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/>
>
>
> _______________________________________________
> ctpp-news mailing list
> ctpp-news(a)chrispy.net
> https://www.chrispy.net/mailman/listinfo/ctpp-news
>
> _______________________________________________
> ctpp-news mailing list
> ctpp-news(a)chrispy.net
> https://www.chrispy.net/mailman/listinfo/ctpp-news
>
>
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/>
_______________________________________________
ctpp-news mailing list
ctpp-news(a)chrispy.nethttps://www.chrispy.net/mailman/listinfo/ctpp-news
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/>
I hope you're going to aggregate those tracts into some larger areas,
because the margins of error on these estimates are going to be
astronomical. Most tracts have fairly low workplace numbers because they
are essentially residential and only have local businesses/schools/churches
providing employment. Tracts with really large employment counts often have
few residents, e.g. airports. Some tracts are low on both, e.g. large
parks. It also depends on how good a job the local area has done at
tracting and retracting every ten years.
Good luck.
Patty Becker
On Thu, Jan 23, 2014 at 5:49 PM, Steven Farber
<Steven.Farber(a)geog.utah.edu>wrote:
> 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
>
>
>
> _______________________________________________
> ctpp-news mailing list
> ctpp-news(a)chrispy.net
> https://www.chrispy.net/mailman/listinfo/ctpp-news
>
>
--
Patricia C. (Patty) Becker
APB Associates/Southeast Michigan Census Council (SEMCC)
28300 Franklin Rd, Southfield, MI 48034
office: 248-354-6520
home:248-355-2428
pbecker(a)umich.edu
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/>