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{"sheet":"INTRODUCTION","index":0,"n_rows":13,"n_cols":1,"rows_kept":13}
["Introduction: Watershed Index Online (WSIO) Indicator Data Tables"]
["Version 2.5, released April 25, 2023"]
["Contents of this file: WSIO indicator data at the 12-Digit Hydrologic Unit (HUC12) scale for US Environmental Protection Agency Region 9 (including CA, AZ, NV) "]
["About WSIO: The Watershed Index Online (WSIO) is a U.S. Environmental Protection Agency (EPA) website accessible at www.epa.gov/wsio. WSIO contains comparative analysis tools and an extensive, periodically updated watershed indicator data library. WSIO tools and data help users compare watershed units in a user-defined geographic area, for a purpose of their choice, using factors they select as most relevant to their comparison. The content in the WSIO website and data tables is technical and intended for scientific audiences. Compilation and analysis of WSIO indicator information has involved EPA Regional Offices, Office of Water, Office of Research and Development, and Office of Environmental Information as well as EPA contractors and other collaborators."]
["Watershed Basics: Every community is part of a watershed, broadly defined as an area of land that drains to a common body of water, such as a stream, river, lake, or bay. Watersheds vary widely in scale, from as small as the land area draining to a single pond, to the one million square mile Mississippi River Basin. At all scales, land use and activities throughout a watershed influence the health of downstream waters.\nComparing watershed similarities and differences is one way in which citizens, communities, and their government agencies learn about their environment, identify water pollution control options, and plan for effective lake, river or stream restoration and protection. A wide variety of watershed characteristics (such as environmental traits, sources of degradation, and community factors) may influence water quality, environmental health, and quality of life. WSIO provides standardized information on hundreds of watershed characteristics across the conterminous US. \nThe national Watershed Boundary Dataset (WBD) is a standardized system to map watershed units at a series of scales that are catalogued with Hydrologic Unit Codes, or HUCs. The WSIO indicator data in this file have been compiled at the HUC12 scale. Individual HUC12s average approximately 35 square miles in area and there are approximately 83,000 HUC12s in the conterminous U.S. Although HUC12 boundaries undergo minor revisions on a continual basis, WSIO indicators are analyzed with an EPA version of the NHDPlus Version 2 WBD Snapshot, an unchanging HUC12 boundary dataset (see https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BBA1041E9-02B6-40ED-8DB0-B1EEF68B6CA7%7D  for more information)."]
["WSIO Indicators: The WSIO indicators in this file measure characteristics of HUC12s. Four categories of indicators occur in WSIO: Base, Ecological, Stressor, and Social. \nBase indicators are metrics such as HUC12 ID numbers, HUC12 size or total stream mileage that are value-neutral in that no inference is made about whether that characteristic has a positive or negative effect on watershed condition. Ecological indicators, such as percent natural vegetation cover or wetlands area, measure the current condition of aquatic ecosystems and the HUC12’s capacity to maintain or reestablish natural structure, function, and resilience. Stressor indicators, such as percent impervious cover or stream length reported as impaired, measure the presence and amount of human activity in the HUC12 that can increase pollutant loading and degrade aquatic ecosystems. Social indicators, such as percent protected lands and waters or existence of watershed restoration projects, address community, regulatory, economic, and/or behavioral factors that influence watershed management approaches and planning. \nEcological, stressor, and social indicators have been calculated with consistent directionality within each category (for example, higher values of ecological indicators correspond greater potential for healthier aquatic ecosystems). However, WSIO users are advised to consider whether the directionality of WSIO indicator values is consistent with their own intended use. For more information about indicator categories, please visit www.epa.gov/rps. Note also that WSIO indicator values are local (i.e., measure characteristics only within the HUC12 itself) not cumulative (i.e., measure characteristics in the HUC12 plus all upstream HUC12s). Most WSIO indicators can be converted to cumulative values using flow routing tools to determine the full extent of upstream watersheds.\n"]
["WSIO Indicators in this file: The compilation of WSIO indicator data has been ongoing since 2008 and over one thousand nationwide indicators have been compiled and periodically updated during that time. Obsolete indicators are archived and current indicators are maintained in active data tables. The national WSIO indicator dataset covering the lower 48 states has been divided into individual data tables for the ten EPA Regions. This file contains WSIO indicators for HUC12s that intersect the EPA Region listed above in row 3. For HUC12s that cross state borders, the indicator values reflect conditions throughout the entire HUC12 (i.e., these HUC12s are not truncated at the state border). \nIndividual worksheets in this file include the following:"]
[]
["GLOSSARY_DEFINITIONS: this worksheet contains several key terms and abbreviations that are frequently used throughout the WSIO indicator descriptions."]
[]
["INDICATOR_INFO: this is the metadata table with information about every WSIO indicator found in this file.  Fields include indicator name, field name, description, and source."]
[]
["WSIO_REGIONAL_DATA_TABLE: this is the WSIO indicator data table; rows are HUC12s and columns are WSIO indicator values for those HUC12s. Each column in this worksheet can be filtered by clicking the gray arrow on the right side of the column header. Filtering can be helpful for isolating values for only certain geographic areas within the EPA Region (e.g. filtering by state), or for looking at values that meet a certain threshold or other criteria (e.g. filtering for only non-zero values of a given indicator). If necessary, the table can be exported to other common file formats such as .CSV to use in other geospatial tools."]

{"sheet":"GLOSSARY_DEFINITIONS","index":1,"n_rows":17,"n_cols":2,"rows_kept":17}
["Indicator Name/Glossary Term","Definition"]
["NHDPlus2","The National Hydrography Dataset Plus Version 2 (NHDPlus2) is a collection of geospatial datasets on the location and attributes of surface waters in the United States and their drainage areas. NHDPlus2 datasets are derived from static snapshots of the National Hydrography Dataset (NHD) surface water network, Watershed Boundary Dataset (WBD) hydrologic units (12-digit), and National Elevation Dataset (NED) topography. NHDPlus2 is the current standard for US EPA and many other users of nationally consistent geospatial data on surface waters. For more information and data access go to: http://www.horizon-systems.com/NHDPlus/NHDPlusV2_home.php."]
["NHD Snapshot","The NHDPlus2 National Hydrography Dataset Snapshot (NHD Snapshot) is a geospatial database of surface water features (rivers, streams, lakes, reservoirs, etc.) in the United States. The NHD Snapshot depicts the location of surface waters at medium resolution (1:100,000-scale or better) as line or polygon features with information on upstream/downstream connections. The NHD Snapshot is a static copy of the National Hydrography Dataset (NHD) maintained by the US Geological Survey which was used for development of NHDPlus2. Because the NHD undergoes frequent updates by USGS, and because improvements were applied during NHDPlus2 development, the NHD Snapshot is provided for download by NHDPlus2 developers to serve as a standard hydrography dataset for users."]
["NED Snapshot","The NHDPlus2 National Elevation Dataset Snapshot (NED Snapshot) is a geospatial gridded dataset of the land surface elevation of the United States at 30-meter resolution. The NED Snapshot is a static copy of the National Elevation Dataset (NED) maintained by the US Geological Survey (USGS) which was used for development of NHDPlus2. Because the NED undergoes frequent updates by USGS, the NED Snapshot is provided for download by NHDPlus2 developers to serve as a standard elevation dataset for users."]
["WBD Snapshot","The NHDPlus2 Watershed Boundary Dataset Snapshot (WBD Snapshot) is a geospatial dataset of surface water drainage area boundaries in the United States. The WBD Snapshot is a static copy of 12-digit hydrologic unit (HUC12) boundaries in the Watershed Boundary Dataset (WBD) maintained by the US Geological Survey and Natural Resources Conservation Service which was used for development of NHDPlus2. Because the WBD undergoes frequent updates by USGS and NRCS, the WBD Snapshot is provided for download by NHDPlus2 developers to serve as a standard HUC12 boundary dataset for users."]
["WBD Snapshot, EnviroAtlas Version","The EnviroAtlas version of the NHDPlus2 Watershed Boundary Dataset (WBD Snapshot, EnviroAtlas Version) is an edited version of the WBD Snapshot. To create the EnviroAtlas Version, the WBD Snapshot was clipped to the boundaries of the United States and manually edited to eliminate overlapping HUC12 boundaries. Additional information on the WBD Snapshot, EnviroAtlas Version can be found at: http://www.epa.gov/enviroatlas/enviroatlas-data-download-step-2."]
["Water Mask","The Water Mask is a geospatial grid dataset depicting the location of surface waters in the United States. The Water Mask combines surface water features in the NHDPlus2 with areas classified as open water or wetlands in the National Land Cover Database (NLCD). The Water Mask was created by overlaying a grid of NHDPlus2 surface water features (the NHDPlus2 CatSeed grid) with pixels in the NLCD Land Cover dataset classified as open water (code 11), woody wetlands (code 90), and emergent herbaceous wetlands (code 95). The spatial resolution of the Water Mask grid is 30 meters. The June 2022 version of the Water Mask was generated with the NLCD 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). See also NHDPlus2 glossary definition."]
["Wetness Index","The Wetness Index is a geospatial grid dataset of Wetness Index values for the United States. The Wetness Index is a relative measure of average soil moisture and runoff potential based on topography and is also known as the Topographic Index. The dataset stores a Wetness Index value for each grid pixel based on the magnitude of the pixel's upstream drainage area and pixel slope. The Wetness Index grid was generated from the NHDPlus2 NED Snapshot and NHDPlus2 Flow Accumulation grids using the following steps: (1) the NED Snapshot was used to create a gridded dataset of land surface slope in degrees; (2) a Wetness Index value was calculated for each grid pixel as ln(Flow Accumulation/tan(Slope)); (3) a smoothed Wetness Index grid was calculated as the average of step 2 values in each 3-by-3 pixel block; (4) the final Wetness Index value for each grid pixel was calculated as the average of the unsmoothed value (step 2) and the smoothed value (step 3). The spatial resolution of the Wetness Index grid is 30 meters. See also NHDPlus2 glossary definition."]
["Riparian Zone (RZ)","The Riparian Zone (RZ) is the corridor of land adjacent to surface waters. The RZ is delineated for the United States in a geospatial grid dataset depicting surface water features and adjacent buffer areas. The RZ grid was generated by creating a 108 meter buffer around surface waters in the Water Mask dataset. The buffer includes areas on both sides of surface waters and the buffer size of 108 meters was selected based on the spatial resolution of the Water Mask grid to approximate a 100 meter buffer. The spatial resolution of the RZ grid is 30 meters. See also Water Mask glossary definition."]
["Hydrologically Connected Zone (HCZ)","The Hydrologically Connected Zone (HCZ) is comprised of wet areas with high runoff potential that are contiguous to surface water. The HCZ is delineated for the United States for indicator calculations in a geospatial grid dataset depicting surface water features and wet areas that are contiguous to surface water. The HCZ grid was generated using the Wetness Index and Water Mask grids. The Wetness Index grid was first used to identify wet areas based on topography (i.e., low-lying, low-slope areas), defined as pixels with a Wetness Index of 550 or greater. The HCZ was then delineated as wet pixels in the Wetness Index grid that were also contiguous to surface water in the Water Mask. Wet pixels that were isolated from surface water were not included in the HCZ grid. The spatial resolution of the HCZ grid is 30 meters. See also Water Mask and Wetness Index glossary definitions."]
["Hydrologically Active Zone (HAZ)","The Hydrologically Active Zone (HAZ) is a geospatial grid dataset that combines the Riparian Zone grid and the Hydrologically Connected Zone grid. See also Riparian Zone and Hydrologically Connected Zone definitions."]
["Catchment","A Catchment is the local drainage area for a surface water feature (e.g., river or lake segment) in the NHDPlus2 database. Within the EPA ATTAINS database, Catchments are used for area-based measurements of the extent of waters with surface water quality assessments, designated use impairments, and Total Maximum Daily Loads (TMDLs). An overlay of catchments and HUC12s is completed to calculate HUC12 values of the extent of assessed waters, impaired waters, and TMDLs. Catchments are typically smaller than HUC12s (i.e., one HUC12 contains many Catchments) and the boundaries of Catchments and HUC12s are generally aligned. However, in some cases the total area of catchments associated with a HUC12 may be smaller or larger than the area of the HUC12 due to alignment differences. See also EPA ATTAINS Web Service and NHDPlus2 glossary definitions."]
["EPA ATTAINS Web Service","The EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) is an online system for tracking information on the condition of the Nation’s surface waters. ATTAINS stores data on surface water quality assessments, designated use impairments, and Total Maximum Daily Loads completed by states and EPA under Section 305(b) and Section 303(d) of the Clean Water Act. EPA maintains several web services to allow the public to access ATTAINS data. These web services were queried in August 2021 to calculate HUC12 indicators related to assessed waters, impaired waters, and TMDLs. For more information see https://www.epa.gov/waterdata/attains."]
["EnviroAtlas","EnviroAtlas is a project led by EPA Office of Research and Development that provides tool and data for exploring the benefits that people receive from nature. The EnviroAtlas team has developed several geospatial datasets on watershed conditions, and dozens of indicators of watershed conditions measured for all HUC12s in the nation. Additional information on EnviroAtlas can be found at: http://www.epa.gov/enviroatlas."]
["Preliminary Healthy Watersheds Assessment (PHWA)","The 2021 EPA Preliminary Healthy Watersheds Assessment was completed in 2021 by the US EPA Healthy Watersheds Program. The PHWA characterizes watershed health and vulnerability at the 12-digit hydrologic unit (HUC12) watershed scale across each state and ecoregion in the contiguous US. By providing a consistent, base-level characterization of watershed health and vulnerability at the HUC12 scale, the PHWA: ensures that states have basic, statewide information on gradients of watershed condition that can help them identify and prioritize opportunities for healthy waters protection, communicate with protection partners, and support protection approaches; provides a foundation of nationally available watershed condition data that can be built on and enhanced as better data become available; supports state efforts to include healthy watersheds protection as part of their Integrated Reporting and nonpoint source pollution control strategies; and support the Clean Water Act goal of 'maintaining' as well as restoring the integrity of waters across the nation. Additional information can be found at: https://www.epa.gov/sites/production/files/2015-11/documents/151030national_phwa_factsheet.pdf."]
["Climate Projection Data","Indicators of projected climate change are quantified from outputs of General Circulation Models (GCMs) developed for the 5th Climate Model Intercomparison Program (CMIP5) of the Intergovernmental Panel on Climate Change. GCMs provide projections of average air temperatures and precipitation totals for large areas that cover several thousand square miles. The National Aeronautics and Space Administration (NASA) has applied statistical methods to downscale GCM outputs to produce higher-resolution model results across a 0.5 mile (800 meter) model grid over the contiguous US. As part of the National Climate Change Viewer (NCCV) effort, the US Geological Survey (USGS) analyzed the downscaled outputs of GCMs to summarize historical and future precipitation and temperature. The USGS NCCV grids average the results of 30 different GCMs to quantify projected changes in climate and were used to calculate HUC12 indicators of projected climate change. More information on the USGS NCCV project and data is available at: https://www.usgs.gov/ecosystems/climate-research-and-development-program/science/national-climate-change-viewer-nccv."]
["Hydrology Projection Data","Indicators of projected hydrologic change are quantified from a water-balance model applied by the US Geological Survey (USGS) as part of the National Climate Change Viewer (NCCV) effort. The water-balance model calculates various components of the hydrological cycle based on estimated climate conditions. For example, precipitation amounts are used to estimate soil moisture and surface runoff. The climate data input to the model are the same projections used to quantify HUC12 indicators of projected climate change. The climate change projections average the results of 30 different General Circulation Models (GCMs) developed for the 5th Climate Model Intercomparison Program (CMIP5) of the Intergovernmental Panel on Climate Change. More information on the USGS NCCV project and data is available at: https://www.usgs.gov/ecosystems/climate-research-and-development-program/science/national-climate-change-viewer-nccv. See also the Climate Projection Data glossary definition."]

{"sheet":"INDICATOR_INFO","index":2,"n_rows":513,"n_cols":7,"rows_kept":513}
["Sorting Numeric","Category","Subcategory","Indicator Name","Field Name","Indicator Description","Source"]
[1,"Base","Base Indicators","Hydrologic Unit Code 12-Digit (HUC12)","HUC12_TEXT","Twelve-digit Hydrologic Unit Code (HUC12) from the NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version). The 12-digit Hydrologic Unit is the smallest drainage area delineation in the Watershed Boundary Dataset (WBD) maintained by the US Geological Survey and Natural Resources Conservation Service. They are identified by their 12-digit Hydrologic Unit Code (HUC) and are therefore referred to as HUC12s. See also WBD Snapshot, EnviroAtlas Version glossary definitions.","NHDPlus2 Watershed Boundary Dataset (WBD) Snapshot, EnviroAtlas Version (February 2015 version)"]
[2,"Base","Base Indicators","HUC12 Name","NAME_HUC12","Name of the HUC12. Source data was the NHDPlus2 WBD Snapshot (January 2015 version). See also WBD Snapshot glossary definition.","NHDPlus2 Watershed Boundary Dataset (WBD) Snapshot (Version 01, August 2012)"]
[3,"Base","Base Indicators","Hydrologic Unit Code 8-Digit (HUC8)","HUC08","Eight-digit Hydrologic Unit Code (HUC8) that contains the HUC12. Calculated as the first 8-digits of the HUC12 code.","NHDPlus2 Watershed Boundary Dataset (WBD) Snapshot, EnviroAtlas Version (February 2015 version)"]
[4,"Base","Base Indicators","HUC8 Name","NAME_HUC08","Name of the 8-digit Hydrologic Unit Code (HUC8) that contains the HUC12. Source data was the WBDHU8 geospatial dataset, June 2013 version (http://www.nrcs.usda.gov/wps/portal/nrcs/main/national/water/watersheds/dataset/; downloaded February 2014).","Watershed Boundary Dataset HUC8 (WBDHU8; June 2013 version)"]
[5,"Base","Base Indicators","Hydrologic Unit Code 6-Digit (HUC6)","HUC06","Six-digit Hydrologic Unit Code (HUC6) that contains the HUC12. Calculated as the first 6-digits of the HUC12 code.","NHDPlus2 Watershed Boundary Dataset (WBD) Snapshot (Version 01, August 2012)"]
[6,"Base","Base Indicators","HUC6 Name","NAME_HUC06","Name of the 6-digit Hydrologic Unit Code (HUC6) that contains the HUC12. Source data was the WBDHU6 geospatial dataset, June 2013 version (http://www.nrcs.usda.gov/wps/portal/nrcs/main/national/water/watersheds/dataset/; downloaded February 2014).","Watershed Boundary Dataset HUC6 (WBDHU6; June 2013 version)"]
[7,"Base","Base Indicators","Area of HUC12","AREA_HUC12","The total area of the HUC12 in square meters. Calculated from a 30-meter resolution grid of HUC12 polygons in the NHDPlus2 WBD Snapshot, EnviroAtlas Version (February 2015 version). See also WBD Snapshot, EnviroAtlas Version glossary definition.","NHDPlus2 Watershed Boundary Dataset (WBD) Snapshot, EnviroAtlas Version (February 2015 version)"]
[8,"Base","Base Indicators","% Land in HUC12","LAND_PCT_HUC12","Percent of the HUC12 that is land (i.e., not classified as surface water by the Water Mask). Calculated from the Water Mask map layer (June 2022 version). Equation used: (HUC12 Area - Water Mask Area) / HUC12 Area * 100. See also Water Mask glossary definition.","Water Mask (June 2022 version)"]
[9,"Base","Base Indicators","% Water in HUC12","WATER_PCT_HUC12","Percent of the HUC12 that is surface water, as identified by the Water Mask. Calculated from the Water Mask map layer (June 2022 version). Equation used: (Water Mask Area / HUC12 Area) * 100. See also Water Mask glossary definition.","Water Mask (June 2022 version)"]
[10,"Base","Base Indicators","% Riparian Zone (RZ) in HUC12","RIPARIAN_ZONE_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone (RZ). Calculated from the Riparian Zone map layer (June 2022 version). Equation used: RZ Area / HUC12 Area * 100. See also Riparian Zone glossary definition.","Riparian Zone (June 2022 Version)"]
[11,"Base","Base Indicators","% Hydrologically Connected Zone (HCZ) in HUC12","HYDROCONNECTED_ZONE_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone (HCZ). Calculated from the Hydrologically Connected Zone map layer (June 2022 version). Equation used: HCZ Area / HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","Hydrologically Connected Zone (June 2022 version)"]
[12,"Base","Base Indicators","% Hydrologically Active Zone (HAZ) in HUC12","HYDROACTIVE_ZONE_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Active Zone (HAZ). Calculated from the Hydrologically Active Zone map layer (June 2022 version). Equation used: HAZ Area / HUC12 Area * 100. See also Hydrologically Active Zone glossary definition.","Hydrologically Active Zone (June 2022 version)"]
[13,"Base","Base Indicators","Downstream HUC12","NEXT_DOWN_HUC12","The HUC12 located immediately downstream from the outlet of the HUC12. The downstream HUC12 was identified as part of flow routing analysis of HUC12s in the NHDPlus2 WBD Snapshot, EnviroAtlas Version, using the NHDPlus2 flow network. Created by EPA EnviroAtlas in Fall 2015. See also NHDPlus2 and WBD Snapshot, EnviroAtlas version glossary definitions.","Based on analysis of HUC12 flow routing by EPA EnviroAtlas in fall 2015 using NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version) and NHDPlus2 flow routing tables"]
[14,"Base","Base Indicators","Upstream HUC12 Count, Not Including This HUC12","UP_HUC12_COUNT_NOTINCL","Number of HUC12s upstream of, and draining to, the HUC12. This count does not include the HUC12 for which this indicator is calculated. The number of upstream HUC12s was determined as part of flow routing analysis of HUC12s in the NHDPlus2 WBD Snapshot, EnviroAtlas Version, using the NHDPlus2 flow network. Created by EPA EnviroAtlas in Fall 2015. See also NHDPlus2 and WBD Snapshot, EnviroAtlas version glossary definitions.","Based on analysis of HUC12 flow routing by EPA EnviroAtlas in fall 2015 using NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version) and NHDPlus2 flow routing tables"]
[15,"Base","Base Indicators","Upstream HUC12 Count, Including This HUC12","UP_HUC12_COUNT_INCL","Number of HUC12s upstream of, and draining to, the HUC12. This count includes the HUC12 for which this indicator is calculated. The number of upstream HUC12s was determined as part of flow routing analysis of HUC12s in the NHDPlus2 WBD Snapshot, EnviroAtlas Version, using the NHDPlus2 flow network. Created by EPA EnviroAtlas in Fall 2015. See also NHDPlus2 and WBD Snapshot, EnviroAtlas version glossary definitions.","Based on analysis of HUC12 flow routing by EPA EnviroAtlas in fall 2015 using NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version) and NHDPlus2 flow routing tables"]
[16,"Base","Base Indicators","Upstream HUC12 Area, Not Including This HUC12","UP_HUC12_AREA_NOTINCL","Area of HUC12s upstream of, and draining to, the HUC12 (square kilometers). This area does not include the HUC12 for which this indicator is calculated. The area of upstream HUC12s was determined as part of flow routing analysis of HUC12s in the NHDPlus2 WBD Snapshot, EnviroAtlas Version, using the NHDPlus2 flow network. Created by EPA EnviroAtlas in Fall 2015. See also NHDPlus2 and WBD Snapshot, EnviroAtlas version glossary definitions.","Based on analysis of HUC12 flow routing by EPA EnviroAtlas in fall 2015 using NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version) and NHDPlus2 flow routing tables"]
[17,"Base","Base Indicators","Upstream HUC12 Area, Including This HUC12","UP_HUC12_AREA_INCL","Area of HUC12s upstream of, and draining to, the HUC12 (square kilometers). This area includes the HUC12 for which this indicator is calculated. The area of upstream HUC12s was determined as part of flow routing analysis of HUC12s in the NHDPlus2 WBD Snapshot, EnviroAtlas Version, using the NHDPlus2 flow network. Created by EPA EnviroAtlas in Fall 2015. See also NHDPlus2 and WBD Snapshot, EnviroAtlas version glossary definitions.","Based on analysis of HUC12 flow routing by EPA EnviroAtlas in fall 2015 using NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version) and NHDPlus2 flow routing tables"]
[18,"Base","Base Indicators","NHDPlus2 Catchment COMID at HUC12 Outlet","OUTLET_COMID_HUC12","The common identifier (COMID) for the NHDPlus2 catchment located at the downstream outlet of the HUC12. Catchments are incremental drainage areas for surface water features in the NHDPlus2. The outlet COMID was identified as part of flow routing analysis of HUC12s in the NHDPlus2 WBD Snapshot, EnviroAtlas Version, using the NHDPlus2 flow network. Created by EPA EnviroAtlas in Fall 2015. See also NHDPlus2 and WBD Snapshot, EnviroAtlas version glossary definitions.","Based on analysis of HUC12 flow routing by EPA EnviroAtlas in fall 2015 using NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version) and NHDPlus2 flow routing tables"]
[19,"Base","Base Indicators","Flow Accumulation, Mean in HUC12","FLOW_ACCUMULATION_MEAN_HUC12","The mean value of flow accumulation in the HUC12 (units are number of upstream grid pixels). Flow accumulation is a topographic measure of the upstream drainage area of a location. Source data used were NHDPlus2 Flow Accumulation grids (30-meter resolution; downloaded October, 2012). See also NHDPlus2 definition in glossary).","NHDPlus2 Flow Accumulation grids (downloaded October 2012)"]
[20,"Base","Base Indicators","NHDPlus2 Streamlength in HUC12","STREAMLENGTH_NHD_MEDRES_HUC12","Length of NHDPlus2 stream features in the HUC12 (kilometers). Source data was the NHDPlus2 NHD Snapshot. A pre-processing step was applied to the NHD Snapshot before calculating streamlength to remove linear water features that represented coastlines, pipelines, and lake/reservoir centerlines. Features in the NHD Snapshot used for streamlength calculations only include linear features with FTYPE (feature type) equal to StreamRiver, CanalDitch, or Connector. Linear features with FTYPE equal to ArtificialPath are only included if they pass through a NHDArea feature with FTYPE equal to StreamRiver. See also NHD Snapshot glossary definitions.","NHDPlus2 National Hydrography Dataset (NHD) Snapshot (downloaded March 2014)"]
[21,"Base","Base Indicators","NHDPlus2 Waterbody Area in HUC12","WATERBODYAREA_NHD_MEDRES_HUC12","Area of NHDPlus2 waterbody features in the HUC12 (square kilometers). Source data was the NHDPlus2 NHD Snapshot. See also NHD Snapshot glossary definitions.","NHDPlus2 National Hydrography Dataset (NHD) Snapshot (downloaded March 2014)"]
[22,"Base","Base Indicators","NHD High Resolution Streamlength in HUC12","STREAMLENGTH_NHD_HIRES_HUC12","Length of High Resolution National Hydrography Database (NHD) stream features in the HUC12 (kilometers). Source data was the USGS High Resolution NHD (downloaded April 2016; ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Hydrography/NHD/State/HighResolution). The High Resolution NHD dataset was developed at the 1:24,000-scale or higher, which adds detail to the medium resolution 1:100,000-scale NHD. A pre-processing step was applied to the High Resolution NHD before calculating streamlength to remove linear water features that represented coastlines, pipelines, and lake/reservoir centerlines. Features in the High Resolution NHD used for streamlength calculations only include linear features with FTYPE (feature type) equal to StreamRiver, CanalDitch, or Connector. Linear features with FTYPE equal to ArtificialPath are only included if they pass through a NHDArea feature with FTYPE equal to StreamRiver.","USGS High Resolution National Hydrography Dataset (NHD; downloaded April 2016)"]
[23,"Base","Base Indicators","NHD High Resolution Waterbody Area in HUC12","WATERBODYBAREA_NHD_HIRES_HUC12","Area of High Resolution National Hydrography Database (NHD) waterbody features in the HUC12 (square kilometers). Source data was the USGS High Resolution NHD (downloaded April 2016; ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Hydrography/NHD/State/HighResolution). The High Resolution NHD dataset was developed at the 1:24,000-scale or higher, which adds detail to the medium resolution 1:100,000-scale NHD. ","USGS High Resolution National Hydrography Dataset (NHD; downloaded April 2016)"]
[24,"Base","Base Indicators","EPA Region","EPA_REGION","Identifies all EPA Regions that intersect the HUC12. Source data was a list of states in each EPA Region (http://www.epa.gov/aboutepa/visiting-regional-office) and the US Census Bureau 2013 TIGER state boundaries dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE; downloaded July 2013). Calculated by intersecting HUC12s with the state boundaries dataset and assigning EPA Regions based on states in the HUC12.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[25,"Base","Base Indicators","All States in HUC12","STATES_ALL","List of all states that the HUC12 intersects. Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013). Calculated by intersecting HUC12s with the state boundaries dataset.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[26,"Base","Base Indicators","State1 in HUC12","STATE_FIRST","Two-letter abbreviation for the first state that the HUC12 intersects (based on alphabetical order). Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013). Calculated by intersecting HUC12s with the state boundaries dataset.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[27,"Base","Base Indicators","State2 in HUC12","STATE_SECOND","Two-letter abbreviation for the second state that the HUC12 intersects (based on alphabetical order). Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013). Calculated by intersecting HUC12s with the state boundaries dataset.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[28,"Base","Base Indicators","State3 in HUC12","STATE_THIRD","Two-letter abbreviation for the third state that the HUC12 intersects (based on alphabetical order). Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013). Calculated by intersecting HUC12s with the state boundaries dataset.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[29,"Base","Base Indicators","State4 in HUC12","STATE_FOURTH","Two-letter abbreviation for the fourth state that the HUC12 intersects (based on alphabetical order). Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013). Calculated by intersecting HUC12s with the state boundaries dataset.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[30,"Base","Base Indicators","Single State in HUC12 Flag","SINGLE_STATE_FLAG_HUC12","Flag indicating whether the HUC12 is located entirely within a single state. A value of 1 means that the HUC12 is located in one state and a value of 0 means that the HUC12 crosses multiple states. Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013).","US Census Bureau TIGER state boundary polygons (2013 version)"]
[31,"Base","Base Indicators","Majority State in HUC12","STATE_MAJORITY","The majority state in the HUC12, defined as the state with the greatest area in the HUC12. Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013).","US Census Bureau TIGER state boundary polygons (2013 version)"]
[32,"Base","Base Indicators","All Counties in HUC12","COUNTY_ALL_HUC12","List of all counties that the HUC12 intersects. County names are followed by the two-letter state abbreviation that the county is located in. Source data was the US Census Bureau 2016 county boundary dataset http://www2.census.gov/geo/tiger/TIGER2016/COUNTY/; downloaded September 2016). Calculated by intersecting HUC12s with the county boundaries dataset.","US Census Bureau TIGER county boundary polygons (2016 version)"]
[33,"Base","Base Indicators","Majority County in HUC12","COUNTY_MAJORITY_HUC12","The majority county in the HUC12, defined as the county with the greatest area in the HUC12. The county name is followed by the two-letter state abbreviation that the county is located in. Source data was the US Census Bureau 2016 county boundary dataset http://www2.census.gov/geo/tiger/TIGER2016/COUNTY/; downloaded September 2016).","US Census Bureau TIGER county boundary polygons (2016 version)"]
[34,"Base","Base Indicators","All Level 3 EcoRegions in HUC12","ECOREGIONS_ALL","List of Level III Ecoregion codes for ecoregions that intersect the HUC12. Ecoregion codes are comma-separated in order of largest to smallest area in the HUC12. Source data was the Level III Ecoregions of the Conterminous United States geospatial dataset (April 2013 version; http://archive.epa.gov/wed/ecoregions/web/html/level_iii_iv-2.html). Calculated by intersecting HUC12 polygons with ecoregion polygons.","Level III Ecoregions of the Conterminous United States (April 16, 2013 version)"]
[35,"Base","Base Indicators","Majority Level 3 EcoRegion in HUC12","ECOREGIONS_FIRST","The Level III Ecoregion code with the largest area in the HUC12. Source data was the Level III Ecoregions of the Conterminous United States geospatial dataset (April 2013 version; http://archive.epa.gov/wed/ecoregions/web/html/level_iii_iv-2.html). Calculated by intersecting HUC12 polygons with ecoregion polygons and selecting the ecoregion with the largest area in the HUC12.","Level III Ecoregions of the Conterminous United States (April 16, 2013 version)"]
[36,"Base","Base Indicators","% Tribal Lands in HUC12","TRIBE_PCT_HUC12","Percent of the HUC12 within Tribal lands. Includes the following lands associated with Federally recognized tribal entities: American Indian Reservations, Off-Reservation Trust Lands, and Oklahoma Tribal Statistical Areas. Calculated from map layers of Federally recognized tribal lands published by EPA in November 2021 (American Indian Reservations, https://epa.maps.arcgis.com/home/item.html?id=55d179c543884240bee66bad89f0a674; American Indian Off-Reservation Trust Lands, https://epa.maps.arcgis.com/home/item.html?id=35fe98209dc44315909c8211f29bc7ed; and Oklahoma Tribal Statistical Areas, https://epa.maps.arcgis.com/home/item.html?id=a9908b900d4f4f1c91b5063a685a7858). Equation used: Tribal Area / HUC12 Area * 100","EPA map layers of Federally recognized tribal lands(American Indian Reservations, American Indian Off-Reservation Trust Lands, and Oklahoma Tribal Statistical Areas; November 2021 version)"]
[37,"Base","Base Indicators","Tribal Lands in HUC12 Flag","TRIBE_FLAG_HUC12","Flag indicating whether Tribal lands are located within the HUC12. A value of 1 means that the HUC12 contains Tribal lands. Includes the following lands associated with Federally recognized tribal entities: American Indian Reservations, Off-Reservation Trust Lands, Oklahoma Tribal Statistical Areas, and Virginia Federally Recognized Tribes. Calculated from map layers of Federally recognized tribal lands published by EPA in November 2021 (American Indian Reservations, https://epa.maps.arcgis.com/home/item.html?id=55d179c543884240bee66bad89f0a674; American Indian Off-Reservation Trust Lands, https://epa.maps.arcgis.com/home/item.html?id=35fe98209dc44315909c8211f29bc7ed; Oklahoma Tribal Statistical Areas, https://epa.maps.arcgis.com/home/item.html?id=a9908b900d4f4f1c91b5063a685a7858; and Other Federally Recognized Tribes, https://epa.maps.arcgis.com/home/item.html?id=a07a40fe6a444962a53e2e7dd0da56eb).","EPA map layers of Federally recognized tribal lands(American Indian Reservations, American Indian Off-Reservation Trust Lands, and Oklahoma Tribal Statistical Areas; November 2021 version)"]
[38,"Base","Base Indicators","Adjacent to Tribal HUC12 Flag","TRIBE_BUFR_HUC12","Flag indicating whether the HUC12 contains no Tribal land area but borders HUC12s that do contain Tribal lands. Includes the following lands associated with Federally recognized tribal entities: American Indian Reservations, Off-Reservation Trust Lands, Oklahoma Tribal Statistical Areas, and Virginia Federally Recognized Tribes. Calculated from map layers of Federally recognized tribal lands published by EPA in November 2021 (American Indian Reservations, https://epa.maps.arcgis.com/home/item.html?id=55d179c543884240bee66bad89f0a674; American Indian Off-Reservation Trust Lands, https://epa.maps.arcgis.com/home/item.html?id=35fe98209dc44315909c8211f29bc7ed; Oklahoma Tribal Statistical Areas, https://epa.maps.arcgis.com/home/item.html?id=a9908b900d4f4f1c91b5063a685a7858; and Other Federally Recognized Tribes, https://epa.maps.arcgis.com/home/item.html?id=a07a40fe6a444962a53e2e7dd0da56eb).","EPA map layers of Federally recognized tribal lands(American Indian Reservations, American Indian Off-Reservation Trust Lands, and Oklahoma Tribal Statistical Areas; November 2021 version)"]
[39,"Base","Base Indicators","Elevation, Mean Value in HUC12","ELEVATION_MEAN_HUC12","Mean elevation in the HUC12 (in feet). Source data was the NHDPlus2 National Elevation Dataset (NED) Snapshot. See also NED Snapshot glossary definition.","NHDPlus2 National Elevation Dataset (NED) Snapshot (downloaded October 2012)"]
[40,"Base","Base Indicators","Elevation, Minimum Value in HUC12","ELEVATION_MIN_HUC12","Minimum elevation in the HUC12 (in feet). Source data was the NHDPlus2 National Elevation Dataset (NED) Snapshot. See also NED Snapshot glossary definition.","NHDPlus2 National Elevation Dataset (NED) Snapshot (downloaded October 2012)"]
[41,"Base","Base Indicators","Elevation, Maximum Value in HUC12","ELEVATION_MAX_HUC12","Maximum elevation in the HUC12 (in feet). Source data was the NHDPlus2 National Elevation Dataset (NED) Snapshot. See also NED Snapshot glossary definition.","NHDPlus2 National Elevation Dataset (NED) Snapshot (downloaded October 2012)"]
[42,"Base","Base Indicators","Slope, Mean Value in HUC12","SLOPE_MEAN_HUC12","Mean slope in the HUC12 (in degrees). Source data was the NHDPlus2 National Elevation Dataset (NED) Snapshot. See also NED Snapshot glossary definition.","NHDPlus2 National Elevation Dataset (NED) Snapshot (downloaded October 2012)"]
[43,"Base","Base Indicators","Average Annual Temperature in HUC12 (1981-2010)","ATEMP_ANNUAL_HIST_HUC12","Average annual temperature in the HUC12 during 1971 through 2000 (degrees Celsius). Annual temperature is the average of daily highs across a calendar year. Calculated from results of 30 climate models applied to simulate conditions over historical and future time periods. Climate model data were summarized by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp) to produce a gridded dataset of average temperatures across the US during the historical period with 800 meter resolution. See also the Climate Projection Data glossary definition.","MACAv2-METDATA climate model data analyzed by US Geological Survey (USGS) for the National Climate Change Viewer (September 2021 version)"]
[44,"Base","Base Indicators","Average Summer Temperature in HUC12 (1981-2010)","ATEMP_SUMMER_HIST_HUC12","Average summer temperature in the HUC12 during 1971 through 2000 (degrees Celsius). Summer temperature is the average of daily highs across May through October. Calculated from results of 30 climate models applied to simulate conditions over historical and future time periods. Climate model data were summarized by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp) to produce a gridded dataset of average summer temperatures across the US during the historical period with 800 meter resolution. See also the Climate Projection Data glossary definition.","MACAv2-METDATA climate model data analyzed by US Geological Survey (USGS) for the National Climate Change Viewer (September 2021 version)"]
[45,"Base","Base Indicators","Average Annual Precipitation in HUC12 (1981-2010)","PRECIP_ANNUAL_HIST_HUC12","Average annual precipitation in the HUC12 during 1971 through 2000 (millimeters per year). Calculated from results of 30 climate models applied to simulate conditions over historical and future time periods. Climate model data were summarized by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp) to produce a gridded dataset of average precipitation across the US during the historical period with 800 meter resolution. See also the Climate Projection Data glossary definition.","MACAv2-METDATA climate model data analyzed by US Geological Survey (USGS) for the National Climate Change Viewer (September 2021 version)"]
[46,"Base","Base Indicators","Average Summer Precipitation in HUC12 (1981-2010)","PRECIP_SUMMER_HIST_HUC12","Average summer precipitation in the HUC12 during 1971 through 2000 (millimeters per year). Summer is defined as May - October. Calculated from results of 30 climate models applied to simulate conditions over historical and future time periods. Climate model data were summarized by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp) to produce a gridded dataset of average summer precipitation across the US during the historical period with 800 meter resolution. See also the Climate Projection Data glossary definition.","MACAv2-METDATA climate model data analyzed by US Geological Survey (USGS) for the National Climate Change Viewer (September 2021 version)"]
[47,"Base","Base Indicators","Average Annual Surface Runoff in HUC12 (1981-2010)","RUNOFF_ANNUAL_HIST_HUC12","Average annual surface runoff during 1971 through 2000 in the HUC12 (millimeters per year). Calculated from water balance models that simulate the hydrologic response to 30 climate models over historical and future time periods. The water balance model simulates the combined effects of precipitation and temperature independent of land use and vegetation cover. Water balance modeling was completed by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp) to produce a gridded dataset of average surface runoff across the US during the historical period with 800 meter resolution. See also the Hydrology Projection Data glossary definition.","Water-balance model results from the US Geological Survey (USGS) developed for the USGS National Climate Change Viewer (September 2021 version)"]
[48,"Base","Base Indicators","Average Spring Surface Runoff in HUC12 (1981-2010)","RUNOFF_SPRING_HIST_HUC12","Average spring surface runoff during 1971 through 2000 in the HUC12 (millimeters per season). Spring is defined as March - May. Calculated from water balance models that simulate the hydrologic response to 30 climate models over historical and future time periods. The water balance model simulates the combined effects of precipitation and temperature independent of land use and vegetation cover. Water balance modeling was completed by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp) to produce a gridded dataset of average spring surface runoff across the US during the historical period with 800 meter resolution. See also the Hydrology Projection Data glossary definition.","Water-balance model results from the US Geological Survey (USGS) developed for the USGS National Climate Change Viewer (September 2021 version)"]
[49,"Base","Base Indicators","Average March Snow Water Equivalence in HUC12 (1981-2010)","SNOW_EQ_MARCH_HIST_HUC12","Average March snow water equivalence (SWE) during 1971 through 2000 in the HUC12 (millimeters per year). SWE is a measurement of the amount of liquid water contained within the snowpack. Calculated from water balance models that simulate the hydrologic response to 30 climate models over historical and future time periods. The water balance model simulates the combined effects of precipitation and temperature independent of land use and vegetation cover. Water balance modeling was completed by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp) to produce a gridded dataset of average surface runoff across the US during the historical period with 800 meter resolution. See also the Hydrology Projection Data glossary definition.","Water-balance model results from the US Geological Survey (USGS) developed for the USGS National Climate Change Viewer (September 2021 version)"]
