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Housing Datasets

Best Housing Datasets for Market Research

Housing datasets refer to a collection of structured information related to various aspects of the housing market. These datasets typically include data points such as property prices, rental rates, property characteristics, housing supply and demand, housing market trends, and demographic information. Housing datasets are valuable for real estate professionals, investors, urban planners, and researchers seeking to gain insights into the housing market, make informed decisions, and develop data-driven strategies. By analyzing these datasets, users can understand market dynamics, identify investment opportunities, assess property values, and evaluate the impact of various factors on the housing market.

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Recommended Housing Datasets

1-10 of 525 product results for "housing datasets"
Start icon4.9(5)

Bright Data | Real Estate Price Data | Custom Dataset of House and Real Estate Pricing, Web-Scraped - Available at scale for any use case
by Bright Data
Real estate dataset includes data points of houses, and apartments, encompassing all the data you need ... Popular use cases: forecast housing demand, analyze price fluctuations, improve customer satisfaction
97% Success rate in real-time
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview

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Start icon5.0(2)

Grepsr | Point of Interest (POI Data), Geospatial, Review, Rating, Business Opening Hours| Global Coverage with Custom and On demand datasets
by Grepsr
Usecase/Applications possible with the data: Market Analysis: POI data can be used to understand the ... Mapping and GIS: POI data can be used to create maps and analyze spatial data, such as showing the distribution
140 Different attributes/columns
100% Match Rate
Starts at
$249 / purchase
Free sample preview
10% Datarade discount
Start icon4.3(1)

Company Datasets of 900K companies in Denmark
by BoldData
With over 900 thousand businesses, all held in-house, BoldData has the largest supply of Denmark data ... Our data experts are specialized in supervising international campaigns.
902K Companies
4 years of historical data
99% Registered companies
Starts at
€425 / purchase
Start icon4.3(1)

Company Datasets of 800K companies in Chile
by BoldData
With over 800 thousand businesses, all held in-house, BoldData has the largest supply of Chile data. ... Our data experts are specialized in supervising international campaigns.
830K Companies
4 years of historical data
99% Registered companies
Starts at
€425 / purchase
Start icon4.3(1)

Company datasets of 31M companies in China
by BoldData
With over 30 million businesses, all held in-house, BoldData has the largest supply of Chinese data. ... Our data experts are specialized in supervising international campaigns.
31M companies
4 years of historical data
99% Registered companies
Starts at
€0.25 / Record

Categories related to housing datasets

Real Estate DataB2B Marketing DataReal Estate Market DataReal Estate Valuation DataReal-Time Stock Market DataConsumer Marketing DataCommercial Real Estate DataB2B Data

Use cases related to housing datasets

Market IntelligenceHR IntelligenceBusiness Intelligence (BI)Artificial Intelligence (AI)AdvertisingProspectingB2C Data Enrichment

What are housing datasets?

Housing datasets refer to a collection of structured information related to various aspects of the housing market. These datasets typically include data points such as property prices, rental rates, property characteristics, housing supply and demand, housing market trends, and demographic information.

Who can benefit from housing datasets?

Housing datasets are valuable for real estate professionals, investors, urban planners, and researchers seeking to gain insights into the housing market, make informed decisions, and develop data-driven strategies.

What insights can be gained from analyzing housing datasets?

By analyzing housing datasets, users can understand market dynamics, identify investment opportunities, assess property values, and evaluate the impact of various factors on the housing market.

How can housing datasets be used by real estate professionals?

Real estate professionals can use housing datasets to analyze market trends, identify potential buyers or sellers, determine property values, and make informed decisions about buying or selling properties.

How can investors utilize housing datasets?

Investors can utilize housing datasets to identify profitable investment opportunities, assess market risks, analyze rental yields, and make informed decisions about buying or selling properties.

How can urban planners benefit from housing datasets?

Urban planners can use housing datasets to understand housing supply and demand, identify areas for development or improvement, assess the impact of housing policies, and make informed decisions about urban planning initiatives.