A data profile of the people who buy, follow and care about Jazz music in Poland — modelled from more than twelve digital signal sources. Jazz music has an estimated audience of 3,240,620 people in Poland.
Jazz music has an estimated audience of 3,240,620 people in Poland. 56.9% are female, 43.1% are male, average age 38.0. Top brand affinities: Rock music, Big beat, Office 365, Roblox, Anna Jantar.
Top brand affinities include Rock music, Big beat, Office 365, with strongest over-indexing on Rock music (1.54× the country average).
Demographically, the Jazz music audience skews more female with an average age of 38.0, and over-indexes on personality traits such as Design Affinity, Quality Awareness.
The typical Jazz music fan in Poland is more female, around 38.0 years old, with strong Design Affinity tendencies and a notable affinity for Rock music.
The key figures that characterise the Jazz music profile in Poland.
56.9% are female, 43.1% are male, average age 38.0.
| Metric | Value |
|---|---|
| Female | 56.9% |
| Male | 43.1% |
| Average age | 38.0 |
| Estimated audience size | 3,240,620 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 24% | |
| 20-29 | 20% | |
| 30-39 | 18% | |
| 40-49 | 17% | |
| 50+ | 21% |
of the worldwide Jazz music audience comes from Poland.
| Country | Share |
|---|---|
| United States | 22.4% |
| Brazil | 5.2% |
| Japan | 4.8% |
The strongest cross-interests of the Jazz music audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Big beat | Music & Radio | 4.29× | ||
| 02 | Conducting | Music & Radio | 2.37× | ||
| 03 | Anna Jantar | Music & Radio | 2.18× | ||
| 04 | Sophia Loren | Movies & TV | 1.91× | ||
| 05 | Liam Neeson | Movies & TV | 1.87× | ||
| 06 | Phil Collins | Music & Radio | 1.79× | ||
| 07 | Zorro | Literature | 1.77× | ||
| 08 | Demi Moore | Movies & TV | 1.75× | ||
| 09 | Daniel Olbrychski | Movies & TV | 1.72× | ||
| 10 | Natalie Portman | Movies & TV | 1.70× | ||
| 11 | Zendaya | Movies & TV | 1.62× | ||
| 12 | Ursula von der Leyen | Politics & Society | 1.61× | ||
| 13 | Frankenstein | Literature | 1.59× | ||
| 14 | DeviantArt | Internet & Social Media | 1.57× | ||
| 15 | Rock music | Music & Radio | 1.54× | ||
| 16 | Office 365 | Technology & Electronics | 1.54× | ||
| 17 | Anne Hathaway | Movies & TV | 1.54× | ||
| 18 | Roblox | Games | 1.52× | ||
| 19 | Frankenstein (1931 film) | Movies & TV | 1.52× | ||
| 20 | Monica Bellucci | Movies & TV | 1.52× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 1.64× | |
| Quality Awareness | PREMIUM | 1.11× | |
| Early Adopter Mentality | POWER | 1.00× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.68× | |
| Sustainability | BALANCE | 0.75× | |
| Individualism | JOY | 0.80× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Poland who actively search for Jazz music. 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 Poland. 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.