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Regional Data Snapshot Industry Cluster Analysis SET Session 1 Kaysinger Basin Region, Missouri

Table of Contents 01 Overview 03 Industry Cluster Analysis 02 Industry and Occupation 04 Occupations

01 overview Kaysinger Basin Region, MO

Overview Kaysinger Basin, MO The Kaysinger Basin Region is comprised of seven Missouri counties. State Route 71 passes through Bates and Vernon counties connecting to Kansas City to the north. State Route 65 passes through Benton and Hickory counties connecting to Interstate 70 to the north and Interstate 44 in the south. Bates Benton Cedar Henry Hickory St. Clair Vernon section 01 4

02 industry and occupation Establishments Employment by industry

Industry and occupation Components of changes in Jobs Changes in Jobs (2009-2015) New Startups 13,764 Spinoffs 2,263 Gained by Expansion 6,072 An establishment is a physical business location. Branches, standalones and headquarters are all considered types of establishments. Definition of Company Stages In-migration 288 Closings 15,020 Lost by Contractions 5,223 Out-migration 300 Net change 1,844 0 1 2 3 4 Selfemployed 10-99 employees 500+ employees 2-9 employees 100-499 employees section 02 Source: YourEconomy.org 6

Industry and occupation Establishments Number of Establishments by Company Stages 2009 2015 Stage Establishments Proportion Establishments Proportion Stage 0 1,110 20% 955 17% Stage 1 3,594 66% 3,832 69% Stage 2 739 13% 749 13% Stage 3 34 1% 44 1% Stage 4 2 0.0% 2 0.0% Total 5,479 100% 5,582 100% Questions: What stage businesses have shaped the region s economic growth in the last 6 years? Which ones are growing or declining the most? Which stage of establishments are likely to shape the region s future economic growth? section 02 Source: Youreconomy.orgdatabase 7

Industry and occupation Establishments Number of Jobs by Company Stages Year 2009 2015 % Change Stage 0 1,110 956-14% Stage 1 12,975 13,986 8% Stage 2 17,974 17,401-3% Stage 3 5,800 7,360 27% Stage 4 1,140 1,140 0.0% Total 38,999 40,843 5% Sales ($Billion, 2015) by Company Stages Year 2009 2015 % Change Stage 0 0.22 0.7 203% Stage 1 3.17 3.7 18% Stage 2 3.23 3.8 17% Stage 3 1.46 2.4 61% Stage 4 0.22 0.25 13.3% Total 8.31 10.80 30% 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 2009-2015 period? section 02 Source: Youreconomy.orgdatabase 8

Industry and occupation Top ten industry sector employment growth NAICS Description 2009 Jobs 2014 Jobs Change Change (%) State Change (%) 62 Health Care and Social Assistance 4,102 4,888 786 19% 14% 31 Manufacturing 2,881 3,320 439 15% 1% 52 Finance and Insurance 1,989 2,287 298 15% 4% 22 Utilities 283 314 31 11% -6% 61 Educational Services 560 594 34 6% 9% 44 Retail Trade 5,837 6,102 265 5% 1% 51 Information 324 336 12 4% -14% 11 Crop and Animal Production 6,820 6,983 163 2% -1% 72 Accommodation and Food Services 2,694 2,750 56 2% 6% 71 Arts, Entertainment, and Recreation 644 656 12 2% 5% 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? section 02 Source: EMSI Class of Worker 2015.4 (QCEW, non -QCEW, self-employed and extended proprietors) 9

Industry and occupation Top nine industry sector employment decline NAICS Description 2009 Jobs 2014 Jobs Change Change (%) State Change (%) 55 Management of Companies and Enterprises 83 29-54 -65% 11% 21 Mining, Quarrying, and Oil and Gas Extraction 193 110-83 -43% 26% 81 Other Services (except Public Administration) 3,315 2,823-492 -15% -2% 42 Wholesale Trade 1,109 974-135 -12% 3% 90 Government 8,204 7,751-453 -6% -5% 56 Administrative and Support and Waste Management and Remediation Services 1,500 1,418-82 -5% 11% 48 Transportation and Warehousing 1,628 1,547-81 -5% 4% 54 Professional, Scientific, and Technical Services 1,277 1,227-50 -4% 7% 23 Construction 3,376 3,323-53 -2% -6% 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? section 02 Source: EMSI Class of Worker 2015.4 (QCEW, non -QCEW, self-employed and extended proprietors) 10

