Sample Credit Union Listings

Explore 10 random Credit Union listings from our dataset. Click on any contact icon for more details or to request your free sample.

Name City State Country Phone Email Website Ratings Reviews
博乐市农村信用合作联社小营盘信... Bortala Mongol Autonomous Prefecture Xinjiang China 🔗 0 0
博乐农村信用合作联社巴扎信用社 Bortala Mongol Autonomous Prefecture Xinjiang China 🔗 0 0
温泉县农村信用合作联社查干屯格... Bortala Mongol Autonomous Prefecture Xinjiang China 🔗 0 0
博乐市农村信用合作联社青得里信... Bortala Mongol Autonomous Prefecture Xinjiang China 🔗 0 0
博乐市农村信用合作联社青得里大... Bortala Mongol Autonomous Prefecture Xinjiang China 🔗 0 0
温泉县农村信用合作联社哈日布呼... Bortala Mongol Autonomous Prefecture Xinjiang China 🔗 0 0
Wenquan Rural Credit Cooperati... Bortala Mongol Autonomous Prefecture Xinjiang China 🔗 0 0
Bazha Credit Cooperatives Bortala Mongol Autonomous Prefecture Xinjiang China 🔗 0 0
Bole Rural Credit Cooperatives... Bortala Mongol Autonomous Prefecture Xinjiang China 🔗 0 0
温泉县农村信用合作联社安格里格... Bortala Mongol Autonomous Prefecture Xinjiang China 🔗 0 0
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Complete Credit Union Dataset Fields Overview

Business Name
Address
Website
Phone
Email (if available)
Rating Count
Review Count
Photo Count
Timezone
Latitude
Longitude
Categories
Price Range
Rating Distribution
Photos
Popular Times
Info
Highlight
Hours
Topics
Owner
URL
Date
Plus Code
Place ID

Credit Unions Data for Cities in Xinjiang

Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.

City Listings Percentage
Aksu Prefecture 44 16.36%
Kashgar Prefecture 42 15.61%
Altay Prefecture 24 8.92%
Tacheng Prefecture 20 7.43%
Bortala Mongol Autonomous Prefecture 18 6.69%
Kizilsu Kyrgyz Autonomous Prefecture 9 3.35%
Changji Hui Autonomous Prefecture 5 1.86%
Xinjiang 4 1.49%
Hami 3 1.12%
Bayingolin Mongol Autonomous Prefecture 2 0.74%

What Data Do We Provide?

Our dataset for Credit unions in Xinjiang is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 269 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 cities – Aksu Prefecture – there are over 44 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.

Location Intelligence & Expansion

Plan openings or rollouts using density maps, ratings, and category insights to target low-competition, high-demand zones.

Mapping & Navigation

Add POI data to your apps for delivery, logistics, or travel using accurate coordinates and business information.

AI & NLP Model Training

Train models with structured data and real user reviews for improved sentiment analysis, NER, and recommendations.

Real Estate & Investment Insights

Evaluate commercial potential and foot traffic by analyzing nearby businesses and activity trends.

Local SEO & Digital Services

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.

Social Media Outreach

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 Xinjiang in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insights—empowering your business decisions.

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