Human Written & Fact Checked · Updated

100 Denmark Sports Betting Statistics for 2026

Denmark's betting statistics describe different things depending on who produced them and which question was asked. The Danish Gambling Authority reports a licensed market, with revenue, licence bands and channel patterns. Survey researchers describe respondents' participation and experiences, using age limits and screening categories that differ between studies. This article brings those perspectives together while preserving their boundaries. Betting revenue is not money staked, and neither financial measure identifies the proportion of residents who participate. Likewise, a survey percentage within a screened group is not the probability that betting causes a gambling problem. The original figures reproduced below show the source headings and surrounding context. Every observation retains its reference period, and historical survey results are presented as historical evidence instead of current prevalence. No national bettor count or combined financial total is constructed from unlike measures.

Headline figures

  • Denmark's licensed betting GGR was DKK 2,130 million in 2025, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)
  • In 2025, 9 Danish betting licences fell in the report's GGR band below DKK 5 million. (DGA, Jun 2026)
  • Saturday accounted for 19.2% of Danish betting deposits in 2025. (DGA, Jun 2026)
  • Mobile devices generated 71% of Danish betting GGR in 2025. (DGA, Jun 2026)
  • 2021 adults aged 18–79, moderate or severe PGSI problems: 45% reported online betting in the past year. (RAM, May 2022)
  • 2021 debut-question respondents aged 12–17, moderate or severe PGSI problems: 36% named online betting as a first gambling game. (RAM, May 2022)
  • 2021 young respondents aged 12–17, moderate or severe PGSI problems: 49% reported online betting in the past year. (RAM, May 2022)
  • Denmark 2016, ages 18–74: lifetime betting-and-sports-game participation was 23%. (SFI, Aug 2016)
  • Denmark 2016, ages 18–74: past-year betting-and-sports-game participation was 10%. (SFI, Aug 2016)
  • Denmark 2016: 10% of past-month gamblers aged 18–74 named betting and sports games as their most frequent game. (SFI, Aug 2016)
  • Denmark 2016: 17% of men aged 18–74 reported past-year betting-and-sports-game participation. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, ages 18–24: 19%. (SFI, Aug 2016)

How has Denmark's licensed betting revenue changed?

The regulator's annual betting chart measures gross gaming revenue, the amount remaining after winnings within the source's licensed-market definition. Its historical series is adjusted to the report's GDP level, so the amounts should not be presented as unadjusted cash receipts in each historical year. They are also different from stakes, deposits, tax receipts and profit after operating costs. The same source and adjustment convention apply throughout the sequence below. The latest annual observation appears in the takeaways; earlier years remain in the chronological lists. This approach preserves the producer's published series instead of reconstructing it from monthly values or adding unlicensed activity. The original chart retains the adjustment note that makes these comparisons interpretable. Changes in an annual aggregate do not, by themselves, establish a change in the number of bettors or explain its cause.

What are the earlier adjusted annual GGR observations?

  • Denmark's licensed betting GGR was DKK 1,979 million in 2012, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)
  • Denmark's licensed betting GGR was DKK 2,259 million in 2013, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)
  • Denmark's licensed betting GGR was DKK 2,883 million in 2014, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)
  • Denmark's licensed betting GGR was DKK 3,139 million in 2015, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)
  • Denmark's licensed betting GGR was DKK 3,289 million in 2016, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)
  • Denmark's licensed betting GGR was DKK 3,393 million in 2017, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)
  • Denmark's licensed betting GGR was DKK 3,608 million in 2018, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)

These earlier annual observations use the report's adjusted level and original million-kroner unit. Each is a financial result within the licensed betting category.

What does the later part of the GGR series show?

  • Denmark's licensed betting GGR was DKK 3,480 million in 2019, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)
  • Denmark's licensed betting GGR was DKK 3,147 million in 2020, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)
  • Denmark's licensed betting GGR was DKK 3,011 million in 2021, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)
  • Denmark's licensed betting GGR was DKK 2,609 million in 2022, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)
  • Denmark's licensed betting GGR was DKK 2,493 million in 2023, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)
  • Denmark's licensed betting GGR was DKK 2,406 million in 2024, at the report's GDP-adjusted 2026 level. (DGA, Jun 2026)

The later observations continue the same adjusted series. Their common unit supports comparison within this chart, but does not turn the values into historical nominal receipts or a tax series.

