The oldest rule in real estate is location, location, location — and location is, at its core, a data problem. Behind every home that gets built and every property that changes hands sits a stack of decisions: where to build, what the land is worth, what it’s zoned for, whether it floods, how it compares to the parcel next door. Every one of those decisions runs on parcel data. And the cost of that data doesn’t disappear — it gets baked into the price of the finished home.

The hidden line item in every new home

When a builder evaluates a site, a lender underwrites a mortgage, or a developer models a subdivision, they buy or license the parcel data that informs the decision. Historically that data came from a handful of incumbent vendors charging enterprise prices — often tens of thousands of dollars per dataset, per year, with per-record fees and restrictive licensing on top. Those costs are real, recurring, and passed straight through. A homebuilder doesn’t absorb the cost of the data they relied on to choose a lot; they price it into the lot. So does the appraiser, the title company, and the county-level analyst. By the time a family signs a mortgage, the cost of the data used to justify building their home is already inside the number.

Lowering the cost at the source

LandRecords was built to attack that cost directly. By harmonizing parcel data from more than 3,200 counties into a single nationwide dataset — with an automated pipeline where an LLM does the heavy lifting of reconciling thousands of county schemas — we deliver the same coverage the incumbents sell, at up to 90% less. Same parcels, same attributes, a fraction of the price.

That isn’t just a better deal for one buyer. When the data underneath a building decision costs 90% less, that saving flows downstream through every party that touches the transaction:

• Homebuilders spend less to site and evaluate new developments — lowering the cost basis of every new home.
• Lenders and appraisers underwrite and value properties with affordable, up-to-date data instead of premium feeds.
• Developers and planners can analyze land, zoning, and flood risk at national scale without a national-scale budget.
• Researchers and startups that couldn’t previously afford parcel data can build on it — expanding the tools available to everyone else.

Cost of living is the sum of a thousand upstream costs most people never see. Housing is the largest of them, and property data sits quietly inside its price. Bringing that data cost down by an order of magnitude won’t fix affordability on its own — but it removes one of the many toll booths between a builder’s decision and a family’s front door.

Location is still everything — it just shouldn’t cost a fortune to know it

Good decisions about land require good data about land. We think that data should be a commodity, not a luxury. Browse the US Nationwide Parcel Dataset, try a free property search from our homepage, or reach out at hello@landrecords.us to see what a 90% lower data bill looks like for your business — and for the people you serve.