Which Definition of Rurality Should I Use? : The Relative Performance of 8 Federal Rural Definitions in Identifying Rural-Urban Disparities

Abstract

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Abstract

Background:

The federal government uses multiple definitions for identifying rural communities based on various geographies and different elements of rurality.

Objectives:

The objectives of this study were to: (1) assess the degree to which rural definitions identify the same areas as rural; and (2) assess rural-urban disparities identified by each definition across socioeconomic, demographic, and health access and outcome measures.

Research Design:

We determined the rural status of each census tract and calculated the rural-urban disparity resulting from each definition, as well as across the number of definitions in which tracts were designated as rural (rurality agreement).

Subjects:

The population in 72,506 census tracts.

Measures:

We used 8 federal rural definitions. Population characteristics included percent with a bachelor’s degree, income below 200% poverty, population density, percent with health insurance and whether various health care services were within 30 minutes driving time of the tract centroid.

Results:

The rural population varied from slightly < 6.9 million people to >75.5 million across definitions. The largest rural-urban disparities were found using Urban Influence Codes. Urbanized Area and Urbanized Cluster tended to generate smaller disparities. Population characteristics such as population density and percent White had notable discontinuities across levels of rurality, while others such as percent with a bachelor’s degree and income below 200% poverty varied continuously.

Conclusions:

Rural-urban populations and disparities were sensitive to the specific definition and the relative strength of definitions varied across population characteristics. Researchers and policymakers should carefully consider the choice of outcome and region when deciding the most appropriate rural definition.