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Central Distributor SID: Description of Data Elements

 
PL_RUCA4 - Patient location: Rural-Urban Commuting Area (RUCA) Codes, four levels
 
Documentation Sections:
General Notes
Uniform Values
State Specific Notes
General Notes
 

Rural Urban Commuting Areas (RUCA) are assigned to ZIP Codes using population and commuting information from the Census. They form a classification scheme that distinguishes urban ZIP Codes by population size and characterizes rural ZIP Codes by their population and the strength of their association with larger urban areas. Rural ZIP Codes are differentiated by three factors; the size of their largest urban community, the proportion of that population regularly commuting to larger urban areas, and the size of the urban destinations. RUCA are defined for 1993 ZIP Codes using population and commuting information from the 1990 census.

PL_RUCA4 is created using a method recommended by RUCA's developers for combining the 30 categories defined by the full RUCA into a few broader categories suitable for health care analysis. The full RUCA is collapsed into PL_RUCA4 using this translation:

PL_RUCA4 PL_RUCA4 Description RUCA Values
1 Urban 1.0, 1.1, 2.0-2.2, 3.0, 4.1, 5.1, 7.1, 8.1, 10.1
2 Large rural town 4.0, 5.0, 6.0
3 Small rural town 7.0, 7.2-7.4, 8.0, 8.2-8.4, 9.0-9.2
4 Isolated rural 10.0, 10.2-10.5

This approach produces four classes by combining categories defined by the population and primary destination of commuting flows of a ZIP Code. This definition is especially sensitive to commuting as a measure of urban influence. If large secondary commuting flows (> 30%) connect it with a more heavily urbanized area, a more urbanized category is assigned than the ZIP Code's population alone would dictate.

 
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Uniform Values
 
VariableDescriptionValueValue Description
PL_RUCA4Patient location: Rural-Urban Commuting Area (RUCA) Codes, four levels1Urban
2Large rural town
3Small rural town
4Isolated rural
.Missing
 
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State Specific Notes

None

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Internet Citation: HCUP Central Distributor SID Description of Data Elements - All States. Healthcare Cost and Utilization Project (HCUP). October 2024. Agency for Healthcare Research and Quality, Rockville, MD. www.hcup-us.ahrq.gov/db/vars/siddistnote.jsp?var=pl_ruca4.
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Last modified 10/16/24