1. Headline findings Participation in gambling and rates of problem gambling - 2015

2. Key findings - participation Overall participation in gambling has fallen The fall is primarily driven by a fall in National Lottery draw play National Lottery draws, other lotteries and Scratchcards most popular activities 45-64 year olds most likely to gamble 35-54 most likely to gamble online

3. Key findings – online play Laptop is the most popular device for gambling online 33% of online gamblers use a mobile / tablet 25-34 year olds most likely to use mobile / tablet Majority gamble at home Under 35s most likely to gamble outside the home 25% of online gamblers have bet in-play

4. Key findings – problem gambling Problem gambling rates amongst the population are relatively low Those aged 18-24 are more likely to be problem gamblers Those aged under 35 are more likely to be at-risk Men are much more likely than women to be problem gamblers

5. Telephone survey results

6. Methodology – telephone survey Survey is conducted quarterly in March, June, September and December 1,000 telephone surveys conducted per quarter Sample is nationally representative of the GB population and is weighted in terms of demographic and socio-economic indicators Results are reported on a rolling year basis to counteract seasonal trends in gambling participation Full methodological details are available in the technical annex

7. Overall Participation by gender Decline in participation driven by decline in National Lottery and other lottery play

8. Overall Participation by age

9. Online participation by gender

10. Online participation by age Those aged 35-54 are more likely to gamble online than those aged 18-34

11. Highest frequency of play across all activities

12. PROBLEM GAMBLING

13. Methodology  Problem gambling status was defined using the short-form Problem Gambling Severity Index (PGSI)  The screen was developed from the full 9-item PGSI  The screen is formed of three questions:  Have you bet more than you could really afford to lose?  Have people criticised your betting or told you that you have a gambling problem?  Have you felt guilty about the way you gamble or what happens when you gamble?

14. Methodology – screen scoring  For each question respondents select on a range from never – sometimes – most of the time – almost always  Responses are scored from 0 – 3 meaning the total possible score is 9  The table below shows how respondents are categorised based on their score: ScoreCategorisation 0Non- problem gambler 1Low-risk gambler 2-3Moderate risk gambler 4+Problem gambler

15. Problem gamblers by gender

16. Problem gamblers by age

17. Online survey results

18. Methodology – online survey Survey is conducted quarterly in March, June, September and December2,000 online surveys conducted per quarterSample is drawn from 50% panel and 50% fresh sampling Data are weighted in terms of demographic and socio-economic indicators to reflect GB population Results are reported on a rolling year basis to counteract seasonal trends in gambling participation Full methodological details are available in the technical annex

19. Devices used by age

20. Location of play by age

21. Betting in-play Overall 25% of online gamblers had bet in-play

22. Next steps  Enhancements to the telephone participation survey for 2016:  Additional machines categories to ascertain location of play  Addition of football and tennis betting categories  Expansion of perceptions questions to gather further detail on attitudes to gambling  PGSI mini-screen data published quarterly  Testing of increased % of mobile sample to better reflect the population with commencement of higher proportion in 2017

23. Future publications PublicationDate Quarterly participation data and PGSI mini-screen data April 2016 July 2016 October 2016 Problem gambling rates in Wales 2015May 2016 Industry Statistics to September 2015June 2016 Scottish Health Survey 2015September 2016 Health Survey England 2015December 2016 Industry Statistics to March 2016November 2016