Full Citation
Title: Getting "Rural" Right: Poverty Disparities Across Two Dimensions of Rurality
Citation Type: Conference Paper
Publication Year: 2019
ISBN:
ISSN:
DOI:
NSFID:
PMCID:
PMID:
Abstract: To study rural poverty in the U.S., researchers commonly use metropolitan/non-metropolitan (i.e., metro/nonmetro) classifications rather than the Census Bureau’s urban/rural classifications, often mixing the “metro/nonmetro” and “urban/rural” terminology interchangeably. This practice is flawed and misleading. Under the metro/nonmetro classification, nonmetro areas have higher poverty rates than metro areas. However, under the urban-rural classification, the relationship is completely reversed; rural areas have the lowest poverty rates overall. In order to overcome this limitation, we compute a continuous measure of urban/rural status—population-weighted density—which can be used as a complement to the metro/nonmetro classification in the analysis of public-use census microdata, thereby capturing two dimensions of rurality. In general, we provide a theoretical basis and methodology for distinguishing rural areas in microdata beyond the metro/nonmetro classification and then use this framework to analyze urban/rural disparities in poverty.
Url: http://paa2019.populationassociation.org/abstracts/193456
User Submitted?: No
Authors: Schroeder, Jonathan; Pacas, Jose; Van Riper, David
Conference Name: PAA 2019
Publisher Location: Austin, TX
Data Collections: IPUMS USA, IPUMS NHGIS
Topics: Other, Poverty and Welfare
Countries: