org.au/elibrary
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NEW SOUTH WALES201118+Sproston, K., Hing, N., & Palankay, C. (2012). Prevalence of gambling and problem gambling in New South Wales. Prepared by Ogilvy Illumination and submitted to NSW Office of Liquor, Gaming and Racing. http://www.olgr.nsw.gov.au/pdfs/research/olgr_201210_prevalence_study.pdf10000 (4428 people conducted the full interview)Contact telephone numbers were obtained from SamplePages and one household member (aged 18 or over) was quasi randomly selected, using the last birthday method. A selected sample approach was used, where all respondents were screened, and selectively interviewed, according to their gambling behaviour, and classified as a regular gambler, non-regular gambler, or non-gambler.gambling activitiestelephone interviewage, gender, gambling status, probability of selection of one random adult in householdgambled in the past 12 monthsCPGI65%2.9% (3-7); 0.8% (8+); 3.7% combined male, younger (18-24 years and 35-54 years), be single, be divorced/separated/widowed, unemployed, have low educational attainmentgaming machines; horse or greyhound races; sports or non-sports eventsThe 2011 approach differed from the 2006 method, and therefore the prevalence rates from the two surveys cannot be directly compared; uses modified five-item response codes for the CPGI.
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NEW SOUTH WALES2008-200918+NSW Health. (2010). Gambling Module: NSW Population Health Survey
2008-2009, February 2010.		9,408 (sub-sample = 3,014)Prenotification letter sent describing aims and methods of survey;
random digit dialing; up to 7 calls attempts to contact household, and up to 5 calls to contact a selected respondent.		Part of a general questionnaire on healthtelephone interview63.4%gender, agegambled in the past 12 monthsCPGI97,259 EGMs in 2008. 2008 population of 6,890,000. 71 people per
EGM.		69%1.3% (3-7); 0.4% (8+); 1.7% combined1.4%1.7 * .58 * 1.44 = 1.4%Two reports are provided. One contains data for respondents aged 16 years and over (16+). The other report contains data for respondents aged 18 years and over (18+). The 18+ report is the same as the 16+ report except with the data for 16 and 17 year olds removed.https://www.austgamingcouncil.org.au/elibrary
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NORTHERN TERRITORY200518+Young, M., Abu-Duhou, I., Barnes, T., Creed, E., Morris, M., Stevens, M., & Tyler, B. (2006). Northern Territory Gambling Prevalence Survey 2005. School for Social and Policy Research, Charles Darwin University.5,264 (sub-sample = 1,873)"Two-stage population survey that involved selecting certain individuals
for a full interview based on their gambling participation. Participants were categorised based on their responses to an initial screening questionnaire that assessed the type and frequency of their gambling behaviour; sample stratified by gender, age, and geographic area; sample selected randomly from the electronic White Pages; random selection within household; loose quotas for age and sex and strict quotas for area."		“the study is on gambling”telephone interview37%yesgambled at least once a week on activities other than lottery games or
instant scratch tickets		CPGI; SOGS-PY1,678 EGMs in 2004. 2004 population of 199,900. 119 people per EGM.73% (if raffles are included this figure rises to 85%)CPGI: 0.64% (8+)
SOGS-PY: 1.06% (5+)		1.1%CPGI: .64 * 2.17 * 1.44 * .53 = 1.1%
SOGS-PY: 1.06 * 1.49 * 1.44 * .53 = 1.2% Average = 1.1%		non-English speaking background; households with an income of less
than $20,000 pa.; Indigenous population; less education; males; urban		EGMsSignificant underrepresentation of indigenous people (who comprise 30% of the population) due to the fact than only a minority of indigenous people in the NT have a home phone.http://www.nt.gov.au/justice/policycoord/documents/cbf/Gambling_prevalence.pdf
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NORTHERN TERRITORY201518+Stevens, M. (2017, April). 2015 Northern Territory gambing prevalence and wellbeing survey. Menzies School of Health Research, Charles Darwin University. 4,945dual frame sampling, which included, in addition to the landline telephone frame, three mobile phone lists, from which numbers were randomly selected. "This is one of the world’s few studies to explore a link between gambling and health and well-being. "telephone interviewConsent rate was for 28% for landlines and 44% for mobile phones, with an overall consent rate of 31%.yes - separate population weights developed for the non-Indigenous and Indigenous samples. any gambling.PGSI68% (if raffles are included this figure rises to 76%)CPGI: 0.68% (8+; problem gamblers); 2.9% (3-7; moderate risk gamblers).Indigenous (1.1%), unemployed (4%), full-time students (2.5%), ear 10 or less highest ducation (1.6%) and those on ross
annual income less than $30,000 (1.1%), $100,000 to $119,999 (1%) and $120,000 or more (1.1%).		Informal games (5.8%), EGMs (2.7%), sports betting (2.5%), casino table games (2.3%), keno (2%) and racetrack betting (1.6%).The survey methodology and questions included in the 2015 survey differslightly to that used in 2005 survey.https://justice.nt.gov.au/__data/assets/pdf_file/0019/424135/nt-2015-gambling-prevalence-and-wellbeing-survey.pdf
