Yes, Chuck, this is a data advantage for strong MCD regions--the workplace
allocation is complete at this subcounty level that covers all areas of
each county (as opposed to place, which doesn't have county-wide coverage).
And our TAZs nest within our municipal boundaries, so fitting their flows
to the MCD total is a good way to go for adjustments. The only issue in our
region is that Philadelphia is both a county and MCD, so we don't get a
subcounty control for our TAZ workplace fitting within our high pop/high
employment urban center the way we do for our smallest boroughs and
townships (we have one borough with a population of 10 and employment of
25).
Thanks for always pointing us to good resources and encouraging our
experienced and burgeoning R users to explore CTPP data with that toolset!
Ben
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On Tue, Mar 15, 2022 at 4:05 PM Charles Purvis <clpurvis(a)att.net> wrote:
Being a west coaster, I rarely dabble in MCDs - Minor
Civil Divisions, or
NECTAs (New England City and Town Areas). I thought this deserves some
exploration.
I created a new version of my R-package CTPPr script that pulls in
intra-state Vermont total commuters: county-to-county, tract-to-tract, and
MCD-to-MCD. I’ve shared my Vermont code on my GIST GITHUB. I screwed up
yesterday, and had the other scripts in “secret” mode. Oops, sorry. I’ve
made the correction.
https://gist.github.com/chuckpurvis
There are 14 counties in Vermont, 184 census tracts, and 255 MCDs (towns)
in Vermont. The 255 MCDs are “wall-to-wall” coverage of the entire state
(i.e., no lingering unincorporated “balance of county” areas.) I was
surprised that there are fewer census tracts than MCDs in Vermont, but I
had some notion that the MCD-to-MCD flow data could be quite valuable (in
certain states!)
According to the CTPPr documentation, probably the official CTPP
documentation, as well, there are MCD-to-MCD commuter flows for the twelve
“strong MCD” states.
From some random US Treasury document:
*"Since the government services provided by MCDs differ greatly by state,
the Census Bureau refers totwelve states with MCDs that generally provide a
wide range of general government services as “strong-MCD” states. In these
states, MCDs are generally are treated as municipalities according to state
statutesand codes. In eight other states, MCDs typically play less of a
governmental role and provide more limitedgovernment services, even though
they are still active governments (“weak-MCD” states). The twelvestrong-MCD
states are Connecticut, Maine, Massachusetts, Michigan, Minnesota, New
Hampshire, NewJersey, New York, Pennsylvania, Rhode Island, Vermont, and
Wisconsin. The eight weak-MCD states areIllinois, Indiana, Kansas,
Missouri, Nebraska, North Dakota, Ohio, and South Dakota."*
Here are the highlights of this Vermont test case:
*Total Workers, Intra-State, Vermont:*
*County-to-County = 298,422 total workers*
*MCD-to-MCD = 299,415 total workers*
*tract-to-tract = 214,970 total workers.*
The county-to-county and MCD-to-MCD totals for Vermont should be very,
very close, since they both have the “standard allocation procedures” that
the Census Bureau uses to impute missing workplace to the county and place
level. I’m pretty sure the difference between county-to-county and
MCD-to-MCD is rounding issues? Can never tell.
The tract-to-tract file does not have the standard allocation procedures
applied: it’s the raw data, rounded of course. If I were Vermont, I’d stick
with MCD-to-MCD flows as the best bet for controls. Adjust/factor any of
the TAZ-to-TAZ flow data to MCD-to-MCD.
Happy Ides of March,
Chuck Purvis
Hayward, California
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