AliExpress has an estimated audience of 12.6M people in United States.
The average AliExpress fan in United States is 37.0 years old, more female, and lives primarily in California.
By number of fans, AliExpress ranks #11 among the 87 objects in Fashion in United States — 96.6× the group median.
Its fans are 1.7 years older than the group average of 35.3.
Women make up 56.5% of the fan base, 12.0 percentage points fewer than the group average.
Compared with the other 86 objects in Fashion, AliExpress fans stand out for their interest in Taobao, Lazada and Drop shipping.
Most fans live in California, Florida, New York.
Top affinities include Taobao, Lazada, Drop shipping, with strongest over-indexing on Taobao (14.97× the country average).
Demographically, the AliExpress audience skews more female with an average age of 37.0, and over-indexes on personality traits such as Price Sensitivity, Quality Awareness.
The typical AliExpress fan in United States is more female, around 37.0 years old, with strong Price Sensitivity tendencies and a notable affinity for Taobao.
56.5% are female, 43.5% are male, average age 37.0.
| Metric | Value |
|---|---|
| Female | 56.5% |
| Male | 43.5% |
| Average age | 37.0 |
| Estimated audience size | 12.6M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 28% | |
| 25-34 | 19% | |
| 35-44 | 18% | |
| 45-54 | 18% | |
| 55+ | 16% |
of the worldwide AliExpress audience comes from United States.
| Country | Share |
|---|---|
| Brazil | 7.6% |
| Italy | 7.5% |
| United States | 7.1% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | New York | ~1M | 1.45× | |
| 02 | Florida | ~1M | 1.41× | |
| 03 | Mississippi | ~200K | 1.39× | |
| 04 | California | ~2M | 1.35× | |
| 05 | New Jersey | ~400K | 1.28× | |
| 06 | Louisiana | ~200K | 1.27× | |
| 07 | Georgia | ~500K | 1.25× | |
| 08 | Maryland | ~300K | 1.17× | |
| 09 | Alabama | ~200K | 1.17× | |
| 10 | Washington | ~300K | 1.15× | |
| 11 | Texas | ~1M | 1.14× | |
| 12 | Hawaii | ~60K | 1.12× | |
| 13 | Nevada | ~100K | 1.11× | |
| 14 | Utah | ~100K | 1.10× | |
| 15 | Arkansas | ~100K | 1.09× | |
| 16 | Virginia | ~300K | 1.07× | |
| 17 | Illinois | ~500K | 1.05× | |
| 18 | Tennessee | ~300K | 1.05× | |
| 19 | South Carolina | ~200K | 1.05× | |
| 20 | Kentucky | ~200K | 1.04× | |
| 21 | North Carolina | ~400K | 1.03× | |
| 22 | Oregon | ~200K | 1.03× | |
| 23 | West Virginia | ~70K | 1.02× | |
| 24 | Michigan | ~400K | 1.01× | |
| 25 | Connecticut | ~100K | 1.01× | |
| 26 | Washington, District of Columbia | ~30K | 1.00× | |
| 27 | Arizona | ~300K | 0.97× | |
| 28 | Missouri | ~200K | 0.97× | |
| 29 | Oklahoma | ~100K | 0.97× | |
| 30 | Pennsylvania | ~500K | 0.95× | |
| 31 | Massachusetts | ~300K | 0.95× | |
| 32 | Idaho | ~60K | 0.94× | |
| 33 | Ohio | ~400K | 0.92× | |
| 34 | Indiana | ~200K | 0.92× | |
| 35 | Delaware | ~30K | 0.91× | |
| 36 | Kansas | ~100K | 0.90× | |
| 37 | Rhode Island | ~40K | 0.89× | |
| 38 | Minnesota | ~200K | 0.87× | |
| 39 | Colorado | ~200K | 0.86× | |
| 40 | New Mexico | ~70K | 0.86× | |
| 41 | Wisconsin | ~200K | 0.85× | |
| 42 | Iowa | ~100K | 0.81× | |
| 43 | New Hampshire | ~40K | 0.81× | |
| 44 | North Dakota | ~20K | 0.80× | |
| 45 | Alaska | ~20K | 0.79× | |
| 46 | Nebraska | ~60K | 0.77× | |
| 47 | Maine | ~40K | 0.77× | |
| 48 | South Dakota | ~30K | 0.76× | |
| 49 | Montana | ~30K | 0.70× | |
| 50 | Vermont | ~20K | 0.69× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Taobao | Shopping | 14.97× | ||
| 02 | Lazada | Fashion & Accessoires | 5.48× | ||
| 03 | Drop shipping | Shopping | 5.15× | ||
| 04 | Supply chain management | Business & Career | 5.11× | ||
| 05 | Princess Polly | Fashion & Accessoires | 4.48× | ||
| 06 | Very (online retailer) | Website / Newspaper / Magazine | 3.95× | ||
| 07 | Hong Kong | Travel & Leisure | 3.39× | ||
| 08 | Business-to-business | Business & Career | 3.07× | ||
| 09 | Taiwan | Travel & Leisure | 2.61× | ||
| 10 | Zara Larsson | Music & Radio | 2.47× | ||
| 11 | Mercari | Shopping | 2.31× | ||
| 12 | Coach | Fashion & Accessoires | 2.20× | ||
| 13 | Deal of the day | Shopping | 2.19× | ||
| 14 | Poshmark | Shopping | 2.02× | ||
| 15 | Aritzia | Fashion & Accessoires | 1.85× | ||
| 16 | Consumer | Business & Career | 1.73× | ||
| 17 | Quinceañera (telenovela) | Movies & TV | 1.68× | ||
| 18 | Bad Bunny | Music & Radio | 1.67× | ||
| 19 | Burlington | Fashion & Accessoires | 1.63× | ||
| 20 | Credit Karma | Business & Career | 1.56× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Price Sensitivity | PREMIUM | 1.12× | |
| Quality Awareness | PREMIUM | 1.04× | |
| Tradition | CONSERVATISM | 1.03× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Risk Appetite | THRILL | 0.61× | |
| Sports Activity | POWER | 0.65× | |
| Community Orientation | OPEN | 0.67× |
Cite as: “Rascasse Solution, Q2/2026, rascasse.com/explore/us/aliexpress-22077” · Methodology