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QUEENSLAND200118+Gambling Policy Directorate and Office of the Government Statistician. (2002). Queensland Household Gambling Survey 2001. Brisbane: Queensland Treasury.13082"Your household may have recently received a letter from this Office
explaining about an important social survey we are conducting."		telephone interview72.3%Household size, age, sex. Weights also applied to the subset of
respondents who answered all, or nearly all, those questions relevant to them (i.e. who did the long version of the interview), weights for this subset were factored up by the inverse of the fraction doing the long version then adjusted so as to sum to the benchmark data again.		Gambling other than sweepstakes in previous 12 months.CPGI36,192 EGMs in 2002. 2001 population of 3,670,500. 101 people per
EGM.		85%2.7% (3-7); 0.83% (8+); 3.53% combined2.9%3.53 *.58 *1.44 = 2.9%males; 18-34; singlehttp://pandora.nla.gov.au/pan/51569/20050905-0000/www.responsiblegambling.qld.gov.au/knowledge/research/surveys/household_gambling_survey_2001.pdf
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QUEENSLAND2003-200418+Gambling Policy Directorate and Office of the Government Statistician. (2006). Queensland Gambling Household Survey, 2003-04. Brisbane: Queensland Treasury.30000Random digit dialing with random selection within household;
geographically stratified to ensure that approximately 1000 respondents were recruited in each of 30 identified regions of the State		"We are currently conducting an important social survey throughout
Queensland."		telephone interview59.2%age, sex, education, geographyGambling other than sweepstakes in previous 12 months.CPGI41,548 EGMs in 2004. 2004 population of 3,882,037. 93 people per
EGM.		80%2.0% (3-7); 0.55% (8+); 2.55% combined2.1%2.55 *.58 * 1.44 = 2.1%less education; age 18-24EGMshttp://www.olgr.qld.gov.au/resources/responsibleGamblingDocuments/queenslandHouseholdGamblingSurvey0304.pdf
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QUEENSLAND2006-200718+Gambling Policy Directorate and Office of the Government Statistician. (2008). Queensland Gambling Household Survey, 2006– 07. Brisbane: Queensland Treasury.30000Random digit dialing with random selection within household;
geographically stratified to ensure that approximately 1000 respondents were recruited in each of 30 identified regions of the State.		"We are currently conducting an important social survey throughout
Queensland."		telephone interview49.6%yesGambling in past 12 months other than sweepstakesCPGI40,312 EGMs in 2006. 2006 population of 4,090,000. 101 people per
EGM.		75%1.8% (3-7); 0.47% (8+); 2.27% combined1.9%2.27 *.58 * 1.44 = 1.9%age 35 to 54 years; less likely to be married or in a relationship; smokersEGMs; horse/dog racing; keno; casino table games; bingohttp://www.olgr.qld.gov.au/resources/responsibleGamblingDocuments/queenslandHouseholdGamblingSurvey0607.pdf
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QUEENSLAND2008-200918+State of Queensland, Department of Employment, Economic Development and Innovation. (2010). Queensland Household Gambling
Survey 2008-09. Brisbane, Australia: Author.		15000Random digit dialing with random selection within household;
geographically stratified to ensure appropriate representation from each of the 11 identified regions of the State.		"We are conducting important research for the Queensland Government
about social activities and attitudes."		telephone interview39.2%Age, sex, income, educationAll low risk, moderate risk and problem gamblers completed the full
questionnaire. Random samples of non-gamblers and recreational gamblers completed a shortened form of the questionnaire (pp. 87-89 provides details).		CPGI41,671 EGMs in 2008. 2008 population of 4,313,500. 104 people per
EGM.		75%1.6% (3-7); 0.37% ( 8+); 1.97% combined1.6%1.97 * .58 * 1.44 = 1.6%Smokershttp://www.olgr.qld.gov.au/resources/responsibleGamblingDocuments/Queensland_Household_Gambling_Survey_Report_2008-09.pdf
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QUEENSLAND2011-201218+Department of Justice and Attorney-General, State of Queensland. (2012). Queensland Household Gambling Survey 2011–12. Brisbane, Australia: Author. http://www.olgr.qld.gov.au/resources/responsibleGamblingDocuments/Queensland_Household_Gambling_Survey_Report_2011-12.pdf15000The sample was selected from a household-based frame (list) which included both landline and mobile telephone numbers; randomised process was used to select one adult from each household for interview."We are conducting important research for the Qld Government about social activities and attitudes."telephone interview44.6%regional distribution and demographic characteristics of the populationgambled in the past 12 monthsCPGI74%1.9% (3-7); 0.48% ( 8+); 2.38% combinedmen aged 18-34 years over-represented in the low risk, moderate risk and problem gambling groups.The sampling methodology used in the 2011-12 survey was more representative than in previous years [in Queensland].
