A data profile of the people who buy, follow and care about Software engineering in United States — modelled from more than twelve digital signal sources. Software engineering has an estimated audience of 13,003,505 people in United States.
The average Software engineering fan in United States is 33.7 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Music, Sports, Arts and music, with strongest over-indexing on Music (1.67× the country average).
Demographically, the Software engineering audience skews balanced with an average age of 33.7, and over-indexes on personality traits such as Career Orientation, Need for Security.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Software engineering fan in United States is balanced, around 33.7 years old, with strong Career Orientation tendencies and a notable affinity for Music.
The key figures that characterise the Software engineering profile in United States.
51.4% are female, 48.6% are male, average age 33.7.
| Metric | Value |
|---|---|
| Female | 51.4% |
| Male | 48.6% |
| Average age | 33.7 |
| Estimated audience size | 13,003,505 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 34% | |
| 20-29 | 23% | |
| 30-39 | 17% | |
| 40-49 | 14% | |
| 50+ | 12% |
Where the Software engineering audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Texas | ~2M | 1.61× | |
| 02 | California | ~2.5M | 1.60× | |
| 03 | Washington | ~400K | 1.53× | |
| 04 | Georgia | ~600K | 1.48× | |
| 05 | New York | ~1M | 1.46× | |
| 06 | New Jersey | ~500K | 1.42× | |
| 07 | Maryland | ~300K | 1.39× | |
| 08 | Virginia | ~400K | 1.33× | |
| 09 | Massachusetts | ~300K | 1.29× | |
| 10 | Arizona | ~300K | 1.27× | |
| 11 | North Carolina | ~500K | 1.22× | |
| 12 | Illinois | ~500K | 1.17× | |
| 13 | Florida | ~1M | 1.14× | |
| 14 | Washington, District of Columbia | ~40K | 1.13× | |
| 15 | Hawaii | ~60K | 1.10× | |
| 16 | Mississippi | ~100K | 1.08× | |
| 17 | Minnesota | ~200K | 1.04× | |
| 18 | Alabama | ~200K | 1.03× | |
| 19 | Louisiana | ~200K | 1.01× | |
| 20 | Nevada | ~100K | 1.01× | |
| 21 | Arkansas | ~100K | 1.01× | |
| 22 | Delaware | ~40K | 1.01× | |
| 23 | Connecticut | ~100K | 1.00× | |
| 24 | Utah | ~100K | 1.00× | |
| 25 | South Carolina | ~200K | 0.97× | |
| 26 | Pennsylvania | ~400K | 0.96× | |
| 27 | Michigan | ~300K | 0.94× | |
| 28 | Oregon | ~100K | 0.94× | |
| 29 | Oklahoma | ~100K | 0.94× | |
| 30 | Kansas | ~100K | 0.94× | |
| 31 | Rhode Island | ~40K | 0.94× | |
| 32 | Indiana | ~200K | 0.93× | |
| 33 | Nebraska | ~60K | 0.92× | |
| 34 | Colorado | ~200K | 0.91× | |
| 35 | Tennessee | ~200K | 0.90× | |
| 36 | Ohio | ~400K | 0.89× | |
| 37 | North Dakota | ~20K | 0.88× | |
| 38 | Missouri | ~200K | 0.87× | |
| 39 | Iowa | ~90K | 0.87× | |
| 40 | Kentucky | ~100K | 0.85× | |
| 41 | New Mexico | ~50K | 0.82× | |
| 42 | Alaska | ~20K | 0.81× | |
| 43 | Idaho | ~50K | 0.80× | |
| 44 | Wisconsin | ~200K | 0.78× | |
| 45 | New Hampshire | ~40K | 0.77× | |
| 46 | South Dakota | ~20K | 0.75× | |
| 47 | Vermont | ~20K | 0.71× | |
| 48 | West Virginia | ~40K | 0.70× | |
| 49 | Maine | ~30K | 0.66× | |
| 50 | Montana | ~20K | 0.65× |
The strongest cross-interests of the Software engineering audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Solar Energy World | Home & Garden | 43.17× | ||
| 02 | C (programming language) | Technology & Electronics | 6.10× | ||
| 03 | Software development | Business & Career | 5.08× | ||
| 04 | Programming language | Technology & Electronics | 3.78× | ||
| 05 | PHP | Technology & Electronics | 3.64× | ||
| 06 | College football | Sports | 2.37× | ||
| 07 | Ultimate Fighting Championship | Sports | 2.32× | ||
| 08 | Energy | Home & Garden | 2.29× | ||
| 09 | Rugby league | Sports | 2.27× | ||
| 10 | Walt Disney World | Travel & Leisure | 2.21× | ||
| 11 | Popular music | Music & Radio | 2.09× | ||
| 12 | Career | Business & Career | 1.98× | ||
| 13 | Wildlife | Travel & Leisure | 1.94× | ||
| 14 | Sports | Sports | 1.69× | ||
| 15 | Technology | Technology & Electronics | 1.68× | ||
| 16 | Music | Business & Career | 1.67× | ||
| 17 | Entertainment | Movies & TV | 1.64× | ||
| 18 | Arts and music | Arts & Culture | 1.62× | ||
| 19 | Celebrity | Movies & TV | 1.53× | ||
| 20 | Outdoor recreation | Sports | 1.50× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 1.48× | |
| Need for Security | CONSERVATISM | 1.43× | |
| Urban Lifestyle | OPEN | 1.34× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.73× | |
| Social Media Usage | JOY | 0.83× | |
| Creativity | OPEN | 0.84× |
Software engineering has an estimated audience of 13,003,505 people in United States, concentrated in California and Texas.
51.4% of Software engineering fans are female, 48.6% are male, with an average age of 33.7 years.
Software engineering fans show strongest brand affinity for Music (1.67×), Sports (1.69×), and Arts and music (1.62×) over the country average.
Software engineering fans in United States are most concentrated in California (reach ~2.5M), Texas (reach ~2M), and New York (reach ~1M). These three regions account for the largest share of the active audience.
Beyond Software engineering itself, the audience over-indexes on Sports (1.69×), Arts and music (1.62×), Entertainment (1.64×), and Energy (2.29×) 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 Software engineering. 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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