My WebLink
|
Help
|
About
|
Sign Out
RES 2024077
City of Pleasanton
>
CITY CLERK
>
RESOLUTIONS
>
2020-present
>
2024
>
RES 2024077
Metadata
Thumbnails
Annotations
Entry Properties
Last modified
1/27/2025 12:42:42 PM
Creation date
1/27/2025 12:42:13 PM
Metadata
Fields
Template:
CITY CLERK
CITY CLERK - TYPE
RESOLUTIONS
DOCUMENT DATE
12/17/2024
DESTRUCT DATE
PERMANENT
There are no annotations on this page.
Document management portal powered by Laserfiche WebLink 9 © 1998-2015
Laserfiche.
All rights reserved.
/
112
PDF
Print
Pages to print
Enter page numbers and/or page ranges separated by commas. For example, 1,3,5-12.
After downloading, print the document using a PDF reader (e.g. Adobe Reader).
View images
View plain text
Pleasanton Comprehensive Fee Update and Nexus Study November 2024 <br /> Table 4 Forecasted Service Population Estimate <br /> Item Existing' Buildout2 Net New <br /> # % # % # <br /> Employment Status of Pleasanton <br /> Residents' <br /> Not in Labor Force 41,149 53.8% 51,881 <br /> Employed in the City 5,007 6.5% 6,313 <br /> Employed Outside of the City 30,303 39.6% 38,206 <br /> Total Residents 76,459 100.0% 96,400 19,941 26% <br /> Residence Status of Pleasanton <br /> Employees <br /> Live in the City 5,007 9.0% 11,562 <br /> Live Outside the City 50,643 91.0% 116,948 <br /> Total Jobs 55,650 100.0% 128,510 72,860 131% <br /> Service Population Calculation3 <br /> Amount Attributable to Residents (@ 100%) 76,459 77.0% 96,400 75.0% 19,941 68.4% <br /> Amount Attributable to Employees (@ 41.1%) 22,884 23.0% 32,110 25.0% 9,225 31.6% <br /> Total Service Population 99,343 100.0% 128,510 100.0% 29,167 100.0% <br /> Service Population Growth as%Build-out Service Population 22.7%l <br /> (1)Existing Resident and Job totals per Table 3,percent distributions per Table 2. <br /> (2)Resident and Job totals per Table 3.Composition based on existing <br /> (3)Amount attributable to Employees per Table 2. <br /> Sources:LEND OnTheMap 2021,Department of Finance,and Economic&Planning Systems,Inc. <br /> Population and Employment Density Assumptions <br /> In addition to the demographic calculations described above, the DIF utilizes assumptions <br /> related to population and employment densities by land use type. Specifically, DIF <br /> improvement cost estimates per capita or per job are converted to fee rates per unit or <br /> square foot based on average persons per household and square foot per employee <br /> factors. Note that for methodological simplicity, EPS first calculates all residential fees on <br /> a per unit basis (i.e., per single family and multi-family) and then converts the fee to per <br /> square foot based on data on typical housing unit sizes. Single Family units include single <br /> family detached and townhome units, therefore the average size is less than the typical <br /> single family detached home. These assumptions are summarized in Table 5 and rely on <br /> data from the U.S. Census, CoStar, and the City of Pleasanton. <br /> The commercial linkage fee also uses these employment densities in order to estimate <br /> the number of employees generated by 100,000 square feet of development for each <br /> land use type. <br /> 13 <br />
The URL can be used to link to this page
Your browser does not support the video tag.