Laserfiche WebLink
Attachment 1 <br />Scope of Work <br />Our anticipated process is described below. Please note that while our efforts are grouped by task, we <br />anticipate this will be a dynamic process, with each task supporting and feeding Into the other until all <br />tasks have been completed. We look forward to the opportunity to work with staff to refine this approach <br />as needed. <br />Task 1: ,Jobs /Housing Balance Assessment <br />We expect this to be a very revealing and Important pat of the BDSP process, and suggest that it will be <br />at the forefront of our research for the City. <br />1, The first part of this assessment Will focus on .traffic commute patterns from the .US Census to <br />understand the basic shifts in the daytime and. nlghttima population: where residents go to work, and <br />where employees are living. At a minimum, this will help to better define the daytime population <br />served by the City, but also illustrate where how job centers eligrtWth residehoy patterns. <br />2. RSG will next evaluate the types of employment offered within the city, Depending on the data and <br />methodology available through business licenses, RSG may be able tp look at this Information within <br />certain quadrants of Santa Ana through GIS, as well as the plty as a whole utilizing State and Federal <br />data, <br />3. Key industries in the city will be analyzed for trending patterns and clustering to identifywhere the city <br />may be gaining or losing a competitive edge, and begin to identify where city efforts may Work in <br />concert with economic drivers to encourage job growth and retention. <br />4. Income levels associated with employment industries, both for those that commute out of and Into <br />Santa Ana will be used, in part, to frame the types of housing needed to accommodate the <br />population. A limited sample analysis is shown below„ utilizing only population demographics and <br />limited research on available housing costs. The table essentially identifies the types of housing <br />affordable to the various Income groups living In the city, should they head to relocate today. <br />Santa Ana Housing product AffordabUIN <br />MAI M.S.. Mahal V V V <br />Yabla rapads affaudabigly pe Mc4Aa ayollobla In Odabr 2014 only. nct nac¢saanly assud,pMamncea <br />Income Rang.' <br />'4HH <br />2014 <br />%HH <br />20141 <br />Ylncome <br />to Housing <br />$upportabla Monthly <br />HoOphucCosts <br />Cugent Product <br />Affordable' to Income Grou, 2 <br />Rent <br />$ . 15,000 <br />7,151 <br />9.69% <br />36% <br />It =4W <br />None <br />$ 16,000 - 24,999 <br />6,521 <br />6.74% <br />35% <br />$ 438 729 <br />Nana <br />$ 25,000 . 34,099 <br />61795 <br />11.79% <br />99% <br />$ 728 - 1021 <br />Some studio and l bedroom sails <br />$ 35,000 '• 49,990 <br />12,732. <br />17.07% <br />35% <br />$ 4,021 1,460 <br />Many studio andi bedroom options for rental ancientness; some 2 <br />hedmom options forrentaf <br />$ 60,000 - 74,999 <br />14,917 <br />20,00% <br />35% <br />$ 1,468 2,167 <br />Marry native Was to 2 bedrocm renal or purchase; some options <br />far to 3 <br />up bedroom purchase (apadments or condos) <br />' y} <br />$ 75,000 - 99,999 <br />9,749 <br />13.07% <br />33% <br />$ 2063 - 21750 <br />Almost any apron ran rental; many options far up to 3 bedroom <br />purchase (all housing types <br />$100,000 148,099 <br />10,193 <br />13,07 ° /,' <br />.33% <br />$2,750 - 4,125 <br />Any rentah Many optima for ownership <br />2 150,0017 - 199,999 <br />2,472 <br />3.31% <br />30% <br />$ 3,700 - 5,000 <br />Any rental; Almost pay m1lon far purchase <br />Mart a e <br />$ 200,006 + <br />2054 <br />2.75% <br />30% <br />$ 6,000 f <br />A prodOCl <br />MAI M.S.. Mahal V V V <br />Yabla rapads affaudabigly pe Mc4Aa ayollobla In Odabr 2014 only. nct nac¢saanly assud,pMamncea <br />