DRAFT - Monterey County, · PDF fileDRAFT . WHITE PAPER . ... 1990. Manufacturing has...

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DRAFT WHITE PAPER MONTEREY COUNTY LABOR FORCE: CURRENT TRENDS AND IMPLICATIONS FOR ECONOMIC DEVELOPMENT September 27, 2011 Monterey County Office Housing and Redevelopment 168 Alisal Street, 3 rd floor Salinas, CA. 93901 (831) 755-5300

Transcript of DRAFT - Monterey County, · PDF fileDRAFT . WHITE PAPER . ... 1990. Manufacturing has...

DRAFT

WHITE PAPER

MONTEREY COUNTY LABOR FORCE:

CURRENT TRENDS AND IMPLICATIONS FOR ECONOMIC DEVELOPMENT

September 27, 2011 Monterey County Office Housing and Redevelopment 168 Alisal Street, 3rd floor Salinas, CA. 93901 (831) 755-5300

TABLE OF CONTENTS INTRODUCTION Finding of the Analysis…...………………………………………………………….……..1 Implications for Economic Development and Workforce Initiatives…………………….…3 Economic Development Initiatives and Career Pathways…………………………………..3 SUPPORTING ANALYSIS……………………………………………………………………….5 Labor Force……………………………………………………………………………...…5 Job Growth Trends………………………………………………………………………...5 Comparing Labor Force and Jobs in Monterey County…………………………………….7 Economic Development Initiatives and Career Pathways Analysis………………………..14 CONCLUSION…………………………………………………………………………………..19 APPENDIX A: Detailed Occupational Demand by Industry APPENDIX B: Detailed Comparison of Jobs and Labor Force APPENDIX C: Additional Demographic Characteristics of the Labor Force

MONTEREY COUNTY LABOR FORCE

INTRODUCTION

This White Paper suggests an approach for addressing two key questions related to the labor force and economic development in Monterey County:

1) How well do the skills and capabilities of the county labor force match up to the workforce requirements of the county’s jobs base, especially for emerging industries?

2) What occupational and skills gaps should be addressed in order to support current and future economic development opportunities?

The Monterey Workforce Investment Board (WIB) has prepared focused studies for key economic sectors such as health care, green building and others identified as Regional Industry Clusters of Opportunity in conjunction with the Workforce Collaborative of California’s Central Coast (W4C). This paper attempts to provide more of an overview across all sectors in the county economy and considers how workforce development can be integrated with the current county efforts to undertake a comprehensive economic development program.

The analysis presented in the paper is preliminary in that it relies on publically available data, which are incomplete in certain key respects. However, enough information is available to identify important broad trends and also to illustrate how more detailed analysis might provide essential workforce information to support the economic development initiatives under consideration by the County.

The County’s Economic Development Committee has engaged SRI International to conduct a strategic planning process and SRI has recently released a Phase I report outlining a number of potential economic development initiatives for Monterey County. In the next stage, the process will engage focus groups and advisory committees of business, community and government leaders to discuss the initiatives and to determine the most appropriate directions for implementation. The workforce development community is an essential partner in the process and this paper describes labor force characteristics that will have an important bearing on the implementation of the economic initiatives. More importantly at this stage, however, the paper outlines a suggested approach to develop more refined information in collaboration with existing WIB resources to facilitate better economic development efforts going forward.

Findings of the Analysis

Comparing the occupational distribution of the labor force with that of the in-place job base, it is apparent that the workforce in the county is more diverse that the job base. The loss of jobs over the past couple years has exacerbated some of the mismatches between job supply and labor supply in the county.

The County has a surplus of management workers and health care practitioners (although there remain deficiencies in specific health care support categories), along with protective services, building maintenance, personal care services and sales (Figure 1, right hand side). In addition, there

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are surpluses in construction, production, transportation workers, and installation, maintenance and repair workers. These surpluses existing before the recession, but more recent job losses in sectors such as construction, retail and technology sectors have disproportionately affected large groups of Monterey County workers.

Conversely, the county resident labor force does not appear to supply all the workers needed for the county’s main employment sectors, including agriculture, tourism and government (Figure 1, left hand side). This is likely due to the fact that these large employment concentrations attract workers from surrounding area, as well as the fact that many of these jobs are low paying while living costs in Monterey County are high. Data provided by the Local Employment Dynamics System (LED) indicate that 68 percent of primary job workers live and work in Monterey County and nearly 32 percent are employed outside the county (balanced by a similar level of in-commuting). Monterey County was generally exporting labor on a net basis up until 2006-2007. Since the Great Recession began, out-commuting has slowed more rapidly than in-commuting, and in 2008 and 2009 more primary job workers commuted into the county than commuted out.

FIGURE 1 DEFICIT/SURPLUS IN THE LABOR FORCE BY MAJOR OCCUPATIONAL GROUP

MONTEREY COUNTY 2010

Source: CA EDD Occupational Employment Survey and American Community Survey.

Of major concern as well are shortages of key middle skill workers needed to support growth in important economic sectors. Occupations such as communications equipment operators, occupational and physical therapist assistants, financial specialists and clerks, scientific technicians, material recording and dispatching clerks, health technologists and technicians, computer specialists,

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arts and design occupations, and business operations specialists are all under represented in the labor force compared to the needs of the economic base of the county.

Implications for Economic Development and Workforce Initiatives

The analysis suggests that the county labor force is in a sense shaped like a barbell, with concentrations of workers at the top management levels and at the lower skilled service worker level. Businesses frequently express demand for skilled technicians such as electricians, mechanical workers, computer technicians and lab technicians that are needed to support production processes.

There is a critical need is to develop middle skill technical workers to support new commercialization efforts developing in the county around marine research, alternative energy and transportation technologies. Moreover, with the increased mechanization of food processing, this need is felt in the county’s traditional base industries as well as in emerging sectors. The allied health professional is another example of an occupational category in which additional workers need to be developed despite a relatively plentiful workforce in health care overall.1 There are opportunities to create career ladders to help the existing workforce transition from lower skilled occupations to middle skill levels and upward to create a viable living wage career trajectory for a wide range of county residents.

From an economic development perspective, the upper skill end of the labor force profile represents an opportunity as well. As noted above, Monterey County has a larger management level workforce than the job base. Some management level commuters have lost their jobs and likely account for the reductions in management occupations among employed workers seen in the 2000-2010 trends. This “surplus” of management personnel represents a potential pool of entrepreneurial talent. Since national forecasts suggest the recovery will see little job growth until 2013, there is a window currently in Monterey County in which local economic development efforts could focus on new enterprise development to take advantage of this talent pool.

Economic Development Initiatives and Career Pathways

The Phase 1 economic assessment from SRI identifies a number of potential economic initiatives, including the following:

• Eco-recreation • Wine and agri-tourism • Community business promotion (“Third Street”)

1 BW Research Partnership. Central Coast’s Regional Allied Health Partnership. 2010. Workforce Collaborative of California’s Central Coast.

• Sustainable construction exports • Edu-tourism and training • Motor sports test and demonstration facility • Agribusiness competitiveness consortium • Marine research and aquaculture initiative • Research, development and policy innovation park

Based on EDD’s latest job and occupational projections, a number of career pathways consistent with these initiatives are projected to have better than average growth prospects over the next 8-10 years:

Growing Career Pathways

• Recreation, Amusements & Attractions • Restaurants & Food/Beverage Services • Science and Mathematics • Emergency and Fire Management • Law Enforcement Services • Business Analysis • Environmental Service Systems • Food Products & Processing Systems • Natural Resources Systems • Plant Systems • Power Structural and Service Systems

In addition, other career pathways in health, education and human services are also projected to show better than average growth:

• Biotechnology Research and Development • Health Informatics • Therapeutic Services • Education Administration • Teaching/Training • Counseling and Mental Heath • Network Systems • Personal Care Services

The available data to evaluate these opportunities is limited, but with close collaboration between the WIB and the County’s Economic Development Office, more in-depth analysis could be completed to develop coordinated economic and workforce development initiatives.