http://www.olgr.qld.gov.au/resources/responsibleGamblingDocuments/Queensland_Household_Gambling_Survey_Report_2011-12.pdf
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SOUTH AUSTRALIA199618+Delfabbro, P, & Winefield, D. (1996). Community Gambling Patterns and the Prevalence of Gambling-Related Problems in South Australia. Report commissioned by the Department for Family and Community Services. University of Adelaide, South Australia.1206telephone interviewSOGS12,794 EGMs in 19991.2% (5+)EGMsThis report is not available and is not included in the tables or analyses.
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SOUTH AUSTRALIA200118+Taylor, A., Dal Grande, E., Gill, T., Delfabbro, P., Glenn, V., Goulding, S., Weston, H., Barton, S., Rogers, N., Stanley, A., Blandy, R., Tolchard, B., Kingston, R. (2001). Gambling Patterns of South Australians and Associated Health Indicators – May 2001. Adelaide: Department of Human Services.

Delfabbro, P.H. (2005). Population Gambling Trends in South Australia 2001-2004. September 2005. Report prepared for the Department for Families and Communities.		6045Random selection of telephone listings; random selection within
household; prenotification letter; at least 6 call-backs		"We are conducting an important survey about the health and well being of South Australians."telephone interview73.1%age, sex, household sizegambled regularly at least once a fortnight on all types of gambling excluding Lotto and bingoSOGS-PY15,499 EGMs in 2002. 2001 population of 1,519,000. 98 people per
EGM.		76%2.0% (5+)
Problem gamblers were identified if they were “frequent” gamblers (derived in the previous chapter) and if they scored 5 or more on the SOGS scale (Section 5.1.1), or if they rated their gambling problem 5 to 10 on a scale of 1 to 10 (Section 5.1.2). Overall, most of the problem
gamblers were classified using the SOGS scoring method with only a small number (n=10) self-diagnosing themselves as problem gamblers.		4.3%2.0 * 1.49 *1.44 = 4.3%age 25-34; never been married; employed part time or be unemployed;
live in a rented dwelling		Poker; EGMshttp://health.adelaide.edu.au/pros/docs/reports/general/gambling_patterns_sa.pdf
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SOUTH AUSTRALIA200516+South Australian Department for Families and Communities. (2006). Gambling Prevalence in South Australia: October to December 2005.
Adelaide: Author.		17,140 (ages 18+)Telephone numbers were randomly selected from the Adelaide
metropolitan and country regions EWP telephone listings. Within each household, the person who had their birthday most recently; A letter introducing the survey was sent to the household of each selected telephone number; At least 10 call back attempts were made.		"We are conducting an important health, lifestyle and social survey about South Australians." [Telephone]; "I am writing to ask you to take part in an important health, lifestyle and social survey being conducted by the South Australian Department of Health." [Letter].telephone interview64.5%age, sex, geography, household sizeFrequent gamblers’ - defined as those over 18 who had gambled at least fortnightly in the previous twelve months, on any type of gambling excluding lottery and bingo.CPGI (For adults 18+); DSM-IV-Juvenile-PY (For ages 16-17)15,688 EGMs in 2004. 2005 population of 1,542,000. 98 people per
EGM.		69.5%CPGI: 1.2% (3-7); 0.4% (8+); combined = 1.6%1.3%1.6 * .58 * 1.44 = 1.3%male; no children in the household; secondary school education onlyEGMsThe DSM-IV-Juvenile-PY found that 1% of 16 and 17 year olds were classified as problem gamblers.http://hdl.handle.net/1880/49968
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SOUTH AUSTRALIA201216+Social Research Centre. (2013). Gambling prevalence in South Australia (2012). North Melbourne, Australia: Author.9402The in-scope population for the survey is South Australian residents aged 16 years and over contactable by either a landline or mobile phone. Data collection was via Computer Assisted Telephone Interviewing (CATI); An explanation of the dual-frame sampling methodology and its application to this survey is provided in a separate Technical Report (Gambling Prevalence in South Australia (2012); Technical and Methodological Summary Report; July 2013)"We are telephoning South Australians about an important survey into gambling, lifestyle and health issues."telephone interviewcooperation rate = 53.4%; response rate = 32.5% [AAPOR
Response Rate 3]		A four-step weighting procedure (further details are provided in a separate Technical Report) was adopted for the survey; adjusted by region, to the age, sex and educational attainment profile of
the South Australian population aged 16 year and over.		gambling on any form in past 12 months.CPGI (For adults 18+); DSM-IV-Juvenile-PY (For ages 16-17)68.8%CPGI: 2.5% (3-7); 0.6% (8+); 3.1% combinedmales; from households with only one person aged 16 years or more; those exhibiting two or more indicators of financial stress; separated or divorced marital status; those with no formal post-secondary education qualification; people from an Aboriginal or Torres Strait Islander cultural background; and those with annual household incomes below $15,600.

