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Santa Ana has extensive networks of formal and informal agreements and joint activities with <br />each of the area's other two WIBs: Orange County and Anaheim. The geography of the area <br />makes that imperative and provides opportunities for regional collaboration. <br />• Labor Mobility. The disparity between per capita and household income suggests that <br />in an average Santa Ana household over three earners generate income. The U.S. <br />Bureau of the Census also tells us that the average commute time to a job is significantly <br />greater than the time required to drive across Santa Ana. Finally, we note that there are <br />not enough industries in Santa Ana to employ the population that works and that <br />nearby cities engaged in tourism and other activities are growing far more rapidly than <br />Santa Ana. In fact Irvine has been one of the fastest growing cities in the nation for a <br />long period of time. All this suggests that Santa Ana is a labor supplier for the cities that <br />surround it. Hence, a key fact of life is that many of those who are trained and educated <br />in Santa Ana and use Santa Ana employment and social services, will work in the area <br />around it. <br />According to the 2010 Census, the five regional players surrounding Santa Ana support <br />an aggregate population of 356,963, slightly larger than the population of Santa Ana <br />itself. Within this population, 48.6% are Hispanic and 39.6% are Asian American. The <br />African American population is very small throughout this region of Orange County. The <br />percentage of Latinos is smaller than that of Santa Ana. However, like Santa Ana, this <br />region's percentage of Latino population is well above the average for California, about <br />25% larger. Other statistics, such as poverty rates, are about the same, except for <br />average household income, which is slightly above the California median at $63,000. <br />• Emerging Economic Trends. In the plan, we utilize several theoretical constructs and <br />data sources that illuminate regional labor trends. We have outlined the ones we use in <br />the plan. <br />One of the most important ways to measure regional economic trends is to understand <br />where the most important industry clusters reside. Clusters represent particular <br />industry segments and technologies and the supporting industries and services that <br />surround and nurture them. Clusters provide a measurable theoretical structure for <br />regionalism. Of the many definitions of clusters, the most up -to -date is that of the EDA <br />(Department of Commerce Economic Development Administration), based on the <br />research of Harvard Business School's Institute for Strategy and Competitiveness and <br />ultimately on the theoretical frameworks of Michael Porter. <br />Trends associated with the development of labor can be found in the most recent <br />statistical analyses and projections of the U.S. Bureaus of Labor Statistics and Census, <br />and the State Employment Development Department (EDD), plus economic forecasts by <br />California State Fullerton (CSUF), UCLA, the Los Angeles Economic Development <br />Corporation (LAEDC), and others. <br />These analytic and forecasting entities offer broad scale definitions of economic regions, <br />often referred to by the Census term MSA (Metropolitan Statistical Area). Sometimes <br />these regions group Orange County or north Orange County together, sometimes they <br />include Long Beach and other regions of northern Los Angeles County. Such sources are <br />7 <br />19F -11 <br />