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Property Databases

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research for over 30 years

Property Databases for Customized Detailed Analyses

Built through years of research, analysis, and property visits conducted by our dedicated research team, Green Street offers online access to our extensive proprietary databases. These databases enable clients to carry out customized detailed analyses on a variety of topics at the company and property-sector levels. Use these databases for valuable insight into our proprietary quality grades, cap rate assumptions, and property snapshots.

Map of A+ Quality Grade Properties - 08/2011

Mall Database

An interactive collection of information and insights for over 1,300 regional malls and other retail properties across the U.S. The database offers Green Street’s proprietary data on cap rates and quality grades per mall using sales per square feet. It can be used to generate customized reports by owner, metropolitan area, or retail property type and provide property snapshots and create tailored maps.

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Strip Center Database

An interactive collection of information and insights for over 2,800 REIT-owned strip center properties across the U.S. The database offers key metrics for determining strip center quality such as average base rent, surrounding demographics, and occupancy. It includes extensive tenant lists and proprietary cap rates by market. Database users can generate custom reports by REIT owner, market, tenant, and strip center property type, download up-to-date competitive profiles and map property locations for assessing a property’s quality and outlook.

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Manhattan Office Database

Green Street’s Manhattan Office Database offers insights and a deep dive into the largest office market in the U.S., which is critical for public and private real estate investors. Access detailed property information including occupancy, rent, tenants, ownership, and a succinct Green Street write-up for each property. The Manhattan Office database is comprised of over 100 properties, totaling 120 million square feet, and over $40 billion in value.

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