[50,"Base","Base Indicators","Average Annual Evaporative Deficit in HUC12 (1981-2010)","EVAP_DEF_ANNUAL_HIST_HUC12","Average annual evaporative deficit during 1971 through 2000 in the HUC12 (millimeters per year). Evaporative deficit is a measure of atmospheric water shortage and is defined as the difference between potential evapotranspiration and actual evapotranspiration. Higher values correspond to drier conditions. Calculated from water balance models that simulate the hydrologic response to 30 climate models over historical and future time periods. Water balance modeling was completed by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp) to produce a gridded dataset of average evaporative deficit across the US during the historical period with 800 meter resolution. See also the Hydrology Projection Data glossary definition.","MACAv2-METDATA climate model data analyzed by US Geological Survey (USGS) for the National Climate Change Viewer (September 2021 version)"]
[51,"Ecological","Forest Cover","% Forest in HUC12","FOREST_PCT_HUC12","Percent of the HUC12 classified as forest cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Forest cover classes include 'Deciduous Forest' (code 41), 'Evergreen Forest' (code 42), and 'Mixed Forest' (code 43) in the NLCD 2019 Land Cover dataset. Calculated as Forest area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[52,"Ecological","Forest Cover","% Deciduous Forest in HUC12","FOREST_DECIDUOUS_PCT_HUC12","Percent of the HUC12 classified as 'Deciduous Forest' (code 41) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Deciduous Forest' area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[53,"Ecological","Forest Cover","% Evergreen Forest in HUC12","FOREST_EVERGRN_PCT_HUC12","Percent of the HUC12 classified as 'Evergreen Forest' (code 42) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Evergreen Forest' area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[54,"Ecological","Forest Cover","% Mixed Forest in HUC12","FOREST_MIXED_PCT_HUC12","Percent of the HUC12 classified as 'Mixed Forest' (code 43) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). The Mixed Forest cover class describes forested areas with a combination of deciduous and evergreen tree species. Calculated as 'Mixed Forest' area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[55,"Ecological","Forest Cover","% Forest in Hydro-Connected Zone in HUC12","FOREST_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as forest cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Forest cover classes include 'Deciduous Forest' (code 41), 'Evergreen Forest' (code 42), and 'Mixed Forest' (code 43) in the NLCD 2019 Land Cover dataset. Calculated as forest area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[56,"Ecological","Forest Cover","% Deciduous Forest in Hydro-Connected Zone in HUC12","FOREST_DECIDUOUS_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Deciduous Forest' (code 41) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Deciduous Forest' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[57,"Ecological","Forest Cover","% Evergreen Forest in Hydro-Connected Zone in HUC12","FOREST_EVERGRN_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Evergreen Forest' (code 42) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Evergreen Forest' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[58,"Ecological","Forest Cover","% Mixed Forest in Hydro-Connected Zone in HUC12","FOREST_MIXED_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Mixed Forest' (code 43) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). The Mixed Forest cover class describes forested areas with a combination of deciduous and evergreen tree species. Calculated as 'Mixed Forest' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[59,"Ecological","Forest Cover","% Forest in Riparian Zone in HUC12","FOREST_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as forest cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Forest cover classes include 'Deciduous Forest' (code 41), 'Evergreen Forest' (code 42), and 'Mixed Forest' (code 43) in the NLCD 2019 Land Cover dataset. Calculated as forest area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[60,"Ecological","Forest Cover","% Deciduous Forest in Riparian Zone in HUC12","FOREST_DECIDUOUS_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Deciduous Forest' (code 41) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Deciduous Forest' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[61,"Ecological","Forest Cover","% Evergreen Forest in Riparian Zone in HUC12","FOREST_EVERGRN_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Evergreen Forest' (code 42) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Evergreen Forest' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[62,"Ecological","Forest Cover","% Mixed Forest in Riparian Zone in HUC12","FOREST_MIXED_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Mixed Forest' (code 43) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). The Mixed Forest cover class describes forested areas with a combination of deciduous and evergreen tree species. Calculated as 'Mixed Forest' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[63,"Ecological","Forest Cover","% Forest Change in HUC12 (2001-19)","FOREST_CHG_PCT_HUC12","Change in the percentage of the HUC12 with forest cover from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Forest cover classes include 'Deciduous Forest', 'Evergreen Forest', and 'Mixed Forest'; codes 41, 42, and 43 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in forest; negative values denote a decrease in forest. Equation used: (2019 Forest Area in HUC12 - 2001 Forest Area in HUC12)/HUC12 Area * 100.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version)"]
[64,"Ecological","Forest Cover","% Forest Change in Hydro-Connected Zone in HUC12 (2001-19)","FOREST_CHG_HCZ_PCT_HUC12","Change in the percentage of the HUC12 with forest cover in the Hydrologically Connected Zone (HCZ) from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Forest cover classes include 'Deciduous Forest', 'Evergreen Forest', and 'Mixed Forest' cover classes; codes 41, 42, and 43 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in forest; negative values denote a decrease in forest. Equation used: (2019 Forest Area in the HCZ - 2001 Forest Area in the HCZ)/HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Hydrologically Connected Zone (June 2022 version)"]
[65,"Ecological","Forest Cover","% Forest Change in Riparian Zone in HUC12 (2001-19)","FOREST_CHG_RZ_PCT_HUC12","Change in the percentage of the HUC12 with forest cover in the Riparian Zone (RZ) from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Forest cover classes include 'Deciduous Forest', 'Evergreen Forest', and 'Mixed Forest'; codes 41, 42, and 43 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in forest; negative values denote a decrease in forest. Equation used: (2019 Forest Area in the RZ - 2001 Forest Area in the RZ)/HUC12 Area * 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); RZ Grid (June 2022 Version)"]
[66,"Ecological","Forest Cover","% Forest Remaining in HUC12","FOREST_REMAINING_PCT_HUC12","Percent of forest cover remaining relative to pre-development forest cover in the HUC12. Source data were the Existing Vegetation Type (EVT) geospatial grid dataset (March 2013 version) and the Biophysical Settings (BPS) geospatial grid dataset (January 2010 version) from the Landscape Fire and Resource Management Planning Tools (LANDFIRE) program (http://www.landfire.gov/viewer/). The EVT grid classifies existing vegetative cover across the US at 30-meter resolution. The BPS grid classifies vegetative cover that may have been dominant before Euro-American settlement across the at 30-meter resolution. Vegetation classes in the EVT grid were generalized to 'Forest' or 'Non-Forest' based on descriptive attributes to calculate the area of remaining forest cover in the HUC12. Vegetation classes in the BPS grid were generalized to 'Forest' or 'Non-Forest' based on descriptive attributes to calculate the area of pre-development forest cover in the HUC12. Equation used: Existing Forest Area in HUC12 / Pre-Development Forest Area in HUC12 * 100. Only calculated for HUC12s with pre-development forest area greater than or equal to 5% of HUC12 area.","LANDFIRE Biophysical Settings (January 16, 2014 version) and LANDFIRE Existing Vegetation Type (April 23, 2015 version) geospatial datasets"]
[67,"Ecological","Wetlands Cover","% Wetlands in HUC12","WETLANDS_PCT_HUC12","Percent of the HUC12 classified as wetland cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Wetland cover classes include 'Woody Wetlands' (code 90), and 'Emergent Herbaceous Wetlands' (code 95) in the NLCD 2019 Land Cover dataset. Calculated as wetland area divided by HUC12 area, multiplied by 100.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[68,"Ecological","Wetlands Cover","% Wetlands in Hydro-Connected Zone in HUC12","WETLANDS_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as wetland cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Wetland cover classes include 'Woody Wetlands' (code 90), and 'Emergent Herbaceous Wetlands' (code 95) in the NLCD 2019 Land Cover dataset. Calculated as wetland area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[69,"Ecological","Wetlands Cover","% Wetlands in Riparian Zone in HUC12","WETLANDS_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as wetland cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Wetland cover classes include 'Woody Wetlands' (code 90), and 'Emergent Herbaceous Wetlands' (code 95) in the NLCD 2019 Land Cover dataset. Calculated as wetland area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[70,"Ecological","Wetlands Cover","% Wetlands Change in HUC12 (2001-19)","WETLANDS_CHG_PCT_HUC12","Change in the percentage of the HUC12 with wetland cover from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Wetlands cover classes include 'Woody Wetlands' and 'Emergent Herbaceous Wetlands'; codes 90 and 95 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in wetlands; negative values denote a decrease in wetlands. Equation used: (2019 Wetland Area in HUC12 - 2001 Wetland Area in HUC12)/HUC12 Area * 100. ","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version)"]
[71,"Ecological","Wetlands Cover","% Wetlands Change in Hydro-Connected Zone in HUC12 (2001-19)","WETLANDS_CHG_HCZ_PCT_HUC12","Change in the percentage of the HUC12 with wetland cover in the Hydrologically Connected Zone (HCZ) from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Wetland cover classes include 'Woody Wetlands' and 'Emergent Herbaceous Wetlands'; codes 90 and 95 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in wetlands; negative values denote a decrease in wetlands. Equation used: (2019 Wetland Area in HCZ - 2001 Wetland Area in HCZ)/HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Hydrologically Connected Zone (June 2022 version)"]
[72,"Ecological","Wetlands Cover","% Wetlands Change in Riparian Zone in HUC12 (2001-19)","WETLANDS_CHG_RZ_PCT_HUC12","Change in the percentage of the HUC12 with wetland cover in the Riparian Zone (RZ) from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Wetlands cover classes include 'Woody Wetlands' and 'Emergent Herbaceous Wetlands'; codes 90 and 95 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in wetlands; negative values denote a decrease in wetlands. Equation used: (2019 Wetland Area in RZ - 2001 Wetland Area in RZ)/HUC12 Area * 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[73,"Ecological","Wetlands Cover","% Emergent Herbaceous Wetlands in HUC12","WETLANDS_HERB_PCT_HUC12","Percent of the HUC12 classified as 'Emergent Herbaceous Wetlands' (code 95) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Emergent Herbaceous Wetlands' area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[74,"Ecological","Wetlands Cover","% Emergent Herbaceous Wetlands in Hydro-Connected Zone in HUC12","WETLANDS_HERB_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Emergent Herbaceous Wetlands' (code 95) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Emergent Herbaceous Wetlands' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[75,"Ecological","Wetlands Cover","% Emergent Herbaceous Wetlands in Riparian Zone in HUC12","WETLANDS_HERB_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Emergent Herbaceous Wetlands' (code 95) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Emergent Herbaceous Wetlands' area in the Riparian Zone divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[76,"Ecological","Wetlands Cover","% Woody Wetlands in HUC12","WETLANDS_WOODY_PCT_HUC12","Percent of the HUC12 classified as 'Woody Wetlands' (code 90) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Woody Wetlands' area divided by HUC12 area, multiplied by 100.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[77,"Ecological","Wetlands Cover","% Woody Wetlands in Hydro-Connected Zone in HUC12","WETLANDS_WOODY_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Woody Wetlands' (code 90) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Woody Wetlands' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[78,"Ecological","Wetlands Cover","% Woody Wetlands in Riparian Zone in HUC12","WETLANDS_WOODY_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Woody Wetlands' (code 90) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Woody Wetlands' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[79,"Ecological","Wetlands Cover","% Wetlands Remaining in HUC12","WETLANDS_REMAINING_PCT_HUC12","Percent of wetland cover remaining relative to pre-development wetland cover in the HUC12. Source data were the Existing Vegetation Type (EVT) geospatial grid dataset (March 2013 version) and the Environmental Site Potential (ESP) geospatial grid dataset (January 2010 version) from the Landscape Fire and Resource Management Planning Tools (LANDFIRE) program (http://www.landfire.gov/viewer/). The EVT grid classifies existing vegetative cover across the US at 30-meter resolution. The ESP grid classifies the climax vegetative cover that could be supported at a given site in the absence of human development at 30-meter resolution. Vegetation classes in the EVT grid were generalized to 'Wetland' or 'Non-Wetland' based on descriptive attributes to calculate the area of remaining wetland cover in the HUC12. Vegetation classes in the ESP grid were generalized to 'Wetland' or 'Non-Wetland' based on descriptive attributes to calculate the area of pre-development wetland cover in the HUC12. Equation used: Existing Wetland Area in HUC12 / Pre-Development Wetland Area in HUC12 * 100. Only calculated for HUC12s with pre-development wetland area greater than or equal to 1% of HUC12 area.","LANDFIRE Environmental Site Potential (December 19, 2013 version) and LANDFIRE Existing Vegetation Type (April 23, 2015 version) geospatial datasets"]
[80,"Ecological","Woody Vegetation Cover","% Woody Vegetation in HUC12","WOODY_VEG_PCT_HUC12","Percent of the HUC12 classified as woody vegetation cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Woody vegetation cover classes include 'Deciduous Forest' (code 41), 'Evergreen Forest' (code 42), 'Mixed Forest' (code 43), 'Shrub/Scrub' (code 52), and 'Woody Wetlands' (code 90) in the NLCD 2019 Land Cover dataset. Calculated as woody vegetation area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[81,"Ecological","Woody Vegetation Cover","% Woody Vegetation in Hydro-Connected Zone in HUC12","WOODY_VEG_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as woody vegetation cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Woody vegetation cover classes include 'Deciduous Forest' (code 41), 'Evergreen Forest' (code 42), 'Mixed Forest' (code 43), 'Shrub/Scrub' (code 52), and 'Woody Wetlands' (code 90) in the NLCD 2019 Land Cover dataset. Calculated as woody vegetation area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[82,"Ecological","Woody Vegetation Cover","% Woody Vegetation in Riparian Zone in HUC12","WOODY_VEG_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as woody vegetation cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Woody vegetation cover classes include 'Deciduous Forest' (code 41), 'Evergreen Forest' (code 42), 'Mixed Forest' (code 43), 'Shrub/Scrub' (code 52), and 'Woody Wetlands' (code 90) in the NLCD 2019 Land Cover dataset. Calculated as woody vegetation area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[83,"Ecological","Woody Vegetation Cover","% Woody Vegetation Change in HUC12 (2001-19)","WOODY_VEG_CHG_PCT_HUC12","Change in the percentage of the HUC12 with woody vegetation cover from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Woody vegetation cover classes include 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', and 'Woody Wetlands'; codes 41, 42, 43, 52, and 90 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in woody vegetation; negative values denote a decrease in woody vegetation. Equation used: (2019 Woody Vegetation Area in HUC12 - 2001 Woody Vegetation Area in HUC12)/HUC12 Area * 100.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version)"]
[84,"Ecological","Woody Vegetation Cover","% Woody Vegetation Change in Hydro-Connected Zone in HUC12 (2001-19)","WOODY_VEG_CHG_HCZ_PCT_HUC12","Change in the percentage of the HUC12 with woody vegetation cover in the Hydrologically Connected Zone (HCZ) from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Woody vegetation cover classes include 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', and 'Woody Wetlands'; codes 41, 42, 43, 52, and 90 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in woody vegetation; negative values denote a decrease in woody vegetation. Equation used: (2019 Woody Vegetation Area in HCZ - 2001 Woody Vegetation Area in HCZ)/HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Hydrologically Connected Zone (June 2022 version)"]
[85,"Ecological","Woody Vegetation Cover","% Woody Vegetation Change in Riparian Zone in HUC12 (2001-19)","WOODY_VEG_CHG_RZ_PCT_HUC12","Change in the percentage of the HUC12 with woody vegetation cover in the Riparian Zone (RZ) from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Woody vegetation cover classes include 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', and 'Woody Wetlands'; codes 41, 42, 43, 52, and 90 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in woody vegetation; negative values denote a decrease in woody vegetation. Equation used: (2019 Woody Vegetation Area in RZ - 2001 Woody Vegetation Area in RZ)/HUC12 Area * 100. See also Riparian Zone glossary definition. ","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[86,"Ecological","Other Natural Cover Types","% Shrub/Scrub in HUC12","SHRUB_PCT_HUC12","Percent of the HUC12 classified as 'Shrub/Scrub' (code 52) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Shrub/Scrub' area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[87,"Ecological","Other Natural Cover Types","% Shrub/Scrub in Hydro-Connected Zone in HUC12","SHRUB_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Shrub/Scrub' (code 52) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Shrub/Scrub' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[88,"Ecological","Other Natural Cover Types","% Shrub/Scrub in Riparian Zone in HUC12","SHRUB_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Shrub/Scrub' (code 52) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Shrub/Scrub' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[89,"Ecological","Other Natural Cover Types","% Grassland/Herbaceous in HUC12","GRASSLAND_PCT_HUC12","Percent of the HUC12 classified as 'Grassland/Herbaceous' (code 71) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Grassland/Herbaceous' area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[90,"Ecological","Other Natural Cover Types","% Grassland/Herbaceous in Hydro-Connected Zone in HUC12","GRASSLAND_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Grassland/Herbaceous' (code 71) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Grassland/Herbaceous' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[91,"Ecological","Other Natural Cover Types","% Grassland/Herbaceous in Riparian Zone in HUC12","GRASSLAND_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Grassland/Herbaceous' (code 71) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Grassland/Herbaceous' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[92,"Ecological","Other Natural Cover Types","% Open Water in HUC12","OPENWATER_PCT_HUC12","Percent of the HUC12 classified as 'Open Water' (code 11) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Open Water' area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[93,"Ecological","Other Natural Cover Types","% Open Water in Hydro-Connected Zone in HUC12","OPENWATER_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Open Water' (code 11) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Open Water' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[94,"Ecological","Other Natural Cover Types","% Open Water in Riparian Zone in HUC12","OPENWATER_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Open Water' (code 11) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Open Water' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[95,"Ecological","Other Natural Cover Types","% Perennial Ice/Snow in HUC12","SNOW_PCT_HUC12","Percent of the HUC12 classified as 'Perennial Ice/Snow' (code 12) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Perennial Ice/Snow' area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[96,"Ecological","Other Natural Cover Types","% Perennial Ice/Snow in Hydro-Connected Zone in HUC12","SNOW_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Perennial Ice/Snow' (code 12) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Perennial Ice/Snow' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[97,"Ecological","Other Natural Cover Types","% Perennial Ice/Snow in Riparian Zone in HUC12","SNOW_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Perennial Ice/Snow' (code 12) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Perennial Ice/Snow' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[98,"Ecological","Other Natural Cover Types","% Barren Land in HUC12","BARREN_PCT_HUC12","Percent of the HUC12 classified as 'Barren Land (Rock/Sand/Clay)' (code 31) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Barren Land (Rock/Sand/Clay)' area divided by HUC12 area, multiplied by 100.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[99,"Ecological","Other Natural Cover Types","% Barren Land in Hydro-Connected Zone in HUC12","BARREN_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Barren Land (Rock/Sand/Clay)' (code 31) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Barren Land (Rock/Sand/Clay)' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[100,"Ecological","Other Natural Cover Types","% Barren Land in Riparian Zone in HUC12","BARREN_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Barren Land (Rock/Sand/Clay)' (code 31) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Barren Land (Rock/Sand/Clay)' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[101,"Ecological","Natural Land Cover (All Types)","% N-Index1 in HUC12","N_INDEX_PCT_HUC12","Percent of the HUC12 classified as natural land cover (including barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Natural land cover classes in the N-Index1 include barren, forest, wetlands, shrubland, and grassland; codes 31, 41 through 43, 52, 71, 90, and 95 in the NLCD 2019 Land Cover dataset. Equation used: N-Index1 Area / HUC12 Area * 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[102,"Ecological","Natural Land Cover (All Types)","% N-Index1 in Hydro-Connected Zone in HUC12","N_INDEX_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone (HCZ) and classified as natural land cover (including barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Natural land cover classes in the N-Index1 include barren, forest, wetlands, shrubland, and grassland; codes 31, 41 through 43, 52, 71, 90, and 95 in the NLCD 2019 Land Cover dataset. Equation used: Area of N-Index1 in HCZ / HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[103,"Ecological","Natural Land Cover (All Types)","% N-Index1 in Riparian Zone in HUC12","N_INDEX_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone (RZ) and classified as natural land cover (including barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Natural land cover classes in the N-Index1 include barren, forest, wetlands, shrubland, and grassland; codes 31, 41 through 43, 52, 71, 90, and 95 in the NLCD 2019 Land Cover dataset. Equation used: Area of N-Index1 in RZ / HUC12 Area * 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[104,"Ecological","Natural Land Cover (All Types)","% N-Index1 in Hydro-Active Zone in HUC12","N_INDEX_HAZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Active Zone (HAZ) and classified as natural land cover (including barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Natural land cover classes in the N-Index1 include barren, forest, wetlands, shrubland, and grassland; codes 31, 41 through 43, 52, 71, 90, and 95 in the NLCD 2019 Land Cover dataset. Equation used: N-Index1 Area in HAZ / HUC12 Area * 100. See also Hydrologically Active Zone glossary definition.","National Land Cover Database 2019 (NLCD 2019; June 4, 2021 version); HAZ Grid (June 2022 Version)"]
[105,"Ecological","Natural Land Cover (All Types)","% N-Index1 Change in HUC12 (2001-19)","N_INDEX_CHG_PCT_HUC12","Change in the percentage of the HUC12 with natural cover (including barren land) from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Natural cover classes included in the N-Index1 are 'Barren Land (Rock/Sand/Clay)', 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 31, 41, 42, 43, 52, 71, 90, and 95 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in N-Index1; negative values denote a decrease in N-Index1. Equation used: (2019 N-Index1 Area in HUC12 - 2001 N-Index1 Area in HUC12)/HUC12 Area * 100. ","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version)"]
[106,"Ecological","Natural Land Cover (All Types)","% N-Index1 Change in Hydro-Connected Zone in HUC12 (2001-19)","N_INDEX_CHG_HCZ_PCT_HUC12","Change in the percentage of the HUC12 with natural cover (including barren land) in the Hydrologically Connected Zone (HCZ) from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Natural cover classes included in the N-Index1 are 'Barren Land (Rock/Sand/Clay)', 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 31, 41, 42, 43, 52, 71, 90, and 95 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in N-Index1; negative values denote a decrease in N-Index1. Equation used: (2019 N-Index1 Area in HCZ - 2001 N-Index1 Area in HCZ)/HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Hydrologically Connected Zone (June 2022 version)"]
[107,"Ecological","Natural Land Cover (All Types)","% N-Index1 Change in Riparian Zone in HUC12 (2001-19)","N_INDEX_CHG_RZ_PCT_HUC12","Change in the percentage of the HUC12 with natural land cover (including barren land) in the Riparian Zone (RZ) from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Natural cover classes included in the N-Index1 are 'Barren Land (Rock/Sand/Clay)', 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 31, 41, 42, 43, 52, 71, 90, and 95 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in N-Index1; negative values denote a decrease in N-Index1. Equation used: (2019 N-Index1 Area in RZ - 2001 N-Index1 Area in RZ)/HUC12 Area * 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[108,"Ecological","Natural Land Cover (All Types)","% N-Index1 Contiguous to Water in HUC12","N_INDEX_CONTIG_WATR_PCT_HUC12","Percent of the HUC12 that is classified as natural land cover (including barren land) and contiguous to surface water. This indicator does not count areas with natural land cover that are buffered from surface water by other land use types. Calculated from the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus) and the Water Mask map layer (June 2022 version). Natural cover classes included in the N-Index1 are 'Barren Land (Rock/Sand/Clay)', 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 31, 41, 42, 43, 52, 71, 90, and 95 in the NLCD 2019 Land Cover dataset. Equation used: N-Index1 Contiguous to Water Area / HUC12 Area * 100. See also Water Mask glossary definition.","National Land Cover Database 2019 (NLCD 2019; June 4, 2021 version); Water Mask (June 2022 version)"]
[109,"Ecological","Natural Land Cover (All Types)","% N-Index2 in HUC12","N_INDEX2_PCT_HUC12","Percent of the HUC12 classified as natural land cover (excluding barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Natural land cover classes in the N-Index2 include forest, wetlands, shrubland, and grassland; codes 41 through 43, 52, 71, 90, and 95 in the NLCD 2019 Land Cover dataset. Equation used: N-Index2 Area / HUC12 Area * 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[110,"Ecological","Natural Land Cover (All Types)","% N-Index2 in Hydro-Connected Zone in HUC12","N_INDEX2_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone (HCZ) and classified as natural land cover (excluding barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Natural land cover classes in the N-Index2 include forest, wetlands, shrubland, and grassland; codes 41 through 43, 52, 71, 90, and 95 in the NLCD 2019 Land Cover dataset. Equation used: Area of N-Index2 in HCZ / HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[111,"Ecological","Natural Land Cover (All Types)","% N-Index2 in Riparian Zone in HUC12","N_INDEX2_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone (RZ) and classified as natural land cover (excluding barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Natural land cover classes in the N-Index2 include forest, wetlands, shrubland, and grassland; codes 41 through 43, 52, 71, 90, and 95 in the NLCD 2019 Land Cover dataset. Equation used: Area of N-Index2 in RZ / HUC12 Area * 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[112,"Ecological","Natural Land Cover (All Types)","% N-Index2 in Hydro-Active Zone in HUC12","N_INDEX2_HAZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Active Zone (HAZ) and classified as natural land cover (excluding barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Natural land cover classes in the N-Index2 include forest, wetlands, shrubland, and grassland; codes 41 through 43, 52, 71, 90, and 95 in the NLCD 2019 Land Cover dataset. Equation used: N-Index2 Area in HAZ / HUC12 Area * 100. See also Hydrologically Active Zone glossary definition.","National Land Cover Database 2019 (NLCD 2019; June 4, 2021 version); HAZ Grid (June 2022 Version)"]
[113,"Ecological","Natural Land Cover (All Types)","% N-Index2 Change in HUC12 (2001-19)","N_INDEX2_CHG_PCT_HUC12","Change in the percentage of the HUC12 with natural cover (excluding barren land) from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Natural cover classes included in the N-Index2 are 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 41, 42, 43, 52, 71, 90, and 95 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in N-Index2; negative values denote a decrease in N-Index2. Equation used: (2019 N-Index2 Area in HUC12 - 2001 N-Index2 Area in HUC12)/HUC12 Area * 100.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version)"]
[114,"Ecological","Natural Land Cover (All Types)","% N-Index2 Change in Hydro-Connected Zone in HUC12 (2001-19)","N_INDEX2_CHG_HCZ_PCT_HUC12","Change in the percentage of the HUC12 with natural cover (excluding barren land) in the Hydrologically Connected Zone (HCZ) from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Natural cover classes included in the N-Index2 are 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 41, 42, 43, 52, 71, 90, and 95 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in N-Index2; negative values denote a decrease in N-Index2. Equation used: (2019 N-Index2 Area in HCZ - 2001 N-Index2 Area in HCZ)/HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Hydrologically Connected Zone (June 2022 version)"]
[115,"Ecological","Natural Land Cover (All Types)","% N-Index2 Change in Riparian Zone in HUC12 (2001-19)","N_INDEX2_CHG_RZ_PCT_HUC12","Change in the percentage of the HUC12 with natural land cover (excluding barren land) in the Riparian Zone (RZ) from 2001 to 2019. Calculated from the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Natural cover classes included in the N-Index2 are 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 41, 42, 43, 52, 71, 90, and 95 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in N-Index2; negative values denote a decrease in N-Index2. Equation used: (2019 N-Index2 Area in RZ - 2001 N-Index2 Area in RZ)/HUC12 Area * 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[116,"Ecological","Natural Land Cover (All Types)","% N-Index2 Contiguous to Water in HUC12","N_INDEX2_CONTIG_WATR_PCT_HUC12","Percent of the HUC12 that is classified as natural land cover (excluding barren land) and contiguous to surface water. This indicator does not count areas with natural land cover that are buffered from surface water by other land use types. Calculated from the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus) and the Water Mask map layer (June 2022 version). Natural cover classes included in the N-Index2 are 'Deciduous Forest', 'Evergreen Forest', 'Mixed Forest', 'Shrub/Scrub', 'Grassland/Herbaceous', 'Woody Wetlands', and 'Herbaceous Wetlands' cover classes; codes 41, 42, 43, 52, 71, 90, and 95 in the NLCD 2019 Land Cover dataset. Equation used: N-Index2 Contiguous to Water Area / HUC12 Area * 100. See also Water Mask glossary definition.","National Land Cover Database 2019 (NLCD 2019; June 4, 2021 version); Water Mask (June 2022 version)"]
[117,"Ecological","Other Natural Cover Types","% Streamlength Near <5% Impervious Cover in HUC12","IMP_COV_STREAMLGTH_05PCT_HUC12","Percent of streamlength in the HUC12 that is adjacent to areas with less than 5% impervious surface cover. Higher values correspond to greater prevalence of streams with undeveloped corridors. Impervious surface cover was determined from the National Land Cover Database 2019 Percent Developed Imperviousness dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Stream locations were determined from the NHDPlus2 NHD Snapshot (downloaded June 2014). The NHD Snapshot is a map layer of surface water features across the nation, including streams, lakes, reservoirs, etc. Streams were identified as linear features in the NHD Snapshot with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Calculated as the length of streams within 30 meters of grid pixels with less than 5% impervious cover, divided by total streamlength in the HUC12, multiplied by 100. See also NHD Snapshot glossary definition.","National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness (June 4, 2021 version)"]
[118,"Ecological","Other Natural Cover Types","% Lakeshore Near <5% Impervious Cover in HUC12","IMP_COV_LAKESHORE_05PCT_HUC12","Percent of lakeshore length in the HUC12 that is adjacent to areas with less than 5% impervious surface cover. Higher values correspond to greater prevalence of lakes, ponds, or reservoirs with undeveloped shorelines. Impervious surface cover was determined from the National Land Cover Database 2019 Percent Developed Imperviousness dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Lakeshores were determined from the NHDPlus2 NHD Snapshot (downloaded June 2014). The NHD Snapshot is a map layer of surface water features across the nation, including streams, lakes, reservoirs, etc. Lakeshores were defined as the perimeter of polygon features in the NHD Snapshot with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the length of lakeshores within 30 meters of grid pixels with less than 5% impervious cover, divided by total lakeshore length in the HUC12, multiplied by 100. See also NHD Snapshot glossary definition.","National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness (June 4, 2021 version)"]
[119,"Ecological","Other Natural Cover Types","% Waters Near <5% Impervious Cover in HUC12","IMP_COV_ALLWATERS_05PCT_HUC12","Percent of stream and lakeshore length in the HUC12 that is adjacent to areas with less than 5% impervious cover. Higher values correspond to greater prevalence of waters with undeveloped corridors and shorelines. Impervious surface cover was determined from the National Land Cover Database 2019 Percent Developed Imperviousness dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Streams and lakeshores were determined from the NHDPlus2 NHD Snapshot (downloaded June 2014). The NHD Snapshot is a map layer of surface water features across the nation, including streams, lakes, reservoirs, etc. Streams were defined as linear features in the NHD Snapshot with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Lakeshores were defined as the perimeter of polygon features in the NHD Snapshot with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the length of streams and lakeshores within 30 meters of grid pixels with less than 5% impervious cover, divided by the total stream and lakeshore length in the HUC12, multiplied by 100. See also NHD Snapshot glossary definition.","National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness (June 4, 2021 version)"]
[120,"Ecological","Other Natural Cover Types","% Canopy Cover, Median Value in HUC12","CANOPYCOVER_PCT_MEDIAN_HUC12","Median value of percent tree canopy cover in the HUC12 from the NLCD 2016 USFS Tree Canopy cartographic dataset (downloaded February 2015). The NLCD 2016 USFS Tree Canopy cartographic dataset provides an estimate of the percent tree canopy cover (0 to 100%) for each 30 meter grid pixel in the US. Calculated as the median of percent tree canopy cover values in the HUC12.","National Land Cover Database (NLCD) 2016 Tree Canopy Cover (October 2019 version)"]
[121,"Ecological","Other Natural Cover Types","% Canopy Cover, Mean Value in HUC12","CANOPYCOVER_PCT_MEAN_HUC12","Percent of the HUC12 with tree canopy cover. Source data was the NLCD 2016 USFS Tree Canopy dataset (October 2014 version; http://www.mrlc.gov/nlcd11_data.php). Calculated as the mean of percent tree canopy cover values in the HUC12.","National Land Cover Database (NLCD) 2016 Tree Canopy Cover (October 2019 version)"]
[122,"Ecological","Topographic Complexity","Slope, Standard Deviation in HUC12","SLOPE_STDEV_HUC12","Standard deviation of slope in the HUC12 (in degrees). Source data was the NHDPlus2 National Elevation Dataset (NED) Snapshot. See also NED Snapshot glossary definition.","NHDPlus2 National Elevation Dataset (NED; downloaded October 2012)"]
[123,"Ecological","Soil Attributes","Soil Stability, Mean in HUC12","SOILSTABILITY_HUC12","Mean soil stability in the HUC12. Soil stability is the inverse of soil erodibility. Source data was a 100-meter resolution grid of soil map units and attributes in the Natural Resources Conservation Service (NRCS) Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey in July 2013. Mean soil erodibility was calculated as the average of erodibility grid values per HUC12. Mean soil stability was calculated as 1 - Mean soil erodibility.","NRCS Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey (USGS) in July 2013; HUC12 Version: NHDPlus2 WBD Snapshot (Version 03)"]
[124,"Ecological","Soil Attributes","Soil Stability, Mean in Hydro-Connected Zone in HUC12","SOILSTABILITY_HCZ_HUC12","Mean soil stability in the Hydrologically Connected Zone (HCZ) of the HUC12. Soil stability is the inverse of soil erodibility. Source data was a 100-meter resolution grid of soil map units and attributes in the Natural Resources Conservation Service (NRCS) Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey in July 2013. Mean soil erodibility in the HCZ was calculated as the average of erodibility grid values in the HCZ per HUC12. Mean soil stability was calculated as 1 - Mean soil erodibility. A 2011 version of the Hydrologically Connected Zone dataset was used for this indicator. See also Hydrologically Connected Zone glossary definition.","NRCS Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey (USGS) in July 2013; HUC12 Version: NHDPlus2 WBD Snapshot (Version 03)"]
[125,"Ecological","Soil Attributes","% Low Runoff Potential Soils in HUC12","SOIL_RUNOFF_LOW_PCT_HUC12","Percent of the HUC12 containing soils classified as having low potential for surface runoff. Soils with low runoff potential are assigned to Hydrologic Soil Group A and are defined as having a high rate of infiltration when thoroughly wet. They consist mainly of deep, well-drained sands. Source data was the USDA Natural Resources Conservation Service (NRCS) Gridded Soil Survey Geographic (gSSURGO) database (July 2020 version; https://nrcs.app.box.com/v/gateway/folder/119454159836). Calculated for each HUC12 as: Area of Hydrologic Soil Group A in HUC12 / HUC12 Area * 100. HUC12s were assigned a blank value if soil runoff potential was not reported for more than 50% of the HUC12 land area.","USDA Natural Resources Conservation Service (NRCS) Gridded Soil Survey Geographic (gSSURGO) database (July 2020 version)"]
[126,"Ecological","Soil Attributes","% Moderately Low Runoff Potential Soils in HUC12","SOIL_RUNOFF_MODLOW_PCT_HUC12","Percent of the HUC12 containing soils classified as having moderately low potential for surface runoff. Soils with moderately low runoff potential are assigned to Hydrologic Soil Group B and are defined as having a moderate rate of infiltration. They consist mainly of moderately deep, moderately well-drained soils, with grain textures between moderately fine to moderately coarse. Source data was the USDA Natural Resources Conservation Service (NRCS) Gridded Soil Survey Geographic (gSSURGO) database (July 2020 Version; https://nrcs.app.box.com/v/gateway/folder/119454159836). Calculated for each HUC12 as: Area of Hydrologic Soil Group B in HUC12 / HUC12 Area * 100. HUC12s were assigned a blank value if soil runoff potential was not reported for more than 50% of the HUC12 land area.","USDA Natural Resources Conservation Service (NRCS) Gridded Soil Survey Geographic (gSSURGO) database (July 2020 version)"]
[127,"Ecological","Stream Order","Headwater HUC12 Flag","HEADWATER_FLAG_HUC12","Flag for HUC12s classified as headwater watersheds. Headwater HUC12s have no upstream HUC12s draining to them and are assigned a value of 1. Non-headwater HUC12s have upstream HUC12s draining to them and are assigned a 0. The presence/absence of upstream HUC12s was determined as part of flow routing analysis of HUC12s in the NHDPlus2 WBD Snapshot, EnviroAtlas Version, using the NHDPlus2 flow network. Created by EPA EnviroAtlas in Fall 2015. See also NHDPlus2 and WBD Snapshot, EnviroAtlas version glossary definitions.","Based on analysis of HUC12 flow routing by EPA EnviroAtlas in fall 2015 using NHDPlus WBD Snapshot, EnviroAtlas Version (February 2015 version) and NHDPlus2 flow routing tables"]
[128,"Ecological","Stream Order","% Draining to 1st, 2nd, or 3rd Order Streams in HUC12","STREAM_ORDER_123_PCT_HUC12","Percent of the HUC12 that drains to headwater streams (1st, 2nd, or 3rd order streams). Source data was the NHDPlus2 catchment dataset and the NHDPlus2 Value Added Attributes (VAA) table. NHDPlus2 catchments were assigned a stream order based on the Modified Strahler Stream Order reported for the catchment in the VAA table. Equation used: Area of 1st, 2nd, or 3rd Order Catchments in HUC12 / HUC12 Area * 100. See also NHDPlus2 glossary definition.","NHDPlus2 Catchments; NHDPlus2 PlusFlowlineVAA tables"]
[129,"Ecological","Rare Ecosystems","% Protected Rare Ecosystems in HUC12","RARE_ECO_PROT_PCT_HUC12","Percent of the rare ecosystem area in the HUC12 that is protected. Rare ecosystems were defined based on ecosystem size, shape, and type. Source data was the U.S. Geological Survey (USGS) National Gap Analysis Program (GAP) land cover dataset (version 2, 2011). Ecological systems in the GAP land cover dataset were scored according to relative rarity based on area, spatial pattern, and uniqueness. Rarity scores ranged from 0 (not rare) to 100 (very rare); any ecological system with a score of 75 or greater was classified as rare. Protected lands were defined as areas with Status 1 or Status 2 protection by the USGS Gap Analysis Program. Status 1 and Status 2 lands have protections in place to prevent the conversion of natural land cover. Equation used: Area of Protected Rare Ecosystems / Area of Rare Ecosystems * 100. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B5E591817-C13D-498A-BA0D-F3D28D986324%7D.","EPA EnviroAtlas \"Ecosystem Rarity Metrics by 12-digit HUC for the Conterminous United States\" dataset (May 7, 2015 version)"]
[130,"Ecological","Rare Ecosystems","% Rare Ecosystems in HUC12","RARE_ECO_PCT_HUC12","Percent of the HUC12 classified as a rare ecosystem based on ecosystem size, shape, and type. Source data was the U.S. Geological Survey (USGS) National Gap Analysis Program (GAP) land cover dataset (version 2, 2011). Ecological systems in the GAP land cover dataset were scored according to relative rarity based on area, spatial pattern, and uniqueness. Rarity scores ranged from 0 (not rare) to 100 (very rare); any ecological system with a score of 75 or greater was classified as rare. Equation used: Area of Rare Ecosystems in HUC12 / HUC12 Land Area * 100. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B5E591817-C13D-498A-BA0D-F3D28D986324%7D.","EPA EnviroAtlas \"Ecosystem Rarity Metrics by 12-digit HUC for the Conterminous United States\" dataset (May 7, 2015 version)"]
