Data Commons

Data Commons is an initiative from Google. Explore diverse data, learn to use its tools through Python examples, and stay updated on the latest news and research.

What Google has to say about Data Commons:

Many of the big challenges we face — climate change, increasing inequities, epidemics of diabetes and other health conditions — will need deep insights to solve. These insights will need to be firmly grounded in data. Fortunately, a lot of this data is already publicly available. Unfortunately, there is a difference between data being public and data being easily usable by those who need access to it. It is this gap that we are trying to bridge.

Google has organized and made easily accessible many kinds of information — web pages, images, maps, videos and so on. Now we are doing this for publicly available data. We have organized the core of this data from a wide range of sources, ranging from governmental statistical organizations like census bureaus to organizations like the World Bank and the United Nations. And recent advances in AI have enabled us to go much farther than we had thought possible in making this data easily accessible – now you can use natural language to access the data.

Data Commons synthesizes a single graph from these different data sources. It links references to the same entities (such as cities, counties, organizations, etc.) across different datasets to nodes on the graph, so that users can access data about a particular entity aggregated from different sources without data cleaning or joining.

The data in Data Commons can have many practical applications in the political campaign space, helping deepen our knowledge and understanding of the communities we want to serve by providing publicly available, standardized, combined, and ready-for-analysis data.

Examples of data available: 

• The highest rates of uninsured by county in the US 
• Economic and Labor data for specific geographic areas