Overview
Location Linkage explains the relationships among different places or individuals that share a single location.
Location Parent & Relationship
When multiple places reside at the same location, linkage is modeled in two attributes:
location_parent_id
- The primary business at a location with multiple places.location_parent_relationship
- The relationship to the primary business at a location
Kiosk
A Coinstar inside of a Vons supermarket:
name | location_parent_relationship | |
Vons | primary | |
Coinstar | kiosk |
Professional Individual
A group of professional individuals within a main medical office:
name | location_parent_relationship | |
Dental Care | primary | |
Jennifer Pichler, DDS | professional_individual | |
Jennifer Ward, DMD | professional_individual |
Separate Business
A Pizza Hut inside a Target:
name | location_parent_relationship | |
Target | primary | |
Pizza Hut | separate |
Department
A branded department within a large department store:
name | location_parent_relationship | |
Target | primary | |
Target Optical | department |
Affiliated Brand
A hybrid chain location with two brands:
name | location_parent_relationship | |
KFC | primary | |
Taco Bell | affiliated |
Multi-Tenant Linkage
Multi-tenant linkage models tenants within a larger complex or building:
landmark_address
- The name of the complex, building, or mall where the place resides.building_number
- A unique ID assigned to a group of places in the same building.number_of_tenants
- The number of places at a multi-tenant location.
Example
A group of places are inside Huntington Harbour Mall:
infogroup_id | name | street | landmark_address | building_number |
500716782 | Dermatology Huntington Beach | 16899 Algonquin St | Huntington Harbour Mall | 0084240 |
438982892 | Doe, John MD | 16899 Algonquin St | Huntington Harbour Mall | 0084240 |
100240621 | Great Wok Restaurant | 16883 Algonguin St | Huntington Harbour Mall | 0084240 |
Commercial Real Estate
Data Axle’s Commercial Real Estate Database contains information about property ownership, purchase information and dates, structural characteristics, and much more. Our commercial property data enables our clients to focus on the real estate transactional market, gain a deeper understanding of a specific business, and expand marketing opportunities beyond what business data can offer alone.
Data Axle collects real estate location-assigned attributes on both physical and financial information in all 50 states. Additionally, Data Axle collects tax assessor information across the United States.
All attributes are recorded or assigned by county assessor departments.
Data is updated/refreshed on a monthly basis. Details about each Real Estate attribute can be found in our Data Dictionary.