[131,"Ecological","Aquatic Life and Habitat","Habitat Condition Index in HUC12","HABITAT_COND_LOCAL_HUC12","Mean Habitat Condition Index (HCI) score for the HUC12 from the National Fish Habitat Partnership (NFHP) 2015 National Assessment. Scores range from 1 (high likelihood of aquatic habitat degradation) to 5 (low likelihood of aquatic habitat degradation) based on land use, population density, roads, dams, mines, and point-source pollution sites. Source data were NFHP 2015 National Assessment Local Catchment HCI scores for NHDPlus Version 1 catchments (acquired via personal communication with NFHP in March 2016). NHDPlus Version 1 catchments are local drainage area delineations for surface water features in the NHDPlus Version 1 database. Catchment HCI scores were aggregated to HUC12 scores by calculating the area-weighted mean of HCI scores for catchments that intersect the HUC12. See http://ecosystems.usgs.gov/fishhabitat/nfhap_download.jsp for more information on the NFHP National Assessment.","National Fish Habitat Partnership (NFHP) 2015 National Assessment Local Catchment HCI scores for NHDPlus Version 1 catchments (acquired via personal communication with NFHP in March 2016)"]
[132,"Ecological","Aquatic Life and Habitat","Habitat Condition Index in Local Buffer in HUC12","HABITAT_COND_BUFF_HUC12","Mean Buffer Habitat Condition Index (HCI) score for the HUC12 from the National Fish Habitat Partnership (NFHP) 2015 National Assessment. Scores range from 1 (high likelihood of aquatic habitat degradation) to 5 (low likelihood of aquatic habitat degradation) based on land use, population density, roads, dams, mines, and point-source pollution sites in the 90-meter riparian buffer surrounding surface waters. Source data were NFHP 2015 National Assessment Local Buffer HCI scores for NHDPlus Version 1 catchments (acquired via personal communication with NFHP in March 2016). NHDPlus Version 1 catchments are local drainage area delineations for surface water features in the NHDPlus Version 1 database. Buffer HCI scores were aggregated to HUC12 scores by calculating the area-weighted mean of Buffer HCI scores for catchments that intersect the HUC12. See http://ecosystems.usgs.gov/fishhabitat/nfhap_download.jsp for more information on the NFHP National Assessment.","National Fish Habitat Partnership (NFHP) 2015 National Assessment Local Catchment HCI scores for NHDPlus Version 1 catchments (acquired via personal communication with NFHP in March 2016)"]
[133,"Ecological","Aquatic Life and Habitat","Count of At-Risk Aquatic Species in HUC12","ATRISK_SPECIES_AQ_CNT_HUC12","The total number of at-risk species associated with aquatic habitat that may reside in the HUC12. At-risk species are defined as species that are listed under the U.S. Endangered Species Act and species that have a NatureServe conservation status rank of critically imperiled (rank G1) or imperiled (rank G2). Source data were species occurrence and location records in the NatureServe Biotics database (accessed circa-2011). This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9E49350E-728C-4B75-90B5-A2A2A62C019E%7D.","EPA EnviroAtlas \"NatureServe Analysis of Imperiled or Federally Listed Species by HUC-12 for the Conterminous United States\" dataset (May 7, 2015 version)"]
[134,"Ecological","Aquatic Life and Habitat","Count of At-Risk Aquatic Animal Species in HUC12","ATRISK_SPECIES_AQAN_CNT_HUC12","The number of at-risk animal species associated with aquatic habitat that may reside in the HUC12. At-risk species are defined as species that are listed under the U.S. Endangered Species Act and species that have a NatureServe conservation status rank of critically imperiled (rank G1) or imperiled (rank G2). Source data were species occurrence and location records in the NatureServe Biotics database (accessed circa-2011). This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9E49350E-728C-4B75-90B5-A2A2A62C019E%7D.","EPA EnviroAtlas \"NatureServe Analysis of Imperiled or Federally Listed Species by HUC-12 for the Conterminous United States\" dataset (May 7, 2015 version)"]
[135,"Ecological","Aquatic Life and Habitat","Count of At-Risk Aquatic Plant Species in HUC12","ATRISK_SPECIES_AQPL_CNT_HUC12","The number of at-risk plant species associated with aquatic habitat that may reside in the HUC12. At-risk species are defined as species that are listed under the U.S. Endangered Species Act and species that have a NatureServe conservation status rank of critically imperiled (rank G1) or imperiled (rank G2). Source data were species occurrence and location records in the NatureServe Biotics database (accessed circa-2011). This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9E49350E-728C-4B75-90B5-A2A2A62C019E%7D.","EPA EnviroAtlas \"NatureServe Analysis of Imperiled or Federally Listed Species by HUC-12 for the Conterminous United States\" dataset (May 7, 2015 version)"]
[136,"Ecological","Aquatic Life and Habitat","Count of At-Risk Wetland Species in HUC12","ATRISK_SPECIES_WET_CNT_HUC12","The total number of at-risk species associated with wetland habitat that may reside in the HUC12. At-risk species are defined as species that are listed under the U.S. Endangered Species Act and species that have a NatureServe conservation status rank of critically imperiled (rank G1) or imperiled (rank G2). Source data were species occurrence and location records in the NatureServe Biotics database (accessed circa-2011). This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9E49350E-728C-4B75-90B5-A2A2A62C019E%7D.","EPA EnviroAtlas \"NatureServe Analysis of Imperiled or Federally Listed Species by HUC-12 for the Conterminous United States\" dataset (May 7, 2015 version)"]
[137,"Ecological","Aquatic Life and Habitat","Count of At-Risk Wetland Animal Species in HUC12","ATRISK_SPECIES_WETAN_CNT_HUC12","The number of at-risk animal species associated with wetland habitat that may reside in the HUC12. At-risk species are defined as species that are listed under the U.S. Endangered Species Act and species that have a NatureServe conservation status rank of critically imperiled (rank G1) or imperiled (rank G2). Source data were species occurrence and location records in the NatureServe Biotics database (accessed circa-2011). This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9E49350E-728C-4B75-90B5-A2A2A62C019E%7D.","EPA EnviroAtlas \"NatureServe Analysis of Imperiled or Federally Listed Species by HUC-12 for the Conterminous United States\" dataset (May 7, 2015 version)"]
[138,"Ecological","Aquatic Life and Habitat","Count of At-Risk Wetland Plant Species in HUC12","ATRISK_SPECIES_WETPL_CNT_HUC12","The number of at-risk plant species associated with wetland habitat that may reside in the HUC12. At-risk species are defined as species that are listed under the U.S. Endangered Species Act and species that have a NatureServe conservation status rank of critically imperiled (rank G1) or imperiled (rank G2). Source data were species occurrence and location records in the NatureServe Biotics database (accessed circa-2011). This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9E49350E-728C-4B75-90B5-A2A2A62C019E%7D.","EPA EnviroAtlas \"NatureServe Analysis of Imperiled or Federally Listed Species by HUC-12 for the Conterminous United States\" dataset (May 7, 2015 version)"]
[139,"Ecological","Aquatic Life and Habitat","Count of At-Risk Terrestrial Species in HUC12","ATRISK_SPECIES_TER_CNT_HUC12","The total number of at-risk species associated with terrestrial habitat that may reside in the HUC12. At-risk species are defined as species that are listed under the U.S. Endangered Species Act and species that have a NatureServe conservation status rank of critically imperiled (rank G1) or imperiled (rank G2). Source data were species occurrence and location records in the NatureServe Biotics database (accessed circa-2011). This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9E49350E-728C-4B75-90B5-A2A2A62C019E%7D.","EPA EnviroAtlas \"NatureServe Analysis of Imperiled or Federally Listed Species by HUC-12 for the Conterminous United States\" dataset (May 7, 2015 version)"]
[140,"Ecological","Aquatic Life and Habitat","Count of At-Risk Terrestrial Animal Species in HUC12","ATRISK_SPECIES_TERAN_CNT_HUC12","The number of at-risk animal species associated with terrestrial habitat that may reside in the HUC12. At-risk species are defined as species that are listed under the U.S. Endangered Species Act and species that have a NatureServe conservation status rank of critically imperiled (rank G1) or imperiled (rank G2). Source data were species occurrence and location records in the NatureServe Biotics database (accessed circa-2011). This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9E49350E-728C-4B75-90B5-A2A2A62C019E%7D.","EPA EnviroAtlas \"NatureServe Analysis of Imperiled or Federally Listed Species by HUC-12 for the Conterminous United States\" dataset (May 7, 2015 version)"]
[141,"Ecological","Aquatic Life and Habitat","Count of At-Risk Terrestrial Plant Species in HUC12","ATRISK_SPECIES_TERPL_CNT_HUC12","The number of at-risk plant species associated with terrestrial habitat that may reside in the HUC12. At-risk species are defined as species that are listed under the U.S. Endangered Species Act and species that have a NatureServe conservation status rank of critically imperiled (rank G1) or imperiled (rank G2). Source data were species occurrence and location records in the NatureServe Biotics database (accessed circa-2011). This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9E49350E-728C-4B75-90B5-A2A2A62C019E%7D.","EPA EnviroAtlas \"NatureServe Analysis of Imperiled or Federally Listed Species by HUC-12 for the Conterminous United States\" dataset (May 7, 2015 version)"]
[142,"Ecological","Aquatic Life and Habitat","Count of Reptile Species in HUC12","REPTILE_SP_CNT_HUC12","The number of reptile species associated with habitat that may occur in the HUC12. Source data were reptile species range maps developed by the US Geological Survey Gap Analysis Program (accessed circa-2013). This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B54A8FEC4-97C2-40D1-90FE-DA932E6B5EFE%7D.","EPA EnviroAtlas \"Reptile Biodiversity Ecosystem Services Metrics by 12-digit HUC for the Conterminous United States\" dataset (May 18, 2016 version)"]
[143,"Ecological","Aquatic Life and Habitat","Presence of Critical Habitat for Aquatic Species in HUC12","CRITHAB_AQ_PRESENCE_HUC12","Presence of critical habitat for fish, crustacean, and bivalve species in the HUC12. Critical habitat is designated and mapped for Threatened and Endangered species by the US Fish and Wildlife Service (FWS) and represents areas that are considered essential to the conservation of the species. Only includes species that are listed as Threatened and Endangered under the Federal Endangered Species Act by the FWS or species that are jointly managed by FWS and the National Marine Fisheries Service (NMFS). Does not include species which are under the sole jurisdiction of NMFS. Source data were map layers of critical habitat by species from the FWS  Environmental Conservation Online System (May 2021 version; https://ecos.fws.gov/ecp/report/table/critical-habitat.html). A value of 1 indicates the presence of critical habitat for species in the fish, crustacean, and clam groups in the HUC12. A value of 0 indicates an absence of critical habitat for these species in the HUC12.","Critical habitat map layers from the US Fish and Wildlife Service Environmental Conservation Online System (May 2021 version)"]
[144,"Ecological","Aquatic Life and Habitat","Count of Aquatic Species with Critical Habitat in HUC12","CRITHAB_AQ_SPECIES_CNT_HUC12","Count of fish, crustacean, and bivalve species with critical habitat in the HUC12. Critical habitat is designated and mapped for Threatened and Endangered species by the US Fish and Wildlife Service (FWS) and represents areas that are considered essential to the conservation of the species. Only includes species that are listed as Threatened and Endangered under the Federal Endangered Species Act by the FWS or species that are jointly managed by FWS and the National Marine Fisheries Service (NMFS). Does not include species which are under the sole jurisdiction of NMFS. Source data were map layers of critical habitat by species from the FWS  Environmental Conservation Online System (May 2021 version; https://ecos.fws.gov/ecp/report/table/critical-habitat.html). Calculated as the number of unique species in the fish, crustacean, and clam groups with critical habitat in the HUC12.","Critical habitat map layers from the US Fish and Wildlife Service Environmental Conservation Online System (May 2021 version)"]
[145,"Ecological","Other Ecological Indicators","Natural Biological Nitrogen Fixation in HUC12","N_NAT_BIO_FIX_MEAN_HUC12","Mean biological nitrogen fixation in natural and semi-natural lands in the HUC12 in 2006 (kilograms nitrogen per hectare per year). Biological nitrogen fixation is the process in which nitrogen gas from the atmosphere is incorporated into plants. Calculated from an equation describing the relationship between actual evapotranspiration (AET), land cover, and annual biological nitrogen fixation. Source data for estimating actual evapotranspiration were annual climate datasets for 2006 from the PRISM climate group (http://prism.oregonstate.edu). This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B1B0B5221-C726-4E7D-93FD-23F7A4FF8930%7D","EPA EnviroAtlas \"Biological nitrogen fixation in natural/semi-natural ecosystems by 12-digit HUC for the Conterminous United States, 2006\" dataset (May 7, 2015 version)"]
[146,"Ecological","Other Ecological Indicators","Cultivated Biological Nitrogen Fixation in HUC12","N_CULT_BIO_FIX_MEAN_HUC12","Mean biological nitrogen fixation in cultivated crop and hay/pasture lands in the HUC12 in 2006 (kilograms nitrogen per hectare per year). Biological nitrogen fixation is the process in which nitrogen gas from the atmosphere is incorporated into plants. Calculated from an equation describing the relationship between yields of soybeans, alfalfa, peanuts, dry beans, and dry peas with annual biological nitrogen fixation. Source data for estimating leguminous crop yields were county-level yields reported by the 2006 USDA Census of Agriculture. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/rest/document?id=%7B18DA5C01-F53D-4CC3-B557-046C3FF5A584%7D","EPA EnviroAtlas \"Cultivated biological nitrogen fixation in agricultural lands by 12-digit HUC in the Conterminous United States, 2006\" dataset (May 7, 2015 version)"]
[147,"Ecological","Aquatic Life and Habitat","Aquatic Condition Score, Mean in HUC12","AQUATIC_COND_MEAN_HUC12","Mean probability that perennial stream reaches in the HUC12 would be rated as having 'good' biological condition under the EPA National Rivers and Streams Assessment (NRSA). Probabilities range from 1 (high likelihood of good biological condition) to 0 (low likelihood of good biological condition) and are derived from a statistical model relating watershed attributes to biological condition rating. Source data was the Probability of Good Condition Streams dataset (March 2016 version) developed by EPA Office of Research and Development for NHDPlus2 catchments with perennial stream reaches. NHDPlus2 catchments are local drainage area delineations for surface water features in the NHDPlus2 database. Catchment probabilities were aggregated to HUC12 values by calculating the area-weighted mean of probabilities for catchments that intersect the HUC12. See also NHDPlus2 glossary definition.","Probability of Good Condition Streams dataset (March 2016 version) developed by EPA Office of Research and Development for NHDPlus2 catchments with perennial stream reaches"]
[148,"Ecological","Aquatic Life and Habitat","Aquatic Condition Score at HUC12 Outlet","AQUATIC_COND_OUTLET_HUC12","Probability that the perennial stream reach at the HUC12 outlet would be rated as having 'good' biological condition under the EPA National Rivers and Streams Assessment (NRSA). Probabilities range from 1 (high likelihood of good biological conditions) to 0 (low likelihood of good biological conditions) and are derived from a statistical model relating watershed attributes to biological condition rating. Source data was the Probability of Good Condition Streams dataset (March 2016 version) developed by EPA Office of Research and Development for NHDPlus2 catchments with perennial stream reaches. NHDPlus2 catchments are local drainage area delineations for surface water features in the NHDPlus2 database. This indicator is set to the probability of good biological condition calculated for the NHDPlus2 catchment at the HUC12 outlet. See also NHDPlus2 glossary definition.","Probability of Good Condition Streams dataset (March 2016 version) developed by EPA Office of Research and Development for NHDPlus2 catchments with perennial stream reaches"]
[149,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Watershed Health Index, State","PHWA_HEALTH_NDX_ST","The statewide Watershed Health Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Watershed Health Index is an integrated measure of watershed condition that combines Landscape Condition, Hydrologic, Geomorphology, Habitat, Water Quality, and Biological Condition Sub-Index scores. Higher scores correspond to greater potential for a watershed to have the structure and function in place to support healthy aquatic ecosystems. Source data were statewide Watershed Health Index scores for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[150,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Watershed Health Index, Ecoregion","PHWA_HEALTH_NDX_ER","The ecoregional Watershed Health Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Watershed Health Index is an integrated measure of watershed condition that combines Landscape Condition, Hydrologic, Geomorphology, Habitat, Water Quality, and Biological Condition Sub-Index scores. Higher scores correspond to greater potential for a watershed to have the structure and function in place to support healthy aquatic ecosystems. Source data were ecoregional Watershed Health Index scores for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[151,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Landscape Sub-Index, State","PHWA_LANDSC_SUBNDX_ST","The statewide Landscape Condition Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Landscape Condition Sub-Index combines multiple measures of the extent and connectivity of natural land cover in a watershed. Higher scores correspond to greater extent and connectivity of natural land cover. Source data were statewide Landscape Condition Sub-Index scores for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[152,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Landscape Sub-Index, Ecoregion","PHWA_LANDSC_SUBNDX_ER","The ecoregional Landscape Condition Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Landscape Condition Sub-Index combines multiple measures of the extent and connectivity of natural land cover in a watershed. Higher scores correspond to greater extent and connectivity of natural land cover. Source data were ecoregional Landscape Condition Sub-Index scores for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[153,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Hydrology Sub-Index, State","PHWA_HYDRO_SUBNDX_ST","The statewide Hydrology Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Hydrology Sub-Index combines multiple measures of the potential for streams in the HUC12 to support natural flow regimes, including the relative magnitude of impoundments, the prevalence of forest, wetland, and impervious cover, the number of road-stream crossings, and the amount of farmland on hydric soils. Source data were statewide Hydrology Sub-Index scores for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[154,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Hydrology Sub-Index, Ecoregion","PHWA_HYDRO_SUBNDX_ER","The ecoregional Hydrology Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Hydrology Sub-Index combines multiple measures of the potential for streams in the HUC12 to support natural flow regimes, including the relative magnitude of impoundments, the prevalence of forest, wetland, and impervious cover, the number of road-stream crossings, and the amount of farmland on hydric soils. Source data were ecoregional Hydrology Sub-Index scores for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[155,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Geomorphology Sub-Index, State","PHWA_GEO_SUBNDX_ST","The statewide Geomorphology Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Geomorphology Sub-Index combines multiple measures of the potential for the HUC12 to maintain fluvial geomorphic processes within their natural range, including the density of dams and roads, the area drained by surface ditches, and the prevalence of urban and cropped lands in the riparian zone. Source data were statewide Geomorphology Sub-Index scores for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[156,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Geomorphology Sub-Index, Ecoregion","PHWA_GEO_SUBNDX_ER","The ecoregional Geomorphology Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Geomorphology Sub-Index combines multiple measures of the potential for the HUC12 to maintain fluvial geomorphic processes within their natural range, including the density of dams and roads, the area drained by surface ditches, and the prevalence of urban and cropped lands in the riparian zone. Source data were ecoregional Geomorphology Sub-Index scores for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[157,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Habitat Sub-Index, State","PHWA_HAB_SUBNDX_ST","The statewide Habitat Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Habitat Sub-Index characterizes the potential for a HUC12 to support high quality stream habitat based on multiple measures of watershed attributes that were determined to be relevant to fish habitat quality, including the extent of urban and agricultural land cover types, human population density, road length, number of road-stream crossings, number of dams, number of mine operations, number of facilities with National Pollutant Discharge Elimination System (NPDES) wastewater discharge permits, number of sites in the EPA Toxic Release Inventory program, and number of sites on the Superfund National Priorities List. Source data were statewide Habitat Sub-Index scores for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[158,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Habitat Sub-Index, Ecoregion","PHWA_HAB_SUBNDX_ER","The ecoregional Habitat Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Habitat Sub-Index characterizes the potential for a HUC12 to support high quality stream habitat based on multiple measures of watershed attributes that were determined to be relevant to fish habitat quality, including the extent of urban and agricultural land cover types, human population density, road length, number of road-stream crossings, number of dams, number of mine operations, number of facilities with National Pollutant Discharge Elimination System (NPDES) wastewater discharge permits, number of sites in the EPA Toxic Release Inventory program, and number of sites on the Superfund National Priorities List. Source data were ecoregional Habitat Sub-Index scores for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[159,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Biological Sub-Index, State","PHWA_BIO_SUBNDX_ST","The statewide Biological Condition Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Biological Condition Sub-Index measures the likelihood for high-quality stream biological communities in the HUC12, based on a predictive model of stream biological condition that uses watershed attributes as inputs. Source data were statewide Biological Condition Sub-Index scores for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[160,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Biological Sub-Index, Ecoregion","PHWA_BIO_SUBNDX_ER","The ecoregional Biological Condition Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Biological Condition Sub-Index measures the likelihood for high-quality stream biological communities in the HUC12, based on a predictive model of stream biological condition that uses watershed attributes as inputs. Source data were ecoregional Biological Condition Sub-Index scores for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[161,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Water Quality Sub-Index, State","PHWA_WQ_SUBNDX_ST","The statewide Water Quality Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Water Quality Sub-Index considers information on impaired waters in a HUC12, defined as rivers, lakes, or other waterbodies that are not meeting surface water quality standards due to excess pollution. The Water Quality Sub-Index is measured from: (1) the percentage of the HUC12 containing impaired waters, relative to the area of the HUC12 that has been assessed for water quality standards attainment; and (2) the number of unique causes of impairment (i.e., types of pollutants or other issues causing impairment). Higher scores correspond to a greater proportion of waters attaining surface water quality standards and a lower number of impairment causes. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the state. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the state. Source data were statewide Water Quality Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[162,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Water Quality Sub-Index, Ecoregion","PHWA_WQ_SUBNDX_ER","The ecoregional Water Quality Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Water Quality Sub-Index considers information on impaired waters in a HUC12, defined as rivers, lakes, or other waterbodies that are not meeting surface water quality standards due to excess pollution. The Water Quality Sub-Index is measured from: (1) the percentage of the HUC12 containing impaired waters, relative to the area of the HUC12 that has been assessed for water quality standards attainment; and (2) the number of unique causes of impairment (i.e., types of pollutants or other issues causing impairment). Higher scores correspond to a greater proportion of waters attaining surface water quality standards and a lower number of impairment causes. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the ecoregion. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the ecoregion. Source data were ecoregional Water Quality Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[163,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Watershed Health Index, State Percentile","PHWA_HEALTH_NDX_ST_PCT","The statewide Watershed Health Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Watershed Health Index is an integrated measure of watershed condition that combines Landscape Condition, Hydrologic, Geomorphology, Habitat, Water Quality, and Biological Condition Sub-Index scores. Higher scores correspond to greater potential for a watershed to have the structure and function in place to support healthy aquatic ecosystems. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the state. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the state. Source data were statewide Watershed Health Index percentiles for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[164,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Watershed Health Index, Ecoregion Percentile","PHWA_HEALTH_NDX_ER_PCT","The ecoregional Watershed Health Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Watershed Health Index is an integrated measure of watershed condition that combines Landscape Condition, Hydrologic, Geomorphology, Habitat, Water Quality, and Biological Condition Sub-Index scores. Higher scores correspond to greater potential for a watershed to have the structure and function in place to support healthy aquatic ecosystems. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the ecoregion. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the ecoregion. Source data were ecoregional Watershed Health Index percentiles for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[165,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Landscape Sub-Index, State Percentile","PHWA_LANDSC_SUBNDX_ST_PCT","The statewide Landscape Condition Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Landscape Condition Sub-Index combines multiple measures of the extent and connectivity of natural land cover in a watershed. Higher scores correspond to greater extent and connectivity of natural land cover. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the state. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the state. Source data were statewide Landscape Condition Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[166,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Landscape Sub-Index, Ecoregion Percentile","PHWA_LANDSC_SUBNDX_ER_PCT","The ecoregional Landscape Condition Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Landscape Condition Sub-Index combines multiple measures of the extent and connectivity of natural land cover in a watershed. Higher scores correspond to greater extent and connectivity of natural land cover. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the ecoregion. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the ecoregion. Source data were ecoregional Landscape Condition Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[167,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Hydrology Sub-Index, State Percentile","PHWA_HYDRO_SUBNDX_ST_PCT","The statewide Hydrology Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Hydrology Sub-Index combines multiple measures of the potential for streams in the HUC12 to support natural flow regimes, including the relative magnitude of impoundments, the prevalence of forest, wetland, and impervious cover, the number of road-stream crossings, and the amount of farmland on hydric soils. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the state. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the state. Source data were statewide Hydrology Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[168,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Hydrology Sub-Index, Ecoregion Percentile","PHWA_HYDRO_SUBNDX_ER_PCT","The ecoregional Hydrology Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Hydrology Sub-Index combines multiple measures of the potential for streams in the HUC12 to support natural flow regimes, including the relative magnitude of impoundments, the prevalence of forest, wetland, and impervious cover, the number of road-stream crossings, and the amount of farmland on hydric soils. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the ecoregion. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the ecoregion. Source data were ecoregional Hydrology Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[169,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Geomorphology Sub-Index, State Percentile","PHWA_GEO_SUBNDX_ST_PCT","The statewide Geomorphology Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Geomorphology Sub-Index combines multiple measures of the potential for the HUC12 to maintain fluvial geomorphic processes within their natural range, including the density of dams and roads, the area drained by surface ditches, and the prevalence of urban and cropped lands in the riparian zone. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the state. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the state. Source data were statewide Geomorphology Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[170,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Geomorphology Sub-Index, Ecoregion Percentile","PHWA_GEO_SUBNDX_ER_PCT","The ecoregional Geomorphology Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Geomorphology Sub-Index combines multiple measures of the potential for the HUC12 to maintain fluvial geomorphic processes within their natural range, including the density of dams and roads, the area drained by surface ditches, and the prevalence of urban and cropped lands in the riparian zone. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the ecoregion. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the ecoregion. Source data were ecoregional Geomorphology Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[171,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Habitat Sub-Index, State Percentile","PHWA_HAB_SUBNDX_ST_PCT","The statewide Habitat Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Habitat Sub-Index characterizes the potential for a HUC12 to support high quality stream habitat based on multiple measures of watershed attributes that were determined to be relevant to fish habitat quality, including the extent of urban and agricultural land cover types, human population density, road length, number of road-stream crossings, number of dams, number of mine operations, number of facilities with National Pollutant Discharge Elimination System (NPDES) wastewater discharge permits, number of sites in the EPA Toxic Release Inventory program, and number of sites on the Superfund National Priorities List. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the state. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the state. Source data were statewide Habitat Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[172,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Habitat Sub-Index, Ecoregion Percentile","PHWA_HAB_SUBNDX_ER_PCT","The ecoregional Habitat Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Habitat Sub-Index characterizes the potential for a HUC12 to support high quality stream habitat based on multiple measures of watershed attributes that were determined to be relevant to fish habitat quality, including the extent of urban and agricultural land cover types, human population density, road length, number of road-stream crossings, number of dams, number of mine operations, number of facilities with National Pollutant Discharge Elimination System (NPDES) wastewater discharge permits, number of sites in the EPA Toxic Release Inventory program, and number of sites on the Superfund National Priorities List. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the ecoregion. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the ecoregion. Source data were ecoregional Habitat Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[173,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Biological Sub-Index, State Percentile","PHWA_BIO_SUBNDX_ST_PCT","The statewide Biological Condition Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Biological Condition Sub-Index measures the likelihood for high-quality stream biological communities in the HUC12, based on a predictive model of stream biological condition that uses watershed attributes as inputs. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the state. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the state. Source data were statewide Biological Condition Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[174,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Biological Sub-Index, Ecoregion Percentile","PHWA_BIO_SUBNDX_ER_PCT","The ecoregional Biological Condition Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Biological Condition Sub-Index measures the likelihood for high-quality stream biological communities in the HUC12, based on a predictive model of stream biological condition that uses watershed attributes as inputs. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the ecoregion. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the ecoregion. Source data were ecoregional Biological Condition Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[175,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Water Quality Sub-Index, State Percentile","PHWA_WQ_SUBNDX_ST_PCT","The statewide Water Quality Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Water Quality Sub-Index considers information on impaired waters in a HUC12, defined as rivers, lakes, or other waterbodies that are not meeting surface water quality standards due to excess pollution. The Water Quality Sub-Index is measured from: (1) the percentage of the HUC12 containing impaired waters, relative to the area of the HUC12 that has been assessed for water quality standards attainment; and (2) the number of unique causes of impairment (i.e., types of pollutants or other issues causing impairment). Higher scores correspond to a greater proportion of waters attaining surface water quality standards and a lower number of impairment causes. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the state. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the state. Source data were statewide Water Quality Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[176,"Ecological","Integrated Watershed Health Index & Sub-Indices","PHWA Water Quality Sub-Index, Ecoregion Percentile","PHWA_WQ_SUBNDX_ER_PCT","The ecoregional Water Quality Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Water Quality Sub-Index considers information on impaired waters in a HUC12, defined as rivers, lakes, or other waterbodies that are not meeting surface water quality standards due to excess pollution. The Water Quality Sub-Index is measured from: (1) the percentage of the HUC12 containing impaired waters, relative to the area of the HUC12 that has been assessed for water quality standards attainment; and (2) the number of unique causes of impairment (i.e., types of pollutants or other issues causing impairment). Higher scores correspond to a greater proportion of waters attaining surface water quality standards and a lower number of impairment causes. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the ecoregion. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the ecoregion. Source data were ecoregional Water Quality Sub-Index percentiles for HUC12s from the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[177,"Ecological","Neutral Variable","Neutral Variable, Ecological Category","NEUTRAL_ECO","Equal to 0.5 for all HUC12s. Can be used for an analysis that focuses on just the Stressor and Social indicator categories, with the Ecological category left out. If using this indicator do not select any other Ecological Indicators.","Not applicable"]
[178,"Stressor","Urban/Developed Cover","% Urban in HUC12","URBAN_PCT_HUC12","Percent of the HUC12 classified as urban cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Urban cover classes include 'Developed, Open Space' (code 21), 'Developed, Low Intensity' (code 22), 'Developed, Medium Intensity' (code 23), 'Developed, High Intensity' (code 24) in the NLCD 2019 Land Cover dataset. Calculated as urban area divided by HUC12 area, multiplied by 100.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[179,"Stressor","Urban/Developed Cover","% Urban in Hydro-Connected Zone in HUC12","URBAN_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as urban cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Urban cover classes include 'Developed, Open Space' (code 21), 'Developed, Low Intensity' (code 22), 'Developed, Medium Intensity' (code 23), 'Developed, High Intensity' (code 24) in the NLCD 2019 Land Cover dataset. Calculated as urban area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[180,"Stressor","Urban/Developed Cover","% Urban in Riparian Zone in HUC12","URBAN_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as urban cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Urban cover classes include 'Developed, Open Space' (code 21), 'Developed, Low Intensity' (code 22), 'Developed, Medium Intensity' (code 23), 'Developed, High Intensity' (code 24) in the NLCD 2019 Land Cover dataset. Calculated as urban area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[181,"Stressor","Urban/Developed Cover","% Urban Change in HUC12 (2001-19)","URBAN_CHG_PCT_HUC12","Change in the percentage of the HUC12 with urban cover from 2001 to 2019. Source data were the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Urban cover classes include 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', and 'Developed, High Intensity'; codes 21 through 24 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in urban cover; negative values denote a decrease in urban cover. Equation used: (2019 Urban Area in HUC12 - 2001 Urban Area in HUC12)/HUC12 Area * 100.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version)"]
[182,"Stressor","Urban/Developed Cover","% Urban Change in Hydro-Connected Zone in HUC12 (2001-19)","URBAN_CHG_HCZ_PCT_HUC12","Change in the percentage of the HUC12 with urban cover in the Hydrologically Connected Zone (HCZ) from 2001 to 2019. Source data were the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Urban cover classes include 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', and 'Developed, High Intensity'; codes 21 through 24 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in urban; negative values denote a decrease in urban. Equation used: (2019 Urban Area in HCZ - 2001 Urban Area in HCZ)/HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Hydrologically Connected Zone (June 2022 version)"]
[183,"Stressor","Urban/Developed Cover","% Urban Change in Riparian Zone in HUC12 (2001-19)","URBAN_CHG_RZ_PCT_HUC12","Change in the percentage of the HUC12 with urban cover in the Riparian Zone (RZ) from 2001 to 2019. Source data were the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Urban cover classes include 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', and 'Developed, High Intensity'; codes 21 through 24 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in urban cover; negative values denote a decrease in urban cover. Equation used: (2019 Urban Area in RZ - 2001 Urban Area in RZ)/HUC12 Area * 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[184,"Stressor","Urban/Developed Cover","% Urban Contiguous to Water in HUC12","URBAN_CONTIG_WATR_PCT_HUC12","Percent of the HUC12 that is classified as urban land cover and contiguous to surface water. This indicator does not count areas with urban land cover that are buffered from surface water by other land use types. Source data were the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus) and the Water Mask map layer (June 2022 version). Urban cover classes include 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', and 'Developed, High Intensity'; codes 21 through 24 in the 2001 and 2019 Land Cover datasets. Equation used: Urban Contiguous to Water Area / HUC12 Area * 100. See also Water Mask glossary definition.","National Land Cover Database 2019 (NLCD 2019; June 4, 2021 version); Water Mask (June 2022 version)"]
