List of Women's Clothing Stores in China
There are 1,370 Women's clothing stores in China. A random selection of cities, including Haidian District and Chaoyang , features a substantial number of Women's clothing stores locations— 135 in Haidian District and 128 in Chaoyang . Notably, Haidian District accounts for approximately 9.85% of all Women's clothing stores locations in the China.
Data last updated on June, 2025.
BUY THIS DATASample Business Listings
Explore 10 random sample listings from our dataset. Click on any contact icon for more details or to request your free sample.
| Name | City | State | Country | Phone | Website | Ratings | Reviews | |
|---|---|---|---|---|---|---|---|---|
| 木果果木偃师专卖 | Luoyang | Henan | China | ☎ | ✉ | 🔗 | 0 | 0 |
| EXPRESS | Luoyang | Henan | China | ☎ | ✉ | 🔗 | 0 | 0 |
| Maxmara | Zhengzhou | Henan | China | ☎ | ✉ | 🔗 | 0 | 0 |
| 斯尔丽 | Zhengzhou | Henan | China | ☎ | ✉ | 🔗 | 0 | 0 |
| ONLY | Shijingshan District | Beijing | China | ☎ | ✉ | 🔗 | 0 | 0 |
| WANKO | Shijingshan District | China | ☎ | ✉ | 🔗 | 0 | 0 | |
| VERO MODA | Shijingshan District | China | ☎ | ✉ | 🔗 | 0 | 0 | |
| Motivi | Shijingshan District | China | ☎ | ✉ | 🔗 | 0 | 0 | |
| Earth MuSic & Ecolog... | Xicheng District | Beijing | China | ☎ | ✉ | 🔗 | 0 | 0 |
| Earth Music & Ecolog... | Xicheng District | Beijing | China | ☎ | ✉ | 🔗 | 0 | 0 |
Complete Dataset Fields Overview
Sample States & Cities
Below is a closer look at the regions where these businesses thrive. Discover 10 random states and cities by listing volume.
431 (31%)
Beijing
Beijing contributes about 31% of all listings.
195 (14%)
Shanghai
Shanghai contributes about 14% of all listings.
168 (12%)
Guangdong Province
Guangdong Province contributes about 12% of all listings.
| State | Listings |
|---|---|
| Beijing | 431 (31.46%) |
| Shanghai | 195 (14.23%) |
| Guangdong Province | 168 (12.26%) |
| Fujian | 146 (10.66%) |
| Jiangsu | 40 (2.92%) |
| Henan | 39 (2.85%) |
| Zhejiang | 38 (2.77%) |
| Anhui | 34 (2.48%) |
| Hebei | 17 (1.24%) |
| Sichuan | 15 (1.09%) |
Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.
| City | Listings |
|---|---|
| Haidian District | 135 (9.85%) |
| Chaoyang | 128 (9.34%) |
| Xicheng District | 87 (6.35%) |
| Shenzhen | 79 (5.77%) |
| Xiamen | 60 (4.38%) |
| Guangzhou | 59 (4.31%) |
| Huangpu | 56 (4.09%) |
| Fuzhou | 55 (4.01%) |
| Dongcheng | 51 (3.72%) |
| Pudong | 45 (3.28%) |
What Data Do We Provide?
Our dataset for Women's clothing stores in China is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 1,370 listings. This includes:
- Essential business details (name, address, and operational hours)
- Verified contact information (phone, email, and website)
- Customer engagement metrics (ratings and reviews)
- Precise geolocation data (latitude, longitude, and regional distribution)
- Additional attributes like categories, pricing, and more
For example, our analysis shows that in one of the leading regions – Beijing – there are over 431 listings, indicating a robust and competitive market.
How You Can Use This Data
Poidata' dataset empowers you to reach the right audience through multiple channels. Here are some key ways our data can give you a competitive edge:
- Email Marketing: Utilize our verified email lists to craft personalized campaigns targeting key decision-makers.
- Cold Calling: Access accurate phone numbers to initiate direct conversations, saving time and improving conversion rates.
- Direct Mail: Reach out with physical catalogs or promotional materials using our detailed mailing addresses.
- Social Media Outreach (Optional): Leverage curated lists of social media profiles (Instagram, LinkedIn, Facebook) to engage businesses on platforms where they’re most active.
Integrating these strategies helps ensure that your marketing efforts are both efficient and effective, driving higher engagement and better results.
Need More Details?
Unlock access to the complete dataset of Women's clothing stores in China in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insights—empowering your business decisions.
BUY THIS DATA