Workforce and Education 2011 Workforce and Education Report 2011 SONOMA COUNTY
Table of Contents 1 Executive Summary Workforce 2 Employment 3 Sector Employment 4 Workforce Projections 5 Industry Growth 6 Housing 7 Demographics Education 8 High School 9 High School Testing 10 Post-Secondary Preparation 11 English Learners 12 Community College 13 Local Workforce Efforts 14 Methodology & Sources
2011 Workforce and Education Report December 2011 The Economic Development Board (EDB), in partnership with the Workforce Investment Board, is pleased to bring you the 2011 Workforce & Education Report. Highlights from this Local Economic Report include: Falling home prices in have made housing more affordable for county residents. In the first quarter of 2006 only 9% of county residents could afford a median-priced home. By the fourth quarter of 2010, that number had risen to 45%. Employment in has decreased dramatically since its peak of 190,545 in the fourth quarter of 2008. Since then, employment has decreased by 10.3% to 168,466, a difference of 22,079 jobs. The labor market will demand an increasingly skilled and educated workforce as the economy emerges from recession. While educational performance ranks favorably against comparable regions in some metrics, educational trends show that there is still room for improvements. This annual assessment of our region s economic progress is meant to help guide discussions by local business, government, community and workforce leaders regarding strategies for shaping our region s economic future. The EDB encourages readers to explore these issues further by contacting the agencies and organizations cited throughout this report, and by visiting the EDB s website,. The Economic Development Board is committed to working with our partners to take the actions necessary to build on our strengths and to address our deficiencies to improve economic opportunities and quality of life for all residents. Sincerely, Ben Stone Executive Director Sononoma Economic Development Board Karen Fies Director of Employment & Training Human Services Department Board of Directors Pam Chanter, Chair, Joe Orlando, Vice Chair, Libby Harvey Fitzgerald, Melanie Bagby, Mark Inman, Lina Kachiu, Peter O Brien, Michael Tomasini, Marcos Surez, John Webley
Workforce: Employment Total Employment Total employment measures the number of people hired by firms within. Employment has decreased dramatically since its peak of 190,545 in quarter 4 of 2007. Since then, employment has decreased by 10.3% to 168,466. This is a difference of 22,079 jobs. Unemployment unemployment reached its lowest rate in the past decade during the fourth quarter of 2006 (3.9%). Since then, unemployment has steadily increased to 10.2% in quarter 4 2010. has consistently had an unemployment rate below the average (12.4), but it is currently above the national average (9.6%). This data has been seasonally adjusted. Workforce History Three-year estimates by the U.S. Census bureau indicate that 31.1% of residents worked less than full-time and 29.9% did not work, compared to 27.2% and 31.9% in, respectively. The percent of population that was employed full-time is similar in both and at 38.9% and 40.8%. 15.0% 12.0% 9.0% 6.0% Seasonally Adjusted Unemployment Rates, 2004-2010 US Q4 2010:10.2% 3.0% 04 05 06 07 08 09 10 Source: Employment Development Department (www.edd.ca.gov), 2011 Work History Estimates, 2007-2009 Seasonally Adjusted Non-farm Employment, 2004-2010 (Thousands) 50% 195 Q1 Q2 Q3 Q4 40% 38.9% 40.8% 30% 31.1% 27.2% 29.9% 31.9% 180 20% Q4 2010: 168,466 0% Worked FT*/ Year-round *FT = Full-time employment Source: U.S. Census Bureau (www.census.gov) Worked less than FT/ Year-round Did not work in the past 12 months 2 165 04 05 06 07 08 09 10 Source: Employment Development Department (www.edd.ca.gov), 2011
Workforce: Sector Employment Cluster Employment Between 2008 and 2010, employment declined in every sector except for educational and health services, professional and business services and leisure and hospitality. However, the annual employment from grew in most sectors, excluding manufacturing, construction, and retail trade sectors, from 2000 to 2009. Selected Sector Employment The health care and social assistance, manufacturing, and retail trade sectors represent a greater percentage of employment in than the average. Professional business services, wholesale trade, and administrative, support, and waste employment sectors are a smaller percentage of employment in than the average. Median Hourly Wages Median hourly wage compares the income of middle earning employees in various sectors. The median wage for many of s growing occupations, such as professional services, is