Using the tenets of data feminism, we analyse the National Agricultural Statistics Service Quick Stats database - the primary repository of United States agricultural data. We identify unstated assumptions built into the database's scaffolding through data collection, aggregation and dissemination practices, revealing how they facilitate granular analyses of agricultural topics historically judged as national priorities while leaving unilluminated many others of vital importance for contemporary sustainability needs. We argue that this entrenches an inequitable and unsustainable food systems status quo, and we offer recommendations for data providers and users based on principles of reflexivity, context and pluralism.
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