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Records on 112 million U.S. residential properties
What is Cotality?
Cotality is the new name for CoreLogic, one of the largest real estate and property data providers in the United States. The company maintains parcel level records on more than 112 million U.S. residential properties, sourced and standardized from county assessor offices, recorder offices, and a network of public and proprietary inputs. The data has been a backbone of academic real estate finance and housing research for decades under the CoreLogic name.
What academic researchers should know about Cotality real estate data
On Dewey, Cotality’s data follows the full life of a U.S. home: the property itself, the deeds that move it between owners, the mortgages recorded against it, and how loans perform over time. Coverage reaches more than 112 million residential parcels nationwide, with some mortgage histories going back up to 50 years. The records are built from county assessor and recorder offices and a consortium of mortgage servicers, then standardized so that properties, transactions, and loans link to one another through common identifiers. Observation levels vary from the parcel to the recorded transaction to the loan by month, and update timing follows each source’s filing cadence. The data supports joins to ZIP code, census tract, and block group geographies.
Why academic researchers choose Cotality on Dewey
Cotality has been a standard real estate data source in published academic work for years under its previous name, CoreLogic, particularly in housing finance, urban economics, and the macroeconomics of household debt. The combination of nationwide parcel coverage, deep transaction history, and structural attributes in one file is rare, and it is the reason CoreLogic data shows up in major papers on the housing crisis, mortgage modification, and house price dynamics. Pairing Cotality with ClimateCheck for climate risk ratings, RentHub for rental listings, BrightQuery for firm financials, or SafeGraph for neighborhood foot traffic gives researchers a way to study residential property markets in the context of climate exposure, rental dynamics, employer activity, and neighborhood change.
Cotality academic research ideas and use cases
Housing markets and price dynamics. Combine Property Data with Owner Transfer to trace sale prices and ownership changes across multiple market cycles, for individual properties or whole regions.
Mortgage credit and household finance. LLMA follows first lien loans from origination through delinquency, foreclosure, forbearance, and inferred modification. That makes it a natural fit for studies of default, early payment default, and borrower relief.
Lenders and mortgage origination. US Mortgage Transaction Data supports work on origination volume, lender activity, and homeowner mortgage status, one recorded transaction at a time. NMLS matching helps link lender behavior across markets.
Investors, cash buyers, and who owns housing. Owner Transfer flags cash, investor, interfamily, new construction, short sale, and foreclosure or REO sales. Researchers can use it to study institutional buyers, resale patterns, and neighborhood change.
Climate risk and property exposure. Join parcels to flood zones, wildfire perimeters, and hazard ratings to study insurance, property values after disasters, and how climate risk gets priced. Hedonic models, repeat sales indices, and urban form analysis fit here too.
Dive deeper with Dewey documentation
Detailed information on onboarding with Dewey, data partner details, and technical documentation on data access.
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