What do licence bands and betting channels reveal?

The market report also describes how betting activity is distributed across licences, days and devices. These are separate denominators. A licence-band count refers to licences in a reported revenue range; it is not necessarily a count of independent corporate groups or consumer-facing brands. A weekday share describes the source's betting-deposit distribution, while the mobile series describes a share of gross gaming revenue. The percentages therefore cannot be combined into a single channel measure. The following observations retain the original categories and annual reference periods. Band boundaries are reproduced as labelled by the producer, without inventing a more precise inclusive-or-exclusive rule. The original channel figure provides a visual check on the device series. None of these administrative distributions identifies individual customers, their frequency of play or the demographic profile of people using a particular device.

How are betting licences distributed across revenue bands?

  • In 2025, 1 Danish betting licence fell in the report's DKK 5–10 million GGR band. (DGA, Jun 2026)
  • In 2025, 3 Danish betting licences fell in the report's DKK 10–25 million GGR band. (DGA, Jun 2026)
  • In 2025, 3 Danish betting licences fell in the report's DKK 25–50 million GGR band. (DGA, Jun 2026)
  • In 2025, 3 Danish betting licences fell in the report's DKK 50–100 million GGR band. (DGA, Jun 2026)
  • In 2025, 3 Danish betting licences fell in the report's DKK 100–200 million GGR band. (DGA, Jun 2026)
  • In 2025, 2 Danish betting licences fell in the report's DKK 200–500 million GGR band. (DGA, Jun 2026)
  • In 2025, 1 Danish betting licence fell in the report's GGR band above DKK 500 million. (DGA, Jun 2026)

The smallest revenue band appears in the takeaways. The remaining source-labelled bands below refer to betting licences in the same year. Revenue-restricted licences are excluded. They are not turnover bands, and the counts are not converted into corporate market shares.

How are betting deposits distributed across weekdays?

  • Monday accounted for 10.7% of Danish betting deposits in 2025. (DGA, Jun 2026)
  • Tuesday accounted for 12% of Danish betting deposits in 2025. (DGA, Jun 2026)
  • Wednesday accounted for 13% of Danish betting deposits in 2025. (DGA, Jun 2026)
  • Thursday accounted for 12.5% of Danish betting deposits in 2025. (DGA, Jun 2026)
  • Friday accounted for 13.6% of Danish betting deposits in 2025. (DGA, Jun 2026)
  • Sunday accounted for 18.9% of Danish betting deposits in 2025. (DGA, Jun 2026)

The Saturday observation appears in the takeaways. The remaining weekday shares describe the regulator's betting-deposit measure, preserving its terminology instead of relabelling the cells as operator revenue, profits or a proportion of unique customers. These are aggregate calendar patterns within the reporting year. They do not establish which sports, events or individual customers produced a particular day's share. No causal explanation is inferred from the distribution alone.

How has the mobile share of betting GGR developed?

  • Mobile devices generated 46% of Danish betting GGR in 2016. (DGA, Jun 2026)
  • Mobile devices generated 52% of Danish betting GGR in 2017. (DGA, Jun 2026)
  • Mobile devices generated 51% of Danish betting GGR in 2018. (DGA, Jun 2026)
  • Mobile devices generated 51% of Danish betting GGR in 2019. (DGA, Jun 2026)
  • Mobile devices generated 54% of Danish betting GGR in 2020. (DGA, Jun 2026)
  • Mobile devices generated 60% of Danish betting GGR in 2021. (DGA, Jun 2026)
  • Mobile devices generated 61% of Danish betting GGR in 2022. (DGA, Jun 2026)
  • Mobile devices generated 61% of Danish betting GGR in 2023. (DGA, Jun 2026)
  • Mobile devices generated 70% of Danish betting GGR in 2024. (DGA, Jun 2026)

The latest mobile observation is in the takeaways. Earlier values below retain the betting-GGR denominator instead of a share of accounts or wagers.

What does the adult survey say about betting?

