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Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US state level statistics from 2020 TRI releases. The source of state boundary data is the 2020 cartographic boundary shapefiles. These are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based shapefiles while others are available only as state-based files.</SPAN></P></DIV></DIV>

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US state level statistics from 2020 TRI releases. The source of state boundary data is the 2020 cartographic boundary shapefiles. These are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based shapefiles while others are available only as state-based files.</SPAN></P></DIV></DIV>

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US state level statistics from 2020 TRI releases. The source of state boundary data is the 2020 cartographic boundary shapefiles. These are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based shapefiles while others are available only as state-based files.</SPAN></P></DIV></DIV>

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US state level statistics from 2020 TRI releases. The source of state boundary data is the 2020 cartographic boundary shapefiles. These are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based shapefiles while others are available only as state-based files.</SPAN></P></DIV>

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US county level statistics from 2020 TRI releases. The source of county boundary data is the 2020 cartographic boundary shapefiles. These are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based shapefiles while others are available only as state-based files.</SPAN></P></DIV></DIV>

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US county level statistics from 2020 TRI releases. The source of county boundary data is the 2020 cartographic boundary shapefiles. These are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based shapefiles while others are available only as state-based files.</SPAN></P></DIV>

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Name: Counties - Water Releases

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US county level statistics from 2020 TRI releases. The source of county boundary data is the 2020 cartographic boundary shapefiles. These are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based shapefiles while others are available only as state-based files.</SPAN></P></DIV></DIV>

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Layer: Counties - Land Releases (11)

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US county level statistics from 2020 TRI releases. The source of county boundary data is the 2020 cartographic boundary shapefiles. These are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based shapefiles while others are available only as state-based files.</SPAN></P></DIV></DIV>

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US county level statistics from 2020 TRI releases. The source of county boundary data is the 2020 cartographic boundary shapefiles. These are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based shapefiles while others are available only as state-based files.</SPAN></P></DIV>

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US Metropolitan and Micropolitan Statistical Areas (MSA) level statistics from 2020 TRI releases. The source of MSA boundary data is The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population. The CBSAs boundaries are those defined by OMB based on the 2020 Census and published in March 2020.</SPAN></P></DIV></DIV></DIV>

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US Metropolitan and Micropolitan Statistical Areas (MSA) level statistics from 2020 TRI releases. The source of MSA boundary data is The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population. The CBSAs boundaries are those defined by OMB based on the 2020 Census and published in March 2020.</SPAN></P></DIV></DIV></DIV>

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US Large Aquatic Ecosystems (LAE) statistics from 2020 TRI releases. Large Aquatic Ecosystems (LAE) boundaries were dissolved from the hydrologic unit boundaries and codes for the United States, Puerto Rico, and the U.S. Virgin Islands. It was revised for inclusion in the National Atlas of the United States of America, and updated to match the streams file created by the USGS National Mapping Division (NMD) for the National Atlas of the United States of America. This is a revised version of the November 2002 map layer.</SPAN></P></DIV>

Copyright Text: Others who have helped with this map layer and the metadata include Steve Denowski, Greg Allord, Curtis Price, Ken Lanfear and David Lorenz, in addition to other colleagues within the U.S. Geological Survey.

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US Large Aquatic Ecosystems (LAE) statistics from 2020 TRI releases. Large Aquatic Ecosystems (LAE) boundaries were dissolved from the hydrologic unit boundaries and codes for the United States, Puerto Rico, and the U.S. Virgin Islands. It was revised for inclusion in the National Atlas of the United States of America, and updated to match the streams file created by the USGS National Mapping Division (NMD) for the National Atlas of the United States of America. This is a revised version of the November 2002 map layer.</SPAN></P></DIV></DIV>

Copyright Text: Others who have helped with this map layer and the metadata include Steve Denowski, Greg Allord, Curtis Price, Ken Lanfear and David Lorenz, in addition to other colleagues within the U.S. Geological Survey.

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Layer: LAEs - Water Releases (24)

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US Large Aquatic Ecosystems (LAE) statistics from 2020 TRI releases. Large Aquatic Ecosystems (LAE) boundaries were dissolved from the hydrologic unit boundaries and codes for the United States, Puerto Rico, and the U.S. Virgin Islands. It was revised for inclusion in the National Atlas of the United States of America, and updated to match the streams file created by the USGS National Mapping Division (NMD) for the National Atlas of the United States of America. This is a revised version of the November 2002 map layer.</SPAN></P></DIV></DIV>

Copyright Text: Others who have helped with this map layer and the metadata include Steve Denowski, Greg Allord, Curtis Price, Ken Lanfear and David Lorenz, in addition to other colleagues within the U.S. Geological Survey.