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One approach to coordinating workforce and economic development would include the following sequence of steps.

1. Project job growth from economic development initiatives and market opportunities.

2. Translate jobs projection in occupational demand (See sample model in Appendix A).

3. Compile occupational demand into career pathway groups and ascertain local competencies based on O-Net analysis.

4. Convene industry focus groups or advisory committees to review career pathways projections and provide input on current technical skill requirements.

5. Coordinate with training providers and educational institutions to design training to support industry growth and expansion.

6. Establish ongoing coordination between county economic development and workforce development efforts.

SUPPORTING ANALYSIS

Labor Force

The County labor force grew by 1.2 percent annually from 1990 to 2010. The job base matched this growth rate through 2008, before tailing off to a 0.9 percent rate due to the recession.

TABLE 1 MONTEREY COUNTY LABOR FORCE

  1990 2000 2008 2009 2010

Civilian Labor Force 172,800 203,200 212,200 215,400 219,700

Civilian Employment 156,100 188,200 194,500 190,100 191,600

Civilian Unemployment 16,700 14,900 17,800 25,400 28,000

Civilian Unemployment Rate 9.7% 7.4% 8.4% 11.8% 12.8%

Source: CA EDD Current Employment Statistics.

Job Growth Trends

Agriculture has substantially increased jobs and its share of total employment in the County since 1990. Manufacturing has experienced the opposite trend, despite the fact that food processing industries are classified as manufacturing. Business and professional services grew substantially in the 1990s but has since lost jobs, even prior to 2008 when the recession began. Education and health care are the other major sectors that have shown growth in the past 20 years. Unfortunately, information technology has shown a steady decline.

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TABLE 4 MONTEREY COUNTY JOBS 1990-2010

Industry 1990 Percent 2000 Percent 2010 Percent

2010

Total, All Industries 138,900 100.0% 166,400 100.0% 166,800 100.0%

Total Farm 28,800 20.7% 39,100 23.5% 45,400 27.2%

Mining and Logging 200 0.1% 100 0.1% 200 0.1%

Construction 4,700 3.4% 6,300 3.8% 4,100 2.5%

Manufacturing 9,100 6.6% 8,700 5.2% 5,300 3.2%

Wholesale Trade 4,200 3.0% 4,600 2.8% 5,000 3.0%

Retail Trade 14,700 10.6% 16,400 9.9% 15,100 9.1%

Transportation, Warehousing & Utilities 3,000 2.2% 3,500 2.1% 3,300 2.0%

Information 3,400 2.4% 2,800 1.7% 1,700 1.0%

Financial Activities 6,600 4.8% 6,300 3.8% 4,400 2.6%

Professional & Business Services 7,300 5.3% 12,900 7.8% 11,300 6.8%

Educational & Health Services 8,000 5.8% 11,200 6.7% 13,600 8.2%

Leisure & Hospitality 17,800 12.8% 20,000 12.0% 20,100 12.1%

Other Services 3,500 2.5% 4,200 2.5% 4,700 2.8%

Government (incl. local education) 27,700 19.9% 30,400 18.3% 32,600 19.5%

Source: CA EDD Current Employment Statistics. 

The table below shows annual growth rates up through 2008 (right hand column) compared to the full 20 years through 2010. Again, agriculture has not been affected by the recession, but construction and financial services have been hard hit and a number of other sectors showed a measurable decline of 0.5% or more, including manufacturing, information, transportation and warehousing, and retail.

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TABLE 5 COMPARISON OF ANNUAL GROWTH RATE BEFORE AND AFTER

RECESSION

Industries 1990-2010

1990-2008

Total, All Industries 0.9% 1.2%

Total Farm 2.3% 2.3%

Mining and Logging 0.0% 0.0%

Construction -0.7% 1.5%

Manufacturing -2.7% -2.2%

Wholesale Trade 0.9% 1.1%

Retail Trade 0.1% 0.7%

Transportation, Warehousing & Utilities 0.5% 1.0%

Information -3.4% -2.9%

Financial Activities -2.0% -1.0%

Professional & Business Services 2.2% 2.6%

Educational & Health Services 2.7% 2.8%

Leisure & Hospitality 0.6% 1.0%

Other Services 1.5% 1.5%

Government (incl local education) 0.8% 0.8%

Source: CA EDD Current Employment Statistics.

Comparing Labor Force and Jobs in Monterey County

This job base shown in Table 4 above produces the following demand for occupations in the County (Table 6). Appendix A includes occupational distribution tables for each industry, which can be used to project occupational demand from job growth in each industry.

Table 7 compares the occupational distribution for jobs in the county with that of the labor force residing in the county on a percentage basis. A number of interesting comparisons are apparent in Table 7. First, the labor force has a stronger concentration of management workers than is required by the job base, although other higher level business occupations such as business and financial operations and computer specialists are slightly under represented in the labor force. At the bottom of the table, construction occupations, installation and maintenance workers, production and transportation works are more highly concentrated in the labor force than in the job base. One upshot of these individual occupational discrepancies is that key economic sectors in the job base such as agriculture, education and tourism are relatively less represented in the workforce, suggesting these large sectors import some labor from out of the county.

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TABLE 6 OCCUPATIONAL DISTRIBUTION OF JOBS IN MONTEREY

COUNTY SOC Code Occupational Category Percent

11 Management 4.1%

13 Business and Financial Operations 3.4%

15 Computer and Mathematical 1.6%

17 Architecture and Engineering 0.7%

19 Life, Physical, and Social Science 0.7%

21 Community and Social Services 1.0%

23 Legal 0.4%

25 Education, Training, and Library 7.5%

27 Arts, Design, Entertainment, Sports, and Media 1.5%

29 Healthcare Practitioners and Technical 4.2%

31 Healthcare Support 2.5%

33 Protective Service 3.2%

35 Food Preparation and Serving-Related 9.5%

37 Building and Grounds Cleaning and Maintenance 3.6%

39 Personal Care and Service 1.9%

41 Sales and Related 8.6%

43 Office and Administrative Support 13.2%

45 Farming, Fishing, and Forestry 17.4%

47 Construction and Extraction 2.5%

49 Installation, Maintenance, and Repair 2.8%

51 Production 3.5%

53 Transportation and Material Moving 6.1%

Total 100.0%

Source: CA EDD Occupational Employment Survey (OES)

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TABLE 7 COMPARISON OF OCCUPATIONAL DISTRIBUTION OF JOBS AND LABOR FORCE

IN MONTEREY COUNTY

SOC Code Occupational Category

Percent of Jobs

Percent of Labor

Force Difference

11 Management 4.1% 7.3% 3.2%

13 Business and Financial Operations 3.4% 2.8% -0.6%

15 Computer and Mathematical 1.6% 1.3% -0.3%

17 Architecture and Engineering 0.7% 0.9% 0.2%

19 Life, Physical, and Social Science 0.7% 0.9% 0.2%

21 Community and Social Services 1.0% 1.4% 0.3%

23 Legal 0.4% 1.0% 0.7%

25 Education, Training, and Library 7.5% 6.1% -1.5%

27 Arts, Design, Entertainment, Sports, and Media 1.5% 1.2% -0.3%

29 Healthcare Practitioners and Technical 4.2% 4.5% 0.3%

31 Healthcare Support 2.5% 2.0% -0.5%

33 Protective Service 3.2% 3.7% 0.5%

35 Food Preparation and Serving-Related 9.5% 6.0% -3.6%

37 Building and Grounds Cleaning and Maintenance 3.6% 5.4% 1.8%

39 Personal Care and Service 1.9% 4.4% 2.5%

41 Sales and Related 8.6% 9.7% 1.2%

43 Office and Administrative Support 13.2% 10.8% -2.4%

45 Farming, Fishing, and Forestry 17.4% 10.6% -6.9%

47 Construction and Extraction 2.5% 4.5% 2.0%

49 Installation, Maintenance, and Repair 2.8% 3.1% 0.4%

51 Production 3.5% 4.6% 1.1%

53 Transportation and Material Moving 6.1% 7.8% 1.8%

Total 100.0% 100.0%

Source: CA EDD Occupational Employment Survey (OES) and American Community Survey 2009.

