20250626 10012600 1.0 FGDC 002 https://www.arcgis.com/sharing/rest/content/items/5bb0b4d2d4f643f482598b33b975f932/info/thumbnail/thumbnail1773764213917.png OzoneConcentrationV3 Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS["NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1640416.666666667],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-120.5],PARAMETER["Standard_Parallel_1",45.83333333333334],PARAMETER["Standard_Parallel_2",47.33333333333334],PARAMETER["Latitude_Of_Origin",45.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2927]]</WKT><XOrigin>-117498300</XOrigin><YOrigin>-98850300</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2927</WKID><LatestWKID>2927</LatestWKID></ProjectedCoordinateSystem> 20250626 10012600 FALSE 20250626 10012600 This data is included as part of the Environmental Health Disparities Version 3.0 map. To see this map, visit <a target='_blank' href='https://doh.wa.gov/data-and-statistical-reports/washington-tracking-network-wtn/washington-environmental-health-disparities-map' rel='nofollow ugc noopener noreferrer'>our webpage</a>. For more technical information on this map and the model used, visit our <a target='_blank' href='https://doh.wa.gov/sites/default/files/2026-04/EHDMapReport.pdf' rel='nofollow ugc noopener noreferrer'>Environmental Health Disparities Map Report Version 3.0</a>.Background Ozone is a gas in the upper atmosphere that helps us by absorbing harmful sunlight. However, when ozone forms closer to the ground, it becomes a harmful pollutant. Ground-level ozone is created by chemical reactions between pollutants like volatile organic compounds (VOCs) and nitrogen oxides (NOx), which are released by vehicles, factories, wood burning, and gasoline. Ozone levels can change based on sunlight and emissions. Ozone levels are often higher on sunny days or in places with lots of traffic or factories.Breathing in too much ozone can cause serious health problems, especially for people living with lung or heart conditions. It is linked to higher rates of asthma, more hospital visits, and even early death. Ozone pollution also harms the environment. It can stunt plant growth, damage crops, and make it harder for plants to absorb carbon dioxide. Evidence Breathing in ozone can cause inflammation of the airways and increase the risk of early death. In children, it can lead to more hospitalizations for breathing trouble [1]. Factors like age, sex, and race can affect how vulnerable people are to ozone exposure [2, 3]. Dust and wildfires can increase ozone levels and lead to more emergency room visits [4]. Over 123 million people in the U.S. are exposed to harmful ozone levels, contributing to an estimated 30,000 to 64,000 early deaths. To fully understand ozone’s effects, more research is needed on how factors like age, job, sex, and race play a role. The strongest evidence shows that the elderly, women, people who are unemployed, and people in blue-collar jobs are at higher risk. There is less evidence about differences based on education, income, or access to central air conditioning [5, 6]. Ozone pollution harms ecosystems too. It can stunt plant growth, damage crops, and reduce plants’ ability to absorb carbon dioxide, which is important for fighting climate change. This harms food production and causes