A clean-looking table can still be difficult to use responsibly. Useful property data explains what its records represent and what its fields mean.

Understand the unit of the record.

Is each row a listing, a parcel, a building, or a geographic summary? Check the identifier and the circumstances in which a record can appear more than once. A familiar place name is not a substitute for a defined boundary.

Look for definitions and units.

A data dictionary should explain each field, its type, its units, and any missing-value convention. Distinguish an asking price from a recorded sale price or a statistical estimate.

Read the release notes.

Sources, collection periods, cleaning decisions, limitations, and licensing terms should travel with the download. These details help users decide whether a dataset answers their question.

This website publishes the whole supplied monthly listing release as JSON data files, with a dictionary and source notes. The free preview contains 50 real records. The observed listing status is not a current availability check.