
ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage USA/Canada | GLA/Owner/Developer/Tenant & Parking - Full Package | 39 Attributes
# | PropertyID |
PropertyName |
PropertyURL |
DeveloperID |
DeveloperName |
CAP_CategoryID |
CAP_ClassName |
Type |
Year_Opened |
Year_Remodeled |
GLA |
GLA_Source |
Parking_Count |
Parking_Source |
Unit_Count |
Units_Source |
Address1 |
City |
StateProvince |
StateProvince_Code |
ZipPostal_Code |
Zip4 |
Country |
PhoneNumber |
FaxNumber |
Latitude |
Longitude |
GeocodeLevelID |
GeocodeLevel |
Acreage |
BG |
County_Code |
County_Name |
DMA_Code |
DMA_Name |
CBSA_Code |
CBSA_Name |
Linked_Unit_Count |
Placekey |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx |
2 | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx |
3 | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx |
4 | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx |
5 | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx |
6 | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx |
7 | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx |
8 | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx |
9 | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx |
10 | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx |
... | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
PropertyID
|
Integer | 3831 | |
PropertyName
|
String | Sunset Square | |
PropertyURL
|
|||
DeveloperID
|
|||
DeveloperName
|
|||
CAP_CategoryID
|
Integer | 4 | |
CAP_ClassName
|
String | Power | |
Type
|
String | OPERATIONAL | |
Year_Opened
|
|||
Year_Remodeled
|
|||
GLA
|
Integer | 378621 | |
GLA_Source
|
String | A | |
Parking_Count
|
Integer | 1655 | |
Parking_Source
|
String | A | |
Unit_Count
|
Integer | 39 | |
Units_Source
|
String | A | |
Address1
|
String | 1155 East Sunset Drive | |
City
|
String | Bellingham | |
StateProvince
|
String | WA | |
StateProvince_Code
|
Integer | 53 | |
ZipPostal_Code
|
Integer | 98226 | |
Zip4
|
|||
Country
|
String | United States | |
PhoneNumber
|
|||
FaxNumber
|
|||
Latitude
|
Float | 48.77345657 | |
Longitude
|
Float | -122.4612656 | |
GeocodeLevelID
|
Integer | 9 | |
GeocodeLevel
|
String | Manual | |
Acreage
|
Float | 30.51 | |
BG
|
Integer | 530730001003 | |
County_Code
|
Integer | 53073 | |
County_Name
|
String | Whatcom | |
DMA_Code
|
Integer | 819 | |
DMA_Name
|
String | Seattle-Tacoma | |
CBSA_Code
|
Integer | 13380 | |
CBSA_Name
|
String | Bellingham, WA | |
Linked_Unit_Count
|
Integer | 7 | |
Placekey
|
String | zzw-223@5x3-2tp-rrk |
Attribute | Type | Example | Mapping |
---|---|---|---|
PropertyID
|
Integer | Unique and Persistent ID for Shopping Center. | |
PropertyName
|
String | Shopping Center Name or Market Name. | |
CAP_ClassName
|
String | ||
Class_Size
|
String | Small, Medium, Large | |
Address
|
String | ||
City
|
String | Toronto | |
String | Address | ||
ZipPostal_Code
|
String | M1C 5C8 | |
Country
|
String | Canada |
Description
Country Coverage
History
Volume
46,000 | POI - Shopping Centers |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License |
$11,520 / year |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
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Frequently asked questions
What is ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage USA/Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes?
CAP’s Analyst for USA & Canada Shopping Centers covers 46K+ locations, offering a comprehensive horizontal and vertical view. It equips analysts, data scientists, and developers with detailed insights into market dynamics, tenant distribution, and operational trends to drive data-driven decisions.
What is ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage USA/Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes used for?
This product has 3 key use cases. CAP Locations recommends using the data for Competitor Analysis, Retail Site Selection, and Urban Planning. Global businesses and organizations buy Map Data from CAP Locations to fuel their analytics and enrichment.
Who can use ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage USA/Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Map Data. Get in touch with CAP Locations to see what their data can do for your business and find out which integrations they provide.
How far back does the data in ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage USA/Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes go?
This product has 4 years of historical coverage. It can be delivered on a yearly basis.
Which countries does ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage USA/Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes cover?
This product includes data covering 2 countries like USA and Canada. CAP Locations is headquartered in United States of America.
How much does ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage USA/Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes cost?
Pricing for ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage USA/Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes starts at USD11,520 per year. Connect with CAP Locations to get a quote and arrange custom pricing models based on your data requirements.
How can I get ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage USA/Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes?
Businesses can buy Map Data from CAP Locations and get the data via S3 Bucket and UI Export. Depending on your data requirements and subscription budget, CAP Locations can deliver this product in .csv and .xls format.
What is the data quality of ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage USA/Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes?
CAP Locations has reported that this product has the following quality and accuracy assurances: 99% Location Accuracy. You can compare and assess the data quality of CAP Locations using Datarade’s data marketplace.
What are similar products to ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage USA/Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes?
This product has 3 related products. These alternatives include ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes, Point of Interest (POI) Data Australia Make Informed Site Selection Decisions Business Location Data Location Data, and Locations Data McDonald’s Fast-Food Restaurant Locations in US and Canada Comprehensive POI Coverage. You can compare the best Map Data providers and products via Datarade’s data marketplace and get the right data for your use case.