How would this compare with using LEHD?
Thanks,
Bob
*Robert Shull, PE PresidentEco Resource Management Systems Inc.PO Box
1850Vashon, WA 98070206.414.8751 rshull(a)transportmodeler.com
<rshull(a)transportmodeler.com>*
On Fri, Jan 24, 2014 at 8:37 AM, <Elaine.Murakami(a)dot.gov> wrote:
I didn't manage to send my response last night. I
suggest you use the
ACS PUMS
To run a 4-way cross tab of industry and occupation by age and sex. The
geography is limited to residential geography at Puma level.
-----Original Message-----
*From: *Long, Liang CTR (FHWA)
*Sent: *Friday, January 24, 2014 11:28 AM Eastern Standard Time
*To: *ctpp-news(a)chrispy.net
*Cc: *u0719944(a)utah.edu; medicalgeography(a)yahoo.com; tyler.larson(a)utah.edu
*Subject: *Re: [CTPP] female daytime population
Hi, Steve
Your methodology is totally fine with me.
I wish we had the cross table of sex by age for workers for both Part 1
and Part 2, so you can get measures of female workers for 40 years up.
Liang
________________________________________
From: ctpp-news-bounces(a)chrispy.net [ctpp-news-bounces(a)chrispy.net] on
behalf of Steven Farber [Steven.Farber(a)geog.utah.edu]
Sent: Thursday, January 23, 2014 5:49 PM
To: ctpp-news(a)chrispy.net
Cc: SEAN CASEY REID; TYLER JOSEPH LARSON; Kevin A Henry (
medicalgeography(a)yahoo.com)
Subject: [CTPP] female daytime population
We are trying to come up with an estimate of adult “daytime” female
population for each census tract in Salt Lake City.
Intuitively, for a census tract, A, this estimate is: (the number of
women who have a workplace in A) plus (the number of women live in A) minus
(the number of working women who live in A).
From the 5-year CTPP, we will use tables A20211,
A101203, and A11600 for
the three terms in the above calculation. We will only
calculate the
measure for women 16 years and older (although ideally we’d like to have a
measure for just 40 years and up).
Can anyone from this list provide me with feedback about this methodology?
Are there any big issues that I need to be aware of? Is there a better way
to be doing this?
In the end, we would like a daytime measure of the female population in
order to calculate mammography accessibility metrics.
Many thanks for your comments.
Steve
Steven Farber, PhD
Assistant Professor
Department of Geography
University of Utah
http://stevenfarber.wordpress.com<http://stevenfarber.wordpress.com/>
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