What is Polygon Data? Examples, Datasets and Providers

Polygon data offers boundary information for geographic areas, essential for mapping and spatial analysis. Here’s a guide and a list of our polygon data providers.
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Eugenio Caterino
Editor & Data Industry Expert

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.

Examples of polygon data in GIS include:

  • Country borders: Defining national boundaries for political and administrative purposes.
  • City limits: Outlining city boundaries for urban management and planning.
  • Land parcels: Representing individual property boundaries, essential in real estate.
  • Protected natural areas: Indicating conservation zones, aiding in environmental protection.

Best Polygon Datasets & APIs

5.0(3)
Available Pricing:
One-off purchase
Monthly License
Yearly License
Free sample preview
5.0(1)

Xtract.io Polygon Data | Map Data Marinas in US and Canada

by Xtract
Available for 2 countries
199 Polygon Records
12 months of historical data
95% Match Rate
Starts at
$40.83 / purchase
Free sample preview

Sovereign Intelligence | Places Data | Known Polygon Search

Available for 199 countries
50 Billion signals observed daily
36 months of historical data
100% Deterministic
Starts at
$500 / month
Free sample preview
5.0(3)

Geospatial Data | Places Data | Polygon Data | GIS Data | Store Location Data | Global Coverage

Available for 218 countries
1.13M H3 Hexbins @ Level 12 (19m)
5 years of historical data
85% 0.85 corr. with Walmart sales data
Available Pricing:
One-off purchase
Monthly License
Yearly License
Free sample preview
Pricing available upon request
Free sample preview
Available Pricing:
Yearly License
Free sample preview
5.0(1)

Xtract.io - Polygon Data | Top Theatres in US | Map Data | Geometry Data

by Xtract
Available for 2 countries
1.54K Polygon Records
12 months of historical data
95% Match Rate
Starts at
$318.88 / purchase
Free sample preview

Sovereign Intelligence | Building Footprint Data | Known Polygon Search

Available for 199 countries
50 Billion signals observed daily
36 months of historical data
100% Deterministic
Starts at
$500 / month
Free sample preview
5.0(17)

SafeGraph: Location Data - Global Coverage 52M+ POIs

Available for 240 countries
11M POI (Points of Interest)
1 years of historical data
Starts at
$30,000 / year
Free sample preview
Starts at
$5,000 / purchase
Free sample preview

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Polygon Data Use Cases

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.

What is Polygon Data Used For?

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.

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.