broader environmental damage [7]. Data Source Ozone 2022-2024 estimates from the Washington State Department of Ecology   Methods   This measure looks at peak ozone concentrations from 2022-2024. These are estimated for 5km x 5km grid cells across Washington. Concentrations are estimated by combining expected levels from the National Oceanic and Atmospheric Administration (NOAA) forecast model with measured concentrations from the Washington Ambient Air Monitoring Network. The NOAA forecast model accounts for emissions, meteorology, and topography. The differences between the modeled and measured concentrations are calculated across the grid. This is combined with the forecast model to produce daily maximum 8-hour ozone concentrations. The 4th highest annual daily ozone concentration (as is defined by the EPA to be used to compare to the federal standard) is then calculated for all points in the grid. Each census tract is assigned the ozone level of its most populated grid cell. Grid cell populations were estimated using 2020 census block groups. The Department of Ecology created custom ranking which place the data into 3 ppb intervals: 43–45.9, 46–48.9, 49–51.9, 52–54.9, 55–57.9, 58–60.9, 61–63.9, 64–66.9, 67–69.9, and 70+. Areas not meeting federal health standards were given a rank of 10. More information about federal ozone standards can be found at <a target='_blank' href='https://www.epa.gov/ground-level-ozone-pollution/timeline-ozone-national-ambient-air-quality-standards-naaqs' rel='nofollow ugc noopener noreferrer'>https://www.epa.gov/ground-level- ozone-pollution/timeline-ozone-national-ambient-air-quality-standards-naaqs</a>   Ozone monitoring data are available from the Washington Department of Ecology at https://enviwa.ecology.wa.gov/mobile   The NOAA ozone forecasts are available at: <a target='_blank' href='https://airquality.weather.gov/' rel='nofollow ugc noopener noreferrer'>https://airquality.weather.gov/ </a>Caveats This method assumes ozone levels are the same throughout each census tract. However, ozone can vary within smaller areas, especially in rural areas where census tracts are typically large. Because the same ozone level is used for the entire census tract, it might not reflect the true air quality in some communities. For more detailed data, 5km x 5km ozone data has been added as an overlay on the EHD map. Sources <ol><li>Fann, N., Lamson, A.D., Anenberg, S.C., Wesson, K., Risley, D., Hubbell, B.J. (2012). Estimating the national public health burden associated with exposure to ambient PM2.5 and ozone. Risk analysis: an official publication of the Society for Risk Analysis, 32(1), 81–95. </li><li>Bell, M.L., Dominici, F. (2008). Effect modification of the short-term effects of ozone on mortality in older adults. American Journal of Epidemiology, 167(6), 672-7. </li><li>Medina-Ramón, M., Schwartz, J. (2007). Temperature, temperature extremes, and mortality: a study of acclimatisation and effect modification in 50 US cities. Occupational and environmental medicine, 64(12), 827–33. </li><li>Kelly, F.J., Fussell, J.C. (2020). Global nature of airborne particle toxicity and health effects: a focus on megacities, wildfires, dust storms and residential biomass burning. Toxicology research, 9(4), 331-45. </li><li>Bell, M.L., Zanobetti, A., Dominici, F. (2014). Who