BahnCard Target Market in Germany
A data profile of the people who buy, follow and care about BahnCard in Germany — modelled from more than twelve digital signal sources. BahnCard has an estimated audience of 391,320 people in Germany.
The average BahnCard fan in Germany is 40.9 years old, balanced, and lives primarily in Nordrhein-Westfalen.
The audience is concentrated in Nordrhein-Westfalen, Bayern, Baden-Württemberg.
Top brand affinities include Kids club, Deutsche Bahn, Pool (cue sports), with strongest over-indexing on Kids club (117.34× the country average).
Demographically, the BahnCard audience skews balanced with an average age of 40.9, and over-indexes on personality traits such as Travelling, Family Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical BahnCard fan in Germany is balanced, around 40.9 years old, with strong Travelling tendencies and a notable affinity for Kids club.
At a glance
The key figures that characterise the BahnCard profile in Germany.
Search interest · 12-month trend
Customer demographics of BahnCard
52.7% are female, 47.3% are male, average age 40.9.
Gender split
| Metric | Value |
|---|---|
| Female | 52.7% |
| Male | 47.3% |
| Average age | 40.9 |
| Estimated audience size | 391,320 |
Age distribution
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 16% | |
| 20-29 | 16% | |
| 30-39 | 20% | |
| 40-49 | 26% | |
| 50+ | 21% |
Worldwide distribution
of the worldwide BahnCard audience comes from Germany.
| Country | Share |
|---|---|
| Germany | 83.3% |
| United States | 2.8% |
| United Kingdom | 2.7% |
Geography
Where the BahnCard audience in Germany is strongest.
Top regions by affinity
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Berlin | ~20K | 1.44× | |
| 02 | Hamburg | ~10K | 1.40× | |
| 03 | Hessen | ~40K | 1.26× | |
| 04 | Bayern | ~70K | 1.14× | |
| 05 | Baden-Württemberg | ~60K | 1.10× | |
| 06 | Niedersachsen | ~40K | 1.09× | |
| 07 | Bremen | ~3K | 1.03× | |
| 08 | Schleswig-Holstein | ~10K | 0.99× | |
| 09 | Nordrhein-Westfalen | ~80K | 0.93× | |
| 10 | Rheinland-Pfalz | ~20K | 0.91× | |
| 11 | Sachsen | ~20K | 0.88× | |
| 12 | Thüringen | ~8K | 0.87× | |
| 13 | Brandenburg | ~10K | 0.86× | |
| 14 | Mecklenburg-Vorpommern | ~6K | 0.78× | |
| 15 | Sachsen-Anhalt | ~7K | 0.72× | |
| 16 | Saarland | ~3K | 0.66× |
Affinity by region
Audience interests & affinities
The strongest cross-interests of the BahnCard audience — brands, topics and people combined.
Top cross-interests, ranked by affinity
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Kids club | Kids & Family | 117.34× | ||
| 02 | Canadian Pacific Railway | Cars & Mobility | 71.59× | ||
| 03 | Highlights for Children | Kids & Family | 65.04× | ||
| 04 | Trenitalia | Cars & Mobility | 20.00× | ||
| 05 | Roller derby | Sports | 20.00× | ||
| 06 | Girls with guns | Politics & Society | 20.00× | ||
| 07 | Telenova | Music & Radio | 20.00× | ||
| 08 | BMX bike | Sports | 16.74× | ||
| 09 | Pool (cue sports) | Sports | 16.48× | ||
| 10 | Rapid transit | Cars & Mobility | 13.28× | ||
| 11 | High-speed rail | Cars & Mobility | 12.18× | ||
| 12 | Palestine | Travel & Leisure | 5.93× | ||
| 13 | Deutsche Bahn | Cars & Mobility | 5.45× | ||
| 14 | Flixtrain | Cars & Mobility | 4.30× | ||
| 15 | Rebate (marketing) | Shopping | 3.68× | ||
| 16 | The Epoch Times | News | 3.45× | ||
| 17 | Junge Freiheit | News | 2.62× | ||
| 18 | Deutschlandticket | Cars & Mobility | 2.34× | ||
| 19 | Ryanair | Travel & Leisure | 1.67× | ||
| 20 | Airbnb | Travel & Leisure | 1.52× |
Personality of the BahnCard audience
Values above 1.00× are above the country average, values below 1.00× below it.
Deviation from the national baseline
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Travelling | THRILL | 1.40× | |
| Family Orientation | CONSERVATISM | 1.31× | |
| Need for Security | CONSERVATISM | 1.31× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.90× | |
| Mindfulness | BALANCE | 0.93× | |
| Individualism | JOY | 0.96× |
Frequently asked questions
Who is BahnCard's target market in Germany?
BahnCard's target market in Germany covers an estimated 391,320 people, concentrated in Nordrhein-Westfalen and Bayern.
What is the gender split and age of BahnCard customers?
52.7% of the BahnCard audience are female, 47.3% are male, with an average age of 40.9 years.
Which brands do BahnCard fans like most?
BahnCard fans show strongest brand affinity for Kids club (117.34×), Deutsche Bahn (5.45×), and Pool (cue sports) (16.48×) over the country average.
Where do BahnCard fans live in Germany?
BahnCard fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~80K), Bayern (reach ~70K), and Baden-Württemberg (reach ~60K). These three regions account for the largest share of the active audience.
What other brands do BahnCard fans also like?
Beyond BahnCard itself, the audience over-indexes on Deutsche Bahn (5.45×), Pool (cue sports) (16.48×), Rapid transit (13.28×), and Trenitalia (20×) compared to the Germany average.
Explore more audiences
Related profiles, rankings and the same audience in other markets.
More Travel & Leisure audiences in Germany
- Obi (store) (19,801,773)
- IKEA (19,312,673)
- Lidl (19,126,505)
- Amazon.com (18,995,336)
- REWE (18,725,823)
See BahnCard audiences in other countries
How to read this data
Audience size is the estimated number of people in Germany who actively search for BahnCard. Affinity is an over-index ratio: 2.0× means the audience is twice as likely to engage with that brand or trait as the country average. Reach is the estimated number of audience members in a region. Regional and brand-affinity tables are sorted from strongest signal to weakest.
About this audience profile
This audience profile is generated by Rascasse from anonymized search-behavior signals across Germany. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.