[Problem Gamblers] Showed a disproportionately high prevalence of all gambling activities except for purchasing lotto/lottery tickets. In 2005 the PGSI questions were only administered to “frequent gamblers” (that is, people who gambled at least once a fortnight on any type of gambling activity apart from lotteries or bingo); as a result, meaningful comparisons between 2005 and 2012 figures can only be made for this group of “frequent gamblers”.

http://hdl.handle.net/1880/49969
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SOUTH AUSTRALIA201818+Woods, A., Sprotson, K., Brook, K., Delfabbro, P. & O'Neil, M. (2018). Gambling Prevalence in South Australia (2018): Final Report. Department of Human Services, South Australia.20,017As with the previous research in 2005 (n=17,745) and 2012 (n=9,508), the 2018 study involved a telephone survey of a large (n=20,017), representative sample of residents of SA.https://problemgambling.sa.gov.au/__data/assets/pdf_file/0017/80126/2018-SA-Gambling-Prevalence-Survey-Final-Report-Updated-07.02.19.pdf
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TASMANIA199418+Dickerson, M., Walker, M. & Baron, E. (1994). A Baseline Study on the Extent and Impact of Gambling in Tasmania. Australian Institute of Gambling Research, Sydney.1220Quotas set on area, age and sex to ensure representativeness of the
sample.		face-to-face residential interview(Refusal rate = 23%)Gambling weekly or moreSOGS-PY (a past year time frame is presumed based on information from subsequent studies)72%1.14% (5+) (as reported in Dickerson & Maddern, 1997)
0.90% (5+) (as reported in Roy Morgan Research, 2001, 2006)		1.3%.90 *1.49 =1.3%Unable to locate original report.
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TASMANIA199618+Dickerson, M., & Maddern, R. (1997). The Extent and Impact of Gambling in Tasmania with Particular Reference to Problem Gambling: A Follow up to the Baseline Study Conducted in 1994. Australian Institute for Gambling Research.1211random sample stratified by age, sex and locality; 4 call-backs; random selection within household“survey on behalf of the Tasmanian Gaming Commission about your attitudes to gaming”telephone interview(Refusal rate = 5.4%)Gambling on any form in past 12 months.SOGS-Past 6-months2,373 EGMs in 1999. 1996 population of 459,212. 194 people per EGM.89%2.84% (5+) (as reported in the study)
2.97% (5+) (as reported in Roy Morgan Research, 2001, 2006)		6.4%2.97 * 1.49 * 1.44 = 6.4%metropolitan areas; malesTAB betting (horse/dog racing, sports betting); telephone betting; club
keno		Complete SOGS scores (0-16) for survey years 2005, 2000, 1996, and
1994-REVISED are listed on page 287 of 2005 report; The purpose of the study was primarily to ensure that the baseline information from 1994 was updated to be an accurate reflection of the situation immediately prior to the extension of the availability of EGMs beyond the casinos from
1st January 1997.		http://www.dhhs.tas.gov.au/__data/assets/pdf_file/0004/7960/report96.pdf
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TASMANIA200018+Roy Morgan Research. (2001). The Third Study into the Extent and Impact of Gambling in Tasmania with Particular Reference to Problem Gambling.Prepared for Department of Health and Human Services.1223Random sample of listed numbers; quotas were set on age, gender and
locality to ensure a representative sample.		"Today, we are conducting a survey on behalf of the Department of
Health and Human Services of Tasmania about your attitudes to gambling"		telephone interviewyesGambling on any form in past 12 months.SOGS-PY2,373 EGMs in 1999. 2000 population of 470,376. 198 people per EGM.82%0.90% (5+)1.5%0.9 *1.49 * 1.44 * .76 = 1.5%males; age 35-49; skilled workers; income earners <$50,000.EGMs; betting on horses or greyhounds at the trackhttp://www.dhhs.tas.gov.au/__data/assets/pdf_file/0007/7963/tas_gambling_report_feb2001.pdf
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TASMANIA200518+Roy Morgan Research. (2006). The Fourth Study into the Extent and Impact of Gambling in Tasmania with Particular Reference to Problem Gambling.  Roy Morgan Research Pty Ltd for Department of Health and Human Services.6,048 (sub-sample = 2,003 completed full interview)Random sampling from listed numbers; random selection within household; all respondents went through initial screening and were
