Parcel level data identifying properties that were bought and sold within a specific timeframe.

Provides description, categorization, cost, and status of permitted work on properties. Includes history of permitted work.

Identifies buying and selling trends of iBuyers. Includes historical overview, market trends, property address, lot information, buyers name, seller data, and homeownership detail.

ATTOM’s census boundary data includes various geographies with a large range of sizes, population, and governmental functions. These datasets enable property searches for familiar named areas such as counties, cities, and townships. The included boundaries can be utilized for census boundary map overlays.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Highly accurate noise estimation data based on public sources modeled down to the property level. Includes road, aviation, emergency vehicle, rail and overall noise scores for individual properties (our ATTOM IDs)

The Atlanta Regional Commission (ARC), in collaboration with several internal departments and external contracting, recently published a new tool for assessing housing market dynamics around the metro area. The Metro Atlanta Housing Strategy Toolkit includes a mapping component displaying ten distinct submarkets in the 11-county Atlanta region. The submarkets are defined by identifying similar patterns of demographic and economic factors. The toolkit also features recommendations for possible housing policy strategies by area, such as preserving affordable units, increasing supply, and promoting housing stability.ARC developed the toolkit to equip local governments and civic organizations with (1) data to understand factors impacting barriers to affordable housing and the dynamic forces at play presenting challenges for potential homeowners, and (2) initial strategy options to consider in addressing the barriers and challenges.The submarkets shown in the mapping tool were built up out of Census tracts, by using a supervised learning technique to categorize each tract as urban or suburban based on land use. The research also incorporates home sales data from ATTOM Data Solutions aggregated to the tract level as well as several Census variables. For more detail on the methodology, including a template of the Python notebook used in the analysis, see our GitHub repo.

Home sales data aggregated by boundaries (neighborhood, zip code, city, etc) in increments of month, quarter, or year

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

ATTOM’s school attendance areas data provide a nationwide layer of boundaries that identify the geographic areas served by each regular public school. This product enables potential home buyers to easily identify the school attendance zones that their children would attend.

Addresses of homes seized as drug labs by law enforcement. Includes date of seizure.