Jessie Bluegrey has an estimated audience of 997K people in Germany.
The average Jessie Bluegrey fan in Germany is 24.0 years old, more female, and lives primarily in Nordrhein-Westfalen.
By number of fans, Jessie Bluegrey ranks #23 among the 784 objects in Social media influencer in Germany — 1.6× the group median.
Its fans are 5.4 years younger than the group average of 29.4.
Women make up 66.2% of the fan base, 13.0 percentage points more than the group average.
Compared with the other 783 objects in Social media influencer, Jessie Bluegrey fans stand out for their interest in Pa Sports, KAYEF and Lune.
Most fans live in Nordrhein-Westfalen, Bayern, Baden-Württemberg.
Top affinities include Pa Sports, KAYEF, Lune, with strongest over-indexing on Pa Sports (223.71× the country average).
Demographically, the Jessie Bluegrey audience skews more female with an average age of 24.0, and over-indexes on personality traits such as Price Sensitivity, Pet Ownership.
The typical Jessie Bluegrey fan in Germany is more female, around 24.0 years old, with strong Price Sensitivity tendencies and a notable affinity for Pa Sports.
66.2% are female, 33.8% are male, average age 24.0.
| Metric | Value |
|---|---|
| Female | 66.2% |
| Male | 33.8% |
| Average age | 24.0 |
| Estimated audience size | 997K |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 77% | |
| 25-34 | 13% | |
| 35-44 | 5% | |
| 45-54 | 4% | |
| 55+ | 2% |
of the worldwide Jessie Bluegrey audience comes from Germany.
| Country | Share |
|---|---|
| Germany | 84.8% |
| Austria | 6.3% |
| Switzerland | 6.0% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Baden-Württemberg | ~200K | 1.24× | |
| 02 | Bayern | ~200K | 1.13× | |
| 03 | Sachsen | ~50K | 1.12× | |
| 04 | Rheinland-Pfalz | ~50K | 1.08× | |
| 05 | Brandenburg | ~30K | 1.07× | |
| 06 | Thüringen | ~30K | 1.04× | |
| 07 | Nordrhein-Westfalen | ~200K | 1.01× | |
| 08 | Niedersachsen | ~90K | 0.97× | |
| 09 | Schleswig-Holstein | ~30K | 0.97× | |
| 10 | Sachsen-Anhalt | ~20K | 0.95× | |
| 11 | Berlin | ~40K | 0.94× | |
| 12 | Hessen | ~70K | 0.93× | |
| 13 | Hamburg | ~20K | 0.92× | |
| 14 | Saarland | ~10K | 0.91× | |
| 15 | Bremen | ~7K | 0.88× | |
| 16 | Mecklenburg-Vorpommern | ~20K | 0.87× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Pa Sports | Music & Radio | 223.71× | ||
| 02 | KAYEF | Music & Radio | 92.28× | ||
| 03 | Lune | Music & Radio | 81.23× | ||
| 04 | Monet192 | Music & Radio | 78.27× | ||
| 05 | Majoe | Music & Radio | 55.40× | ||
| 06 | Julia Meladin | Internet & Social Media | 40.59× | ||
| 07 | SDP | Music & Radio | 20.43× | ||
| 08 | Michael Schulte | Music & Radio | 17.30× | ||
| 09 | Rosenstolz | Music & Radio | 11.02× | ||
| 10 | Finch | Music & Radio | 8.12× | ||
| 11 | SSIO | Music & Radio | 7.93× | ||
| 12 | Nico Santos | Music & Radio | 7.30× | ||
| 13 | Haftbefehl | Music & Radio | 6.94× | ||
| 14 | Shirin David | Beauty & Wellness | 5.56× | ||
| 15 | Ariana Grande | Music & Radio | 5.27× | ||
| 16 | Michael Patrick Kelly | Music & Radio | 5.15× | ||
| 17 | Ross Antony | Movies & TV | 4.73× | ||
| 18 | Ikkimel | Music & Radio | 4.12× | ||
| 19 | Roland Kaiser | Music & Radio | 2.80× | ||
| 20 | Taylor Swift | Music & Radio | 2.72× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 1.88× | |
| Pet Ownership | JOY | 1.43× | |
| Community Orientation | OPEN | 1.40× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.80× | |
| Risk Appetite | THRILL | 0.86× | |
| Sports Activity | POWER | 0.86× |
Cite as: “Rascasse Solution, Q3/2026, rascasse.com/explore/de/jessie-bluegrey-10009381” · Methodology