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Washington State Employment Security Department(median and hourly wages) SOURCES and the U.S. Census Bureau's Local Employment Dynamics program. These data allowed comparison of Kittitas County to Yakima County, King County, and the state overall. The analysis focused on median wage levels, educational attainment, and industry employment structure. REFERENCES AND METHODOLOGY SECTION C: TARGETED INDUSTRIES • 2020 Decennial Census: United States Census Bureau Industries were selected based on three criteria: • US Census"Profiles" 2023 Washington: https://data.census.gov/profile/ 1. Wage and Skill Intensity—industries with compensation significantly Washington?g=040XX000S53 • US Census"Profiles" 2023 King County: https://data.census.gov/profile/ above Kittitas County's median wage; King—County, Wash ington?g=050XX000S53033 2. Alignment with State and National Clusters—sectors such as US Census"Profiles" 2023 Kittitas County: https://data.census.gov/profile/ aerospace, ag-tech, and advanced materials where Washington already • Kittitas_County,_Washington?g=050XX000S53037 has comparative advantages; and 3 US Census"Profiles" 2023Yakima County: https://data.census.gov/profile/ . Compatibility with CWU and Local Capabilities—fit with university • Yakima_County,_Washington?g=050XX000S53077 STEM programs, applied research, and nearby supply chain assets. • CWU BCS Regional Contribution Continuum (2025): https://www.cwu.edu/about/offices/business-community-services/bcs-regional-contribution- Industry data were drawn from the U.S. Census Annual Survey of Manufactures and BEAlnput-output tables. NAICS codes used included 336412 (Aircraft continuum-white-paper-1.O.pdf Engine and Engine Parts), 336413 (Other Aircraft Parts and Auxiliary Equipment), U.S. Bureau of Economic Analysis: Retrieved 7/23/2025: and 333111 (Agricultural Machinery). Import penetration ratios and supply chain https://apps.bea.gov/ gaps were identified by comparing U.S. shipment values with import values, highlighting opportunities for reshoring and regional capture. This feasibility study integrates multiple levels of economic analysis to determine SECTION H: DIVERSIFICATION AND ECONOMIC IMPACT the appropriateness of Old Heat as a commercialization hub for Central Economic concentration and diversification were measured using two standard Washington. The methods below explain how data were gathered, which indexes: the Normalized Shannon—Weaver Index (to capture breadth of industries were selected, and how results were calculated for each section of the industries) and the Herfindahl—Hirschman Index(HHI, to capture employment study. concentration). County-level employment data were sourced from Washington INTRODUCTION "OLD HEAT COMMERCIALIZATION CENTER" State ESD and the U.S. Census. To model industry-level economic impacts, Industries were grouped using the CWU BCS's (2025) Regional Contribution IMPLAN input-output modeling software was applied to simulate the direct, Continuum (RCC)framework, which classifies firms as Extractive, Retentive, indirect, and induced effects of introducing new aerospace and agricultural Additive, or Accelerative depending on their net contribution to long-term regional machinery activities into Kittitas County. This produced estimates of employment prosperity. This provided the foundation for identifying structural gaps in Kittitas multipliers, output per worker, and secondary spending effects. County's economy. SECTION N: WAGE ESTIMATION Section A:A product market analysis linked to economic development Wage levels for targeted industries were calculated using a combination To assess regional economic position, we compiled and compared data from the of IMPLAN industry tables and Bureau of Labor Statistics Occupational 66 1 Old Heat CERB Feasibility Study