Hi, I was hoping to do an analysis of a particular combined metropolitan statistical area (CMSA) with ACS data. But, I see that in the MET2013 variable, the CMSA is split between two separate MET2013 codes. If I combine the data from these two codes - do I get the CMSA that I’m looking for?
Specifically, I wanted to do an analysis of the Greenville-Spartanburg-Anderson, SC CMSA. But, in the MET2013 codes, they are split between Spartanburg (43900) and Greenville-Anderson-Mauldin, SC (24860). If I combine the data under those two MET2013 codes, do I get the CMSA I’m aiming to analyze?
Finally, would that combination represent the Greenville-Spartanburg-Anderson, SC CMSA in the same way that the MET2013 Youngstown-Warren-Boardman, OH-PA (code 49660) represents it’s own CMSA?
Alternatively, I’ve thought about trying to recreate the the CMSA by combining county-level data? I also don’t think the PUMA geographies represent the CMSA’s in the way that I would hope - so I’m more hopeful that the MET2013 variable is the way to get at the geography I want.
Thanks for any help!