There are seven descriptive variables included for each row of data to identify what geographic area the data is for and additional information, such as if the county was ranked. [...] These measures and their corresponding variables are: • Primary care physicians (variable = v004_other_data_1), • Dentists (variable = v088_other_data_1), • Mental health providers (variable = v062_other_data_1), and • Other primary care providers (variable = v131_other_data_1) For these measures, the value reported for each county is a ratio of population:number of providers. [...] The analytic dataset includes both the rate (as the raw value variable), and the ratio (as the “other data 1” variable). [...] When a county has no reported providers (ratio = [population]:0), the value for the ratio variable is assigned to be the negative population value. [...] These measures are coded as: • v(measure ID)_race_aian for the American Indian & Alaska Native population estimate • v(measure ID)_race_asian for the Asian population estimate • v(measure ID)_race_black for the Black population estimate • v(measure ID)_race_hispanic for the Hispanic population estimate • v(measure ID)_race_white for the white population estimate If confidence intervals are availab.
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