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<br />2020 Solid Waste and Moderate <br />Risk Waste Management Plan Update <br /> <br />3-2 AX0304191054PDX <br /> <br />Figure 3-1. MSW Disposal Quantities, 2013-2018 <br />3.1.2 MSW Composition Comparison of Kittitas County to State Study <br />Kittitas County last conducted a Waste Characterization Study in 2008. To provide another data point on <br />the current waste composition, the 2008 data were compared to the findings of the recent Ecology 2015- <br />2016 Washington Statewide Waste Characterization Study (Statewide WCS). The 2015-2016 Statewide <br />WCS organizes Kittitas County into the Central Waste Generation Area (WGA) with six other counties. <br />Sampling was conducted in Chelan and Grant counties. Chelan and Grant have population densities of <br />26 and 34 people per square mile respectively. Kittitas has a population density of 19 people per square <br />mile. Their economies have slight variation. While retail is the second largest employer for all three <br />counties, Grant County’s largest employer is manufacturing; Chelan County’s largest employer is health <br />care, and Kittitas County’s largest employer is accommodation/food service.6 <br />Figures 3-2 and 3-3 show the composition of the disposed waste stream and the percentage of total tons <br />of material disposed in one year. As shown in Figures 3-2 and 3-3, the largest component of the disposed <br />waste stream in the 2015-2016 Statewide WCS, Central WGA and 2008 Kittitas WCS is organics. The <br />Statewide data differ from Kittitas in quantity of paper, plastics, and C&D. Based on the 2008 data, Kittitas <br />County appears to divert more of its overall plastics (represented by a smaller number in the disposed <br />waste stream) into recycling while the paper capture/ recycle rates appears lower than in the Statewide <br />WCS. Kittitas was no longer in a construction boom in 2008, but the amount of C&D waste disposed in <br />2008 was still much higher than the amount of C&D disposed Statewide. <br /> <br /> <br />6 U.S. Economic Census Survey 2012 <br /> ‐ <br /> 5,000 <br /> 10,000 <br /> 15,000 <br /> 20,000 <br /> 25,000 <br /> 30,000 <br /> 35,000 <br /> 40,000 <br />2013 2014 2015 2016 2017 2018