What is Polygon Data? Examples, Datasets and Providers
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Polygon Data?
Polygon data is geospatial information relating to the boundaries of a chosen building or area. It’s used to develop a better understanding of real world surroundings and has a range of location-based use cases, from digital marketing to urban development. Polygon data is key in spatial analysis, mapping, and visualization, and here you’ll find top sources for such data.
What is an Example of Polygon Data?
Polygon data belongs to vector data types in GIS, which also include points and lines, representing spatial features with accuracy. In GIS, polygon data maps areas such as lakes, parks, or property lines, facilitating spatial analysis and pattern recognition. Key examples include:
- Administrative Boundaries: Shapes representing cities, counties, states, or countries.
- Neighborhood Boundaries: Polygons outlining residential or commercial areas.
- Property Boundaries: Land parcel shapes for real estate or land use planning.
- Retail Trade Areas: Regions around stores representing customer catchment areas.
- Service Coverage Areas: Zones served by utilities, delivery services, or transportation.
Best Polygon Databases & Datasets
The best polygon datasets provide accurate geographic boundaries and zoning information for applications like mapping, urban planning, and logistics. This curated list features the top polygon datasets, selected for precision, quality, and trusted providers.
Polygon Data | US Data | 14.4M+ Locations | Polygon attached to POI
Global Geospatial Data | Polygon Data | International polygon data coverage | Postal/Zip code areas
Polygon Data | Marinas in US and Canada | Map & Geospatial Insights
North America Foot Traffic, POI, and Building Polygon Data | GDPR Compliant | No PII | 40+ million POIs
Geospatial Data | Places Data | Polygon Data | GIS Data | Store Location Data | Global Coverage
ADD-ON: Geospatial Dataset | GeoFences USA | 43K+ Polygons
Geospatial Data | Global Map data | Postal/Zip code boundaries | Polygon data
Accurate & Fully Automated Polygon Geofences for Trucking & Logistics
Polygon Data | Top Theatres in US | Map Data | Geometry Data | Comprehensive Coverage
United States Point of Interest and Foot Traffic Data | 26.5M+ POIs | Building Polygons
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Top Polygon Data Providers & Companies
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InfobelPRO
CoverageUSAUK+248VI got into a discussion with the Infobel team to then finalize the deal to enrich our applications with information on companies (so B2B data). All data is provided through APIs, allowing our customers to search for company details whenever they need it (for prospection, validation, etc.). It has been nearly a year now, and we're happy with the data we got and with the collaboration itself. Best
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Xtract
CoverageUSAUK+248VIt has been a great experience working with Xtract.io. Their data quality was top-notch, helping us strategize new locations for business expansion. Thank you, team, for giving us the right datasets that we require to expand our store outlets.
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GeoPostcodes
CoverageUSAUK+248GeoPostcodes provides the world's most comprehensive zip code data for Enterprise customers. Our database includes zip codes, cities, and administrative areas for 247 countries and is updated weekly. 124 Fortune 500 companies trust us, including IBM, DB Schenker, Ernst & Young, and Amazon.247Countries8.6 MZip codes880kBoundaries -
CAP Locations
CoverageUSAUK+1CAP (Competitive Analytics Professionals) is the leading provider of Location Data in the United States, Canada and Great Britain.46K+Shopping Centers7.81B+Total Retail GLA Tracked98%Centers Geofenced -
Echo Analytics
CoverageUSAUK+248VThe recent webinar by Echo on their data collection process was excellent, very well explained and lucid. I understood how complex the process is to clean the data. Their product is a really interesting one.
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Huq Industries
CoverageUSAUK+247VHuq’s data is real-time and that makes the data in the TE dashboard even stronger and more valuable. Both local and central government bodies will be able to use it to get a clearer picture of the real economic impacts of Covid-19 across the country. Benjamin Lucas (PhD, FHEA), Managing Director at 3DI
Popular Use Cases for Polygon Data
Polygon data is essential for analyzing geographic areas. It tracks foot traffic in locations like malls, aids urban planning with zoning and infrastructure mapping, and optimizes catchment areas for businesses to target customers effectively.
Main Attributes of Polygon Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 85 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 84 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 79 datasets | |
| String | The name of a brand. | View 61 datasets | |
| String | The name of a city. | View 59 datasets | |
| String | The name of a location. | View 59 datasets |
Polygon Data Use Cases in Detail
Polygon data plays a crucial role in geospatial data applications, providing detailed spatial boundaries for analysis. Polygon data is used across various fields to represent and analyze spatial areas.
Geospatial data analysis: Supports complex spatial analyses for scientific and commercial purposes.
GIS data visualization: Enhances map representations, making spatial data easier to interpret.
Urban planning and development: Helps design and manage urban spaces by understanding land use.
Real Estate Insights: Aids in property valuation and management with precise boundary information.
Mobility Analysis: Examine movement patterns within areas, crucial for urban planning and public transport optimization.
Foot Traffic Analytics: Study pedestrian flows in retail and urban zones, informing store layout and urban design.
Catchment Area Analysis: Determine the reach of services, helping plan new locations for stores or facilities.
What is the Difference Between Point Data and Polygon Data?
Point data and polygon data differ in representing spatial information:
- Point Data: Depicts specific locations, like cities or landmarks, useful for pinpointing precise spots.
- Polygon Data: Illustrates areas with boundaries, such as lakes or property plots, useful for mapping regions.
What is the Difference Between Raster and Polygon Data?
Raster data and polygon data have different structures and uses:
- Raster Data: Made of pixels, suitable for continuous data like elevation maps, showing varying intensities.
- Polygon Data: Defined by areas, ideal for discrete data like land use or boundaries, allowing precise mapping.
Frequently Asked Questions
How is Polygon Data Priced?
The pricing for polygon data can vary depending on several factors, such as data volume, geographic scope, and the level of detail required. Common pricing models include monthly subscriptions, one-time licensing fees, or pay-per-use options, especially if you’re only retrieving specific datasets. For larger or more complex datasets, custom pricing may be available to match your specific requirements. We recommend discussing your needs with the provider to get a tailored pricing plan that fits your project.
Can I Request Custom Polygon Data?
Yes, many providers offer the flexibility to create custom polygon data based on your specific needs. Whether you’re looking for particular geographic boundaries, custom zoning maps, or specific land-use areas, providers can tailor the data to your specifications. We suggest reaching out to discuss the level of customization you need, as custom requests typically involve tailored pricing. This ensures you receive data that perfectly fits your project goals.
What Types of Polygon Data are Available on Datarade?
Datarade Marketplace features a diverse selection of polygon data, ranging from geographic and administrative boundaries to property parcels, zoning areas, and even environmental conservation zones. These datasets come with detailed attributes such as coordinates, land use, area size, and boundaries. Whether you’re working on urban planning, real estate analysis, or environmental studies, you’ll find a wide variety of polygon data products that suit different needs.
