ATTOM review: property data sold as a file, not a platform
By Jan Suski, six years working in digital. How the scoring works.
This review is in progress: a fuller pass with customer quotes and screenshots is still to come, but the facts below are sourced and checked against ATTOM's own pages.
Best for
Engineering and data teams building a product on top of property data, who want attribute breadth and delivery straight into a warehouse.
Not for
Lenders who want valuation models and hazard scoring delivered ready to use, or commercial brokers, since commercial coverage is thin against CoStar.
What it costs
No published rate card. Quotes are built on attribute set and volume, and narrow selections price well below full-file access.
- Property records
- 155 million to 160M+ US properties, depending on which ATTOM page you read
- Attributes per property
- Over 9,000 discrete data attributes
- Transactional depth
- More than 70 billion rows
- County coverage
- More than 3,000 US counties, 99% of the population
- Warehouse delivery
- Native Snowflake and Databricks shares
- API
- Property Data API
- Bulk delivery
- Flat file and bulk file licensing
- AI access
- An MCP server for agent workloads
- Analytics layer
- None; ATTOM ships records and leaves modeling to the buyer
Company
- Compliance
- Published GDPR and CCPA documentation
- Ownership
- Lovell Minnick Partners, since January 2019, terms undisclosed
- Any plan
- No published rate card; quoted by attribute set and volume, contact sales
- Narrow attribute set
- Prices well below full-file access
- Full file
- The whole 9,000-attribute inventory
- Evaluation
- Free data samples available before commitment
Which ATTOM figures are the company's own numbers, and where they disagree
The 70-billion-row, 9,000-attribute and 3,000-county figures come from ATTOM's own data page (attomdata.com/data). Its homepage claims 160M+ properties; its property-reports FAQ says over 155 million; neither page carries the 158M figure this site's ranking once used. ATTOM publishes no rate card, so every price cited here is "quoted," not fixed. Checked 16 August 2026.
ATTOM sells the county record layer that most real estate products are built on top of: assessor files, recorded deeds, tax rolls, foreclosure filings and neighborhood boundaries, normalized across more than 3,000 counties and handed over as a file. There's no dashboard to log into.
The numbers ATTOM publishes are large and slightly inconsistent. Its data page claims more than 70 billion rows of transactional-level data across over 9,000 discrete attributes, covering 99 percent of the nation's population. Its homepage says 160M+ properties. Its property-reports FAQ says over 155 million. Same company, three pages, two different property counts.
This review covers what ATTOM delivers, how the data reaches a warehouse, what the missing analytics layer costs a buyer, and who should look at Cotality or CoStar instead.
↑ FACT SHEETWhat ATTOM Delivers, and How It Arrives
Delivery is the part worth paying for. ATTOM publishes cloud-native Snowflake and Databricks shares alongside a Property Data API, bulk file licensing and an MCP server for agent workloads, which means a data team consumes the file where it already works. CoStar's terms of use forbid storing, copying or exporting any portion of the product into another database.
The attribute inventory is the second half. Over 9,000 discrete attributes covers property characteristics, sale and tax history, foreclosure and distress indicators, boundaries, demographics and school data, plus recorded document images. Most buyers use a fraction of it, and ATTOM prices narrow attribute selections well below full-file access.
What ATTOM doesn't ship is interpretation. There's no automated valuation model, no hazard score, no risk product. A team without an engineer to model the file gets a large CSV and a problem.
↑ FACT SHEETWhat It Costs, and the Coverage Claim Worth Checking
ATTOM publishes no rate card. The data page routes to sales, and quotes are built on attribute set and volume, so the cost of a distress-indicator feed for eleven counties looks nothing like the cost of the national file. Data samples are available before commitment, which is the cheapest way to test the only number that matters: fill rate on the fields a buyer uses, in the counties that buyer buys in.
The headline coverage claim needs one check. ATTOM's homepage carries 160M+ properties and its FAQ carries over 155 million, a five-million-property gap between two pages on the same site. Ask which figure the contract covers before signing, since neither number says if the ownership field is populated for the markets that matter to a given buyer.
ATTOM fits engineering teams building a product on property data who want breadth of attributes and delivery into their own stack. It doesn't fit a lender who wants valuation models and hazard scoring delivered ready to use: that buyer wants Cotality. It doesn't fit a commercial broker either, since commercial coverage is thin against CoStar.
It might suit an analytics team inside a larger firm, with the caveat that somebody owns the modeling work and somebody checks fill rate on a sample first.