In addition to the wage and salary workers, there are an estimated 46,000 business proprietors in Monterey County (Table 8). There are high concentrations of independent business owners in real estate, professional services, retail and other services.

Table 9 shows the comparison between the most recent occupational distribution of jobs in the county (May 2010) to the 2009 data for the resident labor force, sorted with labor shortages at te top and labor surpluses toward the bottom. The mismatch in total numbers is due in part to the recession, as EDD’s 2008 OES figures showed 183,000 jobs in the county compared to 153,000 in Table 9. However, the gaps and surpluses in available workers by occupation reveal similar patterns to the earlier data discussed above. Employment sectors where Monterey county has a strong concentration tend to show a deficit of local workers. This would mean that the high number

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TABLE 8 PROPRIETOR INDUSTRY DISTRIBUTION, 2009

Estimate Percent Total, All Industries 45,909 100.0% Total Farm (Inc. Forestry, Fishing) 893 1.9% Total Nonfarm 45,016 98.1% Mining and Logging 433 0.9% Construction 3,043 6.6% Manufacturing 565 1.2% Wholesale Trade 886 1.9% Retail Trade 3,954 8.6% Transportation, Warehousing & Utilities 1,206 2.6% Information 571 1.2% Financial/Real Estate Services 10,454 22.8% Professional/Management/Business Services 8,552 18.6% Educational Services 1,237 2.7% Health Care & Social Assistance 3,597 7.8% Arts, Entertainment & Recreation 2,237 4.9% Accommodation & Food Services 1,579 3.4% Other Services 6,614 14.4% Source: Bureau of Economic Analysis

of jobs available in these sectors, such as agriculture and tourism attract workers from surrounding areas. In other sectors such as construction, the county tends to export workers. In addition, the apparent surplus of management workers in shows up in the table, indicating that a component of the more experienced labor force in the county commutes to jobs elsewhere. A more detailed version of Table 9 may be found in Appendix B.

These results support the overall picture of increasing unemployment over the past few years as well. Although occupational data for the unemployed workforce are not available, Table 10 indicates the County has lost some 10,300 jobs since 2007 (although there have been offsetting job gains in other sectors). While the construction job losses have been fairly apparent, losses in retail help account for the surpluses in sales occupations and losses in information and financial services accounts for some of the surpluses in administrative occupations. The increase in unemployed persons is 3,000 higher than the local job losses, suggesting the net number of commuters who have lost jobs. As noted above, Monterey County has a larger management level workforce than the job base. Some management level commuters have lost their jobs and likely account for the “surplus” in management occupations in Table 9 above.

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TABLE 9 COMPARISON OF JOBS AND LABOR FORCE

SOC Code Occupational Title Jobs

May 2010

Labor Force 2009 Difference

Total: 153,740 172,198 18,458

45-0000 Farming, fishing, and forestry occupations 26,820 18,233 (8,587)

35-0000 Food preparation and serving related occupations 14,640 10,246 (4,394)

43-0000 Office and administrative support occupations 20,330 18,553 (1,777)

25-0000 Education, training, and library occupations 11,600 10,481 (1,119)

31-0000 Healthcare support occupations 3,830 3,386 (444)

13-0000 Business and financial operations occupations 5,260 4,879 (381)

15-0000 Computer and mathematical occupations 2,410 2,168 (242)

27-0000 Arts, design, entertainment, sports, and media occupations 2,250 2,034 (216)

17-0000 Architecture and engineering occupations 1,020 1,474 454

19-0000 Life, physical, and social science occupations 1,110 1,607 497

21-0000 Community and social services occupations 1,590 2,358 768

49-0000 Installation, maintenance, and repair occupations 4,250 5,384 1,134

23-0000 Legal occupations 540 1,730 1,190

29-0000 Healthcare practitioner and technical occupations 6,520 7,763 1,243

33-0000 Protective service occupations 4,870 6,305 1,435

51-0000 Production occupations 5,400 7,876 2,476

41-0000 Sales and related occupations 13,140 16,776 3,636

37-0000 Building and grounds cleaning and maintenance occupations 5,560 9,384 3,824

47-0000 Construction and extraction occupations 3,900 7,806 3,906

53-0000 Transportation and material moving occupations 9,320 13,503 4,183

39-0000 Personal care and service occupations 2,960 7,609 4,649

11-0000 Management occupations 6,370 12,643 6,273 Source: 2010 Data from CA EDD Occupational Employment Survey (OES) and 2009 data from Bureau of the Census American Community Survey.

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TABLE 10 JOB LOSSES AND INCREASES IN UNEMPLOYMENT 2007-2010

2007 2008 2009 2010 2007-2010

Civilian Labor Force 205,800 212,200 215,400 219,700 13,900

Civilian Employment 191,200 194,500 190,100 191,600 400

Civilian Unemployment 14,700 17,800 25,400 28,000 13,300

Total, All Industries 170,300 171,500 165,100 166,800 (3,500)

Total Farm 41,600 43,300 42,800 45,400 3,800

Total Nonfarm Job Losses 128,700 128,200 122,200 121,500 (10,300)

Construction 7,000 6,100 4,600 4,100 (2,900)

Durable Goods 1,700 1,600 1,500 1,400 (300)

Food Manufacturing 2,800 2,700 2,400 2,300 (500)

Retail Trade - Residual 13,700 13,300 11,700 11,600 (2,100)

Transportation, Warehousing & Utilities 3,600 3,600 3,400 3,300 (300)

Information 2,100 2,000 1,700 1,700 (400)

Financial Activities 6,000 5,500 4,700 4,400 (1,600)

Professional & Business Services 11,900 11,600 10,900 11,300 (600)

Accommodation 7,300 7,500 6,800 6,700 (600)

Food Services & Drinking Places 11,700 11,800 11,400 11,300 (400)

Local Government Education 11,200 11,300 11,100 10,700 (500)

City Gov’t. 2,400 2,400 2,400 2,300 (100)

Source: EDD CES

Monterey County was generally exporting labor on a net basis up until 2007(although 2006 shows a net inflow of workers). Since the Great Recession began, out-commuting has slowed more rapidly than in-commuting, and in 2008 and 2009 more primary job workers commuted into the county than commuted out (Table 11).

TABLE 11 LABOR FORCE INFLOW/OUTFLOW

Year Employed in the

County Living in the County Net Job Inflow (+)

or Outflow (-)

Count Share Count Share Count Share

2009 132,620 100.0% 131,005 98.8% 1,615 -

2008 132,596 100.0% 131,979 99.5% 617 -

2007 129,924 100.0% 131,955 101.6% -2,031 -

2006 132,481 100.0% 130,323 98.4% 2,158 -

2005 136,872 100.0% 137,613 100.5% -741 -

2004 132,817 100.0% 137,046 103.2% -4,229 -

2003 137,112 100.0% 140,552 102.5% -3,440 -

2002 134,686 100.0% 141,703 105.2% -7,017 -

Source: US Census Bureau Local Employment Dynamics (LED)

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Overall, the Local Employment Dynamics database estimates that 68 percent of primary job workers live and work in Monterey County and nearly 32 percent are employed outside the County. Compared to workers living and working in Monterey County, workers out-commuting tend to be younger and are employed in trade and transportation businesses rather than in services and goods producing industries. Similarly, in-commuting workers tend to be younger as well but are more concentrated in goods producing industries (Table 12).

