Waiting staff Audience in United States

Waiting staff has an estimated audience of 5,701,769 people in United States. 62.1% are female, 37.9% are male, average age 41.8. Top regions: California, New York, Texas. Top brand affinities: Keene, New Hampshire, Lulu 黃路梓茵, Mathcore, Google Home, Historic site.
The average Waiting staff fan in United States is 41.8 years old, more female, and lives primarily in California. The audience is concentrated in California, New York, Texas. Top brand affinities include Keene, New Hampshire, Lulu 黃路梓茵, Mathcore, with strongest over-indexing on Keene, New Hampshire (675× the country average). Demographically, the Waiting staff audience skews more female with an average age of 41.8, and over-indexes on personality traits such as Indulgence, Urban Lifestyle. Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
Category: Travel & Leisure · Type: Topic
Demographics of Waiting staff fans
| Metric | Value |
|---|---|
| Female | 62.1% |
| Male | 37.9% |
| Average age | 41.8 |
| Estimated audience size | 5,701,769 |
Audience persona
The typical Waiting staff fan in United States is more female, around 41.8 years old, with strong Indulgence tendencies and a notable affinity for Keene, New Hampshire.
Top regions in United States
| Region | Reach | Affinity |
|---|---|---|
| California | 656,803 | 1.05× |
| New York | 528,139 | 1.66× |
| Texas | 523,882 | 1.07× |
| Florida | 336,672 | 0.87× |
| Illinois | 201,991 | 1.06× |
| Massachusetts | 190,537 | 1.7× |
| Pennsylvania | 190,315 | 0.99× |
| New Jersey | 173,039 | 1.19× |
| North Carolina | 172,143 | 1× |
| Georgia | 149,732 | 0.85× |
| Michigan | 145,727 | 0.98× |
| Virginia | 134,658 | 0.97× |
| Ohio | 108,142 | 0.62× |
| Maryland | 107,664 | 1.1× |
| Washington | 103,707 | 0.91× |
| Arizona | 96,834 | 0.83× |
| Connecticut | 90,647 | 1.59× |
| Wisconsin | 86,187 | 1× |
| Tennessee | 79,496 | 0.7× |
| Oregon | 74,261 | 1.14× |
| Indiana | 74,052 | 0.71× |
| Colorado | 73,067 | 0.81× |
| Louisiana | 73,043 | 0.99× |
| Minnesota | 68,838 | 0.84× |
| Missouri | 67,580 | 0.74× |
| South Carolina | 67,234 | 0.78× |
| Oklahoma | 50,286 | 0.79× |
| Alabama | 47,903 | 0.6× |
| Nevada | 44,393 | 0.81× |
| Kentucky | 39,911 | 0.56× |
| Mississippi | 33,608 | 0.72× |
| Arkansas | 33,174 | 0.71× |
| Iowa | 32,438 | 0.69× |
| New Hampshire | 31,751 | 1.41× |
| Utah | 31,463 | 0.62× |
| Hawaii | 29,914 | 1.22× |
| Kansas | 27,050 | 0.6× |
| Rhode Island | 26,980 | 1.49× |
| Maine | 24,512 | 1.2× |
| Washington, District of Columbia | 22,996 | 1.34× |
| Nebraska | 21,142 | 0.74× |
| New Mexico | 18,557 | 0.65× |
| West Virginia | 18,496 | 0.7× |
| Alaska | 18,458 | 1.51× |
| Idaho | 17,080 | 0.6× |
| Vermont | 16,887 | 1.69× |
| Montana | 16,091 | 1.02× |
| South Dakota | 15,882 | 1.21× |
| North Dakota | 15,464 | 1.32× |
| Wyoming | 14,962 | 1.77× |
Top brand affinities
Brands and entities this audience over-indexes on, vs. the country average.
| Brand | Affinity | Category |
|---|---|---|
| Keene, New Hampshire | 675× | Travel & Leisure |
| Lulu 黃路梓茵 | 6.08× | Movies & TV |
| Mathcore | 18.06× | Music & Radio |
| Google Home | 11.62× | Technology & Electronics |
| Historic site | 4.62× | Arts & Culture |
| Goop | 5.8× | Internet & Social Media |
| The Historian | 16.48× | Literature |
| Israel | 2.17× | Travel & Leisure |
| Grinch | 3.96× | Movies & TV |
| Wok | 5.95× | Food & Beverages |
| Vocal harmony | 4.05× | Music & Radio |
| Governor of Michigan | 6.08× | Politics & Society |
| Hibachi | 6.08× | Food & Beverages |
| Eurail | 16.57× | Cars & Mobility |
| Grace Slick | 6.08× | Music & Radio |
| Fairy godmother | 5.09× | Literature |
| headspace | 6.08× | Health |
| Hipster | 6.08× | Politics & Society |
| Parral, Chihuahua | 8.99× | Travel & Leisure |
| Chromebook | 3.22× | Technology & Electronics |
Psychographic profile
Top six personality traits over-indexed by this audience (1.0 = country average).
| Trait | Cluster | Score |
|---|---|---|
| Indulgence | JOY | 1.42 |
| Urban Lifestyle | OPEN | 1.38 |
| Risk Appetite | THRILL | 1.37 |
| Healthy Lifestyle | BALANCE | 1.35 |
| Extroversion | THRILL | 1.33 |
| Family Orientation | CONSERVATISM | 1.3 |
Worldwide distribution
| Country | Share |
|---|---|
| United States | 51.6% |
| United Kingdom | 5.8% |
| Canada | 3.5% |
See Waiting staff audiences in other countries
More Travel & Leisure audiences in United States
- Food and drink (182,612,063)
- Music (181,108,961)
- Shopping and fashion (177,150,005)
- Sports and outdoors (173,827,889)
- Sports (173,190,295)
Frequently asked questions
How many fans does Waiting staff have in United States?
Waiting staff has an estimated audience of 5,701,769 people in United States, concentrated in California and New York.
What is the gender split and age of Waiting staff fans?
62.1% of Waiting staff fans are female, 37.9% are male, with an average age of 41.8 years.
Which brands do Waiting staff fans like most?
Waiting staff fans show strongest brand affinity for Keene, New Hampshire (675×), Lulu 黃路梓茵 (6.08×), and Mathcore (18.06×) over the country average.
Where do Waiting staff fans live in United States?
Waiting staff fans in United States are most concentrated in California (reach 656,803), New York (reach 528,139), and Texas (reach 523,882). These three regions account for the largest share of the active audience.
What other brands do Waiting staff fans also like?
Beyond Waiting staff itself, the audience over-indexes on Lulu 黃路梓茵 (6.08×), Mathcore (18.06×), Google Home (11.62×), and Historic site (4.62×) compared to the United States average.
How to read this data
Audience size is the estimated number of people in United States who actively search for Waiting staff. 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.
About this audience profile
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.