20250626 10053300 1.0 FGDC 002 https://www.arcgis.com/sharing/rest/content/items/cc2d461afcac47368c3351971f73c258/info/thumbnail/thumbnail1769187884621.png WaterQualityV3 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 10053300 FALSE 20250626 10053300 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 Water is vital for drinking, aquatic life, agriculture, and recreation. It is also crucial for ecosystems and has cultural significance. This measure assesses the quality of waterbodies, which can affect aquatic life and impact human and animal health. For example, pollutants like dioxins can impact the reproduction and development of both people and fish. People who use well water are more affected by environmental water quality because their water is not treated or regulated like water from municipal systems.  Water quality and health risk vary by location. This puts some communities at greater risk. These communities often have less economic access and more people of color.  Testing water quality is important for the health of humans, animals and aquatic life. Under the federal Clean Water Act, all states must keep a list of polluted waters. In Washington, the Department of Ecology (ECY) assesses waterbodies based on the credible data submitted to the agency. From the data that is submitted, Ecology determines which waters are polluted, which are clean, and which do not have enough data to make a determination. Assessing water quality helps find where water is most impacted by pollutants. This information guides water quality improvement plans.  Evidence Polluted water is linked to sickness in both humans and animals, aquatic habitat damage, and bad smells [1, 2]. Communities with both less economic access and more of people of color often face more pollution in their waters [3]. Climate extremes, such as droughts, can impact water quality by concentrating pollutants and increasing water temperature. This can affect health and safety [4]. Heavy rain can also wash pollutants into waterways [5]. Data source Washington State Ecology Water Quality Atlas: <a target='_blank' href='https://apps.ecology.wa.gov/waterqualityatlas/wqa/startpage' rel='nofollow ugc noopener noreferrer'>Water Quality Atlas - Start Page</a> Washington State Ecology Water Quality Assessment: <a target='_blank' href='https://ecology.wa.gov/Water-Shorelines/Water-quality/Water-improvement/Assessment-of-state-waters-303d' rel='nofollow ugc noopener noreferrer'>Assessment of state waters 303d - Washington State Department of Ecology</a> Method This measure displays the total number of unique pollutants in each census tract, based on findings from all water bodies within that tract assessed by ECY as falling under categories 4a, 4b, or 5. This measure is modeled after CalEnviroScreen’s <a target='_blank' href='https://oehha.ca.gov/calenviroscreen/indicator/impaired-water-bodies' rel='nofollow ugc noopener noreferrer'>Impaired Water Bodies </a>Measure. Caveats This measure is not comprehensive. Areas that do not have the resources for water assessment, or that capture their water quality by different metrics, are not included. This measure should be used as a starting point, and not as a sole basis for funding decisions. Water quality on Tribal lands is not included. Tribal governments have requested that Ecology not assess Tribal waters as part of the State’s Water Quality Assessment. Some Tribes in Washington have their own Clean Water Act standards. We plan to confer with Tribes about their level of interest in exploring a process for including their data in this measure, and how we might collaborate on other ways Tribes would like water quality to be represented.  This measure represents the entire census tract, not individual areas within it. These data should always be supplemented with local data and equitable engagement for more accurate insights.   