A data profile of the people who buy, follow and care about Weather forecasting in Germany — modelled from more than twelve digital signal sources. Weather forecasting has an estimated audience of 1,342,385 people in Germany.
The average Weather forecasting fan in Germany is 42.0 years old, balanced, and lives primarily in Nordrhein-Westfalen.
The audience is concentrated in Nordrhein-Westfalen, Bayern, Baden-Württemberg.
Top brand affinities include Claudia Kleinert, Jörg Kachelmann, Temperature, with strongest over-indexing on Claudia Kleinert (111.9× the country average).
Demographically, the Weather forecasting audience skews balanced with an average age of 42.0, and over-indexes on personality traits such as Convenience Orientation, Need for Security.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical Weather forecasting fan in Germany is balanced, around 42.0 years old, with strong Convenience Orientation tendencies and a notable affinity for Claudia Kleinert.
The key figures that characterise the Weather forecasting profile in Germany.
52.3% are female, 47.7% are male, average age 42.0.
| Metric | Value |
|---|---|
| Female | 52.3% |
| Male | 47.7% |
| Average age | 42.0 |
| Estimated audience size | 1,342,385 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 14% | |
| 20-29 | 18% | |
| 30-39 | 19% | |
| 40-49 | 23% | |
| 50+ | 26% |
of the worldwide Weather forecasting audience comes from Germany.
| Country | Share |
|---|---|
| Paraguay | 32.5% |
| United States | 20.1% |
| Italy | 5.8% |
Where the Weather forecasting audience in Germany is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Rheinland-Pfalz | ~90K | 1.32× | |
| 02 | Baden-Württemberg | ~200K | 1.31× | |
| 03 | Bayern | ~300K | 1.23× | |
| 04 | Sachsen-Anhalt | ~40K | 1.22× | |
| 05 | Niedersachsen | ~200K | 1.19× | |
| 06 | Sachsen | ~80K | 1.15× | |
| 07 | Hessen | ~100K | 1.09× | |
| 08 | Thüringen | ~40K | 1.09× | |
| 09 | Mecklenburg-Vorpommern | ~30K | 0.99× | |
| 10 | Schleswig-Holstein | ~50K | 0.97× | |
| 11 | Nordrhein-Westfalen | ~300K | 0.95× | |
| 12 | Brandenburg | ~40K | 0.92× | |
| 13 | Saarland | ~10K | 0.81× | |
| 14 | Hamburg | ~20K | 0.68× | |
| 15 | Bremen | ~7K | 0.64× | |
| 16 | Berlin | ~30K | 0.57× |
The strongest cross-interests of the Weather forecasting audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Claudia Kleinert | Movies & TV | 111.90× | ||
| 02 | Wetteronline.de | Home & Garden | 58.82× | ||
| 03 | Jörg Kachelmann | Movies & TV | 56.63× | ||
| 04 | Weather radar | Home & Garden | 49.83× | ||
| 05 | Knirps | Fashion & Accessoires | 40.35× | ||
| 06 | Benjamin Stöwe | Movies & TV | 38.22× | ||
| 07 | Donald Bäcker | Movies & TV | 38.21× | ||
| 08 | Maira Rothe | Movies & TV | 38.15× | ||
| 09 | Software widget | Technology & Electronics | 32.10× | ||
| 10 | Political movement | Politics & Society | 20.00× | ||
| 11 | AccuWeather | Home & Garden | 17.20× | ||
| 12 | Cardmaking | Kids & Family | 16.42× | ||
| 13 | Rain | Home & Garden | 16.40× | ||
| 14 | Google Street View | Internet & Social Media | 12.16× | ||
| 15 | Temperature | Health | 10.59× | ||
| 16 | SPRINTS | Music & Radio | 10.44× | ||
| 17 | Google Earth | Internet & Social Media | 9.40× | ||
| 18 | Weather | Home & Garden | 5.73× | ||
| 19 | Google Maps | Internet & Social Media | 4.35× | ||
| 20 | Tagesschau | Movies & TV | 2.81× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 1.76× | |
| Need for Security | CONSERVATISM | 1.73× | |
| Spirituality | BALANCE | 1.41× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.69× | |
| Design Affinity | PREMIUM | 0.73× | |
| Sustainability | BALANCE | 0.78× |
Weather forecasting has an estimated audience of 1,342,385 people in Germany, concentrated in Nordrhein-Westfalen and Bayern.
52.3% of Weather forecasting fans are female, 47.7% are male, with an average age of 42.0 years.
Weather forecasting fans show strongest brand affinity for Claudia Kleinert (111.9×), Jörg Kachelmann (56.63×), and Temperature (10.59×) over the country average.
Weather forecasting fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~300K), Bayern (reach ~300K), and Baden-Württemberg (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Weather forecasting itself, the audience over-indexes on Jörg Kachelmann (56.63×), Temperature (10.59×), Maira Rothe (38.15×), and Cardmaking (16.42×) compared to the Germany average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Germany who actively search for Weather forecasting. 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.
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.
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