How Many Condominium Complexes are in Shanghai, China?
There are 169 Condominium complexes in Shanghai, China. A random selection of cities, including Pudong and Minhang District , features a substantial number of Condominium complexes locationsβ 55 in Pudong and 25 in Minhang District . Notably, Pudong accounts for approximately 32.54% of all Condominium complexes locations in the China.
Data last updated: August, 2025
Sample Condominium Complex Listings
Explore 10 random Condominium Complex listings from our dataset. This sample shows only 10 out of 169 total Condominium complexes available in our complete dataset.
Business Name | City | State | Country | Phone | Website | Rating | Reviews | |
---|---|---|---|---|---|---|---|---|
White Collar Apartment | Minhang District | Shanghai | China | π | βοΈ | π | 0β | 0 |
Chengjia Apartment Hotel | Changning District | Shanghai | China | π | βοΈ | π | 0β | 0 |
Duyuan White Collar Apartment | Minhang District | Shanghai | China | π | βοΈ | π | 0β | 0 |
Leju Apartment | Pudong | Shanghai | China | π | βοΈ | π | 0β | 0 |
Huajiang Season Apartment | Jiading District | Shanghai | China | π | βοΈ | π | 0β | 0 |
Tian Jiao Nian Hua Wht. Collar Apt. | Minhang District | Shanghai | China | π | βοΈ | π | 0β | 0 |
Chengjia Apartment | Minhang District | Shanghai | China | π | βοΈ | π | 0β | 0 |
Sunshine Apartment | Minhang District | Shanghai | China | π | βοΈ | π | 0β | 0 |
Huaji Apartment | Hongkou District | Shanghai | China | π | βοΈ | π | 0β | 0 |
Jiajia Apartment | Pudong | Shanghai | China | π | βοΈ | π | 0β | 0 |
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Complete Condominium Complex Dataset Fields Overview
Our dataset for Condominium Complexes in Shanghai is one of the most comprehensive in the industry. As of August, 2025, we have compiled data on 169 verified listings.
Essential Business Details
Complete business name, full address, and operational hours for all 169 Condominium complexes
Verified Contact Information
Direct phone numbers, email addresses, and website URLs for Condominium complexes across Shanghai
Customer Engagement Metrics
Average ratings, total review counts, and customer feedback data from Condominium complexes in Shanghai
Precise Geolocation Data
Exact latitude/longitude coordinates and regional distribution across 10 cities in Shanghai
Complete Data Fields for Condominium Complexes in Shanghai:
Each of the 169 Condominium complexes records includes:
- Business Name
- Complete Street Address
- Website URL
- Phone Number
- Email Address (if available)
- Customer Rating
- Review Count
- Photo Count
- Business Timezone
- Latitude Coordinates
- Longitude Coordinates
- Business Categories
- Price Range Information
- Rating Distribution
- Business Photos
- Popular Times Data
- Additional Business Info
- Key Business Highlights
- Operating Hours
- Topic Categories
- Owner Information
- Google Maps URL
- Last Updated Date
- Plus Code
- Place ID
Condominium Complexes Data for Cities in Shanghai
Check out the cities with the highest number of listings for a detailed regional breakdown in Shanghai.
City | Listings | Percentage |
---|---|---|
Pudong | 55 | 32.54% |
Minhang District | 25 | 14.79% |
Baoshan | 18 | 10.65% |
Xuhui District | 12 | 7.10% |
Yangpu District | 11 | 6.51% |
Songjiang District | 9 | 5.33% |
Jiading District | 7 | 4.14% |
Huangpu | 5 | 2.96% |
Hongkou District | 3 | 1.78% |
Putuo | 2 | 1.18% |
How You Can Use Condominium Complexes Data from Shanghai
Our comprehensive dataset of 169 Condominium complexes in Shanghai empowers you to reach the right audience through multiple channels. Here are key ways this data can give you a competitive edge in the condominium complex industry.
Market Research & Competitive Analysis
Analyze trends, saturation, and competitor presence across Shanghai to uncover underserved areas and high-potential markets for Condominium complexes.
Lead Generation & Sales Prospecting
Find and reach Condominium complexes in Shanghai using verified phone numbers, websites, and category filters for smarter, targeted prospecting.
Location Intelligence & Expansion Planning
Plan new condominium complex openings or rollouts using density maps and insights from our 169 listings to target low-competition, high-demand zones in Shanghai.
AI & NLP Model Training
Train machine learning models with structured data and real user reviews from 169 Condominium complexes for improved sentiment analysis and recommendation systems.
Real Estate & Investment Insights
Evaluate commercial potential in Shanghai by analyzing the distribution of Condominium complexes across 10 cities and their activity trends.
Email Marketing Campaigns
Run targeted email campaigns to Condominium complexes in Shanghai using verified email addresses for personalized outreach and improved conversion rates.
Cold Calling & Telemarketing
Use up-to-date phone numbers from our 169 Condominium complexes database to initiate effective conversations and improve call conversion rates.
Direct Mail Marketing
Send promotional materials to Condominium complexes across Shanghai using accurate mailing addresses for targeted delivery and higher response rates.
Social Media Outreach
Engage Condominium complexes in Shanghai via Instagram, LinkedIn, or Facebook using curated profile data for multi-channel marketing.
Footfall & Demand Estimation
Estimate local foot traffic and demand by analyzing the concentration of Condominium complexes in specific regions of Shanghai and their popularity metrics.
Local SEO & Digital Services
Optimize marketing strategies for Condominium complexes by studying GMB listings, ratings, and categories used by top-performing competitors in Shanghai.
Mapping & Navigation Integration
Add condominium complex POI data to your apps for delivery, logistics, or travel using accurate coordinates from 169 verified locations in Shanghai.
Ready to Access Complete Condominium Complexes Data from Shanghai?
Unlock the complete dataset of 169 verified Condominium complexes in Shanghai, China available in multiple formats (JSON, CSV, Excel). Our data covers 10 cities with comprehensive business information. Get your free sample today and see the data quality that sets us apart!
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