SUMMIP COUNTY UTAH AGENDA  Summit County Economic Development Advisory Board  Thursday, March 21, 2023 @2:00PM  NOTICE is hereby given that the Economic Development Advisory Board will meet in session Thursday, March 21, 2023, electronically, via Zoom, and at the anchor location at the Ledges Event Center, Conference Room, 202 To participate in the Economic Development Advisory meeting via Zoom: https:lsummitcountyutzoom.US/1997916778957PWGEREZOSK8ZN  Park Rd., Coalville, UT 84017.  Join Zoom Meeting 3hbHKWNUEXV2twEpr/209 Meeting ID: 99791677895 Passcode: 209467 One tap mobile  +12532158782,99791677895# US (Tacoma) 13462487799,9,997916/78958 US (Houston) hold its 22th meeting, and discuss the following:  2:00 PM  The Summit County Economic Development Advisory Board will  1. Consent Agenda - Any item will be removed from the consent agenda at the request of any member of the Board and that item will be considered  separately later.  a. Minutes from December 21, 2023.  ACTION: Approve the consent agenda or take any other action deemed 2. General Announcements = Chair/Vice Chair (Others) a. Wasatch Back Economic Summit 3. Welcome New Board Member, Ms. Jenny Diersen  appropriate.  Summit County 601 NI Main Street, Coalville UT84017 (435)3363200    Summit County Economic Development Advisory Board  Meeting Date: March 21, 2023 Page: 2of4  4. Site Visit Report: Reesco = Elyse Kats  5. MOUNTAINLAND COMPREHENSIVE ECONOMIC DEVELOPMENT  STRATEGY  a. CEDS Summary b. Full CEDS Plan  6. CostofLiving & Relationship to Economic Development a. Research Minute: Utah's Cost of Living (edcUtah) b. Council for Community and Economic Research (C2ER) C. Wage Profiles for Summit, Salt Lake County, Utah County, Morgan, Wasatch and Weber Counties adjusted by Costof  Living spreadsheets).  7. Rural County Grant  8. Schedule: Next Meeting, April 18, 2024  9. 3:00 PM Adjourn  Individuals with questions, comments, or needing special accommodations pursuant to the Americans with Disabilities Act regarding this meeting may  contact Amy Jones at 435-336-3042.  Summit County 601 N Main Street, Coalville UT84017 (435)3363200    Summit County Economic Development Advisory Board  Meeting Date: March 21, 2023 Page 3 of4  SUMMIT COUNTY UTAH  MINUTES  Summit County Economic Development Advisory Board  Thursday, December 21, 2023  The meeting was conducted at the anchor location, Summit County Courthouse, 2nd floor Executive Conference Room, 60 N Main St, Coalville, UT 84017. The meeting was also made available through ZOOM. PRESENT: Amanda Pouchot (Vice Chair), Dan McPhun. Elyse Kats, Jeff ABSENT: Byron Ames, Melissa Band (Chair), Mayor McCormick  Jones, TJ Bates, Marci Sargent.  The Board was called to order at 2:05 p.m.  New Announcements:  Vice Chair Pouchot reported on the Board's October 19th, 2023, industry site visit of Escapod Trailers located at 6050 W, Coalville, UT 84017. More specifically, Ms. Pouchot reported on the benefits and challenges of operating a manufacturing facility in Summit County as expressed by Founder, Chris Hudak. Member Pouchot encouraged staff to continue to organize site visits to  other industries within Summit County.  Old Business None Minutes  Dan McPhun moved to approve the minutes from September 21, 2023. The  motion was seconded by TJ Bates.  1. Vacant Building Inventory - Elyse Kats  Economic Development and Housing Manager Elyse Kats presented to the Board her work towards building commercial vacant land and building inventory in Summit County. Ms. Kats is using ESRI Business Analyst to compile attribute data for each site location. Additional data fields are to be  Summit County 601 NI Main! Street, Coalville UT84017 (435)3363200    Summit County Economic Development Advisory Board  Meeting Date: March 21, 2023 Page4of4  added to the compilation such as price and/or lease rate, infrastructure Ms. Kats informed the Board that she started the project by reviewing the various zoning maps at both the County and City level. Next, she physically walked each community larea and outreached to real estate professionals and Staff will include the vacant building/land inventory in the County's Economic  availability, etc.  other online sources such as LoopNet, etc.  Development Strategy. 2. Next Industry Tour  Staff recommend that they try and setup a site visit for the Board to BJ Rees's Enterprise located at1045 S Hoytsville Rd, Coalville, UT 84017.  3. Rural County Grant  Staff made an application to the Governor's Office of Economic Opportunity for Rural County Grant Funds and successfully received a grant for $200,000. These funds will be used to support infrastructure (primarily broadband), Workforce Development and Small Business with a focus on the building trades and childcare industries. With regards to Broadband, Rural County Grant funds will be used to target and leverage additional dollars for areas with zero or underpertorming services. Staff will also be moving all grant applications to the County's new grant management software AplifFund.  