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GOVERNOR’S CONFERENCE 2011DRIVING 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
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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
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Missouri Economic Research & Information Center (MERIC)
Economic Research Analyst
Meredith Hill
www.missourieconomy.org
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1. Workforce Investment Board2. DWD Business Representatives3. DED Business or Industry Representative4. Rapid Response Coordinator5. NGCC Staff6. Elected Officials7. Municipal or Regional Staff8. Community Development Organization9. Other
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Indicate your team.
Your turn, please.
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What question would you likeanswered or discussed today?
•Labor Force – U.S. Census Bureau
•Workforce – LED Quarterly Workforce Indicators/OnTheMap
•Note – Occupational Employment Statistics
Current Conditio
ns
•Historic - Innovation in American Regions
•Future - Industry and Occupation Projections
ClusterAnalysis
1. Office of Social and Economic Data Analysis2. Local Employment Dynamics3. Quarterly Census of Employment & Wages
Where can I find such data?0
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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
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American Community Survey
Decennial DecennialCensus Census
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Annual, Period Estimates Based on SizePointEstimates
A Look at "Census Data"
("Census" - Complete Count)(Samples with Margins of Error +/-)
One Year 65,000+
Three Year 20,000+
Five Year Small Areas
Under 20,000
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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
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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
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OSEDA Results Format
- Chart Generation
- Original Census Table Numbers Provided
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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)
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OSEDA – ACS Data Reliability
CAUTION: “In Military” is barely visible because it has a +/- 179.25% possible margin of error.
Office of Social and Economic Data Analysis: mcdc1.missouri.edu/acsprofiles/acsprofilemenu.html
Economic Indicators eLearning Webinar:Module 1: Lesson 1 – LMI Fundamentalshttp://www.missourieconomy.org/e_learning/index.stm
Website Links
1. American Community Survey2. Local Employment Dynamics3. Quarterly Census of Employment &
Wages
Where can I find such data?0
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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
LED – Quarterly Workforce Indicators & OnTheMap
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QWI – Workforce Trends
1. Double Check
2. Make Elections
Table will change
with each election
Age, Ed, Race
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Total14-18 19-21 22-24 25-34 35-44 45-54 55-64 65-99 Employment
1996 4.42 5.29 6.10 25.78 27.56 19.22 8.83 2.81 1,238,5531997 4.53 5.37 6.00 25.04 27.71 19.64 9.01 2.69 1,271,1191998 4.58 5.53 5.93 24.02 27.59 20.17 9.35 2.83 1,291,7821999 4.61 5.70 6.10 23.36 27.40 20.69 9.38 2.75 1,304,7432000 4.64 5.79 6.15 22.55 26.97 21.40 9.48 3.01 1,332,0322001 4.38 5.75 6.27 22.18 26.40 22.07 9.98 2.97 1,313,3392002 4.09 5.65 6.43 21.92 25.65 22.54 10.60 3.12 1,313,3342003 3.96 5.63 6.59 21.74 24.92 22.95 11.08 3.13 1,297,7592004 3.77 5.52 6.60 21.64 24.21 23.33 11.62 3.31 1,314,0982005 3.73 5.56 6.58 21.54 23.62 23.65 12.07 3.27 1,318,4142006 3.65 5.47 6.46 21.44 23.02 23.81 12.64 3.50 1,338,7312007 3.54 5.38 6.47 21.71 22.36 23.86 13.10 3.57 1,339,9752008 3.30 5.18 6.30 21.81 21.77 24.00 13.78 3.86 1,333,5532009 2.78 5.09 6.24 22.03 21.29 24.17 14.48 3.92 1,256,714
% Change -37% -4% 2% -15% -23% 26% 64% 39%
Workforce Age CohortFourth Quarter
QWI – Aging Workforce Summary
St. Louis MSA (MO & IL Combined)
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 Planninghttp://www.missourieconomy.org/e_learning/index.stm
Website Links
1. Petroleum and Coal Products Mfg2. Architectural and Structural Metals Mfg3. Computer and Peripheral Equipment Mfg
Which is NOT a MO Advanced Mfg industry?
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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
Target Industry Clusters
AdvancedManufactur
ing
Energy Solutions
Biosciences
Health Care
Sciences &Services
Transportation
& Logistics
Information Technology
Financial & Professiona
lServices
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Target Cluster Occupation Analysis
Strategic Initiative for Economic Growth Missouri
Advanced Manufacturing 29 Industries (4-digit NAICS)
1. Food2. Transportation Equipment3. Fabricated Metal Product4. Machinery5. Chemical
Step 1
•Define the master geography
•Define the cluster by identifying included industries
Innovation In American Regions
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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
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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
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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
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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
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1. All the time/I’m an expert2. Often/I understand their application3. Sometimes/I understand the work
of colleagues4. 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
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How often do you use staffing pattern information in your routine work?
Industry/Occupation Staffing Patterns
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Cluster Workforce Analysis
Advanced Manufacturing
Estimated
2008
% 2008
Cluster Jobs
Projected
2018
% 2018
Cluster Jobs
All 395 Occupations 29 Industries
191,431 177,992
Civil Engineers 4 Industries
2,910 1.52 3,254 1.83
Helpers – Production Workers 22 Industries
2,798 1.46 2,387 1.34
1. What is the distribution of jobs, by occupation, for a cluster?
2. Is the distribution projected to change?
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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
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Cluster Workforce Analysis
Advanced ManufacturingOccupations % of 2008
Cluster Jobs
% of 2008-18 Jobs to
fill
125 occupations require high skills
29.6 34.0
214 occupations require middle skills
56.5 53.7
56 occupations require low skills
13.9 12.3
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)?
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Cluster Workforce Analysis
5. How do the skill levels needed for Advanced Manufacturing compare to all projected jobs for Missouri?
Missouri Target Industry Clusters: www.missourieconomy.org/pdfs/MoTargetsAdvancedManufacturing.pdf
Innovation in American Regions: www.statsamerica.org/innovation/index.html/
Economic Indicators eLearning Webinar:Module 2: Lesson 1 – Creating a Career Pathwayhttp://www.missourieconomy.org/e_learning/index.stm
Website Links
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1. Jobs by Occupation2. Jobs by Education/Skill3. Occupations by Industry/Cluster4. Cluster Reports including
Establishments, Employment & Wages
5. Regional Comparisons6. Statewide data7. All of the above
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0%
0%
0%
0%
0%
0%
What type of data analysis is most useful to you? (Elect all that apply)
Occupation and Job Numbers
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Thank you for your participation!
Economic Research Analyst
573-751-0288
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 Hill Regional Liaisons