The Real Estate Data endpoint returns comprehensive housing market statistics for a specified ZIP code, including median home value, median rent, homeownership rate, total housing units, occupied housing units, and vacant housing units.

The key fields in the response data include "zip" (ZIP code), "medianHomeValue" (median home price), "medianRent" (median rental price), "homeownershipRate" (percentage of homeowners), "totalHousingUnits" (total units), "occupiedHousingUnits" (units occupied), and "vacantHousingUnits" (units vacant).

The response data is structured in a JSON format, with each key representing a specific metric related to the housing market for the requested ZIP code. This allows for easy parsing and integration into applications.

The endpoint provides information on home values, rental prices, homeownership rates, and occupancy data, offering a detailed view of the housing market dynamics for the specified ZIP code.

Users can customize their data requests by specifying the desired ZIP code in the API call. This allows them to retrieve housing market statistics tailored to specific geographic areas.

The data is sourced from reliable real estate databases and public records, ensuring that the information reflects current market conditions and trends across various ZIP codes.

Typical use cases include property market analysis, investment evaluations, housing affordability research, and urban development planning, enabling users to make informed decisions based on local market conditions.

Users can utilize the returned data to analyze housing trends, compare different regions, assess investment opportunities, and develop applications that require real estate market insights, enhancing decision-making processes.

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