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:
- Identifying the dimensions of rurality: population size, density, remoteness, and built-up area.
- Selecting measureable variables to adequately represent each dimension:
- Size: logarithm of population size
- Density: logarithm of population density.
- Remoteness: network distance.
- Built-up area: urban area (as defined by the US Census Bureau) as a percentage of total land area.
- Re-scaling the variables onto bounded scales that range from 0 to 1.
- 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
Cite this work
Researchers should cite this work as follows:
- Waldorf, B.; Kim, A. (2018). The Index of Relative Rurality (IRR) : US County Data for 2000 and 2010. Purdue University Research Repository. doi:10.4231/R7959FS8
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Notes
If you have any questions, please contact authors:
Brigitte S. Waldorf, bwaldorf@purdue.edu
Ayoung Kim, ayoung.kim@msstate.edu