A data profile of the people who buy, follow and care about Mobile technology in United States — modelled from more than twelve digital signal sources. Mobile technology has an estimated audience of 386,204 people in United States.
The average Mobile technology fan in United States is 41.0 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Size?, Web server, Near field communication, with strongest over-indexing on Size? (112.86× the country average).
Demographically, the Mobile technology audience skews more male with an average age of 41.0, and over-indexes on personality traits such as Family 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 Mobile technology fan in United States is more male, around 41.0 years old, with strong Family Orientation tendencies and a notable affinity for Size?.
The key figures that characterise the Mobile technology profile in United States.
41.5% are female, 58.5% are male, average age 41.0.
| Metric | Value |
|---|---|
| Female | 41.5% |
| Male | 58.5% |
| Average age | 41.0 |
| Estimated audience size | 386,204 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 14% | |
| 20-29 | 19% | |
| 30-39 | 21% | |
| 40-49 | 22% | |
| 50+ | 23% |
of the worldwide Mobile technology audience comes from United States.
| Country | Share |
|---|---|
| Bangladesh | 16.1% |
| United Kingdom | 16.0% |
| United States | 14.5% |
Where the Mobile technology audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Massachusetts | ~20K | 3.15× | |
| 02 | Georgia | ~30K | 2.64× | |
| 03 | North Carolina | ~30K | 2.41× | |
| 04 | Missouri | ~10K | 1.57× | |
| 05 | Florida | ~30K | 1.29× | |
| 06 | South Carolina | ~7K | 1.21× | |
| 07 | Nevada | ~4K | 1.16× | |
| 08 | Indiana | ~8K | 1.15× | |
| 09 | Idaho | ~2K | 1.12× | |
| 10 | Alaska | <1K | 1.10× | |
| 11 | Delaware | ~1K | 1.09× | |
| 12 | Vermont | <1K | 1.07× | |
| 13 | North Dakota | <1K | 1.06× | |
| 14 | Texas | ~30K | 1.04× | |
| 15 | New Jersey | ~10K | 1.04× | |
| 16 | Arkansas | ~3K | 1.03× | |
| 17 | Hawaii | ~2K | 1.02× | |
| 18 | South Dakota | <1K | 1.02× | |
| 19 | Louisiana | ~5K | 1.01× | |
| 20 | Montana | ~1K | 0.99× | |
| 21 | Michigan | ~10K | 0.98× | |
| 22 | Nebraska | ~2K | 0.97× | |
| 23 | Rhode Island | ~1K | 0.97× | |
| 24 | Washington, District of Columbia | ~1K | 0.96× | |
| 25 | West Virginia | ~2K | 0.95× | |
| 26 | Alabama | ~5K | 0.94× | |
| 27 | Oregon | ~4K | 0.94× | |
| 28 | Maine | ~1K | 0.94× | |
| 29 | Kansas | ~3K | 0.93× | |
| 30 | New Hampshire | ~1K | 0.93× | |
| 31 | Washington | ~7K | 0.92× | |
| 32 | Mississippi | ~3K | 0.91× | |
| 33 | New Mexico | ~2K | 0.91× | |
| 34 | Arizona | ~7K | 0.90× | |
| 35 | Oklahoma | ~4K | 0.89× | |
| 36 | Iowa | ~3K | 0.89× | |
| 37 | Kentucky | ~4K | 0.88× | |
| 38 | Utah | ~3K | 0.88× | |
| 39 | Maryland | ~6K | 0.85× | |
| 40 | Colorado | ~5K | 0.84× | |
| 41 | Connecticut | ~3K | 0.83× | |
| 42 | California | ~30K | 0.82× | |
| 43 | Minnesota | ~4K | 0.80× | |
| 44 | Virginia | ~7K | 0.79× | |
| 45 | Tennessee | ~6K | 0.79× | |
| 46 | Wisconsin | ~5K | 0.78× | |
| 47 | New York | ~20K | 0.77× | |
| 48 | Pennsylvania | ~10K | 0.74× | |
| 49 | Illinois | ~9K | 0.73× | |
| 50 | Ohio | ~8K | 0.69× |
The strongest cross-interests of the Mobile technology audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Size? | Shopping | 112.86× | ||
| 02 | Near field communication | Technology & Electronics | 72.71× | ||
| 03 | Tobias Harris | Sports | 20.00× | ||
| 04 | Erin Andrews | Sports | 20.00× | ||
| 05 | Simon Helberg | Movies & TV | 20.00× | ||
| 06 | Kevin Love | Sports | 20.00× | ||
| 07 | Zach LaVine | Sports | 19.59× | ||
| 08 | Web server | Technology & Electronics | 18.88× | ||
| 09 | Tim Duncan | Sports | 17.99× | ||
| 10 | International education | Business & Career | 15.18× | ||
| 11 | Josh Duhamel | Fashion & Accessoires | 12.19× | ||
| 12 | Sharon Osbourne | Movies & TV | 9.75× | ||
| 13 | Information security | Business & Career | 6.37× | ||
| 14 | Sun tanning | Beauty & Wellness | 6.09× | ||
| 15 | Dunkin' Donuts | Food & Beverages | 4.19× | ||
| 16 | Innovation | Business & Career | 3.97× | ||
| 17 | Internet & Social Media | 3.96× | |||
| 18 | Burger King | Food & Beverages | 2.85× | ||
| 19 | T-Mobile | Technology & Electronics | 2.63× | ||
| 20 | X | Internet & Social Media | 2.05× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Family Orientation | CONSERVATISM | 2.17× | |
| Need for Security | CONSERVATISM | 2.14× | |
| Indulgence | JOY | 1.97× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 0.85× | |
| Sustainability | BALANCE | 0.87× | |
| Sports Activity | POWER | 0.87× |
Mobile technology has an estimated audience of 386,204 people in United States, concentrated in California and Texas.
41.5% of Mobile technology fans are female, 58.5% are male, with an average age of 41.0 years.
Mobile technology fans show strongest brand affinity for Size? (112.86×), Web server (18.88×), and Near field communication (72.71×) over the country average.
Mobile technology fans in United States are most concentrated in California (reach ~30K), Texas (reach ~30K), and Florida (reach ~30K). These three regions account for the largest share of the active audience.
Beyond Mobile technology itself, the audience over-indexes on Web server (18.88×), Near field communication (72.71×), Reddit (3.96×), and International education (15.18×) 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 Mobile technology. 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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