Interactive map - infographics. You have staked more than 17 billion euros, who are you?


What is the typical profile for the players?

Compared to non-gamers, the practice of gamblers is more common in occupations among men aged 25 to 54 who are employed
Intermediaries more than among executives and higher intellectual professions. The players have a slightly lower level of education, but a level of
Income higher than that of non-practitioners.

However, the typical profile also depends heavily on the game. Compared to all players:
â–º Those who practice scratching games are more likely to be women (59.5{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118}), younger (51.5{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118} are under 45) and have a lower income.
â–º Horse racing bettors are more likely to be men (80.7{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118}), older (55.5{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118} are 55 years of age or older), who have a more modest social background, a low level of education and a higher income. Weak.
â–º Sports bettors are also more often men (89.7{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118}), much younger (72.2{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118} are 35 years or younger) with a higher level of education, a more modest or medium social background, more often unemployed but with a higher income.
â–º Slot machine players are more often women (57.5{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118}) and older (37.3{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118} are 55 years or older).
â–º On the contrary, those who play other casino games are more likely to be men (63.2{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118}), much younger (79{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118} are 35 years old or younger).
â–º Poker players are also mainly men (72.8{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118}), young (72.5{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118} between 25 and 44 years of age), who come from middle or higher socio-professional categories (50.1{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118}), have a higher education and a higher income but are more likely to be unemployed (11.4{7d3485657e94c2a51293ca186d4450b2f27c317aa7ee3509dac6c8bbf5461118}) than other players.

Source: Observatory for Gambling Practices, June 2020