is more affected by ozone pollution? A systematic review and meta-analysis. American journal of epidemiology, 180(1), 15–28. </li><li>Malley, C.S., Henze, D.K., Kuylenstierna, J.C.I., Vallack, H.W., Davila, Y., Anenberg, S.C., et al. (2017). Updated Global Estimates of Respiratory Mortality in Adults ≥30Years of Age Attributable to Long-Term Ozone Exposure. Environmental health perspectives, 125(8), 087021. </li></ol>CitationWashington Tracking Network, Washington State Department of Health. Web. "Ozone Concentration". Data obtained from the Department of Ecology, 2022-2024 Ozone Concentration Data. Published September 2025.  Ozone Concentration 2025-09-30T00:00:00 Tumwater WA 98501 WADOH -124.793 -116.846 49.036 45.527 Environmental Exposures ThemeEHDEcologyWTN 2020 Census Tract EHD Map Version 3 Ecology This layer, also referred to as a measure on the Environmental Health Disparities (EHD) Map, estimates ozone levels across Washington. Each census tract is assigned a rank from 1 to 10 that indicates how the tract compares with other tracts, where 1 is the least impacted and 10 is the most impacted. Breathing ozone can harm the lungs, especially for people with asthma or other lung conditions. People living downwind from large cities are often exposed to more ozone, which puts them at higher risk for health problems. This layer was created by the Department of Ecology to support the EHD Map and the Washington Tracking Network (WTN). This layer was created using data from the Washington Department of Ecology. Neither the Washington State Department of Health (WADOH), nor any agency, officer, or employee of the WADOH warrants the accuracy, reliability or timeliness of any information published by this system, nor endorses any content, viewpoints, products, or services linked from this system, and shall not be held liable for any losses caused by reliance on the accuracy, reliability, or timeliness of such information. Portions of such information may be incorrect or not current. Any person or entity who relies on any information obtained from this system does so at their own risk. Esri ArcGIS 13.3.0.52636 dataset 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flIzlfSsnTn22VuQBwoPStyGQTqGXj1HpUtWOSpBQbSRtaSR5WpbT96ylNfP/hmKObVNJjlZVjaWLcWOBjIr3bSIlhnvpN6qHspVCnjnbnj8q8j+GvhWHxfrcOn3MssVulqZpGixuwMAAEgjqR2rn0U5PyM2tFY9gvdPs9TtjBeW8c8R7OM49we34V5/rnwzYbptGm3Dr9nmPP8AwFv8fzrf8RfC2Xwvod5q2leJbyNLWMyeS4K7gO25SOfwrldK1PxpLYx3VveLNE2dqTbSTg46kf1qIbXiwl2aOMvLK6sLhoLuCSGVequuDRW54r1nWNRkt7fV7aGF4QWXy1xuz3zk+naiuhNtamTO1+Av/Im3v/X6f/QVr1WvKvgL/wAibe/9fp/9BWvVayh8KManxsKcOlNpw6VRCHrUuKiWpQcioZpEVVDZz+I9alVipOOhGDTEHymqtnLJNc3SsW2q4VQRwB7cf1NcFWUudnXBe6UtW09BGsijcAcc9RmsJdKlMxY4jiHOScmuzuo2FlMSPujI/CuVuLuITDc23JxknjNdVCpJx1FOOug2pFikZAVQkVVguobi6NtGxaTtjv8AStdorqDT2ZbaQsAdo29a2lK2hmospeRL/wA82/KjyZhxsaotNv8AaotnRjJuOD6/WtiKC7K5lhYbuVwtEnbcOU5vU4XMLyNbyFY0ZmbafSuQlvYm3NGpWTHynYOP1r1uTRpL2zlhlfyllQoTjJGRjpVey8DaLaQIklstzIuf3kpOT+A4ojiIRWp2ULRWp5FdAX0D7YAbhBuVo0yXORnIq/peg3MK/PbyNLIfmcxkge2a9ntNMsNPZmtLKG3ZhhjHGBn8quZB71LxnRI2nXlKPKjx46beAFBazsBypEbVb0/Tr5d+bO4HIIzGR616bKdxzSgDbjHNYvGvaxzS10POptPv47aaU2s6hY2JbYeBg15j8MPGdp4Mu5Lm8s5bhLi2WPMRG5Oh6Hrn69q+iNU/5BF7/wBcJP8A0E18oeH7T7ffaXZ/895Iov8Avogf1q6VT21+ZGUly2seu+OvinoniHwZc6bpou1ublkUrLGF2qGDHkEjtj8ayNCv9