Database

AptData is an Internet-based, interactive data warehouse that contains the most reliable, current information of its kind on the performance of apartment industry assets.  No other service provided access to amount of actual loan and property performance data provided by the industry.

Shortly after its initial launch, AptData contained information from over 400 organizations and on more apartment assets than any other source — over 25,000 units representing more than 30% of America’s multifamily properties with 50 or more housing units. The Institute is the trustee of the data. We protect the confidentiality of information on individual assets while providing aggregated statistics to the industry under a patented process.

The performance information comes directly from Institute members and almost 400 organizations who upload or submit their property and loan data to AptData on a regular basis. Users are able to do a variety of searches for research and decision-making — slicing and dicing the data geographically, by property type, by rent or value, by age and other dimensions.

While the data was normally provided on a quarterly basis, AptData is structured to collect real-time information on rents, occupancy rates, operating expenses and revenues, mortgage performance and many other categories — more than 200 standardized data fields on each asset.

AptData greatly improves upon today’s tools for measuring apartment performance throughout the United States.

  • At a practical level, it helps multifamily investors, lenders, managers and policy makers work smarter and more efficiently to make better investment, lending, operating, and legislative decisions.
  • Industry wide usage of AptData vastly increased market transparency, leading to better business decision-making and more liquid, sustained investment in multifamily properties and loans.

Data Collected

The power of AptData comes in part from the depth of information it can collect. For each apartment asset in the database, the system can capture more than 200 data fields that were either collected from data providers or calculated using varied sources.  The Institute created a data dictionary and a variety of data submission formats to make it easy for data providers to contribute.   The major data categories include:

  • Property Static Information
  • Property Valuation Information
  • Property Dynamic Performance Information
  • Affordable Housing Information
  • Loan Static Information
  • Loan Dynamic Information