Key Takeaways
- 0.4% of adults showed signs of problem gambling per 2023 GPS, affecting 170,000 people aged 16+
- 2.2% of adults at moderate risk of gambling harm (PGI 5-7) in 2023 GPS
- £1.3 billion annual net loss by problem gamblers estimated in UK 2023
- As of June 2024, there were 152 non-remote casino operating licences active in the UK
- 9,766 active betting shop (FOBT) licences reported in Q1 2024 UKGC data
- 584 bingo club licences operational as of March 2024, down 2% YoY
- 45.3% of UK adults aged 16+ participated in any gambling activity in the past 4 weeks as of FYE March 2023 Gambling Participation Survey
- 16% of adults gambled online only in the past 4 weeks per 2023 GPS
- National Lottery draw participation rate was 34% in past 4 weeks, highest activity in 2023 GPS
- Slots accounted for 72% of online casino GGY at £2.8 billion in YE March 2024
- Real events betting remote GGY was £3.1 billion in YE March 2024, up 15% YoY
- Online blackjack GGY reached £280 million in YE March 2024
- In the year ending March 2023, the total Gross Gambling Yield (GGY) for the UK gambling industry reached £15.4 billion, marking a 27% increase from the previous year
- Online casino GGY for the year ending March 2023 was £3.9 billion, up 13% year-on-year, driven by slots and table games
- Non-remote (land-based) GGY totalled £6.5 billion in YE March 2023, with bingo halls contributing £452 million
Around 0.4% of adults showed problem gambling signs in 2023, with major losses tied to online slots.
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How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Rachel Svensson. (2026, February 13). Uk Gambling Industry Statistics. Gitnux. https://gitnux.org/uk-gambling-industry-statistics
Rachel Svensson. "Uk Gambling Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/uk-gambling-industry-statistics.
Rachel Svensson. 2026. "Uk Gambling Industry Statistics." Gitnux. https://gitnux.org/uk-gambling-industry-statistics.
Sources & References
- Reference 1GAMBLINGCOMMISSIONgamblingcommission.gov.uk
gamblingcommission.gov.uk
- Reference 2GAMSTOPgamstop.co.uk
gamstop.co.uk
- Reference 3BEGAMBLEAWAREbegambleaware.org
begambleaware.org
- Reference 4GAMCAREgamcare.org.uk
gamcare.org.uk