Rambøll Management Consulting conducted the later prevalence study on behalf of the Danish Gambling Authority. Its adult tables divide respondents by the Problem Gambling Severity Index, a screening instrument covering gambling generally. The category called gambling problems combines the moderate and severe groups in these tables; it must not be interpreted as a clinical diagnosis caused by betting. The selected rows distinguish online betting from betting at a physical retailer. The latter explicitly includes bets on horses at racetracks, making its product boundary wider than the earlier SFI betting-and-sports-game category. First-game questions apply to a restricted respondent subset, whereas past-year participation uses the relevant survey group. Those denominators remain separate throughout. The original adult table below preserves the screening columns and notes, providing context for differences without claiming that they reveal a causal relationship.

Which betting channels were reported as an adult's first game?

  • 2021 adults aged 18–79, no PGSI problems: 6% named online betting as a first gambling game. (RAM, May 2022)
  • 2021 adults aged 18–79, low-level PGSI problems: 19% named online betting as a first gambling game. (RAM, May 2022)
  • 2021 adults aged 18–79, moderate or severe PGSI problems: 21% named online betting as a first gambling game. (RAM, May 2022)
  • 2021 adults aged 18–79, no PGSI problems: 15% named retail betting as a first gambling game. (RAM, May 2022)
  • 2021 adults aged 18–79, low-level PGSI problems: 27% named retail betting as a first gambling game. (RAM, May 2022)
  • 2021 adults aged 18–79, moderate or severe PGSI problems: 26% named retail betting as a first gambling game. (RAM, May 2022)

These weighted first-game responses come from adults who supplied an age at gambling debut. Percentages refer to the named screening group within that restricted base.

How did past-year adult betting vary by screening group?

  • 2021 adults aged 18–79, no PGSI problems: 6% reported online betting in the past year. (RAM, May 2022)
  • 2021 adults aged 18–79, low-level PGSI problems: 41% reported online betting in the past year. (RAM, May 2022)
  • 2021 adults aged 18–79, no PGSI problems: 2% reported retail betting in the past year. (RAM, May 2022)
  • 2021 adults aged 18–79, low-level PGSI problems: 8% reported retail betting in the past year. (RAM, May 2022)
  • 2021 adults aged 18–79, moderate or severe PGSI problems: 21% reported retail betting in the past year. (RAM, May 2022)

These weighted participation rates use the adult screening-group denominator, instead of only people who reported a gambling debut. The moderate-or-severe online observation appears in the takeaways. Online and retail participation can overlap. Their rates are not added to estimate a unique-bettor population.

What does the youth survey report about betting?

The youth tables are a separate survey population and should not be pooled with the adult results. They use the same broad screening labels, including a combined moderate-or-severe category, but their smaller underlying groups warrant particular care when interpreting rounded percentages. A reported zero is retained as the producer's rounded survey result; it is not proof that a behaviour never occurs in the population. First-game responses and past-year participation again answer different questions. The retail betting label includes racetrack horse betting, and online and retail categories may overlap. The original table below shows the group structure and source notes instead of presenting isolated percentages without their denominator. These historical observations describe reported behaviour within the survey's age range. They do not identify legal access, establish causation or predict an individual respondent's future gambling experience.

Which betting channels appeared in young respondents' first games?

  • 2021 young respondents aged 12–17, no PGSI problems: 21% named online betting as a first gambling game. (RAM, May 2022)
  • 2021 young respondents aged 12–17, low-level PGSI problems: 31% named online betting as a first gambling game. (RAM, May 2022)
  • 2021 young respondents aged 12–17, no PGSI problems: 2% named retail betting as a first gambling game. (RAM, May 2022)
  • 2021 young respondents aged 12–17, low-level PGSI problems: 0% named retail betting as a first gambling game. (RAM, May 2022)
  • 2021 young respondents aged 12–17, moderate or severe PGSI problems: 14% named retail betting as a first gambling game. (RAM, May 2022)

These first-game responses use the restricted youth debut-question base. The moderate-or-severe online result is in the takeaways; the remaining channel-and-screening-group combinations are below. The historical first game may predate the survey. Its percentage is not a past-year participation measure.

How did past-year youth betting vary by screening group?