TABLE 12 CHARACTERISTICS OF INCOMING AND OUTGOING WORKERS, 2009

Employment Efficiency (Primary Jobs) Count Share

Living in the Selection Area 131,005 100.0%

Living and Employed in the Selection Area 89,193 68.1%

Living in the Selection Area but Employed Outside 41,812 31.9%

Outflow Job Characteristics (Primary Jobs) Count Share

External Jobs Filled by Residents 41,812 100.0%

Workers Aged 29 or younger 12,732 30.5%

Workers Aged 30 to 54 22,062 52.8%

Workers Aged 55 or older 7,018 16.8%

Workers Earning $1,250 per month or less 9,925 23.7%

Workers Earning $1,251 to $3,333 per month 16,751 40.1%

Workers Earning More than $3,333 per month 15,136 36.2%

Workers in the "Goods Producing" Industry Class 8,666 20.7%

Workers in the "Trade, Transportation, and Utilities" Industry Class 11,796 28.2%

Workers in the "All Other Services" Industry Class 21,350 51.1%

Inflow Job Characteristics (Primary Jobs) Count Share

Internal Jobs Filled by Outside Workers 43,427 100.0%

Workers Aged 29 or younger 12,815 29.5%

Workers Aged 30 to 54 22,550 51.9%

Workers Aged 55 or older 8,062 18.6%

Workers Earning $1,250 per month or less 11,347 26.1%

Workers Earning $1,251 to $3,333 per month 19,693 45.3%

Workers Earning More than $3,333 per month 12,387 28.5%

Workers in the "Goods Producing" Industry Class 16,737 38.5%

Workers in the "Trade, Transportation, and Utilities" Industry Class 8,654 19.9%

Workers in the "All Other Services" Industry Class 18,036 41.5%

Interior Flow Job Characteristics (Primary Jobs) Count Share

Internal Jobs Filled by Residents 89,193 100.0%

Workers Aged 29 or younger 19,919 22.3%

Workers Aged 30 to 54 50,712 56.9%

Workers Aged 55 or older 18,562 20.8%

Workers Earning $1,250 per month or less 17,328 19.4%

Workers Earning $1,251 to $3,333 per month 37,102 41.6%

Workers Earning More than $3,333 per month 34,763 39.0%

Workers in the "Goods Producing" Industry Class 23,519 26.4%

Workers in the "Trade, Transportation, and Utilities" Industry Class 10,496 11.8%

Workers in the "All Other Services" Industry Class 55,178 61.9%

Source: U.S. Census Bureau, OnTheMap Application and LED Origin-Destination Employment Statistics (Beginning of Quarter Employment, 2nd Quarter of 2002-2009)

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Economic Development Initiatives and Career Pathways Analysis

The discussion above provides an overview of recent trends that provide some insight to the characteristics and capabilities of the Monterey County labor force. Of greater importance is the identification of training needs to support future jobs growth and economic development initiatives. As a first step, it is necessary to link up projected job growth with labor skill requirements to begin to understand where workforce development efforts should focus. The Monterey County WIB has prepared focused studies of workforce requirements for health care and other sectors associated with the Regional Industry Clusters of Opportunity (RICO). As the County considers a wider range of economic development opportunities in its strategic planning process, it is valuable to have a more comprehensive picture of anticipated future workforce needs. An example of such an approach is the workforce study SRI prepared for the Tampa Bay Region. SRI analyzed the regional labor force in terms of the Career Pathways developed by the Career Technical Education Consortium, in order to discern current labor force competencies and potential transferability of skills to new emerging business sectors in the region.

This section of the white paper provides a preliminary analysis of career pathways for Monterey County. This analysis is developed using publically available occupational data from EDD. Due to the small size of many occupational groups in Monterey County, these data have a number of gaps in which the numbers are withheld to protect confidentiality. This limits the extent of the analysis that can be performed; therefore, the analysis should be considered illustrative rather than conclusive at this point. However, the purpose in presenting the illustrative analysis is to suggest an approach to aligning the county’s economic development initiatives with its workforce development resources. The basic analytic and program development process would be as follows:

7. Project job growth from economic development initiatives and market opportunities.

8. Translate jobs projection in occupational demand (See sample model in Appendix A).

9. Compile occupational demand into career pathway groups and ascertain local competencies based on O-Net analysis.

10. Convene industry focus groups or advisory committees to review career pathways projections and provide input on current technical skill requirements.

11. Coordinate with training providers and educational institutions to design training to support industry growth and expansion.

12. Establish ongoing coordination between county economic development and workforce development efforts.

As an initial approach to identifying growing career pathways in Monterey County, we have utilized EDD’s occupational demand projections. The latest projections cover the period of 2008 to 2018; however, EDD has published a more recent baseline for May of 2010, presented earlier in this paper. We have used the 2010 base and applied EDD’s projected the growth rates to derive a 2020 projection. The occupations were then grouped into career pathways and analyzed in terms of

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projected growth rates and concentration. Because of the amount of missing data, the concentration factors are not included below, but we have identified the career pathways that are projected to growth at least as fast as the overall economy to the upcoming ten year period (08% per year), recognizing that upcoming new projections from EDD may revised these growth rates downward to reflect continuing effects of the recession. Again, the analysis here is presented for illustrative purposes only.

As the following tables indicate, a number of the fast growing career pathways are consistent with the economic development initiatives identified by SRI in their initial report to Monterey County (August 2011). The more detailed career pathways analysis is provided in Appendix D, indicating the occupations with missing data, which perhaps could be filled with a customized data run from EDD.

TABLE 13 GROWING CAREER PATHWAYS IN AGRICULTURE, FOOD AND NATURAL RESOURCES

SOC Code Occupational Title

May 2010 Monterey

County Employment

Estimates

EDD Projected

Annual Growth

Rate

2020 Projected

Employment

2010 to 2020

Projected Employment

Growth

Agriculture, Food & Natural Resource Cluster 28,590 1.3% 32,428 3,838

Environmental Service Systems Career Pathway 300 1.0% 338 38

37-2021 Pest Control Workers 90 0.9% 98 8

51-8031 Water and Liquid Waste Treatment Plant and System Operators 180 1.6% 210 30

Food Products & Processing Systems Career Pathway 2,140 1.0% 2,363 223

45-1011 First-Line Supervisors/Managers of Farming, Fishing, and Forestry Workers 830 1.8% 994 164

45-2011 Agricultural Inspectors 70 1.0% 77 7

45-2041 Graders and Sorters, Agricultural Products 1,110 0.4% 1,152 42

51-3021 Butchers and Meat Cutters 130 0.7% 140 10

Natural Resources Systems Career Pathway 300 1.3% 313 13

19-4093 Forest and Conservation Technicians 90 1.3% 103 13

Plant Systems Career Pathway 24,360 1.3% 27,784 3,424

11-9013 Farmers, Ranchers, and Other Agricultural Managers 160 1.8% 192 32

19-1013 Soil and Plant Scientists 70 1.8% 84 14

37-1012 First-Line Supervisors/Managers of Landscaping, Lawn Service, and Grounds

keeping Workers 210 0.6% 222 12

37-3012 Pesticide Handlers, Sprayers, and Applicators, Vegetation 110 1.0% 121 11

45-2092 Farmworkers and Laborers, Crop, Nursery, and Greenhouse 23,530 1.3% 26,831 3,301

49-3041 Farm Equipment Mechanics 280 1.8% 333 53

Power Structural & Technical Systems 1,270 1.1% 1,410 140

41-2022 Parts Salespersons 260 1.0% 286 26

45-2091 Agricultural Equipment Operators 1,010 1.1% 1,124 114

Source: CA EDD OES Projections for Monterey County, Career Technical Education Consortium.