classified as regular, non-regular or non-gambler; all regular gamblers subsequently interviewed, one in four non-regular gamblers, one in two non-gamblers.		"Today we are conducting a survey for the Department of Health and
Human Services on gambling in Tasmania"		telephone interviewage, sex, geography, household sizeFor CPGI, questions were only administered to 'Regular Gamblers' (participated weekly or equivalent of weekly over the course of 52 weeks in a single gambling activity other than lottery games or instant scratch tickets); For SOGS, questions were asked of both 'Regular Gamblers' and 'Non-Regular Gamblers' (less than weekly gambling participation excluding lottery games or instant scratch tickets).CPGI; SOGS-PY3,233 EGMs in 2004. 2005 population of 485,300. 150 people per EGM.85%CPGI: 1.02% (3-7); 0.73% (8+); 1.75% combined
SOGS-PY: 1.41% (5+)		1.7%CPGI: 1.75 * .58 * 1.44 *.76 = 1.1%
SOGS-PY: 1.41 * 1.49 * 1.44 *.76 = 2.3% Average = 1.7%		males; ages 18-24; part-time workersEGMs; sports betting; betting on races by phone.http://www.dhhs.tas.gov.au/__data/assets/pdf_file/0009/31887/final_report200606.pdf
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TASMANIA200718+South Australian Centre for Economic Studies. (2008). Social and Economic Impact Study into Gambling in Australia. Adelaide: Author.4051Random selection of listed numbers; quotas were set for the 4 major
Statistical Districts of Tasmania and for the 18-24 year old age-group; up to 6 call backs for each household		“gambling in Tasmania"telephone interview40% (Completion rate)Household size, age, genderGambling at least once per week (or 52 times or more per year) on
activities other than lotteries, scratch tickets or bingo.		CPGI3,680 EGMs in 2006. 2007 population of 495,772. 135 people per EGM.71.7%0.86% (3-7); 0.54% (8+); 1.40% combined0.6%1.4 *.58 * 1.44 * .53 = 0.6%males, aged 18-29 years, living in the Greater Hobart areaKeno, scratch tickets, EGMs. Less likely to gamble on casino table games.http://www.adelaide.edu.au/saces/gambling/publications/TasSocialEconomicImpactStudyVolume2.pdf
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TASMANIA201118+Allen Consulting Group, Problem Gambling Research and Treatment Centre, & Social Research Centre. (2011). Social and economic impact study of gambling in Tasmania, Volume 2: Gambling survey. Prepared for the Tasmanian Government Department of Treasury and Finance.4000Combination of random telephone interviews across all of Tasmania and additional booster telephone interviews across the eight target local government areas; participant selection based on the 'next birthday' method."a survey of social issues"telephone interview40% (participation rate)age, gender, region (Local Government Area)All respondents
CPGI64.5%1.8% (3-7); 0.7% (8+); 2.5% combinedyounger age; no dependent children in household; failure to complete secondary schoolEGMs, Keno, sporting events, horse/greyhound racing, instant scratch tickets, participate in 4 or more forms of gambling in past 12 monthshttp://www.treasury.tas.gov.au/domino/dtf/dtf.nsf/LookupFiles/Volume2secondgamblingSEIS.PDF/$file/Volume2secondgamblingSEIS.PDF
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TASMANIA201318+ACIL Allen Consulting, Social Research Centre, & Problem Gambling Research And Treatment Centre. (2014). Third Social And Economic Impact Study Of Gambling In Tasmania: Volume 2. 2013 Tasmanian Gambling Prevalence Survey. Melbourne, Australia.5000The sample for the 2013 survey again featured a disproportionate stratified sample design such that over-sampling occurred in the same eight focus LGAs as in 2011. The 2013 design also featured slightly more interviews (n=5,000) in total and a slightly altered distribution of interviews across the eight focus LGAs in order to produce a more balanced sample and hence reduce the size of the standard errors of the survey estimates.telephone interview27.2% (response rate); 54.6% (cooperation rateyesgambling in past yearCPGI/PGSI61.2%1.8% (3-7); 0.5% (8+); 2.4% combinedEGMs, betting on horse or greyhound races, playing Keno, playing casino table games at a casino, betting on sporting or other events and betting on informal private games.http://www.treasury.tas.gov.au/domino/dtf/dtf.nsf/LookupFiles/20150109SEISVolume2FINALREVISEDCHANGES.PDF/$file/20150109SEISVolume2FINALREVISEDCHANGES.PDF
