1. GOVERNOR’S CONFERENCE 2011 DRIVING DECISIONS WITH LMI ROUNDTABLE This project has been funded, either wholly or in part, with Federal funds from the Department of Labor, Employment & Training Administration under Task Order Number DOLJ061A20373; the mention of trade names, commercial products, or organizations does not imply endorsement of same by the U.S. Government. U.S. Department of Labor—Employment & Training Administration| Missouri Economic Research and Information Center| Missouri Department of Economic Development

2. 2 LMI for Outlook Decision Makers Tour of synthesized LMI portals for:  Historic and Current Conditions Labor Force Workforce  Cluster-Based Development Skills Gap  What strategic planning data would you like explored/discussed today? Or

3. 3 Missouri Economic Research & Information Center (MERIC) Economic Research Analyst Meredith Hill www.missourieconomy.org

4. 4 1.Workforce Investment Board 2.DWD Business Representatives 3.DED Business or Industry Representative 4.Rapid Response Coordinator 5.NGCC Staff 6.Elected Officials 7.Municipal or Regional Staff 8.Community Development Organization 9.Other 000000000000000000 Indicate your team. Your turn, please.

5. 5 What question would you like answered or discussed today? Labor Force – U.S. Census Bureau Workforce – LED Quarterly Workforce Indicators/OnTheMap Note – Occupational Employment Statistics Current Conditions Historic - Innovation in American Regions Future - Industry and Occupation Projections Cluster Analysis

6. 1.Office of Social and Economic Data Analysis 2.Local Employment Dynamics 3.Quarterly Census of Employment & Wages Where can I find such data? 000000 After reading about Graduate St. Louis, and the Workforce Consortium’s efforts to increase the educational attainment of the 25-64 year old resident population, I am interested in my region’s education profile.  What percent of the Cape Girardeau MSA is 25-64 years old?  What is the educational attainment of the population?  What is the employment Status of the population? Case Study

7. American Community Survey - OSEDA

8. 8 American Community Survey

9. 9 OSEDA Summary Tables  Age  Age & Sex  Race  Hispanic or Latino (Any Race)  Housing Occupancy & Tenure  Units in Structure  Year Structure Built  Year Householder Moved into Unit  Vehicles Available  House Heating Fuel  Selected Characteristics (Amenities)  Occupants per Room  Home Values  Selected Monthly Owner Costs  Gross Rent Demographic Housing

10. 10 OSEDA Summary Tables  Household Income & Benefits  Family Income & Benefits  Other Income Measures  Poverty Status  Employment Status  Children w/ Working Parents  Commuting to Work  Workers by Occupation/Industry  Class of Worker Economic  Persons/Household by Type  Relationships/Marital Status/Fertility  Grandparents as Caregivers  School Enrollment  Educational Attainment  Veteran Status  Disabled by Age  Residence 1 Year Ago  Place of Birth and Citizenship Status/Year of Entry  World Region of Birth of Foreign Born/Language Spoken at Home Social

11. 11 OSEDA Results Format - Chart Generation - Original Census Table Numbers Provided

12. 12 OSEDA – ACS Results Format Click on a single geography to see multiple years of ACS data Results are reported in a grey scale. The darker the color the more reliable the result (+/- margin of error)

13. 13 OSEDA – ACS Data Reliability CAUTION: “In Military” is barely visible because it has a +/- 179.25% possible margin of error.

14. 14 OSEDA Chart Options

15. Office of Social and Economic Data Analysis: mcdc1.missouri.edu/acsprofiles/acsprofilemenu.html Economic Indicators eLearning Webinar: Module 1: Lesson 1 – LMI Fundamentals http://www.missourieconomy.org/e_learning/index.stm Website Links

16. 1.American Community Survey 2.Local Employment Dynamics 3.Quarterly Census of Employment & Wages Where can I find such data? 000000 During case study conversations conducted by MERIC, in support of the State of St. Louis Workforce 2011 report, employers reported an aging workforce. I want to report this qualitative data in a quantitative way using labor market information.  I need to collect total employment by age cohort for the St. Louis MO-IL MSA. Case Study

17. 17 QWI – Detailed by State

18. LED – Quarterly Workforce Indicators & OnTheMap

19. 19 QWI by Age, Education or Race

20. 20 QWI – Detailed by Geography Step 1 Step 2. Note (MO Part) Step 3

21. 21 QWI – Workforce Trends 1. Double Check 2. Make Elections Table will change with each election Age, Ed, Race

22. 22 QWI – Detailed by Demographics

23. 23 QWI – Detailed by Demographics 2. Download Excel 1. Hold CONTROL to elect multiple years.