15

TABLE 14 GROWING CAREER PATHWAYS IN HOSPITALITY & TOURISM

SOC Code Occupational Title

May 2010 Monterey

County Employment

Estimates

EDD Projected

Annual Growth

Rate

2020 Projected

Employment

2010 to 2020

Projected Employment

Growth

Recreation, Amusements & Attractions Career Pathway 910 0.9% 995 85

25-3021 Self-Enrichment Education Teachers 190 1.4% 219 29

39-3091 Amusement and Recreation Attendants 300 1.1% 335 35

39-9032 Recreation Workers 420 0.5% 440 20

Restaurants & Food/Beverage Services Career Pathway 15,170 0.9% 16,585 1,415

11-9051 Food Service Managers 350 0.7% 374 24

35-1011 Chefs and Head Cooks 110 0.0% 110 0

35-1012 First-Line Supervisors/Managers of Food Preparation and Serving

Workers 900 0.8% 977 77

35-2011 Cooks, Fast Food 960 0.9% 1,046 86

35-2012 Cooks, Institution and Cafeteria 330 1.7% 392 62

35-2014 Cooks, Restaurant 1,330 0.9% 1,454 124

35-2021 Food Preparation Workers 1,530 0.4% 1,587 57

35-3011 Bartenders 450 0.9% 492 42

35-3021 Combined Food Preparation and Serving Workers, Including Fast Food 2,450 1.3% 2,798 348

35-3022 Counter Attendants, Cafeteria, Food Concession, and Coffee Shop 770 1.1% 857 87

35-3031 Waiters and Waitresses 3,240 0.8% 3,510 270

35-3041 Food Servers, Nonrestaurant 280 0.8% 302 22

35-9011 Dining Room and Cafeteria Attendants and Bartender Helpers 590 0.8% 640 50

35-9021 Dishwashers 950 1.0% 1,053 103

35-9031 Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop 490 0.7% 525 35

51-3011 Bakers 250 -1.1% 223 -27

51-9012 Processing Machine Setters, Operators, and Tenders 190 2.5% 243 53

Source: CA EDD OES Projections for Monterey County, Career Technical Education Consortium.

16

TABLE 15 GROWING CAREER PATHWAYS IN LAW, PUBLIC SAFETY, CORRECTIONS,

SECURITY, HUMAN SERVICES AND GOVERNMENT

SOC Code Occupational Title

May 2010 Monterey

County Employment

Estimates

EDD Projected

Annual Growth

Rate

2020 Projected

Employment

2010 to 2020

Projected Employment

Growth

Law, Public Safety, Corrections & Security

Emergency & Fire Management Career Pathway 2,050 0.8% 2,208 158

29-2041 Emergency Medical Technicians and Paramedics 230 0.5% 242 12

33-2011 Fire Fighters 600 0.8% 648 48

43-5031 Police, Fire, and Ambulance Dispatchers 70 1.8% 84 14

Law Enforcement Services Career Pathway 990 0.8% 1,074 84

33-3051 Police and Sheriff's Patrol Officers 860 0.9% 944 84

Human Services

Counseling & Mental Health Career Pathway 380 2.4% 454 74

21-1011 Substance Abuse and Behavioral Disorder Counselors 110 3.4% 154 44

21-1014 Mental Health Counselors 90 2.9% 120 30

21-1015 Rehabilitation Counselors 50 0.0% 50 0

Family & Community Services Career Pathway 1,150 1.6% 1,323 173

11-9151 Social and Community Service Managers 130 0.8% 141 11

21-1022 Medical and Public Health Social Workers 80 2.9% 107 27

21-1093 Social and Human Service Assistants 220 1.6% 257 37

21-1798 Community and Social Service Specialists, All Other* 150 1.4% 173 23

39-9011 Child Care Workers 450 1.6% 526 76

Network Systems Career Pathway 380 1.2% 403 23

15-1142 Network and Computer Systems Administrators 180 1.2% 203 23

Personal Care Services Career Pathway 1,550 2.4% 1,726 176

31-9011 Massage Therapists 220 0.5% 232 12

39-1021 First-Line Supervisors/Managers of Personal Service Workers 120 0.5% 126 6

39-5012 Hairdressers, Hairstylists, and Cosmetologists 270 1.6% 317 47

39-9021 Personal and Home Care Aides 170 3.4% 237 67

39-9031 Fitness Trainers and Aerobics Instructors 280 1.8% 336 56

51-6011 Laundry and Dry-Cleaning Workers 140 0.0% 140 0

51-6021 Pressers, Textile, Garment, and Related Materials 310 -0.4% 298 -12

Government

Planning Career Pathway 270 1.2% 312 42

19-3051 Urban and Regional Planners 110 0.9% 120 10

43-4111 Interviewers, Except Eligibility and Loan 160 1.8% 192 32

Regulation Career Pathway 220 1.1% 249 29

13-1041 Compliance Officers, Except Ag., Const., Health & Safety, and Trans. 140 2.9% 187 47

17

Source: CA EDD OES Projections for Monterey County, Career Technical Education Consortium.

TABLE 16 GROWING CAREER PATHWAYS IN BUSINESS, SCIENCE, MANUFACTURING AND TRANSPORTATION

SOC Code Occupational Title

May 2010 Monterey

County Employment

Estimates

EDD Projected

Annual Growth

Rate

2020 Projected

Employment

2010 to 2020

Projected Employment

Growth

Business, Management & Admin

Business Analysis Career Pathway 60 1.8% 72 12

13-2031 Budget Analysts 60 1.8% 72 12

Science, Technology, Engineering & Mathematics

Science & Mathematics Career Pathway 360 0.8% 384 24

19-1029 Biological Scientists, All Other 70 1.6% 82 12

19-4011 Agricultural and Food Science Technicians 60 0.0% 60 0

19-4021 Biological Technicians 60 1.8% 72 12

Manufacturing

Manufacturing Production Process Development Career Pathway 200 1.8% 240 40

13-1023 Purchasing Agents, Except Wholesale, Retail, and Farm Products 200 1.8% 240 40

Transportation, Distribution & Logistics

Sales & Service Career Pathway 430 1.0% 473 43

43-3021 Billing and Posting Clerks and Machine Operators 430 1.0% 473 43

Source: CA EDD OES Projections for Monterey County, Career Technical Education Consortium.

TABLE 17 GROWING CAREER PATHWAYS IN EDUCATION AND TRAINING

SOC Code Occupational Title

May 2010 Monterey

County Employment

Estimates

EDD Projected

Annual Growth

Rate

2020 Projected

Employment

2010 to 2020

Projected Employment

Growth

Education Admin Career Pathway 970 0.8% 1,035 65

11-9031 Education Administrators, Preschool and Child Care Center/Program 130 1.1% 144 14

11-9032 Education Administrators, Elementary and Secondary School 340 0.7% 365 25

25-9099 Education, Training, and Library Workers, All Other 210 1.2% 236 26

Teaching/Training Career Pathway 9,590 1.1% 10,623 1,033

25-1072 Nursing Instructors and Teachers, Postsecondary 30 1.8% 36 6

25-2011 Preschool Teachers, Except Special Education 370 0.7% 398 28

25-2012 Kindergarten Teachers, Except Special Education 360 1.3% 409 49

25-2021 Elementary School Teachers, Except Special Education 2,550 1.4% 2,928 378

25-2022 Middle School Teachers, Except Special and Vocational Education 340 1.6% 397 57

25-2031 Secondary School Teachers, Except Special and Vocational Education 1,120 0.6% 1,192 72

18

25-2041 Special Education Teachers, Preschool, Kindergarten, and Elementary School 130 0.9% 142 12

25-3999 All Other Teachers, Primary, Secondary, and Adult 3,060 0.9% 3,360 300

25-9041 Teacher Assistants 1,380 0.6% 1,470 90

27-2022 Coaches and Scouts 160 2.3% 200 40

Source: CA EDD OES Projections for Monterey County, Career Technical Education Consortium.

