Batman has an estimated audience of 11,063,734 people in United Kingdom.
The average Batman fan in United Kingdom is 42.0 years old, balanced, and lives primarily in West Midlands.
Most fans live in West Midlands, South East, Yorkshire and the Humber.
Top affinities include Elizabeth Olsen, Superman, Otaku, with strongest over-indexing on Elizabeth Olsen (8.81× the country average).
Demographically, the Batman audience skews balanced with an average age of 42.0, and over-indexes on personality traits such as Early Adopter Mentality, Mindfulness.
The typical Batman fan in United Kingdom is balanced, around 42.0 years old, with strong Early Adopter Mentality tendencies and a notable affinity for Elizabeth Olsen.
53.0% are female, 47.0% are male, average age 42.0.
| Metric | Value |
|---|---|
| Female | 53.0% |
| Male | 47.0% |
| Average age | 42.0 |
| Estimated audience size | 11,063,734 |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 20% | |
| 25-34 | 16% | |
| 35-44 | 16% | |
| 45-54 | 20% | |
| 55+ | 28% |
of the worldwide Batman audience comes from United Kingdom.
| Country | Share |
|---|---|
| United States | 33.3% |
| Brazil | 13.5% |
| Germany | 10.9% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Yorkshire and the Humber | ~1.5M | 1.51× | |
| 02 | West Midlands | ~1.5M | 1.50× | |
| 03 | North East | ~500K | 1.24× | |
| 04 | Wales | ~500K | 1.04× | |
| 05 | Northern Ireland | ~300K | 1.00× | |
| 06 | Scotland | ~900K | 0.96× | |
| 07 | South East | ~1.5M | 0.92× | |
| 08 | East Midlands | ~700K | 0.80× | |
| 09 | East of England | ~800K | 0.79× | |
| 10 | South West | ~700K | 0.78× | |
| 11 | North West | ~600K | 0.48× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Elizabeth Olsen | Movies & TV | 8.81× | ||
| 02 | Superman | Movies & TV | 7.50× | ||
| 03 | Otaku | Literature | 7.02× | ||
| 04 | DC Comics | Literature | 6.88× | ||
| 05 | Spider-Man | Movies & TV | 6.13× | ||
| 06 | Computer animation | Business & Career | 5.73× | ||
| 07 | The Flash | Movies & TV | 5.67× | ||
| 08 | Tom Hiddleston | Movies & TV | 5.56× | ||
| 09 | Anime convention | Literature | 4.80× | ||
| 10 | Anime and manga fandom | Literature | 4.11× | ||
| 11 | Scooby-Doo | Movies & TV | 3.98× | ||
| 12 | Beetlejuice | Movies & TV | 3.47× | ||
| 13 | TikTok | Internet & Social Media | 3.26× | ||
| 14 | Dune | Movies & TV | 3.17× | ||
| 15 | Communication design | Business & Career | 3.15× | ||
| 16 | Comics | Literature | 3.04× | ||
| 17 | Harry Potter | Movies & TV | 2.25× | ||
| 18 | Video games | Games | 1.94× | ||
| 19 | Comedy movies | Movies & TV | 1.77× | ||
| 20 | Pop music | Music & Radio | 1.76× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 1.53× | |
| Mindfulness | BALANCE | 1.46× | |
| Extroversion | THRILL | 1.37× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 0.66× | |
| Need for Security | CONSERVATISM | 0.74× | |
| Family Orientation | CONSERVATISM | 0.83× |
Cite as: “Rascasse Solution, Q2/2026, rascasse.com/explore/gb/batman-28809” · Methodology