higher than in 2009. General Managers receive the highest median wage of $52 dollars an hour. 35,000 30,000 25,000 20,000 15,000 10,000 5,000 Employment in Selected Clusters, 2000-2010 00 01 02 03 04 05 06 07 08 09 10 Government & Public Education Educational & Health Services Professional & Business Services Construction Retail Trade Manufacturing Leisure and Hospitality Farm Source, All: Employment Development Department (www.edd.ca.gov) Median Hourly Wage for Selected Occupation Clusters, 2010 Selected Sector Employment, 2010 Agriculture, Forestry, Fishing and Hunting 3.49% $60 Finance Activities 4.0% $50 $40 $30 $40.45 $46.61 $51.98 Administrative, Support, and Waste Wholesale Trade Construction 4.63% 4.76% 6.58% Prof./Bus. Services 6.91% $20 Accommodation and Food Services 10.6% $10 Retail Trade 13.2% $0 Food Services General Sales Production Manufacturing Office & Administrative Support Community & Social Services Arts, Design, Entertainment and Media Construction and Extraction Occupations Education, Training, & Library Business and Financial Operations Architecture & Engineering Health Care Practitioners & Technicians General Manager Computer & Mathematics Legal Manufacturing Healthcare and Social Assistance 13.5% 0 4.0% 8.0% 12.0% 16.0% Percent of Total Employment 14.4% 3
Workforce: Workforce Projections 5-Year Cluster Employment Growth Projections Moody s Economy.com 5-year employment growth forecasts for s employment indicate that all clusters are expected to increase from 2011 to 2016. Creative professional services and construction and green services are estimated to have the highest growth rates (3.4% and 2.2%, respectively). As a whole, these clusters are projected to account for 60.4% of total employment in. Over this period, total employment is expected to at a compound annual annualized rate of 1.9%. Forecasted Employment by Cluster, Compounded Annual Growth Rate, 2011-2016 Agriculture, Food & Wine Retail Trade Wholesale Trade 0.2% 0.4% 1.2% Fastest-Growing Occupations Among the fastest-growing occupations based on employment, are personal and home care aides, registered nurses, and waiters and waitresses. Food service occupations tend to have high turnover rates, which could contribute to thehigh number of jobs available in those sectors. The broad variety of growing occupations is indicative of the variety of businesses utilizing s workforce. Wealth Management Tourism Technology Producing Industries Health and Wellness 1.4% 2.2% 2.5% 3.2% 5-Year Cluster Output Projections Moody s Economy.com 5-year output growth projections predict strong growth in all of s clusters. These clusters are projected to account for 57.3% of all s output in 2016. Over this period, total output is expected to grow at a compound annualized rate of 5.1%. Construction & Green Services Creative Professional Services 3.3% 3.4% 0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% Source: Moody s Economy.com, An Economic Outlook for, 2011 (www.edb.org) Forecaster Output by Cluster, Compounded Annual Growth Rate, 2011-2016 s Fastest Growing Occupations 2008-2018 Agriculture, Food & Wine Wealth Management 2.9% 3.3% Supervisors/Managers of Food Preparation & Serving Workers Home Health Aids 1,530 1,640 Health and Wellness Construction & Green Services Retail Trade 4.6% 4.8% 5.3% Medical Secretaries Cooks, Including Fast Food & Restaurants 1,800 3,210 Tourism 5.7% Combined Food Preparation & Serving Workers 4,200 Creative Professional Services 6.3% Waiters & Waitresses 4,350 Wholesale Trade 6.5% Registered Nurses 4,430 Technology Producing Industries 7.7% 0% 1% 2% 3% 4% 5% 6% 7% 8% Personal & Home Care Aids 5,950 14.4% 0 1000 2000 3000 4000 5000 6000 Number of Job Openings Source: Moody seconomy.com, An Economic Outlook for, 2011 (www.edb.org) Source: Employment Development Department (www.edd.ca.gov) 4
Workforce: Sector Employment Industries with Highest Employment & Concentration of Workers Ages 55+ Industries with the highest employment of workers aged 55 and above indicates those industries that will be most likely to seek large quantities of replacement employment in the coming decades. The healthcare and social assistance industry currently has nearly 6,000 employees nearing retirement age, and there is a large concentration of older workers in the retail trade (25%) and manufacturing (20.2%) industries. Employment Growth, Concentration, & Annual Pay by Cluster The graph measures the relative size of s largest workforce sectors (which comprise more than 85% of the county s total employment), as well as 10-year cluster growth rates and average annual pay. The graph demonstrates where employment is concentrated in and how compensation in those industries compare. With