What is Data Commons?

Data Commons is an initiative by Google that brings together public data into a unified knowledge graph for exploration and analysis.

How can I access the data?

You can use web tools like Map Explorer or access data programmatically via REST and Python APIs.

Is Data Commons free?

Yes, Data Commons is free to use, with tools and APIs available at no cost.

Can I customize Data Commons?

Yes, you can build your own private instance using the open-source platform to include custom data and control access.

What types of data are available?

Data includes economics, demographics, health, sustainability, education, housing, commute, and equity from various public sources.

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Google Public Data

Google Public Data provides tools to explore, visualize, and analyze a unified knowledge graph of global public datasets, with APIs for integration.

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Score

User Rating

3.0

Free/Trial Support

Supported

Starting Price

Last Updated

Aug 04, 2026

Overview

What is Google Public Data?

Data Commons is a Google initiative that aggregates and standardizes public data from various sources into a knowledge graph, enabling easy exploration, visualization, and analysis through web tools and APIs.

What is Google Public Data used for?

Global Open Data

User Groups

Academic Government Non Profit Corporate

Top Features

Knowledge Graph exploration
Statistical variable analysis
Geographic mapping tools
Time-series trend visualization
Data download capabilities
API access for programmatic use
Open-source customization

How to use Google Public Data?

Access the web platform to use tools like Map Explorer or Scatter Plot Explorer for data visualization, download datasets, or integrate via REST and Python APIs for custom applications.

Alternative Tools

No alternative tools found

Pros & Cons

Pros

Free access to extensive public data
User-friendly visualization tools
High customizability with self-hosting
Strong API support for developers
Broad data coverage across topics

Cons

Limited to public data sources
May require technical skills for advanced use
Data updates depend on source availability

Use Cases

Academic research on demographics
Government policy analysis
Business market insights
Educational data visualization projects
Non-profit sustainability tracking