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Pleasanton Development Impact Fee Nexus Study <br /> Draft Report 04/23/18 <br /> Service Population Calculations <br /> The DIF is predicated on calculations that translate the population and employment projections <br /> provided above into estimates of existing and future "service populations." The "service <br /> population," in turn, is derived from assumptions that compare residents and employees based <br /> on the relative service demands or typical service profiles of each. The service population <br /> calculations associated with facilities designed to serve both residential and nonresidential uses <br /> are based on the relationships summarized in Table 4. These calculations compare City <br /> residents and employees based on commute patterns and the estimated proportion of"working" <br /> hours spent within the City. After accounting for commute patterns, the typical worker is <br /> estimated to have a service burden of about 67 percent of the typical resident. <br /> Table 4 Daytime Population Employee Weight Estimate* <br /> Commute Patterns(1) Resident to Employee Equivalencies <br /> Service Population Category # Distribution Weight Weighted Avg. Normalized to 100% <br /> Pleasanton Residents <br /> Not in Labor Force 41,828 55% 100% 55% <br /> Employed in the City 5,767 8% 100% 8% <br /> Employed Outside of the City 28,321 37% 50% 19% <br /> Total Residents 75,916 100% 81% 100% <br /> Pleasanton Jobs <br /> Live in the City 5,767 10% 100% 10% <br /> Live Outside the City 53.424 90% 50% 45% <br /> Total Jobs 59,191 100% 55% 67% <br /> *Note: this table is based on 2015 data which is the latest year for which the detailed breakdown utilized <br /> in this analysis is available. <br /> (1)Based on data from On The Map 2015. <br /> Sources:On The Map 2013,Department of Finance,and Economic&Planning Systems,Inc. <br /> Based on the projections and relationships described above EPS has derived future population, <br /> employment and service population projections for Pleasanton at buildout, as summarized in <br /> Table 5. As shown, the City's service population is projected to grow by 17 percent by build- <br /> out. This percentage increase in growth is an important factored use to allocate costs between <br /> existing and new growth in this study. <br /> Economic& Planning Systems, Inc. 7 P:1151000s\151111PleasantonFee\Report1151111_FeeNexus_042318.docx <br />