List of Apartment Complexes in China
There are 902 Apartment complexes in China. A random selection of cities, including Shenzhen and Chaoyang , features a substantial number of Apartment complexes locationsβ 77 in Shenzhen and 42 in Chaoyang . Notably, Shenzhen accounts for approximately 8.54% of all Apartment complexes locations in the China.
Data last updated on June, 2025.
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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 | |
---|---|---|---|---|---|---|---|---|
Ping'an Accommodatio... | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
Yueru International... | Zhengzhou | China | β | β | π | 0 | 0 | |
Yueru International... | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
Holiday Inn Apartmen... | 3ΨΨ | China | β | β | π | 0 | 0 | |
Cube Apartment | Shijingshan District | China | β | β | π | 0 | 0 | |
Yuju Service Apt. Zh... | Haidian District | China | β | β | π | 0 | 0 | |
ε€§ζζΆδ»£δΈεΏ | ζ΅·ζ·εΊ | Beijing | China | β | β | π | 0 | 0 |
Manxin Apartment No.... | Shijingshan District | China | β | β | π | 0 | 0 | |
Dawang Serviced Apar... | Haidian District | China | β | β | π | 0 | 0 | |
ιι εδΈ | Fengtai District | China | β | β | π | 4 | 1 |
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.
184 (20%)
Guangdong Province
Guangdong Province contributes about 20% of all listings.
43 (5%)
Fujian
Fujian contributes about 5% of all listings.
34 (4%)
Shanghai
Shanghai contributes about 4% of all listings.
State | Listings |
---|---|
Guangdong Province | 184 (20.40%) |
Fujian | 43 (4.77%) |
Shanghai | 34 (3.77%) |
Henan | 20 (2.22%) |
Beijing | 19 (2.11%) |
Anhui | 15 (1.66%) |
Hainan | 14 (1.55%) |
Zhejiang | 11 (1.22%) |
Jiangsu | 11 (1.22%) |
Shandong | 7 (0.78%) |
Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.
City | Listings |
---|---|
Shenzhen | 77 (8.54%) |
Chaoyang | 42 (4.66%) |
Huizhou | 40 (4.43%) |
Shenzhen | 33 (3.66%) |
Zhuhai | 27 (2.99%) |
Guangzhou | 26 (2.88%) |
Huizhou | 26 (2.88%) |
Pudong | 25 (2.77%) |
Guangzhou | 21 (2.33%) |
Zhengzhou | 18 (2.00%) |
What Data Do We Provide?
Our dataset for Apartment complexes in China is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 902 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 β Guangdong Province β there are over 184 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 theyβre 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 Apartment complexes in China in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insightsβempowering your business decisions.
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