  An assisted living facility (ALF) is a place where someone can live, have
access to social supports such as transportation, and receive assistance with
the activities of daily living such as toileting and dressing. Despite the
important role of ALFs, they are not required to be certified with Medicare and
there is no public national database of these facilities. We present the first
public dataset of ALFs in the United States, covering all 50 states and DC with
44,638 facilities and over 1.2 million beds. This dataset can help provide
answers to existing public health questions as well as help those in need find
a facility. The dataset was validated by replicating the results of a
nationwide study of ALFs that uses closed data [4], where the prevalence of
ALFs is assessed with respect to county-level socioeconomic variables related
to health disparity such as race, disability, and income. To showcase the value
of this dataset, we also propose a novel metric to assess access to
community-based care. We calculate the average distance an individual in need
must travel in order to reach an ALF. The dataset and all relevant code are
available at github.com/antonstengel/assisted-living-data.
