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?

This data is typically gathered through a mix of satellite imagery, aerial photography, surveys, and public records. Advanced geospatial technologies analyze and categorize land based on its current use.

Examples of land use data include maps showing the distribution of different land uses within a region, statistics on the amount of land dedicated to specific purposes, and records of land zoning regulations.

Best Land Use Datasets & APIs

4.8(4)
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview
revenue share

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

Available for 1 countries
155M Properties Profiled
3 years of historical data
100% Fill Rate
Starts at
$0.01 / API Call
Free sample preview
5.0(1)
Starts at
$1,000$900 / month
Free sample preview
10% Datarade discount
Pricing available upon request
Free sample preview
4.8(4)

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

Available for 1 countries
150M records
1 days of historical data
98% Accuracy
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview
revenue share
Pricing available upon request
5.0(2)

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

by GIST
Available for 249 countries
14K Listed Companies
7 years of historical data
Available Pricing:
One-off purchase
Yearly License
Free sample preview
Available Pricing:
One-off purchase
Pricing available upon request
Pricing available upon request

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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.

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