the exception of leisure and hospitality, our growing clusters pay above-average wages, a positive trend that has the potential to increase average pay over time. Number of Employees, Ages 55+ 6000 5000 4000 3000 2000 1000 0 1332 Wholesale Trade Highest Employment of Workers Ages 55+, Q2 2010 Number of Employees, 55+ (left axis) 18.76% 1436 Construction 16.18% 1702 11.24% Accommodations & Food Services 1840 19.08% Other Services 2370 Retail Trade 24.57% % of Industry 55+ (right axis) 3188 17.23% Professional Services 3879 20.17% Manufacturing 5069 24.36% Health Care & Social Assistance 25% 20% 15% 5% 0% Percent of Industry Employment Ages 55+ Source: U.S. Census Bureau Longitudinal Employer-Household Dynamics (lehd.did.census.gov) Employment Growth, Concentration, and Annual Pay by Cluster, 2000-2010 10-year Employment Growth by Cluster -40% -30% -20% - 0 10 20% 30% 40% 2010 Average Annual Pay: $44,200 Leisure & Hospitality Farming Retail Trade Construction Education & Health Services Professional & Business Services Manufacturing $10,000 $20,000 $30,000 $40,000 $50,000 $60,000 $70,000 Increasing number of jobs, but belowaverage wages Declining number of jobs and belowaverage wages How to read this chart : Increasing number of jobs and aboveaverage wages Declining number of jobs, but aboveaverage wages Size of bubble represents concentration (percentage of total jobs) in major clusters Source: Bureau of Labor Statistics (www.bls.gov), Employment Development Department (www.edd.ca.gov) 5
Workforce: Housing Median Housing and Income Between 2008 and 2010, the median price of a home in decreased 15%. As the median price of homes in has dropped from its high in 2006, housing has become more affordable for many residents. In the 4th quarter of 2010, 45% of residents could afford to purchase a median-priced home. In the first quarter of 2006, only 9% of residents could afford a median-priced home. Household Purchasing Power Families making the median-family income for are not able to afford median-priced homes here. The median household income was $63,848 in in 2010, and the purchasing power, or the price of home they were able to afford, for that level of income was $196,466. This price is considerably less than the median-home price in. Southwest Santa Rosa had the lowest median-home price in the third quarter of 2010 at $241,590. Healdsburg had the highest median-home price for the same period at $786,000. $350 $300 $250 $200 $150 $100 Purchasing Power of Annual Median Income, 2010 Median Household Income Price of Home Available at this Income Median Sales Price 196,466 315,000 Median Home Price Comparison When compared to peer counties, only Napa had a lower median-home price in 2010. s home prices, compared to peer regions, suggest that employers in may now have an advantage in retaining or attracting high-quality workers over other similar communities. $50 $0 63,848 Sources: Association of Realtors, Census, U.S. Department of Housing and Urban Development, Bay Area Real Estate Information Services $700 Median Home Price, 2010 (Thousands of Dollars) 70 Home Buyer Affordability Index, 2010 $600 56 $500 42 $400 $300 $315 5.3% 5.7% 28 41.0 3,210 4,200 10.6% $200 6.3% 14 4,350 13.2% $100 6.5% 4,430 13.5% $0 Napa Ventura Santa Barbara Source: Association of Realtors (www.car.org) Santa Cruz 7.7% Marin 0 Marin Santa Cruz SF Bay Area San Luis Obispo Northern Wine Country *Note: Q4 Percent able to afford median-priced home Source: Association of Realtors (www.car.org) Monterey Region Northern 5,950 United States 6
Workforce: Demographics Population Projections Between 2010 and 2050, the age composition of is projected to change significantly. The 35-54 age group comprises people in the middle of their career, and is the bulk of the working-age population. In the year 2010, residents between 35-54 were estimated to make up 26% of the total population in ; by 2050, they will make up only 21%. In contrast, as the middle-aged population shrinks, will be getting both older and younger. The 65+ age group is projected to increase from 12% in 2010 to 16% by 2050. Similarly, the youth population under the age of 15 is expected to grow 19% to 24%. Race-Ethnicity Projections and Distribution The race-ethnic composition of is also projected to change significantly over coming decades. The percentage of residents identifying as white is expected to decrease 8% every decade until 2050, while the percentage of residents identifying as Hispanic is \expected to increase around 7% per decade. Age Distribution, 2010-2050 2010 (Est.) 2050 (Est.) Percent Change 65+ 55-64 45-54 35-44 25-34 15-24 5-14 12% 14% 15% 11% 13% 14% 13% 16% 9% 11% 14% 15% 16% 23% -36% -37% 0% 8% 7% 23% 0-4 6% 8% 33% Population by Race-Ethnicity in 2010-2050 1.6% 1% 2.3% 2% 1% 3% By 2050, the Hispanic population is expected to become 51 percent of the population. Currently, about 70% of the Hispanic population is under the age of 35. In contrast, more than 60% of the White population is over the age of 35. 