Adjournment  The meeting was adjourned at 2:56 p.m.  Summit County 60 NI Main Street, Coalville UT84017 (435): 3363200    Occupation Table All Occupations in Weber County, UT Lightcast Q1 2024 Data Set  March 2024  Summit County Economic Development Department  60 North Main, P.O. Box 128 Coalville, Utah 84017    Parameters  Regions Code 49057  Description Weber County, UT  Timeframe 2024-2033 Datarun  2024.1 - QCEW Employees, Non-QCEW Employees, and Self-Employed        Appendix A - Data Sources and  Calculations  Automation Index Data  Lightcast's US Automation Index analyzes the potential automation risk of occupations based on job task content--derived from ONET work activities. Combining that data with the Frey and Osborne findings at the occupation level, we identify which job tasks are 'at risk' and which are resilient. We also incorporate data to identify where occupations cluster in industries facing disruption, and where workers' skills mean their nearest job options are also facing automation risk. This is a 100-based index, meaning that occupations with an automation index above 100 have an above average risk of automation, while occupations with an automation index of below 100 have a below average risk of automation. Note: automation index is unavailable for Legislators, Military, and Unclassified occupations, so they are excluded from aggregate indexes for higher-level occupations.  Cost of Living Data  Emsi's cost ofl living data is based on the Cost of Living Index published by the Council for  Community and Economic Research (C2ER).  Location Quotient  Location quotient (LQ)i is a way of quantifying how concentrated a particular industry, cluster, occupation, or demographic group is ina a region as compared to the nation. It can reveal what  makes a particular region unique in comparison to the national average.  Occupation Data  Emsi occupation employment data are based on final Emsi industry data and final Emsi staffing patterns. Wage estimates are based on Occupational Employment Statistics (QCEW and Non- QCEW Employees classes of worker) and the American Community Survey (Self-Employed: and Extended Proprietors). Occupational wage estimates are also affected by county-level Emsi  earnings by industry.  State Data Sources  This report uses state data from the following agencies: Utah Department of Workforce Services    Occupation Table All Occupations in Weber County, UT Lightcast Q1 2024 Data Set  March 2024  Summit County Economic Development Department  60 North Main, P.O. Box 128 Coalville, Utah 84017    Parameters  Regions Code 49057  Description Weber County, UT  Timeframe 2024-2033 Datarun  2024.1- QCEW Employees, Non-QCEW Employees, and Self-Employed            Appendix A - Data Sources and  Calculations  Automation Index Data  Lightcast's US Automation Index analyzes the potential automation risk of occupations based onj job task content--derived from ONET work activities. Combining that data with the Frey and Osborne findings at the occupation level, wei identify which job tasks are 'at risk' and which are resilient. We also incorporate data to identify where occupations cluster in industries facing disruption, and where workers' skills mean their nearest job options are also facing automation risk. This is a 100-based index, meaning that occupations with an automation index above 100 have an above average risk of automation, while occupations with an automation index of below 100 have a below average risk of automation. Note: automation index is unavailable for Legislators, Military, and Unclassified occupations, so they are excluded from aggregate indexes for higher-level occupations.  Cost of Living Data  Emsi's cost ofl living data is based on the Cost of Living Index published by the Council for  Community and Economic Research (C2ER).  Location Quotient  Location quotient (LQ) is a way of quantifying how concentrated a particular industry, cluster, occupation, or demographic group is in a region as compared to the nation. It can reveal what  makes a particular region unique in comparison to the national average.  Occupation Data  Emsi occupation employment data are based on final Emsi industry data and final Emsi staffing patterns. Wage estimates are based on Occupational Employment Statistics (QCEW and Non- QCEW Employees classes of worker) and the American Community Survey (Self-Employed and Extended Proprietors). Occupational wage estimates are also affected by county-level Emsi  earnings by industry.  