A data profile of the people who buy, follow and care about Jazz music in India — modelled from more than twelve digital signal sources. Jazz music has an estimated audience of 9,354,906 people in India.
The average Jazz music fan in India is 32.0 years old, more male, and lives primarily in Maharashtra.
The audience is concentrated in Maharashtra, Uttar Pradesh, Karnataka.
Top brand affinities include Ayesha Khan, Bihari languages, Avneet Kaur, with strongest over-indexing on Ayesha Khan (1.51× the country average).
Demographically, the Jazz music audience skews more male with an average age of 32.0, and over-indexes on personality traits such as Spirituality, Social Media Usage.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 29 regions tracked by Rascasse.
The typical Jazz music fan in India is more male, around 32.0 years old, with strong Spirituality tendencies and a notable affinity for Ayesha Khan.
The key figures that characterise the Jazz music profile in India.
23.9% are female, 76.1% are male, average age 32.0.
| Metric | Value |
|---|---|
| Female | 23.9% |
| Male | 76.1% |
| Average age | 32.0 |
| Estimated audience size | 9,354,906 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 34% | |
| 20-29 | 29% | |
| 30-39 | 18% | |
| 40-49 | 11% | |
| 50+ | 8% |
of the worldwide Jazz music audience comes from India.
| Country | Share |
|---|---|
| United States | 22.4% |
| Brazil | 5.2% |
| Japan | 4.8% |
Where the Jazz music audience in India is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Goa | ~10K | 1.37× | |
| 02 | Maharashtra | ~600K | 1.28× | |
| 03 | Karnataka | ~300K | 1.25× | |
| 04 | Sikkim | ~5K | 1.17× | |
| 05 | Arunachal Pradesh | ~6K | 1.06× | |
| 06 | Kerala | ~100K | 1.05× | |
| 07 | Manipur | ~10K | 1.05× | |
| 08 | Nagaland | ~7K | 1.04× | |
| 09 | Mizoram | ~7K | 1.04× | |
| 10 | Assam | ~100K | 1.03× | |
| 11 | Tamil Nadu | ~200K | 1.01× | |
| 12 | West Bengal | ~300K | 1.00× | |
| 13 | Meghalaya | ~10K | 1.00× | |
| 14 | Tripura | ~10K | 0.97× | |
| 15 | Telangana | ~100K | 0.95× | |
| 16 | Uttarakhand | ~40K | 0.95× | |
| 17 | Himachal Pradesh | ~30K | 0.91× | |
| 18 | Punjab (region) | ~100K | 0.90× | |
| 19 | Chhattisgarh | ~50K | 0.89× | |
| 20 | Haryana | ~100K | 0.88× | |
| 21 | Andhra Pradesh | ~100K | 0.87× | |
| 22 | Jharkhand | ~70K | 0.87× | |
| 23 | Jammu and Kashmir | ~40K | 0.87× | |
| 24 | Madhya Pradesh | ~100K | 0.80× | |
| 25 | Odisha | ~80K | 0.80× | |
| 26 | Gujarat | ~200K | 0.79× | |
| 27 | Rajasthan | ~200K | 0.75× | |
| 28 | Uttar Pradesh | ~300K | 0.74× | |
| 29 | Bihar | ~100K | 0.69× |
The strongest cross-interests of the Jazz music audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Western swing | Music & Radio | 2.00× | ||
| 02 | Massage table | Health | 1.90× | ||
| 03 | Bihari languages | Politics & Society | 1.81× | ||
| 04 | Ragtime | Music & Radio | 1.76× | ||
| 05 | Carry On (franchise) | Movies & TV | 1.75× | ||
| 06 | Bluegrass music | Music & Radio | 1.74× | ||
| 07 | Videophone | Technology & Electronics | 1.71× | ||
| 08 | viki | Movies & TV | 1.70× | ||
| 09 | Diya Aur Baati Hum | Movies & TV | 1.67× | ||
| 10 | Spiritual (music) | Music & Radio | 1.63× | ||
| 11 | Sheikh Hasina | Politics & Society | 1.59× | ||
| 12 | Mujra | Arts & Culture | 1.59× | ||
| 13 | Avneet Kaur | Movies & TV | 1.57× | ||
| 14 | Prime Minister of Bangladesh | Politics & Society | 1.57× | ||
| 15 | Kumkum Bhagya | Movies & TV | 1.56× | ||
| 16 | Ilaiyaraaja | Music & Radio | 1.56× | ||
| 17 | American folk music | Music & Radio | 1.55× | ||
| 18 | Shimla district | Travel & Leisure | 1.53× | ||
| 19 | Electroacoustic music | Music & Radio | 1.52× | ||
| 20 | Ayesha Khan | Movies & TV | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Spirituality | BALANCE | 0.87× | |
| Social Media Usage | JOY | 0.86× | |
| Tradition | CONSERVATISM | 0.86× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Risk Appetite | THRILL | 0.65× | |
| Early Adopter Mentality | POWER | 0.65× | |
| Convenience Orientation | PREMIUM | 0.67× |
Jazz music has an estimated audience of 9,354,906 people in India, concentrated in Maharashtra and Uttar Pradesh.
23.9% of Jazz music fans are female, 76.1% are male, with an average age of 32.0 years.
Jazz music fans show strongest brand affinity for Ayesha Khan (1.51×), Bihari languages (1.81×), and Avneet Kaur (1.57×) over the country average.
Jazz music fans in India are most concentrated in Maharashtra (reach ~600K), Uttar Pradesh (reach ~300K), and Karnataka (reach ~300K). These three regions account for the largest share of the active audience.
Beyond Jazz music itself, the audience over-indexes on Bihari languages (1.81×), Avneet Kaur (1.57×), Kumkum Bhagya (1.56×), and viki (1.7×) compared to the India average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in India 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 India. 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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