Shopping Centers POI Dataset | Analyst | USA | 39 attributes
$9,600.00
CAP’s Analyst USA Shopping Centers Dataset tracks 44K+ Shopping Centers and includes all features of the Basic & Premium Dataset, and expands the depth to a total of 39 variables. This allows analysts, solution providers and data scientists. These additions provide deeper insights, enabling more granular analysis for enhanced decision-making, in retail, real estate, market research and solution providers.
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Details
CAP Shopping Centers (POI) - Analyst
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Total Shopping Centers: Covers 44,000+ shopping centers across USA with an expansive dataset for in-depth analysis.
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Purpose: The most comprehensive resource for analyzing the USA shopping center landscape, providing full horizontal and vertical market insights.
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Data Coverage: Includes all data from the Premium dataset, expanding to 39 total attributes for deeper market evaluations.
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Attributes: Provides extensive metrics covering tenant distribution, operational efficiencies, and shopping center classification.
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Unique Property ID: Each location has a distinct identifier for seamless data integration and accurate referencing.
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Advanced Geospatial Insights: Features a multi-stage geocoding process developed by CAP, ensuring the highest level of mapping precision for spatial analysis.
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Developer & Ownership Details: Includes key data points such as:
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Center Type: Operational, Proposed, or Redeveloped.
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Year Built & Remodeled: Historical and current construction data.
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Owner/Developer Profiles: Comprehensive details on ownership structures and development trends.
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Operational Status & Redevelopment Plans: Insights into future shopping center changes and investments.
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Geographic & Classification Variables: Offers detailed segmentation and regional analysis for better decision-making.
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Expansion & Market Strategy: Helps businesses identify prime locations, assess shopping center distribution, and benchmark against national and local trends.
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Placekey Integration: Ensures consistency in location-based analytics for seamless cross-platform data usage.
- Decision Support: A data-driven competitive edge for analysts, data scientists, and business strategists to assess market opportunities, streamline operations, and drive strategic growth.
Attributes:
| NAME | DATA TYPE | DESCRIPTION |
| PropertyID | Integer | Unique Property Identifier |
| PropertyName | String | Shopping Center Name |
| PropertyURL | String | Shopping Center Website |
| DeveloperID | Integer | Shopping Center Developer Identifier |
| DeveloperName | String | Shopping Center Developer Name |
| CategoryID | Integer | Shopping Center Category Identifier |
| ClassName | List | Shopping Center Category Name |
| Type | List | Shopping CenterType |
| Year_Opened | Integer | Shopping Center Year Opened |
| Year_Remodeled | Integer | Shopping Center Year Remodeled |
| GLA | Integer | Shopping Center Gross Leasable Area |
| GLA_Source | List | Indicator on how GLA was derived or calculated |
| Parking_Count | Integer | Shopping Center Parking Count |
| Parking_Source | List | Indicator on how Parking_Count was derived or calculated |
| Unit_Count | Integer | Shopping Center Anchors and Tenants count |
| Units_Source | List | Indicator on how Unit_Count wasd erived or calculated |
| Address1 | String | Shopping Center Address |
| City | String | City |
| StateProvince | List | Abbreviated State or Province |
| StateProvince_Code | Integer | Unique Code for each State or Province |
| ZipPostal_Code | String | Zip code or Postal code |
| Zip4 | String | Zip+4 |
| Country | List | Country Name |
| PhoneNumber | String | Shopping Center Phone Number |
| FaxNumber | String | Shopping Center Fax Number |
| Latitude | Float | Latitude Coordinate of Shopping Center |
| Longitude | Float | Longitude Coordinate of Shopping Center |
| GeocodeLevelID | Integer | Geocode Level Identifier |
| GeocodeLevel | List | Indicator on the level of accuracy of the Geocode |
| Acreage | Float | Size of the Shopping Center measured in acres |
| BG | String | US Census Block Group |
| County_Code | Integer | US County Code |
| County_Name | String | US County Name |
| DMA_Code | Integer | DMA Code |
| DMA_Name | String | DMA Name |
| CBSA_Code | Integer | CBSA Code |
| CBSA_Name | String | CBSA Name |
| Linked_Unit_Count | Integer | Total number of Key Tenants that are linked with the Shopping Center |
| Placekey | String | Placekey Identifier |












