A data profile of the people who buy, follow and care about Mount Everest in United States — modelled from more than twelve digital signal sources. Mount Everest has an estimated audience of 2,750,561 people in United States.
The average Mount Everest fan in United States is 35.4 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Dharan, Nepal, ekantipur, Bhojpuri language, with strongest over-indexing on Dharan, Nepal (116.48× the country average).
Demographically, the Mount Everest audience skews balanced with an average age of 35.4, and over-indexes on personality traits such as Risk Appetite, Patriotism.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Mount Everest fan in United States is balanced, around 35.4 years old, with strong Risk Appetite tendencies and a notable affinity for Dharan, Nepal.
The key figures that characterise the Mount Everest profile in United States.
50.0% are female, 50.0% are male, average age 35.4.
| Metric | Value |
|---|---|
| Female | 50.0% |
| Male | 50.0% |
| Average age | 35.4 |
| Estimated audience size | 2,750,561 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 26% | |
| 20-29 | 25% | |
| 30-39 | 19% | |
| 40-49 | 17% | |
| 50+ | 13% |
of the worldwide Mount Everest audience comes from United States.
| Country | Share |
|---|---|
| Nepal | 14.3% |
| United States | 14.1% |
| India | 12.5% |
Where the Mount Everest audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Alaska | ~8K | 1.43× | |
| 02 | Colorado | ~60K | 1.37× | |
| 03 | Wyoming | ~5K | 1.29× | |
| 04 | Washington | ~70K | 1.27× | |
| 05 | Utah | ~30K | 1.23× | |
| 06 | Montana | ~9K | 1.22× | |
| 07 | Idaho | ~20K | 1.16× | |
| 08 | New Hampshire | ~10K | 1.14× | |
| 09 | North Dakota | ~6K | 1.10× | |
| 10 | Arizona | ~60K | 1.09× | |
| 11 | Oregon | ~30K | 1.09× | |
| 12 | South Dakota | ~7K | 1.07× | |
| 13 | Oklahoma | ~30K | 1.06× | |
| 14 | Kansas | ~20K | 1.04× | |
| 15 | Hawaii | ~10K | 1.02× | |
| 16 | Massachusetts | ~50K | 1.01× | |
| 17 | Texas | ~200K | 1.00× | |
| 18 | Pennsylvania | ~90K | 1.00× | |
| 19 | New Mexico | ~10K | 1.00× | |
| 20 | Maine | ~10K | 1.00× | |
| 21 | Minnesota | ~40K | 0.99× | |
| 22 | New Jersey | ~70K | 0.98× | |
| 23 | Connecticut | ~30K | 0.97× | |
| 24 | Nevada | ~30K | 0.97× | |
| 25 | Nebraska | ~10K | 0.97× | |
| 26 | California | ~300K | 0.96× | |
| 27 | Georgia | ~80K | 0.95× | |
| 28 | Virginia | ~60K | 0.95× | |
| 29 | South Carolina | ~40K | 0.95× | |
| 30 | Alabama | ~40K | 0.95× | |
| 31 | Missouri | ~40K | 0.94× | |
| 32 | North Carolina | ~80K | 0.93× | |
| 33 | Wisconsin | ~40K | 0.93× | |
| 34 | Kentucky | ~30K | 0.93× | |
| 35 | Iowa | ~20K | 0.93× | |
| 36 | Maryland | ~40K | 0.92× | |
| 37 | Arkansas | ~20K | 0.92× | |
| 38 | Illinois | ~80K | 0.91× | |
| 39 | Ohio | ~80K | 0.91× | |
| 40 | Tennessee | ~50K | 0.91× | |
| 41 | Indiana | ~50K | 0.91× | |
| 42 | West Virginia | ~10K | 0.90× | |
| 43 | Florida | ~200K | 0.87× | |
| 44 | New York | ~100K | 0.87× | |
| 45 | Michigan | ~60K | 0.87× | |
| 46 | Louisiana | ~30K | 0.86× | |
| 47 | Mississippi | ~20K | 0.86× | |
| 48 | Rhode Island | ~7K | 0.85× | |
| 49 | Delaware | ~6K | 0.78× | |
| 50 | Washington, District of Columbia | ~6K | 0.75× |
The strongest cross-interests of the Mount Everest audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Nepalgunj | Travel & Leisure | 160.96× | ||
| 02 | Anju Panta | Music & Radio | 159.85× | ||
| 03 | ekantipur | News | 157.34× | ||
| 04 | DCnepal | News | 140.91× | ||
| 05 | Nagarik News | News | 139.30× | ||
| 06 | Rekha Thapa | Movies & TV | 124.75× | ||
| 07 | Rajesh Hamal | Movies & TV | 123.53× | ||
| 08 | Dharan, Nepal | Travel & Leisure | 116.48× | ||
| 09 | Bhojpuri language | Politics & Society | 73.21× | ||
| 10 | Nepali language | Politics & Society | 62.50× | ||
| 11 | University of Newcastle (Australia) | Business & Career | 47.23× | ||
| 12 | Inca Trail to Machu Picchu | Travel & Leisure | 35.00× | ||
| 13 | Kathmandu | Travel & Leisure | 27.81× | ||
| 14 | Alex Honnold | Sports | 14.20× | ||
| 15 | Nepal | Travel & Leisure | 10.30× | ||
| 16 | Urdu | Politics & Society | 9.60× | ||
| 17 | Online shopping | Shopping | 1.75× | ||
| 18 | Beauty | Beauty & Wellness | 1.75× | ||
| 19 | Personal finance | Business & Career | 1.69× | ||
| 20 | Business | Business & Career | 1.66× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Risk Appetite | THRILL | 1.94× | |
| Patriotism | CONSERVATISM | 1.87× | |
| Luxury Orientation | PREMIUM | 1.75× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.89× | |
| Indulgence | JOY | 0.92× | |
| Creativity | OPEN | 0.96× |
Mount Everest has an estimated audience of 2,750,561 people in United States, concentrated in California and Texas.
50.0% of Mount Everest fans are female, 50.0% are male, with an average age of 35.4 years.
Mount Everest fans show strongest brand affinity for Dharan, Nepal (116.48×), ekantipur (157.34×), and Bhojpuri language (73.21×) over the country average.
Mount Everest fans in United States are most concentrated in California (reach ~300K), Texas (reach ~200K), and Florida (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Mount Everest itself, the audience over-indexes on ekantipur (157.34×), Bhojpuri language (73.21×), Nepali language (62.5×), and Nepalgunj (160.96×) 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 Mount Everest. 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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