Everyone has raised valid points in that ACS 5 Year Estimates are only samples and have a
high margin of error. However, with ACS replacing the long form, there seems to be no
other option for block group analyses. Am I right here?
Elaine - B17005 is not available at the block group level, at least from what I've
found. I used the Summary File Retrieval Tool which is an Excel macro and was unable to
obtain block group data for B17005 for any North Carolina county. This is of particular
concern, which raised my question of where to get this data (along with a few other
variables) since it appears NOT to be available at the block group level.
-----Original Message-----
From: Elaine.Murakami(a)dot.gov [mailto:Elaine.Murakami@dot.gov]
Sent: Thursday, April 07, 2011 12:58 PM
To: ctpp-news(a)chrispy.net
Subject: RE: [CTPP] [ctpp-news] Demographic Analysis for Block Groups -Decennial Census
vs. ACS 5 Year Estimates
1. Multi-year accumulations instead of "point-in-time" data collection.
I am guessing that Megan is concerned that the ACS requires multiple years (actually 60
months of survey data) before tabulation for small geography. Yes, with the
implementation of the ACS, the Census Bureau made a big trade off for currency of large
geographic reporting (annual for areas with 65,000 population or more), and a long period
of
collection for small area (tracts and block groups). When so many
things are volatile, like gasoline prices, housing prices, and unemployment, it makes the
5-year accumulation problematic.
For example, when gasoline prices rose to over $4/gallon in 2008, travel mode to work did
change somewhat, with more people using transit.
http://www.eia.doe.gov/oil_gas/petroleum/data_publications/wrgp/mogas_ho
me_page.html (I know, because my bus ride became very crowded! But now that prices are
heading that high again, maybe because it has been more gradual and not a spike, I
don't see increased demand on my bus).
I have heard some people say that they would prefer to go back to a point-in-time
estimate, but I don't think that it is realistic to think that the decennial
"long form" will come back.
2. B17005 : Poverty by Sex by Employment Status IS in the ACS 5-year data, Summary File
format only.
3. Cautions with using LEHD OTM. As with every dataset, the more you know about it, the
better off you are. LEHD OTM includes workers who are covered by unemployment insurance,
and excludes self-employed (approx 10% of workers). Currently, federal workers including
military are not included, and also state workers and school district employees have often
found to be mis-located, particularly to state capitols (for state workers), and school
district headquarters for school employees.
Also, it is important to understand that the link between home and work location is the
result of a data synthesis process to assign workers to a home location using a
distribution algorithm based on records from Minnesota, because in Minnesota, employers
are required to report the actual work location.
In an LEHD OTM webinar held last year, Robert McHaney discussed a parking study in
Austin.
http://lehd.did.census.gov/led/library/webinars.html
They looked at blocks that were outliers for employment densities, and found a regional
post office and a school district headquarters. After removing these 2 blocks the total
employment in the study area was reduced from 60,000 to 30,000.
4. I am interested in using alternative approaches to capture origin-destination
patterns, particularly things like cell phone tracking, RFID tags, stand-alone GPS (not
personal cell phone), BlueTooth tracking, etc. I co-chair a New Technology subcommittee
of the TRB Travel Survey Methods committee (ABJ40), where we often discuss these topics.
http://www.travelsurveymethods.org/Tech.asp
Elaine
-----Original Message-----
From: ctpp-news-bounces(a)chrispy.net
[mailto:ctpp-news-bounces@chrispy.net] On Behalf Of Cogburn, Megan S
Sent: Wednesday, April 06, 2011 12:58 PM
To: ctpp-news(a)chrispy.net
Subject: [CTPP] [ctpp-news] Demographic Analysis for Block Groups -Decennial Census vs.
ACS 5 Year Estimates
My name is Megan Cogburn and I am a Community Planner with the North Carolina Department
of Transportation. My group is a part of the Project Development and Environmental
Analysis branch and we are responsible for completing all of the NEPA documentation for
bridge and highway projects statewide. Specifically, we prepare technical reports
assessing potential project impacts on the human environment from the local/urban planning
perspective.
We currently use decennial Census data for our demographic analyses, however we are
thinking of switching to use American Community Survey data to make our reports more
current and since the American Community Survey has now replaced the traditional decennial
Census long-form.
However, it has come to our attention that ACS data is only available at the block group
level for 5 Year Estimates (and not annually). Moreover, certain tables that were
available for the 2000 Census are not available in the ACS 5 Year Estimates (such as
household type by relationship, sex by employment status, and poverty status). Another
glaring issue is that ACS 5 Year Estimates were just released in 2010, so there is no
previous data to make historical comparisons.
So, my question for the listserv is how other organizations are moving forward given the
discrepancies between the two datasets. My group is trying to figure out where to get
missing data, how to make historical comparisons, and also the best way to retrieve ACS
5-Year Estimates. A huge drawback for us is that we use block group data for multiple
variables and this is only available for the 5 year estimates. In order to retrieve
summary file data for block groups you have to use an Excel macro retrieval file that
takes an extremely long time, download a massive file from their FTP site, or use the not
so user friendly Data Ferret platform.
Please advise!
Megan Cogburn, MCRP
Community Planner | Human Environment Unit NCDOT Project Development & Environmental
Analysis
e: mscogburn(a)ncdot.gov
p: (919) 707-6062
f: (919) 212-5785
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