A data profile of the people who buy, follow and care about Software engineer in United States — modelled from more than twelve digital signal sources. Software engineer has an estimated audience of 299,273 people in United States.
The average Software engineer fan in United States is 28.6 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Business intelligence, Internet security, Data visualization, with strongest over-indexing on Business intelligence (96.12× the country average).
Demographically, the Software engineer audience skews more male with an average age of 28.6, and over-indexes on personality traits such as Need for Security, Community Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Software engineer fan in United States is more male, around 28.6 years old, with strong Need for Security tendencies and a notable affinity for Business intelligence.
The key figures that characterise the Software engineer profile in United States.
42.2% are female, 57.8% are male, average age 28.6.
| Metric | Value |
|---|---|
| Female | 42.2% |
| Male | 57.8% |
| Average age | 28.6 |
| Estimated audience size | 299,273 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 52% | |
| 20-29 | 21% | |
| 30-39 | 13% | |
| 40-49 | 9% | |
| 50+ | 6% |
of the worldwide Software engineer audience comes from United States.
| Country | Share |
|---|---|
| India | 17.8% |
| United States | 15.2% |
| Taiwan | 8.8% |
Where the Software engineer audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Texas | ~40K | 1.61× | |
| 02 | California | ~50K | 1.60× | |
| 03 | Washington | ~9K | 1.53× | |
| 04 | Georgia | ~10K | 1.48× | |
| 05 | New York | ~20K | 1.46× | |
| 06 | New Jersey | ~10K | 1.42× | |
| 07 | Maryland | ~7K | 1.39× | |
| 08 | Virginia | ~10K | 1.33× | |
| 09 | Massachusetts | ~8K | 1.29× | |
| 10 | Arizona | ~8K | 1.27× | |
| 11 | North Carolina | ~10K | 1.22× | |
| 12 | Illinois | ~10K | 1.17× | |
| 13 | Florida | ~20K | 1.14× | |
| 14 | Washington, District of Columbia | ~1K | 1.13× | |
| 15 | Hawaii | ~1K | 1.10× | |
| 16 | Mississippi | ~3K | 1.08× | |
| 17 | Minnesota | ~4K | 1.04× | |
| 18 | Louisiana | ~4K | 1.04× | |
| 19 | Alabama | ~4K | 1.03× | |
| 20 | Nevada | ~3K | 1.01× | |
| 21 | Arkansas | ~2K | 1.01× | |
| 22 | Delaware | <1K | 1.01× | |
| 23 | Connecticut | ~3K | 1.00× | |
| 24 | Utah | ~3K | 1.00× | |
| 25 | South Carolina | ~4K | 0.97× | |
| 26 | Pennsylvania | ~10K | 0.96× | |
| 27 | Oregon | ~3K | 0.94× | |
| 28 | Oklahoma | ~3K | 0.94× | |
| 29 | Kansas | ~2K | 0.94× | |
| 30 | Rhode Island | <1K | 0.94× | |
| 31 | Indiana | ~5K | 0.93× | |
| 32 | Michigan | ~7K | 0.92× | |
| 33 | Nebraska | ~1K | 0.92× | |
| 34 | Colorado | ~4K | 0.91× | |
| 35 | Tennessee | ~5K | 0.90× | |
| 36 | Ohio | ~8K | 0.89× | |
| 37 | North Dakota | <1K | 0.88× | |
| 38 | Missouri | ~4K | 0.87× | |
| 39 | Iowa | ~2K | 0.87× | |
| 40 | Kentucky | ~3K | 0.85× | |
| 41 | New Mexico | ~1K | 0.82× | |
| 42 | Alaska | <1K | 0.81× | |
| 43 | Idaho | ~1K | 0.80× | |
| 44 | Wisconsin | ~4K | 0.78× | |
| 45 | New Hampshire | <1K | 0.77× | |
| 46 | South Dakota | <1K | 0.75× | |
| 47 | Vermont | <1K | 0.71× | |
| 48 | West Virginia | <1K | 0.70× | |
| 49 | Maine | <1K | 0.66× | |
| 50 | Montana | <1K | 0.65× |
The strongest cross-interests of the Software engineer audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Internet security | Technology & Electronics | 158.33× | ||
| 02 | Tableau Software | Business & Career | 144.44× | ||
| 03 | Product Hunt | Internet & Social Media | 105.19× | ||
| 04 | Business intelligence | Business & Career | 96.12× | ||
| 05 | Data visualization | Technology & Electronics | 85.25× | ||
| 06 | Forex Online Trading | Business & Career | 46.23× | ||
| 07 | International education | Business & Career | 44.92× | ||
| 08 | Drone racing | Sports | 38.35× | ||
| 09 | Internet safety | Internet & Social Media | 37.11× | ||
| 10 | Derivative (finance) | Business & Career | 31.21× | ||
| 11 | Commodity market | Business & Career | 29.31× | ||
| 12 | Web server | Technology & Electronics | 24.25× | ||
| 13 | Data science | Business & Career | 15.71× | ||
| 14 | Computer security | Business & Career | 14.66× | ||
| 15 | Disneyland Paris | Travel & Leisure | 9.27× | ||
| 16 | Information security | Business & Career | 9.11× | ||
| 17 | Antique car | Cars & Mobility | 7.86× | ||
| 18 | Internet & Social Media | 6.69× | |||
| 19 | Tesla Motors | Cars & Mobility | 5.80× | ||
| 20 | Innovation | Business & Career | 4.80× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 10.92× | |
| Community Orientation | OPEN | 3.28× | |
| Early Adopter Mentality | POWER | 2.33× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.65× | |
| Extroversion | THRILL | 0.70× | |
| DIY Mentality | THRILL | 0.76× |
Software engineer has an estimated audience of 299,273 people in United States, concentrated in California and Texas.
42.2% of Software engineer fans are female, 57.8% are male, with an average age of 28.6 years.
Software engineer fans show strongest brand affinity for Business intelligence (96.12×), Internet security (158.33×), and Data visualization (85.25×) over the country average.
Software engineer fans in United States are most concentrated in California (reach ~50K), Texas (reach ~40K), and New York (reach ~20K). These three regions account for the largest share of the active audience.
Beyond Software engineer itself, the audience over-indexes on Internet security (158.33×), Data visualization (85.25×), Web server (24.25×), and International education (44.92×) 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 engineer. 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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