A fine-grained, versatile index of remoteness to characterize place-level rurality
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Rural-urban classifications are essential for analyzing geographic, demographic, environmental, or socioeconomic processes across the rural-urban continuum. However, existing county-level classifications may ignore the within-county variations of rurality, which can be problematic if the scale of interest is at the place-level or finer. Moreover, existing rural-urban classification are often inconsistent over time and thus, impede the long-term analysis of rural-urban dynamics. We developed a distance-based method to generate place-level remoteness estimates based on simple input data. We create our remoteness index based on place-level population data for the U.S. from 1980 to 2010. The proposed index is generalizable to data-scarce environments and earlier time periods and is based on the distances of a given place to the nearest places of different population sizes, and allows for fine-grained, temporally consistent analyses of rural-urban processes.
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