We have new 2014 codes for county, county subdivision (aka MCD, towns in New England, etc.), and place (city). These are in addition to the original 2010 values which are still there. Note that there is only a single county change since 2010, that occuring in Virginia where the previous Bedford independent city became part of Beford county.
We now provide three sets of metro area codes (CBSA, CBSA type, Metro Division, and Combined Statistical Area). Where the previous version provided access only to the then-current 2013 values, we now provide access to 2010, 2013, and 2015 values. These reflect all possible values since 2010, since there have been only two updates since 2010 — those released in February of 2013 and those released in July, 2015.
We have updated 2014 school districts (for the entire country).
We have created two new geocodes related to school districts (2010 and 2014). These are the Best School District and Best School District Type. The best school district is particularly useful in states where there is one and only one school district type (unified, elementary, secondary) assigned to any area. In Missouri, for example, there are unified and elementary districts only (no secondary) and these are mutually exclusive geographies. The best code is assigned as the unified district code if not blank; if no unified code then the elementary district code is assigned as the best code; and if both unified and elementary are blank then the secondary district code is assigned. The best type is a one-character code with a value of U, E, or S to indicate which type of district was assgned as best.
New 114th Congressional District and the latest state legislative district geocodes have been added.
In the Missouri-only section, we have added current (2015) library districts. The codes have been modified to conform to the standard codes assigned by the Institue of Museum and Library services. We have added some three-character suffixes to create codes for some of these districts, which are really subdistricts (often county portions).
Geocorr12 offered a 2012 population estimate as a weight variable choice, and that is now replaced in this version with a 2014 estimate. For now this is the same county-population-based estimate where we simply apply a county-level population growth factor. We are hoping that we may be able to get access to some smaller area estimates (at census tract level) in order to make this weight factor more reliable for smaller areas.
Power users who may occasionally prefer to access the block-level data in the mable14 dataset can do so using Uexplore/Dexter to access the mable14 data directory. Here you will also find a sasfmats subdirectory containing key SAS format codes with the codes and names for several key geographic units: county, county subdivision (town), place, puma (named for the first time this decade), school, and urbanized area/cluster.