24. 24 QWI – Aging Workforce Summary St. Louis MSA (MO & IL Combined)

25. LED Quarterly Workforce Indicators: http://lehd.did.census.gov/led/datatools/qwi-online.html Economic Indicators eLearning Webinar: Module 3: Lesson 1 – LMI and Strategic Planning http://www.missourieconomy.org/e_learning/index.stm Website Links

26. 1.Petroleum and Coal Products Mfg 2.Architectural and Structural Metals Mfg 3.Computer and Peripheral Equipment Mfg Which is NOT a MO Advanced Mfg industry? 000000 Last month MERIC released the first of seven Target Cluster Analyses. The seven clusters were identified in the 2010 Strategic Initiative for Economic Growth developed by the Department of Economic Development. Cluster employment estimates and projections were used to determine the level of education/skills required by Missouri’s Advanced Manufacturing workers. Case Study

27. Target Industry Clusters Advanced Manufacturing Energy Solutions Biosciences Health Care Sciences & Services Transportation & Logistics Information Technology Financial & Professional Services

28. 28 Target Cluster Occupation Analysis  Strategic Initiative for Economic Growth  Missouri  Advanced Manufacturing  29 Industries (4-digit NAICS) 1. Food 2. Transportation Equipment 3. Fabricated Metal Product 4. Machinery 5. Chemical Step 1 Define the master geography Define the cluster by identifying included industries

29. Innovation In American Regions

30. 30 Cluster-Based Economic Development  Advanced Materials  Agribusiness  Apparel & Textiles  Arts, Entertainment, Recreation  Biomedical/Biotechnical  Business and Financial Services  Chemicals  Defense and Security  Education and Knowledge Creation Industry Clusters  Energy  Forest and Wood Products  Glass and Ceramics  Information Technology and Communications  Transportation and Logistics  Manufacturing Supercluster  Mining  Printing and Publishing

31. 31 Target Cluster Occupation Analysis  Staffing patterns are part of the BLS employment projections project.  Proprietary/confidential  For each industry, staffing patterns report:  The types of occupations, and  The number of jobs per occupation. A manufacturing plant might have a registered nurse on staff, but not as many as a hospital would have on staff. Step 2 Collect staffing patterns for each industry

32. National Staffing Patterns

33. 33 Target Cluster Occupation Analysis  782 Occupations in Missouri  395 Occupations in Missouri’s Advanced Manufacturing Cluster  Inspectors, Testers, Sorters, Samplers, and Weighers is in all 29 industries, but  Agricultural Engineers is only in 1 industry. Step 3 Aggregate staffing patterns by occupation

34. 34 Target Cluster Occupation Analysis Step 1 Define the master geography Define the cluster by identifying included industries Step 2 Collect staffing patterns for each industry Step 3 Aggregate staffing patterns by occupation Step 4 Apply staffing patterns to an employment data set  Long Term Occupation Projections

35. 35 1.All the time/I’m an expert 2.Often/I understand their application 3.Sometimes/I understand the work of colleagues 4.Infrequently/I am sure they are used in reports I rely on but I don’t know their process 5.Never/I don’t think they are applicable to my work 0% How often do you use staffing pattern information in your routine work? Industry/Occupation Staffing Patterns

36. 36 Cluster Workforce Analysis Advanced Manufacturing Estimated 2008 % 2008 Cluster Jobs Projected 2018 % 2018 Cluster Jobs All 395 Occupations 29 Industries 191,431177,992 Civil Engineers 4 Industries 2,9101.523,2541.83 Helpers – Production Workers 22 Industries 2,7981.462,3871.34 1.What is the distribution of jobs, by occupation, for a cluster? 2.Is the distribution projected to change?

37. 37 Education Required by Skills Level First Professional degree Doctoral degree Master’s degree Bachelor’s or higher degree Bachelor’s degree High Associate degree Postsecondary vocational award Work experience in a related occupation Long-term on-the-job training Moderate-term on-the-job training Middle Short-term on-the-job training Low

38. 38 Cluster Workforce Analysis Advanced Manufacturing Occupations % of 2008 Cluster Jobs % of 2008-18 Jobs to fill 125 occupations require high skills29.634.0 214 occupations require middle skills56.553.7 56 occupations require low skills13.912.3 3.What is the current jobs distribution by occupation skill level? 4.What is the distribution for the projected jobs to be filled (new and replaced)?

39. 39 Cluster Workforce Analysis 5.How do the skill levels needed for Advanced Manufacturing compare to all projected jobs for Missouri?

40. Missouri Target Industry Clusters: www.missourieconomy.org/pdfs/MoTargetsAdvancedManufacturing. pdf Innovation in American Regions: www.statsamerica.org/innovation/index.htmlwww.statsamerica.org/innovation/index.html/ Economic Indicators eLearning Webinar: Module 2: Lesson 1 – Creating a Career Pathway http://www.missourieconomy.org/e_learning/index.stm Website Links

41. 41 1.Jobs by Occupation 2.Jobs by Education/Skill 3.Occupations by Industry/Cluster 4.Cluster Reports including Establishments, Employment & Wages 5.Regional Comparisons 6.Statewide data 7.All of the above 0% What type of data analysis is most useful to you? (Elect all that apply) Occupation and Job Numbers

42. Go Live

43. 43 Thank you for your participation! Economic Research Analyst 573-751-0288 meredith.hill@ded.mo.gov Southeast/South Central Regions Tony Brite - Northwest Tom Reichart - Northeast John Kozel - Central Sonal Hate - Ozark/Southwest/ Kansas City Vicinity (Mike Muin) - St. Louis (Lindsey Peters) - West Central Meredith HillRegional Liaisons