
ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage 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
3,500 | POI - Shopping Centers |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License |
$3,200 / 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 Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes?
CAP’s Analyst for Canadian Shopping Centers covers 3.5K+ locations, offering a comprehensive horizontal and vertical view. It equips analysts, data scientists, & developers with detailed insights into market dynamics, tenant distribution, and operational trends to drive data-driven decision-making.
What is ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes used for?
This product has 5 key use cases. CAP Locations recommends using the data for Location-based Advertising, Competitor Analysis, Retail Site Selection, Urban Planning, and Mobile Advertising. Global businesses and organizations buy Location Data from CAP Locations to fuel their analytics and enrichment.
Who can use ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes?
This product is best suited if you’re a Medium-sized Business, Enterprise, or Small Business looking for Location 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 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 Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes cover?
This product includes data covering 1 country like Canada. CAP Locations is headquartered in United States of America.
How much does ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes cost?
Pricing for ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes starts at USD3,200 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 Canada GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes?
Businesses can buy Location 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 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.
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This product has 3 related products. These alternatives include ANALYST: Point of Interest (POI) Shopping Centers Dataset I Coverage USA GLA/Owner/Developer/Tenant & Parking - Full Package 39 Attributes, Locations Data McDonald’s Fast-Food Restaurant Locations in US and Canada Comprehensive POI Coverage, and Point of Interest (POI) Data Australia Make Informed Site Selection Decisions Business Location Data Location Data. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.