[185,"Stressor","Urban/Developed Cover","% Developed, High Intensity in HUC12","DEV_HIGH_PCT_HUC12","Percent of the HUC12 classified as 'Developed, High Intensity' (code 24) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Developed, High Intensity' area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[186,"Stressor","Urban/Developed Cover","% Developed, Medium Intensity in HUC12","DEV_MED_PCT_HUC12","Percent of the HUC12 classified as 'Developed, Medium Intensity' (code 23) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Developed, Medium Intensity' area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[187,"Stressor","Urban/Developed Cover","% Developed, Low Intensity in HUC12","DEV_LOW_PCT_HUC12","Percent of the HUC12 classified as 'Developed, Low Intensity' (code 22) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Developed, Low Intensity' area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[188,"Stressor","Urban/Developed Cover","% Developed, Open Space in HUC12","DEV_OPENSPACE_PCT_HUC12","Percent of the HUC12 classified as 'Developed, Open Space' (code 21) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Developed, Open Space' area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[189,"Stressor","Urban/Developed Cover","% Developed, High Intensity in Hydro-Connected Zone in HUC12","DEV_HIGH_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Developed, High Intensity' (code 24) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Developed, High Intensity' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[190,"Stressor","Urban/Developed Cover","% Developed, Medium Intensity in Hydro-Connected Zone in HUC12","DEV_MED_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Developed, Medium Intensity' (code 23) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Developed, Medium Intensity' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[191,"Stressor","Urban/Developed Cover","% Developed, Low Intensity in Hydro-Connected Zone in HUC12","DEV_LOW_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Developed, Low Intensity' (code 22) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Developed, Low Intensity' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[192,"Stressor","Urban/Developed Cover","% Developed, Open Space in Hydro-Connected Zone in HUC12","DEV_OPENSPACE_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Developed, Open Space' (code 21) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Developed, Open Space' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[193,"Stressor","Urban/Developed Cover","% Developed, High Intensity in Riparian Zone in HUC12","DEV_HIGH_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Developed, High Intensity' (code 24) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Developed, High Intensity' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[194,"Stressor","Urban/Developed Cover","% Developed, Medium Intensity in Riparian Zone in HUC12","DEV_MED_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Developed, Medium Intensity' (code 23) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Developed, Medium Intensity' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[195,"Stressor","Urban/Developed Cover","% Developed, Low Intensity in Riparian Zone in HUC12","DEV_LOW_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Developed, Low Intensity' (code 22) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Developed, Low Intensity' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[196,"Stressor","Urban/Developed Cover","% Developed, Open Space in Riparian Zone in HUC12","DEV_OPENSPACE_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Developed, Open Space' (code 21) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Calculated as 'Developed, Open Space' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[197,"Stressor","Urban/Developed Cover","% Projected Change in Developed Cover in HUC12, SSP5 Scenario","DEV_PRJ_CHG_SSP5_PCT_HUC12","Projected change in the percentage of the HUC12 with developed land cover from 2010 to 2050 for the Shared Socio-Economic Pathway 5 (SSP5) scenario. The SSP5 scenario describes a rapidly growing and flourishing global economy that remains heavily dependent on fossil fuels, and a U.S. population that exceeds 700 million by 2100. Calculated from the EPA Integrated Climate and Land-Use Scenarios (ICLUS) Land Use Projection geospatial dataset Version 2.1.1 (February 2018 version; https://www.epa.gov/gcx/iclus-downloads). The ICLUS Land Use Projection dataset is comprised of national map layers of projected land cover at 90 meter resolution for each decade from 2010 to 2100. Developed land cover includes the following ICLUS cover types: Parks and Golf Courses, Exurban (Low and High Density), Suburban, Urban (Low and High Density), Commercial, Industrial, Institutional, and Transportation (grid values 9-18). The projected change in developed land cover was calculated for each HUC12 as the 2050 developed area minus the 2010 developed area, divided by HUC12 area, multiplied by 100.","EPA Integrated Climate and Land-Use Scenarios (ICLUS) Version 2.1.1 Land Use Projections"]
[198,"Stressor","Urban/Developed Cover","% Projected Change in Developed Cover in HUC12, SSP2 Scenario","DEV_PRJ_CHG_SSP2_PCT_HUC12","Projected change in the percentage of the HUC12 with developed land cover from 2010 to 2050 for the Shared Socio-Economic Pathway 2 (SSP2) scenario. The SSP2 scenario is a 'middle-of-the-road' projection, where social, economic and technological trends do not shift markedly from historical patterns with a U.S. population of approximately 450 million in 2100. Calculated from the EPA Integrated Climate and Land-Use Scenarios (ICLUS) Land Use Projection geospatial dataset Version 2.1.1 (February 2018 version; https://www.epa.gov/gcx/iclus-downloads). The ICLUS Land Use Projection dataset is comprised of national map layers of projected land cover at 90 meter resolution for each decade from 2010 to 2100. Developed land cover includes the following ICLUS cover types: Parks and Golf Courses, Exurban (Low and High Density), Suburban, Urban (Low and High Density), Commercial, Industrial, Institutional, and Transportation (grid values 9-18). The projected change in developed land cover was calculated for each HUC12 as the 2050 developed area minus the 2010 developed area, divided by HUC12 area, multiplied by 100.","EPA Integrated Climate and Land-Use Scenarios (ICLUS) Version 2.1.1 Land Use Projections"]
[199,"Stressor","Agricultural Cover","% Agriculture in HUC12","AG_PCT_HUC12","Percent of the HUC12 classified as agriculture cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Agriculture cover classes includes Cropland and Pasture/Hay; codes 81 and 82 in the NLCD 2019 Land Cover dataset. Calculated as agriculture area in the HUC12 divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[200,"Stressor","Agricultural Cover","% Agriculture in Hydro-Connected Zone in HUC12","AG_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as agriculture cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Agriculture cover classes include Cropland and Pasture/Hay; codes 81 and 82 in the NLCD 2019 Land Cover dataset. Calculated as agriculture area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[201,"Stressor","Agricultural Cover","% Agriculture in Riparian Zone in HUC12","AG_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as agriculture cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Agriculture cover classes include Cropland and Pasture/Hay; codes 81 and 82 in the NLCD 2019 Land Cover dataset. Calculated as agriculture area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[202,"Stressor","Agricultural Cover","% Agriculture Change in HUC12 (2001-19)","AG_CHG_PCT_HUC12","Change in the percentage of the HUC12 with agriculture cover from 2001 to 2019. Source data were the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Agriculture cover classes include 'Pasture/Hay' and 'Cultivated Crops'; codes 81 and 82 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in agriculture; negative values denote a decrease in agriculture. Equation used: (2019 Agriculture Area in HU12 - 2001 Agriculture Area in HUC12)/HUC12 Area * 100.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version)"]
[203,"Stressor","Agricultural Cover","% Agriculture Change in Hydro-Connected Zone in HUC12 (2001-19)","AG_CHG_HCZ_PCT_HUC12","Change in the percentage of the HUC12 with agriculture cover in the Hydrologically Connected Zone (HCZ) from 2001 to 2019. Source data were the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Agriculture cover classes include 'Pasture/Hay' and 'Cultivated Crops'; codes 81 and 82 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in agriculture; negative values denote a decrease in agriculture. Equation used: (2019 Agriculture Area in HCZ - 2001 Agriculture Area in HCZ)/HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Hydrologically Connected Zone (June 2022 version)"]
[204,"Stressor","Agricultural Cover","% Agriculture Change in Riparian Zone in HUC12 (2001-19)","AG_CHG_RZ_PCT_HUC12","Change in the percentage of the HUC12 with agriculture cover in the Riparian Zone (RZ) from 2001 to 2019. Source data were the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Agriculture cover classes include 'Pasture/Hay' and 'Cultivated Crops'; codes 81 and 82 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in agriculture; negative values denote a decrease in agriculture. Equation used: (2019 Agriculture Area in RZ - 2001 Agriculture Area in RZ)/HUC12 Area * 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[205,"Stressor","Agricultural Cover","% Agriculture Contiguous to Water in HUC12","AG_CONTIG_WATR_PCT_HUC12","Percent of the HUC12 that is classified as agricultural land cover and contiguous to surface water. This indicator does not count areas with agricultural land cover that are buffered from surface water by other land use types. Source data were the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus) and the Water Mask (June 2022 version). Agriculture cover classes include Cropland and Pasture/Hay; codes 81 and 82 in the NLCD 2019 Land Cover dataset. Equation used: Agriculture Contiguous to Water Area / HUC12 Area * 100. See also Water Mask glossary definition.","National Land Cover Database 2019 (NLCD 2019; June 4, 2021 version); Water Mask (June 2022 version)"]
[206,"Stressor","Agricultural Cover","% Cultivated Crops in HUC12","CROP_PCT_HUC12","Percent of the HUC12 classified as 'Cultivated Crop' cover (code 82) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Cultivated Crop cover consists of areas used for the production of annual crops, such as corn, soybeans, or vegetables, and also perennial woody crops such as orchards and vineyards. Calculated as 'Cultivated Crop' area divided by HUC12 area, multiplied by 100. ","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[207,"Stressor","Agricultural Cover","% Cultivated Crops in Hydro-Connected Zone in HUC12","CROP_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone and classified as 'Cultivated Crop' cover (code 82) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Cultivated Crop cover consists of areas used for the production of annual crops, such as corn, soybeans, or vegetables, and also perennial woody crops such as orchards and vineyards. Calculated as 'Cultivated Crop' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[208,"Stressor","Agricultural Cover","% Cultivated Crops in Riparian Zone in HUC12","CROP_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as 'Cultivated Crop' cover (code 82) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Cultivated Crop cover consists of areas used for the production of annual crops, such as corn, soybeans, or vegetables, and also perennial woody crops such as orchards and vineyards. Calculated as 'Cultivated Crop' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[209,"Stressor","Agricultural Cover","% Pasture/Hay in HUC12","PASTURE_PCT_HUC12","Percent of the HUC12 classified as 'Pasture/Hay' cover (code 82) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Pasture/Hay cover consists of grasses, legumes, or grass-legume mixtures planted for livestock grazing or the production of seed or hay crops, typically on a perennial cycle. Calculated as 'Pasture/Hay' area divided by HUC12 area, multiplied by 100.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[210,"Stressor","Agricultural Cover","% Pasture/Hay in Hydro-Connected Zone in HUC12","PASTURE_HCZ_PCT_HUC12","Percent of the HUC12 in the Hydrologically Connected Zone classified as 'Pasture/Hay' cover (code 82) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Pasture/Hay cover consists of grasses, legumes, or grass-legume mixtures planted for livestock grazing or the production of seed or hay crops, typically on a perennial cycle. Calculated as 'Pasture/Hay' area in the Hydrologically Connected Zone divided by HUC12 area, multiplied by 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[211,"Stressor","Agricultural Cover","% Pasture/Hay in Riparian Zone in HUC12","PASTURE_RZ_PCT_HUC12","Percent of the HUC12 in the Riparian Zone classified as 'Pasture/Hay' cover (code 82) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Pasture/Hay cover consists of grasses, legumes, or grass-legume mixtures planted for livestock grazing or the production of seed or hay crops, typically on a perennial cycle. Calculated as 'Pasture/Hay' area in the Riparian Zone divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[212,"Stressor","Agricultural Cover","% Agriculture on Hydric Soil in HUC12","AG_HYDRIC_PCT_HUC12","Percent of the HUC12 with agriculture on hydric soils. Calculated by overlaying soils units with hydric soils from the Natural Resources Conservation Service Soil Survey Geographic Database (SSURGO) with agricultural land cover classes from a custom land cover dataset that combined the 2006 National Land Cover Database (NLCD 2006) and the 2010 USDA Cropland Data Layer (CDL). Because SSURGO classifies map units as 'percent hydric' rather than hydric or non-hydric, a minimum threshold of 80% hydric soils per map unit was used to distinguish hydric soils from non-hydric soils. Equation used: Area of Agriculture on Hydric Soils / HUC12 Area * 100. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B167113DA-E941-4CB3-8E93-8FE2600C08DA%7D","EPA EnviroAtlas \"Percent Agriculture on Hydric Soil for the Conterminous United States\" dataset (May 7, 2015 version)"]
[213,"Stressor","Agricultural Cover","% Nonbuffered Agriculture in HUC12","AG_NONBUFF_PCT_HUC12","Percent of the HUC12 that is nonbuffered agricultural land. Nonbuffered agriculture is defined as agricultural land that is drained by flow paths that do not intersect vegetated forest or wetland buffers before reaching stream channels. Estimated from the 2006 National Land Cover Database, the 2010 Cropland Data Layer, a 30-meter resolution Digital Elevation Model, and the high-resolution National Hydrography Dataset (NHD). This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bcb9ce5db-45af-41b0-bc24-6c6ec2eff85d%7D. See also EnviroAtlas glossary definition.","EPA EnviroAtlas \"Agricultural Buffers by 12-Digit HUC for the Conterminous United States\" (June 2017 version)"]
[214,"Stressor","Agricultural Cover","% Agriculture on > 10% Slope in HUC12","AG_PCT_SLP10_HUC12","Percent of the HUC12 with agriculture cover on slopes greater than or equal to 10 percent. Calculated from the 2016 CDL-NLCD Hybrid Land Cover dataset and the National Elevation Dataset (NED) Snapshot dataset. The 2016 CDL-NLCD Hybrid Land Cover dataset is a national map layer that combines the 2016 Cropland Data Layer (CDL) (December 2016 version) and the National Land Cover Database (NLCD) 2016 Land Cover maps (January 2019 version). Agriculture cover classes include cropland and pasture; codes 1 through 92, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the area of agriculture cover on slopes greater than or equal to 10 percent, divided by HUC12 area, multiplied by 100. See also NED Snapshot glossary definition.","2016 Cropland Data Layer (December 2016 version); National Land Cover Database (NLCD) 2016 Land Cover (January 2019 Version); NHDPlus2 National Elevation Dataset (NED) Snapshot (downloaded October 2012)"]
[215,"Stressor","Agricultural Cover","% Agriculture on > 20% Slope in HUC12","AG_PCT_SLP20_HUC12","Percent of the HUC12 with agriculture cover on slopes greater than or equal to 20 percent. Calculated from the 2016 CDL-NLCD Hybrid Land Cover dataset and the National Elevation Dataset (NED) Snapshot dataset. The 2016 CDL-NLCD Hybrid Land Cover dataset is a national map layer that combines the 2016 Cropland Data Layer (CDL) (December 2016 version) and the National Land Cover Database (NLCD) 2016 Land Cover maps (January 2019 version). Agriculture cover classes include cropland and pasture; codes 1 through 100, 181, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the area of agriculture cover on slopes greater than or equal to 20 percent, divided by HUC12 area, multiplied by 100. See also NED Snapshot glossary definition.","2016 Cropland Data Layer (December 2016 version); National Land Cover Database (NLCD) 2016 Land Cover (January 2019 Version); NHDPlus2 National Elevation Dataset (NED) Snapshot (downloaded October 2012)"]
[216,"Stressor","Agricultural Cover","% Slope of Cropland, Mean in HUC12","CROP_SLPMEAN_HUC12","Mean slope of cultivated crop cover in the HUC12 (percent). Calculated from the 2016 CDL-NLCD Hybrid Land Cover dataset and the National Elevation Dataset (NED) Snapshot dataset. The 2016 CDL-NLCD Hybrid Land Cover dataset is a national map layer that combines the 2016 Cropland Data Layer (CDL) (December 2016 version) and the National Land Cover Database (NLCD) 2016 Land Cover maps (January 2019 version). Cultivated crop cover classes include non-pasture agriculture; codes 1 through 35, 38 through 57, 66 through 100, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the mean slope for grid pixels classified as cultivated crop cover in the HUC12. See also NED Snapshot glossary definition.","2016 Cropland Data Layer (December 2016 version); National Land Cover Database (NLCD) 2016 Land Cover (January 2019 Version); NHDPlus2 National Elevation Dataset (NED) Snapshot (downloaded October 2012)"]
[217,"Stressor","Agricultural Cover","% Cropland on > 3% Slope in HUC12","CROP_PCT_SLP3_HUC12","Percent of the HUC12 with cultivated crop cover on slopes greater than or equal to 3 percent. Calculated from the 2016 CDL-NLCD Hybrid Land Cover dataset and the National Elevation Dataset (NED) Snapshot dataset. The 2016 CDL-NLCD Hybrid Land Cover dataset is a national map layer that combines the 2016 Cropland Data Layer (CDL) (December 2016 version) and the National Land Cover Database (NLCD) 2016 Land Cover maps (January 2019 version). Cultivated crop cover classes include non-pasture agriculture; codes 1 through 35, 38 through 57, 66 through 100, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the area of cultivated crop cover on slopes greater than or equal to 3 percent, divided by HUC12 area, multiplied by 100. See also NED Snapshot glossary definition.","2016 Cropland Data Layer (December 2016 version); National Land Cover Database (NLCD) 2016 Land Cover (January 2019 Version); NHDPlus2 National Elevation Dataset (NED) Snapshot (downloaded October 2012)"]
[218,"Stressor","Agricultural Cover","% Cropland on > 10% Slope in HUC12","CROP_PCT_SLP10_HUC12","Percent of the HUC12 with cultivated crop cover on slopes greater than or equal to 10 percent. Calculated from the 2016 CDL-NLCD Hybrid Land Cover dataset and the National Elevation Dataset (NED) Snapshot dataset. The 2016 CDL-NLCD Hybrid Land Cover dataset is a national map layer that combines the 2016 Cropland Data Layer (CDL) (December 2016 version) and the National Land Cover Database (NLCD) 2016 Land Cover maps (January 2019 version). Cultivated crop cover classes include non-pasture agriculture; codes 1 through 35, 38 through 57, 66 through 100, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the area of cultivated crop cover on slopes greater than or equal to 10 percent, divided by HUC12 area, multiplied by 100. See also NED Snapshot glossary definition.","2016 Cropland Data Layer (December 2016 version); National Land Cover Database (NLCD) 2016 Land Cover (January 2019 Version); NHDPlus2 National Elevation Dataset (NED) Snapshot (downloaded October 2012)"]
[219,"Stressor","Agricultural Cover","% Slope of Cropland, Mean in Riparian Zone in HUC12","CROP_SLPMEAN_RZ_HUC12","Mean slope of cultivated crop cover in the Riparian Zone of the HUC12 (percent). Calculated from the 2016 CDL-NLCD Hybrid Land Cover dataset and the National Elevation Dataset (NED) Snapshot dataset. The 2016 CDL-NLCD Hybrid Land Cover dataset is a national map layer that combines the 2016 Cropland Data Layer (CDL) (December 2016 version) and the National Land Cover Database (NLCD) 2016 Land Cover maps (January 2019 version). Cultivated crop cover classes include non-pasture agriculture; codes 1 through 35, 38 through 57, 66 through 100, 182, and 204 through 254 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the mean slope for grid pixels classified as cultivated crop cover in the Riparian Zone of the HUC12. See also Riparian Zone and NED Snapshot glossary definitions.","2016 Cropland Data Layer (December 2016 version); National Land Cover Database (NLCD) 2016 Land Cover (January 2019 Version); NHDPlus2 National Elevation Dataset (NED) Snapshot (downloaded October 2012)"]
[220,"Stressor","Agricultural Cover","% Slope of Pasture, Mean in HUC12","PASTURE_SLPMEAN_HUC12","Mean slope of pasture cover in the HUC12 (percent). Calculated from the 2016 CDL-NLCD Hybrid Land Cover dataset and the National Elevation Dataset (NED) Snapshot dataset. The 2016 CDL-NLCD Hybrid Land Cover dataset is a national map layer that combines the 2016 Cropland Data Layer (CDL) (December 2016 version) and the National Land Cover Database (NLCD) 2016 Land Cover maps (January 2019 version). Pasture cover classes include any uncropped agriculture cover; codes 36, 37, 58 through 61, and 181 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the mean slope for grid pixels classified as pasture cover in the HUC12. See also NED Snapshot glossary definition.","2016 Cropland Data Layer (December 2016 version); National Land Cover Database (NLCD) 2016 Land Cover (January 2019 Version); NHDPlus2 National Elevation Dataset (NED) Snapshot (downloaded October 2012)"]
[221,"Stressor","Agricultural Cover","% Pasture on > 10% Slope in HUC12","PASTURE_PCT_SLP10_HUC12","Percent of the HUC12 with pasture cover on slopes greater than or equal to 10 percent. Calculated from the 2016 CDL-NLCD Hybrid Land Cover dataset and the National Elevation Dataset (NED) Snapshot dataset. The 2016 CDL-NLCD Hybrid Land Cover dataset is a national map layer that combines the 2016 Cropland Data Layer (CDL) (December 2016 version) and the National Land Cover Database (NLCD) 2016 Land Cover maps (January 2019 version).  Pasture cover classes include any uncropped agriculture cover; codes 36, 37, 58 through 61, and 181 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the area of pasture cover on slopes greater than or equal to 10 percent, divided by HUC12 area, multiplied by 100. See also NED Snapshot glossary definition.","2016 Cropland Data Layer (December 2016 version); National Land Cover Database (NLCD) 2016 Land Cover (January 2019 Version); NHDPlus2 National Elevation Dataset (NED) Snapshot (downloaded October 2012)"]
[222,"Stressor","Agricultural Cover","% Slope of Pasture, Mean in Riparian Zone in HUC12","PASTURE_SLPMEAN_RZ_HUC12","Mean slope of pasture cover in the Riparian Zone of the HUC12 (percent). Calculated from the 2016 CDL-NLCD Hybrid Land Cover dataset and the National Elevation Dataset (NED) Snapshot dataset. The 2016 CDL-NLCD Hybrid Land Cover dataset is a national map layer that combines the 2016 Cropland Data Layer (CDL) (December 2016 version) and the National Land Cover Database (NLCD) 2016 Land Cover maps (January 2019 version). Pasture cover classes include any uncropped agriculture cover; codes 36, 37, 58 through 61, and 181 in the 2016 CDL-NLCD Hybrid Land Cover dataset. Calculated as the mean slope value for grid pixels classified as pasture cover in the Riparian Zone of the HUC12. See also Riparian Zone and NED Snapshot glossary definitions.","2016 Cropland Data Layer (December 2016 version); National Land Cover Database (NLCD) 2016 Land Cover (January 2019 Version); NHDPlus2 National Elevation Dataset (NED) Snapshot (downloaded October 2012)"]
[223,"Stressor","Human Use Land Cover (All Types)","% U-Index1 in HUC12","U_INDEX_PCT_HUC12","Percent of the HUC12 classified as a human land use (excluding barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Human use land cover classes in the U-Index1 include cropland, pasture, and urban; codes 21 through 24, and 81, 82 in the NLCD 2019 Land Cover dataset. Equation used: U-Index1 Area / HUC12 Area * 100. \n","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[224,"Stressor","Human Use Land Cover (All Types)","% U-Index1 in Hydro-Connected Zone in HUC12","U_INDEX_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone (HCZ) and classified as a human land use (excluding barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Human use land cover classes in the U-Index1 include cropland, pasture, and urban; codes 21 through 24, and 81, 82, in the NLCD 2019 Land Cover dataset. Equation used: Area of U-Index1 in HCZ / HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[225,"Stressor","Human Use Land Cover (All Types)","% U-Index1 in Riparian Zone in HUC12","U_INDEX_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone (RZ) and classified as a human land use (excluding barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Human use land cover classes in the U-Index1 include cropland, pasture, and urban; codes 21 through 24, 81, 82 in the NLCD 2019 Land Cover dataset. Equation used: Area of U-Index1 in RZ / HUC12 Area * 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[226,"Stressor","Human Use Land Cover (All Types)","% U-Index1 Change in HUC12 (2001-19)","U_INDEX_CHG_PCT_HUC12","Change in the percentage of the HUC12 with human use land cover (excluding barren land) from 2001 to 2019. Source data were the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Human use cover classes included in the U-Index1 are 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', 'Developed, High Intensity', 'Pasture/Hay', and 'Cultivated Crops' cover classes; codes 21 through 24, 81, and 82 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in U-Index1; negative values denote a decrease in U-Index1. Equation used: (2019 U-Index1 Area in HUC12 - 2001 U-Index1 Area in HUC12)/HUC12 Area * 100.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version)"]
[227,"Stressor","Human Use Land Cover (All Types)","% U-Index1 Change in Hydro-Connected Zone in HUC12 (2001-19)","U_INDEX_CHG_HCZ_PCT_HUC12","Change in the percentage of the HUC12 with human use land cover (excluding barren land) in the Hydrologically Connected Zone (HCZ) from 2001 to 2019. Source data were the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Human use cover classes included in the U-Index1 are 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', 'Developed, High Intensity', 'Pasture/Hay', and 'Cultivated Crops' cover classes; codes 21 through 24, 81, and 82 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in U-Index1; negative values denote a decrease in U-Index1. Equation used: (2019 U-Index1 Area in HCZ - 2001 U-Index1 Area in HCZ)/HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Hydrologically Connected Zone (June 2022 version)"]
[228,"Stressor","Human Use Land Cover (All Types)","% U-Index1 Change in Riparian Zone in HUC12 (2001-19)","U_INDEX_CHG_RZ_PCT_HUC12","Change in the percentage of the HUC12 with human use land cover (excluding barren land) in the Riparian Zone (RZ) from 2001 to 2019. Source data were the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Human use cover classes included in the U-Index1 are 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', 'Developed, High Intensity', 'Pasture/Hay', and 'Cultivated Crops' cover classes; codes 21 through 24, 81, and 82 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in U-Index1; negative values denote a decrease in U-Index1. Equation used: (2019 U-Index1 Area in RZ - 2001 U-Index1 Area in RZ)/HUC12 Area * 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[229,"Stressor","Human Use Land Cover (All Types)","% U-Index1 Contiguous to Water in HUC12","U_INDEX_CONTIG_WATR_PCT_HUC12","Percent of the HUC12 that is classified as a human land use (excluding barren land) and contiguous to surface water. This indicator does not count areas with human use land cover that are buffered from surface water by other land use types. Source data were the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus) and the Water Mask map layer (June 2022 version). Human use land cover classes in the U-Index1 include cropland, pasture, and urban; codes 21 through 24, and 81 through 82 in the NLCD 2019 Land Cover dataset. Equation used: U-Index1 Contiguous to Water Area / HUC12 Area * 100. See also Water Mask glossary definition.","National Land Cover Database 2019 (NLCD 2019; June 4, 2021 version); Water Mask (June 2022 version)"]
[230,"Stressor","Human Use Land Cover (All Types)","% U-Index2 in HUC12","U_INDEX2_PCT_HUC12","Percent of the HUC12 classified as a human land use (including barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Human use land cover classes in the U-Index2 include barren, cropland, pasture, and urban; codes 21 through 24, and 31, 81, 82 in the NLCD 2019 Land Cover dataset. Equation used: U-Index2 Area / HUC12 Area * 100. \n","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version)"]
[231,"Stressor","Human Use Land Cover (All Types)","% U-Index2 in Hydro-Connected Zone in HUC12","U_INDEX2_HCZ_PCT_HUC12","Percent of the HUC12 that is in the Hydrologically Connected Zone (HCZ) and classified as a human land use (including barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Human use land cover classes in the U-Index2 include barren, cropland, pasture, and urban; codes 21 through 24, and 31, 81, 82 in the NLCD 2019 Land Cover dataset. Equation used: Area of U-Index2 in HCZ / HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Hydrologically Connected Zone (June 2022 Version)"]
[232,"Stressor","Human Use Land Cover (All Types)","% U-index2 in Riparian Zone in HUC12","U_INDEX2_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone (RZ) and classified as a human land use (including barren land) by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). Human use land cover classes in the U-Index2 include barren, cropland, pasture, and urban; codes 21 through 24, and 31, 81, 82 in the NLCD 2019 Land Cover dataset. Equation used: Area of U-Index2 2 in RZ / HUC12 Area * 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[233,"Stressor","Human Use Land Cover (All Types)","% U-Index2 Change in HUC12 (2001-19)","U_INDEX2_CHG_PCT_HUC12","Change in the percentage of the HUC12 with human use land cover (including barren land) from 2001 to 2019. Source data were the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Human use cover classes included in the U-Index2 are 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', 'Developed, High Intensity', 'Barren Land (Rock/Sand/Clay)', 'Pasture/Hay', and 'Cultivated Crops' cover classes; codes 21 through 24, 31, 81, and 82 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in U-Index2; negative values denote a decrease in U-Index2. Equation used: (2019 U-Index2 Area in HUC12 - 2001 U-Index2 Area in HUC12)/HUC12 Area * 100.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version)"]
[234,"Stressor","Human Use Land Cover (All Types)","% U-Index2 Change in Hydro-Connected Zone in HUC12 (2001-19)","U_INDEX2_CHG_HCZ_PCT_HUC12","Change in the percentage of the HUC12 with human use land cover (including barren land) in the Hydrologically Connected Zone (HCZ) from 2001 to 2019. Source data were the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Human use cover classes included in the U-Index2 are Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', 'Developed, High Intensity', 'Barren Land (Rock/Sand/Clay)', 'Pasture/Hay', and 'Cultivated Crops' cover classes; codes 21 through 24, 31, 81, and 82 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in U-Index2; negative values denote a decrease in U-Index2. Equation used: (2019 U-Index2 Area in HCZ - 2001 U-Index2 Area in HCZ)/HUC12 Area * 100. See also Hydrologically Connected Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Hydrologically Connected Zone (June 2022 version)"]
[235,"Stressor","Human Use Land Cover (All Types)","% U-Index2 Change in Riparian Zone in HUC12 (2001-19)","U_INDEX2_CHG_RZ_PCT_HUC12","Change in the percentage of the HUC12 with human use land cover (including barren land) in the Riparian Zone (RZ) from 2001 to 2019. Source data were the National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version; https://www.mrlc.gov/data). Human use cover classes included in the U-Index2 are 'Developed, Open Space', 'Developed, Low Intensity', 'Developed, Medium Intensity', 'Developed, High Intensity', 'Barren Land (Rock/Sand/Clay)', 'Pasture/Hay', and 'Cultivated Crops' cover classes; codes 21 through 24, 31, 81, and 82 in the 2001 and 2019 Land Cover datasets. Positive values denote an increase in U-Index2; negative values denote a decrease in U-Index2. Equation used: (2019 U-Index2 Area in RZ - 2001 U-Index2 Area in RZ)/HUC12 Area * 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2001 and 2019 Land Cover Datasets (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[236,"Stressor","Human Use Land Cover (All Types)","% U-Index2 Contiguous to Water in HUC12","U_INDEX2_CONTIG_WATR_PCT_HUC12","Percent of the HUC12 that is classified as a human land use (including barren land) and contiguous to surface water. This indicator does not count areas with human use land cover that are buffered from surface water by other land use types. Source data were the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus) and the Water Mask map layer (June 2022 version). Human use land cover classes in the U-Index1 include barren, cropland, pasture, and urban; codes 21 through 24, 31, and 81 through 82 in the NLCD 2019 Land Cover dataset. Equation used: U-Index2 Contiguous to Water Area / HUC12 Area * 100. See also Water Mask glossary definition.","National Land Cover Database 2019 (NLCD 2019; June 4, 2021 version); Water Mask (June 2022 version)"]
[237,"Stressor","Human Use Land Cover (All Types)","% High Intensity Land Cover in Riparian Zone in HUC12","HIGH_LANDUSE_RZ_PCT_HUC12","Percent of the HUC12 that is in the Riparian Zone and classified as high-intensity land cover by the National Land Cover Database (NLCD) 2019 Land Cover dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-land-cover-conus). High-intensity land cover classes are defined as cultivated crops (non-pasture agriculture), medium-density urban, and high-density urban; codes 23, 24, and 82 in the NLCD 2019 Land Cover dataset. Calculated as the sum cultivated crop, medium-density urban, and high-density urban area in the Riparian Zone, divided by HUC12 area, multiplied by 100. See also Riparian Zone glossary definition.","National Land Cover Database (NLCD) 2019 Land Cover (June 4, 2021 version); Riparian Zone (June 2022 Version)"]
[238,"Stressor","Roads & Railways","Road Length in HUC12","ROADS_ALL_LENGTH_HUC12","Length of all roads in the HUC12 (kilometers). Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of road grid pixels in the HUC12 divided by pixel length. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[239,"Stressor","Roads & Railways","Road Density in HUC12","ROADS_ALL_DENSITY_HUC12","Density of all roads in the HUC12 (kilometer per square kilometer). Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of road grid pixels in the HUC12 divided by pixel length. Road density was calculated as: Road Length / HUC12 Area. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[240,"Stressor","Roads & Railways","Road & Rail Length in HUC12","ROADS_RAILS_LENGTH_HUC12","Length of all roads and railroads in the HUC12 (kilometers). Source data used was the 2015 TIGER Roads National Geodatabase and the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road/rail features in each geodatabase were converted to a 10 meter resolution grid and road/rail length was calculated as the area of road/rail grid pixels in the HUC12 divided by pixel length. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length.","US Census Bureau TIGER Roads National Geodatabase (2015 version); TIGER Rails National Geodatabase (2015 version)"]
[241,"Stressor","Roads & Railways","Road & Rail Density in HUC12","ROADS_RAILS_DENSITY_HUC12","Density of all roads and railroads in the HUC12 (kilometer per square kilometer). Source data used was the 2015 TIGER Roads National Geodatabase and the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road/rail features in each geodatabase were converted to a 10 meter resolution grid and road/rail length was calculated as the area of road/rail grid pixels in the HUC12 divided by pixel length. Road and railroad density was calculated as: (Road Length + Railroad Length) / HUC12 Area. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length.","US Census Bureau TIGER Roads National Geodatabase (2015 version); TIGER Rails National Geodatabase (2015 version)"]
[242,"Stressor","Roads & Railways","Primary Road Length in HUC12","ROADS_PRIMARY_LENGTH_HUC12","Length of primary roads in the HUC12 (kilometers). Primary roads are divided highways within the interstate highway system or under state management, and are distinguished by the presence of interchanges and ramps for entrance/exit. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of primary road grid pixels in the HUC12 divided by pixel length. Primary roads have MTFCC code equal to S1100 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[243,"Stressor","Roads & Railways","Primary Road Density in HUC12","ROADS_PRIMARY_DENSITY_HUC12","Density of primary roads in the HUC12 (kilometer per square kilometer). Primary roads are divided highways within the interstate highway system or under state management, and are distinguished by the presence of interchanges and ramps for entrance/exit. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of primary road grid pixels in the HUC12 divided by pixel length. Primary road density was calculated as: Primary Road Length / HUC12 Area. Primary roads have MTFCC code equal to S1100 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[244,"Stressor","Roads & Railways","Secondary Road Length in HUC12","ROADS_SECONDARY_LENGTH_HUC12","Length of secondary roads in the HUC12 (kilometers). Secondary roads are main arteries with one or more lanes of traffic in each direction that may be divided, usually have intersections with many other roads and driveways, and are usually in the U.S. Highway, State Highway or County Highway system. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of secondary road grid pixels in the HUC12 divided by pixel length. Secondary roads have MTFCC code equal to S1200 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[245,"Stressor","Roads & Railways","Secondary Road Density in HUC12","ROADS_SECONDARY_DENSITY_HUC12","Density of secondary roads in the HUC12 (kilometer per square kilometer). Secondary roads are main arteries with one or more lanes of traffic in each direction that may be divided, usually have intersections with many other roads and driveways, and are usually in the U.S. Highway, State Highway or County Highway system. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of secondary road grid pixels in the HUC12 divided by pixel length. Secondary road density was calculated as: Secondary Road Length / HUC12 Area. Secondary roads have MTFCC code equal to S1200 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[246,"Stressor","Roads & Railways","Local Road Length in HUC12","ROADS_LOCAL_LENGTH_HUC12","Length of local roads in the HUC12 (kilometers). Local roads are a paved non-arterial street, road, or byway that usually has a single lane of traffic in each direction and may be privately or publicly maintained. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of local road grid pixels in the HUC12 divided by pixel length. Local roads have MTFCC code equal to S1400 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[247,"Stressor","Roads & Railways","Local Road Density in HUC12","ROADS_LOCAL_DENSITY_HUC12","Density of local roads in the HUC12 (kilometer per square kilometer). Local roads are a paved non-arterial street, road, or byway that usually has a single lane of traffic in each direction and may be privately or publicly maintained. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of local road grid pixels in the HUC12 divided by pixel length. Local road density was calculated as: Local Road Length / HUC12 Area. Local roads have MTFCC code equal to S1400 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[248,"Stressor","Roads & Railways","Minor Roads/Trails in HUC12","ROADS_MINOR_LENGTH_HUC12","Length of minor roads in the HUC12 (kilometers). Minor roads include unpaved dirt trails for four-wheel drive vehicles, access ramps to highways, service roads along highways, alleys, private roads, and parking lot roads. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of minor road grid pixels in the HUC12 divided by pixel length. Minor roads have MTFCC code equal to S1500, S1630, S1640, S1730, S1740, or S1780 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[249,"Stressor","Roads & Railways","Minor Road/Trail Density in HUC12","ROADS_MINOR_DENSITY_HUC12","Density of minor roads in the HUC12 (kilometer per square kilometer). Minor roads include unpaved dirt trails for four-wheel drive vehicles, access ramps to highways, service roads along highways, alleys, private roads, and parking lot roads. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of minor road grid pixels in the HUC12 divided by pixel length. Minor road density was calculated as: Minor Road Length / HUC12 Area. Minor roads have MTFCC code equal to S1500, S1630, S1640, S1730, S1740, or S1780 in the 2015 TIGER Roads National Geodatabase.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[250,"Stressor","Roads & Railways","Railroad Length in HUC12","RAILS_LENGTH_HUC12","Length of railroads in the HUC12 (kilometers). Source data used was the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear rail features in the geodatabase were converted to a 10 meter resolution grid and rail length was calculated as the area of rail grid pixels in the HUC12 divided by pixel length. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length.","US Census Bureau TIGER Rails National Geodatabase (2015 version)"]
[251,"Stressor","Roads & Railways","Railroad Density in HUC12","RAILS_DENSITY_HUC12","Density of railroads in the HUC12 (kilometer per square kilometer). Source data used was the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear rail features in the geodatabase were converted to a 10 meter resolution grid and rail length was calculated as the area of rail grid pixels in the HUC12 divided by pixel length. Railroad density was calculated as: Railroad Length / HUC12 Area. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length.","US Census Bureau TIGER Rails National Geodatabase (2015 version)"]
[252,"Stressor","Roads & Railways","Road Length in Riparian Zone in HUC12","ROADS_ALL_LENGTH_RZ_HUC12","Length of all roads in the Riparian Zone (RZ) of the HUC12 (kilometers). Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of road grid pixels in the RZ divided by pixel length. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted. See also Riparian Zone glossary definition.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[253,"Stressor","Roads & Railways","Road Density in Riparian Zone in HUC12","ROADS_ALL_DENSITY_RZ_HUC12","Density of all roads in the Riparian Zone (RZ) of the HUC12 (kilometer per square kilometer). Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of road grid pixels in the RZ divided by pixel length. Road density in the RZ was calculated as: Road Length in RZ / RZ Area. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted. A 2011 version of the Riparian Zone dataset was used for this indicator. See also Riparian Zone glossary definition.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[254,"Stressor","Roads & Railways","Road & Rail Length in Riparian Zone in HUC12","ROADS_RAILS_LENGTH_RZ_HUC12","Length of all roads and railroads in the Riparian Zone (RZ) of the HUC12 (kilometers). Source data used was the 2015 TIGER Roads National Geodatabase and the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road/rail features in each geodatabase were converted to a 10 meter resolution grid and road/rail length was calculated as the area of road/rail grid pixels in the RZ divided by pixel length. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length. See also Riparian Zone glossary definition.","US Census Bureau TIGER Roads National Geodatabase (2015 version); TIGER Rails National Geodatabase (2015 version)"]
[255,"Stressor","Roads & Railways","Road & Rail Density in Riparian Zone in HUC12","ROADS_RAILS_DENSITY_RZ_HUC12","Density of all roads and railroads in the Riparian Zone of the HUC12 (kilometer per square kilometer). Source data used was the 2015 TIGER Roads National Geodatabase and the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road/rail features in each geodatabase were converted to a 10 meter resolution grid and road/rail length was calculated as the area of road/rail grid pixels in the RZ divided by pixel length. Road and railroad density in the RZ was calculated as: (Road Length in RZ + Railroad Length in RZ) / RZ Area. Includes roads with MTFCC code equal to S1100 (primary road), S1200 (secondary road), S1400 (local road), S1500 (vehicular trail), S1630 (ramp), S1640 (service drive), S1730 (alley), S1740 (private road), or S1780 (parking lot road) in the 2015 TIGER Roads National Geodatabase. Features with MTFCC code equal to S1710 (walkway), S1720 (stairway), S1820 (bike path), S1830 (bridle path), and S2000 (unpaved median) were classified as non-road features and not counted. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length. A 2011 version of the Riparian Zone dataset was used for this indicator. See also Riparian Zone glossary definition.","US Census Bureau TIGER Roads National Geodatabase (2015 version); TIGER Rails National Geodatabase (2015 version)"]
