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Aims  To investigate gambling expenditure and its relationship with socio‐demographics, health‐related correlates and past‐year gambling behaviour.    Design  Cross‐sectional population survey.    Setting  Population‐based survey in Finland.    Participants  Finnish people aged 15–74 years drawn randomly from the Population Information System. The participants in this study were past‐year gamblers with gambling expenditure data available ( n  = 3251, 1418 women and 1833 men).    Measurements  Expenditure shares, means of weekly gambling expenditure (WGE, €) and monthly gambling expenditure as a percentage of net income (MGE/NI, %) were calculated. The correlates used were perceived health, smoking, mental health [Mental Health Inventory (MHI)‐5], alcohol use [Alcohol Use Disorders Identification Test (AUDIT)‐C], game types, gambling frequency, gambling mode and gambling severity [South Oaks Gambling Screen (SOGS)].    Findings  Gender (men versus women) was found to be associated significantly with gambling expenditure, with exp(β) = 1.40, 95% confidence interval (CI) = 1.29, 1.52 and  P  < 0.005 for WGE, and exp(β) = 1.39, 95% CI = 1.27, 1.51 and  P  < 0.005 for MGE/NI. All gambling behaviour correlates were associated significantly with WGE and MGE/NI: gambling frequency (several times a week versus once a month/less than monthly, exp(β) = 30.75, 95% CI = 26.89, 35.17 and  P  < 0.005 for WGE, and exp(β) = 31.43, 95% CI = 27.41, 36.03 and  P  < 0.005 for MGE/NI), gambling severity (probable pathological gamblers versus non‐problem gamblers, exp(β) = 2.83, 95% CI = 2.12, 3.77 and  P  < 0.005 for WGE, and exp(β) = 2.67, 95% CI = 2.00, 3.57 and  P  < 0.005 for MGE/NI) and on‐line gambling (on‐line and land‐based versus land‐based only, exp(β) = 1.35, 95% CI = 1.24, 1.47 and  P  < 0.005 for WGE, and exp(β) = 1.35, 95% CI = 1.24, 1.47 and  P  < 0.005 for MGE/NI).    Conclusions  In Finland, male gender is associated significantly with both weekly gambling expenditure and monthly gambling expenditure related to net income. People in Finland with lower incomes contribute proportionally more of their income to gambling compared with middle‐ and high‐income groups.

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The relationship between gambling expenditure, socio‐demographics, health‐related correlates and gambling behaviour—a cross‐sectional population‐based survey in Finland