03 Industry cluster analysis Kaysinger Basin Region, MO

Industry cluster analysis 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 section 03

Industry cluster analysis How to interpret cluster data results The graph s four quadrants tell a different story for each cluster. Contains clusters that are more concentrated in the region but are declining (negative growth). These clusters typically fall into the lower quadrant as job losses cause a decline in concentration. 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. Mature Top left (strong but declining) Transforming Bottom left (weak and declining) Stars Top right (strong and advancing) Emerging Bottom right (weak but advancing) Contains clusters that are more concentrated in the region and are growing. These clusters are strengths that help a region stand out from the competition. Small, high-growth clusters can be expected to become more dominant over time. Contains clusters that are under-represented in the region but are growing, often quickly. If growth trends continue, these clusters will eventually move into the top right quadrant. Clusters in this quadrant are considered emerging strengths for the region. section 03 Modified from: http://www.charlestonregionaldata.com/bubble-chart-explanation/ 13

Industry cluster analysis Mature Clusters Mining (1.28; 188) Transforming Clusters Transportation & Logistics (0.96; 1,444) Electrical Equip., App. & Comp. Mfg. (0.89; 95) Printing & Publishing (0.61; 499) IT & Telecom. (0.21; 403) * note: There is no 2014 regional jobs in Primary Metal Mfg. Level of Specialization Star Clusters Agribusiness, Food Proc. & Tech. (5.58; 8,014) Glass & Ceramics (2.8; 220) Forest & Wood Products (1.41; 983) Chemicals & Chemical Based Products (1.21; 698) Percent Growth in Specialization Emerging Clusters Machinery Manufacturing (0.88; 274) Energy (Fossil & Renewable) (0.85; 2,235) Advanced Materials (0.84; 1,195) Biomedical/Biotechnical (0.74; 2,771) Fabricated Metal Product Mfg. (0.72; 282) Arts, Enter., Rec. & Visitor Industries (0.61; 1,193) Transportation Equipment Mfg. (0.6; 249) Defense & Security (0.59; 1,206) Education & Knowledge Creation (0.59; 645) Apparel & Textiles (0.55; 196) Business & Financial Services (0.5; 3,064) Computer & Electronic Product Mfg. (0.07; 20) 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. 14

Bubble Chart: What to Look at First Quadrant Location Size of Location Quotient Percentage Change in Last 5 Years Number of Employees Start with clusters located in the STARS quadrant See if the MATURING clusters might have a good chance of growing again Determine if EMERGING clusters are likely to grow in strength Avoid clusters that are TRANSFORMING Focus on clusters with an LQ of 1.2 or higher Clusters with high LQs represent economic activities in which the region is competitive relative to the U.S. REMEMBER: Clusters only capture industries that have the likelihood of exporting goods and services. The horizontal line (the x- axis) shows the percentage growth or decline of a cluster over a five-year period. Make sure to examine the SIZE and DIRECTION of that change. Dramatic declines in a cluster with a an LQ of 1.2 or higher could be a difficult one to resurrect. The size of the bubble refers to the number of people employed in that cluster. It may be worthwhile to focus on clusters that are both competitive and that employ a good number of people.

Industry and occupation Industry cluster bubble chart Mature 7.0 Star 6.0 3.5 Agri. & Food Process., 5.58, 8,014 2.5 Glass & Ceramics, 2.80, 220 LQ, 2014 Biomedical/Biotech, 0.74, 2,771 Energy, 0.85, 2,235 Transportation & Logistics, 0.96, 1,444 1.5 Forest & Wood Prod., 1.41, 983 Mining, 1.28, 188 Printing & Publishing, 0.61, 499 Defense & Security, 0.59, 1,206 Chemicals, 1.21, 698-40% -20% 0% 20% 100% 40% 180% 60% Mfg Supercluster, 0.57, 920 0.5 Advanced Materials, 0.84, 1,195 IT & Telecomm., 0.21, 403 Business&FinancialService, 0.50, 3,064 Transforming -0.5 Edu. & Knowledge, 0.59, 645 Apparel & Textiles, 0.55, 196 Arts & Ent., 0.61, 1,193 Percent change in LQ, 2009-2014 Emerging Note: Label includes cluster name, LQ in 2014, and Employment in 2014; There is no 2014 regional jobs in Primary Metal Mfg.. section 02 Source: EMSI Class of Worker 2015.4 (QCEW, non -QCEW, self-employed and extended proprietors). 16