[256,"Stressor","Roads & Railways","Primary Road Length in Riparian Zone in HUC12","ROADS_PRIMARY_LENGTH_RZ_HUC12","Length of primary roads in the Riparian Zone (RZ) of the HUC12 (kilometers). Primary roads are divided highways within the interstate highway system or under state management, and are distinguished by the presence of interchanges and ramps for entrance/exit. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of primary road grid pixels in the RZ divided by pixel length. Primary roads have MTFCC code equal to S1100 in the 2015 TIGER Roads National Geodatabase. See also Riparian Zone glossary definition.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[257,"Stressor","Roads & Railways","Primary Road Density in Riparian Zone in HUC12","ROADS_PRIMARY_DENSITY_RZ_HUC12","Density of primary roads in the Riparian Zone (RZ) of the HUC12 (kilometer per square kilometer). Primary roads are divided highways within the interstate highway system or under state management, and are distinguished by the presence of interchanges and ramps for entrance/exit. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of primary road grid pixels in the RZ divided by pixel length. Primary road density in the RZ was calculated as: Primary Road Length in RZ / RZ Area. Primary roads have MTFCC code equal to S1100 in the 2015 TIGER Roads National Geodatabase. See also Riparian Zone glossary definition.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[258,"Stressor","Roads & Railways","Secondary Road Length in Riparian Zone in HUC12","ROADS_SECNDRY_LENGTH_RZ_HUC12","Length of secondary roads in the Riparian Zone (RZ) of the HUC12 (kilometers). Secondary roads are main arteries with one or more lanes of traffic in each direction that may be divided, usually have intersections with many other roads and driveways, and are usually in the U.S. Highway, State Highway or County Highway system. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of secondary road grid pixels in the RZ divided by pixel length. Secondary roads have MTFCC code equal to S1200 in the 2015 TIGER Roads National Geodatabase. See also Riparian Zone glossary definition.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[259,"Stressor","Roads & Railways","Secondary Road Density in Riparian Zone in HUC12","ROADS_SECNDRY_DENSITY_RZ_HUC12","Density of secondary roads in the Riparian Zone (RZ) of the HUC12 (kilometer per square kilometer). Secondary roads are main arteries with one or more lanes of traffic in each direction that may be divided, usually have intersections with many other roads and driveways, and are usually in the U.S. Highway, State Highway or County Highway system. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of secondary road grid pixels in the RZ divided by pixel length. Secondary road density in the RZ was calculated as: Secondary Road Length in RZ / RZ Area. Secondary roads have MTFCC code equal to S1200 in the 2015 TIGER Roads National Geodatabase. See also Riparian Zone glossary definition.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[260,"Stressor","Roads & Railways","Local Road Length in Riparian Zone in HUC12","ROADS_LOCAL_LENGTH_RZ_HUC12","Length of local roads in Riparian Zone (RZ) of the HUC12 (kilometers). Local roads are a paved non-arterial street, road, or byway that usually has a single lane of traffic in each direction and may be privately or publicly maintained. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of local road grid pixels in the RZ divided by pixel length. Local roads have MTFCC code equal to S1400 in the 2015 TIGER Roads National Geodatabase. See also Riparian Zone glossary definition.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[261,"Stressor","Roads & Railways","Local Road Density in Riparian Zone in HUC12","ROADS_LOCAL_DENSITY_RZ_HUC12","Density of local roads in the Riparian Zone (RZ) of the HUC12 (kilometer per square kilometer). Local roads are a paved non-arterial street, road, or byway that usually has a single lane of traffic in each direction and may be privately or publicly maintained. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of local road grid pixels in the RZ divided by pixel length. Local road density in the RZ was calculated as: Local Road Length in RZ / RZ Area. Local roads have MTFCC code equal to S1400 in the 2015 TIGER Roads National Geodatabase. See also Riparian Zone glossary definition.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[262,"Stressor","Roads & Railways","Minor Road/Trail Length in Riparian Zone in HUC12","ROADS_MINOR_LENGTH_RZ_HUC12","Length of minor roads in the Riparian Zone (RZ) of the HUC12 (kilometers). Minor roads include unpaved dirt trails for four-wheel drive vehicles, access ramps to highways, service roads along highways, alleys, private roads, and parking lot roads. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of minor road grid pixels in the RZ divided by pixel length. Minor roads have MTFCC code equal to S1500, S1630, S1640, S1730, S1740, or S1780 in the 2015 TIGER Roads National Geodatabase. See also Riparian Zone glossary definition.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[263,"Stressor","Roads & Railways","Minor Road/Trail Density in Riparian Zone in HUC12","ROADS_MINOR_DENSITY_RZ_HUC12","Density of minor roads in the Riparian Zone (RZ) of the HUC12 (kilometer per square kilometer). Minor roads include unpaved dirt trails for four-wheel drive vehicles, access ramps to highways, service roads along highways, alleys, private roads, and parking lot roads. Source data used was the 2015 TIGER Roads National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear road features in the geodatabase were converted to a 10 meter resolution grid and road length was calculated as the area of minor road grid pixels in the RZ divided by pixel length. Minor road density in the RZ was calculated as: Minor Road Length in RZ / RZ Area. Minor roads have MTFCC code equal to S1500, S1630, S1640, S1730, S1740, or S1780 in the 2015 TIGER Roads National Geodatabase. See also Riparian Zone glossary definition.","US Census Bureau TIGER Roads National Geodatabase (2015 version)"]
[264,"Stressor","Roads & Railways","Railroad Length in Riparian Zone in HUC12","RAILS_LENGTH_RZ_HUC12","Length of railroads in the Riparian Zone (RZ) of the HUC12 (kilometers). Source data used was the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear rail features in the geodatabase were converted to a 10 meter resolution grid and rail length was calculated as the area of rail grid pixels in the RZ divided by pixel length. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length. See also Riparian Zone glossary definition.","US Census Bureau TIGER Rails National Geodatabase (2015 version)"]
[265,"Stressor","Roads & Railways","Railroad Density in Riparian Zone in HUC12","RAILS_DENSITY_RZ_HUC12","Density of railroads in the Riparian Zone (RZ) of the HUC12 (kilometer per square kilometer). Source data used was the 2015 TIGER Rails National Geodatabase from the US Census Bureau (https://www.census.gov/geo/maps-data/data/tiger-geodatabases.html; downloaded March 2016). Linear rail features in the geodatabase were converted to a 10 meter resolution grid and rail length was calculated as the area of rail grid pixels in the HUC12 divided by pixel length. Railroad density in the RZ was calculated as: Railroad Length in RZ / HUC12 Area. All features in the 2015 TIGER Rails National Geodatabase are counted in railroad length. See also Riparian Zone glossary definition.","US Census Bureau TIGER Rails National Geodatabase (2015 version)"]
[266,"Stressor","Roads & Railways","Road-Stream Crossing Count in HUC12","ROAD_STRM_CROSS_CNT_HUC12","Number of road-stream crossings in the HUC12. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid"]
[267,"Stressor","Roads & Railways","Road-Stream Crossing Density in HUC12","ROAD_STRM_CROSS_DENS_HUC12","Density of road-stream crossings in the HUC12 (number of crossings per square kilometer). Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php). Equation used: Number of Road-Stream Crossings / HUC12 Area.","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid"]
[268,"Stressor","Roads & Railways","Road-Stream Crossing Count in HUC12, 1st Order","ROAD_STRM_CROSS_SO1_CNT_HUC12","Number of road-stream crossings over 1st order streams in the HUC12. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables"]
[269,"Stressor","Roads & Railways","Road-Stream Crossing Count in HUC12, 2nd Order","ROAD_STRM_CROSS_SO2_CNT_HUC12","Number of road-stream crossings over 2nd order streams in the HUC12. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables"]
[270,"Stressor","Roads & Railways","Road-Stream Crossing Count in HUC12, 3rd Order","ROAD_STRM_CROSS_SO3_CNT_HUC12","Number of road-stream crossings over 3rd order streams in the HUC12. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables"]
[271,"Stressor","Roads & Railways","Road-Stream Crossing Count in HUC12, 4th Order","ROAD_STRM_CROSS_SO4_CNT_HUC12","Number of road-stream crossings over 4th order streams in the HUC12. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables"]
[272,"Stressor","Roads & Railways","Road-Stream Crossing Count in HUC12, 5th Order","ROAD_STRM_CROSS_SO5_CNT_HUC12","Number of road-stream crossings over 5th order streams in the HUC12. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables"]
[273,"Stressor","Roads & Railways","Road-Stream Crossing Count in HUC12, 6th Order","ROAD_STRM_CROSS_SO6_CNT_HUC12","Number of road-stream crossings over 6th order streams in the HUC12. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables"]
[274,"Stressor","Roads & Railways","Road-Stream Crossing Count in HUC12, 7th Order","ROAD_STRM_CROSS_SO7_CNT_HUC12","Number of road-stream crossings over 7th order streams in the HUC12. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables"]
[275,"Stressor","Roads & Railways","Road-Stream Crossing Count in HUC12, 8th Order","ROAD_STRM_CROSS_SO8_CNT_HUC12","Number of road-stream crossings over 8th order streams in the HUC12. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables"]
[276,"Stressor","Roads & Railways","Road-Stream Crossing Count in HUC12, 9th Order","ROAD_STRM_CROSS_SO9_CNT_HUC12","Number of road-stream crossings over 9th order streams in the HUC12. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables"]
[277,"Stressor","Roads & Railways","Road-Stream Crossing Count in HUC12, 1st-3rd Order","ROAD_STRM_CROSS_SO13_CNT_HUC12","Number of road-stream crossings over 1st through 3rd order streams in the HUC12. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables"]
[278,"Stressor","Roads & Railways","Road-Stream Crossing Count in HUC12, 4th-9th Order","ROAD_STRM_CROSS_SO49_CNT_HUC12","Number of road-stream crossings over 4th through 9th order streams in the HUC12. Stream order describes the position of a stream reach in the stream network, with reaches sequentially numbered from 1st order headwaters to 9th order large rivers. Source data were the US Census Bureau TIGER Roads National Geodatabase (2015 version) and the NHDPlus2 CatSeed grid and Value Added Attributes (VAA) tables (downloaded October 2012; http://www.horizon-systems.com/NHDPlus/NHDPlusV2_data.php).","US Census Bureau TIGER Roads National Geodatabase (2015 version); NHDPlus2 Catseed Grid; NHDPlus2 PlusFlowlineVAA tables"]
[279,"Stressor","Roads & Railways","Traffic Density in HUC12","TRAFFIC_DENSITY_HUC12","Average daily traffic density in the HUC12 (number of vehicles per day). Measured from information in the Department of Transportation Highway Performance Monitoring System (HPMS). The HPMS reports average daily traffic volume (number of vehicles) for each road segment in the database. Traffic density is calculated as the total traffic volume adjusted by road segment length, divided by the total road length in the HUC12. All road types in the HPMS were included in the analysis, from interstates to local roads (FSYS1 to FSYS6). Source data was the October 21, 2020 version of the HPMS (https://data-usdot.opendata.arcgis.com/datasets/highway-performance-monitoring-system-fsys-1). Calculated for each HUC12 as: [Sum of (Road Segment Length x Road Segment Average Daily Traffic )] / Total Road Segment Length. Traffic density was set to 0 for HUC12s with very low total road length (less than 1.5 kilometers or about 1 mile).","US Department of Transportation Highway Performance Monitoring System (HPMS) (October 21, 2020 version)"]
[280,"Stressor","Impervious Cover","% Impervious Cover in HUC12","IMP_COV_PCT_HUC12","Percent of the HUC12 with developed impervious surface cover. Calculated from the National Land Cover Database 2019 (NLCD 2019) Percent Developed Impervious dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Calculated as the area of impervious surface cover in the HUC12 divided by HUC12 area, multiplied by 100.","NLCD 2019 Percent Developed Imperviousness (June 4, 2021 version)"]
[281,"Stressor","Impervious Cover","% of HUC12 with >5% Impervious Cover","IMP_COV_OVER5_PCT_HUC12","Percent of the HUC12 with at least 5% impervious cover. Calculated from the National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Calculated as the area of grid pixels with greater than or equal to 5% impervious cover, divided by HUC12 area, multiplied by 100.","National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness (June 4, 2021 version)"]
[282,"Stressor","Impervious Cover","% of HUC12 with >15% Impervious Cover","IMP_COV_OVER15_PCT_HUC12","Percent of the HUC12 with at least 15% impervious cover. Source data was the National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Calculated as the area of grid pixels with greater than or equal to 15% impervious cover, divided by HUC12 area, multiplied by 100.","National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness (June 4, 2021 version)"]
[283,"Stressor","Impervious Cover","Proximity of Waters to >5% Impervious Cover in HUC12","IMP_COV_PROXIMITY5_HUC12","Relative proximity of areas with at least 5% impervious cover in the HUC12 to streams and lakeshores. Higher values imply that impervious cover in the HUC12 is more concentrated near surface waters. Impervious surface cover was determined from the National Land Cover Database 2019 Percent Developed Imperviousness dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Streams and lakeshores were determined from the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Lakeshores were defined as the perimeter of polygon features with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the percentage of stream and lakeshore length in the HUC12 that is within 30 meters of areas with at least 5% impervious cover minus the percentage of the HUC12 with at least 5% impervious cover. See also NHD Snapshot glossary definition.","National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness (June 4, 2021 version)"]
[284,"Stressor","Impervious Cover","Proximity of Waters to >15% Impervious Cover in HUC12","IMP_COV_PROXIMITY15_HUC12","Relative proximity of areas with at least 15% impervious cover in the HUC12 to streams and lakeshores. Higher values imply that impervious cover in the HUC12 is more concentrated near surface waters. Impervious cover was determined from the National Land Cover Database (NLCD) 2019 Percent Developed Imperviousness dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Streams and lakeshores were determined from the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Lakeshores were defined as the perimeter of polygon features with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the percentage of stream and lakeshore length in the HUC12 that is within 30 meters of areas with  at least 15% impervious cover minus the percentage of the HUC12 with  at least 15% impervious cover. See also NHD Snapshot glossary definition.","National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness (June 4, 2021 version)"]
[285,"Stressor","Impervious Cover","% of Waters Near >5% Impervious Cover in HUC12","IMP_COV_WATER_NEAR5_PCT_HUC12","Percent of stream and lakeshore length in the HUC12 that is adjacent to areas with at least 5% impervious cover. Higher values correspond to greater prevalence of waters with developed corridors and shorelines. Impervious cover was determined from the National Land Cover Database (NLCD) 2019 Percent Developed Imperviousness dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Stream and lakeshore locations were determined from the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Lakeshores were defined as the perimeter of polygon features with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the length of streams and lakeshores in the HUC12 that are within 30 meters of grid pixels with at least 5% impervious cover, divided by total stream and lakeshore length in the HUC12, multiplied by 100. See also NHD Snapshot glossary definition.","National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness (June 4, 2021 version)"]
[286,"Stressor","Impervious Cover","% of Waters Near >15% Impervious Cover in HUC12","IMP_COV_WATER_NEAR15_PCT_HUC12","Percent of stream and lakeshore length in the HUC12 that is adjacent to areas with at least 15% impervious cover. Higher values correspond to greater prevalence of waters with developed corridors and shorelines. Impervious cover was determined from the National Land Cover Database (NLCD) 2019 Percent Developed Imperviousness dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Stream and lakeshore locations were determined from the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Lakeshores were defined as the perimeter of polygon features with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the length of streams and lakeshores in the HUC12 that are within 30 meters of grid pixels with at least 15% impervious cover, divided by total stream and lakeshore length in the HUC12, multiplied by 100. See also NHD Snapshot glossary definition.","National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness (June 4, 2021 version)"]
[287,"Stressor","Impervious Cover","% Streamlength Near >5% Impervious Cover in HUC12","IMP_COV_STRM_NEAR5_PCT_HUC12","Percent of streamlength in the HUC12 that is adjacent to areas with at least 5% impervious cover. Higher values correspond to greater prevalence of streams with developed corridors. Impervious cover was determined from the National Land Cover Database (NLCD) 2019 Percent Developed Imperviousness dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Stream locations were determined from the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features in the NHD Snapshot with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Calculated as the length of streams in the HUC12 within 30 meters of grid pixels with at least 5% impervious cover, divided by total streamlength in the HUC12, multiplied by 100. See also NHD Snapshot glossary definition.","National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness (June 4, 2021 version)"]
[288,"Stressor","Impervious Cover","% Streamlength Near >15% Impervious Cover in HUC12","IMP_COV_STRM_NEAR15_PCT_HUC12","Percent of streamlength in the HUC12 that is adjacent to areas with at least 15% impervious cover. Higher values correspond to greater prevalence of streams with developed corridors. Impervious cover was determined from the National Land Cover Database (NLCD) 2019 Percent Developed Imperviousness dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Stream locations were determined from the NHDPlus2 NHD Snapshot (downloaded June 2014). Streams were defined as linear features in the NHD Snapshot with FCODE (feature code) equal to 33400, 46000, 46003, 46006, or 46007; and polygon features with FCODE equal to 46003 or 46006. Calculated as the length of streams in the HUC12 within 30 meters of grid pixels with at least 15% impervious cover, divided by total streamlength in the HUC12, multiplied by 100. See also NHD Snapshot glossary definition.","National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness (June 4, 2021 version)"]
[289,"Stressor","Impervious Cover","% Lakeshore Near >5% Impervious Cover in HUC12","IMP_COV_LAKE_NEAR5_PCT_HUC12","Percent of lakeshore length in the HUC12 that is adjacent to areas with at least 5% impervious cover. Higher values correspond to greater prevalence of lakes, ponds, or reservoirs with developed shorelines. Impervious cover was determined from the National Land Cover Database (NLCD) 2019 Percent Developed Imperviousness dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Lakeshore locations were determined from the NHDPlus2 NHD Snapshot (downloaded June 2014). Lakeshores were defined as the perimeter of polygon features in the NHD Snapshot with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the length of lakeshores in the HUC12 that are within 30 meters of grid pixels with at least 5% impervious cover, divided by the total lakeshore length in the HUC12, multiplied by 100. See also NHD Snapshot glossary definition.","National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness (June 4, 2021 version)"]
[290,"Stressor","Impervious Cover","% Lakeshore Near >15% Impervious Cover in HUC12","IMP_COV_LAKE_NEAR15_PCT_HUC12","Percent of lakeshore length in the HUC12 that is adjacent to areas with at least 15% impervious cover. Higher values correspond to greater prevalence of lakes, ponds, or reservoirs with developed shorelines. Impervious cover was determined from the National Land Cover Database (NLCD) 2019 Percent Developed Imperviousness dataset (June 4, 2021 version; https://www.mrlc.gov/data/nlcd-2019-percent-developed-imperviousness-conus). Lakeshore locations were determined from the NHDPlus2 NHD Snapshot (downloaded June 2014). Lakeshores were defined as the perimeter of polygon features in the NHD Snapshot with FCODE (feature code) equal to 39001, 39004, 39009, 39010, 43600, or 43601. Calculated as the length of lakeshores in the HUC12 that are within 30 meters of grid pixels with at least 15% impervious cover, divided by the total lakeshore length in the HUC12, multiplied by 100. See also NHD Snapshot glossary definition.","National Land Cover Database 2019 (NLCD 2019) Percent Developed Imperviousness (June 4, 2021 version)"]
[291,"Stressor","Mining Activity","Mining Site Density in HUC12","MINE_DENSITY_HUC12","Density of all coal mines, coal mining support activity sites, mineral mines, and mineral processing plants in the HUC12 (count per square kilometer). Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points in the mine location database in the HUC12 divided by HUC12 area.","Mineral and coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators)"]
[292,"Stressor","Mining Activity","Mining Site Count in HUC12","MINE_COUNT_HUC12","Count of all coal mines, coal mining support activity sites, mineral mines, and mineral processing plants in the HUC12. Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points in the mine location database in the HUC12.","Mineral and coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators)"]
[293,"Stressor","Mining Activity","Coal Mining Site Density in HUC12","COAL_DENSITY_HUC12","Density of major and minor coal mines and associated support activity sites in the HUC12 (count per square kilometer). Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as major or minor coal mines in the HUC12 divided by HUC12 area.","Coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators)"]
[294,"Stressor","Mining Activity","Coal Mining Site Count in HUC12","COAL_COUNT_HUC12","Count of major and minor coal mines and associated support activity sites in the HUC12. Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as major or minor coal mines in the HUC12.","Coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators)"]
[295,"Stressor","Mining Activity","Major Coal Mining Site Density in HUC12","COAL_MAJOR_DENSITY_HUC12","Density of major coal mines and associated support activity sites in the HUC12 (count per square kilometer). Source data used was the mine location database described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as major coal mines in the HUC12 divided by HUC12 area.","Coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators)"]
[296,"Stressor","Mining Activity","Major Coal Mining Site Count in HUC12","COAL_MAJOR_COUNT_HUC12","Count of major coal mines and associated support activity sites in the HUC12. Source data used was the mine location database described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as major coal mines in the HUC12.","Coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators)"]
[297,"Stressor","Mining Activity","Minor Coal Mining Site Density in HUC12","COAL_MINOR_DENSITY_HUC12","Density of minor coal mines and associated support activity sites in the HUC12 (count per square kilometer). Source data used was the mine location database described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as minor coal mines in the HUC12 divided by HUC12 area.","Coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators)"]
[298,"Stressor","Mining Activity","Minor Coal Mining Site Count in HUC12","COAL_MINOR_COUNT_HUC12","Count of minor coal mines and associated support activity sites in the HUC12. Source data used was the mine location database described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as minor coal mines in the HUC12.","Coal mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators)"]
[299,"Stressor","Mining Activity","Mineral Mining Site Density in HUC12","MINE_MINERAL_DENSITY_HUC12","Density of mineral mine sites and mineral processing plants in the HUC12 (count per square kilometer). Source data used was the mine location database described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as mineral mines and mineral processing plants in the HUC12 divided by HUC12 area.","Mineral mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators)"]
[300,"Stressor","Mining Activity","Mineral Mining Site Count in HUC12","MINE_MINERAL_COUNT_HUC12","Count of mineral mine sites and mineral processing plants in the HUC12. Source data used was the mine location database described in Daniel et al. 2015 (\"Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages\", Ecological Indicators), acquired via personal communication with Michigan State University in January 2015. Calculated as the number of points classified as mineral mines in the HUC12.","Mineral mine locations (points shapefile) acquired from Michigan State University, January 2015. Source data is described in Daniel et al. 2015 ('Characterizing Coal and Mineral Mines as a Regional Source of Stress to Stream Fish Assemblages', Ecological Indicators)"]
[301,"Stressor","Nutrient Application and Deposition","Manure Nitrogen Application in HUC12","N_MANURE_APP_HUC12","Average annual rate of nitrogen application to agricultural lands as animal manure in the HUC12 in 2006 (kilograms Nitrogen/hectare/year). Calculated by downscaling county-level estimates of recoverable manure application reported by the International Plant Nutrition Institute (IPNI) Nutrient Geographic Information System (NuGIS; http://www.ipni.net/nugis) using the 2006 National Land Cover Database (NLCD) Land Cover dataset. Recoverable manure is defined as manure that is collected, stored, and available for land application from livestock in confinement. County totals were evenly distributed to agricultural lands throughout the county, crop-specific differences were not considered. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B0A4E7DDE-5F54-4DB5-8688-6AB2B1C8AFE5%7D","EPA EnviroAtlas \"Manure Application to Agricultural Lands from Confined Animal Feeding Operations by 12-digit HUC for the Conterminous United States, 2006\" dataset (May 7, 2015 version)"]
[302,"Stressor","Nutrient Application and Deposition","Synthetic Fertilizer Nitrogen Application in HUC12","N_SYNTH_FERT_APP_HUC12","Average annual nitrogen application to agricultural lands as synthetic fertilizer in the HUC12 in 2006 (kilograms Nitrogen/hectare/year). Calculated by downscaling county-level fertilizer application estimates reported by US Geological Survey ('County-level Estimates of Nitrogen and Phosphorus from Commercial Fertilizer for the Conterminous United States, 1987-2006') using the 2006 National Land Cover Database (NLCD) Land Cover dataset. County totals were evenly distributed to agricultural lands throughout the county, crop-specific differences were not considered. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B09DF9B39-6CC8-4DFF-A14D-1BA14C06321F%7D","EPA EnviroAtlas \"Synthetic N Fertilizer Application to Agricultural Lands by 12-digit HUC in the Conterminous United States, 2006\" (May 7, 2015 version)"]
[303,"Stressor","Nutrient Application and Deposition","Manure Phosphorus Application in HUC12","P_MANURE_APP_HUC12","Average annual rate of phosphorus application to agricultural lands as animal manure in the HUC12 in 2012 (kilograms Phosphorus/hectare/year). Calculated by downscaling county-level estimates of recoverable manure application reported by the International Plant Nutrition Institute (IPNI) Nutrient Geographic Information System (NuGIS; http://www.ipni.net/nugis) using the USGS U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT) 2012 land cover data. Recoverable manure is defined as manure that is collected, stored, and available for land application from livestock in confinement. County totals were evenly distributed to agricultural lands throughout the county, crop-specific differences were not considered. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B1b54f913-4e36-482a-a670-69f19786a048%7D. See also EnviroAtlas glossary definition.","EPA Enviroatlas \"Phosphorus application as manure for 2012 by 12-digit HUC for the Conterminous United States\" (October 2016 version)"]
[304,"Stressor","Nutrient Application and Deposition","Synthetic Fertilizer Phosphorus Application in HUC12","P_SYNTH_FERT_APP_HUC12","Average annual rate of inorganic Phosphorus (P) fertilizer application on agricultural land in the HUC12 in 2012 (kilograms Phosphorus/hectare/year). Values are based on International Plant Nutrition Institute (IPNI) compilations of county and state fertilizer sales for 2012 and cropland area from the USGS U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT) 2012 land cover data. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B35ba485f-b30f-4d03-a5bc-11a4f0025904%7D. See also EnviroAtlas glossary definition.","EPA Enviroatlas \"Inorganic phosphorus fertilizer application for 2012 by 12-digit HUC for the Conterminous United States\" (October 2016 version)"]
[305,"Stressor","Nutrient Application and Deposition","Agricultural Phosphorus Balance in HUC12","P_AG_BALANCE_HUC12","Average annual Phosphorus (P) balance on croplands in the HUC12 (kilograms Phosphorus/hectare/year). The P balance is calculated as the difference between P inputs (inorganic fertilizer and confined manure) and P removal from crop harvest. The data are based on International Plant Nutrition Institute compilations of county-level fertilizer sales data, confined manure production, major crop harvest and P content of the crops, and cropland area from the USGS U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT) 2012 land cover data. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B286fa7ac-e638-4d2e-870a-eda4cbdd6481%7D. See also EnviroAtlas glossary definition.","EPA EnviroAtlas \"Agricultural phosphorus balance for 2012 by 12-digit HUC for the Conterminous United States\" (October 2016 version)"]
[306,"Stressor","Nutrient Application and Deposition","Total Nitrogen Deposition in HUC12","N_DEP_TOTAL_HUC12","Annual deposition of total nitrogen in the HUC12 in 2011 (kilograms per hectare). Includes both dry and wet deposition of total nitrogen. Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Agricultural phosphorus balance for 2012 by 12-digit HUC for the Conterminous United States\" (October 2016 version)"]
[307,"Stressor","Nutrient Application and Deposition","Oxidized Nitrogen Wet Deposition in HUC12","N_OX_WETDEP_HUC12","Annual wet deposition of oxidized nitrogen in the HUC12 in 2011 (kilograms per hectare). Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\" (April 29, 2016 version)"]
[308,"Stressor","Nutrient Application and Deposition","Oxidized Nitrogen Dry Deposition in HUC12","N_OX_DRYDEP_HUC12","Annual dry deposition of oxidized nitrogen in the HUC12 in 2011 (kilograms per hectare). Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\" (April 29, 2016 version)"]
[309,"Stressor","Nutrient Application and Deposition","Oxidized Nitrogen Total Deposition in HUC12","N_OX_TOTALDEP_HUC12","Annual deposition of oxidized nitrogen in the HUC12 in 2011 (kilograms per hectare). Includes both dry and wet deposition of oxidized nitrogen. Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\" (April 29, 2016 version)"]
[310,"Stressor","Nutrient Application and Deposition","Reduced Nitrogen Wet Deposition in HUC12","N_RED_WETDEP_HUC12","Annual wet deposition of reduced nitrogen in the HUC12 in 2011 (kilograms per hectare). Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\" (April 29, 2016 version)"]
[311,"Stressor","Nutrient Application and Deposition","Reduced Nitrogen Dry Deposition in HUC12","N_RED_DRYDEP_HUC12","Annual dry deposition of reduced nitrogen in the HUC12 in 2011 (kilograms per hectare). Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\" (April 29, 2016 version)"]
[312,"Stressor","Nutrient Application and Deposition","Reduced Nitrogen Total Deposition in HUC12","N_RED_TOTALDEP_HUC12","Annual deposition of reduced nitrogen in the HUC12 in 2011 (kilograms per hectare). Includes both dry and wet deposition of reduced nitrogen. Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\" (April 29, 2016 version)"]
[313,"Stressor","Nutrient Application and Deposition","Sulfur Wet Deposition in HUC12","SLF_WETDEP_HUC12","Annual wet deposition of sulfur in the HUC12 in 2011 (kilograms per hectare). Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\" (April 29, 2016 version)"]
[314,"Stressor","Nutrient Application and Deposition","Sulfur Dry Deposition in HUC12","SLF_DRYDEP_HUC12","Annual dry deposition of sulfur in the HUC12 in 2011 (kilograms per hectare). Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\" (April 29, 2016 version)"]
[315,"Stressor","Nutrient Application and Deposition","Sulfur Total Deposition in HUC12","SLF_TOTALDEP_HUC12","Annual deposition of sulfur in the HUC12 in 2011 (kilograms per hectare). Includes both dry and wet deposition of reduced sulfur. Source data was a 12-kilometer resolution grid of predicted 2011 nitrogen deposition from the Community Multiscale Air Quality modeling system (CMAQ) Version 5.0.2. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B284d232c-1067-453f-9e4a-3f16de42b1b4%7D","EPA EnviroAtlas \"Atmospheric Nitrogen and Sulfur Deposition by 12-digit HUC for the Conterminous United States (2011)\" (April 29, 2016 version)"]
[316,"Stressor","Livestock","Livestock Density in HUC12","ANIMAL_EQ_UNITS_HUC12","Density of livestock in the HUC12, measured in animal equivalent units (1000 pounds of animal weight per acre). Calculated as the sum of the weight of farmed dairy cattle, beef cattle, swine, sheep, horse, chicken, turkey, and ducks, divided by 1000, divided by HUC12 area. Livestock weights in each HUC12 were estimated from animal counts and an assumed average weight for each animal type. Source data for livestock counts were county-level livestock information in the 2012 USDA Census of Agriculture. Source data for average animal weights was \"ASAE standards: Standards, engineering practice, and data\" (American Society of Agricultural Engineers, 1998). This indicator was calculated using livestock counts from the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)"]
[317,"Stressor","Livestock","Beef Cattle Count in HUC12","BEEFCATTLE_CNT_HUC12","Count of beef cattle in the HUC12. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)"]
[318,"Stressor","Livestock","Dairy Cattle Count in HUC12","DAIRYCATTLE_CNT_HUC12","Count of dairy cattle in the HUC12. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)"]
[319,"Stressor","Livestock","All Cattle Count in HUC12","ALLCATTLE_CNT_HUC12","Count of all cattle (dairy and beef) in the HUC12. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)"]
[320,"Stressor","Livestock","Swine Count in HUC12","SWINE_CNT_HUC12","Count of swine in the HUC12. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)"]
[321,"Stressor","Livestock","Sheep Count in HUC12","SHEEP_CNT_HUC12","Count of sheep in the HUC12. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)"]
[322,"Stressor","Livestock","Horse Count in HUC12","HORSE_CNT_HUC12","Count of horses in the HUC12. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)"]
[323,"Stressor","Livestock","Chicken Count in HUC12","CHICKEN_CNT_HUC12","Count of chickens in the HUC12. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)"]
[324,"Stressor","Livestock","Turkey Count in HUC12","TURKEY_CNT_HUC12","Count of farmed turkeys in the HUC12. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)"]
[325,"Stressor","Livestock","Duck Count in HUC12","DUCK_CNT_HUC12","Count of farmed ducks in the HUC12. Estimated from county-level livestock information in the 2012 USDA Census of Agriculture (https://www.agcensus.usda.gov/). This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)"]
[326,"Stressor","Human Population","Population in HUC12","POPULATION_HUC12","Human population in the HUC12 (number of persons). Source data used was the EPA EnviroAtlas \"Dasymetric Population for the Conterminous United States\" raster (February 2015 version; https://enviroatlas.epa.gov/enviroatlas/DataFactSheets/pdf/Supplemental/DasymetricAllocationofPopulation.pdf). The dasymetric population raster is derived from 2010 US Census Bureau census block populations using a geospatial technique called dasymetric mapping. Dasymetric mapping uses information on land cover and slope to distribute populations to grid pixels within each census block.","EPA EnviroAtlas 'Dasymetric Population for the Conterminous United States' map layer (February 2015 version)"]
[327,"Stressor","Human Population","Population Density in HUC12","POPULATION_DEN_HUC12","Human population density in the land area of the HUC12 (persons per square kilometer). Source data used was the EPA EnviroAtlas 'Dasymetric Population for the Conterminous United States' raster (February 2015 version; https://enviroatlas.epa.gov/enviroatlas/DataFactSheets/pdf/Supplemental/DasymetricAllocationofPopulation.pdf). The dasymetric population raster is derived from 2010 US Census Bureau census block populations using a geospatial technique called dasymetric mapping. Dasymetric mapping uses information on land cover and slope to distribute populations to grid pixels within each census block. Equation used: Human Population in HUC12 / (HUC12 Area - Water Mask Area). See also Water Mask glossary definition.","EPA EnviroAtlas \"Dasymetric Population for the Conterminous United States\" map layer (February 2015 version)"]
[328,"Stressor","Human Population","Population in Riparian Zone in HUC12","POPULATION_RZ_HUC12","Human population in the Riparian Zone (RZ) of the HUC12 (number of persons). Source data used was the EPA EnviroAtlas \"Dasymetric Population for the Conterminous United States\" raster (February 2015 version; https://enviroatlas.epa.gov/enviroatlas/DataFactSheets/pdf/Supplemental/DasymetricAllocationofPopulation.pdf). The dasymetric population raster is derived from 2010 US Census Bureau census block populations using a geospatial technique called dasymetric mapping. Dasymetric mapping uses information on land cover and slope to distribute populations to grid pixels within each census block.","EPA EnviroAtlas 'Dasymetric Population for the Conterminous United States' map layer (February 2015 version); Riparian Zone (August 2015 Version)"]
[329,"Stressor","Human Population","Population Density in Riparian Zone in HUC12","POPULATION_DEN_RZ_HUC12","Human population density in the land area of the Riparian Zone (RZ) of the HUC12 (persons per square kilometer). Source data used was the EPA EnviroAtlas 'Dasymetric Population for the Conterminous United States' raster (February 2015 version; https://enviroatlas.epa.gov/enviroatlas/DataFactSheets/pdf/Supplemental/DasymetricAllocationofPopulation.pdf). The dasymetric population raster is derived from 2010 US Census Bureau census block populations using a geospatial technique called dasymetric mapping. Dasymetric mapping uses information on land cover and slope to distribute populations to grid pixels within each census block. Equation used: Human Population in RZ / (RZ Area - RZ Water Mask Area). A 2011 version of the Riparian Zone dataset was used for this indicator. See also Riparian Zone and Water Mask glossary definitions.","EPA EnviroAtlas \"Dasymetric Population for the Conterminous United States\" map layer (February 2015 version); Riparian Zone (August 2015 Version)"]
[330,"Stressor","Human Population","% Population in Riparian Zone in HUC12","POPULATION_RZ_PCT_HUC12","Percent of human population residing in the Riparian Zone (RZ) of the HUC12. Source data used was the EPA EnviroAtlas \"Dasymetric Population for the Conterminous United States\" raster (February 2015 version; https://enviroatlas.epa.gov/enviroatlas/DataFactSheets/pdf/Supplemental/DasymetricAllocationofPopulation.pdf). The dasymetric population raster is derived from 2010 US Census Bureau census block populations using a geospatial technique called dasymetric mapping. Dasymetric mapping uses information on land cover and slope to distribute populations to grid pixels within each census block. Equation used: Human Population in RZ / Human Population in HUC12 * 100. See also Riparian Zone glossary definition.","EPA EnviroAtlas 'Dasymetric Population for the Conterminous United States' map layer (February 2015 version); Riparian Zone (August 2015 Version)"]
[331,"Stressor","Human Population","Housing Unit Density in HUC12","HOUSING_UNIT_DENSITY_HUC12","Density of housing units in the HUC12 (housing units per square kilometer). A housing unit is defined as a house, apartment, mobile home or trailer, group of rooms, or single room that is intended for occupancy as separate living quarters. Source data was the EPA StreamCat 'Accumulated Attributes for NHDPlusV2 Catchments (Version 2.1) for the Conterminous United States: 2010 US Census Housing Unit and Population Density' dataset (ftp://newftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/HydroRegions/; downloaded March 2016). The StreamCat dataset reports housing unit density for NHDPlus2 catchments based on 2010 US Census housing unit densities for census block groups. Housing unity densities for NHDPlus2 catchments were aggregated to HUC12 values by calculating the area-weighted mean for catchments that intersect the HUC12. Additional information on the StreamCat housing density dataset can be found at: ftp://newftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/Documentation/Metadata/USCensus2010.html.","EPA StreamCat \"Accumulated Attributes for NHDPlusV2 Catchments (Version 2.1) for the Conterminous United States: 2010 US Census Housing Unit and Population Density\" dataset (2015 version)"]
[332,"Stressor","Hazardous Waste & Wastewater","Septic System Count in HUC12","SEPTIC_CNT_HUC12","Count of septic systems in the HUC12. Source data were 1992 and 1998 septic system surveys completed by the National Small Flows Clearinghouse. This indicator was calculated for the US EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version), additional information can be found at: http://it.tetratech-ffx.com/steplweb/stepldatahelp.htm.","EPA Spreadsheet Tool for Estimating Pollutant Load (STEPL) Input Data Server (October 2017 version)"]
[333,"Stressor","Hazardous Waste & Wastewater","NPDES Permit Count in HUC12","NPDES_PERMIT_CNT_HUC12","Count of National Pollutant Discharge Elimination System (NPDES) permits in the HUC12. NPDES permits are issued to regulate the discharge of pollutants into surface waters. Calculated from the NPDES map layer in the EPA Facility Registry Service national geodatabase of facilities or sites that subject to environmental regulation (March 2022 version; downloaded from https://edg.epa.gov/data/public/OEI/FRS/FRS_Interests_Download.zip; see also https://www.epa.gov/frs/geospatial-data-download-service). Calculated as the number of points in the NPDES map layer in the HUC12. Permits that had Permit Status Description equal to \"Admin Continued\", \"Effective\", or \"Expired\" were included; permits with Permit Status Description equal to \"Terminated\", \"Pending\", \"Not Needed\", or \"Null\" were not counted. Duplicate permits were addressed by removing points with duplicate entries of both the Registry ID and Source ID fields.","EPA Facility Registry Service (FRS) geodatabase (March 2022 version)"]
[334,"Stressor","Hazardous Waste & Wastewater","NPDES Major Permit Count in HUC12","NPDES_MAJ_PERMIT_CNT_HUC12","Count of Major National Pollutant Discharge Elimination System (NPDES) permits in the HUC12. NPDES permits are issued to regulate the discharge of pollutants into surface waters. Facilities with 'Major' designations discharge large volumes of wastewater or otherwise cause significant water quality impacts. Calculated from the NPDES_MAJOR map layer in the EPA Facility Registry Service national geodatabase of facilities or sites that subject to environmental regulation (March 2022 version; https://edg.epa.gov/data/public/OEI/FRS/FRS_Interests_Download.zip; see also https://www.epa.gov/frs/geospatial-data-download-service). Calculated as the number of points in the NPDES_MAJOR map layer in the HUC12. Permits that had Permit Status Description equal to \"Admin Continued\", \"Effective\", or \"Expired\" were included; permits with Permit Status Description equal to \"Terminated\", \"Pending\", \"Not Needed\", or \"Null\" were not counted. Duplicate permits were addressed by removing points with duplicate entries of both the Registry ID and Source ID fields.","EPA Facility Registry Service (FRS) geodatabase (March 2022 version)"]
[335,"Stressor","Hazardous Waste & Wastewater","NPDES Effluent Violations Count in HUC12","NPDES_EFF_VIOL_CNT_HUC12","Count of National Pollutant Discharge Elimination System (NPDES) permit effluent violations in the HUC12 between 2017 and 2021. NPDES permits are issued to regulate the discharge of pollutants into surface waters. NPDES permits often include numeric limits that specify an allowable quantity of pollutant discharge (for example, maximum allowable pollutant concentrations in wastewater discharge). Effluent violations occur when a facility discharges at a level that exceeds the limits established by an NPDES permit. Calculated from effluent violation data stored in the EPA Enforcement and Compliance History Online Database (March 2022 version; https://echo.epa.gov/files/echodownloads/npdes_eff_downloads.zip) and the NPDES map layer in the EPA Facility Registry Service national geodatabase of facilities or sites that subject to environmental regulation (March 2022 version; https://edg.epa.gov/data/public/OEI/FRS/FRS_Interests_Download.zip).","EPA Enforcment and Compliance History Online (ECHO) Database of Effluent Violations (March 2022 version)"]
