The Ultimate Guide to Property Data 2021
What is Property Data?
Property data is information on various properties, including intelligence such as how much they cost, the purpose they are intended for, and who owns them. Property data is mostly used by real estate investors in making data-driven decisions on where to invest and what to invest in based on the value inherent to the property according to the property data.
How is Property Data collected?
Property data collection methods are the same as methods used in the collection of real estate data. Property data comes from both commercial and public records. These records can be found on a number of platforms, such as municipal, broker or realtor websites and archives. Property data usually comes in non-digital format and so property datsets are not usually readily-available, at least to the public. Vendors are the most reliable sources, and they collect their data from physical documents, commercial records found online, multiple listing services (databases on broker and agent listed properties), foreclosure reports and home flipping reports.
What are the attributes of Property Data?
Property data attributes are distributed into three main sections. The first is land and ownership data, which focuses on the physical characterics of properties. It also concerns itself with the information of who owns the properties, as well as other individual based information, such as tenure, local authority, and plot density. Second is real estate listing data, which is financial data that enables the understanding of behavior relating to buying, investment and development. Lastly, real estate demographic data relates to the the information on property sellers, as well as location of the properties.
What is Property Data used for?
Property data is a valuable asset and game changer when you’re interested in buying, selling and investing in properties. Such data can help in the prediction of trends, the increment of transparency in the industry, monitoring and communicating in real time, and customized strategy. In summary, the overall performance of the property and real estate industry is improved by the availability of property data. With property data, contact can be made between agents and potential buyers. Business processes can be made even clearer in the industry due to quality property data.
How can a user assess the quality of Property Data?
Quality assessment for property data is best achieved by ensuring that the dataset is accurate. To ensure that the dataset is of good quality, certain steps need to be put into place. These include crosschecks with multiple sources to determine gaps and errors, verification procedures to ensure that the dataset is accurate, and that third parties consider the source to be verifiable and reliable. Address standardization and integrations are also indicators that a property datset is high-quality.
Who are the best Property Data providers?
Finding the right Property Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Property Data providers that you might want to buy Property Data from are BIGDBM, ScaleCampaign, Wult.io, The Data Group, and TovoData.
Where can I buy Property Data?
Data providers and vendors listed on Datarade sell Property Data products and samples. Popular Property Data products and datasets available on our platform are Wult Real Estate, Property & Property Listings Dataset Globally available & constantly updated by Wult.io, GBSN Research | Real Estate Data & Property Data Worldwide by GBSN Research, and BIGDBM Real Residential & Commercial Property Data for USA (Real Estate Data) by BIGDBM.
How can I get Property Data?
You can get Property Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Property Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Property Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Property Data?
Property Data is similar to Construction Project Leads Data, Mortgage Data, Flexible Workspace Data, Real Estate Market Data, and Commercial Real Estate Data. These data categories are commonly used for Property Valuation and Property Data analytics.