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TASMANIA201718+ACIL Allen Consulting, Deakin University, Central Queensland University and the Social Research Centre. (2017). Fourth social and economic impact study of gambling in Tasmania: Report 2. Hobart, Australia: Tasmanian Department of Treasury and Finance.5000The 2017 Tasmanian Gambling Prevalence Survey was conducted via Computer Assisted Telephone Interviews (CATI) with residents of Tasmania aged 18 years and over. The total achieved sample size was n=5000. A dual frame sample design was again employed for the 2017 survey, with a 50% landline and 50% mobile split. Sample was drawn from three sources: random digit dial (RDD) landline, pre-screened RDD mobile sample and listed mobile phone numbers. Due to a focus on state-level estimates, sample was stratified according to broad geographic regions (North, North West and South) and allocated in proportion to population. The questionnaire instrument for the 2017 survey largely replicated measures from previous waves to ensure comparability to prior years. Despite minimal changes to these key items, several new measures reflective of current issues and interest areas were added. Given the complex ity of the questionnaire structure and due to the addition of new measures, a pilot test of 50 interviews was undertaken to ensure internal logic. While the main aim was to replicate procedures of recent surveys to ensure comparability, some methodological changes were implemented to improve estimates and ensure the survey was conducted in line with current best practice. "health and lifestyle choices"telephone interview"...the final combined response rate for the survey was 41.5%" (see Section A.7).yesgambling in past yearCPGI/PGSI58.5%1.4% (3-7); 0.6% (8+); 2.0% combinedPGSI category was significantly negatively predicted by age, where by the odds of being classified in the next highest PGSI category decreased with age. EGMs, betting on horse or greyhound racing,
purchasing instant scratch tickets and playing
keno.		A new component of the prevalence survey in 2017 allowed for the assessment of the gambling harms in Tasmania. The 2017 survey allowed the measurement of harms to gamblers and affected others in three ways: A sequential discrete choice protocol using a Time-Tradeoff (TTO) task; Direct solicitation on the impact of gambling; the Short Gambling Harms Scale (SGHS) and disability weights.http://www.treasury.tas.gov.au/Documents/Vol%202%20-%20SEIS%202017%20-%2022%20DECEMBER%202017%20-%20FINAL.pdf
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VICTORIA199618+Maddern, C., Horman, S. & Dickerson, M. (1997). Fifth Community Gambling Patterns Survey combined with Second Positive And Negative Perceptions Of Gambling Survey. Melbourne, Australia: Victorian Casino and Gaming Authority.2000Random selection of listed numbers; 40 sampling quotas representing unique geo-demographic segments of the Victorian population;
multilingual interviewers; random selection within household.		"We’re conducting an important research study on behalf of a Victorian
Government Authority about what people do in their spare time."		telephone interviewage, sex, regiongambling in past 6 monthsSOGS-PY29,789 EGMs in 1999. 1996 population of 4,373,520. 147 people per
EGM.		87%“just under 1%” (5+)2.1%1.0 * 1.49 * 1.44 = 2.1%males; younger age (average age of 31); student; unemployedEGMsThe abstract version, available online, provides details from an earlier 4th survey (i.e., not actually the 5th survey). (http://www.vcgr.vic.gov.au/CA256F800017E8D4/research/3B95D40F90
7A3710CA25777E000DC497?Open) .		http://www.vcgr.vic.gov.au/CA256F800017E8D4/research/3B95D40F90
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VICTORIA199818+Roy Morgan Research. (1999). Sixth Survey of Community Gambling Patterns & Perceptions: Project Report. Prepared for Victorian Casino and Gaming Authority.1737Random selection of listed numbers; 32 sampling quotas to represent
unique geo-demographic segments of the Victorian population; random selection within household; multilingual interviewers.		"Today we’re conducting an important research study on behalf of a
Victorian Government Authority about what people do in their spare
time."		telephone interviewage, sex, regiongambling in past 6 monthsSOGS-PY29,789 EGMs in 1999. 1998 population of 4,683,800. 157 people per
EGM.		76%1.5% (5+)2.4%1.5 *1.49 * 1.44 * .76 = 2.4%males; younger than average age profile (average age of 38 years); higher proportion of skilled workerscasino gambling; EGMshttp://www.vcgr.vic.gov.au/CA256F800017E8D4/WebObj/51FE829F892099C9CA25702A0022FC24/$File/Project_1999SSCGPP.pdf
