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SET Overview and Exploration of Regional Data Session 1
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The SET Process You are here
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Today, We Will Review the Regional SET Forum Explore the regional economic data: Regional industry clusters Employment and occupation Chart the next steps
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SET Purpose: Doing Better Together The regional team develops and implements a High Quality Regional Economic Development Plan that builds on the region’s current and emerging economic strengths.
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High Quality Plan: Essential Components Evidence-Based Focused on Regional Economic Development Aligned with Goals Broadly Supported Practical Team’s Regional Plan
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Guiding Principles for Our Discussions Sample ideas: Enter into the discussion enthusiastically. Give freely of your experience. Allow and encourage others to contribute. Listen attentively and take accurate notes. Ask questions when you don’t understand. Appreciate the other person’s point of view. Provide constructive feedback and receive it willingly. Keep confidences and assume others will. Confine your discussion to the topic.
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Round I: Forum Review
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Civic Engagement Forum Review Regional Strengths & Challenges Data Snapshot Reactions Opportunities
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Round II: Economic Data
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Data Scavenger Hunt: Thriving Businesses Number of employees Workforce skills needed Type of business (i.e. manufacturing, retail, health services) Average earnings County Size Large=over 100 employees Small= under 100 Other businesses/industries for which it is providing support
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Getting the Big Picture in Mind What are the region’s largest businesses and industries? What goods and services do they purchase? Are these products/services available within the region? What other businesses connect to each of these larger ones?
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Round III: Explain, Examine, and Explore COACHES: Insert regional data in place of sample tables throughout this section
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Industry & Occupation
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14 Industry and occupation section 02 Establishments Source: Youreconomy.org database An establishment is a physical business location. Branches, standalones and headquarters are all considered types of establishments. Definition of Company Stages 0 1 2 3 4 Self- employed 2-9 employees 10-99 employees 100-499 employees 500+ employees Components of Change for Establishments 2000-2013 Establishments Launched 11,395 Establishments Closed 9,475 Net Change 1,920 Net Migration (Establishments moving into minus Establishments moving out of the region) 110 Total Change 2,030 Percent Change 39.3% * The difference in “total change” between year-by-year and year-to-year is because of the residuals.
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15 Industry and occupation section 02 Establishments Source: Youreconomy.org database Number of Establishments by Company Stages 20002013 StageEstablishmentsProportionEstablishmentsProportion Stage 0 1,39627.0%1,94226.9% Stage 1 2,98657.8%4,39960.9% Stage 2 71913.9%82211.4% Stage 3 551.1%570.8% Stage 4 70.1%4 Total 5,163100.00%7,224100.00% Questions: What stage businesses have shaped the region’s economic growth in the last 10 years? Which ones are growing or declining the most? Which stage of establishments are likely to shape the region’s future economic growth?
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16 Industry and occupation section 02 Establishments Source: Youreconomy.org database Number of Jobs by Company Stages Year20002013% Change Stage 0 1,396 1,94239.1% Stage 1 10,376 13,58630.9% Stage 2 18,387 22,42722.0% Stage 3 9,326 10,0387.6% Stage 4 4,695 3,380-28.0% Total 44,180 51,37316.3% Questions What establishments are the most numerous based on company stages? What stages have experienced the largest growth? The greatest decline? What company stage employs the largest number of people? What stage captures the most sales? Which ones have experienced the greatest percentage loss over the 2000-13 period? Sales ($ 2013) by Company Stages Year20002013% Change Stage 0 $160,094,654 $129,728,731 -19% Stage 1 $1,538,525,539 $896,863,710 -41.7% Stage 2 $1,860,277,679 $1,618,057,361 -13.0% Stage 3 $883,353,578 $933,867,601 5.7% Stage 4 $573,792,680 $236,475,100 -58.8% Total $ 5,016,044,130 $3,814,992,503 -23.9%
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17 Industry and occupation section 02 NAICSDescription2009 Jobs2014 JobsChangeChange (%) State Change (%) 21Mining, Quarrying, and Oil and Gas Extraction18532614176%50% 61Educational Services35151416346%11% 53Real Estate and Rental and Leasing1,6191,89827917%6% 44Retail Trade6,0686,5454778%4% 52Finance and Insurance2,2992,4581597%5% 62Health Care and Social Assistance5,5065,7892835% 54Professional, Scientific, and Technical Services1,4971,535383%4% 81Other Services (except Public Administration)3,3183,388702%4% 42Wholesale Trade97998671%11% Top nine industry sector employment growth Source: EMSI Class of Worker 2015.4 (QCEW, non-QCEW, self-employed and extended proprietors) Questions: What regional industry sectors have seen the greatest growth? Did they grow at the same rate as the state? What factors are causing the growth?
