A data profile of the people who buy, follow and care about GitHub in United States — modelled from more than twelve digital signal sources. GitHub has an estimated audience of 13,663,958 people in United States.
The average GitHub fan in United States is 29.3 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include PHP, Movies, Outdoor recreation, with strongest over-indexing on PHP (4.48× the country average).
Demographically, the GitHub audience skews more female with an average age of 29.3, and over-indexes on personality traits such as Mindfulness, Luxury Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical GitHub fan in United States is more female, around 29.3 years old, with strong Mindfulness tendencies and a notable affinity for PHP.
The key figures that characterise the GitHub profile in United States.
58.4% are female, 41.6% are male, average age 29.3.
| Metric | Value |
|---|---|
| Female | 58.4% |
| Male | 41.6% |
| Average age | 29.3 |
| Estimated audience size | 13,663,958 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 49% | |
| 20-29 | 22% | |
| 30-39 | 13% | |
| 40-49 | 9% | |
| 50+ | 7% |
of the worldwide GitHub audience comes from United States.
| Country | Share |
|---|---|
| China | 43.5% |
| United States | 9.7% |
| Japan | 6.0% |
Where the GitHub audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | California | ~3M | 2.18× | |
| 02 | Washington | ~500K | 1.92× | |
| 03 | Utah | ~200K | 1.72× | |
| 04 | Virginia | ~500K | 1.47× | |
| 05 | Massachusetts | ~400K | 1.47× | |
| 06 | Oregon | ~200K | 1.45× | |
| 07 | Washington, District of Columbia | ~50K | 1.29× | |
| 08 | New York | ~900K | 1.28× | |
| 09 | Maryland | ~300K | 1.21× | |
| 10 | New Jersey | ~400K | 1.19× | |
| 11 | Texas | ~1.5M | 1.14× | |
| 12 | Georgia | ~400K | 1.13× | |
| 13 | Colorado | ~200K | 1.11× | |
| 14 | Illinois | ~500K | 1.10× | |
| 15 | Arizona | ~300K | 1.08× | |
| 16 | Indiana | ~200K | 1.04× | |
| 17 | Idaho | ~70K | 1.03× | |
| 18 | Missouri | ~200K | 1.00× | |
| 19 | Pennsylvania | ~400K | 0.99× | |
| 20 | Kansas | ~100K | 0.99× | |
| 21 | North Carolina | ~400K | 0.98× | |
| 22 | Rhode Island | ~40K | 0.98× | |
| 23 | Louisiana | ~200K | 0.97× | |
| 24 | Nevada | ~100K | 0.97× | |
| 25 | Connecticut | ~100K | 0.95× | |
| 26 | Michigan | ~300K | 0.94× | |
| 27 | Florida | ~800K | 0.91× | |
| 28 | Ohio | ~400K | 0.90× | |
| 29 | New Hampshire | ~50K | 0.90× | |
| 30 | Iowa | ~90K | 0.89× | |
| 31 | Arkansas | ~90K | 0.89× | |
| 32 | Vermont | ~20K | 0.86× | |
| 33 | Minnesota | ~200K | 0.85× | |
| 34 | Oklahoma | ~100K | 0.84× | |
| 35 | Wisconsin | ~200K | 0.83× | |
| 36 | Tennessee | ~200K | 0.81× | |
| 37 | Alabama | ~100K | 0.81× | |
| 38 | Kentucky | ~100K | 0.77× | |
| 39 | Nebraska | ~50K | 0.77× | |
| 40 | Delaware | ~30K | 0.76× | |
| 41 | South Dakota | ~20K | 0.76× | |
| 42 | Hawaii | ~40K | 0.75× | |
| 43 | North Dakota | ~20K | 0.73× | |
| 44 | South Carolina | ~100K | 0.72× | |
| 45 | Maine | ~30K | 0.72× | |
| 46 | Montana | ~30K | 0.71× | |
| 47 | Mississippi | ~70K | 0.70× | |
| 48 | New Mexico | ~40K | 0.69× | |
| 49 | West Virginia | ~40K | 0.66× | |
| 50 | Alaska | ~20K | 0.66× |
The strongest cross-interests of the GitHub audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | MySQL | Technology & Electronics | 5.36× | ||
| 02 | HTML | Technology & Electronics | 4.83× | ||
| 03 | PHP | Technology & Electronics | 4.48× | ||
| 04 | Node.js | Technology & Electronics | 3.81× | ||
| 05 | MyFitnessPal | Sports | 3.34× | ||
| 06 | Programming language | Technology & Electronics | 2.44× | ||
| 07 | Bath and Bodyworks | Shopping | 2.44× | ||
| 08 | Cars (film) | Movies & TV | 2.06× | ||
| 09 | Dog lovers | Pets & Animals | 2.03× | ||
| 10 | Healthy habits | Health | 1.94× | ||
| 11 | Madea's Class Reunion | Movies & TV | 1.92× | ||
| 12 | Real Madrid C.F. | Sports | 1.84× | ||
| 13 | NBA playoffs | Sports | 1.81× | ||
| 14 | 1080i | Technology & Electronics | 1.77× | ||
| 15 | KPop Demon Hunters | Movies & TV | 1.72× | ||
| 16 | Harry Potter | Movies & TV | 1.66× | ||
| 17 | Taylor Swift | Music & Radio | 1.58× | ||
| 18 | Outdoor recreation | Sports | 1.52× | ||
| 19 | Movies | Movies & TV | 1.51× | ||
| 20 | Strength training | Sports | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Mindfulness | BALANCE | 1.43× | |
| Luxury Orientation | PREMIUM | 1.43× | |
| Pet Ownership | JOY | 1.39× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Tradition | CONSERVATISM | 0.59× | |
| Creativity | OPEN | 0.66× | |
| Convenience Orientation | PREMIUM | 0.67× |
GitHub has an estimated audience of 13,663,958 people in United States, concentrated in California and Texas.
58.4% of GitHub fans are female, 41.6% are male, with an average age of 29.3 years.
GitHub fans show strongest brand affinity for PHP (4.48×), Movies (1.51×), and Outdoor recreation (1.52×) over the country average.
GitHub fans in United States are most concentrated in California (reach ~3M), Texas (reach ~1.5M), and New York (reach ~900K). These three regions account for the largest share of the active audience.
Beyond GitHub itself, the audience over-indexes on Movies (1.51×), Outdoor recreation (1.52×), Harry Potter (1.66×), and MySQL (5.36×) compared to the United States average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in United States who actively search for GitHub. 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 United States. 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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