US Public Data.
Data USA provides a public API for querying US public data, built on a Tesseract server backend. It exposes endpoints for listing available data cubes, retrieving a cube's schema (measures, dimensions, and levels), listing the distinct members of a dimension level, and fetching the underlying data itself. Data can be filtered by dimension values, limited and paginated, and grouped using drilldowns to select which dimensions appear as columns in the response.
The main data endpoint supports multiple output formats, including CSV, TSV, Parquet, Excel (xlsx), and two JSON variants (array-of-arrays and array-of-objects). Responses include annotations describing the dataset's source and topic, pagination metadata, a list of columns, and the data records themselves. Queries can include or exclude specific members of a dimension to control which categories are considered when aggregating measures.
The API is intended for developers and researchers who want programmatic access to Data USA's underlying datasets, such as population figures by state and year, rather than using the site's visualizations directly.
The data.{format} endpoint supports csv, tsv, parquet, xlsx, jsonarrays, and jsonrecords formats.
The root URL is https://api.datausa.io/tesseract, with endpoints like /cubes, /cubes/{name}, /members, and /data.{format} built on top of it.
You can query the /cubes endpoint for a list of all available data cubes, and /cubes/{name} for the full schema of a specific cube including its measures, dimensions, and levels.
Use the include or exclude parameters with a level name and member key(s) to filter which dimension members are considered in the query.
It is for developers who want to explore and query US public datasets, such as Census population data, programmatically.
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