A data profile of the people who buy, follow and care about Programming language in India — modelled from more than twelve digital signal sources. Programming language has an estimated audience of 5,707,026 people in India.
Programming language has an estimated audience of 5,707,026 people in India. 27.6% are female, 72.4% are male, average age 28.7. Top brand affinities: GitHub, Linux, Software engineering, JavaScript, C++.
Top brand affinities include GitHub, Linux, Software engineering, with strongest over-indexing on GitHub (4.37× the country average).
Demographically, the Programming language audience skews more male with an average age of 28.7, and over-indexes on personality traits such as Early Adopter Mentality, Career Orientation.
The typical Programming language fan in India is more male, around 28.7 years old, with strong Early Adopter Mentality tendencies and a notable affinity for GitHub.
The key figures that characterise the Programming language profile in India.
27.6% are female, 72.4% are male, average age 28.7.
| Metric | Value |
|---|---|
| Female | 27.6% |
| Male | 72.4% |
| Average age | 28.7 |
| Estimated audience size | 5,707,026 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 45% | |
| 20-29 | 30% | |
| 30-39 | 13% | |
| 40-49 | 7% | |
| 50+ | 5% |
of the worldwide Programming language audience comes from India.
| Country | Share |
|---|---|
| United States | 15.7% |
| China | 6.5% |
| Brazil | 4.3% |
The strongest cross-interests of the Programming language audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | JavaScript | Technology & Electronics | 4.63× | ||
| 02 | C++ | Technology & Electronics | 4.41× | ||
| 03 | GitHub | Internet & Social Media | 4.37× | ||
| 04 | MySQL | Technology & Electronics | 3.93× | ||
| 05 | Business analytics | Technology & Electronics | 3.55× | ||
| 06 | Software engineering | Business & Career | 3.54× | ||
| 07 | Linux | Technology & Electronics | 3.51× | ||
| 08 | Big data | Business & Career | 3.37× | ||
| 09 | Computer science | Business & Career | 3.19× | ||
| 10 | Machine learning | Business & Career | 2.75× | ||
| 11 | Udemy | Business & Career | 2.27× | ||
| 12 | Accounting | Business & Career | 1.98× | ||
| 13 | Axis Bank | Business & Career | 1.76× | ||
| 14 | HDFC Bank | Business & Career | 1.75× | ||
| 15 | Passive income | Business & Career | 1.75× | ||
| 16 | Stranger Things | Movies & TV | 1.67× | ||
| 17 | Young's | Food & Beverages | 1.55× | ||
| 18 | Artificial intelligence | Technology & Electronics | 1.53× | ||
| 19 | Innovation | Business & Career | 1.52× | ||
| 20 | Embroidery | Home & Garden | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 1.38× | |
| Career Orientation | POWER | 1.27× | |
| Indulgence | JOY | 1.16× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 0.69× | |
| Creativity | OPEN | 0.75× | |
| Design Affinity | PREMIUM | 0.79× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in India who actively search for Programming language. 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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