Additional Resources <ul><li>California Office of Environmental Health Hazard Assessment CalEnviroScreen, <a target='_blank' href='https://oehha.ca.gov/calenviroscreen/indicator/impaired-water-bodies' rel='nofollow ugc noopener noreferrer'>Impaired Water Bodies</a> </li><li>Northwest Indian Fisheries Commission, <a target='_blank' href='https://nwifc.org/new-home-for-treaty-rights-at-risk/#:~:text=The%20goal%20of%20the%20Treaty%20Rights%20at%20Risk,to%20do%20to%20restore%20and%20protect%20their%20habitat.' rel='nofollow ugc noopener noreferrer'>New home for Treaty Rights at Risk</a> </li><li>Tribal Water Quality Resources: <a target='_blank' href='https://www.epa.gov/wqs-tech/epa-actions-tribal-water-quality-standards-and-contacts' rel='nofollow ugc noopener noreferrer'>EPA Actions on Tribal Water Quality Standards and Contacts | US EPA,</a> <a target='_blank' href='https://www.epa.gov/system/files/documents/2022-01/revised-cwa-tribal-faqs-2016-508c.pdf' rel='nofollow ugc noopener noreferrer'>FAQs CWA TAS IR | US EPA ARCHIVE DOCUMENT</a> </li><li>Washington State Department of Ecology, <a target='_blank' href='https://ecology.wa.gov/Water-Shorelines/Water-quality?' rel='nofollow ugc noopener noreferrer'>Water Quality</a>   </li><li>Water Quality Standards: <a target='_blank' href='https://ecology.wa.gov/water-shorelines/water-quality/water-quality-standards' rel='nofollow ugc noopener noreferrer'>Water quality standards - Washington State Department of Ecology</a> </li><li>Ecology Data Credibility Standards: <a target='_blank' href='https://apps.ecology.wa.gov/publications/documents/2110032.pdf' rel='nofollow ugc noopener noreferrer'>Water Quality Policy 1-11 Chapter 2. Ensuring Credible Data for Water Quality Management</a> </li></ul>Sources <ol><li>Lin, L., Yang, H., & Xu, X. (2022). Effects of water pollution on human health and disease heterogeneity: a review. Frontiers in environmental science, 10, 880246.</li><li>Haxton, T. J., & Findlay, C. S. (2008). Meta-analysis of the impacts of water management on aquatic communities. Canadian Journal of Fisheries and Aquatic Sciences, 65(3), 437-447. </li><li>Liévanos, R. S. (2018). Impaired Water Hazard Zones: Mapping Intersecting Environmental Health Vulnerabilities and Polluter Disproportionality. ISPRS International Journal of Geo-Information, 7(11), 433. <a target='_blank' href='https://doi.org/10.3390/ijgi7110433' rel='nofollow ugc noopener noreferrer'>https://doi.org/10.3390/ijgi7110433</a> </li><li>Health impacts of drought. (2024, March 28). Drought and Health. <a target='_blank' href='https://www.cdc.gov/drought-health/health-implications/index.html' rel='nofollow ugc noopener noreferrer'>https://www.cdc.gov/drought-health/health-implications/index.html</a> </li><li>National Climate Assessment. (2023.). National Climate Assessment. <a target='_blank' href='https://nca2014.globalchange.gov/' rel='nofollow ugc noopener noreferrer'>https://nca2014.globalchange.gov/</a> </li></ol>CitationWashington Tracking Network, Washington State Department of Health. Web. "Water Quality". Data obtained from the Department of Ecology, 2018 Water Quality Assessment Data. Published September 2025. Water Quality 2025-09-30T00:00:00 Tumwater WA 98501 WADOH -124.793 -116.846 49.036 45.527 EcologyWTNEHDEnvironmental Effects Theme 2020 Census Tract EHD Map Version 3 Ecology This layer, also referred to as a measure on the Environmental Health Disparities (EHD) Map, counts the number of different pollutants detected in waters tested and classified as impaired across Washington. Waterbody cleanliness is important because it supports ecosystems and sustains agriculture. 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. Tribal Nations and communities that rely on natural water sources, such as streams, rivers, lakes, and estuaries, are more likely to be exposed to water pollution. This can harm both their health and cultural practices. Because of this, these communities and Tribes have been, and continue to be, strong advocates for better water quality. This layer was created 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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 20250626 Tumwater WA 98501 WADOH Feature Layer EPSG 6.3(9.0.0) Water Quality 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 TotalUniqueImpairments Total Unique Impairments Integer 4 0 0 Summed number of unique pollutants detected in waters tested and classified as impaired (4a, 4b, and 5d) Water_Quality_Rank Water Quality Rank Double 8 0 0 Decile ranking for water quality 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. 0 Simple FALSE 0 TRUE FALSE