List of Children's Clothing Stores in China
There are 520 Children's clothing stores in China. A random selection of cities, including Fuzhou and Haidian District , features a substantial number of Children's clothing stores locations— 55 in Fuzhou and 44 in Haidian District . Notably, Fuzhou accounts for approximately 10.58% of all Children'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 | |
|---|---|---|---|---|---|---|---|---|
| Balabala | Zhengzhou | Henan | China | ☎ | ✉ | 🔗 | 0 | 0 |
| 小猪班纳 | Zhengzhou | Henan | China | ☎ | ✉ | 🔗 | 0 | 0 |
| 巴拉巴拉 | Luoyang | Henan | China | ☎ | ✉ | 🔗 | 0 | 0 |
| 杰米熊 | Luoyang | Henan | China | ☎ | ✉ | 🔗 | 0 | 0 |
| 巴拉巴拉 | Zhengzhou | Henan | China | ☎ | ✉ | 🔗 | 0 | 0 |
| 安奈儿 | Zhengzhou | Henan | China | ☎ | ✉ | 🔗 | 0 | 0 |
| Balabala | Luoyang | Henan | China | ☎ | ✉ | 🔗 | 0 | 0 |
| 巴拉巴拉 | Jiaozuo | Henan | China | ☎ | ✉ | 🔗 | 0 | 0 |
| 迪士尼英语 | Shijingshan District | Beijing | China | ☎ | ✉ | 🔗 | 0 | 0 |
| Disney | Shijingshan District | 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.
133 (26%)
Fujian
Fujian contributes about 26% of all listings.
121 (23%)
Beijing
Beijing contributes about 23% of all listings.
51 (10%)
Guangdong Province
Guangdong Province contributes about 10% of all listings.
| State | Listings |
|---|---|
| Fujian | 133 (25.58%) |
| Beijing | 121 (23.27%) |
| Guangdong Province | 51 (9.81%) |
| Shanghai | 47 (9.04%) |
| Henan | 24 (4.62%) |
| Jiangsu | 14 (2.69%) |
| Anhui | 8 (1.54%) |
| Xinjiang | 7 (1.35%) |
Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.
| City | Listings |
|---|---|
| Fuzhou | 55 (10.58%) |
| Haidian District | 44 (8.46%) |
| Xiamen | 42 (8.08%) |
| Chaoyang | 34 (6.54%) |
| Shenzhen | 26 (5.00%) |
| Quanzhou | 25 (4.81%) |
| Xicheng District | 20 (3.85%) |
| Xicheng District | 20 (3.85%) |
| Haidian District | 19 (3.65%) |
| Chaoyang | 12 (2.31%) |
What Data Do We Provide?
Our dataset for Children's clothing stores in China is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 520 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 – Fujian – there are over 133 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 Children'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