A data profile of the people who buy, follow and care about Programming language in Australia — modelled from more than twelve digital signal sources. Programming language has an estimated audience of 1,937,848 people in Australia.
Programming language has an estimated audience of 1,937,848 people in Australia. 49.2% are female, 50.8% are male, average age 38.4. Top brand affinities: GitHub, Linux, JavaScript, C++, YouTube Music.
Top brand affinities include GitHub, Linux, JavaScript, with strongest over-indexing on GitHub (7.89× the country average).
Demographically, the Programming language audience skews balanced with an average age of 38.4, and over-indexes on personality traits such as Career Orientation, Risk Appetite.
The typical Programming language fan in Australia is balanced, around 38.4 years old, with strong Career Orientation tendencies and a notable affinity for GitHub.
The key figures that characterise the Programming language profile in Australia.
49.2% are female, 50.8% are male, average age 38.4.
| Metric | Value |
|---|---|
| Female | 49.2% |
| Male | 50.8% |
| Average age | 38.4 |
| Estimated audience size | 1,937,848 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 20% | |
| 20-29 | 23% | |
| 30-39 | 19% | |
| 40-49 | 18% | |
| 50+ | 20% |
of the worldwide Programming language audience comes from Australia.
| 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 | GitHub | Internet & Social Media | 7.89× | ||
| 02 | Khan Academy | Business & Career | 6.70× | ||
| 03 | Skillshare | Kids & Family | 6.54× | ||
| 04 | Business analytics | Technology & Electronics | 6.48× | ||
| 05 | JavaScript | Technology & Electronics | 5.88× | ||
| 06 | Big data | Business & Career | 5.06× | ||
| 07 | C++ | Technology & Electronics | 4.90× | ||
| 08 | Linux | Technology & Electronics | 4.13× | ||
| 09 | YouTube Music | Internet & Social Media | 3.26× | ||
| 10 | Artificial intelligence | Technology & Electronics | 2.64× | ||
| 11 | BP | Cars & Mobility | 2.01× | ||
| 12 | Accounting | Business & Career | 2.01× | ||
| 13 | Wikipedia | Internet & Social Media | 1.93× | ||
| 14 | Bass guitar | Music & Radio | 1.80× | ||
| 15 | Mechanical engineering | Business & Career | 1.62× | ||
| 16 | Innovation | Business & Career | 1.61× | ||
| 17 | Stranger Things | Movies & TV | 1.60× | ||
| 18 | Electric guitar | Music & Radio | 1.59× | ||
| 19 | Target Corporation | Shopping | 1.54× | ||
| 20 | Manga | Literature | 1.53× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 1.40× | |
| Risk Appetite | THRILL | 1.30× | |
| Early Adopter Mentality | POWER | 1.20× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 0.78× | |
| Mindfulness | BALANCE | 0.81× | |
| Price Sensitivity | PREMIUM | 0.83× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Australia 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 Australia. 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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