A data profile of the people who buy, follow and care about Computer program in India — modelled from more than twelve digital signal sources. Computer program has an estimated audience of 5,939,808 people in India.
Computer program has an estimated audience of 5,939,808 people in India. 24.1% are female, 75.9% are male, average age 31.3. Top brand affinities: Scarlett Johansson, Stranger Things, Game of Thrones, Christopher Nolan, Megan Fox.
Top brand affinities include Scarlett Johansson, Stranger Things, Game of Thrones, with strongest over-indexing on Scarlett Johansson (5.27× the country average).
Demographically, the Computer program audience skews more male with an average age of 31.3, and over-indexes on personality traits such as DIY Mentality, Early Adopter Mentality.
The typical Computer program fan in India is more male, around 31.3 years old, with strong DIY Mentality tendencies and a notable affinity for Scarlett Johansson.
The key figures that characterise the Computer program profile in India.
24.1% are female, 75.9% are male, average age 31.3.
| Metric | Value |
|---|---|
| Female | 24.1% |
| Male | 75.9% |
| Average age | 31.3 |
| Estimated audience size | 5,939,808 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 38% | |
| 20-29 | 28% | |
| 30-39 | 17% | |
| 40-49 | 10% | |
| 50+ | 8% |
of the worldwide Computer program audience comes from India.
| Country | Share |
|---|---|
| United States | 19.0% |
| India | 6.9% |
| Italy | 4.7% |
The strongest cross-interests of the Computer program audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Scarlett Johansson | Movies & TV | 5.27× | ||
| 02 | Christopher Nolan | Movies & TV | 5.27× | ||
| 03 | Megan Fox | Movies & TV | 5.27× | ||
| 04 | Christian Bale | Movies & TV | 5.27× | ||
| 05 | Robert Pattinson | Movies & TV | 5.27× | ||
| 06 | Pedro Pascal | Movies & TV | 5.27× | ||
| 07 | Natalie Portman | Movies & TV | 5.27× | ||
| 08 | Jim Carrey | Movies & TV | 5.27× | ||
| 09 | Nicole Kidman | Movies & TV | 5.27× | ||
| 10 | Prison Break | Movies & TV | 5.27× | ||
| 11 | Matthew McConaughey | Movies & TV | 5.27× | ||
| 12 | Chris Evans (actor) | Movies & TV | 5.18× | ||
| 13 | Maisie Williams | Movies & TV | 4.27× | ||
| 14 | Breaking Bad | Movies & TV | 3.51× | ||
| 15 | Videography | Internet & Social Media | 2.49× | ||
| 16 | Real property | Home & Garden | 2.45× | ||
| 17 | True Detective | Movies & TV | 2.39× | ||
| 18 | Stranger Things | Movies & TV | 2.22× | ||
| 19 | OnePlus | Technology & Electronics | 1.93× | ||
| 20 | Game of Thrones | Movies & TV | 1.83× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 1.55× | |
| Early Adopter Mentality | POWER | 1.48× | |
| Design Affinity | PREMIUM | 1.30× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 0.64× | |
| Need for Security | CONSERVATISM | 0.69× | |
| Creativity | OPEN | 0.75× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in India who actively search for Computer program. 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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