[336,"Stressor","Hazardous Waste & Wastewater","Risk Management Plan Site Count in HUC12","RMP_SITE_CNT_HUC12","Count of sites with a Risk Management Plan in the HUC12. Risk Management Plan (RMP) sites are facilities that hold more than a threshold quantity of a regulated substance with potential human or environmental hazards, and are therefore required to create and implement a RMP under Section 112(r) of the Clean Air Act Amendments. The regulated substances and respective threshold quantities that require facilities to produce RMPs can be found at https://www.epa.gov/rmp/list-regulated-substances-under-risk-management-plan-rmp-program. Source data was a table of RMP sites with latitude/longitude coordinates acquired from the EPA Office of Emergency Management in January 2021. Calculated as the count of all RMP sites located within the HUC12.","Risk Management Plan site locations maintained by EPA Office of Emergency Management (acquired January 2021)"]
[337,"Stressor","Hazardous Waste & Wastewater","Hazardous Waste Management Site Count in HUC12","TSD_SITE_CNT_HUC12","Count of Hazardous Waste Treatment, Storage, or Disposal (TSD) facilities in the HUC12. TSD facilities are regulated under the Resource Conservation and Recovery Act (RCRA) and either hold hazardous waste (storage) or change the physical, chemical, or biological characteristics of waste to minimize its environmental threat (treatment and disposal). Source data was the US EPA Facility Registry Service (FRS; December 2020 version; https://www.epa.gov/frs/geospatial-data-download-service). Includes facilities identified as TSD facilities in the FRS with active status (INTEREST_TYPE = TSD and ACTIVE_STATUS = Y). Calculated using latitude and longitude coordinates in the FRS as the count of TSD facilities located in the HUC12. Facilities with missing coordinates in the FRS are not included in HUC12 counts.","EPA Facility Registry Service (FRS) geodatabase (December 2020 version)"]
[338,"Stressor","Hazardous Waste & Wastewater","Toxic Release Inventory Site Count in HUC12","TRI_SITE_COUNT_HUC12","Number of sites in the HUC12 that are in the EPA Toxics Release Inventory (TRI) database. The TRI stores information on certain facilities that handle toxic chemicals in amounts above established levels; including on-site or off-site land, air, or water disposal, recycling, energy recovery, or treatment. There are 770 individually listed chemicals and 33 chemical categories covered by the TRI Program. Source data was a map layer of TRI facilities in the EPA Facility Registry Service (FRS): Facility Interests Dataset (December 2020 version; https://www.epa.gov/frs/geospatial-data-download-service). Facilities reported as Inactive or Closed were not included in HUC12 counts and methods were applied to remove duplicate facilities in the dataset.","EPA Facility Registry Service (FRS) geodatabase (December 2020 version)"]
[339,"Stressor","Hazardous Waste & Wastewater","Toxic Release and Exposure Potential in HUC12","TOXIC_RISK_SUM_HUC12","The relative potential for toxic chemical release and human exposure in the HUC12. Higher values correspond to greater potential relative to other HUC12s for toxic release and exposure due to a combination of: the magnitude of chemical releases, the size of exposed populations, and the estimated dose of chemicals at points of human exposure. Quantified from 2015 to 2019 Risk-Screening Environmental Indicators (RSEI) Scores calculated by EPA for facilities that release toxic chemicals through air emissions or wastewater discharge. RSEI scores for all facilities nationwide were downloaded from the EasyRSEI database dashboard in December 2020; https://edap.epa.gov/public/extensions/EasyRSEI/EasyRSEI.html). RSEI scores were assigned to HUC12s using mapped locations of Toxics Release Inventory (TRI) facilities in the EPA Facility Registry Service (FRS): Facility Interests Dataset (December 2020 version; https://www.epa.gov/frs/geospatial-data-download-service). Calculated as the sum of 2015-2019 RSEI Scores for TRI facilities in each HUC12. See https://www.epa.gov/rsei/learn-about-rsei for more information on RSEI Scores, methods, and limitations.","EPA Risk-Screening Encironmental Indicators (RSEI) Scores (December 2020 Version); EPA Facility Registry Service (FRS) geodatabase (December 2020 version)"]
[340,"Stressor","Hazardous Waste & Wastewater","Superfund Site Count in HUC12","SUPERFUND_SITE_COUNT_HUC12","Number of sites in the HUC12 that are in the EPA Superfund Program. The Superfund program is responsible for cleaning up the nation's most contaminated land and responding to environmental emergencies, oil spills and natural disasters. Source data was a map layer of Superfund sites in the EPA Facility Registry Service (FRS): Facility Interests Dataset (December 2020 version; https://www.epa.gov/frs/geospatial-data-download-service). HUC12 counts include all Superfund sites, including National Priorities List (NPL) and non-NPL sites. Methods were applied to remove duplicate facilities in the dataset.","EPA Facility Registry Service (FRS) geodatabase (December 2020 version)"]
[341,"Stressor","Hydrologic Alteration","Dam Count in HUC12","DAM_CNT_HUC12","Count of dams in the HUC12. Calculated from the US Army Corps of Engineers National Inventory of Dams (https://nid.sec.usace.army.mil/#/downloads; April 2022 version). ","2022 National Inventory of Dams (downloaded April 2022)"]
[342,"Stressor","Hydrologic Alteration","Dam Density in HUC12","DAM_DENSITY_HUC12","Density of dams in the HUC12 (dam count per stream kilometer). Dam counts were calculated from the US Army Corps of Engineers National Inventory of Dams (https://nid.sec.usace.army.mil/#/downloads; April 2022 version). Stream length was calculated from the NHDPlus2 NHD Snapshot. Stream length calculations included all linear NHD Snapshot features in the HUC12 with FTYPE (feature type) equal to StreamRiver, CanalDitch, or Connector; linear features with FTYPE equal to ArtificialPath were only included if they pass through a NHDArea feature with FTYPE equal to StreamRiver. Calculated by dividing the count of dams in the HUC12 by streamlength in the HUC12. See also NHD Snapshot glossary definition.","2022 National Inventory of Dams (downloaded April 2022)"]
[343,"Stressor","Hydrologic Alteration","Dam Storage Volume in HUC12","DAM_STORAGE_HUC12","The storage volume of dams in the HUC12 (acre-feet of water). Calculated from the US Army Corps of Engineers National Inventory of Dams (https://nid.sec.usace.army.mil/#/downloads; April 2022 version). Dam storage volume was calculated by summing the normal storage volume reported by the National Inventory of Dams for dams located in the HUC12. For dams with normal storage volume reported as zero acre-feet, the maximum storage volume was used instead. Blank values indicate that the HUC12 contains a dam but does not have dam storage volume reported in the NID.","2022 National Inventory of Dams (downloaded April 2022)"]
[344,"Stressor","Hydrologic Alteration","Dam Storage Ratio in HUC12","DAM_STORAGE_RATIO_HUC12","The ratio of dam storage volume in the HUC12 to pre-development annual streamflow at the HUC12 outlet (acre-feet/acre-feet per year). Dam storage volume was calculated from the US Army Corps of Engineers National Inventory of Dams (https://nid.sec.usace.army.mil/#/downloads; April 2022 version). Dam storage volume was calculated by summing the normal storage volume reported by the National Inventory of Dams for dams located in the HUC12. For dams with normal storage volume reported as zero acre-feet, the maximum storage volume was used instead. Pre-development annual streamflow at the HUC12 outlet was determined from the NHDPlus2 Extended Unit Runoff Method (EROM) table (https://nhdplus.com/NHDPlus/NHDPlusV2_data.php; downloaded April 2022). The NHDPlus2 EROM table contains pre-development mean annual flow estimates for the period 1971-2000 for stream features in the NHDPlus2 (field Q0001C). Pre-development mean annual streamflow at the HUC12 outlet was set to the value reported for the NHDPlus2 stream reach located at the HUC12 outlet. Blank values indicate that the HUC12 contains a dam but does not have dam storage reported in the NID and/or does not have reference streamflow reported in NHDPlus2.","2022 National Inventory of Dams (downloaded April 2022); NHDPlus2 Extended Unit Runoff Method (EROM) tables (downloaded April 2022)"]
[345,"Stressor","Hydrologic Alteration","Canal Density in HUC12","CANAL_DENSITY_HUC12","Density of canals, ditches, and pipelines in the HUC12 (kilometer per square kilometer). Source data was the EPA StreamCat 'Accumulated Attributes for NHDPlusV2 Catchments (Version 2.1) for the Conterminous United States: Canal Density' dataset (ftp://newftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/HydroRegions/; downloaded March 2016). The StreamCat dataset reports canal, pipeline, and ditch density for NHDPlus2 catchments based on the location of surface water features in the NHDPlus2 NHD Snapshot classified as canals, ditches, or pipelines. Canal, pipeline, and ditch densities for NHDPlus2 catchments were aggregated to HUC12 values by calculating the area-weighted mean for catchments that intersect the HUC12. Additional information on the StreamCat canal, ditch, and pipeline density dataset can be found at: ftp://newftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/Documentation/Metadata/CanalDensity.html. See also NHD Snapshot glossary definition.","EPA StreamCat \"Accumulated Attributes for NHDPlusV2 Catchments (Version 2.1) for the Conterminous United States: Canal Density\" dataset (2015 version)"]
[346,"Stressor","Hydrologic Alteration","% Tile Drained Area in HUC12","TILE_DRAINAGE_PCT_HUC12","Percent of the HUC12 that is drained by subsurface tile drainage. Tile drainage is a method of removing water from the subsurface of agricultural fields. Source data was the USGS 'Attributes for NHDPlus Catchments (Version 1.1) in the Conterminous United States: Artificial Drainage (1992) and Irrigation Types (1997)' dataset (2010 version; http://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_adrain.xml#stdorder). The USGS dataset reports the tile drained area for each catchment in the NHDPlus Version 1.1 dataset based on artificial drainage information in the US Department of Agriculture 1992 National Resources Inventory. Tile drained areas for catchments were aggregated to HUC12 values by calculating the area-weighted sum for catchments that intersect each HUC12. Equation used: Tile Drained Area in HUC12 / HUC12 Area * 100.","USGS \"Attributes for NHDPlus Catchments (Version 1.1) in the Conterminous United States: Artificial Drainage (1992) and Irrigation Types (1997)\" dataset (2010 version)"]
[347,"Stressor","Hydrologic Alteration","% Ditch Drained Area in HUC12","DITCH_DRAINAGE_PCT_HUC12","Percent of the HUC12 that is drained by artificial surface ditches. Surface ditches collect and convey water from the surface of agricultural fields.  Source data was the USGS 'Attributes for NHDPlus Catchments (Version 1.1) in the Conterminous United States: Artificial Drainage (1992) and Irrigation Types (1997)' dataset (2010 version; http://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_adrain.xml#stdorder). The USGS dataset reports the ditch drained area for each catchment in the NHDPlus Version 1.1 dataset based on artificial drainage information in the US Department of Agriculture 1992 National Resources Inventory. Ditch drained areas for catchments were aggregated to HUC12 values by calculating the area-weighted sum for catchments that intersect each HUC12. Equation used: Ditch Drained Area in HUC12 / HUC12 Area * 100.","USGS \"Attributes for NHDPlus Catchments (Version 1.1) in the Conterminous United States: Artificial Drainage (1992) and Irrigation Types (1997)\" dataset (2010 version)"]
[348,"Stressor","Hydrologic Alteration","% Tile or Ditch Drained in HUC12","TILEDITCH_DRAINAGE_PCT_HUC12","Percent of the HUC12 that is drained by artificial surface ditches or subsurface tile drainage. Tile drainage is a method of removing water from the subsurface of agricultural fields; surface ditches collect and convey water from the surface of agricultural fields.  Source data was the USGS 'Attributes for NHDPlus Catchments (Version 1.1) in the Conterminous United States: Artificial Drainage (1992) and Irrigation Types (1997)' dataset (2010 version; http://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_adrain.xml#stdorder). The USGS dataset reports the tile and ditch drained area for each catchment in the NHDPlus Version 1.1 dataset based on artificial drainage information in the US Department of Agriculture 1992 National Resources Inventory. Artificially drained areas for catchments were aggregated to HUC12 values by calculating the area-weighted sum for catchments that intersect each HUC12. Equation used: Artificially Drained Area in HUC12 / HUC12 Area * 100.","USGS \"Attributes for NHDPlus Catchments (Version 1.1) in the Conterminous United States: Artificial Drainage (1992) and Irrigation Types (1997)\" dataset (2010 version)"]
[349,"Stressor","Water Use Intensity","Domestic Water Demand in HUC12","WATER_USE_DOM_HUC12","Daily domestic water use in the HUC12 (million gallons per day). Domestic water use includes indoor and outdoor household uses, such as drinking, bathing, cleaning, landscaping, and pools. Domestic water can include surface or groundwater that is self-supplied by households or publicly-supplied. Water used in a HUC12 may originate from within or outside the HUC12. Calculated by downscaling county water use estimates for 2005 reported by US Geological Survey ('Estimated Use of Water in the United States County-Level Data for 2005') using the 2006 National Land Cover Database (2006 NLCD) Land Cover dataset and 2010 US Census population estimates from the US Census Bureau. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BC6DBEBAB-03EF-43C8-8DCA-8D2845E06A96%7D","EPA EnviroAtlas \"Domestic Water Demand by 12-Digit HUC for the Conterminous United States\" dataset (December 15, 2015 version)"]
[350,"Stressor","Water Use Intensity","Agricultural Water Demand in HUC12","WATER_USE_AG_HUC12","Daily agricultural water use in the HUC12 (million gallons per day). Agricultural water use includes surface and groundwater that is self-supplied by agricultural producers or supplied by water providers (governments, private companies, or other organizations). Water used in a HUC12 may originate from within or outside the HUC12. Calculated by downscaling county water use estimates for 2005 reported by US Geological Survey ('Estimated Use of Water in the United States County-Level Data for 2005') using the 2006 National Land Cover Database (2006 NLCD) Land Cover dataset, the 2010 Cropland Data Layer, and a custom geospatial dataset of irrigated area locations. Counties with zero reported water use were assigned a state-level average value to address issues with water use reporting. This indicator was calculated for EPA EnviroAtlas. Detailed information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BD5113083-CFCD-48EC-BC24-0ADA5B9BDDB7%7D","EPA EnviroAtlas \"Agricultural Water Demand by 12-Digit HUC for the Conterminous United States\" dataset (May 7, 2015 version)"]
[351,"Stressor","Water Use Intensity","Industrial Water Demand in HUC12","WATER_USE_IND_HUC12","Daily industrial water use in the HUC12 (million gallons per day). Industrial water use includes water used for chemical, food, paper, wood, and metal production. Only includes self-supplied surface water or groundwater by private wells or reservoirs. Industrial water supplied by public water utilities is not counted. Water used in a HUC12 may originate from within or outside the HUC12. Calculated by downscaling county water use estimates for 2005 reported by US Geological Survey ('Estimated Use of Water in the United States County-Level Data for 2005') using a geospatial dataset on the location of industrial facilities as of 2009/10. Water use by industrial facilities in counties that were reported to have zero industrial water use in the USGS dataset was estimated from values for nearby facilities. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B4E58C04B-8A17-4B07-9EE4-1D9365D5B0D9%7D","EPA EnviroAtlas \"Industrial Water Use by 12-Digit HUC for the Conterminous United States\" dataset (May 7, 2015 version)"]
[352,"Stressor","Water Use Intensity","Thermoelectric Water Demand in HUC12","WATER_USE_THERMO_HUC12","Daily water use for thermoelectric power generation in the HUC12 (million gallons per day). Source data was the EPA 2009 Emission and Generation Resource Integrated Database (eGRID), a geospatial dataset of power plant locations and attributes. Water consumption was calculated for fossil fuel and nuclear power plants by multiplying the plant's annual net energy generation by a coefficient of water consumption, and water use estimates were summed for plants located in each HUC12. Thermoelectric water use estimates assume complete consumptive use of water and do not consider water reuse. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BA15BD49A-0C75-4E64-902B-581D89F7B8AC%7D.","EPA EnviroAtlas \"Thermoelectric Water Use for the Conterminous United States\" dataset (May 7, 2015 version)"]
[353,"Stressor","Pollutant Loading Severity","Nitrogen Yield in HUC12","N_YIELD_HUC12","Mean annual total nitrogen (TN) yield in the HUC12 estimated from the USGS SPARROW model (kilograms TN per square kilometer per year). SPARROW estimates pollutant yields using data on pollutant sources and sampled pollutant concentrations in surface waters. HUC12 values were calculated from outputs of regional USGS SPARROW models that simulate circa-2012 conditions (January 6, 2021 model version; https://www.usgs.gov/mission-areas/water-resources/science/sparrow-mappers). SPARROW estimates of incremental TN yields for catchments were aggregated to HUC12 values by calculating the area-weighted mean for catchments that intersect each HUC12. Blanks indicate that SPARROW results were not available for the HUC12.","USGS SPARROW model results for NHDPlus catchments (January 6, 2021 version)"]
[354,"Stressor","Pollutant Loading Severity","Phosphorus Yield in HUC12","P_YIELD_HUC12","Mean annual total phosphorus (TP) yield in the HUC12 estimated from the USGS SPARROW model (kilograms TP per square kilometer per year). SPARROW estimates pollutant yields using data on pollutant sources and sampled pollutant concentrations in surface waters. HUC12 values were calculated from outputs of regional USGS SPARROW models that simulate circa-2012 conditions (January 6, 2021 model version; https://www.usgs.gov/mission-areas/water-resources/science/sparrow-mappers). SPARROW estimates of incremental TP yields for catchments were aggregated to HUC12 values by calculating the area-weighted mean for catchments that intersect each HUC12. Blanks indicate that SPARROW results were not available for the HUC12.","USGS SPARROW model results for NHDPlus catchments (January 6, 2021 version)"]
[355,"Stressor","Pollutant Loading Severity","Suspended Solid Yield in HUC12","SS_YIELD_HUC12","Mean annual suspended solid (SS) yield in the HUC12 estimated from the USGS SPARROW model (megagrams SS per square kilometer per year). SPARROW estimates pollutant yields using data on pollutant sources and sampled pollutant concentrations in surface waters. HUC12 values were calculated from outputs of regional USGS SPARROW models that simulate circa-2012 conditions (January 6, 2021 model version; https://www.usgs.gov/mission-areas/water-resources/science/sparrow-mappers). SPARROW estimates of incremental SS yields for catchments were aggregated to HUC12 values by calculating the area-weighted mean for catchments that intersect each HUC12. Blanks indicate that SPARROW results were not available for the HUC12.","USGS SPARROW model results for NHDPlus catchments (January 6, 2021 version)"]
[356,"Stressor","Wildfire Risk","Wildfire Hazard Potential, Mean in HUC12","WILDFIRE_HAZARD_MEAN_HUC12","Mean wildfire hazard potential in the HUC12. Calculated from the 2020 USDA Forest Service Wildfire Hazard Potential geospatial dataset (3rd Edition; https://www.fs.usda.gov/rds/archive/Catalog/RDS-2015-0047-3). The Wildfire Hazard Potential dataset depicts the relative potential for the occurrence of wildfire that would be difficult for suppression resources to contain at 270 meter resolution with integer values ranging from 1 (very low risk of wildfire) to 100,000 (very high risk of wildfire). Calculated as the average of wildfire hazard potential integer values for grid pixels in the HUC12. Non-burnable lands and water are not assigned values in the Wildfire Hazard Potential geospatial dataset, these areas were excluded from the HUC12 mean calculations.","USDA Wildfire Hazard Potential for the United States (270-m) (version 2020, 3rd Edition)"]
[357,"Stressor","Wildfire Risk","% High or Very High Wildfire Hazard Potential in HUC12","HIGH_WILDFIRE_HAZARD_PCT_HUC12","Percent of the HUC12 with high or very high wildfire hazard potential. Calculated from the 2020 USDA Forest Service Wildfire Hazard Potential dataset (3rd Edition; https://www.fs.usda.gov/rds/archive/Catalog/RDS-2015-0047-3). The Wildfire Hazard Potential dataset classifies the relative potential for the occurrence of wildfire that would be difficult for suppression resources to contain at 270 meter resolution with ratings of Very Low, Low, Moderate, High, or Very High. Calculated as the area of grid pixels in the HUC12 with High or Very High Wildfire Hazard Potential, divided by HUC12 area, multiplied by 100.","USDA Wildfire Hazard Potential for the United States (270-m) (version 2020, 3rd Edition)"]
[358,"Stressor","Projected Climate and Hydrologic Change","Projected Change in Annual Temperature in HUC12","TEMP_ANN_PROJ_CHG_HUC12","Projected change in annual temperature in the HUC12 (degrees Celsius). Annual temperature is the average of daily highs across a calendar year. Positive values indicate a projected increase in average annual temperature during 2061-2090 relative to historical 1971-2000 conditions; negative values indicate a projected decrease. Average annual temperature during the future and historical periods is calculated from results of 30 climate models summarized by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp). Projected future conditions reflect a high greenhouse gas emission scenario, with continued increases in emissions through 2100 (the Representative Concentration Pathway 8.5 emission scenario). Calculated for each HUC12 as: (Projected Future Annual Temperature - Historical Annual Temperature. See also the Climate Projection Data glossary definition.","MACAv2-METDATA climate model data analyzed by US Geological Survey (USGS) for the National Climate Change Viewer (September 2021 version)"]
[359,"Stressor","Projected Climate and Hydrologic Change","Projected Change in Summer Temperature in HUC12","TEMP_SUMMER_PROJ_CHG_HUC12","Projected change in summer temperature in the HUC12 (degrees Celsius). Summer temperature is the average of daily highs across May through October. Positive values indicate a projected increase in average summer temperature during 2061-2090 relative to historical 1971-2000 conditions; negative values indicate a projected decrease. Average summer temperature during the future and historical periods is calculated from results of 30 climate models summarized by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp). Projected future conditions reflect a high greenhouse gas emission scenario, with continued increases in emissions through 2100 (the Representative Concentration Pathway 8.5 emission scenario). Calculated for each HUC12 as: (Projected Future Summer Temperature - Historical Summer Temperature. See also the Climate Projection Data glossary definition.","MACAv2-METDATA climate model data analyzed by US Geological Survey (USGS) for the National Climate Change Viewer (September 2021 version)"]
[360,"Stressor","Projected Climate and Hydrologic Change","% Projected Change in Annual Precipitation in HUC12","PRECIP_ANN_PCT_CHG_HUC12","Projected percent change in annual precipitation in the HUC12. Positive values indicate a projected increase in average annual precipitation during 2061-2090 relative to historical 1971-2000 conditions; negative values indicate a projected decrease. Annual precipitation during the future and historical periods is calculated from results of 30 climate models summarized by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp). Projected future conditions reflect a high greenhouse gas emission scenario, with continued increases in emissions through 2100 (the Representative Concentration Pathway 8.5 emission scenario). Calculated for each HUC12 as: (Projected Future Annual Precipitation - Historical Annual Precipitation) / Historical Annual Precipitation x 100. See also the Climate Projection Data glossary definition.","MACAv2-METDATA climate model data analyzed by US Geological Survey (USGS) for the National Climate Change Viewer (September 2021 version)"]
[361,"Stressor","Projected Climate and Hydrologic Change","% Projected Change in Annual Precipitation in HUC12, Inverse","PRECIP_ANN_PCT_CHG_INV_HUC12","Inverse of projected percent change in annual precipitation in the HUC12. Positive values indicate a projected decrease in average annual precipitation during 2061-2090 relative to historical 1971-2000 conditions; negative values indicate a projected increase. Annual precipitation during the future and historical periods is calculated from results of 30 climate models summarized by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp). Projected future conditions reflect a high greenhouse gas emission scenario, with continued increases in emissions through 2100 (the Representative Concentration Pathway 8.5 emission scenario). Calculated for each HUC12 as: (Projected Future Annual Precipitation - Historical Annual Precipitation) / Historical Annual Precipitation x 100 x -1. See also the Climate Projection Data glossary definition.","MACAv2-METDATA climate model data analyzed by US Geological Survey (USGS) for the National Climate Change Viewer (September 2021 version)"]
[362,"Stressor","Projected Climate and Hydrologic Change","% Projected Change in Summer Precipitation in HUC12","PRECIP_SUMMER_PCT_CHG_HUC12","Projected percent change in summer precipitation in the HUC12. Summer is defined as May - October. Positive values indicate a projected increase in average summer precipitation during 2061-2090 relative to historical 1971-2000 conditions; negative values indicate a projected decrease. Summer precipitation during the future and historical periods is calculated from results of 30 climate models summarized by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp). Projected future conditions reflect a high greenhouse gas emission scenario, with continued increases in emissions through 2100 (the Representative Concentration Pathway 8.5 emission scenario). Calculated for each HUC12 as: (Projected Future Summer Precipitation - Historical Summer Precipitation) / Historical Summer Precipitation x 100. See also the Climate Projection Data glossary definition.","MACAv2-METDATA climate model data analyzed by US Geological Survey (USGS) for the National Climate Change Viewer (September 2021 version)"]
[363,"Stressor","Projected Climate and Hydrologic Change","% Projected Change in Summer Precipitation in HUC12, Inverse","PRECIP_SUMMR_PCT_CHG_INV_HUC12","Inverse of projected percent change in summer precipitation in the HUC12. Summer is defined as May - October. Positive values indicate a projected decrease in average summer precipitation during 2061-2090 relative to historical 1971-2000 conditions; negative values indicate a projected increase. Summer precipitation during the future and historical periods is calculated from results of 30 climate models summarized by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp). Projected future conditions reflect a high greenhouse gas emission scenario, with continued increases in emissions through 2100 (the Representative Concentration Pathway 8.5 emission scenario). Calculated for each HUC12 as: (Projected Future Summer Precipitation - Historical Summer Precipitation) / Historical Summer Precipitation x 100 x -1. See also the Climate Projection Data glossary definition.","MACAv2-METDATA climate model data analyzed by US Geological Survey (USGS) for the National Climate Change Viewer (September 2021 version)"]
[364,"Stressor","Projected Climate and Hydrologic Change","% Projected Change in Annual Runoff in HUC12","RUNOFF_ANN_PCT_CHG_HUC12","Projected percent change in annual surface runoff in the HUC12. Positive values indicate a projected increase in average annual surface runoff during 2061-2090 relative to historical 1971-2000 conditions; negative values indicate a projected decrease. Annual surface runoff during the future and historical periods is calculated from water balance models that simulate the hydrologic response to 30 climate models. The water balance model simulates the combined effects of precipitation and temperature changes independent of land use and vegetation cover. Analysis of climate model results and water balance modeling was completed by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp). Projected future conditions reflect a high greenhouse gas emission scenario, with continued increases in emissions through 2100 (the Representative Concentration Pathway 8.5 emission scenario). Calculated for each HUC12 as: (Projected Future Annual Surface Runoff - Historical Annual Surface Runoff) / Historical Annual Runoff x 100. See also the Hydrology Projection Data glossary definition.","Water-balance model results from the US Geological Survey (USGS) developed for the USGS National Climate Change Viewer (September 2021 version)"]
[365,"Stressor","Projected Climate and Hydrologic Change","% Projected Change in Annual Runoff in HUC12, Inverse","RUNOFF_ANN_PCT_CHG_INV_HUC12","Inverse of projected percent change in annual surface runoff in the HUC12. Positive values indicate a projected decrease in average annual surface runoff during 2061-2090 relative to historical 1971-2000 conditions; negative values indicate a projected increase. Annual surface runoff during the future and historical periods is calculated from water balance models that simulate the hydrologic response to 30 climate models. The water balance model simulates the combined effects of precipitation and temperature changes independent of land use and vegetation cover. Analysis of climate model results and water balance modeling was completed by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp). Projected future conditions reflect a high greenhouse gas emission scenario, with continued increases in emissions through 2100 (the Representative Concentration Pathway 8.5 emission scenario). Calculated for each HUC12 as: (Projected Future Annual Surface Runoff - Historical Annual Surface Runoff) / Historical Annual Runoff x 100 x -1. See also the Hydrology Projection Data glossary definition.","Water-balance model results from the US Geological Survey (USGS) developed for the USGS National Climate Change Viewer (September 2021 version)"]
[366,"Stressor","Projected Climate and Hydrologic Change","% Projected Change in Spring Runoff in HUC12","RUNOFF_SPRING_PCT_CHG_HUC12","Projected percent change in spring surface runoff in the HUC12. Spring is defined as March - May. Positive values indicate a projected increase in average spring surface runoff during 2061-2090 relative to historical 1971-2000 conditions; negative values indicate a projected decrease. Spring surface runoff during the future and historical periods is calculated from water balance models that simulate the hydrologic response to 30 climate models. The water balance model simulates the combined effects of precipitation and temperature changes independent of land use and vegetation cover. Analysis of climate model results and water balance modeling was completed by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp). Projected future conditions reflect a high greenhouse gas emission scenario, with continued increases in emissions through 2100 (the Representative Concentration Pathway 8.5 emission scenario). Calculated for each HUC12 as: (Projected Future Spring Surface Runoff - Historical Spring Surface Runoff) / Historical Spring Runoff x 100. See also the Hydrology Projection Data glossary definition.","Water-balance model results from the US Geological Survey (USGS) developed for the USGS National Climate Change Viewer (September 2021 version)"]
[367,"Stressor","Projected Climate and Hydrologic Change","% Projected Change in Spring Runoff in HUC12, Inverse","RUNOFF_SPRNG_PCT_CHG_INV_HUC12","Inverse of projected percent change in spring surface runoff in the HUC12. Spring is defined as March - May. Positive values indicate a projected decrease in average spring surface runoff during 2061-2090 relative to historical 1971-2000 conditions; negative values indicate a projected increase. Spring surface runoff during the future and historical periods is calculated from water balance models that simulate the hydrologic response to 30 climate models. The water balance model simulates the combined effects of precipitation and temperature changes independent of land use and vegetation cover. Analysis of climate model results and water balance modeling was completed by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp). Projected future conditions reflect a high greenhouse gas emission scenario, with continued increases in emissions through 2100 (the Representative Concentration Pathway 8.5 emission scenario). Calculated for each HUC12 as: (Projected Future Spring Surface Runoff - Historical Spring Surface Runoff) / Historical Spring Runoff x 100 x -1. See also the Hydrology Projection Data glossary definition.","Water-balance model results from the US Geological Survey (USGS) developed for the USGS National Climate Change Viewer (September 2021 version)"]
[368,"Stressor","Projected Climate and Hydrologic Change","% Projected Decrease in March Snow Water Equivalence in HUC12","SNOW_EQ_MARCH_PCT_DEC_HUC12","Projected percent decrease in March snow water equivalence in the HUC12. Positive values indicate a projected decrease in average March snow water equivalence (SWE) during 2061-2090 relative to historical 1971-2000 conditions. SWE is a measurement of the amount of liquid water contained within the snowpack. March SWE during the future and historical periods is calculated from water balance models that simulate the hydrologic response to 30 climate models. The water balance model simulates the combined effects of precipitation and temperature changes independent of land use and vegetation cover. Analysis of climate model results and water balance modeling was completed by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp). Projected future conditions reflect a high greenhouse gas emission scenario, with continued increases in emissions through 2100 (the Representative Concentration Pathway 8.5 emission scenario). Calculated for each HUC12 as: (Projected Future March SWE - Historical March SWE) / Historical March SWE x 100 * -1. See also the Hydrology Projection Data glossary definition.","Water-balance model results from the US Geological Survey (USGS) developed for the USGS National Climate Change Viewer (September 2021 version)"]
[369,"Stressor","Projected Climate and Hydrologic Change","% Projected Change in Annual Evaporative Deficit in HUC12","EVAP_DEF_ANN_PCT_CHG_HUC12","Projected percent change in annual evaporative deficit in the HUC12. Evaporative deficit is a measure of atmospheric water shortage and is defined as the difference between potential evapotranspiration and actual evapotranspiration. Positive values indicate a projected increase in average annual evaporative deficit during 2061-2090 (i.e., drier conditions) relative to historical 1971-2000 conditions. Annual evaporative deficit during the future and historical periods is calculated from water balance models that simulate the hydrologic response to 30 climate models. The water balance model simulates the combined effects of precipitation and temperature changes independent of land use and vegetation cover. Analysis of climate model results and water balance modeling was completed by the USGS National Climate Change Viewer program (https://www2.usgs.gov/landresources/lcs/nccv.asp). Projected future conditions reflect a high greenhouse gas emission scenario, with continued increases in emissions through 2100 (the Representative Concentration Pathway 8.5 emission scenario). Calculated for each HUC12 as: (Projected Future Annual Evaporative Deficit Runoff - Historical Annual Evaporative Deficit Runoff) / Historical Annual Evaporative Deficit x 100. See also the Hydrology Projection Data glossary definition.","Water-balance model results from the US Geological Survey (USGS) developed for the USGS National Climate Change Viewer (September 2021 version)"]
[370,"Stressor","Flood Inundation Risk","% Projected Coastal Flooding in HUC12, 2-Foot Sea Level Rise","COASTAL_FLOOD_2FT_PCT_HUC12","Percent of the HUC12 that is projected to become inundated by water with a 2-foot rise in local sea level. Includes areas that are projected to be inundated with rising sea levels but are not currently inundated. Inundation is defined as any area that is submerged at the average daily high tide water mark (referred to as the Mean Higher High Water level). Source data were map layers of inundated areas under existing conditions and under a 2-foot sea level rise scenario generated by NOAA (acquired March 2021; https://coast.noaa.gov/digitalcoast/tools/slr.html). The inundation maps produced by NOAA do not reflect a detailed analysis of drainage systems and assume that present-day coastal geomorphology conditions will persist. Calculated for each HUC12 as: (Inundated Area with 2-Foot Sea Level Rise - Existing Inundated Area) / HUC12 Area * 100. HUC12s were assigned blank values if more than 50% of the HUC12 area was not modeled for sea level inundation.","Coastal flooding projections from NOAA's Sea Level Rise Viewer (acquired March 2021)"]
[371,"Stressor","Flood Inundation Risk","% Projected Coastal Flooding in HUC12, 10-Foot Sea Level Rise","COASTAL_FLOOD_10FT_PCT_HUC12","Percent of the HUC12 that is projected to become inundated by water with a 10-foot rise in local sea level. Includes areas that are projected to be inundated with rising sea levels but are not currently inundated. Inundation is defined as any area that is submerged at the average daily high tide water mark (referred to as the Mean Higher High Water level). Source data were map layers of inundated areas under existing conditions and under a 10-foot sea level rise scenario generated by NOAA (acquired March 2021; https://coast.noaa.gov/digitalcoast/tools/slr.html). The inundation maps produced by NOAA do not reflect a detailed analysis of drainage systems and assume that present-day coastal geomorphology conditions will persist. Calculated for each HUC12 as: (Inundated Area with 10-Foot Sea Level Rise - Existing Inundated Area) / HUC12 Area * 100.  HUC12s were assigned blank values if more than 50% of the HUC12 area was not modeled for sea level inundation.","Coastal flooding projections from NOAA's Sea Level Rise Viewer (acquired March 2021)"]
[372,"Stressor","Flood Inundation Risk","% Hurricane Storm Surge Zone in HUC12, Category 2","HURRICANE_SURGE_CAT2_PCT_HUC12","Percent of the HUC12 that is projected to be inundated in a near-worst-case high water scenario for Category 2 hurricanes. Coastal storm surge depths are mapped for alternative storm scenarios by the NOAA SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model. HUC12 values were calculated from storm surge map layers in the NOAA Maximum of Maximums dataset (published December 2016; https://www.nhc.noaa.gov/nationalsurge/#data), which integrates tens of thousands of SLOSH model runs to reflect the maximum simulated storm surge depth in each model grid cell for a given category of storm. For HUC12 analysis, the storm surge zone was defined as any area with a non-zero storm surge depth. Calculated for each HUC12 as: Area of Category 2 Storm Surge Zone in HUC12 / HUC12 Area * 100.","NOAA Sea Lake, and Overland Surges from Hurricans (SLOSH) model results (December 2016 version)"]
[373,"Stressor","Flood Inundation Risk","% Hurricane Storm Surge Zone in HUC12, Category 4","HURRICANE_SURGE_CAT4_PCT_HUC12","Percent of the HUC12 that is projected to be inundated in a near-worst-case high water scenario for Category 4 hurricanes. Coastal storm surge depths are mapped for alternative storm scenarios by the NOAA SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model. HUC12 values were calculated from storm surge map layers in the NOAA Maximum of Maximums dataset (published December 2016; https://www.nhc.noaa.gov/nationalsurge/#data), which integrates tens of thousands of SLOSH model runs to reflect the maximum simulated storm surge depth in each model grid cell for a given category of storm. For HUC12 analysis, the storm surge zone was defined as any area with a non-zero storm surge depth. Calculated for each HUC12 as: Area of Category 4 Storm Surge Zone in HUC12 / HUC12 Area * 100.","NOAA Sea Lake, and Overland Surges from Hurricans (SLOSH) model results (December 2016 version)"]
[374,"Stressor","Flood Inundation Risk","% 100-Year Flood Zone (Modeled) in HUC12","FLOOD_ZONE_MODELED_PCT_HUC12","Percent of the HUC12 that is in the 100-year flood zone estimated by the EPA Office of Research and Development (ORD). The term 100-year flood describes a flood magnitude that has a 1% chance of occurring in a given year. The 100-year flood zone is the area that is at-risk for flooding during a 100-year flood. Calculated from the EPA ORD map layer titled Estimated floodplain map for the Conterminous United States (published August 2018; https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B4c37f02a-0c91-49b2-b7df-82ea4a6b9750%7D). The EPA ORD map layer is a modeled estimate of the 100-year flood zone based on topography, soil characteristics, and land cover. Unlike flood zone maps maintained by the Federal Emergency Management Agency (FEMA), the EPA ORD map layer provides a continuous estimate of the 100-year flood zone with no geographic gaps. For HUC12 analysis, the 100-year flood zone was edited to remove areas that overlapped surface waters such as rivers and lakes or wetlands using the Water Mask map layer (June 2022 version). Calculated for each HUC12 as: Land Area of 100-Year Flood Zone in HUC12 / Area of HUC12 * 100. See also Water Mask glossary definition.","EPA EnviroAtlas Estimated floodplain map for the Conterminous United States (August 2018 version)"]
[375,"Stressor","Flood Inundation Risk","% 100-Year Flood Zone in HUC12","FLOOD_ZONE_PCT_HUC12","Percent of the HUC12 that is in the 100-year flood zone mapped by the Federal Emergency Management Agency (FEMA). The term 100-year flood describes a flood magnitude that has a 1% chance of occurring in a given year. The 100-year flood zone is the area that is at-risk for flooding during a 100-year flood. Calculated from 100-year flood zone map layers maintained in the FEMA Flood Insurance Rate Maps National Flood Hazard Layer (acquired February 2021; https://www.fema.gov/flood-maps/national-flood-hazard-layer). For HUC12 analysis, the 100-year flood zone was edited to remove areas that overlapped surface waters such as rivers and lakes or wetlands. Calculated for each HUC12 as: Land Area of 100-Year Flood Zone in HUC12 / Area of HUC12 * 100. The FEMA flood zone maps are incomplete in unpopulated regions or other areas where flood mapping has not been undertaken. HUC12s were assigned blank values if flood zone maps were not available for more than 50% of the HUC12 area.","FEMA National Flood Hazard Layer 100-year flood areas (acquired February 2021)"]
[376,"Stressor","Soil Attributes","Soil Erodibility, Mean in HUC12","SOIL_ERODIBILITY_HUC12","Average soil erodibility (K) factor in the HUC12. Source data was a 100-meter resolution grid of soil map units and attributes in the Natural Resources Conservation Service (NRCS) Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey in July 2013. Calculated as the mean of soil erodibility values in the HUC12.","NRCS Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey (USGS) in July 2013; HUC12 Version: NHDPlus2 WBD Snapshot (Version 03)"]
[377,"Stressor","Soil Attributes","Soil Erodibility, Mean in Hydro-Connected Zone in HUC12","SOIL_ERODIBILITY_HCZ_HUC12","Average soil erodibility (K) factor in the Hydrologically Connected Zone (HCZ) of the HUC12. Source data was a 100-meter resolution grid of soil map units and attributes in the Natural Resources Conservation Service (NRCS) Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey in July 2013. Calculated as the mean of soil erodibility values in the Hydrologically Connected Zone of the HUC12. A 2011 version of the Hydrologically Connected Zone dataset was used for this indicator. See also Hydrologically Connected Zone glossary definition.","NRCS Soil Survey Geographic (STATSGO2) database, acquired from the US Geological Survey (USGS) in July 2013; HUC12 Version: NHDPlus2 WBD Snapshot (Version 03)"]