5% 24% 66% 66% 51% 34% White Hispanic Asian/ Pacific Islander Multi-Race Black American Indian Source, All: Educational Demographics Unit, CA Department of Education Age Distribution of White and Hispanic Population, 2010 Hispanic White 25% 25.0% 8% 20% 15% 5% 0 4.0% 13.0% 10.0% 14.0% 16.0% 11.0% 15.0% 11.0% 13.0% 17.0% 9.0% 17.0% 5.0% 8.0% 2.0% 5.0% 2.0% 2.0% 1.0% 0-4 5-14 15-24 25-34 35-44 45-54 55-64 65-74 75-84 85+ 7 Projected Decrease of White Population per Decade 7% Projected Increase of Hispanic Population per Decade
27 Education: High School Class Size Small class sizes show substantial advantages in student achievement and success. During the 2009 school year, the average class size for students taking math was 24.8 (down from 24.9 in 2008), 26.8 for science (down from 27.4), 27 for social science (down from 27.7), and 23.9 for English (down from 24.9). s average class sizes for core subjects such as English, Math, Science, Social Science have been consistently smaller than the state averages. Among comparable counties, only Marin s class sized averages are below in every area. 35 30 25 20 15 Average Classroom Size in Selected Subjects 2008-2009 23.9 24.8 26.8 High School Completion Approximately 4,500 students completed high school in the 2008-2009 school year. This figure indicates that 26% of students who registered for 9th grade in the 05-06 year did not complete high school in. It also indicates that 20% of the class who enrolled in their senior year in 2008-2009 did not complete high school in. 10 0 English Math Science Social Science Marin Monterey Napa Santa Cruz Ventura Drop Rate s adjusted dropout rate in the 2008-2009 school year (21.7%) was slightly above than that of the average (21.5%). Compared to peer counties, s dropout rate is the highest. In previous years, has consistently had a dropout rate lower than the average. Students who drop out of high school are significantly less likely to obtain stable employment with an income capable of sustaining the cost of living in. Roughly one-fourth of the students that enter the 9th grade in the school district will not graduate with a diploma in four years. Source, All: Educational Demographics Unit, CA Department of Education 2008-2009 Napa Country Marin Santa Cruz Monterey Ventura Class Size by Subject &, 2008-2009 English Math Science 23.9 22.9 22.4 25.9 25.9 26.7 25.5 24.8 25.1 23.2 36.6 27.1 27.6 27.1 26.8 27.1 25.5 29 28.2 30.9 29.1 Social Science 27 27.4 25.2 28.1 28.5 30.8 29 25% Adjusted Grade 9-12 Four Year Derived Drop-Out Rate, 2008-2009 High School Completion Class of 2009 20% 15% 14.7% 18.4% 19.1% 20.4% 21.5% 21.7% 7000 6000 5000 4000 6,089 5,657 4,500 }26% 3000 7.7% 2000 5% 1000 0 Marin Ventura Santa Cruz Monterey Napa 0 Enrollment 9th Grade ( 05-06) Enrollment 12th Grade ( 08-09) Graduates ( 09) 8
Education: High School Testing Testing Trends All public school students are required to pass the High School Exit Exam in order to earn a high school diploma. exceeded the statewide high school exit exam pass rate in both Math and English/Language Arts in the 2009-2010 school year, however, significant achievement gaps exist between ethnic groups. The overall pass rate for was 85 percent in both subjects, 4 percentage points higher than the average. 100% 90% 80% 70% Exit Exam Pass Rates by Ethnicity, 2009-2010, 10th Grade 75% 74% 75% 81% 92% 91% 93% 93% District Performance Measures The Academic Performance Index (API) measures the academic performance and growth of schools based on several academic measures. High schools in had an overall average API score of 767 in 2010. The API target for high schools is 800. All districts in have seen improvement in API scores from 2008-2010. However, out of all the high school districts in, only Petaluma averaged the target API score of 800. 60% 50% 40% 30% 20% 58% 54% 0% English Learners Hispanic Black Asian White Math English Source, All: Educational Demographics Unit, CA Department of Education API Scores 2008-2010 800 2008 2009 2010 790 800 780 770 760 779 766 772 770 761 779 750 740 730 733 739 720 710 700 Valley Unified Roseland Charter Cloverdale Unified Healdsburg Windsor Santa Rosa Cotati-Rohnert Park Unified West Union High Petaluma 9