PGkWkEd3DvWJQyFwCDjnj616jd+F/DtxD/pOj6fsUY3GFVwPqOlcRrPhb4aRbvN1CGzfuLe83sP+And/KiMo2skxtO92eb+MLlbjXmVWDLFGqZBzz1P86KxrtII72dLWRpbdZGEUjDBZc8EjtxRXWlZGLLPgrxbrPh7Rnt9NuViiklLsDErZPTuPauk/wCFmeKv+f8Aj/8AAdP8K4DRP+QeP941o1NOKcEKaXMzrv8AhZnir/n/AI//AAHT/ClHxN8VD/l/j/8AAdP8K5Cir5UTZHYD4neKx/y/x/8AgOn+FKPih4sH/L/H/wCA6f4Vx1FHJEZ2Q+KXi0Aj+0I//AdP8KZD8TfFUG/Zfxjc5c/6NH1P/Aa5CiodGm9WilJo7Zvix4wZSP7Qi5H/AD7R/wCFZ0/j3X7hcS3EB9xboD+grmqKapQWyD2ku508Hj7XrZkaGa3Rk6FbZM/yq4Pir4uH/MQj/wDAdP8ACuMopOjTerQc8u52afFPxXH9y8t15J4tY+p79Kf/AMLZ8Yf9BCL/AMBo/wDCuJop+xh2Dnl3O3/4W14w/wCghF/4DR/4Uf8AC2vGH/QQi/8AAaP/AAriKKPY0+we0l3O3/4W14w/6CEX/gNH/hTW+K/i9uuoRf8AgOn+FcVRS9jT7Bzy7naf8LW8Xf8AQQi/8B0/wpf+FseL85/tCLP/AF7R/wCFcVRR7Cn2Dnl3Ozm+KfiyeCSF7+LZIpRsW0Y4Iwe1cTCnkLGI2YGPG1geRjoa0tEs4tR12wspywhnuEjcqcHBIBx1rRPh+K6tZr21uoFg8xo4U8zcZGVVZgMhWP3hjC9fTrTUYQeiBuUjFuby7vW3XV3cTn1lkLfzqvsHvXWP4PWJY0kvG86eWCOLCKVG95EO/DHGDGemfz6U7fwvLNBbu9ykT3DRRxIyHlpHkRQT2H7onPuKfNELM5/YPeitDVdOXTbpYVuY5wybtyEHHJGDgkZ49ehH0oqlZkkPgS0tptP1G7uoBcLY2rXCwMxCyNvRBnBBwN+TgjpXSw6VYa7a6Vci3NhLdXE1s62ib1bYqMHw7jaAHO45wNucda4rwrqF1pkAuLSQI/zIQyhlZTwVZSCCD6EV0C+KNVS5WdJYE2RNCsa2sXlKjfeAj27ee5xk1lBS5VY0k1d3NKDwvp88ttAmpzNJfvKLFhbgIyozKrPlsruKngZx1qF/DVr/AGczx30rXwsY77yjCBHsZlXbu3Zz82emOKpR+JtUiheJJYVUlypW2jBi3/e8s7coD6Liqp1e+IYGc4a2FqflH+qBBC9PUDnrV2l3JujX8Q+GYNDgl26hHLcQXH2eWLfHljg5ZQrkgAqQdwB5HrgJqS2WkWVjaLptvcSXNklxJcys+/dICRtwwAC8DockHPpWZqGs3mqKPtZgd87mlW3jWRzjGWcAMx+pp6a9qCaetiXheFEaOMyW8bvGrZyFcgso5PQ9zRaVtQujaPg+1e9l0+LUJTd2lzDb3e+ABB5jhCUO7J2sQOQM9eKjXwtZTeVNb6hObRTcrcO8ADL5CK7FV3HOQwAyRz1rOk8UavL5RNygeOSOXzFhRXd0+4XYDL4/2s1Bba7qNoYjDcYEckkqqUVgWkUK+QRyCAAQeKLT7heJsab4YsNSga8XUXhsnuBbxPOIo2B2gszBpAMDcPu5J68dKYnhm0NhEzahIbyWymvERIQY9sTyKRu3ZORGSOKz18SaiplH+itHKysYns4mjVgMAqhXapxxwBVddXvkWILPgRW72qDavETliy9O+9uevNFpdwujob/w9oo1K6WG7u4bW002C8lzAGZi6xcL8/cyZ56dORzUcXha1/s2G/lmukQSQGWOSOMM0chxlVD7vTBIAIORWNNruoXEJjkmTDW62rkRIGeNSpUMwGTjYvJ54xTpvEWpz2YtXnTy9saErCgdhHjZlgNx24AGTRaXcLxN+bwxZ3OoX1nYS+XDHq32USTRHeihZC2MMQQAn1PHI6VTh8Nafdww3tvqFwtg8dw7mS3HmK0KqzAKGwchlwc1nS+JtWkujc/aVjladbktFCiZlUEBiFA5+Zs+ueabP4h1KdgTLHGoieERwwJGgV/v4VQACe5xmlaXcLxGazp0WnXUK28zywTwJPG0iBWww6EAkZByOtZ1T3N3Pd+V58m/yY1iTgDCDoOKgq1tqSwooopgFFFFADkd4pFeNmR1OVZTgg+1Woxfxad5kUkq2s8hiKpJgOwAOCoPP3hVOtWx1aC2sYbeezafyLr7ShE2wE4UFWGMkfL2I60mCIZ59W81xcS3vmMux/MZ8kL82DnsOD7dabcHVJ2Zrk3kjAB2Mm4kDkgnP1bn3Nbs3i4S2lwBbKk2IktwQDsABDngAfMoVSAORVTVfFE+pw3EQjaJJ2Ukb14wzsR8qrkEv3yeOpqVfsVp3MWe5nupfNuJpJpMY3yMWOPqaKioqyTJ0iXy7FRtzye9XvtP+x+tFFZ0/gQTfvMPtP8AsfrR9p/2P1ooq7k3D7T/ALH60faf9j9aKKLhcPtP+x+tH2n/AGP1ooouFw+0/wCx+tH2n/Y/Wiii4XD7T/sfrR9p/wBj9aKKLhcPtP8AsfrR9p/2P1ooouFw+0/7H60faf8AY/Wiii4XD7T/ALH60faf9j9aKKLhcPtP+x+tH2n/AGP1ooouFw+0/wCx+tH2n/Y/Wiii4XD7T/sfrR9p/wBj9aKKLhcPtP8AsfrRRRRcLn//2Q== 20250626 Tumwater WA 98501 WADOH Feature Layer EPSG 6.3(9.0.0) Ozone Concentration Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. Year Data Year String 254 0 0 Data Year CensusTract2020 Census Tract 2020 String 254 0 0 11 digit 2020 census tract identifier AverageOzoneConcentration Average Ozone Concentration Integer 4 0 0 8-hour ozone design values interpolated at 5km x 5km grid cells in parts per billion Ozone_Rank Ozone Rank Double 8 0 0 Custom ranking based on federal health standards Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. Simple FALSE 0 TRUE FALSE