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VICTORIA199918+?KPMG Consulting. (2000). Report of the 1999 Longitudinal Community Impact Study: Survey of Community Attitudes, September 2000. Report to\ Victorian Casino and Gaming Authority.1,000 (Dandenong, Geelong, Maribyrnong, Mildura, Moreland and
Wellington)		Sample for the survey was drawn so as to coincide with local government areas for each of the 6 study regions; From each of the 6 local government areas (LGAs) 167 responses were collected.telephone interviewGambling in past 6 months.SOGS-PY29,789 EGMs in 1999. 1999 population of 4,707,600. 158 people per
EGM.		51% (gambled in 6-months prior to survey)2.0% (5+)3.5%2.0 *1.49 * 1.59 * .74 = 3.5%http://rgco.org/articles/report_of_the_1999_longitudinal_community.pdf
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VICTORIA199918+Roy Morgan Research. (2000). Seventh Community Survey of Community Gambling Patterns and Perceptions. Prepared for Victorian Casino and Gaming Authority.1760Sample randomly generated from electronic white pages; multilingual
interviewers; sampling quotas to represent geo-demographic segments;
last birthday method.		"Today we're conducting an important research study on behalf of a
Victorian Government Authority about what people do in their spare
time."		telephone interviewage, sex, county/metropolitan areagambling in past 6 monthsSOGS-PY29,789 EGMs in 1999. 1999 population of 4,707,600. 158 people per
EGM.		81%0.8% (5+)2.6%0.8 * 1.49 * 1.44 = 1.7%
Averaged with KPGM 1999 study = 2.6%		males; younger age profile; full-time workers; plant/machine operators/driversNot indicated but "Acknowledged Heavy Gamblers" tend to gamble on
EGMs and casinos.		http://www.vcgr.vic.gov.au/CA256F800017E8D4/WebObj/9AAFC04BF6AC3B42CA25702A000F6A89/$File/Project_2000SSCGPP.pdf
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VICTORIA200318+McMillen, J., Marshall, D., Ahmed, E., & Wenzel, M. (2004). 2003 Victorian Longitudinal Community Attitudes Survey. Australia: The Centre for Gambling Research, Australian National University8479Random selection of listed numbers; random selection within household; stratified sampling of gambler groups“attitudes to gambling”telephone interview34.2%age, gender and metro/non-metropolitan variablesWeekly participation in some form of gambling other than raffles and
sweeps in the past 12 months.		CPGI; SOGS-PY; Victorian Gambling Screen (VGS)27,400 EGMs in 2002. 2003 population of 4,911,400. 179 people per
EGM.		77%CPGI: 0.91% (3-7); 0.97% (8+); 1.88% combined
SOGS-PY: 1.12% (5+)
VGS: 0.74% (21+)		1%CPGI: 1.88 * .58 * 1.44 * .53 = 0.83%
SOGS-PY: 1.12 * 1.49 * 1.44 *.53 = 1.3% Average = 1.0%		males; aged 50–64 and 35–49; low levels of education (below tertiary
level); derive main income from social security payments (other than pension); live with others; live in metropolitan areas; family history of gambling; consume alcohol and drugs; depression		EGMsEach screen was administered to a separate cohort of regular gamblers
and the responses and prevalence rates compared.		http://www.justice.vic.gov.au/wps/wcm/connect/justlib/DOJ+Internet/resources/5/8/58325d00411719f58740df5c241e6dc3/VictorianLongitudinalAttitudeSurvey.pdf
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VICTORIA200718+Thomas, S. A., & Jackson, A. C. (2008). Risk and Protective Factors, Depression and Comorbidities in Problem Gambling: A Report to beyondblue.  Melbourne: Problem Gambling Research and Treatment Centre.2012Random digit dialing; quota method to achieve a high level of representativeness for age, sex and urban rural location dimensions in
the Victorian community; requirement that 300 of the participants had to be problem gamblers		gambling risk and protective factorstelephone interviewCPGI27,124 EGMs in 2006. 2007 population of 5,200,000. 192 people per
EGM.		2.8% (3-7); 1.4% (8+); 4.2% combined2.7%4.2 * .58 * 1.44 * .76 = 2.7%males; smokingPrevalence estimates from Table 5.2 in 2010 Australian Productivity
Commission report. Study more related to problem gambling co- morbidity than prevalence.		http://www.beyondblue.org.au/index.aspx?link_id=6.717
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VICTORIA200818+Hare, S. (2009). A Study of Gambling in Victoria: Problem Gambling from a Public Health Perspective. Melbourne, Australia: State of Victoria, Department of Justice.