21.62 13% 18% 19% 20% 24% 25% 26% 30% 33% 40% 23.93 24.01 Education: Post-Secondary Preparation College Readiness The average eligibility of high school students for UC/CSU college admission throughout the county increased from 17.1% in 2008 to 21.6% in 2009. The year 2008 marked the lowest average eligibility in the county over the past decade. has a smaller percent of graduates eligible for UC/CSU college admission than the average. 60% 50% 40% UC/CSU Eligible Graduates by Race, 2009 There are also obvious differences in UC/CSu eligibility by racial or ethnic identification at both the state and county level. 30% 20% Standardized Test Scores students averaged higher on the SATs (Scholastic Aptitude Test) than both the state and national averages. Of the counties used for comparison, only Marin had a higher average SAT score over the past three years. 0% Hispanic American Indian Black Filipino Other Pacific Islander Total White Asian With the exceptions of Roseland Elementary and Cloverdale districts, all of the school districts in have averaged above the and national average SAT scores for 2009. West and Santa Rosa City Schools had the highest SAT scores in the district for 2009. students average ACT (American College Test) scores averages remained relatively unchanged, but still well above state and national levels. They are also higher than all of competitive Counties in 2009. 25 24 23 22 21 20 21.10 Average ACT Scores by, 2006-2009 21.92 22.66 22.88 33.39 23.84 23.80 19 18 17 16 Source, All: Educational Demographics Unit, CA Department of Education 15 United States Monterey San Diego Santa Barbara Ventura 1750 Average SAT Score, 2008-2009 2009 2008 Average Total SAT Scores by School District, 2009 1750 1500 1601 1577 1500 1577 1250 1250 1000 Los Angeles United States Alameda Napa Marin 1000 Roseland Elementary Cloverdale Unified United States Cotati-Rohnert Park Unified Valley Unified Windsor Unified Healdsburg Unified Petaluma City Schools Santa Rosa City Schools West 10
Education: English Learners English Learners The percentage of English Language Learners (ELL) for the 2009-2010 academic year remained consistent with last year at 23.7% in. The percentage of English Language Learners in is now equal to the state average (23.7%) and is growing faster than the state average. In 2001, the percentage of English learners was 15.1%. The number of English learners has increased by nearly 60 percentage points over the past decade in. However, the number of students that have been redesignated from English Language learners has not had as significant of an increase. In fact, the percent of students who have been designated has only slowly increased since its low in 2005. ELL Students by District Roseland Elementary has the highest percent of English Language Learners (72.3%). This grew from 64.9% the previous year. Valley came is second with 33.7%. The majority of school districts in are below the county average with West Union High being the lowest at 2.8% Marin San Luis Obispo Napa English Learners as a Percent of Total Enrollment, 2009-2010 14.9% 15.9% 23.1% 23.7% 23.7% Santa Barbara 32.1% 0 5% 15% 20% 25% 30% 35% Source, All: Department of Education English Learners by District, 2009-2010 25% English Learners, 2001-2010 23.7% West 2.8% Petaluma Joint Union High 14.5% Cotati-Rohnert Park Unified 17.8% 20% English Language Learners Santa Rosa Unified 18.1% Student Redesignated Windsor Unified 18.7% 15% Cloverdale Unified 26.8% Healdsburg Unified 33.7% Valley Unified 37.4% Roseland Elementary 72.3% 0 10 20 30 40 50 60 70 80 5% 2001 2002 2003 2004 2005 2006 2007 2008 2009 8.6% 2010 11
Education: Community College Enrollment Demographics The total number of students enrolled in Santa Rosa Junior College totaled 57,025 for the 2009-2010 academic year, 6.6% below the previous year and down 11.0% since 2000. Of those enrolled in the 2009-2010 academic year, 55.5% are female and 42.5% are male. This coincides with national trends showing females are outpacing males in secondary education enrollment. Also of note, enrollment at Santa Rosa Junior College is projected to increase by more than 10,000 students (18%) over the next 9 years. As of the academic year 2008-2009, the majority of the students (61%) identified as white; however this number decreased over the past decade (70% in 2001). During the same period (2001-2009), the proportion of students identified as Hispanic grew from 12.9% to 18.6%. Enrollment by Age Forty-five percent of students enrolled for credit at the Santa Rosa Junior College are between ages 20 and 29. This increased from last year, when only 38.1% of those enrolled for credit were between these ages. Among non-credit enrollees, the majority of students enrolled at the Santa Rosa Junior College are over the age of 50. 70,000 65,000 60,000 55,000 64,338 Total Number of Students Enrolled 2001-2008* Actual Enrollment Projected Enrollment 57,025 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2013 2018 *Note: enrollment for 2013 and 2018 is projected. Santa Rosa Junior College Credit Enrollment By Race/ Ethnicity, 2009-2010 18.4% 9.9% 4.5% 3.0% 2.0% 1.7% 67,410 61.0% Hispanic Asian/ Pacific Islander Multi-racial White Unknown Black Other Source, All: SRJC Fact Book 2010. Office of Institutional Research (www.santarosa.edu). Santa Rosa Junior College by Age, Credit Students, 2009-2010 Santa Rosa Junior College by Age, Non-Credit Students, 2009-2010 19.4% 13.7% 9.3% 1.66% 53.7% 8.9% 3.3% 55.9% 19.1% 14.9% <20 yrs 20-29 yrs 30-39 yrs 40-49 yrs 50+ yrs <20 yrs 20-29 yrs 30-39 yrs 40-49 yrs 50+ yrs 12
