List of Financial Institutions in China
There are 7,240 Financial institutions in China. A random selection of cities, including Shenzhen and Chaoyang , features a substantial number of Financial institutions locationsโ 937 in Shenzhen and 346 in Chaoyang . Notably, Shenzhen accounts for approximately 12.94% of all Financial institutions 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 | |
---|---|---|---|---|---|---|---|---|
Zhongyin Internation... | Pudong | Shanghai | China | โ | โ | ๐ | 0 | 0 |
Yinhua Fund Manageme... | Dongcheng | Beijing | China | โ | โ | ๐ | 0 | 0 |
Hua'an Fund Manageme... | Pudong | Shanghai | China | โ | โ | ๐ | 0 | 0 |
ALSTOM ๏ผChina๏ผ Inv... | Chaoyang | Beijing | China | โ | โ | ๐ | 0 | 0 |
Tianhong Asset Manag... | Hexi District, Tianjin | Tianjin | China | โ | โ | ๐ | 0 | 0 |
Dengfeng Bo'ao Inves... | Zhengzhou | Henan | China | โ | โ | ๐ | 0 | 0 |
Jintong Investment C... | Zhengzhou | Henan | China | โ | โ | ๐ | 0 | 0 |
Zhongtou Securities | Zhengzhou | Henan | China | โ | โ | ๐ | 0 | 0 |
Dengfeng Rongtong Xi... | Zhengzhou | Henan | China | โ | โ | ๐ | 0 | 0 |
Jinzhi ๏ผHenan๏ผ Inv... | Zhengzhou | Henan | China | โ | โ | ๐ | 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.
1,793 (25%)
Guangdong Province
Guangdong Province contributes about 25% of all listings.
1,122 (15%)
Beijing
Beijing contributes about 15% of all listings.
634 (9%)
Anhui
Anhui contributes about 9% of all listings.
State | Listings |
---|---|
Guangdong Province | 1,793 (24.77%) |
Beijing | 1,122 (15.50%) |
Anhui | 634 (8.76%) |
Fujian | 605 (8.36%) |
Shanghai | 486 (6.71%) |
Henan | 482 (6.66%) |
Liaoning | 230 (3.18%) |
Jiangsu | 224 (3.09%) |
Heilongjiang | 210 (2.90%) |
Jilin | 195 (2.69%) |
Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.
City | Listings |
---|---|
Shenzhen | 937 (12.94%) |
Chaoyang | 346 (4.78%) |
Zhuhai | 256 (3.54%) |
Zhengzhou | 204 (2.82%) |
Guangzhou | 200 (2.76%) |
Xicheng District | 166 (2.29%) |
Hefei | 165 (2.28%) |
Dongguan | 159 (2.20%) |
Fuzhou | 155 (2.14%) |
Pudong | 147 (2.03%) |
What Data Do We Provide?
Our dataset for Financial institutions in China is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 7,240 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 โ Guangdong Province โ there are over 1,793 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 theyโre 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 Financial institutions in China in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insightsโempowering your business decisions.
BUY THIS DATA