The Index of Relative Rurality (IRR) : US County Data for 2000 and 2010

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By Brigitte Waldorf1, Ayoung Kim2

1. Dept. of Agricultural Economics, Purdue University 2. Dept. of Agricultural Economics, Mississippi State University

The Index of Relative Rurality (IRR) is a continuous, threshold-free, and unit-free measure of rurality. It is an alternative to the traditional discrete threshold-based classifications. The dataset includes the U.S. county-level IRR for 2000 and...

Version 1.0 - published on 18 Apr 2018 doi:10.4231/R7959FS8 - cite this Archived on 18 May 2018

Licensed under Attribution 3.0 Unported

Description

The Index of Relative Rurality (IRR) is a continuous, threshold-free, and unit-free measure of rurality. The original version of the IRR was proposed by Waldorf (2006, http://ageconsearch.umn.edu/handle/21383) as an alternative to the traditional discrete threshold-based classifications, such as the Rural-urban Continuum Code and the Urban Influence Code. Waldorf and Kim (2015) designed an improved county level IRR for 2000 and 2010.

The IRR has three major advantages over typology-based rurality measures. (1) It is spatially flexible in that it can be designed for any spatial units; (2) it is a relative measure and thus embeds rurality in the broader system of settlements; (3) it is analytically more easily handled than threshold-based typologies.  

The IRR ranges between 0 (low level of rurality, i.e., urban) and 1 (most rural). Four steps are involved in its design:

  1. Identifying the dimensions of rurality: population size, density, remoteness, and built-up area.
  2. Selecting measureable variables to adequately represent each dimension:
    1. Size: logarithm of population size
    2. Density:  logarithm of population density.
    3. Remoteness: network distance.
    4. Built-up area: urban area (as defined by the US Census Bureau) as a percentage of total land area.
  3. Re-scaling the variables onto bounded scales that range from 0 to 1.
  4. Selecting a link function: unweighted average of the four re-scaled variable.

For more information:

Waldorf, Brigitte, and Ayoung Kim. 2015. "Defining and Measuring Rurality in the US: From Typologies to Continuous Indices." Commissioned paper prepared for the National Academies of Sciences Workshop on Rationalizing Rural Classifications, April 2015, Washington, DC http://sites.nationalacademies.org/cs/groups/dbassesite/documents/webpage/dbasse_168031.pdf

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If you have any questions, please contact authors:
Brigitte S. Waldorf, bwaldorf@purdue.edu
Ayoung Kim, ayoung.kim@msstate.edu

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