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Center for Workforce Information & Analysis Kim DeLellis Spring 2011

Industries & Occupations: Keystones of LMI. Center for Workforce Information & Analysis Kim DeLellis Spring 2011. Agenda. Terminology Examining Industries Exploring Occupations. 2. Terminology. Industry – the type of business or organization where you work

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Center for Workforce Information & Analysis Kim DeLellis Spring 2011

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  1. Industries & Occupations: Keystones of LMI Center for Workforce Information & Analysis Kim DeLellis Spring 2011

  2. Agenda • Terminology • Examining Industries • Exploring Occupations 2

  3. Terminology • Industry – the type of business or organization where you work • Occupation – the job duties that you actually do at work • Example: Industry - Hospital • Occupation - Nurse 3

  4. Examining Industries • Jobs Data • (Quarterly Census of Employment & Wages) • Industry Projections • Targeted Industry Clusters • Location Quotients 4

  5. Jobs Data • Quarterly Census of Employment & Wages (QCEW) • Includes average number of establishments, employment & weekly wages • Produced quarterly & annually for PA & all counties • Available at the 2,3,4 or 5-digit NAICS level • (NAICS = North American Industry Classification System) 5

  6. Industry Projections • Estimated employment levels and 10-year outlook for a specific industry • Main input is QCEW data • Developed at 4-digit NAICS level • Produced every 2 years for PA, MSAs and WIAs • Estimates, not exact counts • Includes full- and part-time job holders 6

  7. Industry Projections - Example 7

  8. Targeted Industry Clusters (TICs) • A group of industries that are closely linked by common product markets, labor pools, similar technologies, supplier chains and/or other economic ties. • Activities that benefit one industry in the cluster often benefit other industries too • PA has defined 11 clusters and 7 sub-clusters • Cornerstone of Pennsylvania’s data-driven approach to workforce development 8

  9. Targeted Industry Clusters (TICs) • Advanced Materials & Diversified Mfg (AMDM) • Chemicals, Rubber & Plastics • Electronics • Metals & Metal Fabrication • Printing • Vehicle & Vehicle Equipment • Agriculture & Food Production (AFP) • Bio-Medical (BM) • Building & Construction (BC) • Business & Financial Services (BFS) • Business Services • Finance & Insurance • Education (ED) • Energy (ENGY) • Health Care (HC) • Information & Communication Services (ICS) • Logistics & Transportation (LT) • Lumber, Wood & Paper (LWP) 9

  10. Location Quotients (LQ) • A location quotient (LQ) is another measure of industry strength • LQ’s compare local employment with its share of national (or state) employment. • An LQ > 1 indicates more employment locally than typically expected. This implies a possible competitive advantage. 10

  11. Exploring Occupations • Occupational Employment Projections • Competition • Occupational Wages • Other Data Elements • Real-Time Information 11

  12. Long-Term Occupational Projections • Estimated employment levels and 10-year demand for a specific occupation • Openings due to growth or industry expansion • Openings needed to replace workers who vacate, change jobs or leave the labor force because of death, retirement, disability or withdrawal for personal reasons • Based largely on employer input to the Occupational Employment Statistics Survey • Full- and part-time workers, incl. agriculture, private household, unpaid family and self-employed • Produced every two years for state, MSAs and WIAs 12

  13. Occupational Projections - Example 13

  14. Local Area Projections 14

  15. Connecting Industries & Occupations • Staffing patterns identify the occupations that are most commonly found within the selected industry • Occupations may “compete” for workers across various industries/clusters. 15

  16. Occupational Wages • Annual & hourly wages - 2009 • Average, Median, Entry & Experienced Levels • Includes full- and part-time workers • Cross-industry information available for: PA, MSA, WIA & County • Occupation wages by industry available for statewide only. 16

  17. Occupational Wages - Example 17

  18. Other Data Elements • Also need to consider how many people are already available to fill a job. • Current Employment • Occupational Unemployment Rates • Training Completers vs. Openings 18

  19. Real-Time: Help Wanted Online (HWOL) Data • Real-time data set that measures employer demand through the universe of online job postings • Job postings come from sites such as Monster, CareerBuilder, employer sites and state job boards • CWIA compiles the postings into lists by industry, occupation and employer • Readily available in CWIA’s Fast Facts publication 19

  20. CWIA Contact Info • Kim DeLellis 717-772-1364 • Email: kdelellis@state.pa.us • Customer Response Line: 877-493-3282 • Email: workforceinfo@state.pa.us • On the web: www.paworkstats.state.pa.us 20

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