Identifying Rural Communities with 2012-2015 ACS PUMS data

I am interested in performing a national rural analysis with 2012-2015 ACS PUMS data. The ACS PUMS documentation recommends using data from the Missouri Census Data Center (MCDC) <http://mcdc.missouri.edu/websas/geocorr14.html> to identify other geographies. The national level data downloaded from the MCDC includes state, county 2010, CBSA 2010, CBSA type, urban-rural portion. These data are then merged with 4 years of ACS data by state and puma.

Tabulations of rural areas, using CBSA type variable or the urban-rural portion, results in over 2 million missing observations. Has anyone else encountered this problem? I realize that the PUMA represents areas with populations of 100,000 or more people and a 1:1 match between PUMA:rural areas may be limited- I just didn't expect so much missing data.  

While, iPUMS is a great resource, I would like to work directly with ACS data from the Census Bureau. Do any of you have other recommendations for identifying rural areas with the ACS PUMS?

Regards,

Shondelle Frederick

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  • Hi Shondelle -
    By spatial scale, I was trying to determine if you have a preference (or research need) for working with PUMA, county, or smaller (e.g. tract) areas for your analysis. The definition of "rural" depends a bit on what geography (e.g. county or tract) you're using. But now you have both answers - and hopefully one will work for your analysis! If not, let us know, and we'll see if anyone else in the community has a recommendation.
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  • Hi Shondelle -
    By spatial scale, I was trying to determine if you have a preference (or research need) for working with PUMA, county, or smaller (e.g. tract) areas for your analysis. The definition of "rural" depends a bit on what geography (e.g. county or tract) you're using. But now you have both answers - and hopefully one will work for your analysis! If not, let us know, and we'll see if anyone else in the community has a recommendation.
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