[378,"Stressor","Soil Attributes","% Moderately High Runoff Potential Soils in HUC12","SOIL_RUNOFF_MODHIGH_PCT_HUC12","Percent of the HUC12 containing soils classified as having moderately high potential for surface runoff. Soils with moderately high runoff potential are assigned to Hydrologic Soil Group C and are defined as having a slow rate of infiltration. They consist mainly of soils having a layer that impedes the downward movement of water or soils with a moderately fine or fine texture. Source data was the USDA Natural Resources Conservation Service (NRCS) Gridded Soil Survey Geographic (gSSURGO) database (July 2020 Version; https://nrcs.app.box.com/v/gateway/folder/119454159836). Calculated for each HUC12 as: Area of Hydrologic Soil Group C in HUC12 / HUC12 Area * 100. HUC12s were assigned a blank value if soil runoff potential was not reported for more than 50% of the HUC12 land area.","USDA Natural Resources Conservation Service (NRCS) Gridded Soil Survey Geographic (gSSURGO) database (July 2020 version)"]
[379,"Stressor","Soil Attributes","% High Runoff Potential Soils in HUC12","SOIL_RUNOFF_HIGH_PCT_HUC12","Percent of the HUC12 containing soils classified as having high potential for surface runoff. Soils with high runoff potential are assigned to Hydrologic Soil Group D and are defined as having a very slow rate of infiltration. They consist mainly of clays that have a high shrink-swell potential, a high water table, a claypan or clay layer at or near the surface, and/or are shallow over the top of nearly impervious material. Source data was the USDA Natural Resources Conservation Service (NRCS) Gridded Soil Survey Geographic (gSSURGO) database (July 2020 Version; https://nrcs.app.box.com/v/gateway/folder/119454159836). Calculated for each HUC12 as: Area of Hydrologic Soil Group D in HUC12 / HUC12 Area * 100. HUC12s were assigned a blank value if soil runoff potential was not reported for more than 50% of the HUC12 land area.","USDA Natural Resources Conservation Service (NRCS) Gridded Soil Survey Geographic (gSSURGO) database (July 2020 version)"]
[380,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Watershed Vulnerability Index, State","PHWA_VULN_NDX_ST","The statewide Watershed Vulnerability Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Watershed Vulnerability Index characterizes the vulnerability of aquatic ecosystems in a watershed to future alteration based on Land Use Change, Water Use Change, and Wildfire Vulnerability Sub-Index scores. Higher scores correspond to greater potential vulnerability of aquatic ecosystems to future degradation. Source data were statewide Watershed Vulnerability Index scores for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[381,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Watershed Vulnerability Index, Ecoregion","PHWA_VULN_NDX_ER","The ecoregional Watershed Vulnerability Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Watershed Vulnerability Index characterizes the vulnerability of aquatic ecosystems in a watershed to future alteration based on Land Use Change, Water Use Change, and Wildfire Vulnerability Sub-Index scores. Higher scores correspond to greater potential vulnerability of aquatic ecosystems to future degradation. Source data were ecoregional Watershed Vulnerability Index scores for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[382,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Land Use Vulnerability Sub-Index, State","PHWA_LUVLN_SUBNDX_ST","The statewide Land Use Vulnerability Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Land Use Vulnerability Sub-Index characterizes the vulnerability of aquatic ecosystems in a HUC12 to land use change based on recent (2001-2011) land use change, projected changes in impervious cover, and the extent of protected lands in the watershed. Source data were statewide Land Use Vulnerability Sub-Index scores for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[383,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Land Use Vulnerability Sub-Index, Ecoregion","PHWA_LUVLN_SUBNDX_ER","The ecoregional Land Use Vulnerability Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Land Use Vulnerability Sub-Index characterizes the vulnerability of aquatic ecosystems in a HUC12 to land use change based on recent (2001-2011) land use change, projected changes in impervious cover, and the extent of protected lands in the watershed. Source data were ecoregional Land Use Vulnerability Sub-Index scores for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[384,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Water Use Vulnerability Sub-Index, State","PHWA_WUVLN_SUBNDX_ST","The statewide Water Use Vulnerability Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Water Use Vulnerability Sub-Index characterizes the vulnerability of aquatic ecosystems in a HUC12 to future increases in water use based on recent (2005) estimates of agricultural, domestic, and industrial water use in the HUC12. Source data were statewide Water Use Vulnerability Sub-Index scores for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[385,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Water Use Vulnerability Sub-Index, Ecoregion","PHWA_WUVLN_SUBNDX_ER","The ecoregional Water Use Vulnerability Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Water Use Vulnerability Sub-Index characterizes the vulnerability of aquatic ecosystems in a HUC12 to future increases in water use based on recent (2005) estimates of agricultural, domestic, and industrial water use in the HUC12. Source data were ecoregional Water Use Vulnerability Sub-Index scores for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[386,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Wildfire Vulnerability Sub-Index, State","PHWA_WFVLN_SUBNDX_ST","The statewide Wildfire Vulnerability Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Wildfire Vulnerability Sub-Index characterizes the vulnerability of aquatic ecosystems in a HUC12 to the effects of intense wildfires based on a predictive model of wildfire risk in the HUC12. Source data were statewide Wildfire Vulnerability Sub-Index scores for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[387,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Wildfire Vulnerability Sub-Index, Ecoregion","PHWA_WFVLN_SUBNDX_ER","The ecoregional Wildfire Vulnerability Sub-Index score for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Wildfire Vulnerability Sub-Index characterizes the vulnerability of aquatic ecosystems in a HUC12 to the effects of intense wildfires based on a predictive model of wildfire risk in the HUC12. Source data were ecoregional Wildfire Vulnerability Sub-Index scores for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[388,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Watershed Vulnerability Index, State Percentile","PHWA_VULN_NDX_ST_PCT","The statewide Watershed Vulnerability Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Watershed Vulnerability Index characterizes the vulnerability of aquatic ecosystems in a watershed to future alteration based on Land Use Change, Water Use Change, and Wildfire Vulnerability Sub-Index scores. Higher scores correspond to greater potential vulnerability of aquatic ecosystems to future degradation. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the state. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the state. Source data were statewide Watershed Vulnerability Index percentiles for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[389,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Watershed Vulnerability Index, Ecoregion Percentile","PHWA_VULN_NDX_ER_PCT","The ecoregional Watershed Vulnerability Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Watershed Vulnerability Index characterizes the vulnerability of aquatic ecosystems in a watershed to future alteration based on Land Use Change, Water Use Change, and Wildfire Vulnerability Sub-Index scores. Higher scores correspond to greater potential vulnerability of aquatic ecosystems to future degradation. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the ecoregion. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the ecoregion. Source data were ecoregional Watershed Vulnerability Index percentiles for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[390,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Land Use Vuln. Sub-Index, State Percentile","PHWA_LUVLN_SUBNDX_ST_PCT","The statewide Land Use Vulnerability Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Land Use Vulnerability Sub-Index characterizes the vulnerability of aquatic ecosystems in a HUC12 to land use change based on recent (2001-2011) land use change, projected changes in impervious cover, and the extent of protected lands in the watershed. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the state. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the state. Source data were statewide Land Use Vulnerability Sub-Index percentiles for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[391,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Land Use Vuln. Sub-Index, Ecoregion Percentile","PHWA_LUVLN_SUBNDX_ER_PCT","The ecoregional Land Use Vulnerability Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Land Use Vulnerability Sub-Index characterizes the vulnerability of aquatic ecosystems in a HUC12 to land use change based on recent (2001-2011) land use change, projected changes in impervious cover, and the extent of protected lands in the watershed. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the ecoregion. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the ecoregion. Source data were ecoregional Land Use Vulnerability Sub-Index percentiles for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[392,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Wildfire Vuln. Sub-Index, State Percentile","PHWA_WFVLN_SUBNDX_ST_PCT","The statewide Wildfire Vulnerability Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Wildfire Vulnerability Sub-Index characterizes the vulnerability of aquatic ecosystems in a HUC12 to the effects of intense wildfires based on a predictive model of wildfire risk in the HUC12. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the state. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the state. Source data were statewide Wildfire Vulnerability Sub-Index percentiles for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[393,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Wildfire Vuln. Sub-Index, Ecoregion Percentile","PHWA_WFVLN_SUBNDX_ER_PCT","The ecoregional Wildfire Vulnerability Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Wildfire Vulnerability Sub-Index characterizes the vulnerability of aquatic ecosystems in a HUC12 to the effects of intense wildfires based on a predictive model of wildfire risk in the HUC12. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the ecoregion. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the ecoregion. Source data were ecoregional Wildfire Vulnerability Sub-Index percentiles for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[394,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Water Use Vuln. Sub-Index, State Percentile","PHWA_WUVLN_SUBNDX_ST_PCT","The statewide Water Use Vulnerability Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Water Use Vulnerability Sub-Index characterizes the vulnerability of aquatic ecosystems in a HUC12 to future increases in water use based on recent (2005) estimates of agricultural, domestic, and industrial water use in the HUC12. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the state. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the state. Source data were statewide Water Use Vulnerability Sub-Index percentiles for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different states to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same state only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[395,"Stressor","Integrated Watershed Vulnerability Index & Sub-Indices","PHWA Water Use Vuln. Sub-Index, Ecoregion Percentile","PHWA_WUVLN_SUBNDX_ER_PCT","The ecoregional Water Use Vulnerability Sub-Index percentile for the HUC12 from the 2021 EPA Preliminary Healthy Watersheds Assessment (PHWA). The Water Use Vulnerability Sub-Index characterizes the vulnerability of aquatic ecosystems in a HUC12 to future increases in water use based on recent (2005) estimates of agricultural, domestic, and industrial water use in the HUC12. Percentiles convey the relative rank of a HUC12 score compared to all other HUC12s with a majority of their area in the ecoregion. For example, a percentile value of 60% means that the HUC12 scores better than 60% of all other HUC12s with a majority of their area in the ecoregion. Source data were ecoregional Water Use Vulnerability Sub-Index percentiles for HUC12s developed as part of the 2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version). NOTE: PHWA scores/percentiles are not suitable for comparing HUC12s that occur in different ecoregions to one another. Scoring of a given HUC12 reflects its condition relative to all other HUC12s within the same ecoregion only. See also PHWA glossary definition.","2021 EPA Preliminary Healthy Watersheds Assessment (August 8, 2021 version)"]
[396,"Stressor","Impaired Waters","Impaired Waters Count in HUC12","IMP_WATERS_CNT_HUC12","Count of Impaired Waters in the HUC12. Impaired Waters are river segments, lakes, or other surface water features that are reported as not attaining surface water quality standards under Section 303(d) of the Clean Water Act. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). Waters are classified as \"Impaired\" in ATTAINS if water quality is reported as \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[397,"Stressor","Impaired Waters","Impairment Count in HUC12","IMPAIRMENTS_CNT_HUC12","Count of Water Quality Impairments in the HUC12. A Water Quality Impairment is defined as a unique combination of an Assessment Unit and an Impairment Cause. An Assessment Unit is a river segment, lake, or other surface water feature that is evaluated for attainment of water quality standards under Section 305(b) of the Clean Water Act. An Impairment Cause is a pollutant or related parameter that is causing non-attainment of surface water quality standards in the Assessment Unit. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). Waters are classified as \"Impaired\" in ATTAINS if water quality is reported as \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). Calculated as the sum of all unique Assessment Unit-Impairment Cause combinations in the HUC12. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[398,"Stressor","Impaired Waters","Impairment Cause Count in HUC12","IMPAIRMENT_CAUSES_CNT_HUC12","Count of unique Impairment Causes in the HUC12. An Impairment Cause is a pollutant or related parameter that is causing non-attainment of surface water quality standards. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). Includes Impairment Causes for water quality assessment categories \"4a\" (impaired with completed TMDL), \"4b\" (impaired but no TMDL required), \"4c\" (impaired by a cause that is not a pollutant), or \"5\" (impaired with TMDL required). Calculated as the sum of all the unique Impairment Causes in the HUC12. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[399,"Stressor","Impaired Waters","Impaired Waters, % of HUC12","IMP_WATERS_PCT_HUC12","Percent of the HUC12 containing Impaired Waters. Impaired Waters are river segments, lakes, or other surface water features that are reported as not attaining surface water quality standards under Section 303(d) of the Clean Water Act. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). Waters are classified as \"Impaired\" in ATTAINS if water quality is reported as \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). Within ATTAINS, areas containing Impaired Waters are measured using the local drainage area of surface water segments, termed Catchments. An overlay of Catchments and HUC12s is completed to determine HUC12 values. Calculated as: Area of Catchments with Impaired Waters in the HUC12 / Total Area of Catchments in the HUC12 * 100. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[400,"Stressor","Impaired Waters","Impaired Waters, % of Assessed Area in HUC12","IMP_WATERS_PCTA_HUC12","Percent of the Assessed Area of the HUC12 containing Impaired Waters. The Assessed Area is the portion of the HUC12 containing river segments, lakes, or other surface water features that have been assessed for attainment of surface water quality standards under Section 305(b) of the Clean Water Act. Impaired Waters are surface water features that are not attaining water quality standards. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). Waters are classified as \"Impaired\" in ATTAINS if water quality is reported as \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). Within ATTAINS, areas containing Assessed Waters and Impaired Waters are measured using the local drainage area of surface water segments, termed Catchments. An overlay of Catchments and HUC12s is completed to determine HUC12 values. Calculated as: Area of Catchments with Impaired Waters in the HUC12 / Area of Assessed Catchments in the HUC12 * 100. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[401,"Stressor","Impaired Waters","Nutrient Impaired Waters Count in HUC12","IMP_WATERS_NUTRIENT_CNT_HUC12","Count of Nutrient Impaired Waters in the HUC12. Nutrient Impaired Waters are river segments, lakes, or other surface water features that are reported as not attaining surface water quality standards under Section 303(d) of the Clean Water Act due to excess levels of nutrients, algal growth, organic enrichment, oxygen depletion, and related parameters. Calculated from EPA's Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). Waters are classified as \"Impaired\" in ATTAINS if water quality is reported as \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). A complete list of parameters used to identify Nutrient Impaired Waters can be found at: https://mywaterway.epa.gov/attains (where ATTAINS Parameter Group equals NUTRIENT). See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[402,"Stressor","Impaired Waters","Nutrient Impaired Waters, % of HUC12","IMP_WATERS_NUTRIENT_PCT_HUC12","Percent of the HUC12 containing Nutrient Impaired Waters. Nutrient Impaired Waters are river segments, lakes, or other surface water features that are reported as not attaining surface water quality standards under Section 303(d) of the Clean Water Act due to excess levels of nutrients, algal growth, organic enrichment, oxygen depletion, or related parameters. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) Assessment Units Service (accessed August 3, 2021). Waters are classified as \"Impaired\" in ATTAINS if water quality is reported as \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). A complete list of parameters used to identify Nutrient Impaired Waters can be found at: https://mywaterway.epa.gov/attains (where ATTAINS Parameter Group equals NUTRIENT). Within ATTAINS, areas containing Impaired Waters are measured using the local drainage area of surface water segments, termed Catchments. An overlay of Catchments and HUC12s is completed to determine HUC12 values. Calculated as: Area of Catchments with Nutrient Impaired Waters in the HUC12 / Total Area of Catchments in the HUC12 * 100. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) Assessment Units Service (accessed August 3, 2021)"]
[403,"Stressor","Impaired Waters","Nutrient Impaired Waters, % of Assessed Area in HUC12","IMP_WATERS_NUTRIENT_PCTA_HUC12","Percent of the Assessed Area of the HUC12 containing Nutrient Impaired Waters. The Assessed Area is the portion of the HUC12 containing river segments, lakes, or other surface water features that have been assessed for attainment of surface water quality standards under Section 305(b) of the Clean Water Act. Nutrient Impaired Waters are surface water features that are not attaining water quality standards due to excess nutrients, algal growth, organic enrichment, oxygen depletion, or related parameters. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) Assessment Units Service (accessed August 3, 2021). Waters are classified as \"Impaired\" in ATTAINS if water quality is reported as \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). A complete list of parameters used to identify Nutrient Impaired Waters can be found at: https://mywaterway.epa.gov/attains (where ATTAINS Parameter Group equals NUTRIENT). Within ATTAINS, areas containing Assessed Waters and Impaired Waters are measured using the local drainage area of surface water segments, termed Catchments. An overlay of Catchments and HUC12s is completed to determine HUC12 values. Calculated as: Area of Catchments with Nutrient Impaired Waters in the HUC12 / Area of Assessed Catchments in the HUC12 * 100. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) Assessment Units Service (accessed August 3, 2021)"]
[404,"Stressor","Impaired Waters","Pathogen Impaired Waters Count in HUC12","IMP_WATERS_PATHOGEN_CNT_HUC12","Count of Pathogen Impaired Waters in the HUC12. Pathogen Impaired Waters are river segments, lakes, or other surface water features that are reported as not attaining surface water quality standards under Section 303(d) of the Clean Water Act due to excess levels of pathogens such as fecal coliform or E. coli. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). Waters are classified as \"Impaired\" if they fall under ATTAINS water quality assessment categories \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). A complete list of parameters used to identify Pathogen Impaired Waters can be found at: https://mywaterway.epa.gov/attains (where ATTAINS Parameter Group equals PATHOGENS). See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[405,"Stressor","Impaired Waters","Pathogen Impaired Waters, % of HUC12","IMP_WATERS_PATHOGEN_PCT_HUC12","Percent of the HUC12 containing Pathogen Impaired Waters. Pathogen Impaired Waters are river segments, lakes, or other surface water features that are reported as not attaining surface water quality standards under Section 303(d) of the Clean Water Act due to excess levels of pathogens such as fecal coliform or E. coli. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service(accessed August 3, 2021). Waters are classified as \"Impaired\" in ATTAINS if water quality is reported as \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). A complete list of parameters used to identify Pathogen Impaired Waters can be found at: https://mywaterway.epa.gov/attains (where ATTAINS Parameter Group equals PATHOGENS). Within ATTAINS, areas containing Impaired Waters are measured using the local drainage area of surface water segments, termed Catchments. An overlay of Catchments and HUC12s is completed to determine HUC12 values. Calculated as: Area of Catchments with Pathogen Impaired Waters in the HUC12 / Total Area of Catchments in the HUC12 * 100. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[406,"Stressor","Impaired Waters","Pathogen Impaired Waters, % of Assessed Area in HUC12","IMP_WATERS_PATHOGEN_PCTA_HUC12","Percent of the Assessed Area of the HUC12 containing Pathogen Impaired Waters. The Assessed Area is the portion of the HUC12 containing river segments, lakes, or other surface water features that have been assessed for attainment of surface water quality standards under Section 305(b) of the Clean Water Act. Pathogen Impaired Waters are surface water features that are not attaining water quality standards due to excess levels of pathogens such as fecal coliform or E. coli. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). Waters are classified as \"Impaired\" in ATTAINS if water quality is reported as \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). A complete list of parameters used to identify Pathogen Impaired Waters can be found at: https://mywaterway.epa.gov/attains (where ATTAINS Parameter Group equals PATHOGENS). Within ATTAINS, areas containing Assessed Waters and Impaired Waters are measured using the local drainage area of surface water segments, termed Catchments. An overlay of Catchments and HUC12s is completed to determine HUC12 values. Calculated as: Area of Catchments with Pathogen Impaired Waters in the HUC12 / Area of Assessed Catchments in the HUC12 * 100. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[407,"Stressor","Impaired Waters","Sediment Impaired Waters Count in HUC12","IMP_WATERS_SEDIMENT_CNT_HUC12","Count of Sediment Impaired Waters in the HUC12. Sediment Impaired Waters are river segments, lakes, or other surface water features that are reported as not attaining surface water quality standards under Section 303(d) of the Clean Water Act due to excess levels of suspended sediment, turbidity, or related parameters. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) Assessment Units Service (accessed August 3, 2021). Waters are classified as \"Impaired\" if they fall under ATTAINS water quality assessment categories \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). A complete list of parameters used to identify Sediment Impaired Waters can be found at: https://mywaterway.epa.gov/attains (where ATTAINS Parameter Group equals SEDIMENT or TURBIDITY). See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) Assessment Units Service (accessed August 3, 2021)"]
[408,"Stressor","Impaired Waters","Sediment Impaired Waters, % of HUC12","IMP_WATERS_SEDIMENT_PCT_HUC12","Percent of the HUC12 containing Sediment Impaired Waters. Sediment Impaired Waters are river segments, lakes, or other surface water features that are reported as not attaining surface water quality standards under Section 303(d) of the Clean Water Act due to excess levels of suspended sediment, turbidity, or related parameters. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) Assessment Units Service (accessed August 3, 2021). Waters are classified as \"Impaired\" in ATTAINS if water quality is reported as \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). A complete list of parameters used to identify Sediment Impaired Waters can be found at: https://mywaterway.epa.gov/attains (where ATTAINS Parameter Group equals SEDIMENT or TURBIDITY). Within ATTAINS, areas containing Impaired Waters are measured using the local drainage area of surface water segments, termed Catchments. An overlay of Catchments and HUC12s is completed to determine HUC12 values. Calculated as: Area of Catchments with Sediment Impaired Waters in the HUC12 / Total Area of Catchments in the HUC12 * 100. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) Assessment Units Service (accessed August 3, 2021)"]
[409,"Stressor","Impaired Waters","Sediment Impaired Waters, % of Assessed Area in HUC12","IMP_WATERS_SEDIMENT_PCTA_HUC12","Percent of the Assessed Area of the HUC12 containing Sediment Impaired Waters. The Assessed Area is the portion of the HUC12 containing river segments, lakes, or other surface water features that have been assessed for attainment of surface water quality standards under Section 305(b) of the Clean Water Act. Sediment Impaired Waters are surface water features that are not attaining water quality standards due to excess levels of suspended sediment, turbidity, or related parameters. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) Assessment Units Service(accessed August 3, 2021). Waters are classified as \"Impaired\" in ATTAINS if water quality is reported as \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). A complete list of parameters used to identify Sediment Impaired Waters can be found at: https://mywaterway.epa.gov/attains (where ATTAINS Parameter Group equals SEDIMENT or TURBIDITY). Within ATTAINS, areas containing Assessed Waters and Impaired Waters are measured using the local drainage area of surface water segments, termed Catchments. An overlay of Catchments and HUC12s is completed to determine HUC12 values. Calculated as: Area of Catchments with Sediment Impaired Waters in the HUC12 / Area of Assessed Catchments in the HUC12 * 100. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) Assessment Units Service (accessed August 3, 2021)"]
[410,"Stressor","Impaired Waters","Metals Impaired Waters Count in HUC12","IMP_WATERS_METALS_CNT_HUC12","Count of Metals Impaired Waters in the HUC12. Metals Impaired Waters are river segments, lakes, or other surface water features that are reported as not attaining surface water quality standards under Section 303(d) of the Clean Water Act due to excess levels of lead, copper, aluminum, or related parameters. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). Waters are classified as \"Impaired\" if they fall under ATTAINS water quality assessment categories \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). A complete list of parameters used to identify Metals Impaired Waters can be found at: https://mywaterway.epa.gov/attains (where ATTAINS Parameter Group equals METALS (OTHER THAN MERCURY)). See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[411,"Stressor","Impaired Waters","Metals Impaired Waters, % of HUC12","IMP_WATERS_METALS_PCT_HUC12","Percent of the HUC12 containing Metals Impaired Waters. Metals Impaired Waters are river segments, lakes, or other surface water features that are reported as not attaining surface water quality standards under Section 303(d) of the Clean Water Act due to excess levels of lead, copper, aluminum, or related parameters. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). Waters are classified as \"Impaired\" in ATTAINS if water quality is reported as \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). A complete list of parameters used to identify Metals Impaired Waters can be found at: https://mywaterway.epa.gov/attains (where ATTAINS Parameter Group equals METALS (OTHER THAN MERCURY)). Within ATTAINS, areas containing Impaired Waters are measured using the local drainage area of surface water segments, termed Catchments. An overlay of Catchments and HUC12s is completed to determine HUC12 values. Calculated as: Area of Catchments with Metals Impaired Waters in the HUC12 / Total Area of Catchments in the HUC12 * 100. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[412,"Stressor","Impaired Waters","Metals Impaired Waters, % of Assessed Area in HUC12","IMP_WATERS_METALS_PCTA_HUC12","Percent of the Assessed Area of the HUC12 containing Metals Impaired Waters. The Assessed Area is the portion of the HUC12 containing river segments, lakes, or other surface water features that have been assessed for attainment of surface water quality standards under Section 305(b) of the Clean Water Act. Metals Impaired Waters are surface water features that are not attaining water quality standards due excess levels of lead, copper, aluminum, or related parameters. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). Waters are classified as \"Impaired\" in ATTAINS if water quality is reported as \"Category 4a\" (impaired with completed TMDL), \"Category 4b\" (impaired but no TMDL required), \"Category 4c\" (impaired by a cause that is not a pollutant), or \"Category 5\" (impaired with TMDL required). A complete list of parameters used to identify Metals Impaired Waters can be found at: https://mywaterway.epa.gov/attains (where ATTAINS Parameter Group equals METALS (OTHER THAN MERCURY)). Within ATTAINS, areas containing Assessed Waters and Impaired Waters are measured using the local drainage area of surface water segments, termed Catchments. An overlay of Catchments and HUC12s is completed to determine HUC12 values. Calculated as: Area of Catchments with Metals Impaired Waters in the HUC12 / Area of Assessed Catchments in the HUC12 * 100. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[413,"Stressor","Neutral Variable","Neutral Variable, Stressor Category","NEUTRAL_STR","Equal to 0.5 for all HUC12s. Can be used for an analysis that focuses on just the Ecological and Social indicator categories, with the Stressor category left out. If using this indicator do not select any other Stressor indicators.","Not applicable"]
[414,"Social","Jurisdictional/Landowner Complexity","Single State in HUC12 Flag","SINGLE_STATE_FLAG_SOC_HUC12","Flag indicating whether the HUC12 is located entirely within a single state. A value of 1 means that the HUC12 is located in one state and a value of 0 means that the HUC12 crosses multiple states. Source data was the US Census Bureau 2013 TIGER state boundary dataset (http://www2.census.gov/geo/tiger/TIGER2013/STATE/; downloaded July 2013).","US Census Bureau TIGER state boundary polygons (2013 version)"]
[415,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (AL)","INSTATE_PCT_HUC12_AL","Percent of total HUC12 area that is within Alabama. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[416,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (AR)","INSTATE_PCT_HUC12_AR","Percent of total HUC12 area that is within Arkansas. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[417,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (AZ)","INSTATE_PCT_HUC12_AZ","Percent of total HUC12 area that is within Arizona. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[418,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (CA)","INSTATE_PCT_HUC12_CA","Percent of total HUC12 area that is within California. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[419,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (CO)","INSTATE_PCT_HUC12_CO","Percent of total HUC12 area that is within Colorado. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[420,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (CT)","INSTATE_PCT_HUC12_CT","Percent of total HUC12 area that is within Connecticut. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[421,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (DC)","INSTATE_PCT_HUC12_DC","Percent of total HUC12 area that is within Washington, DC. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[422,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (DE)","INSTATE_PCT_HUC12_DE","Percent of total HUC12 area that is within Delaware. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[423,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (FL)","INSTATE_PCT_HUC12_FL","Percent of total HUC12 area that is within Florida. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[424,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (GA)","INSTATE_PCT_HUC12_GA","Percent of total HUC12 area that is within Georgia. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[425,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (IA)","INSTATE_PCT_HUC12_IA","Percent of total HUC12 area that is within Iowa. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[426,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (ID)","INSTATE_PCT_HUC12_ID","Percent of total HUC12 area that is within Idaho. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[427,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (IL)","INSTATE_PCT_HUC12_IL","Percent of total HUC12 area that is within Illinois. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[428,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (IN)","INSTATE_PCT_HUC12_IN","Percent of total HUC12 area that is within Indiana. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[429,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (KS)","INSTATE_PCT_HUC12_KS","Percent of total HUC12 area that is within Kansas. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[430,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (KY)","INSTATE_PCT_HUC12_KY","Percent of total HUC12 area that is within Kentucky. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[431,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (LA)","INSTATE_PCT_HUC12_LA","Percent of total HUC12 area that is within Louisiana. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[432,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (MA)","INSTATE_PCT_HUC12_MA","Percent of total HUC12 area that is within Massachusetts. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[433,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (MD)","INSTATE_PCT_HUC12_MD","Percent of total HUC12 area that is within Maryland. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[434,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (ME)","INSTATE_PCT_HUC12_ME","Percent of total HUC12 area that is within Maine. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[435,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (MI)","INSTATE_PCT_HUC12_MI","Percent of total HUC12 area that is within Michigan. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[436,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (MN)","INSTATE_PCT_HUC12_MN","Percent of total HUC12 area that is within Minnesota. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[437,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (MO)","INSTATE_PCT_HUC12_MO","Percent of total HUC12 area that is within Missouri. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[438,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (MS)","INSTATE_PCT_HUC12_MS","Percent of total HUC12 area that is within Mississippi. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[439,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (MT)","INSTATE_PCT_HUC12_MT","Percent of total HUC12 area that is within Montana. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[440,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (NC)","INSTATE_PCT_HUC12_NC","Percent of total HUC12 area that is within North Carolina. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[441,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (ND)","INSTATE_PCT_HUC12_ND","Percent of total HUC12 area that is within North Dakota. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[442,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (NE)","INSTATE_PCT_HUC12_NE","Percent of total HUC12 area that is within Nebraska. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[443,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (NH)","INSTATE_PCT_HUC12_NH","Percent of total HUC12 area that is within New Hampshire. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[444,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (NJ)","INSTATE_PCT_HUC12_NJ","Percent of total HUC12 area that is within New Jersey. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[445,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (NM)","INSTATE_PCT_HUC12_NM","Percent of total HUC12 area that is within New Mexico. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[446,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (NV)","INSTATE_PCT_HUC12_NV","Percent of total HUC12 area that is within Nevada. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[447,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (NY)","INSTATE_PCT_HUC12_NY","Percent of total HUC12 area that is within New York. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[448,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (OH)","INSTATE_PCT_HUC12_OH","Percent of total HUC12 area that is within Ohio. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[449,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (OK)","INSTATE_PCT_HUC12_OK","Percent of total HUC12 area that is within Oklahoma. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[450,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (OR)","INSTATE_PCT_HUC12_OR","Percent of total HUC12 area that is within Oregon. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[451,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (PA)","INSTATE_PCT_HUC12_PA","Percent of total HUC12 area that is within Pennsylvania. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[452,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (RI)","INSTATE_PCT_HUC12_RI","Percent of total HUC12 area that is within Rhode Island. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[453,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (SC)","INSTATE_PCT_HUC12_SC","Percent of total HUC12 area that is within South Carolina. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[454,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (SD)","INSTATE_PCT_HUC12_SD","Percent of total HUC12 area that is within South Dakota. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[455,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (TN)","INSTATE_PCT_HUC12_TN","Percent of total HUC12 area that is within Tennessee. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[456,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (TX)","INSTATE_PCT_HUC12_TX","Percent of total HUC12 area that is within Texas. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[457,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (UT)","INSTATE_PCT_HUC12_UT","Percent of total HUC12 area that is within Utah. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[458,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (VA)","INSTATE_PCT_HUC12_VA","Percent of total HUC12 area that is within Virginia. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[459,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (VT)","INSTATE_PCT_HUC12_VT","Percent of total HUC12 area that is within Vermont. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[460,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (WA)","INSTATE_PCT_HUC12_WA","Percent of total HUC12 area that is within Washington. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[461,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (WI)","INSTATE_PCT_HUC12_WI","Percent of total HUC12 area that is within Wisconsin. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[462,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (WV)","INSTATE_PCT_HUC12_WV","Percent of total HUC12 area that is within West Virginia. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[463,"Social","Jurisdictional/Landowner Complexity","% of HUC12 Instate (WY)","INSTATE_PCT_HUC12_WY","Percent of total HUC12 area that is within Wyoming. Calculated from the US Census Bureau 2013 TIGER state boundary dataset from http://www2.census.gov/geo/tiger/TIGER2013/STATE/ downloaded in July 2013. Equation used: Instate Area / HUC12 Area * 100.","US Census Bureau TIGER state boundary polygons (2013 version)"]
[464,"Social","Protected Lands & Waters","% Protected Land in HUC12","PROT_LAND_PCT_HUC12","Percent of the HUC12 that is designated as a protected area. Calculated from the Protected Areas Database of the United States Version 2.1 (December 2020 version; https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview). The Protected Areas Database of the United States is the nation's inventory of protected areas, including public land and voluntarily provided private protected areas. All protected areas within the database were used to calculate this indicator. Calculated as the area of protected lands in the HUC12 divided by HUC12 area, multiplied by 100.","Protected Areas Database of the United States (PAD-US) 2.1 (December 2020 Version)"]
[465,"Social","Protected Lands & Waters","% Protected Land in HUC12, IUCN Status Ia","PROT_LAND_IUCN1A_PCT_HUC12","Percent of the HUC12 that is classified as a Category Ia protected area. The International Union for Conservation of Nature (IUCN) defines Category Ia areas as nature reserves set aside to protect biodiversity and also possibly geological/geomorphologic features, where human visitation, use, and impacts are strictly controlled and limited to ensure preservation of the conservation values. Calculated from the Protected Areas Database of the United States Version 2.1 (December 2020 version; https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview). Calculated as the area of protected lands in the HUC12 with Category Ia status divided by HUC12 area, multiplied by 100.","Protected Areas Database of the United States (PAD-US) 2.1 (December 2020 Version)"]
[466,"Social","Protected Lands & Waters","% Protected Land in HUC12, IUCN Status Ib","PROT_LAND_IUCN1B_PCT_HUC12","Percent of the HUC12 that is classified as a Category Ib protected area. The International Union for Conservation of Nature (IUCN) defines Category Ib areas as wilderness areas that are usually large unmodified or slightly modified areas, retaining their natural character and influence, without permanent or significant human habitation, which are protected and managed so as to preserve their natural condition. Calculated from the Protected Areas Database of the United States Version 2.1 (December 2020 version; https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview). Calculated as the area of protected lands in the HUC12 with Category Ib status divided by HUC12 area, multiplied by 100.","Protected Areas Database of the United States (PAD-US) 2.1 (December 2020 Version)"]
[467,"Social","Protected Lands & Waters","% Protected Land in HUC12, IUCN Status II","PROT_LAND_IUCN2_PCT_HUC12","Percent of the HUC12 that is classified as a Category II protected area. The International Union for Conservation of Nature (IUCN) defines Category II areas as large natural or near natural national park areas set aside to protect large-scale ecological processes, along with the complement of species and ecosystems characteristic of the area, which also provide a foundation for environmentally and culturally compatible spiritual, scientific, educational, recreational and visitor opportunities. Calculated from the Protected Areas Database of the United States Version 2.1 (December 2020 version; https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview). Calculated as the area of protected lands in the HUC12 with Category II status divided by HUC12 area, multiplied by 100.","Protected Areas Database of the United States (PAD-US) 2.1 (December 2020 Version)"]