TABLE 18 GROWING CAREER PATHWAYS IN HEALTH SCIENCE

SOC Code Occupational Title

May 2010 Monterey

County Employment

Estimates

EDD Projected

Annual Growth

Rate

2020 Projected

Employment

2010 to 2020

Projected Employment

Growth

Biotechnology Research & Development Career Pathway 140 1.3% 160 20

31-9093 Medical Equipment Preparers 140 1.3% 160 20

Diagnostic Services Career Pathway 340 1.6% 383 43

29-2011 Medical and Clinical Laboratory Technologists 90 1.0% 99 9

29-2012 Medical and Clinical Laboratory Technicians 70 1.1% 78 8

29-2031 Cardiovascular Technologists and Technicians 30 1.8% 36 6

29-2037 Radiologic Technologists and Technicians* 110 1.7% 130 20

Health Informatics Career Pathway 390 1.5% 446 56

21-1091 Health Educators 120 1.3% 136 16

29-2071 Medical Records and Health Information Technicians 140 2.1% 172 32

31-9094 Medical Transcriptionists 70 1.1% 78 8

Therapeutic Services Career Pathway 8,090 2.5% 10,314 2,224

21-1023 Mental Health and Substance Abuse Social Workers 80 0.7% 86 6

29-1011 Chiropractors 30 0.0% 30 0

29-1051 Pharmacists 250 1.6% 292 42

29-1062 Family and General Practitioners 100 2.3% 125 25

29-1071 Physician Assistants 60 2.9% 80 20

29-1111 Registered Nurses 2,580 2.7% 3,354 774

29-1122 Occupational Therapists 70 2.3% 88 18

29-1123 Physical Therapists 140 2.6% 181 41

29-1126 Respiratory Therapists 80 2.5% 103 23

29-2052 Pharmacy Technicians 330 2.6% 426 96

29-2055 Surgical Technologists 130 3.4% 182 52

29-2061 Licensed Practical and Licensed Vocational Nurses 720 2.0% 875 155

31-1011 Home Health Aides 600 4.1% 900 300

31-1012 Nursing Aides, Orderlies, and Attendants 1,000 2.3% 1,261 261

31-2022 Physical Therapist Aides 60 2.5% 77 17

31-9091 Dental Assistants 430 2.3% 540 110

31-9092 Medical Assistants 910 2.8% 1,194 284

Source: CA EDD OES Projections for Monterey County, Career Technical Education Consortium. CONCLUSION

19

Workforce readiness is one of the most essential business location factors supporting economic development. In order for existing businesses to expand or for new businesses to be interested in Monterey County locations, they must have the ability to find and train qualified workers. As the County develops its new organizational capacity around economic development, it is critical to coordinate with workforce development planning efforts and resources as well. This paper provides a preliminary approach to developing an ongoing system to monitor industry training needs comprehensively and to implement training activities in support of strategic economic development efforts.

20

APPENDIX A: DETAILED OCCUPATIONAL DEMAND BY INDUSTRY

The California EDD provides data on jobs by industry and occupation for each county and also the typical occupational distribution for each industry statewide. The jobs and occupational distributions come from different sources within EDD and the agency does not reconcile the actual job numbers within the county. For example, the OES occupational distribution shows 153,740 jobs in Monterey County while the CES wage and salary job distribution shows 168,346. In addition, using the statewide industry occupational distributions to replicate the Monterey County aggregate OES distribution produces other discrepancies in the occupational estimates.

TABLE A-1 COMPARISON OF OES OCCUPATIONAL DISTRIBUTION TO ESTIMATED

DISTRIBUTION FROM CES INDUSTRY MATRIX

SOC Code Occupational Category

Percent OES

Percent CES from

Estimation Matrix

11 Management 4.1% 4.6%

13 Business and Financial Operations 3.4% 4.2%

15 Computer and Mathematical 1.6% 1.6%

17 Architecture and Engineering 0.7% 1.0%

19 Life, Physical, and Social Science 0.7% 0.9%

21 Community and Social Services 1.0% 1.3%

23 Legal 0.4% 0.6%

25 Education, Training, and Library 7.5% 6.6%

27 Arts, Design, Entertainment, Sports, and Media 1.5% 1.0%

29 Healthcare Practitioners and Technical 4.2% 3.5%

31 Healthcare Support 2.5% 1.9%

33 Protective Service 3.2% 2.8%

35 Food Preparation and Serving-Related 9.5% 10.0%

37 Building and Grounds Cleaning and Maintenance 3.6% 2.5%

39 Personal Care and Service 1.9% 2.9%

41 Sales and Related 8.6% 7.3%

43 Office and Administrative Support 13.2% 15.4%

45 Farming, Fishing, and Forestry 17.4% 16.0%

47 Construction and Extraction 2.5% 2.4%

49 Installation, Maintenance, and Repair 2.8% 3.4%

51 Production 3.5% 3.3%

53 Transportation and Material Moving 6.1% 6.9%

Total 100.0% 100.0% Source: CA EDD OES for Monterey County and the State by Industry, calibrated to Monterey County data.

In order to calibrate the industry demand for occupations to the OES occupational distribution, we created a crosswalk model that focuses on reconciling the percent distribution rather than the job

21

22

counts. As shown in the table below, the estimate based on the industry occupational data is fairly close for most occupations to EDD’s OES estimates. The individual industry files that produce the aggregate distribution shown in Table A-1 are provided in this appendix and can be used to project occupational demand from future growth in each industry in response to the County’s economic development targets.

