Laserfiche WebLink
<br /> <br />21 <br />3 INCOME SEGREGATION I N CITY OF PLEASANTON <br />Definition of Terms - Income Groups <br />When analyzing segregation by income, this report uses income group <br />designations consistent with the Regional Housing Needs Allocation and <br />the Housing Element: <br />Very low-income: individuals earning less than 50% of Area Median <br />Income (AMI) <br />Low-income: individuals earning 50%-80% of AMI <br />Moderate-income: individuals earning 80%-120% of AMI <br />Above moderate-income: individuals earning 120% or more of AMI <br />Additionally, this report uses the term “lower-income” to refer to all people <br />who earn less than 80% of AMI, which includes both low-income and very <br />low-income individuals. <br />The income groups described above are based on U.S. Department of <br />Housing and Urban Development (HUD) calculations for AMI. HUD <br />calculates the AMI for different metropolitan areas, and the nine county <br />Bay Area includes the following metropolitan areas: Napa Metro Area <br />(Napa County), Oakland-Fremont Metro Area (Alameda and Contra <br />Costa Counties), San Francisco Metro Area (Marin, San Francisco, and <br />San Mateo Counties), San Jose-Sunnyvale-Santa Clara Metro Area (Santa <br />Clara County), Santa Rosa Metro Area (Sonoma County), and Vallejo- <br />Fairfield Metro Area (Solano County). <br />The income categories used in this report are based on the AMI for the <br />HUD metro area where this jurisdiction is located. <br />3.1 Neighborhood Level Income Segregation (within Pleasanton) <br />Income segregation can be measured using similar indices as racial segregation. Income dot maps, <br />similar to the racial dot maps shown in Figures 1 and 5, are useful for visualizing segregation between <br />multiple income groups at the same time. The income dot map of Pleasanton in Figure 8 below offers a <br />visual representation of the spatial distribution of income groups within the jurisdiction. As with the <br />racial dot maps, when the dots show lack of a pattern or clustering, income segregation measures tend <br />to be lower, and conversely, when clusters are apparent, the segregation measures may be higher as <br />well.