60 seconds to Napoli has an estimated audience of 3.1M people in Germany.
The average 60 seconds to Napoli fan in Germany is 39.5 years old, more female, and lives primarily in Nordrhein-Westfalen.
By number of fans, 60 seconds to Napoli ranks #7 among the 89 objects in Fast food restaurants in Germany — 54.1× the group median.
Its fans are 2.6 years older than the group average of 36.9.
Compared with the other 88 objects in Fast food restaurants, 60 seconds to Napoli fans stand out for their interest in Lunch, Gourmet Foods and Dinner.
Most fans live in Nordrhein-Westfalen, Baden-Württemberg, Bayern.
Top affinities include Lunch, Gourmet Foods, Dinner, with strongest over-indexing on Lunch (2.59× the country average).
Demographically, the 60 seconds to Napoli audience skews more female with an average age of 39.5, and over-indexes on personality traits such as Indulgence, Price Sensitivity.
The typical 60 seconds to Napoli fan in Germany is more female, around 39.5 years old, with strong Indulgence tendencies and a notable affinity for Lunch.
55.9% are female, 44.1% are male, average age 39.5.
| Metric | Value |
|---|---|
| Female | 55.9% |
| Male | 44.1% |
| Average age | 39.5 |
| Estimated audience size | 3.1M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 19% | |
| 25-34 | 20% | |
| 35-44 | 22% | |
| 45-54 | 21% | |
| 55+ | 18% |
of the worldwide 60 seconds to Napoli audience comes from Germany.
| Country | Share |
|---|---|
| Germany | 89.3% |
| Switzerland | 7.6% |
| Austria | 0.8% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Berlin | ~300K | 2.12× | |
| 02 | Hamburg | ~100K | 1.79× | |
| 03 | Baden-Württemberg | ~700K | 1.76× | |
| 04 | Nordrhein-Westfalen | ~1M | 1.64× | |
| 05 | Sachsen | ~200K | 1.41× | |
| 06 | Bremen | ~40K | 1.36× | |
| 07 | Bayern | ~400K | 0.82× | |
| 08 | Niedersachsen | ~200K | 0.80× | |
| 09 | Hessen | ~200K | 0.75× | |
| 10 | Schleswig-Holstein | ~80K | 0.75× | |
| 11 | Rheinland-Pfalz | ~90K | 0.61× | |
| 12 | Mecklenburg-Vorpommern | ~30K | 0.55× | |
| 13 | Brandenburg | ~50K | 0.54× | |
| 14 | Sachsen-Anhalt | ~40K | 0.49× | |
| 15 | Thüringen | ~40K | 0.46× | |
| 16 | Saarland | ~20K | 0.43× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Lunch | Food & Beverages | 2.59× | ||
| 02 | Gourmet Foods | Food & Beverages | 2.46× | ||
| 03 | Dinner | Food & Beverages | 2.42× | ||
| 04 | Take-out | Food & Beverages | 2.33× | ||
| 05 | Subway | Food & Beverages | 2.30× | ||
| 06 | Fast food restaurants | Food & Beverages | 2.26× | ||
| 07 | Pizza | Food & Beverages | 2.25× | ||
| 08 | Burger King | Food & Beverages | 2.20× | ||
| 09 | Fast casual restaurants | Food & Beverages | 2.16× | ||
| 10 | KFC | Food & Beverages | 2.06× | ||
| 11 | Seafood | Food & Beverages | 2.01× | ||
| 12 | Cookbook | Food & Beverages | 1.87× | ||
| 13 | Foodie | Food & Beverages | 1.87× | ||
| 14 | Italian cuisine | Food & Beverages | 1.75× | ||
| 15 | Breakfast | Food & Beverages | 1.72× | ||
| 16 | Handmade | Home & Garden | 1.70× | ||
| 17 | McDonald's | Food & Beverages | 1.63× | ||
| 18 | Decoration | Home & Garden | 1.60× | ||
| 19 | Self care | Health | 1.54× | ||
| 20 | Sewing | Home & Garden | 1.52× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 1.40× | |
| Price Sensitivity | PREMIUM | 1.21× | |
| Quality Awareness | PREMIUM | 1.21× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.73× | |
| Risk Appetite | THRILL | 0.84× | |
| Spirituality | BALANCE | 0.85× |
Cite as: “Rascasse Solution, Q3/2026, rascasse.com/explore/de/60-seconds-to-napoli-10186911” · Methodology