SOC 11 13 15 17 19 21 23

NAICS Industry/Occupation Management

Business and

Financial Operations

Computer and

Mathematical

Architecture and

Engineering

Life, Physical,

and Social

Science

Community and Social Services Legal

11 Agriculture, Forestry, Fishing and Hunting 5.3% 2.4% 0.0% 0.0% 0.1% 0.0% 0.0%

21 Mining, Quarrying, and Oil and Gas Extraction 4.2% 4.2% 0.0% 0.7% 2.1% 0.0% 0.0%

22 Utilities 6.3% 16.3% 4.1% 6.3% 1.0% 0.0% 0.0%

23 Construction 5.2% 3.2% 0.1% 0.9% 0.1% 0.0% 0.0%

31-33 Manufacturing 8.4% 4.4% 4.5% 6.5% 1.1% 0.0% 0.1%

42 Wholesale Trade 8.0% 4.6% 3.5% 1.2% 0.5% 0.0% 0.1%

44-45 Retail Trade 2.4% 1.1% 0.6% 0.0% 0.0% 0.0% 0.0%

48-49 Transportation and Warehousing 3.8% 1.1% 0.2% 0.0% 0.0% 0.0% 0.0%

51 Information 12.9% 7.9% 13.5% 1.0% 0.7% 0.0% 0.3%

52 Finance and Insurance 8.3% 24.0% 4.6% 0.0% 0.2% 0.0% 0.8%

53 Real Estate and Rental and Leasing 15.8% 5.2% 0.6% 0.0% 0.5% 0.0% 0.5%

54 Professional, Scientific, and Technical Services 10.6% 13.5% 15.0% 8.6% 7.0% 0.1% 7.2%

55 Management of Companies and Enterprises 21.5% 20.1% 7.4% 1.3% 0.9% 0.6% 0.4%

56 Administrative and Support and Waste Management 3.6% 3.6% 2.0% 0.8% 0.2% 0.0% 0.1%

61 Educational Services 2.4% 1.5% 0.9% 0.1% 0.8% 1.4% 0.0%

62 Health Care and Social Assistance 2.8% 1.2% 0.4% 0.0% 0.6% 4.4% 0.0%

71 Arts, Entertainment, and Recreation 3.8% 1.7% 0.1% 0.0% 0.1% 0.0% 0.0%

72 Accommodation and Food Services 0.9% 0.3% 0.0% 0.0% 0.0% 0.0% 0.0%

81 Other Services (except Public Administration) 4.2% 3.8% 0.5% 0.0% 0.1% 4.4% 0.1%

99 Government 4.2% 11.5% 2.7% 3.1% 3.2% 5.3% 2.6%

1

SOC 25 27 29 31 33 35 37

NAICS

Education, Training,

and Library

Arts, Design, Entertainment,

Sports, and Media

Healthcare Practitioners

and Technical

Healthcare Support

Protective Service

Food Preparation

and Serving-Related

Building and Grounds Cleaning

and Maintenance

11 Agriculture, Forestry, Fishing and Hunting 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 1.3%

21 Mining, Quarrying, and Oil and Gas Extraction 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

22 Utilities 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%

23 Construction 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.2%

31-33 Manufacturing 0.0% 0.8% 0.0% 0.0% 0.1% 0.2% 0.4%

42 Wholesale Trade 0.0% 1.0% 0.0% 0.0% 0.0% 0.0% 0.1%

44-45 Retail Trade 0.0% 0.6% 2.1% 0.6% 0.4% 2.7% 0.3%

48-49 Transportation and Warehousing 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.1%

51 Information 0.1% 24.5% 0.0% 0.0% 0.0% 1.4% 0.2%

52 Finance and Insurance 0.0% 0.3% 0.2% 0.0% 0.0% 0.0% 0.1%

53 Real Estate and Rental and Leasing 0.0% 0.6% 0.0% 0.0% 0.0% 0.5% 4.6%

54 Professional, Scientific, and Technical Services 0.1% 4.6% 1.1% 0.7% 0.1% 0.0% 0.2%

55 Management of Companies and Enterprises 0.0% 2.2% 0.5% 0.1% 0.4% 0.0% 0.4%

56 Administrative and Support and Waste Management 0.0% 0.3% 3.7% 1.1% 11.5% 0.8% 21.5%

61 Educational Services 76.5% 1.0% 0.8% 0.2% 0.6% 1.3% 1.9%

62 Health Care and Social Assistance 2.9% 0.1% 40.6% 25.0% 0.2% 1.6% 1.5%

71 Arts, Entertainment, and Recreation 1.3% 16.9% 0.1% 0.4% 1.9% 18.0% 5.9%

72 Accommodation and Food Services 0.0% 0.0% 0.0% 0.0% 0.6% 84.3% 5.3%

81 Other Services (except Public Administration) 3.3% 2.3% 0.0% 1.0% 0.5% 1.3% 3.5%

99 Government 2.0% 0.6% 3.2% 0.6% 18.2% 1.5% 2.9%

2

3

SOC 39 41 43 45 47 49 51 53

NAICS

Personal Care and Service

Sales and

Related

Office and Administrative

Support

Farming, Fishing,

and Forestry

Construction and

Extraction

Installation, Maintenance,

and Repair Production

Transportation and Material

Moving

11 Agriculture, Forestry, Fishing and Hunting 0.6% 0.0% 14.1% 59.3% 0.0% 3.6% 2.3% 10.8%

21 Mining, Quarrying, and Oil and Gas Extraction 0.0% 1.4% 9.8% 0.0% 53.1% 8.4% 6.3% 9.8%

22 Utilities 0.0% 1.2% 23.4% 0.0% 6.3% 23.4% 11.0% 0.5%

23 Construction 0.0% 1.5% 10.0% 0.0% 70.7% 5.3% 1.0% 1.9%

31-33 Manufacturing 0.0% 2.9% 11.2% 0.8% 0.6% 3.1% 48.6% 6.4%

42 Wholesale Trade 0.0% 21.2% 29.9% 0.6% 0.1% 4.8% 3.6% 20.9%

44-45 Retail Trade 0.3% 56.2% 17.5% 0.1% 0.3% 4.6% 2.8% 7.3%

48-49 Transportation and Warehousing 4.7% 1.7% 24.6% 0.0% 0.0% 5.3% 0.5% 57.9%

51 Information 2.3% 8.6% 16.3% 0.0% 0.3% 7.3% 1.5% 1.1%

52 Finance and Insurance 0.0% 13.2% 48.3% 0.0% 0.0% 0.0% 0.0% 0.0%

53 Real Estate and Rental and Leasing 0.7% 26.3% 24.0% 0.0% 0.9% 13.4% 0.2% 6.3%

54 Professional, Scientific, and Technical Services 0.0% 5.0% 23.4% 0.0% 0.6% 0.5% 1.1% 0.6%

55 Management of Companies and Enterprises 0.0% 5.9% 30.5% 0.1% 0.2% 1.6% 0.7% 5.2%

56 Administrative and Support and Waste Management 0.6% 4.8% 22.7% 0.2% 3.5% 2.1% 6.3% 10.7%

61 Educational Services 1.1% 0.1% 8.4% 0.0% 0.1% 0.4% 0.0% 0.3%

62 Health Care and Social Assistance 3.8% 0.2% 13.7% 0.0% 0.0% 0.5% 0.2% 0.4%

71 Arts, Entertainment, and Recreation 30.0% 7.1% 8.6% 0.0% 0.5% 3.1% 0.1% 0.6%

72 Accommodation and Food Services 0.7% 1.8% 3.2% 0.0% 0.0% 0.8% 0.5% 1.4%

81 Other Services (except Public Administration) 35.4% 4.1% 10.6% 0.0% 0.1% 11.6% 5.9% 7.1%

99 Government 2.7% 0.6% 22.2% 0.4% 2.8% 3.9% 1.4% 4.4%

APPENDIX B: DETAILED JOBS TO LABOR FORCE OCCUPATIONAL COMPARISON

SOC Code Occupational Title Jobs Labor Force Diff.

Total: 153,740 172,198 18,458 45-1000 45-2099 Agricultural workers including supervisors 26,680 18,090 (8,590)

35-3000 35-3041 Food and beverage serving workers except waiters/waitresses 3,950 1,796 (2,154)

25-3000 25-9099 Other teachers and instructors, education, training, and library occupations 5,040 3,065 (1,975)

35-1000 35-2021 Cooks and food preparation workers 5,320 3,698 (1,622)

43-1000 43-9199 Other office and administrative support workers including supervisors 5,610 4,128 (1,482)

41-2000 Retail sales workers except cashiers 5,530 4,147 (1,383)

43-5000 Material recording, scheduling, dispatching, and distributing workers 3,250 2,542 (708)

29-2000 Health technologists and technicians 2,792 2,219 (573)35-3031 Waiters and waitresses 3,240 2,673 (567)31-9000 Other healthcare support occupations 2,110 1,547 (563)

43-3000 Financial clerks except bookkeeping, accounting, and auditing clerks 1,450 1,035 (415)

15-1000 Computer specialists 2,385 2,027 (358)13-2099 Other financial specialists 1,290 940 (350)11-1000 Top executives 2,150 1,802 (348)

53-1000 Supervisors, transportation and material moving workers 520 219 (301)

27-3000 27-4000 Media and communication equipment workers 1,080 840 (240)43-2000 Communications equipment operators 210 0 (210)43-6000 Secretaries and administrative assistants 3,250 3,068 (182)53-6000 Other transportation workers 150 0 (150)51-6000 Textile, apparel, and furnishings workers 450 301 (149)17-1000 Architects, surveyors, and cartographers 80 0 (80)

43-4000 Information and record clerks except customer service representatives 3,810 3,736 (74)

13-1000 Business operations specialists 2,150 2,082 (68)

31-2000 Occupational and physical therapist assistants and aides 120 55 (65)

