Property data offers both depth and breadth of insight into commercial and residential properties throughout the U.S. It is essential for helping professionals across industries act on market information, make strategic data-informed decisions, identify and assess risk more effectively, and make more accurate predictions.
What types of property data can be used for real estate analysis?
A range of property data can be used to support real estate analysis. Here are some of the main types of data you can use:
1. Property characteristics
Property characteristics provide detailed insights on a property’s main characteristics. It typically includes details such as the number of bedrooms and bathrooms, stories, lot details, fire resistance, sewer & electrical, square footage, construction materials used for both the house exterior and interior, whether the property includes a porch or balcony, and heating and cooling systems.
2. Assessor and tax
This data provides publicly-available tax and assessor information that has been collected by county tax assessor offices. It is typically packaged in specialized reports that reflect the geography of different properties.
This data typically covers: property identification (like a FIPS code and Assessor’s Parcel Number), a property address, ownership details (such as owner name or whether a property is owned by an individual, trust, or company), a property’s legal description, information on values and taxes, and property characteristics.
3. Geocodes
Geocodes are a set of coordinates, typically covering both latitude and longitude, that represent a specific physical location. Geocodes can be used to support a number of tasks such as property valuation, spatial analysis, to assess risk by factoring in information on flood zones and local crime.
4. Building permit data
Building permit data is a great source of deeper look into a property — documenting the main work a property has had done to it. It can give you insights into values, property risk, market trends, and potential investment opportunities.
It typically covers: classification of permit type (i.e., solar or roofing, etc.), permit status, the cost of a job, job description, and contractor information.
5. Neighborhood data
While not specifically property data, neighborhood data can provide insights into factors like investment value or property desirability — making it a great complement for property data to help provide a holistic view of a property and its potential value.
Neighborhood data provides key information on a local area including details on local attractions and points of interest (such as local hospitality venues, retail, and emergency services), demographics, crime, weather, transportation noise, and unemployment levels.
How can investors use property data to improve strategies?
Granular property data can help improve investment strategies, giving institutional investors greater confidence in their investment decisions.
Granular property data can provide both insights into specific properties and neighborhoods as well as wider market trends, allowing investors to better assess and potentially minimize risk, analyze local demographics, and identify potentially promising investments. For example, foreclosure data can identify potentially lucrative opportunities and highlight areas that are showing growth.
What are the advantages of using a property database?
A property database offers a number of benefits — offering detailed insights into properties across the U.S as well as a look at wider market trends. As a centralized tool, a property database can house all your property data, giving you a single-point of access to extensive property information — from ownership details to property characteristics.
It can also support data analysis, allowing you to gain deep insights into properties throughout the U.S. You can use a database to uncover huge amounts of data and gain a look into emerging trends, local communities and economies, risk profiles, and investment opportunities.
Such databases are essential in helping to support data-driven, strategic insight generation and decision making for professionals across the sectors including real estate, marketing, government, insurance, and marketing.
The best providers offer exhaustive datasets and insights and flexible delivery solutions. ATTOM’s 30TB ATTOM data warehouse covers 99% of the nation’s population. It is multi-sourced from over 3,000 U.S. counties. It includes 70 billion rows of transactional-level data and over 9,000 discrete data attributes.
While ATTOM’s clients can choose from several data delivery options to access their comprehensive property data including cloud delivery, API, property reports, and bulk data licensing.
What specific property data attributes does ATTOM provide?
ATTOM provides one of the most extensive collections of property data currently on the market, covering over 158 million residential and commercial properties throughout the U.S.
They provide real estate data on:
- Interior and exterior property characteristics: this data covers all the essential internal and external property characteristics such as construction material, lot width and depth, square footage, and type of heating and cooling system.
- Assessor tax data: this explores public information collected by county tax assessor offices. From address to values and taxes, this covers over 158 million properties in more than 3,000 counties nationwide.
- Ownership information: this covers all relevant property owner data, including details on whether a property is owned by an individual, a couple, multiple people, partners or a company.
- Transactions and mortgage details: ATTOM currently provides information that includes recorder deeds, mortgage loans, property sales price, and estimated sales price. It typically covers owner names, vesting details, residential occupancy, exemptions (such as disabled or veteran), and tax mailing address.
- Foreclosure information: they offer detailed foreclosure data including up-to-date nationwide pre-foreclosure and foreclosure records and details that is currently the largest footprint of any property data provider.
- These include default notices (like Notice of Default and Lis Pendens), public foreclosure auctions (Notice of Trustee’s Sale and Notice of Foreclosure Sale), and bank real estate owned completed foreclosures.
- Neighborhood and school information: ATTOM’s neighborhood and school information covers a range of data that provides a deep look into local areas surrounding specific properties — including points of interests, school (including grade span, teaching staff, class statistics, class size), crime, weather, and unemployment rates.
- Climate change risk data: this data explores both current and estimated future risk ratings for major climate hazards, such as wildfire, flood, heat, storm, and drought. These ratings are current and calculated up to 2050.
- Hazard: hazard data offers insights into both man-made and natural hazards including hurricanes, earthquakes, and clandestine drug labs.
Can ATTOM’s property data be integrated with existing real estate platforms?
Yes, ATTOM property data was designed to be integrated with existing platforms and can be accessed via streamlined solutions such as APIs, bulk data delivery and ATTOM Nexus.
Summary:
Property data is essential for supporting professionals across a range of industries from real estate agents and institutional investors to government officials. Property data provides both in-depth insights into a range of commercial and residential properties as well as a look at wider market trends. This data allows professionals to undertake analysis, helping to assess risk, and uncover investment opportunities
Property data such as foreclosure, tax assessor, ownership, and property characteristics alongside hazard and neighborhood data can provide a multi-layered view of properties and the market.
As a leading property data provider in the U.S., ATTOM offers access to data on over 158 million properties in the US as well as flexible, robust delivery solutions that make it easy to integrate their data with your existing platforms including purpose-built APIs.
