A data profile of the people who buy, follow and care about Application programming interface in India — modelled from more than twelve digital signal sources. Application programming interface has an estimated audience of 5,130,882 people in India.
Application programming interface has an estimated audience of 5,130,882 people in India. 24.0% are female, 76.0% are male, average age 31.5. Top brand affinities: Megan Fox, Christian Bale, Scarlett Johansson, Christopher Nolan, Pedro Pascal.
Top brand affinities include Megan Fox, Christian Bale, Scarlett Johansson, with strongest over-indexing on Megan Fox (8.96× the country average).
Demographically, the Application programming interface audience skews more male with an average age of 31.5, and over-indexes on personality traits such as Convenience Orientation, Indulgence.
The typical Application programming interface fan in India is more male, around 31.5 years old, with strong Convenience Orientation tendencies and a notable affinity for Megan Fox.
The key figures that characterise the Application programming interface profile in India.
24.0% are female, 76.0% are male, average age 31.5.
| Metric | Value |
|---|---|
| Female | 24.0% |
| Male | 76.0% |
| Average age | 31.5 |
| Estimated audience size | 5,130,882 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 37% | |
| 20-29 | 28% | |
| 30-39 | 17% | |
| 40-49 | 11% | |
| 50+ | 8% |
of the worldwide Application programming interface audience comes from India.
| Country | Share |
|---|---|
| United States | 16.2% |
| India | 6.3% |
| Brazil | 4.7% |
The strongest cross-interests of the Application programming interface audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Megan Fox | Movies & TV | 8.96× | ||
| 02 | Christian Bale | Movies & TV | 8.96× | ||
| 03 | Pedro Pascal | Movies & TV | 8.96× | ||
| 04 | Natalie Portman | Movies & TV | 8.96× | ||
| 05 | Nicole Kidman | Movies & TV | 8.96× | ||
| 06 | Matthew McConaughey | Movies & TV | 8.96× | ||
| 07 | Gal Gadot | Fashion & Accessoires | 8.96× | ||
| 08 | Jason Momoa | Movies & TV | 8.96× | ||
| 09 | Michael B. Jordan | Movies & TV | 8.96× | ||
| 10 | Bruce Willis | Movies & TV | 8.96× | ||
| 11 | Jumanji | Movies & TV | 8.96× | ||
| 12 | Michelle Rodriguez | Movies & TV | 8.96× | ||
| 13 | Steven Spielberg | Movies & TV | 8.96× | ||
| 14 | Sylvester Stallone | Movies & TV | 8.80× | ||
| 15 | Daniel Craig | Movies & TV | 8.78× | ||
| 16 | Charles Leclerc | Sports | 7.88× | ||
| 17 | Christopher Nolan | Movies & TV | 7.66× | ||
| 18 | Robert Pattinson | Movies & TV | 6.62× | ||
| 19 | Scarlett Johansson | Movies & TV | 6.23× | ||
| 20 | Chris Evans (actor) | Movies & TV | 5.76× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 1.85× | |
| Indulgence | JOY | 1.53× | |
| Career Orientation | POWER | 1.38× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 0.68× | |
| Creativity | OPEN | 0.70× | |
| Mindfulness | BALANCE | 0.78× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in India who actively search for Application programming interface. 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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