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Layer: LAEs - Land Releases (25)

Parent Layer: LAEs

Name: LAEs - Land Releases

Display Field: LAE_Name

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US Large Aquatic Ecosystems (LAE) statistics from 2020 TRI releases. Large Aquatic Ecosystems (LAE) boundaries were dissolved from the hydrologic unit boundaries and codes for the United States, Puerto Rico, and the U.S. Virgin Islands. It was revised for inclusion in the National Atlas of the United States of America, and updated to match the streams file created by the USGS National Mapping Division (NMD) for the National Atlas of the United States of America. This is a revised version of the November 2002 map layer.</SPAN></P></DIV>

Copyright Text: Others who have helped with this map layer and the metadata include Steve Denowski, Greg Allord, Curtis Price, Ken Lanfear and David Lorenz, in addition to other colleagues within the U.S. Geological Survey.

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Layer: LAEs - Population (2020) (26)

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Name: LAEs - Population (2020)

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Copyright Text: Others who have helped with this map layer and the metadata include Steve Denowski, Greg Allord, Curtis Price, Ken Lanfear and David Lorenz, in addition to other colleagues within the U.S. Geological Survey.

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Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>The TRI National Analysis is EPA's annual interpretation of TRI data at various summary levels. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and the 2020 TRI data compare to data from previous years. This dataset reports US Large Aquatic Ecosystems (LAE) statistics from 2020 TRI releases. Large Aquatic Ecosystems (LAE) boundaries were dissolved from the hydrologic unit boundaries and codes for the United States, Puerto Rico, and the U.S. Virgin Islands. It was revised for inclusion in the National Atlas of the United States of America, and updated to match the streams file created by the USGS National Mapping Division (NMD) for the National Atlas of the United States of America. This is a revised version of the November 2002 map layer.</SPAN></P></DIV>

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• Total_Gross_Releases_lbs ( type: esriFieldTypeDouble, alias: Total_Gross_Releases_lbs )
• Onsite_Air_Releases_Ibs ( type: esriFieldTypeDouble, alias: Onsite_Air_Releases_lbs )
• Onsite_Water_Releases_Ibs ( type: esriFieldTypeDouble, alias: Onsite_Water_Releases_lbs )
• Onsite_Land_Releases_Ibs ( type: esriFieldTypeDouble, alias: Onsite_Land_Releases_lbs )
• Pop_in_1Mile ( type: esriFieldTypeString, alias: Pop_in_1Mile, length: 255 )
• MinorityPop_in_1Mile ( type: esriFieldTypeString, alias: MinorityPop_in_1Mile, length: 255 )
• Pop_in_Poverty_in_1Mile ( type: esriFieldTypeString, alias: Pop_in_Poverty_in_1Mile, length: 255 )
• pctMinority_in_1Mile ( type: esriFieldTypeString, alias: pctMinority_in_1Mile, length: 255 )
• pctPoverty_in_1Mile ( type: esriFieldTypeString, alias: pctPoverty_in_1Mile, length: 255 )
• NonMinorityPop_in_1Mile ( type: esriFieldTypeString, alias: NonMinorityPop_in_1Mile, length: 255 )
• NonPovertyPop_in_1Mile ( type: esriFieldTypeString, alias: NonPovertyPop_in_1Mile, length: 255 )
• RSEI_Score ( type: esriFieldTypeDouble, alias: RSEI_Score )
• Num_of_RSEI_facilities_in_count ( type: esriFieldTypeDouble, alias: Num_of_RSEI_facilities_in_count )
• RSEI_National_Rank ( type: esriFieldTypeDouble, alias: RSEI_National_Rank )
• RSEI_County_Rank ( type: esriFieldTypeDouble, alias: RSEI_County_Rank )
• PFAS_Releases_Ibs ( type: esriFieldTypeDouble, alias: PFAS_Releases_Ibs )

Layer: Facilities - Water Releases (41)

Parent Layer: Facilities

Name: Facilities - Water Releases

Display Field: FACILITY_NAME

Type: Feature Layer

Geometry Type: esriGeometryPoint

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MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

