A data profile of the people who buy, follow and care about Kenya Moore in United States — modelled from more than twelve digital signal sources. Kenya Moore has an estimated audience of 673,950 people in United States.
The average Kenya Moore fan in United States is 40.1 years old, more female, and lives primarily in Texas.
The audience is concentrated in Texas, California, Georgia.
Top brand affinities include Kim Zolciak, Bethenny Frankel, Sharon Osbourne, with strongest over-indexing on Kim Zolciak (78.51× the country average).
Demographically, the Kenya Moore audience skews more female with an average age of 40.1, and over-indexes on personality traits such as Career Orientation, Community Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Kenya Moore fan in United States is more female, around 40.1 years old, with strong Career Orientation tendencies and a notable affinity for Kim Zolciak.
The key figures that characterise the Kenya Moore profile in United States.
76.7% are female, 23.3% are male, average age 40.1.
| Metric | Value |
|---|---|
| Female | 76.7% |
| Male | 23.3% |
| Average age | 40.1 |
| Estimated audience size | 673,950 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 14% | |
| 20-29 | 18% | |
| 30-39 | 26% | |
| 40-49 | 28% | |
| 50+ | 14% |
of the worldwide Kenya Moore audience comes from United States.
| Country | Share |
|---|---|
| United States | 74.9% |
| United Kingdom | 6.8% |
| South Africa | 3.2% |
Where the Kenya Moore audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Georgia | ~70K | 2.84× | |
| 02 | Maryland | ~30K | 2.15× | |
| 03 | Mississippi | ~10K | 2.10× | |
| 04 | Louisiana | ~20K | 2.09× | |
| 05 | Washington, District of Columbia | ~5K | 2.05× | |
| 06 | Alabama | ~20K | 1.77× | |
| 07 | South Carolina | ~20K | 1.62× | |
| 08 | North Carolina | ~40K | 1.58× | |
| 09 | Delaware | ~3K | 1.44× | |
| 10 | Virginia | ~30K | 1.33× | |
| 11 | Michigan | ~30K | 1.32× | |
| 12 | New York | ~60K | 1.29× | |
| 13 | Tennessee | ~20K | 1.27× | |
| 14 | Illinois | ~30K | 1.22× | |
| 15 | Texas | ~90K | 1.21× | |
| 16 | New Jersey | ~20K | 1.16× | |
| 17 | Arkansas | ~8K | 1.16× | |
| 18 | Florida | ~60K | 1.12× | |
| 19 | Ohio | ~30K | 1.09× | |
| 20 | Pennsylvania | ~30K | 1.05× | |
| 21 | Missouri | ~10K | 1.05× | |
| 22 | Connecticut | ~8K | 0.97× | |
| 23 | Nevada | ~8K | 0.93× | |
| 24 | Kentucky | ~10K | 0.91× | |
| 25 | Indiana | ~10K | 0.90× | |
| 26 | Oklahoma | ~8K | 0.85× | |
| 27 | Rhode Island | ~2K | 0.83× | |
| 28 | California | ~70K | 0.80× | |
| 29 | Massachusetts | ~10K | 0.77× | |
| 30 | Kansas | ~5K | 0.73× | |
| 31 | Arizona | ~10K | 0.72× | |
| 32 | Minnesota | ~9K | 0.72× | |
| 33 | Nebraska | ~3K | 0.72× | |
| 34 | Hawaii | ~3K | 0.72× | |
| 35 | Wisconsin | ~9K | 0.71× | |
| 36 | West Virginia | ~3K | 0.70× | |
| 37 | Alaska | ~1K | 0.70× | |
| 38 | North Dakota | ~1K | 0.70× | |
| 39 | New Hampshire | ~2K | 0.69× | |
| 40 | Vermont | ~1K | 0.69× | |
| 41 | New Mexico | ~3K | 0.68× | |
| 42 | South Dakota | ~1K | 0.68× | |
| 43 | Idaho | ~3K | 0.64× | |
| 44 | Maine | ~2K | 0.64× | |
| 45 | Colorado | ~8K | 0.63× | |
| 46 | Montana | ~1K | 0.63× | |
| 47 | Washington | ~10K | 0.62× | |
| 48 | Iowa | ~4K | 0.61× | |
| 49 | Oregon | ~5K | 0.55× | |
| 50 | Utah | ~4K | 0.47× |
The strongest cross-interests of the Kenya Moore audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Kim Zolciak | Movies & TV | 78.51× | ||
| 02 | Bethenny Frankel | Movies & TV | 47.29× | ||
| 03 | NSYNC | Music & Radio | 27.26× | ||
| 04 | Master P | Music & Radio | 26.61× | ||
| 05 | Taron Egerton | Movies & TV | 20.00× | ||
| 06 | Josh Duhamel | Fashion & Accessoires | 20.00× | ||
| 07 | Erin Andrews | Sports | 20.00× | ||
| 08 | Sharon Osbourne | Movies & TV | 19.80× | ||
| 09 | Kyle Richards | Movies & TV | 18.73× | ||
| 10 | NDTV | Movies & TV | 16.51× | ||
| 11 | Meagan Good | Movies & TV | 15.39× | ||
| 12 | Teyana Taylor | Movies & TV | 13.33× | ||
| 13 | Seth Green | Movies & TV | 11.99× | ||
| 14 | Aretha Franklin | Music & Radio | 10.63× | ||
| 15 | StubHub | Travel & Leisure | 9.29× | ||
| 16 | Christina Applegate | Movies & TV | 8.41× | ||
| 17 | Michael B. Jordan | Movies & TV | 5.22× | ||
| 18 | Internet celebrity | Internet & Social Media | 4.71× | ||
| 19 | TMZ | Internet & Social Media | 3.01× | ||
| 20 | TikTok | Internet & Social Media | 2.47× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 1.75× | |
| Community Orientation | OPEN | 1.57× | |
| Indulgence | JOY | 1.52× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Sustainability | BALANCE | 0.63× | |
| Early Adopter Mentality | POWER | 0.69× | |
| Pet Ownership | JOY | 0.78× |
Kenya Moore has an estimated audience of 673,950 people in United States, concentrated in Texas and California.
76.7% of Kenya Moore fans are female, 23.3% are male, with an average age of 40.1 years.
Kenya Moore fans show strongest brand affinity for Kim Zolciak (78.51×), Bethenny Frankel (47.29×), and Sharon Osbourne (19.8×) over the country average.
Kenya Moore fans in United States are most concentrated in Texas (reach ~90K), California (reach ~70K), and Georgia (reach ~70K). These three regions account for the largest share of the active audience.
Beyond Kenya Moore itself, the audience over-indexes on Bethenny Frankel (47.29×), Sharon Osbourne (19.8×), Teyana Taylor (13.33×), and Taron Egerton (20×) 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 Kenya Moore. 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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