LABOR MARKET REPORT Child Development Occupations In San Diego and Imperial Counties February 2012
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This labor market report provides statistical information on occupations and industries within the San Diego and Imperial county region with a focus on occupations related to child development and teaching. In order to obtain labor market data, the relevant standard occupational classification (SOC) titles were identified. The following standard occupation titles have been included in this report: Child care workers (SOC 39-9011) Teacher assistants (SOC 25-9041) Preschool teachers, except special education (SOC 25-2011) Education administrators, preschool and child care center/program (SOC 11-9031) Occupations In the area of child development, the largest occupation by 2011 employment is Child Care Workers. In 2011 this occupation accounted for 24,886 jobs and is projected to increase to 27,698 jobs over the next seven years. The next largest occupation is Teacher Assistants, which accounted for 14,691 jobs in 2011. Preschool Teachers follow the above mentioned occupations, with 4,340 jobs for the same year. Two of the occupations identified require on-the-job training while the other two require a certificate and a four year degree. Among these occupations the highest earnings are paid to Teacher Assistants at a median hourly wage of $16.91. Education Administrators, Preschool and Child Care Center/Program occupations closely follow with a median hourly wage of $15.71 (see Table 1). Table 1 Occupations (sorted by 2011 jobs) Occupation 2011 2018 2011 Education level Jobs Jobs MHE* Child care workers (SOC 39-9011) 24,866 27,698 $9.32 Short-term on-the-job training Teacher assistants (SOC 25-9041) 14,691 15,740 $16.91 Short-term on-the-job training Preschool teachers, except special education (SOC 25-2011) 4,340 4,638 $12.31 Postsecondary vocational award Education administrators, preschool and child care center/program (SOC 11-9031) 719 751 $15.71 Degree plus work experience *MHE=Median Hourly Earnings Employment All listed occupations are expected to add employment over the next seven years. Child Care Workers represent the fastest growing occupation, with a projected growth of 11% over the next seven years. Preschool Teachers follow, with an expected growth rate of 7% over the coming seven year period. Table 2 displays absolute and percentage growth statistics for the four occupations. Table 2 Occupational Employment Projections (sorted by % growth) SOC Code Description 2011 2018 Jobs Openings* Growth % Growth Jobs 39-9011 Child care workers 24,866 27,698 7,385 2,832 11% 25-2011 Preschool teachers, except special 4,340 4,638 870 298 7% education 25-9041 Teacher assistants 14,691 15,740 3,255 1,049 7% Centers of Excellence Real-time data to advance community colleges 3
SOC Code Description 2011 2018 Jobs Openings* Growth % Growth Jobs 11-9031 Education administrators, preschool and child care center/program 719 751 175 32 4% Totals 44,616 48,827 11,684 4,211 7% *Openings = New + Replacement Jobs Regional Employment Concentration The San Diego and Imperial county region has a slightly higher concentration of Child Care Workers than the national average, as illustrated by Figure 1. Child Care Workers have a location quotient 1 (LQ) of 1.03 for 2011 which is expected decrease slightly to 1.02 by 2018. All other identified occupations are no more concentrated in the region of study than the state average. Table 3 provides LQ details for all of the identified occupations. Figure 1 Occupational Concentration Table 3 Location Quotient Detail SOC Code Description 2011 Jobs 2011 LQ 2018 LQ 39-9011 Child care workers 24,866 1.03 1.02 25-9041 Teacher assistants 14,691 0.98 0.97 25-2011 Preschool teachers, except special education 4,340 0.81 0.76 11-9031 Education administrators, preschool and child care center/program 719 0.97 0.93 Totals 44,616 0.98 0.97 Industries Industries in the San Diego and Imperial county region that employ the identified occupations are listed below with their corresponding North American Industry Classification System (NAICS) codes: Private Households (814110) 1 See Data Sources and Calculations section for more information about Location Quotient. Centers of Excellence Real-time data to advance community colleges 4
Child Day Care Services (624410) Religious Organizations (813110) Colleges, Universities, and Professional Schools (611310) Elementary and Secondary Schools (611110) Civic and Social Organizations (813410) All of the listed six industries are expected to grow in jobs over the next seven years. By 2018 the Colleges, Universities, and Professional Schools industry is expected to grow the fastest at 23%, resulting in a projected total of 16,138 jobs by 2018. The Private Households industry follows closely with an expected growth rate of 22% resulting in a projected 35,155 jobs by 2018 (see Figure 2). The Colleges, Universities, and Professional Schools industry leads with the highest average earnings per worker (EPW) at $49,517 annually, while the Private Households industry reports the lowest EPW at $11,632 annually. Figure 2 Industries employing child development occupations 35,155 28,783 2011 Jobs 2018 Jobs 15,398 16,295 14,727 15,123 16,138 13,129 6,193 7,166 5,558 5,949 Private Households Child Day Care Services Religious Organizations Colleges, Universities, and Professional Schools Elementary and Secondary Schools Civic and Social Organizations Centers of Excellence Real-time data to advance community colleges 5
The map below depicts the location clusters of the top 2 industries regarding Child Development in the study area. Map 1 - Top Industries in San Diego and Imperial County Centers of Excellence Real-time data to advance community colleges 6
Data Sources and Calculations Labor market data presented in this report were obtained from EMSI, Inc. at www.economicmodeling.com. EMSI provides the following clarification on the data source and calculations: Occupation Data Organizing regional employment information by occupation provides a workforce-oriented view of the regional economy. EMSI's occupation data are based on EMSI's industry data and regional staffing patterns taken from the Occupational Employment Statistics program (U.S. Bureau of Labor Statistics). Wage information is partially derived from the American Community Survey. The occupation-to-program (SOC-to-CIP) crosswalk is based on one from the U.S. Department of Education, with customizations by EMSI. Industry Data In order to capture a complete picture of industry employment, EMSI basically combines covered employment data from Quarterly Census of Employment and Wages (QCEW) produced by the Department of Labor with total employment data in Regional Economic Information System (REIS) published by the Bureau of Economic Analysis (BEA), augmented with County Business Patterns (CBP) and Nonemployer Statistics (NES) published by the U.S. Census Bureau. Projections are based on the latest available EMSI industry data, 15-year past local trends in each industry, growth rates in statewide and (where available) sub-state area industry projections published by individual state agencies, and (in part) growth rates in national projections from the Bureau of Labor Statistics. Location Quotient Location quotient (LQ) is a way of quantifying how concentrated a particular industry, cluster, occupation, or demographic group is in a region as compared to the nation. It can reveal what makes a particular region unique in comparison to the national average. As a rule of thumb LQs of 1.2 or higher indicates some degree of specialization for that occupation, for that region. Location quotients of 0.8 to 1.1 indicate a normal distribution of occupations within the region, i.e. the region is no more specialized in that occupational area then the national average. Location quotients of less than 0.8 may indicate that the region has less specialization in that occupation for that region, as compared to the national average. State Data Sources This report uses state data from the following agencies: California Labor Market Information Department. Business location data was obtained from InfoGroup, Inc. Business mapping was done using geographic information system (GIS) software ArcGIS provided by Esri, Inc. Important Disclaimer All information and data included in this customized report have been produced from mentioned publicly and privately available secondary sources. Unlike Center of Excellence Environmental Scans, the information contained in customized reports has not been independently validated by employers, nor does it contain information on other community college and external programs. Efforts have been made to confirm the accuracy of the data and the reported findings; however, neither the Centers of Excellence, COE host District, nor California Community Colleges Chancellor s Office is responsible for applications or decisions made by recipient community colleges or their representatives based upon this report. Centers of Excellence Real-time data to advance community colleges 7