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Max Scale: 0

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Has Labels: false

Can Modify Layer: true

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YMin: -1605317.7255873745
XMax: 1.6224807785446014E7
YMax: 1.1145294112520542E7
Spatial Reference: 102100  (3857)



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Supports Sql Expression: true
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Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false


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HasM: false

Has Attachments: false

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• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• tri_facility_id ( type: esriFieldTypeString, alias: tri_facility_id, length: 255 )
• FACILITY_NAME ( type: esriFieldTypeString, alias: FACILITY_NAME, length: 255 )
• STREET_ADDRESS ( type: esriFieldTypeString, alias: STREET_ADDRESS, length: 255 )
• CITY_NAME ( type: esriFieldTypeString, alias: CITY_NAME, length: 255 )
• STATE_ABBR ( type: esriFieldTypeString, alias: STATE_ABBR, length: 255 )
• ZIP_CODE ( type: esriFieldTypeString, alias: ZIP_CODE, length: 255 )
• Top_Industry_Sector ( type: esriFieldTypeString, alias: Top_Industry_Sector, length: 255 )
• Federal_Facility ( type: esriFieldTypeString, alias: Federal_Facility, length: 255 )
• Total_Gross_Releases_lbs ( type: esriFieldTypeDouble, alias: Total_Gross_Releases_lbs )
• Onsite_Air_Releases_Ibs ( type: esriFieldTypeDouble, alias: Onsite_Air_Releases_lbs )
• Onsite_Water_Releases_Ibs ( type: esriFieldTypeDouble, alias: Onsite_Water_Releases_lbs )
• Onsite_Land_Releases_Ibs ( type: esriFieldTypeDouble, alias: Onsite_Land_Releases_lbs )
• Pop_in_1Mile ( type: esriFieldTypeString, alias: Pop_in_1Mile, length: 255 )
• MinorityPop_in_1Mile ( type: esriFieldTypeString, alias: MinorityPop_in_1Mile, length: 255 )
• Pop_in_Poverty_in_1Mile ( type: esriFieldTypeString, alias: Pop_in_Poverty_in_1Mile, length: 255 )
• pctMinority_in_1Mile ( type: esriFieldTypeString, alias: pctMinority_in_1Mile, length: 255 )
• pctPoverty_in_1Mile ( type: esriFieldTypeString, alias: pctPoverty_in_1Mile, length: 255 )
• NonMinorityPop_in_1Mile ( type: esriFieldTypeString, alias: NonMinorityPop_in_1Mile, length: 255 )
• NonPovertyPop_in_1Mile ( type: esriFieldTypeString, alias: NonPovertyPop_in_1Mile, length: 255 )
• RSEI_Score ( type: esriFieldTypeDouble, alias: RSEI_Score )
• Num_of_RSEI_facilities_in_count ( type: esriFieldTypeDouble, alias: Num_of_RSEI_facilities_in_count )
• RSEI_National_Rank ( type: esriFieldTypeDouble, alias: RSEI_National_Rank )
• RSEI_County_Rank ( type: esriFieldTypeDouble, alias: RSEI_County_Rank )
• PFAS_Releases_Ibs ( type: esriFieldTypeDouble, alias: PFAS_Releases_Ibs )

Layer: Facilities - Land Releases (42)

Parent Layer: Facilities

Name: Facilities - Land Releases

Display Field: FACILITY_NAME

Type: Feature Layer

Geometry Type: esriGeometryPoint

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MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

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YMin: -1605317.7255873745
XMax: 1.6224807785446014E7
YMax: 1.1145294112520542E7
Spatial Reference: 102100  (3857)