  • 2021 young respondents aged 12–17, no PGSI problems: 2% reported online betting in the past year. (RAM, May 2022)
  • 2021 young respondents aged 12–17, low-level PGSI problems: 33% reported online betting in the past year. (RAM, May 2022)
  • 2021 young respondents aged 12–17, no PGSI problems: 1% reported retail betting in the past year. (RAM, May 2022)
  • 2021 young respondents aged 12–17, low-level PGSI problems: 6% reported retail betting in the past year. (RAM, May 2022)
  • 2021 young respondents aged 12–17, moderate or severe PGSI problems: 11% reported retail betting in the past year. (RAM, May 2022)

The following observations retain the youth screening-group denominator. The moderate-or-severe online rate appears in the takeaways, leaving the other online and retail cells here. These are within-group percentages, not the distribution of all young bettors across screening categories. Reading the denominator in reverse would produce a different and unsupported claim.

What do the earlier SFI surveys show about participation?

SFI's earlier study reports betting and sports games as a category covering bookmakers, Oddset and football pools. Horse and dog racing occupy a separate row and are excluded from the selected observations. Population participation is measured over different recall windows, while the most-frequent-game question uses only past-month gamblers. Those results must not be read as interchangeable percentages. Demographic figures below describe past-year participation within each named population subgroup. They are not the demographic composition of bettors, and differences do not establish causation. The original age-group table retains the neighbouring rows and notes that help verify these denominators. The earlier questionnaire combined several betting categories, whereas the later questionnaire asked about the combined category directly. That change limits claims of perfectly unchanged measurement across waves, even though the producer presents the historical comparison in its own table.

What do recall windows, age and sex show?

  • Denmark 2005, ages 18–74: lifetime betting-and-sports-game participation was 44%. (SFI, Aug 2016)
  • Denmark 2005, ages 18–74: past-year betting-and-sports-game participation was 14%. (SFI, Aug 2016)
  • Denmark 2005, ages 18–74: past-month betting-and-sports-game participation was 6%. (SFI, Aug 2016)
  • Denmark 2016, ages 18–74: past-month betting-and-sports-game participation was 5%. (SFI, Aug 2016)
  • Denmark 2005: 6% of past-month gamblers aged 18–74 named betting and sports games as their most frequent game. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, women: 3%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, ages 25–39: 14%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, ages 40–59: 8%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, ages 60–74: 3%. (SFI, Aug 2016)

The demographic rates below concern people aged 18–74. The most-frequent-game observation has the narrower past-month-gambler denominator. Selected headline cells are already in the takeaways.

How does participation vary by origin, region and education?

  • 2016 past-year betting-and-sports-game participation, Danish origin: 10%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, immigrants and descendants able to interview in Danish: 9%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, Capital Region: 11%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, Zealand Region: 8%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, North Denmark Region: 9%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, Central Denmark Region: 10%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, Southern Denmark Region: 9%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, long higher education: 8%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, medium higher education: 8%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, short higher education: 8%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, vocational education: 9%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, no qualifying education, not currently studying: 10%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, no qualifying education, currently studying: 17%. (SFI, Aug 2016)

These weighted rates concern each named population subgroup aged 18–74. The immigrant-and-descendant group required a Danish-language interview; that limitation remains attached to its result.

What do employment and income groups show?

  • 2016 past-year betting-and-sports-game participation, employees: 11%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, self-employed: 9%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, unemployed: 10%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, retired: 4%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, students: 17%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, other employment status: 6%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, monthly income DKK 0–14,999: 10%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, monthly income DKK 15,000–24,999: 8%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, monthly income DKK 25,000–34,999: 10%. (SFI, Aug 2016)
  • 2016 past-year betting-and-sports-game participation, monthly income DKK 35,000+: 11%. (SFI, Aug 2016)

These weighted past-year rates also use the population-subgroup denominator, for people aged 18–74. Employment and income describe separate classifications; their percentages cannot be added together. Income bands retain the report's monthly-kroner definition. No household spending estimate is inferred.

Glossary

PGSI
Problem Gambling Severity Index, a screening measure covering gambling generally.

Methodology and sources

Every figure on this page comes from the organisation that produced it: regulators, statistics offices, public bodies, research institutes, and companies reporting their own data or surveys. Each one links to the original report or dataset and carries its release date. Survey results keep their population and fieldwork period, and financial figures keep the measure the producer used. Figures from different producers are not added together or ranked against each other. The page is reviewed monthly and updated when a producer releases newer data.

  • DGA · Jun 2026
  • RAM · May 2022
  • SFI · Aug 2016