15000Random digit dialing; random selection within household; multilingual
interviews; sample stratified across the 8 Victorian Government regions; concentration of study sampling within high Electronic Gaming Machine (EGM) expenditure Local Government Areas (LGA) across Victorian Government regions; stratified sampling of gambler types		"The Victorian Government is conducting a study on an important health and well-being issue to Victorian communities."telephone interview43.5%age, gender, region, household size, # land phone linespast year gamblingCPGI; NODS-CLiP 2 (brief screen for DSM-IV-L)27,279 EGMs in 2008. 2008 population of 5,310,000 people. 195 people
per EGM.		73%CPGI: 2.36% (3-7); 0.70% (8+); 3.06% combined
DSM-NODS-CLiP2: Lifetime pathological = 1.13%; NODS-CLiP2 Lifetime problem = 1.18%		2.6%3.06 * .58 * 1.44 = 2.6%males; Indigenous; sales workers, machinery operators/drivers and
labourers		EGMs; table games; lotto products; betting on horse or harness racing or greyhoundshttp://www.justice.vic.gov.au/wps/wcm/connect/DOJ+Internet/Home/Gambling+and+Racing/Research+and+Statistics/JUSTICE+-+A+Study+of+Gambling+in+Victoria+-+Problem+Gambling+from+a+Public+Health+Perspective+%28PDF%29
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VICTORIA201418+Hare, S. (2015). Study of gambling and health in Victoria, Victoria, Australia: Victorian Responsible Gambling Foundation and Victorian Department of Justice and Regulation.13,554The study involved 13,554 Computer Aided Telephone Interview (CATI) surveys of Victorians aged 18 years and older. The survey used a dual frame (mobile and landline) sample, which included 12,551 landline surveys and 1,003 mobile surveys."We are conducting a study on an important public health issue."... and... "gambling and health and well-being."telephone interviewMethod 1 (Less Conservative) was 68.46 per cent (compared to 52.65 per cent in the 2008 epidemiological study) and based on Method 2 (More conservative) was 57.85 per cent (compared to 43.50 per cent in the 2008 epidemiological study). Calculation of response rate using outlined adjustments for the mobile sample using Method 1 (Less Conservative) was 68.22 per cent and using Method 2 (More Conservative) was 60.88 per cent. Weighted to ensure they represented the Victorian adult population.past year gamblingCPGIThis survey is the first gambling survey to use a true random digit dial methodology for both landline and mobile samples.This means that both mobile phone numbers and landline numbers were selected at random.http://www.responsiblegambling.vic.gov.au/__data/assets/pdf_file/0018/25551/Study_of_gambling_and_health_in_Victoria.pdf
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VICTORIA201618+Howe, P. D. L., Vargas‐Saenz, A., Hulbert, C. A. & Boldero, J. M. (2018). Final report on gambling and problem gambling in Victoria. Melbourne, Australia: Responsible Gambling Foundation.3361Participants were recruited by a survey company, The Online Research Unit (ORU), who guaranteed that the participants were representative of the general population in terms of the distributions of their ages, genders and locations; incentives provided.online surveyPGSI95%25-34 years of agepoker machines; gaming tables at casinos; internet gambling
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WESTERN AUSTRALIA199418+Dickerson, M.G., Baron, E., & O’Conner, J. (1994). An Assessment of the Extent and Degree of Gambling Related Problems in Western Australia. Report to the Department of Racing and Gaming, Western Australia.1253Random household selection stratified for sex and age; 2-part interview;
Part 1 = Leisure and gambling activities; Part 2 = In depth survey of regular gamblers.		face-to-face residential interview(Refusal rate = 39%)Nogambling at least 4 or more times in past monthSOGS-Past 6 months1500 EGMs introduced in 1994. 1994 population of 1,465,500. 977 people per EGM.65%0.48% (3-4); .56% (5+); 1.04% combined0.6%1.04% *.72 *.76 = 0.6%single; males; under 30 years of agecontinuous forms of gambling
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