A data profile of the people who buy, follow and care about Term life insurance in Germany — modelled from more than twelve digital signal sources. Term life insurance has an estimated audience of 258,488 people in Germany.
The average Term life insurance fan in Germany is 42.5 years old, balanced, and lives primarily in Nordrhein-Westfalen.
The audience is concentrated in Nordrhein-Westfalen, Baden-Württemberg, Bayern.
Top brand affinities include Mark Zuckerberg, Forex signals, forex trader, with strongest over-indexing on Mark Zuckerberg (23.19× the country average).
Demographically, the Term life insurance audience skews balanced with an average age of 42.5, and over-indexes on personality traits such as Career Orientation, Risk Appetite.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.
The typical Term life insurance fan in Germany is balanced, around 42.5 years old, with strong Career Orientation tendencies and a notable affinity for Mark Zuckerberg.
The key figures that characterise the Term life insurance profile in Germany.
52.2% are female, 47.8% are male, average age 42.5.
| Metric | Value |
|---|---|
| Female | 52.2% |
| Male | 47.8% |
| Average age | 42.5 |
| Estimated audience size | 258,488 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 16% | |
| 20-29 | 16% | |
| 30-39 | 13% | |
| 40-49 | 24% | |
| 50+ | 30% |
of the worldwide Term life insurance audience comes from Germany.
| Country | Share |
|---|---|
| United States | 23.3% |
| India | 19.9% |
| Japan | 14.4% |
Where the Term life insurance audience in Germany is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Saarland | ~4K | 1.19× | |
| 02 | Bremen | ~3K | 1.18× | |
| 03 | Thüringen | ~8K | 1.17× | |
| 04 | Nordrhein-Westfalen | ~60K | 1.13× | |
| 05 | Schleswig-Holstein | ~10K | 1.09× | |
| 06 | Rheinland-Pfalz | ~10K | 1.03× | |
| 07 | Hessen | ~20K | 1.02× | |
| 08 | Sachsen-Anhalt | ~7K | 1.01× | |
| 09 | Berlin | ~10K | 1.00× | |
| 10 | Baden-Württemberg | ~30K | 0.98× | |
| 11 | Mecklenburg-Vorpommern | ~5K | 0.97× | |
| 12 | Niedersachsen | ~20K | 0.94× | |
| 13 | Brandenburg | ~7K | 0.93× | |
| 14 | Bayern | ~30K | 0.82× | |
| 15 | Sachsen | ~10K | 0.82× | |
| 16 | Hamburg | ~5K | 0.81× |
The strongest cross-interests of the Term life insurance audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Options strategies | Business & Career | 24.40× | ||
| 02 | Chennai Super Kings | Sports | 24.23× | ||
| 03 | Mark Zuckerberg | Business & Career | 23.19× | ||
| 04 | Algorithmic trading | Business & Career | 21.27× | ||
| 05 | XForex | Business & Career | 20.62× | ||
| 06 | Forex signals | Business & Career | 19.50× | ||
| 07 | Forex Factory | Business & Career | 19.01× | ||
| 08 | KPMG | Business & Career | 17.68× | ||
| 09 | forex trader | Business & Career | 16.21× | ||
| 10 | Indian Premier League | Sports | 15.73× | ||
| 11 | Electronic trading platform | Business & Career | 15.72× | ||
| 12 | Forex Online Trading | Business & Career | 15.44× | ||
| 13 | Origin | Music & Radio | 14.64× | ||
| 14 | FXCM | Business & Career | 10.91× | ||
| 15 | Swing trading | Business & Career | 10.49× | ||
| 16 | Savings bank | Business & Career | 9.58× | ||
| 17 | Funny Videos | Internet & Social Media | 7.50× | ||
| 18 | Trade Republic | Business & Career | 6.35× | ||
| 19 | Deutsche Bank | Business & Career | 5.66× | ||
| 20 | FIFA World Cup | Sports | 2.05× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 2.23× | |
| Risk Appetite | THRILL | 1.85× | |
| Travelling | THRILL | 1.67× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Spirituality | BALANCE | 0.44× | |
| Extroversion | THRILL | 0.52× | |
| Patriotism | CONSERVATISM | 0.53× |
Term life insurance has an estimated audience of 258,488 people in Germany, concentrated in Nordrhein-Westfalen and Baden-Württemberg.
52.2% of Term life insurance fans are female, 47.8% are male, with an average age of 42.5 years.
Term life insurance fans show strongest brand affinity for Mark Zuckerberg (23.19×), Forex signals (19.5×), and forex trader (16.21×) over the country average.
Term life insurance fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~60K), Baden-Württemberg (reach ~30K), and Bayern (reach ~30K). These three regions account for the largest share of the active audience.
Beyond Term life insurance itself, the audience over-indexes on Forex signals (19.5×), forex trader (16.21×), Savings bank (9.58×), and Algorithmic trading (21.27×) 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 Term life insurance. 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.