What is Land Use Data? Examples, Datasets and Providers

Land use data categorizes areas by their usage, such as residential, commercial, or agricultural, supporting planning and environmental studies. This page includes a guide and our top providers for land use data.
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Eugenio Caterino
Editor & Data Industry Expert

What is Land Use Data?

Land use data refers to information that describes how land is utilized or allocated for various purposes, such as residential, commercial, agricultural, industrial, or natural areas. It provides insights into the spatial distribution and patterns of land use activities within a specific region or area. This data helps in understanding the extent and intensity of human activities on the land, facilitating urban planning, environmental management, and decision-making processes.

What Are Examples of Land Use Data?

Examples of land use data include datasets offering insights into how land is designated and used. Key examples include:

  • Residential Land Use: Areas allocated for housing, apartments, and living spaces.
  • Commercial and Industrial Zones: Land used for businesses, offices, factories, and warehouses.
  • Agricultural Areas: Farmland, orchards, and grazing land for livestock.
  • Protected Lands: Parks, reserves, and conservation zones for environmental protection.
  • Mixed-Use Developments: Areas combining residential, commercial, and recreational uses.

Best Land Use Databases & Datasets

The best land use datasets provide detailed zoning, agricultural, and conservation information to support urban planning and resource management. This curated list features the top land use datasets, selected for precision, quality, and trusted providers.

Logo of CrawlBee

CrawlBee | Construction Data | Construction Projects Lead Data | USA | Land Use and Company | Contractor Lists

by CrawlBee
4.8
USA
Free sample preview
API available
Pricing available upon request
Logo of Latitudo 40

Land Cover & Urban Planning Data | Satellite Data: Land Use, Real Estate, Construction, Flooding Risk & Management, Infrastructure

by Latitudo 40
USA
United Kingdom
Germany
+247
Free sample preview
Pricing available upon request
Logo of BatchService

BatchService - Core Property Data + Land Use Data - 155M+ Properties and 240+ Data Points

by BatchService
USA
Free sample preview
API available
Starts at
$0.01 / API Call
Logo of Xverum

Xverum | Indian Geospatial Data | 38M POIs | Up-to-date Indian Map Data | Geo-JSON Format | Monthly Refreshed Location Data | Indian Land Use Data

by Xverum
5.0
India
Free sample preview
Starts at
$1,000$900 / month
Logo of CrawlBee

Crawlbee | Geospatial Data | Land Data | Location Data | Property Data | Parcel Data

by CrawlBee
4.8
USA
Free sample preview
API available
Pricing available upon request
Logo of USLandGrid

USLandGrid Nationwide Land Grid Data

by USLandGrid
USA
Canada
Pricing available upon request
Logo of GIST

Biodiversity Footprint Data | Nature ESG Data | 14k+ Global Companies | Climate Risk Data

by GIST
5.0
USA
United Kingdom
Germany
+246
Free sample preview
API available
Pricing available upon request
Logo of Matrixian

Consumer Data Netherlands (200+ socio-demographic characteristics per household)

by Matrixian
Netherlands
API available
Pricing available upon request
Logo of Caeli

Certified ground measurement stations data | Air quality | Particular Matter(PM2.5)

by Caeli
United Kingdom
Germany
France
+10
API available
Pricing available upon request
Logo of USLandGrid

USLandGrid Nationwide Tax Parcel Data

by USLandGrid
USA
Pricing available upon request

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Land Use Data Attributes

Land use data attributes capture how land is utilized, categorized, and managed.

Attribute Description Example
Land Use Categories Classification of land by use type. E.g., Residential, Agricultural, Industrial.
Zoning Information Regulations governing land use in specific areas. E.g., Residential Zone R1.
Geographic Boundaries Defined polygons representing land use areas. E.g., A 10-acre agricultural plot.
Land Cover Type Physical coverage of the land surface. E.g., Forest, Grassland, Urban Area.
Ownership Information Details of land ownership or management. E.g., Private, Public, or Corporate-owned.
Environmental Factors Data on natural features or constraints. E.g., Wetlands, Flood Zones.
Usage Density Intensity of land usage, such as population or building density. E.g., 1,000 residents per square mile.

Frequently Asked Questions

How Accurate is Land Use Data?

The accuracy depends on the collection methods. High-resolution satellite imagery combined with on-the-ground verification tends to offer the most precise results. If precision is critical—such as for zoning laws or environmental impact studies—we recommend choosing data sources known for their high accuracy and frequent updates.

How Frequently is Land Use Data Updated?

Update frequency varies. Some datasets are refreshed in real-time or monthly using the latest satellite imagery, while others might be updated annually. For projects that require the most current information, opting for data with frequent updates will keep you informed about recent changes in land use patterns.

How Much Does Land Use Data Cost?

Costs can vary widely based on coverage area, data resolution, and update frequency. Prices might range from affordable rates for small regions to higher fees for extensive, detailed datasets. We suggest starting with a free sample or a smaller dataset to ensure it meets your needs before investing in a larger purchase.

What Geographic Areas Are Covered by Land Use Data?

Coverage can range from local areas to global datasets, depending on the provider. Whether you need data for a specific city or multiple countries, there’s likely a dataset that fits your requirements.

How Can I Access Land Use Data?

Access methods include downloadable files in formats like .csv or .json, APIs for real-time integration, or cloud-based platforms with visualization tools. Depending on your needs, you might prefer an API for seamless integration into your systems or downloadable datasets for offline analysis.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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