The Manufacturing Super-Cluster Please note that this is not a cluster that a SET region should select. Rather, focus on the manufacturing sub-clusters that are important to that super-cluster. Computer & Electronic Product Manufacturing Electric Equipment, Appliances & Component Manufacturing Manufacturing Super-Cluster Fabricated Metal Product Manufacturing Machinery Manufacturing Primary Metal Manufacturing Transportation Equipment Manufacturing

Industry and occupation Manufacturing sub-cluster bubble chart Mature 2 Star 2 LQ, 2014 Fab. Metal Prod. Mfg, 0.72, 282 Elec.Equip,App. & Comp. Mfg, 0.89, 95 Machinery Mfg, 0.88, 274 1-50% 0% 50% 100% 150% 200% 1 Mfg Supercluster, 0.57, 920 Transforming Transportation Equip. Mfg, 0.60, 249 0 Percent change in LQ, 2009-2014 Comp. & Electrn. Prod. Mfg, 0.07, 20 Emerging Note: Label includes cluster name, LQ in 2014, and Employment in 2014. section 02 Source: EMSI Class of Worker 2015.4 (QCEW, non -QCEW, self-employed and extended proprietors). 18

Industry and occupation For your region Mature Industries One industry clusters in the Kaysinger Basin Region is in the Matured stage: Mining. The mature industries are relatively concentrated, but their growth is trending downward. It is worth noting, however, that the Region may find it worthwhile to invest in efforts to shore up the concentration of these industries. Transforming Industries Transforming clusters capture the mix of industries that are experiencing relative decline and limited export capability. In the Region, Transportation & Logistics; Electrical Equipment Appliance & Component Mfg.; Printing & Publishing; IT & Telecommunications are all Transforming clusters. Any amount of growth in these industries would require relatively large investments. Star Industries Star industry clusters are highly concentrated, exporting and still experiencing growth in the region. Four Star industry clusters in the Kaysinger Basin Region are Agribusiness, Food Processing & Technology; Glass & Ceramics; Forest & Wood Products; and Chemicals. These clusters have higher job concentration in the region when compared to an average value for the entire U.S. Emerging Industries Industry clusters that may be poised for future growth are classified as Emerging. There are twelve Emerging clusters in total in the Kaysinger Basin Region: Machinery Mfg.; Energy; Advanced Materials; Biomedical/Biotechnical; Fabricated Metal Prod. Mfg.; Arts, Ent., Rec. & Visitor Industries; Transportation Equipment Mfg.; Defense & Security; Education & Knowledge Creation; Apparel & Textiles; Business & Financial Services; and Computer & Electronic Product Mfg.. section 03 Source: EMSI Class of Worker 2015.4 (QCEW, non -QCEW, self-employed and extended proprietors). 19

04 occupations Top occupations STEM occupations

Industry and occupation Top five occupations in 2014 Personal Care and Service Occupations 5.6% Food Preparation and Serving Related Occupations 5.7% Office and Administrative Support Occupations 10.3% Sales and Related Occupations 13.1% All Other Occupations 49.0% Management Occupations 16.3% 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? section 04 Source: EMSI Class of Worker 2015.4 (QCEW, non -QCEW, self-employed and extended proprietors) 21

Industry and occupation Science, Technology, Engineering & Math Job change in STEM occupations Kaysinger Basin, MO Rest of Missouri 493 2009 104,514 506 2014 108,764 2.6% Change 4.1% 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 ESA and BLS (2010) section 04 Source: EMSI Class of Worker 2015.4 (QCEW, non -QCEW, self-employed and extended proprietors) 22

Report Contributors This report was prepared by the Purdue Center for Regional Development, in partnership with the Southern Rural Development Center and USDA Rural Development, in support of the Stronger Economies Together program. Report Authors Bo Beaulieu, PhD Indraneel Kumar, PhD Andrey Zhalnin, PhD Data Analysis Ayoung Kim Indraneel Kumar, PhD Andrey Zhalnin, PhD Report Design Tyler Wright This report was supported, in part, by grant from the USDA Rural Development through the auspices of the Southern Rural Development Center. It was produced in support of the Stronger Economies Together (SET) program. 23

For more information, please contact: The Purdue Center for Regional Development (PCRD) seeks to pioneer new ideas and strategies that contribute to regional collaboration, innovation and prosperity. Dr. Bo Beaulieu, PCRD Director: ljb@purdue.edu Or 765-494-7273 October 2016