State Data Sources  This report uses state data from the following agencies: Utah Department of Workforce Services    Occupation Table All Occupations in Utah County, UT Lightcast Q1 2024 Data Set  March 2024  Summit County Economic Development Department  60 North Main, P.O. Box 128 Coalville, Utah 84017    Parameters  Regions Code 49049  Description Utah County, UT  Timeframe 2024-2033 Datarun  2024.1 - QCEW Employees, Non-QCEW Employees, and Self-Employed    MSASTREEATBT BHSH#EEHNE  588 ug:    Bes8s BEXIEYESENEIR.  BRANE StssaRtaA S.83--SAEAIEEN-es1 .85985  E8388865  a8:83E8        Appendix A - Data Sources and  Calculations  Automation Index Data  Lightcast's US Automation Index analyzes the potential automation risk of occupations based on job task content--derived from ONET work activities. Combining that data with the Frey and Osborne findings at the occupation level, we identify which job tasks are' 'at risk' and which are resilient. We also incorporate data toi identify where occupations cluster in industries facing disruption, and where workers' skills mean their nearest job options are also facing automation risk. This is a 100-based index, meaning that occupations with an automation index above 100 have an above average risk of automation, while occupations with an automation index of below 100 have al below average risk of automation. Note: automation index is unavailable for Legislators, Military, and Unclassified occupations, so they are excluded from aggregate indexes for higher-level occupations.  Cost of Living Data  Emsi's cost of living data is based on the Cost of Living Index published by the Council for  Community and Economic Research (C2ER). Location Quotient  Location quotient (LQ) is a way of quantifying how concentrated a particular industry, cluster, occupation, or demographic group is in a region as compared to the nation. It can reveal what  makes a particular region unique in comparison to the national average.  Occupation Data  Emsi occupation employment data are based on final Emsi industry data and final Emsi staffing patterns. Wage estimates are based on Occupational Employment Statistics (QCEW and Non- QCEW Employees classes of worker) and the American Community Survey (Self-Employed and Extended Proprietors). Occupational wage estimates are also affected by county-level Emsi  earnings by industry.  State Data Sources  This report uses state data from the following agencies: Utah Department of Workforce Services    Occupation Table All Occupations in Salt Lake County, UT  Lightcast Q1 2024 Data Set  March 2024  Summit County Economic Development Department  60 North Main, P.O. Box 128 Coalville, Utah 84017    Parameters  Regions Code 49035  Description Salt Lake County, UT  Timeframe 2024-2033 Datarun  2024.1 - QCEW Employees, Non-QCEW Employees, and Self-Employed    99524443922 7953939.1597 GMERIARG.TT:  -IHIEREBREHAREBAARAE-EENS: eRai.  BBHSBBBBAEBENIHBNE  KEBEBEBISEEEE        Appendix A - Data Sources and  Calculations  Automation Index Data  Lightcast's US Automation Index analyzes the potential automation risk of occupations based on job task content--derived from ONET work activities. Combining that data with the Frey and Osborne findings at the occupation level, we identify which jobt tasks are 'at risk' and which are resilient. We also incorporate data toi identify where occupations cluster in industries facing disruption, and where workers' skills mean their nearest job options are also facing automation risk. This is a 100-based index, meaning that occupations with an automation index above 100 have an above average risk of automation, while occupations with an automation index of below 100 have al below average risk of automation. Note: automation index is unavailable for Legislators, Military, and Unclassified occupations, so they are excluded from aggregate indexes for higher-level occupations.  Cost of Living Data  Emsi's cost of living data is based on the Cost of Living Index published by the Council for  Community and Economic Research (C2ER).  Location Quotient  Location quotient (LQ) is a way of quantifying how concentrated a particular industry, cluster, occupation, or demographic group isi in a region as compared to the nation. Ito can reveal what  makes a particular region unique in comparison to the national average.  Occupation Data  Emsi occupation employment data are based on final Emsi industry data and final Emsi staffing patterns. Wage estimates are based on Occupational Employment Statistics (QCEW and Non- QCEW Employees classes of worker) and the American Community Survey (Self-Employed and Extended Proprietors). Occupational wage estimates are also affected by county-level Emsi  earnings by industry.  