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HasM: false

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• FACILITY_NAME ( type: esriFieldTypeString, alias: FACILITY_NAME, length: 255 )
• STREET_ADDRESS ( type: esriFieldTypeString, alias: STREET_ADDRESS, length: 255 )
• CITY_NAME ( type: esriFieldTypeString, alias: CITY_NAME, length: 255 )
• STATE_ABBR ( type: esriFieldTypeString, alias: STATE_ABBR, length: 255 )
• ZIP_CODE ( type: esriFieldTypeString, alias: ZIP_CODE, length: 255 )
• Top_Industry_Sector ( type: esriFieldTypeString, alias: Top_Industry_Sector, length: 255 )
• Federal_Facility ( type: esriFieldTypeString, alias: Federal_Facility, length: 255 )
• Total_Gross_Releases_lbs ( type: esriFieldTypeDouble, alias: Total_Gross_Releases_lbs )
• Onsite_Air_Releases_Ibs ( type: esriFieldTypeDouble, alias: Onsite_Air_Releases_lbs )
• Onsite_Water_Releases_Ibs ( type: esriFieldTypeDouble, alias: Onsite_Water_Releases_lbs )
• Onsite_Land_Releases_Ibs ( type: esriFieldTypeDouble, alias: Onsite_Land_Releases_lbs )
• Pop_in_1Mile ( type: esriFieldTypeString, alias: Pop_in_1Mile, length: 255 )
• MinorityPop_in_1Mile ( type: esriFieldTypeString, alias: MinorityPop_in_1Mile, length: 255 )
• Pop_in_Poverty_in_1Mile ( type: esriFieldTypeString, alias: Pop_in_Poverty_in_1Mile, length: 255 )
• pctMinority_in_1Mile ( type: esriFieldTypeString, alias: pctMinority_in_1Mile, length: 255 )
• pctPoverty_in_1Mile ( type: esriFieldTypeString, alias: pctPoverty_in_1Mile, length: 255 )
• NonMinorityPop_in_1Mile ( type: esriFieldTypeString, alias: NonMinorityPop_in_1Mile, length: 255 )
• NonPovertyPop_in_1Mile ( type: esriFieldTypeString, alias: NonPovertyPop_in_1Mile, length: 255 )
• RSEI_Score ( type: esriFieldTypeDouble, alias: RSEI_Score )
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• RSEI_National_Rank ( type: esriFieldTypeDouble, alias: RSEI_National_Rank )
• RSEI_County_Rank ( type: esriFieldTypeDouble, alias: RSEI_County_Rank )
• PFAS_Releases_Ibs ( type: esriFieldTypeDouble, alias: PFAS_Releases_Ibs )

Layer: Facilities - Risk-Screening Score (43)

Parent Layer: Facilities

Name: Facilities - Risk-Screening Score

Display Field: FACILITY_NAME

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Geometry Type: esriGeometryPoint

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YMin: -1605317.7255873745
XMax: 1.6224807785446014E7
YMax: 1.1145294112520542E7
Spatial Reference: 102100  (3857)



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HasM: false

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• FACILITY_NAME ( type: esriFieldTypeString, alias: FACILITY_NAME, length: 255 )
• STREET_ADDRESS ( type: esriFieldTypeString, alias: STREET_ADDRESS, length: 255 )
• CITY_NAME ( type: esriFieldTypeString, alias: CITY_NAME, length: 255 )
• STATE_ABBR ( type: esriFieldTypeString, alias: STATE_ABBR, length: 255 )
• ZIP_CODE ( type: esriFieldTypeString, alias: ZIP_CODE, length: 255 )
• Top_Industry_Sector ( type: esriFieldTypeString, alias: Top_Industry_Sector, length: 255 )
• Federal_Facility ( type: esriFieldTypeString, alias: Federal_Facility, length: 255 )
• Total_Gross_Releases_lbs ( type: esriFieldTypeDouble, alias: Total_Gross_Releases_lbs )
• Onsite_Air_Releases_Ibs ( type: esriFieldTypeDouble, alias: Onsite_Air_Releases_lbs )
• Onsite_Water_Releases_Ibs ( type: esriFieldTypeDouble, alias: Onsite_Water_Releases_lbs )
• Onsite_Land_Releases_Ibs ( type: esriFieldTypeDouble, alias: Onsite_Land_Releases_lbs )
• Pop_in_1Mile ( type: esriFieldTypeString, alias: Pop_in_1Mile, length: 255 )
• MinorityPop_in_1Mile ( type: esriFieldTypeString, alias: MinorityPop_in_1Mile, length: 255 )
• Pop_in_Poverty_in_1Mile ( type: esriFieldTypeString, alias: Pop_in_Poverty_in_1Mile, length: 255 )
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• NonPovertyPop_in_1Mile ( type: esriFieldTypeString, alias: NonPovertyPop_in_1Mile, length: 255 )
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• RSEI_National_Rank ( type: esriFieldTypeDouble, alias: RSEI_National_Rank )
• RSEI_County_Rank ( type: esriFieldTypeDouble, alias: RSEI_County_Rank )
• PFAS_Releases_Ibs ( type: esriFieldTypeDouble, alias: PFAS_Releases_Ibs )