Directory of Major Malls
Directory of Major Malls
Directory of Major Malls / ShoppingCenters.com (DMM) is a Nyack, New York based retail real estate data company providing detailed shopping center, mall, and tenant data across the United States and Canada, built on decades of manually verified property and tenant research.
About Directory of Major Malls
DMM traces back to the late 1970s, when it started as a print directory cataloguing shopping centers and malls across North America. Over the following decades it evolved into an online platform at ShoppingCenters.com, adding integrated mapping, trade area analysis, and licensed datasets, while holding onto the same manual verification approach that set it apart from the start. Rather than relying purely on automated collection methods like web scraping, DMM checks changes in the retail and shopping center market by hand before that data reaches customers, an approach the company credits for the accuracy of its analytics.
Today DMM database covers more than 50,000 square foot shopping centers and malls, spanning over 17,650 property listings, 370,000 plus tenant locations, representing more than 100,000 brands, and tens of thousands of landlord, property manager, and marketing contacts. Data spans open air community centers, enclosed malls, power centers, lifestyle and mixed use developments, outlet centers, and more, enriched with trade area polygons, geofences, mobile visitor analytics, cross shopping data, demographics, and historical records reaching back to 1990. That combination of nearly five decades of retail specific expertise and granular, hand verified data is what DMM leans on as its core differentiator against newer, automation only competitors.
Provider Snapshot
Headquarters
USA
Years in Operation
53
Listings
4
Countries
2
Categories
6
Industries
6
Coverage & Scale
U.S. and Canadian Shopping Centers and associated tenants
more than 17, 600 centers and 375k associated tenants
Categories
B2B Data
Commerce Data
Geospatial Data
Marketing Data
Industries
Commerce And Industry
Environmental And Land Management
Infrastructure And Construction
Public Sector And Government
Boundary Sets
Privacy Policies
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Key Differentiators
Rigorous Data Validation & Verification
Unlike automated platforms, DMM relies on a continuous, granular research and validation process. This includes primary research, direct verification with ownership and leasing contacts, public records, and proprietary quality-control workflows. This meticulous approach results in millions of data-point updates annually across 17,500+ centers and 365,000+ tenant locations
Precise Spatial Accuracy
DMM utilizes center-level geocoding and highly accurate, property-level geofences (polygons) derived from parcel boundaries and aerial imagery, ensuring defensible spatial and visitation analysis without relying on inconsistent tenant-level assumptions
Rich Historical Data:
DMM possesses an irreplaceable asset of nearly 40 years of historical tenant location and retail center data dating back to 1990 This deep historical context allows users to perform longitudinal trend analysis, model economic resilience across multiple retail cycles, and generate robust market forecasts. Historical Data is available via custom licensing agreements.
Decades of Specialized Industry Expertise: Longevity and Reliability
DMM has been exclusively tracking the retail and shopping center landscape since the late 1970s, providing unmatched, deep industry expertise
Breadth of Property, Tenant, and Ownership Information
DMM tracks over 17,500 shopping centers, malls, and retail nodes, which generally encompass properties of 50,000 square feet or larger . This coverage includes nearly 368,000 tenant locations and over 4.37 billion square feet of retail Gross Leasable Area (GLA) . Additionally, the database provides over 41,000 verified VIP contacts, including leasing agents, landlords, property managers, and marketing directors.
Tenant Categories and Metrics
Every individual store within a DMM shopping center property listing is assigned to one of 16 standardized tenant categories. DMM categorizes tenants by Retail Chain Type (National, Regional, Local Regional, and Independent), tracking approximately 109,000 unique retail brands, with roughly 80% classified as independent retailers - NAICS codes and Retail Chain Store type designations appended to each tenant record, which ensures uniform statistical reporting and facilitates seamless data appending across geographies. -Anchor Store Status and square footage identifying which anchors are "Closed/Closing", Vacant, or Opening. Anchor store metrics provide percentage of total GLA related to the Anchor Stores.
Popular Listings
Data Sources & Collection
DMM employs a continuous, granular research and validation methodology that combines primary research, direct verification with ownership and leasing contacts, public records, and proprietary quality-control workflows. Key components of their spatial and data framework include: -Property Classification: Centers are classified by GLA, physical configuration, and tenant composition into categories such as Community Centers, Regional Centers, Power Centers, Lifestyle/Mixed-Use, and Retail Nodes. -Geocoding: DMM geocodes at the center level rather than the individual tenant storefront level. This avoids the false precision that can arise from suite-level changes, tenant turnover, and internal layout reconfigurations. -Property-Level Geofences: To support accurate spatial and visitation analysis, DMM creates precise property-level polygons derived from parcel boundaries, building footprints, and aerial imagery, representing the true physical footprint of the shopping center.
Provider Snapshot
Headquarters
USA
Years in Operation
53
Listings
4
Countries
2
Categories
6
Industries
6
Coverage & Scale
U.S. and Canadian Shopping Centers and associated tenants
more than 17, 600 centers and 375k associated tenants
Categories
B2B Data
Commerce Data
Geospatial Data
Marketing Data
Industries
Commerce And Industry
Environmental And Land Management
Infrastructure And Construction
Public Sector And Government
Boundary Sets
Privacy Policies