State Data Sources  This report uses state data from the following agencies: Utah Department of Workforce Services    Occupation Table All Occupations in Wasatch County, UT Lightcast Q1 2024 Data Set  March 2024  Summit County Economic Development Department  60 North Main, P.O. Box 128 Coalville, Utah 84017    Parameters  Regions Code 49051  Description Wasatch County, UT  Timeframe 2024-2033 Datarun  2024.1- QCEW Employees, Non-QCEW Employees, and Self-Employed    sui  EPHI    B388E38333388H3#B#BSEBEE    Appendix A - Data Sources and  Calculations  Automation Index Data  Lightcast's US Automation Index analyzes the potential automation risk of occupations based on job task content-derived from ONET work activities. Combining that data with the Frey and Osborne findings at the occupation level, we identify which) jobt tasks are' 'at risk' and which are resilient. We also incorporate data to identify where occupations cluster in industries facing disruption, and where workers' skills mean their nearest job options are also facing automation risk. This is a 100-based index, meaning that occupations with an automation index above 100 have an above average risk of automation, while occupations with an automation index of below 100 have al below average risk of automation. Note: automation indexi is unavailable for Legislators, Military, and Unclassified occupations, so they are excluded from aggregate indexes for higher-level occupations.  Cost of Living Data  Emsi's cost of living data is based on the Cost of Living Index published by the Council for  Community and Economic Research (C2ER).  Location Quotient  Location quotient (LQ) is a way of quantifying how concentrated a particular industry, cluster, occupation, or demographic group is in a region as compared to the nation. Itc can reveal what  makes a particular region unique in comparison to the national average.  Occupation Data  Emsi occupation employment data are based on final Emsi industry data and final Emsi staffing patterns. Wage estimates are based on Occupational Employment Statistics (QCEW and Non- QCEW Employees classes of worker) and the American Community Survey (Self-Employed and Extended Proprietors). Occupational wage estimates are also affected by county-level Emsi  earnings by industry.  State Data Sources  This report uses state datai from the following agencies: Utah Department of Workforce Services    Occupation Table All Occupations in Summit County, UT Lightcast Q1 2024 Data Set  March 2024  Summit County Economic Development Department  60 North Main, P.O. Box 128 Coalville, Utah 84017    -44838-*F#S#AwIRN0A14A1X8.43HASIaS-NsesRE:  B:A:EAITEREPRNEABNEGE  ATEAFEAIASHAAAelextSTNE  EE E PPB3B333: EE as:  9838977  9937.9533193133577  - 1 E  - EE EE   TAERRRRS  lN3EEAEREN  BEBRRIEERBEEVA  3 SEEEGaES  alessat.aEKASATHEAT38E        Appendix A - Data Sources and  Calculations  Automation Index Data  Lightcast's US Automation Index analyzes the potential automation risk of occupations based on job task content- -derived from ONET work activities. Combining that data with the Frey and Osborne findings at the occupation level, we identify which job tasks are 'at risk' and which are resilient. We also incorporate data to identify where occupations cluster in industries facing disruption, and where workers' skills mean their nearest job options are also facing automation risk. This is a 100-based index, meaning that occupations with an automation index above 100 have an above average risk of automation, while occupations with an automation index of below 100 have al below average risk of automation. Note: automation indexi is unavailable for Legislators, Military, and Unclassified occupations, so they are excluded from aggregate indexes for higher-level occupations.  Cost of Living Data  Ems's cost ofl living data is based on the Cost of Living Index published by the Council for  Community and Economic Research (C2ER). Location Quotient  Location quotient (LQ) is a way of quantifying how concentrated a particular industry, cluster, occupation, or demographic group isi in a region as compared to the nation. It can reveal what  makes a particular region unique in comparison to the national average.  Occupation Data  Emsi occupation employment data are based on final Emsi industry data and final Emsi staffing patterns. Wage estimates are based on Occupational Employment Statistics (QCEW and Non- QCEW Employees classes of worker) and the American Community Survey (Self-Employed and Extended Proprietors). Occupational wage estimates are also affected by county-level Emsi  earnings by industry.  State Data Sources  This report uses state data from thei following agencies: Utah Department of Workforce Services