How Many Credit Unions are in China?
There are 11,723 Credit unions in China. A random selection of cities, including Dongguan and Zhengzhou , features a substantial number of Credit unions locationsβ 823 in Dongguan and 489 in Zhengzhou . Notably, Dongguan accounts for approximately 7.02% of all Credit unions locations in the China.
Data last updated on June, 2025.
BUY THIS DATASample Credit Union Listings
Explore 10 random Credit Union listings from our dataset. Click on any contact icon for more details or to order the complete dataset.
| Name | City | State | Country | Phone | Website | Ratings | Reviews | |
|---|---|---|---|---|---|---|---|---|
| Jiuzhaigou Scenic Area Rural C... | Ngawa Tibetan and Qiang Autonomous Prefecture | Sichuan | China | β | β | π | 0 | 0 |
| Dengfeng Rural Credit Cooperat... | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
| Dengfeng Rural Credit Cooperat... | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
| εζδΏ‘η¨η€Ύεε εη€Ύ | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
| η³ιδΉ‘εζδΏ‘η¨η€Ύ | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
| Dengfeng Rural Credit Union Bu... | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
| Dengfeng Rural Credit Cooperat... | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
| εΈεΊδΏ‘η¨η€Ύ | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
| εζδΏ‘η¨η€Ύιθ‘εε¨θζ | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
| εζδΏ‘η¨η€ΎεΈεΊε¨θζ | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
Complete Credit Union Dataset Fields Overview
Credit Unions Data for States & Cities in China
Below is a closer look at the regions where these businesses thrive. Discover 10 random states and cities by listing volume.
2,717 (23%)
Guangdong Province
Guangdong Province contributes about 23% of all listings.
1,867 (16%)
Anhui
Anhui contributes about 16% of all listings.
1,489 (13%)
Henan
Henan contributes about 13% of all listings.
| State | Listings |
|---|---|
| Guangdong Province | 2,717 (23.18%) |
| Anhui | 1,867 (15.93%) |
| Henan | 1,489 (12.70%) |
| Fujian | 1,066 (9.09%) |
| Jilin | 721 (6.15%) |
| Yunnan | 494 (4.21%) |
| Heilongjiang | 474 (4.04%) |
| Guangxi | 466 (3.98%) |
| Liaoning | 458 (3.91%) |
| Hebei | 392 (3.34%) |
Check out the 10 random cities with the highest number of Credit Unions listings for a detailed regional breakdown.
| City | Listings |
|---|---|
| Dongguan | 823 (7.02%) |
| Zhengzhou | 489 (4.17%) |
| Zhongshan | 446 (3.80%) |
| Luoyang | 319 (2.72%) |
| Guangzhou | 311 (2.65%) |
| Xuzhou | 291 (2.48%) |
| Fuzhou | 255 (2.18%) |
| Pingdingshan | 246 (2.10%) |
| Yanbian Korean Autonomous Prefecture | 240 (2.05%) |
| Shenzhen | 239 (2.04%) |
What Data Do We Provide?
Our dataset for Credit unions in China is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 11,723 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 2,717 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:
Market Research & Competitive Analysis
Analyze trends, saturation, and competitor presence by region to uncover underserved areas and high-potential markets.
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Train models with structured data and real user reviews for improved sentiment analysis, NER, and recommendations.
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Evaluate commercial potential and foot traffic by analyzing nearby businesses and activity trends.
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Optimize marketing by studying GMB listings, ratings, and categories used by top-performing competitors.
Lead Generation & Sales
Find and reach businesses using phone numbers, websites, and category filters for smarter prospecting.
Email Marketing
Run campaigns with verified emails of decision-makers for personalized outreach at scale.
Cold Calling
Use up-to-date phone numbers to initiate effective conversations and improve call conversions.
Direct Mail Campaigns
Send promotional materials or catalogs using accurate mailing addresses for targeted delivery.
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Engage businesses via Instagram, LinkedIn, or Facebook using curated profile data (optional).
Footfall & Demand Estimation
Estimate local foot traffic by analyzing the concentration and type of nearby businesses and their popularity.
Integrating these strategies can significantly boost your marketing efficiency, lead quality, and business insights.
Need More Details?
Unlock access to the complete dataset of Credit unions 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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