Baidu Audience in United States

Baidu has an estimated audience of 2,085,119 people in United States. 79.6% are female, 20.4% are male, average age 41.3. Top regions: California, New York, Texas. Top brand affinities: Taobao, Mitú, Michelle Yeoh, Priyanka Chopra, Nate Bargatze.
The average Baidu fan in United States is 41.3 years old, more female, and lives primarily in California. The audience is concentrated in California, New York, Texas. Top brand affinities include Taobao, Mitú, Michelle Yeoh, with strongest over-indexing on Taobao (28.28× the country average). Demographically, the Baidu audience skews more female with an average age of 41.3, and over-indexes on personality traits such as Luxury Orientation, Patriotism. Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
Category: Internet & Social Media · Type: Website / Newspaper / Magazine · Subtype: Search engine
Demographics of Baidu fans
| Metric | Value |
|---|---|
| Female | 79.6% |
| Male | 20.4% |
| Average age | 41.3 |
| Estimated audience size | 2,085,119 |
Audience persona
The typical Baidu fan in United States is more female, around 41.3 years old, with strong Luxury Orientation tendencies and a notable affinity for Taobao.
Top regions in United States
| Region | Reach | Affinity |
|---|---|---|
| California | 1,181,583 | 5.15× |
| New York | 271,299 | 2.33× |
| Texas | 172,186 | 0.96× |
| Washington | 121,783 | 2.91× |
| New Jersey | 96,794 | 1.83× |
| Massachusetts | 93,663 | 2.28× |
| Florida | 92,504 | 0.66× |
| Illinois | 87,444 | 1.26× |
| Pennsylvania | 71,033 | 1.01× |
| Virginia | 64,079 | 1.26× |
| Georgia | 64,036 | 1× |
| Maryland | 55,407 | 1.55× |
| Arizona | 52,673 | 1.24× |
| North Carolina | 51,941 | 0.83× |
| Ohio | 51,730 | 0.81× |
| Oregon | 50,045 | 2.09× |
| Michigan | 46,260 | 0.85× |
| Nevada | 32,793 | 1.63× |
| Indiana | 30,297 | 0.8× |
| Missouri | 28,425 | 0.85× |
| Wisconsin | 26,045 | 0.83× |
| Minnesota | 24,822 | 0.83× |
| Alabama | 23,663 | 0.81× |
| Connecticut | 21,464 | 1.03× |
| Colorado | 21,299 | 0.65× |
| Tennessee | 17,095 | 0.41× |
| Utah | 15,688 | 0.84× |
| Washington, District of Columbia | 15,552 | 2.48× |
| South Carolina | 14,819 | 0.47× |
| Louisiana | 13,373 | 0.5× |
| Oklahoma | 12,366 | 0.53× |
| Hawaii | 12,279 | 1.37× |
| Kentucky | 12,170 | 0.47× |
| Kansas | 10,222 | 0.62× |
| Iowa | 9,180 | 0.53× |
| Idaho | 7,050 | 0.67× |
| Arkansas | 7,002 | 0.41× |
| Nebraska | 6,683 | 0.64× |
| Delaware | 5,634 | 0.98× |
| Rhode Island | 5,150 | 0.78× |
| Mississippi | 4,593 | 0.27× |
| New Hampshire | 4,137 | 0.5× |
| New Mexico | 3,975 | 0.38× |
| West Virginia | 3,074 | 0.32× |
| Maine | 2,621 | 0.35× |
| Alaska | 1,807 | 0.41× |
| South Dakota | 1,672 | 0.35× |
| Montana | 1,560 | 0.27× |
| Vermont | 1,443 | 0.39× |
| North Dakota | 1,199 | 0.28× |
Top brand affinities
Brands and entities this audience over-indexes on, vs. the country average.
| Brand | Affinity | Category |
|---|---|---|
| Taobao | 28.28× | Shopping |
| Mitú | 17.07× | Travel & Leisure |
| Michelle Yeoh | 28.82× | Movies & TV |
| Priyanka Chopra | 22.24× | Movies & TV |
| Nate Bargatze | 12.35× | Music & Radio |
| Now TV | 38.63× | Movies & TV |
| Music of India | 28.29× | Music & Radio |
| Jackie Chan | 15.5× | Movies & TV |
| Fresh Off the Boat | 27.8× | Movies & TV |
| Chinese television drama | 27.74× | Movies & TV |
| Chinese astrology | 37.42× | Politics & Society |
| Mooncake | 26.88× | Food & Beverages |
| Jet Li | 27.87× | Movies & TV |
| Korean drama | 11.27× | Movies & TV |
| Gong Yoo | 29.02× | Movies & TV |
| Daniel Dae Kim | 23.46× | Movies & TV |
| Padma Lakshmi | 27.35× | Fashion & Accessoires |
| Taiwanese drama | 24.91× | Movies & TV |
| Bruce Lee | 16.04× | Movies & TV |
| IU (singer) | 23.7× | Music & Radio |
Psychographic profile
Top six personality traits over-indexed by this audience (1.0 = country average).
| Trait | Cluster | Score |
|---|---|---|
| Luxury Orientation | PREMIUM | 2.26 |
| Patriotism | CONSERVATISM | 2.16 |
| Sustainability | BALANCE | 1.61 |
| Extroversion | THRILL | 1.41 |
| Early Adopter Mentality | POWER | 1.38 |
| Risk Appetite | THRILL | 1.36 |
Worldwide distribution
| Country | Share |
|---|---|
| China | 89.9% |
| United States | 2.3% |
| Hong Kong | 1.4% |
See Baidu audiences in other countries
More Search engine audiences in United States
- Google (55,499,168)
- DuckDuckGo (11,900,952)
- Yelp (9,041,783)
- PubMed (3,198,345)
- Naver (1,367,045)
Frequently asked questions
How many fans does Baidu have in United States?
Baidu has an estimated audience of 2,085,119 people in United States, concentrated in California and New York.
What is the gender split and age of Baidu fans?
79.6% of Baidu fans are female, 20.4% are male, with an average age of 41.3 years.
Which brands do Baidu fans like most?
Baidu fans show strongest brand affinity for Taobao (28.28×), Mitú (17.07×), and Michelle Yeoh (28.82×) over the country average.
Where do Baidu fans live in United States?
Baidu fans in United States are most concentrated in California (reach 1,181,583), New York (reach 271,299), and Texas (reach 172,186). These three regions account for the largest share of the active audience.
What other brands do Baidu fans also like?
Beyond Baidu itself, the audience over-indexes on Mitú (17.07×), Michelle Yeoh (28.82×), Priyanka Chopra (22.24×), and Nate Bargatze (12.35×) 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 Baidu. 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.