A data profile of the people who buy, follow and care about Software framework in United States — modelled from more than twelve digital signal sources. Software framework has an estimated audience of 1,160,372 people in United States.
The average Software framework fan in United States is 39.4 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Fujitsu, JIRA, MongoDB, with strongest over-indexing on Fujitsu (152.69× the country average).
Demographically, the Software framework audience skews more male with an average age of 39.4, and over-indexes on personality traits such as Family Orientation, Early Adopter Mentality.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Software framework fan in United States is more male, around 39.4 years old, with strong Family Orientation tendencies and a notable affinity for Fujitsu.
The key figures that characterise the Software framework profile in United States.
43.3% are female, 56.7% are male, average age 39.4.
| Metric | Value |
|---|---|
| Female | 43.3% |
| Male | 56.7% |
| Average age | 39.4 |
| Estimated audience size | 1,160,372 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 19% | |
| 20-29 | 20% | |
| 30-39 | 20% | |
| 40-49 | 20% | |
| 50+ | 21% |
Where the Software framework audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | North Dakota | ~3K | 1.29× | |
| 02 | South Dakota | ~3K | 1.25× | |
| 03 | Montana | ~4K | 1.19× | |
| 04 | Delaware | ~4K | 1.14× | |
| 05 | Rhode Island | ~4K | 1.13× | |
| 06 | West Virginia | ~6K | 1.10× | |
| 07 | Maine | ~5K | 1.10× | |
| 08 | Idaho | ~6K | 1.09× | |
| 09 | Nebraska | ~6K | 1.09× | |
| 10 | New Hampshire | ~5K | 1.09× | |
| 11 | Hawaii | ~5K | 1.08× | |
| 12 | New Mexico | ~6K | 1.05× | |
| 13 | Washington, District of Columbia | ~4K | 1.05× | |
| 14 | Arkansas | ~10K | 1.04× | |
| 15 | Mississippi | ~10K | 1.03× | |
| 16 | Iowa | ~10K | 1.03× | |
| 17 | Alaska | ~3K | 1.02× | |
| 18 | Utah | ~10K | 1.01× | |
| 19 | Kansas | ~9K | 1.01× | |
| 20 | Kentucky | ~10K | 1.00× | |
| 21 | Oklahoma | ~10K | 1.00× | |
| 22 | Vermont | ~2K | 1.00× | |
| 23 | Alabama | ~20K | 0.99× | |
| 24 | Louisiana | ~10K | 0.99× | |
| 25 | Oregon | ~10K | 0.99× | |
| 26 | Connecticut | ~10K | 0.99× | |
| 27 | Nevada | ~10K | 0.99× | |
| 28 | Missouri | ~20K | 0.97× | |
| 29 | South Carolina | ~20K | 0.97× | |
| 30 | Wisconsin | ~20K | 0.97× | |
| 31 | Tennessee | ~20K | 0.96× | |
| 32 | Indiana | ~20K | 0.96× | |
| 33 | Maryland | ~20K | 0.96× | |
| 34 | Colorado | ~20K | 0.96× | |
| 35 | Minnesota | ~20K | 0.96× | |
| 36 | Arizona | ~20K | 0.95× | |
| 37 | Massachusetts | ~20K | 0.95× | |
| 38 | Michigan | ~30K | 0.94× | |
| 39 | Virginia | ~30K | 0.94× | |
| 40 | Washington | ~20K | 0.94× | |
| 41 | Ohio | ~30K | 0.93× | |
| 42 | Georgia | ~30K | 0.93× | |
| 43 | North Carolina | ~30K | 0.93× | |
| 44 | New Jersey | ~30K | 0.93× | |
| 45 | Pennsylvania | ~40K | 0.92× | |
| 46 | Illinois | ~40K | 0.92× | |
| 47 | Florida | ~70K | 0.88× | |
| 48 | New York | ~60K | 0.87× | |
| 49 | Texas | ~80K | 0.84× | |
| 50 | California | ~100K | 0.80× |
The strongest cross-interests of the Software framework audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Fujitsu | Technology & Electronics | 152.69× | ||
| 02 | Rackspace | Technology & Electronics | 63.57× | ||
| 03 | MongoDB | Technology & Electronics | 47.02× | ||
| 04 | JIRA | Technology & Electronics | 46.09× | ||
| 05 | Rosie O'Donnell | Movies & TV | 20.00× | ||
| 06 | Massive open online course | Business & Career | 20.00× | ||
| 07 | DevOps | Technology & Electronics | 19.53× | ||
| 08 | Data science | Business & Career | 13.17× | ||
| 09 | Mary Elizabeth Winstead | Movies & TV | 11.97× | ||
| 10 | Key Food | Shopping | 11.36× | ||
| 11 | Dropbox (service) | Technology & Electronics | 10.10× | ||
| 12 | Web server | Technology & Electronics | 7.96× | ||
| 13 | Microsoft Word | Technology & Electronics | 6.44× | ||
| 14 | Internet & Social Media | 6.26× | |||
| 15 | Innovation | Business & Career | 5.69× | ||
| 16 | Renewable energy | Business & Career | 3.73× | ||
| 17 | FedEx | Business & Career | 3.60× | ||
| 18 | T-Mobile | Technology & Electronics | 2.54× | ||
| 19 | Mortgage loans | Business & Career | 2.48× | ||
| 20 | Internet & Social Media | 2.29× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Family Orientation | CONSERVATISM | 2.30× | |
| Early Adopter Mentality | POWER | 2.04× | |
| Patriotism | CONSERVATISM | 1.84× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 0.66× | |
| Design Affinity | PREMIUM | 0.68× | |
| Pet Ownership | JOY | 0.73× |
Software framework has an estimated audience of 1,160,372 people in United States, concentrated in California and Texas.
43.3% of Software framework fans are female, 56.7% are male, with an average age of 39.4 years.
Software framework fans show strongest brand affinity for Fujitsu (152.69×), JIRA (46.09×), and MongoDB (47.02×) over the country average.
Software framework fans in United States are most concentrated in California (reach ~100K), Texas (reach ~80K), and Florida (reach ~70K). These three regions account for the largest share of the active audience.
Beyond Software framework itself, the audience over-indexes on JIRA (46.09×), MongoDB (47.02×), Rosie O'Donnell (20×), and Rackspace (63.57×) 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 framework. 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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