MSN has an estimated audience of 3.5M people in Germany.
The average MSN fan in Germany is 43.7 years old, balanced, and lives primarily in Nordrhein-Westfalen.
Most fans live in Nordrhein-Westfalen, Bayern, Baden-Württemberg.
Top affinities include Miguel Indurain, Wetter.com, Transfermarkt, with strongest over-indexing on Miguel Indurain (114.56× the country average).
Demographically, the MSN audience skews balanced with an average age of 43.7, and over-indexes on personality traits such as Patriotism, Need for Security.
The typical MSN fan in Germany is balanced, around 43.7 years old, with strong Patriotism tendencies and a notable affinity for Miguel Indurain.
49.8% are female, 50.2% are male, average age 43.7.
| Metric | Value |
|---|---|
| Female | 49.8% |
| Male | 50.2% |
| Average age | 43.7 |
| Estimated audience size | 3.5M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 17% | |
| 25-34 | 10% | |
| 35-44 | 18% | |
| 45-54 | 27% | |
| 55+ | 28% |
of the worldwide MSN audience comes from Germany.
| Country | Share |
|---|---|
| United States | 38.9% |
| Japan | 8.3% |
| France | 7.6% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Thüringen | ~100K | 1.42× | |
| 02 | Sachsen-Anhalt | ~100K | 1.32× | |
| 03 | Brandenburg | ~100K | 1.29× | |
| 04 | Sachsen | ~200K | 1.18× | |
| 05 | Saarland | ~50K | 1.07× | |
| 06 | Mecklenburg-Vorpommern | ~70K | 1.06× | |
| 07 | Bayern | ~600K | 1.03× | |
| 08 | Baden-Württemberg | ~500K | 1.03× | |
| 09 | Rheinland-Pfalz | ~200K | 0.97× | |
| 10 | Niedersachsen | ~300K | 0.92× | |
| 11 | Nordrhein-Westfalen | ~700K | 0.91× | |
| 12 | Hessen | ~200K | 0.89× | |
| 13 | Schleswig-Holstein | ~100K | 0.78× | |
| 14 | Bremen | ~20K | 0.76× | |
| 15 | Berlin | ~100K | 0.70× | |
| 16 | Hamburg | ~50K | 0.67× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Miguel Indurain | Sports | 114.56× | ||
| 02 | Wetter.com | Internet & Social Media | 6.93× | ||
| 03 | Transfermarkt | Sports | 5.91× | ||
| 04 | Dolly Parton | Music & Radio | 5.18× | ||
| 05 | Microsoft | Technology & Electronics | 5.04× | ||
| 06 | GMX Mail | Internet & Social Media | 4.48× | ||
| 07 | Roland Kaiser | Music & Radio | 4.36× | ||
| 08 | FRITZ!Box | Technology & Electronics | 3.31× | ||
| 09 | Deutsche Bahn | Cars & Mobility | 2.94× | ||
| 10 | ZDF | Movies & TV | 2.65× | ||
| 11 | Sportschau | Sports | 2.61× | ||
| 12 | Chat GPT | Technology & Electronics | 2.31× | ||
| 13 | Amazon.com | Shopping | 2.22× | ||
| 14 | Soccer | Sports | 2.18× | ||
| 15 | REWE | Shopping | 2.13× | ||
| 16 | Tagesschau | Movies & TV | 2.12× | ||
| 17 | Discount stores | Shopping | 2.09× | ||
| 18 | Internet & Social Media | 2.03× | |||
| 19 | Design | Home & Garden | 1.81× | ||
| 20 | Shopping | Shopping | 1.71× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 2.61× | |
| Need for Security | CONSERVATISM | 2.17× | |
| Career Orientation | POWER | 2.08× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 1.06× | |
| Pet Ownership | JOY | 1.21× | |
| Sports Activity | POWER | 1.24× |
Cite as: “Rascasse Solution, Q3/2026, rascasse.com/explore/de/msn-42223” · Methodology