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18 Industry and occupation section 02 Top ten industry sector employment decline Source: EMSI Class of Worker 2015.4 (QCEW, non-QCEW, self-employed and extended proprietors) Questions : How does the industry sector make-up of the region compare to the rest of the state? Which industry sectors are growing and declining the most in employment? NAICSDescription2009 Jobs2014 JobsChangeChange (%) State Change (%) 55Management of Companies and Enterprises427237-190-44%35% 31Manufacturing3,1842,577-607-19%8% 71Arts, Entertainment, and Recreation1,073928-145-14%9% 48Transportation and Warehousing1,2211,096-125-10%6% 23Construction4,0953,829-266-6%4% 56 Administrative and Support and Waste Management and Remediation Services 2,0341,942-92-5%9% 11Crop and Animal Production6,6326,343-289-4%-3% 22Utilities205197-8-4%4% 90Government16,90916,336-573-3%-2% 72Accommodation and Food Services3,5603,531-29-1%11%
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Exploring Industry Clusters
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Industrial Clusters Clusters are groups of inter-related industries that drive wealth creation in a region, primarily through export of goods and services. Vertical Clusters Represents the entire value chain of a broadly defined industry from suppliers to end products. Examples: Auto manufacturing (glass, paint, engine, plastic, etc. that goes into making a car) Healthcare (service providers, equipment, medical supplies, pharmaceuticals) Horizontal Clusters Groups of similar industries that use the same resources including raw materials and/or labor Examples: Silicon Valley Wall Street Financial District Napa Valley Wine Region
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Example of a Vertical Cluster
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Example of a Horizontal Cluster
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LIST OF CLUSTERS Advanced Materials Agribusiness, Food Processing & Technology Apparel & Textiles Arts, Entertainment, Recreation & Visitor Industries Biomedical/Biotechnical (Life Sciences) Business & Financial Services Chemicals Computer & Electronic Product Manufacturing Defense & Security Education & Knowledge Creation Electrical Equip, Appliance & Component Manufacturing Fabricated Metal Product Manufacturing Energy (Fossil & Renewable) Forest & Wood Products Glass & Ceramics Information Technology & Telecommunications Machinery Manufacturing Manufacturing Super-cluster Mining Primary Metal Manufacturing Printing & Publishing Transportation & Logistics Transportation Equipment Manufacturing
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24 How to interpret cluster data results Modified from: http://www.charlestonregionaldata.com/bubble-chart-explanation /http://www.charlestonregionaldata.com/bubble-chart-explanation / Emerging (weak but advancing) Stars (strong and advancing) Mature (strong but declining) Transforming (weak and declining) Contains clusters that are more concentrated in the region and are growing. These clusters are strengths that help a community stand out from the competition. Small, high-growth clusters can be expected to become more dominant over time. Contains clusters that are more concentrated in the region but are declining (negative growth). These were likely the anchor industries for the region in the past. Contains clusters that are under-represented in the region but are growing, often quickly. If growth trends continue, these clusters will eventually turn into stars. Contains clusters that are under-represented in the region (low concentration) and are also losing jobs. Clusters in this region may indicate a gap in the workforce pipeline if local industries anticipate a future need. In general, clusters in this quadrant show a lack of competitiveness.
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25 Industry cluster analysis section 03 NOTE: The first number after each cluster represents the number of total jobs (full and part time jobs by place of work) in that cluster in the region in 2014. The clusters are sorted in decreasing order by location quotient as shown in the bubble chart. Percent Growth in Specialization Level of Specialization Mature Clusters Agribusiness, Food Proc., & Tech. (6,913) Star Clusters Electrical Equip, App. & Comp. Mfg. (442) Mining (236) Glass & Ceramics (108) Forest & Wood Products (949) Emerging Clusters Fabricated Metal Product Mfg. (435) Biomedical/Biotech (3,776) Business & Financial Services (3,857) Printing & Publishing (383) Apparel And Textiles (156) Advanced Materials (507) Edu. & Knowledge Creation (399) Primary Metal Mfg. (30) Transforming Clusters Energy (Fossil And Renewable) (2,840) Arts, Ent., Rec, & Visitor Industries (1,487) Transportation & Logistics (1,082) Manufacturing Supercluster (1,148) Machinery Mfg. (194) Defense & Security (984) Chemicals (273) IT & Telecommunication (821) Transportation Equipment Mfg. (39) Computer & Electronic Product Mfg. (7)
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Industry Cluster Bubble Chart Note to coaches: If you are planning to show the bubble chart(s) to the entire regional team, insert the additional slides from the Data SnapShot: Session 1 here. This includes data slides with these titles: Bubble Chart: What to Look at First Industry Cluster Bubble Chart The Manufacturing Super-Cluster (if relevant) Manufacturing Sub-cluster Bubble Chart (if relevant). If you are only showing these to a smaller data team, just delete this slide.
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Exploring Occupations
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28 Industry and occupation section 04 Top five occupations in 2014 Questions: What are the education and skill requirements for these occupations? Do the emerging and star clusters align with the top occupations? What type salaries do these occupations typically provide? Source: EMSI Class of Worker 2015.4 (QCEW, non-QCEW, self-employed and extended proprietors)
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29 Industry and occupation section 04 Science, Technology, Engineering & Math Questions: How do STEM jobs compare to the state? What has been the trend of STEM jobs over time? How important are STEM jobs to the region’s Star and Emerging clusters? *Note: STEM and STEM-related occupation definitions from BLS (2010) Source: EMSI Class of Worker 2015.4 (QCEW, non-QCEW, self-employed and extended proprietors) 9.9% 869 770 -11.4% Change20142009 Job change in STEM occupations* CBR, OK Rest of Oklahoma 67,592 61,527
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Workforce Data What are the region’s unemployment trends? Are more people commuting into the region or commuting out? How do regional earnings compare to the state or nation?
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Honing in on Key Clusters Key Clusters Regional Competitiveness Export Value Leakage Contribution by Counties Number of Establishments Industry Input Resident’s Values Based on the assets of the region and current industrial trends… What clusters should this region explore further?
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Reality Check and Next Steps Did the data reveal: Any new opportunities that should be considered? The need to eliminate previously considered opportunities? New partners that need to be included in the planning process.
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Actions: Begin Writing the Plan Describe and summarize the Civic Engagement Forum process and results. Summarize key strengths and challenges based on the data Describe the selected clusters: Why were these clusters selected for further exploration? What are the strengths and challenges associated with the selected clusters? Which suggested opportunities are associated with each selected cluster?
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