53-3000 53-3099 Motor vehicle operators except bus and truck drivers 260 195 (65)19-4000 Life, physical, and social science technicians 240 183 (57)

35-9000 Other food preparation and serving workers including supervisors 2,130 2,079 (51)

Occupational Health and Safety Specialists 30 (30)39-6000 Transportation, tourism, and lodging attendants 220 191 (29)47-3000 47-4000 Other construction workers and helpers 290 264 (26)

27-2000 Entertainers and performers, sports, and related workers 280 267 (13)

51-8000 Plant and system operators 210 200 (10)43-3031 Bookkeeping, accounting, and auditing clerks 1,780 1,772 (8)23-1000 Judges, magistrates, and other judicial workers 0 0 47-5000 Extraction workers 151 151 0

1

51-7000 Woodworkers 30 32 2 45-3000 45-4000 Fishing and hunting, and forest and logging workers 140 143 3 21-2000 Religious workers 300 312 12 25-2031 Secondary school teachers 1,150 1,166 16

11-2000 Advertising, marketing, promotions, public relations, and sales managers 710 738 28

13-2011 Accountants and auditors 1,820 1,857 37 27-1000 Art and design workers 890 927 37 17-3000 Drafters, engineering, and mapping technicians 440 488 48 51-5000 Printing workers 80 129 49 15-2000 Mathematical science occupations 25 141 116

41-3000 41-4000 Sales representatives, services, wholesale and manufacturing 2,220 2,336 116

25-2043 Special education teachers 220 339 119

33-1021 33-2000 Fire fighting and prevention workers including supervisors 700 834 134

29-1011 25-1069 Physicians and surgeons 748 891 143

25-2011 25-2022 Preschool, kindergarten, elementary and middle school teachers 3,620 3,768 148

19-3000 Social scientists and related workers 250 410 160 31-1000 Nursing, psychiatric, and home health aides 1,600 1,784 184 33-1099 33-9000 Other protective service workers including supervisors 1,820 2,017 197 51-3000 Food processing workers 480 717 237 25-4000 Librarians, curators, and archivists 320 570 250

53-7199 Material moving workers except laborers and material movers, hand 594 865 271

25-1000 Postsecondary teachers 1,250 1,573 323

47-2000 47-2221

Construction trades workers except carpenters, electricians, painters, plumbers, and construction laborers 960 1,304 344

29-1122 29-1126 Therapists 70 459 389 19-1000 19-2000 Life and physical scientists 620 1,014 394 47-2141 Painters and paperhangers 320 735 415 47-2111 Electricians 350 768 418

11-3000 Operations specialties managers except financial managers 730 1,197 467

49-3000 Vehicle and mobile equipment mechanics, installers, and repairers 1,775 2,245 470

47-2152 Pipelayers, plumbers, pipefitters, and steamfitters 230 705 475 17-2000 Engineers 500 986 486 29-1111 Registered nurses 2,580 3,082 502 47-1000 Supervisors, construction and extraction workers 300 822 522 23-2000 Legal support workers 170 707 537 51-2000 Assemblers and fabricators 390 951 561 53-3021 53-3022 Bus drivers 766 1,364 598 11-9011 Farmers and farm managers 160 786 626 23-1011 Lawyers 370 1,023 653 11-3031 Financial managers 520 1,184 664

49-1000 49-9099

Electrical equipment mechanics and other installation, maintenance, and repair occupations including supervisors 2,475 3,139 664

2

51-4000 Metal workers and plastic workers 180 854 674

21-1000 Counselors, social workers, and other community and social service specialists 1,290 2,046 756

29-1071 29-1131 Other health diagnosing and treating practitioners and technical occupations 300 1,112 812

47-2031 Carpenters 710 1,536 826 39-5000 Personal appearance workers 560 1,427 867 47-2061 Construction laborers 589 1,521 932 51-1000 51-9198 Other production occupations including supervisors 3,610 4,692 1,082 33-1012 33-3000 Law enforcement workers including supervisors 2,350 3,454 1,104 41-2011 Cashiers 3,480 4,664 1,184 23-0000 Legal occupations: 540 1,730 1,190 43-4051 Customer service representatives 970 2,272 1,302 39-9011 Child care workers 770 2,319 1,549 53-3031 53-3033 Driver/sales workers and truck drivers 2,550 4,249 1,699

39-1000 39-9032

Supervisors and other personal care and service workers except personal appearance, transportation, and child care workers 1,410 3,672 2,262

53-7000 Material moving workers: 4,480 7,476 2,996 41-1000 41-9099 Other sales and related workers including supervisors 1,910 5,629 3,719

11-9000 Other management occupations except farmers and farm managers 2,100 6,936 4,836

25-2000 Primary, secondary, and special education school teachers: 5,273 5,273 53-7062 Laborers and material movers, hand 6,611 6,611

Source: CA EDD OES and American Community Survey

3

APPENDIX C: ADDITIONAL DEMOGRAPHIC CHARACTERISTICS OF THE LABOR FORCE

TABLE 12 EDUCATIONAL ATTAINMENT FOR THE POPULATION 25

YEARS AND OVER - Estimate Percent

Total: 252,268 100.0%

Less than High School 77,157 30.6%

Regular high school diploma 41,359 16.4%

GED or alternative credential 7,402 2.9%

Some college, less than 1 year 15,503 6.1%

Some college, 1 or more years, no degree 37,998 15.1%

Associate's degree 18,488 7.3%

Bachelor's degree 33,486 13.3%

Master's degree 14,288 5.7%

Professional school degree 4,319 1.7%

Doctorate degree 2,268 0.9%

Source: U.S. Census Bureau, 2009 American Community Survey

TABLE 13 TOTAL FIELDS OF BACHELOR'S DEGREES REPORTED -

UNIVERSE: POPULATION 25 YEARS AND OVER WITH A BACHELOR'S DEGREE OR HIGHER ATTAINMENT

Estimate Percent Total: [a] 59,148 Computers, Mathematics and Statistics 1,761 3.0% Biological, Agricultural, and Environmental Sciences 4,192 7.1%

Physical and Related Sciences 2,028 3.4%

Psychology 2,855 4.8%

Social Sciences 7,499 12.7%

Engineering 4,655 7.9%

Multidisciplinary Studies 1,137 1.9%

Science and Engineering Related Fields 3,567 6.0%

Business 8,710 14.7%

Education 5,410 9.1%

Literature and Languages 4,049 6.8%

Liberal Arts and History 5,135 8.7%

Visual and Performing Arts 3,478 5.9%

Communications 1,548 2.6%

Other 3,124 5.3% [a] Total is higher than Table 3 due to persons with multiple Bachelor degrees. Source: U.S. Census Bureau, 2009 American Community Survey

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TABLE 14: POPULATION, GENDER AND AGE

  2000 Percent 2010 Percent Change Percent Change

Total Population 401,762 100.0% 415,057 100.0% 13,295 3.3%

Male 207,941 51.8% 213,431 51.4% 5,490 2.6%

Female 193,821 48.2% 201,626 48.6% 7,805 4.0%

Median Age 31.7 32.9 1.2 3.8%

0-17 years 114,050 28.4% 111,013 26.7% -3,037 -2.7%

18 years and over 287,712 71.6% 304,044 73.3% 16,332 5.7%

Male 149,192 37.1% 156,347 37.7% 7,155 4.8%

Female 138,520 34.5% 147,697 35.6% 9,177 6.6%

21 years and over 268,645 66.9% 283,569 68.3% 14,924 5.6%

62 years and over 47,276 11.8% 55,622 13.4% 8,346 17.7%

65 years and over 40,299 10.0% 44,422 10.7% 4,123 10.2%

Male 17,125 4.3% 19,432 4.7% 2,307 13.5%

Female 23,174 5.8% 24,990 6.0% 1,816 7.8%

Source: US Bureau of the Census, Census 2010.