Sample Housing Complex Listings

Explore 10 random Housing Complex 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
Pines Village Retirement Commu... Valparaiso Indiana United States 🔗 4.8 36
Turnberry at Berkshire Newburgh Indiana United States 🔗 0 0
Olivia Andriessen Munster Indiana United States 🔗 0 0
The Manning Apartment Homes Indianápolis Indiana United States 🔗 3.3 46
Chris’s place Dyer Indiana United States 🔗 0 0
Allen Compound Valparaiso Indiana United States 🔗 0 0
crossig road trallr park Merrillville Indiana United States 🔗 0 0
Eagle Creek Hobart Indiana United States 🔗 4.5 4
Real Silk Lofts Indianápolis Indiana United States 🔗 3.7 12
The Block Indianápolis Indiana United States 🔗 3.9 91
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Complete Housing Complex 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

Housing Complexes Data for Cities in Indiana

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

City Listings Percentage
Indianápolis 57 13.35%
Evansville 24 5.62%
Noblesville 19 4.45%
Fishers 9 2.11%
Elkhart 8 1.87%
Terre Haute 7 1.64%
Greenwood 7 1.64%
Plainfield 7 1.64%
Brazil 6 1.41%
Valparaiso 6 1.41%

What Data Do We Provide?

Our dataset for Housing complexes in Indiana is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 427 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 – Indianápolis – there are over 57 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 Housing complexes in Indiana 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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