Local Workforce Efforts Workforce Investment Board In an effort to strengthen s workforce competitiveness in an ever evolving economy, s Workforce Investment Board has undertaken several endeavors to facilitate the connection between a capable workforce and employer needs. Here are a few projects the WIB has been working on this year: In 2010 the Workforce Investment Board (WIB) along with Marin, Solano, and Napa WIB s were the recipient of a Clean Energy Workforce Training Program (CCEWTP) grant which ran through June 2011. The emphasis of the grant was workforce development and training to assist unemployed or underemployed construction workers, enter career pathways in the green building industry. enrolled 278 participants to receive training for Build it Green - Certified Green Building Professional, Lighting Design, HERS I, HERS II, and other clean/green certifications. The 234 participants who completed training attained 539 recognized certifications or degrees. In response to increase demand for immediate and easily accessible employment services, the Workforce Investment Board s Job Link launched its Virtual One Stop. This is an online service that allows job seekers to create a resume, apply for available job openings in and beyond, and employers to search resumes, post job openings, and access labor market information. By April of 2011, over 1,200 people used this service and were referred to nearly 900 job openings. The Youth Ecology Corps (formerly known as the Summer Jobs program), has kick off its third year of providing paid job experience for low income youth ages 14-21. Funding for the program has been provided by the Workforce Investment Act, Water Agency, the Fish & Wildlife Commission, the Agricultural Preservation and Open Space District, and the Miranda Lux Foundation. This year s program will provide approximately 200 youth with a paid job this summer. With the collaboration of local businesses, community-based organizations, and government entities, the Workforce Investment continues to successfully serve s workforce. Scott Kincaid, Chair Workforce Investment Board Karen Fies, Director Employment and Training Human Service Department 13
Methodology and Sources s and Macro Drivers Methodology The 2011 Workforce and Education Report is a product of the Economic Development Board (EDB) and the Workforce Investment Board (WIB). This report incorporates information on workforce and education trends in as well as some brief statistics on housing and population demographics. This report offers composite representations of raw data and cite respective source data sets. For more information, please see the listed sources. Interested readers are encouraged to contact data source agencies or organizations for further research or visit our website. Readers are also invited to suggest improvements for future reports by calling (707) 565-7170 or e-mailing edb@sonoma-county.org. Sources This report includes data from various agencies. Below is a list of those agencies and companies. Bay Area Real Estate Information Services, Inc. Association of Realtors Department of Education Department of Finance Employment Development Department Empire College Moody s Analytics Santa Rosa Junior College State University Economic Development Board UCLA Health Interview Survey United States Bureau of the Census United States Bureau of Labor Statistics Workforce Investment Board Acknowledgements The 2011 Workforce and Education Report was compiled, anyalized, and edited by Economic Development Board project coordinators, Loren Lopez, Lauren Ward & Afroz Baig. A special thanks to the Workforce Investment Board for provide additional information of local efforts in. 14
With Acknowledgment and Appreciation to Local Key Businesses Supporting Economic Development: Director Executive Sponsor SONOMA CALIFORNIA RE PUB LIC A G R I C U LT U R E I N D U S T R Y R E C R E A T I O N COUNTY of General Services, Real Estate Division of Board of Supervisors Health Services Transportation & Public Works