[468,"Social","Protected Lands & Waters","% Protected Land in HUC12, IUCN Status III","PROT_LAND_IUCN3_PCT_HUC12","Percent of the HUC12 that is classified as a Category III protected area. The International Union for Conservation of Nature (IUCN) defines Category III areas as those set aside to protect a specific natural monument, which can be a land form, sea mount, submarine caverns, geological features such as caves or even a living feature such as an ancient grove. They are generally quite small protected areas and often have high visitor value. Calculated from the Protected Areas Database of the United States Version 2.1 (December 2020 version; https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview). Calculated as the area of protected lands in the HUC12 with Category III status divided by HUC12 area, multiplied by 100.","Protected Areas Database of the United States (PAD-US) 2.1 (December 2020 Version)"]
[469,"Social","Protected Lands & Waters","% Protected Land in HUC12, IUCN Status IV","PROT_LAND_IUCN4_PCT_HUC12","Percent of the HUC12 that is classified as a Category IV protected area. The International Union for Conservation of Nature (IUCN) defines Category IV areas as those set aside to protect particular species or habitats and management reflects this priority. Many Category IV protected areas will need regular, active interventions to address the requirements of particular species or to maintain habitats, but this is not a requirement of this category. Calculated from the Protected Areas Database of the United States Version 2.1 (December 2020 version; https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview). Calculated as the area of protected lands in the HUC12 with Category IV status divided by HUC12 area, multiplied by 100.","Protected Areas Database of the United States (PAD-US) 2.1 (December 2020 Version)"]
[470,"Social","Protected Lands & Waters","% Protected Land in HUC12, IUCN Status V","PROT_LAND_IUCN5_PCT_HUC12","Percent of the HUC12 that is classified as a Category V protected area. The International Union for Conservation of Nature (IUCN) defines Category V areas as protected lands where the interaction of people and nature over time has produced an area of distinct character with significant ecological, biological, cultural, and scenic value. Calculated from the Protected Areas Database of the United States Version 2.1 (December 2020 version; https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview). Calculated as the area of protected lands in the HUC12 with Category V status divided by HUC12 area, multiplied by 100.","Protected Areas Database of the United States (PAD-US) 2.1 (December 2020 Version)"]
[471,"Social","Protected Lands & Waters","% Protected Land in HUC12, IUCN Status VI","PROT_LAND_IUCN6_PCT_HUC12","Percent of the HUC12 that is classified as a Category VI protected area. The International Union for Conservation of Nature (IUCN) defines Category VI areas as protected lands with a sustainable use of natural resources, with much of the area in a more-or-less natural condition and a proportion of land under sustainable natural resource management. Calculated from the Protected Areas Database of the United States Version 2.1 (December 2020 version; https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview). Calculated as the area of protected lands in the HUC12 with Category VI status divided by HUC12 area, multiplied by 100.","Protected Areas Database of the United States (PAD-US) 2.1 (December 2020 Version)"]
[472,"Social","Protected Lands & Waters","% Protected Land in HUC12, Resource Extraction Not Permitted","PROT_LAND_GAP12_PCT_HUC12","Percent of the HUC12 that is classified as having Status 1 or Status 2 protection by the USGS Gap Analysis Program. Status 1 areas are defined as having permanent protection from conversion of natural land cover and a mandated management plan in operation to maintain a natural state within which disturbance events (of natural type, frequency, intensity, and legacy) are allowed to proceed without interference or are mimicked through management. Status 2 areas are defined as having permanent protection from conversion of natural land cover and a mandated management plan in operation to maintain a primarily natural state, but which may receive uses or management practices that degrade the quality of existing natural communities, including suppression of natural disturbance. These include lands held by national, state, or local governments or non-profit organizations, as well as voluntarily protected private lands. Calculated from the Protected Areas Database of the United States Version 2.1 (December 2020 version; https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview). Calculated as the area of Status 1 and Status 2 protected lands in the HUC12 divided by HUC12 area, multiplied by 100.","Protected Areas Database of the United States (PAD-US) 2.1 (December 2020 Version)"]
[473,"Social","Protected Lands & Waters","% Protected Land in HUC12, Resource Extraction Permitted","PROT_LAND_GAP3_PCT_HUC12","Percent of the HUC12 that is classified as having Status 3 protection by the USGS Gap Analysis Program. Status 3 areas are defined as having permanent protection from conversion of natural land cover for the majority of the area but are subject to extractive uses of either a broad, low-intensity type (e.g., logging) or localized intense type (e.g., mining). It also confers protection to federally listed endangered and threatened species throughout the area. These include areas held by national, state, or local governments or non-profit organizations, as well as voluntarily protected private lands. Calculated from the Protected Areas Database of the United States Version 2.1 (December 2020 version; https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview). Calculated as the area of Status 3 protected lands in the HUC12 divided by HUC12 area, multiplied by 100.","Protected Areas Database of the United States (PAD-US) 2.1 (December 2020 Version)"]
[474,"Social","Protected Lands & Waters","Presence of National Wild and Scenic Rivers in HUC12","WILD_SCENIC_RIVER_FLAG_HUC12","Presence/absence of waters designated as National Wild and Scenic Rivers in the HUC12. A value of 1 indicates that the HUC12 contains a National Wild and Scenic river. A threshold of 0.25 river miles was used as a cutoff value for defining presence/absence. Source data was the National Wild and Scenic River Segments map layer maintained by the US Forest Service, National Park Service, Bureau of Land Management and the Fish and Wildlife Service (October 2019 version; https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.WildScenicRiverSegment_LN.xml). ","National Wild and Scenic River Lines geospatial dataset (October 2019 version)"]
[475,"Social","Drinking Water Protection","% Drinking Water Source Protection Area in HUC12, Surface","DRINK_WATER_SPA_SW_PCT_HUC12","Percent of the HUC12 that is classified as a source water protection area (SPA) for public water system drinking water sources. Only includes SPAs for surface water sources of drinking water (i.e., groundwater sources are not included). Calculated from the EPA map layer titled \"Percent HUC12 in Source Water Protection Area (Surface)\" (October 5, 2021 version; https://epa.maps.arcgis.com/home/item.html?id=7b34c37c64b64c559a5d887f974f24ba). The EPA map layer reports SPA statistics by HUC12 based on data stored in the EPA Safe Drinking Water Information System/Federal Version (SDWIS/FED). However, SDWIS/FED uses a different version of HUC12s compared to the Watershed Index Online and Recovery Potential Screening Tools. To account for this difference, the SPA percentages from SDWIS/FED were area-weighted for inclusion in the Watershed Index Online and Recovery Potential Screening Tools based on an overlay analysis of the two HUC12 versions.","EPA 'Percent HUC12 in Source Water Protection Area (Surface)' geospatial dataset (October 5, 2021 version)"]
[476,"Social","Drinking Water Protection","% Drinking Water Source Protection Area in HUC12, Ground","DRINK_WATER_SPA_GW_PCT_HUC12","Percent of the HUC12 that is classified as a source water protection area (SPA) for public water system drinking water sources. Only includes SPAs for groundwater sources of drinking water (i.e., surface water sources are not included). Calculated from the EPA map layer titled \"Percent HUC12 in Source Water Protection Area (Surface)\" (October 5, 2021 version; https://epa.maps.arcgis.com/home/item.html?id=7b34c37c64b64c559a5d887f974f24ba). The EPA map layer reports SPA statistics by HUC12 based on data stored in the EPA Safe Drinking Water Information System/Federal Version (SDWIS/FED). However, SDWIS/FED uses a different version of HUC12s compared to the Watershed Index Online and Recovery Potential Screening Tools. To account for this difference, the SPA percentages from SDWIS/FED were area-weighted for inclusion in the Watershed Index Online and Recovery Potential Screening Tools based on an overlay analysis of the two HUC12 versions.","EPA 'Percent HUC12 in Source Water Protection Area (Surface)' geospatial dataset (October 5, 2021 version)"]
[477,"Social","Drinking Water Protection","Drinking Water Surface Intake Count in HUC12","DRINK_WATER_INTAKE_CNT_HUC12","Count of surface water intakes for drinking water in the HUC12. Only includes public water system surface intakes that are located in the HUC12. Calculated from the EPA map layer titled \"Percent HUC12 in Source Water Protection Area (Surface)\" (October 5, 2021 version; https://epa.maps.arcgis.com/home/item.html?id=7b34c37c64b64c559a5d887f974f24ba). The EPA map layer reports surface intake counts by HUC12 based on data stored in the EPA Safe Drinking Water Information System/Federal Version (SDWIS/FED). However, SDWIS/FED uses a different version of HUC12s compared to the Watershed Index Online and Recovery Potential Screening Tools. To account for this difference, the intake counts from SDWIS/FED were area-weighted for inclusion in the Watershed Index Online and Recovery Potential Screening Tools based on an overlay analysis of the two HUC12 versions.","EPA 'Percent HUC12 in Source Water Protection Area (Surface)' geospatial dataset (October 5, 2021 version)"]
[478,"Social","Drinking Water Protection","Drinking Water Groundwater Intake Count in HUC12","DRINK_WATER_WELL_CNT_HUC12","Count of groundwater intakes for drinking water in the HUC12. Only includes public water system groundwater intakes that are located in the HUC12. Calculated from the EPA map layer titled \"Percent HUC12 in Source Water Protection Area (Surface)\" (October 5, 2021 version; https://epa.maps.arcgis.com/home/item.html?id=7b34c37c64b64c559a5d887f974f24ba). The EPA map layer reports groundwater intake counts by HUC12 based on data stored in the EPA Safe Drinking Water Information System/Federal Version (SDWIS/FED). However, SDWIS/FED uses a different version of HUC12s compared to the Watershed Index Online and Recovery Potential Screening Tools. To account for this difference, the intake counts from SDWIS/FED were area-weighted for inclusion in the Watershed Index Online and Recovery Potential Screening Tools based on an overlay analysis of the two HUC12 versions.","EPA 'Percent HUC12 in Source Water Protection Area (Surface)' geospatial dataset (October 5, 2021 version)"]
[479,"Social","Drinking Water Protection","Drinking Water Population Served in HUC12","DRINK_WATER_POPULATION_HUC12","Number of people served by public water systems that use surface water or groundwater sources of drinking water in the HUC12. Calculated from public water system data in the EPA Safe Drinking Water Information System (SDWIS; queried May 2022). Population counts reflect active public water systems in SDWIS as of the first quarter of 2022. Population counts in SDWIS are a system-level attribute. For systems with intakes or wells in multiple HUC12s, each HUC12 is assigned the same system-level population count. A given population can therefore be counted in multiple HUC12s.","EPA Safe Drinking Water Information System (SDWIS; queried May 2022)"]
[480,"Social","Community Context","Mobile Home Parks, Count in HUC12","MOBILE_HOME_PARKS_CNT_HUC12","Count of mobile home, residential trailer, and recreational vehicle (RV) parks in the HUC12. Source data was a map layer of mobile home, residential trailer, and RV park locations from the Homeland Infrastructure Foundation-Level Data (HIFLD) database maintained by the Department of Homeland Security (September 2018 version; https://hifld-geoplatform.opendata.arcgis.com/datasets/mobile-home-parks). Calculated as the count of all mobile home, residential trailer, and recreational vehicle (RV) parks in the HUC12.","Department of Homeland Security's Homeland Infrastructure Foundation-Level Data (HIFLD) database (September 2018 version)"]
[481,"Social","Community Context","% Low-Income Population in HUC12","LOWINC_POP_PCT_HUC12","Percent of the total population in the HUC12 that resides in a low-income household. Low-income is defined as a household income level that is less than or equal to twice the federal poverty level. Calculated from a map layer of low-income population count by block group from the US Census Bureau American Community Survey 2016-2020 Five-Year Summary, prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/). Block groups are geographic units defined by the US Census Bureau for reporting demographic data. Block group boundaries do not align with HUC12 boundaries (i.e., a block group can overlap multiple HUC12s). Low-income population counts for block groups were apportioned to overlapping HUC12s using the gridded '2020 Dasymetric Population for the Conterminous United States' map layer (version 1.1; released March 2023; https://enviroatlas.epa.gov/download/2020_Dasymetric_Population_CONUS_V1_1.zip). The dasymetric population map layer provides a fine-scale estimate of the total population distribution across the landscape based on land cover and slope. The low-income population was assumed to follow the same geographic pattern as the total population. Calculated for each HUC12 as: Population in Low-Income Households in HUC12 / Total Population in HUC12 * 100.","US Census American Community Survey Survey (2016-2020) Five-Year Summary data summarized by EPA EJSCREEN (November 2022 version); EPA EnviroAtlas 2020 Dasymetric Population for the Conterminous United States (version 1.1; released March 2023)"]
[482,"Social","Community Context","% Low-Income Population, Maximum in HUC12","LOWINC_MAX_PCT_HUC12","Maximum block group percentage of people that reside in a low-income household per HUC12. Low-income is defined as a household income level that is less than or equal to twice the federal poverty level. Calculated from a map layer of low-income population count by block group from the US Census Bureau American Community Survey 2016-2020 Five-Year Summary, prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/). Block groups are geographic units defined by the US Census Bureau for reporting demographic data. This indicator was calculated by overlaying block group boundaries with HUC12s, then selecting the maximum low-income percentage among all block groups that intersected each HUC12.","US Census American Community Survey Survey (2016-2020) Five-Year Summary data summarized by EPA EJSCREEN (November 2022 version)"]
[483,"Social","Community Context","% Unemployed Population in HUC12","UNEMP_POP_PCT_HUC12","Percent of the total population in the HUC12 that is unemployed. Includes individuals that did not have a job at all during the 2016-2020 reporting period, made at least one specific active effort to find a job during the prior 4 weeks, and were available for work (unless temporarily ill). Calculated from a map layer of unemployed population count by block group from the US Census Bureau American Community Survey 2016-2020 Five-Year Summary, prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/). Block groups are geographic units defined by the US Census Bureau for reporting demographic data. Block group boundaries do not align with HUC12 boundaries (i.e., a block group can overlap multiple HUC12s). Unemployed population counts for block groups were apportioned to overlapping HUC12s using the gridded '2020 Dasymetric Population for the Conterminous United States' map layer (version 1.1; released March 2023; https://enviroatlas.epa.gov/download/2020_Dasymetric_Population_CONUS_V1_1.zip). The dasymetric population map layer provides a fine-scale estimate of the total population distribution across the landscape based on land cover and slope. The unemployed population was assumed to follow the same geographic pattern as the total population. Calculated for each HUC12 as: Unemployed Population in HUC12 / Total Population in HUC12 * 100.","US Census American Community Survey Survey (2016-2020) Five-Year Summary data summarized by EPA EJSCREEN (November 2022 version); EPA EnviroAtlas 2020 Dasymetric Population for the Conterminous United States (version 1.1; released March 2023)"]
[484,"Social","Community Context","% Unemployed Population, Maximum in HUC12","UNEMP_MAX_PCT_HUC12","Maximum block group percentage of people that are unemployed per HUC12. Includes individuals that did not have a job at all during the 2016-2020 reporting period, made at least one specific active effort to find a job during the prior 4 weeks, and were available for work (unless temporarily ill). Calculated from a map layer of unemployed population count by block group from the US Census Bureau American Community Survey 2016-2020 Five-Year Summary, prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/). Block groups are geographic units defined by the US Census Bureau for reporting demographic data. This indicator was calculated by overlaying block group boundaries with HUC12s, then selecting the maximum unemployment rate among all block groups that intersected each HUC12.","US Census American Community Survey Survey (2016-2020) Five-Year Summary data summarized by EPA EJSCREEN (November 2022 version)"]
[485,"Social","Community Context","% Minority Population in HUC12","MINORITY_POP_PCT_HUC12","Percent of the total population in the HUC12 that is in a minority group. Minority groups include individuals who define their race as other than white alone and/or list their ethnicity as Hispanic or Latino. That is, all people other than non-Hispanic white-alone individuals. Calculated from a map layer of minority population count by block group from the US Census Bureau American Community Survey 2016-2020 Five-Year Summary, prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/). Block groups are geographic units defined by the US Census Bureau for reporting demographic data. Block group boundaries do not align with HUC12 boundaries (i.e., a block group can overlap multiple HUC12s). Minority population counts for block groups were apportioned to overlapping HUC12s using the gridded '2020 Dasymetric Population for the Conterminous United States' map layer (version 1.1; released March 2023; https://enviroatlas.epa.gov/download/2020_Dasymetric_Population_CONUS_V1_1.zip). The dasymetric population map layer provides a fine-scale estimate of the total population distribution across the landscape based on land cover and slope. The minority population was assumed to follow the same geographic pattern as the total population. Calculated for each HUC12 as: Minority Population in HUC12 / Total Population in HUC12 * 100.","US Census American Community Survey Survey (2016-2020) Five-Year Summary data summarized by EPA EJSCREEN (November 2022 version); EPA EnviroAtlas 2020 Dasymetric Population for the Conterminous United States (version 1.1; released March 2023)"]
[486,"Social","Community Context","% Minority Population, Maximum in HUC12","MINORITY_MAX_PCT_HUC12","Maximum block group percentage of people in a minority group per HUC12. Minority groups include individuals who define their race as other than white alone and/or list their ethnicity as Hispanic or Latino. That is, all people other than non-Hispanic white-alone individuals. Calculated from a map layer of minority population count by block group from the US Census Bureau American Community Survey 2016-2020 Five-Year Summary, prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/). Block groups are geographic units defined by the US Census Bureau for reporting demographic data. This indicator was calculated by overlaying block group boundaries with HUC12s, then selecting the maximum minority population percentage among all block groups that intersected each HUC12.","US Census American Community Survey Survey (2016-2020) Five-Year Summary data summarized by EPA EJSCREEN (November 2022 version)"]
[487,"Social","Community Context","% Less Than High School Educated Population in HUC12","LESSHS_EDUCATED_POP_PCT_HUC12","Percent of the age 25 and over population in the HUC12 with less than a high school degree. Calculated from a map layer of the population with less than high school education by block group from the US Census Bureau American Community Survey 2016-2020 Five-Year Summary, prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/). Block groups are geographic units defined by the US Census Bureau for reporting demographic data. Block group boundaries do not align with HUC12 boundaries (i.e., a block group can overlap multiple HUC12s). Population counts for block groups were apportioned to overlapping HUC12s using the gridded '2020 Dasymetric Population for the Conterminous United States' map layer (version 1.1; released March 2023; https://enviroatlas.epa.gov/download/2020_Dasymetric_Population_CONUS_V1_1.zip). The dasymetric population map layer provides a fine-scale estimate of the total population distribution across the landscape based on land cover and slope. The population with less than high school education was assumed to follow the same geographic pattern as the total population. Calculated for each HUC12 as: Population with Less Than High School Education in HUC12 / Age 25 and Over Population in HUC12 * 100.","US Census American Community Survey Survey (2016-2020) Five-Year Summary data summarized by EPA EJSCREEN (November 2022 version); EPA EnviroAtlas 2020 Dasymetric Population for the Conterminous United States (version 1.1; released March 2023)"]
[488,"Social","Community Context","% Less Than High School Educated Population, Maximum in HUC12","LESSHS_EDUCATED_MAX_PCT_HUC12","Maximum block group percentage of the age 25 and over population with less than a high school degree per HUC12. Calculated from a map layer of the population with less than high school education by block group from the US Census Bureau American Community Survey 2016-2020 Five-Year Summary, prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/). Block groups are geographic units defined by the US Census Bureau for reporting demographic data. This indicator was calculated by overlaying block group boundaries with HUC12s, then selecting the maximum less than high school educated population percentage among all block groups that intersected each HUC12.","US Census American Community Survey Survey (2016-2020) Five-Year Summary data summarized by EPA EJSCREEN (November 2022 version)"]
[489,"Social","Community Context","% Linguistically Isolated Population in HUC12","LING_ISOLATED_POP_PCT_HUC12","Percent of households in the HUC12 that are linguistically isolated. Linguistically isolated households are those in which all members age 14 years and over speak a non-English language and also speak English less than 'very well'. Calculated from a map layer of linguistically isolated household count by block group from the US Census Bureau American Community Survey 2016-2020 Five-Year Summary, prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/). Census block groups are geographic units defined by the US Census Bureau for reporting demographic data. Block group boundaries do not align with HUC12 boundaries (i.e., a block group can overlap multiple HUC12s). Linguistically isolated household counts for block groups were apportioned to overlapping HUC12s using the gridded '2020 Dasymetric Population for the Conterminous United States' map layer (version 1.1; released March 2023; https://enviroatlas.epa.gov/download/2020_Dasymetric_Population_CONUS_V1_1.zip). The dasymetric population map layer provides a fine-scale estimate of the total population distribution across the landscape based on land cover and slope. Linguistically isolated populations were assumed to follow the same geographic pattern as the total population. Calculated for each HUC12 as: Linguistically Isolated Household Count in HUC12 / Total Household Count in HUC12 * 100.","US Census American Community Survey Survey (2016-2020) Five-Year Summary data summarized by EPA EJSCREEN (November 2022 version); EPA EnviroAtlas 2020 Dasymetric Population for the Conterminous United States (version 1.1; released March 2023)"]
[490,"Social","Community Context","% Linguistically Isolated Population, Maximum in HUC12","LING_ISOLATED_MAX_PCT_HUC12","Maximum block group percentage of households that are linguistically isolated per HUC12. Linguistically isolated households are those in which all members age 14 years and over speak a non-English language and also speak English less than 'very well'. Calculated from a map layer of linguistically isolated household count by block group from the US Census Bureau American Community Survey 2016-2020 Five-Year Summary, prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/). Census block groups are geographic units defined by the US Census Bureau for reporting demographic data. This indicator was calculated by overlaying block group boundaries with HUC12s, then selecting the maximum linguistically isolated population percentage among all block groups that intersected each HUC12.","US Census American Community Survey Survey (2016-2020) Five-Year Summary data summarized by EPA EJSCREEN (November 2022 version)"]
[491,"Social","Community Context","% Vulnerable Age Group Population in HUC12","VULN_AGE_POP_PCT_HUC12","Percent of the total population in the HUC12 that is in a vulnerable age group, defined as under age 5 or over 64 years old. Calculated from map layers of vulnerable age population counts by block group from the US Census Bureau American Community Survey 2016-2020 Five-Year Summary, prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/). Block groups are geographic units defined by the US Census Bureau for reporting demographic data. Block group boundaries do not align with HUC12 boundaries (i.e., a block group can overlap multiple HUC12s). Vulnerable age population counts for block groups were apportioned to overlapping HUC12s using the gridded '2020 Dasymetric Population for the Conterminous United States' map layer (version 1.1; released March 2023; https://enviroatlas.epa.gov/download/2020_Dasymetric_Population_CONUS_V1_1.zip). The dasymetric population map layer provides a fine-scale estimate of the total population distribution across the landscape based on land cover and slope. Vulnerable age populations were assumed to follow the same geographic pattern as the total population. Calculated for each HUC12 as: (Population Under Age 5 in HUC12 + Population Over Age 64 in HUC12) / Total Population in HUC12 * 100.","US Census American Community Survey Survey (2016-2020) Five-Year Summary data summarized by EPA EJSCREEN (November 2022 version); EPA EnviroAtlas 2020 Dasymetric Population for the Conterminous United States (version 1.1; released March 2023)"]
[492,"Social","Community Context","% Vulnerable Age Group Population, Maximum in HUC12","VULN_AGE_MAX_PCT_HUC12","Maximum block group percentage of the population that is in a vulnerable age group per HUC12, defined as under age 5 or over 64 years old. Calculated from map layers of vulnerable age population counts by block group from the US Census Bureau American Community Survey 2016-2020 Five-Year Summary, prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/). Block groups are geographic units defined by the US Census Bureau for reporting demographic data. This indicator was calculated by overlaying block group boundaries with HUC12s, then selecting the maximum vulnerable age group population percentage among all block groups that intersected each HUC12.","US Census American Community Survey Survey (2016-2020) Five-Year Summary data summarized by EPA EJSCREEN (November 2022 version)"]
[493,"Social","Community Context","Low Life Expectancy in HUC12","LOWLIFEEXP_HUC12","Inverse of the average life expectancy of people residing in the HUC12 (in years). This indicator is inverted so that higher values correspond to lower life expectancy. Calculated from a map layer of life expectancy by block group prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/), based on life expectancy data reported by the Centers for Disease Control and Prevention US Small-area Life Expectancy Estimates Project (USALEEP). Block groups are geographic units defined by the US Census Bureau for reporting demographic data. Block group boundaries do not align with HUC12 boundaries (i.e., a block group can overlap multiple HUC12s). HUC12 values of life expectancy were calculated as the population-weighted average of overlapping block group values. Population weights were determined with the gridded '2020 Dasymetric Population for the Conterminous United States' map layer (version 1.1; released March 2023; https://enviroatlas.epa.gov/download/2020_Dasymetric_Population_CONUS_V1_1.zip). The dasymetric population map layer provides a fine-scale estimate of the total population distribution across the landscape based on land cover and slope. Inverted life expectancy was calculated as: 97.5 - Life Expectancy in HUC12.","Life expectancy data reported by the Centers for Disease Control and Prevention US Small-area Life Expectancy Estimates Project (USALEEP), summarized by EPA EJSCREEN (November 2022 version); EPA EnviroAtlas 2020 Dasymetric Population for the Conterminous United States (version 1.1; released March 2023)"]
[494,"Social","Community Context","Low Life Expectancy, Maximum in HUC12","LOWLIFEEXP_MAX_HUC12","Maximum block group value of inverse life expectancy per HUC12 (in years). This indicator is inverted so that higher values correspond to lower life expectancy. Calculated from a map layer of life expectancy by block group prepared by EPA for the EJSCREEN mapping tool (November 2022 version; https://gaftp.epa.gov/EJSCREEN/2022/), based on life expectancy data reported by the Centers for Disease Control and Prevention US Small-area Life Expectancy Estimates Project (USALEEP). Block groups are geographic units defined by the US Census Bureau for reporting demographic data. Inverse life expectancy is calculated as: 97.5 - Life Expectancy in Block Group. This indicator was calculated by overlaying block group boundaries with HUC12s, then selecting the maximum inverse life expectancy among all block groups that intersected each HUC12.","Life expectancy data reported by the Centers for Disease Control and Prevention US Small-area Life Expectancy Estimates Project (USALEEP), summarized by EPA EJSCREEN (November 2022 version)"]
[495,"Social","Community Context","Freshwater Fishing Demand in HUC12","FISHING_REC_DEMAND_HUC12","The demand for recreational freshwater fishing in the HUC12 (number of fishing day trips per year). Source data were 2011 U.S. Fish and Wildlife Service Fish, Hunting, and Wildlife-Associated Recreation (FHWAR) survey data, 2011 U.S. Department of Agriculture (USDA) Forest Service National Visitor Use Monitoring program data, and 2010 population data from the U.S. Census Bureau. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B28db3b57-618c-4257-bb4a-4946e9c1e8c4%7D","EPA Enviroatlas \"Freshwater Fishing Recreation Demand by 12-Digit HUC in the Conterminous United States\" dataset (June 13, 2016 version)"]
[496,"Social","Participation in Conservation Programs","USDA Conservation Reserve Program Area in HUC12","USDA_CRP_AREA_HUC12","The area of land enrolled in the US Department of Agriculture (USDA) Conservation Reserve Program (CRP) in the HUC12. Under the USDA CRP, landowners enroll environmentally sensitive land to discontinue crop production and instead plant perennial species that provide environmental benefits. Values reflect categorical ranges of enrolled acres in the HUC12: 1= 0 acres; 2= <50 acres; 3= 50-100 acres; 4= 100-200 acres; 5= 200-500 acres; 6= 500-1000 acres; 7= >1000 acres. Source data were USDA Farm Service Agency of Conservation Reserve Program enrollment boundaries from circa-January 2016. This indicator was calculated for EPA EnviroAtlas. Additional information on source data and calculation methods can be found at: https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B7c1090d3-619f-40f7-bb01-054173ddbaef%7D","EPA Enviroatlas \"Acres of USDA Farm Service Agency Conservation Reserve Program land by 12-Digit HUC for the Conterminous United States\" dataset (October 20, 2016 version)"]
[497,"Social","Participation in Conservation Programs","% Conservation Easement in HUC12","CONS_EASEMENT_PCT_HUC12","Percent of the HUC12 that is protected by a conservation easement. Source data was the National Conservation Easement Database (September 2018 version; https://www.conservationeasement.us/). All easement polygons within the database were used for the calculation. Calculated as conservation easement area divided by HUC12 area, multiplied by 100. ","National Conservation Easement Database (September 2018 version)"]
[498,"Social","Participation in Conservation Programs","NPS Pollution Control Project Count in HUC12","NPS_PROJECTS_COUNT_HUC12","Count of Nonpoint Source (NPS) pollution control projects funded by Clean Water Act Section 319 grants located in the HUC12. Calculated from NPS project data in the EPA Grants Reporting and Tracking System (GRTS; https://www.epa.gov/nps/grants-reporting-and-tracking-system-grts; queried May 2022). GRTS is the primary tool for national tracking of Section 319 funded projects. A query of the GRTS database was performed in May 2022 to sum the number of NPS projects per HUC12. Projects in the GRTS database were only counted if: 1) at least one pollutant was entered in the project's Environmental Results attributes; 2) the project funding was appropriated between federal fiscal years 2002 and 2022; 3) the project was successfully completed or currently active at the time of the query; and 4) a HUC12 ID was entered for the project.","EPA Grants Reporting and Tracking System (GRTS; queried May 2022)"]
[499,"Social","Participation in Conservation Programs","Current NPS Pollution Control Project Count in HUC12","NPS_PROJECTS_CURRENT_CNT_HUC12","Count of current Nonpoint Source (NPS) pollution control projects funded by Clean Water Act Section 319 grants in the HUC12. Includes projects with funds appropriated within the past 7 fiscal years (2015 to 2022) that are associated with grants that have not been closed out. Calculated from NPS project data in the EPA Grants Reporting and Tracking System (GRTS; https://www.epa.gov/nps/grants-reporting-and-tracking-system-grts; queried May 2022). GRTS is the primary tool for national tracking of Section 319 funded projects. A query of the GRTS database was performed in May 2022 to sum the number of current NPS projects per HUC12. Projects in the GRTS database were only counted if: 1) at least one pollutant was entered in the project's Environmental Results attributes; 2) the project funding was appropriated between federal fiscal years 2015 and 2022; 3) the project was currently active at the time of the query; and 4) a HUC12 ID was entered for the project.","EPA Grants Reporting and Tracking System (GRTS; queried May 2022)"]
[500,"Social","Participation in Conservation Programs","NPS Pollution Control Project Presence in HUC12","NPS_PROJECTS_FLAG_HUC12","Presence/absence flag indicating whether the HUC12 contains Nonpoint Source (NPS) pollution control projects funded by Clean Water Act Section 319 grants. Calculated from NPS project data in the EPA Grants Reporting and Tracking System (GRTS; https://www.epa.gov/nps/grants-reporting-and-tracking-system-grts; queried May 2022). GRTS is the primary tool for national tracking of Section 319 funded projects. A query of the GRTS database was performed in May 2022 to identify HUC12s with NPS projects. Projects in the GRTS database were only counted if: 1) at least one pollutant was entered in the project's Environmental Results attributes; 2) the project funding was appropriated between federal fiscal years 2002 and 2022; 3) the project was successfully completed or currently active at the time of the query; and 4) a HUC12 ID was entered for the project.","EPA Grants Reporting and Tracking System (GRTS; queried May 2022)"]
[501,"Social","Participation in Conservation Programs","Sediment NPS Pollution Project Presence in HUC12","NPS_PROJECTS_SEDMT_FLAG_HUC12","Presence/absence flag indicating whether the HUC12 contains sediment-related Nonpoint Source (NPS) pollution control projects funded by Clean Water Act Section 319 grants. Calculated from NPS project data in the EPA Grants Reporting and Tracking System (GRTS; https://www.epa.gov/nps/grants-reporting-and-tracking-system-grts; queried May 2022). GRTS is the primary tool for national tracking of Section 319 funded projects. A query of the GRTS database was performed in May 2022 to identify HUC12s with sediment-related NPS projects. Projects in the GRTS database were only counted if: 1) Sedimentation-Siltation, Suspended Solids, or Turbidity were reported as target pollutants in the project's Environmental Results attributes; 2) the project funding was appropriated between federal fiscal years 2002 and 2022; 3) the project was successfully completed or currently active at the time of the query; and 4) a HUC12 ID was entered for the project.","EPA Grants Reporting and Tracking System (GRTS; queried May 2022)"]
[502,"Social","Participation in Conservation Programs","Metals NPS Pollution Project Presence in HUC12","NPS_PROJECTS_METL_FLAG_HUC12","Presence/absence flag indicating whether the HUC12 contains metals-related Nonpoint Source (NPS) pollution control projects funded by Clean Water Act Section 319 grants. Calculated from NPS project data in the EPA Grants Reporting and Tracking System (GRTS; https://www.epa.gov/nps/grants-reporting-and-tracking-system-grts; queried May 2022). GRTS is the primary tool for national tracking of Section 319 funded projects. A query of the GRTS database was performed in May 2022 to identify HUC12s with metals-related NPS projects. Projects in the GRTS database were only counted if: 1) Aluminum, Arsenic, Cadmium, Chromium, Copper, Iron, Lead, Manganese, Mercury, Selenium, Zinc, or Metals (Other) were reported as target pollutants in the project's Environmental Results attributes; 2) the project funding was appropriated between federal fiscal years 2002 and 2022; 3) the project was successfully completed or currently active at the time of the query; and 4) a HUC12 ID was entered for the project.","EPA Grants Reporting and Tracking System (GRTS; queried May 2022)"]
[503,"Social","Participation in Conservation Programs","Pathogen NPS Pollution Control Project Presence in HUC12","NPS_PROJECTS_PATHG_FLAG_HUC12","Presence/absence flag indicating whether the HUC12 contains pathogen-related Nonpoint Source (NPS) pollution control projects funded by Clean Water Act Section 319 grants. Calculated from NPS project data in the EPA Grants Reporting and Tracking System (GRTS; https://www.epa.gov/nps/grants-reporting-and-tracking-system-grts; queried May 2022). GRTS is the primary tool for national tracking of Section 319 funded projects. A query of the GRTS database was performed in May 2022 to identify HUC12s with pathogen-related NPS projects. Projects in the GRTS database were only counted if: 1) Bacteria, Coliform, Fecal Coliform, E. coli, or Pathogens (Other) were reported as target pollutants in the project's Environmental Results attributes; 2) the project funding was appropriated between federal fiscal years 2002 and 2022; 3) the project was successfully completed or currently active at the time of the query; and 4) a HUC12 ID was entered for the project.","EPA Grants Reporting and Tracking System (GRTS; queried May 2022)"]
[504,"Social","Participation in Conservation Programs","Nutrient NPS Pollution Control Project Presence in HUC12","NPS_PROJECTS_NUTR_FLAG_HUC12","Presence/absence flag indicating whether the HUC12 contains nutrient-related Nonpoint Source (NPS) pollution control projects funded by Clean Water Act Section 319 grants. Calculated from NPS project data in the EPA Grants Reporting and Tracking System (GRTS; https://www.epa.gov/nps/grants-reporting-and-tracking-system-grts; queried May 2022). GRTS is the primary tool for national tracking of Section 319 funded projects. A query of the GRTS database was performed in May 2022 to identify HUC12s with nutrient-related NPS projects. Projects in the GRTS database were only counted if: 1) Algal Growth/Chlorophyll, Ammonia, Biochemical Oxygen Demand (BOD), Dissolved Oxygen (Low), Nitrate, Nitrogen, Total Kjeldahl Nitrogen, Nutrients, Phosphorus, Phosphate, or Plants (Noxious Aquatic) were reported as target pollutants in the project's Environmental Results attributes; 2) the project funding was appropriated between federal fiscal years 2002 and 2022; 3) the project was successfully completed or currently active at the time of the query; and 4) a HUC12 ID was entered for the project.","EPA Grants Reporting and Tracking System (GRTS; queried May 2022)"]
[505,"Social","Participation in Conservation Programs","Pesticide NPS Pollution Control Project Presence in HUC12","NPS_PROJECTS_HB_PST_FLAG_HUC12","Presence/absence flag indicating whether the HUC12 contains pesticide-related Nonpoint Source (NPS) pollution control projects funded by Clean Water Act Section 319 grants. Calculated from NPS project data in the EPA Grants Reporting and Tracking System (GRTS; https://www.epa.gov/nps/grants-reporting-and-tracking-system-grts; queried May 2022). GRTS is the primary tool for national tracking of Section 319 funded projects. A query of the GRTS database was performed in May 2022 to identify HUC12s with pesticide-related NPS projects. Projects in the GRTS database were only counted if: 1)  Alachlor, Atrazine, Chlordane, DDD, DDE, DDT, Dieldrin, Dianzinon, Dioxins/Furans, Hetpachlor Epoxide, Tributyltin, Herbicide (Other), or Pesticide (Other) were reported as target pollutants in the project's Environmental Results attributes; 2) the project funding was appropriated between federal fiscal years 2002 and 2022; 3) the project was successfully completed or currently active at the time of the query; and 4) a HUC12 ID was entered for the project.","EPA Grants Reporting and Tracking System (GRTS; queried May 2022)"]
[506,"Social","Participation in Conservation Programs","PCB/PAH NPS Pollution Control Project Presence in HUC12","NPS_PROJECTS_PCBPAH_FLAG_HUC12","Presence/absence flag indicating whether the HUC12 contains Nonpoint Source (NPS) pollution control projects funded by Clean Water Act Section 319 grants that are related to Polychlorinated biphenyls (PCBs) or Polycyclic aromatic hydrocarbons (PAHs). Calculated from NPS project data in the EPA Grants Reporting and Tracking System (GRTS; https://www.epa.gov/nps/grants-reporting-and-tracking-system-grts; queried May 2022). GRTS is the primary tool for national tracking of Section 319 funded projects. A query of the GRTS database was performed in May 2022 to identify HUC12s with PCB/PAH-related NPS projects. Projects in the GRTS database were only counted if: 1) PAH 1, PAH 2, PAH 2 and 3, PAH 3, PCBs, Organics (Other Nonpriority), or Organics (Other Priority) were reported as target pollutants in the project's Environmental Results attributes; 2) the project funding was appropriated between federal fiscal years 2002 and 2022; 3) the project was successfully completed or currently active at the time of the query; and 4) a HUC12 ID was entered for the project.","EPA Grants Reporting and Tracking System (GRTS; queried May 2022)"]
[507,"Social","Water Quality Assessments & TMDLs","Assessed Waters, % of HUC12","ASSESSED_WATERS_PCT_HUC12","Percent of the HUC12 containing Assessed Waters. Assessed waters are river segments, lakes, or other surface water features that have been assessed for attainment of surface water quality standards under Section 305(b) of the Clean Water Act. Source data was the HUC12 Summary Service from the EPA ATTAINS Web Service (accessed August 3, 2021). Within ATTAINS, areas containing Assessed Waters are measured using the local drainage area of surface water segments, termed Catchments. An overlay of Catchments and HUC12s is completed to determine HUC12 values. Calculated as: Area of Catchments with Assessed Waters in the HUC12 / Total Area of Catchments in the HUC12 * 100. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[508,"Social","Water Quality Assessments & TMDLs","Waters with TMDLs, Count in HUC12","TMDL_WATERS_CNT_HUC12","Count of river segments, lakes, or other surface water features in the HUC12 with a Total Maximum Daily Load (TMDL). TMDLs are pollution reduction plans developed for surface water segments that have been identified as impaired and not attaining water quality standards under Section 303(d) of the Clean Water Act. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[509,"Social","Water Quality Assessments & TMDLs","Waters with TMDLs, % of HUC12","TMDL_WATERS_PCT_HUC12","Percent of the HUC12 containing waters with Total Maximum Daily Loads (TMDLs). TMDLs are pollution reduction plans developed for surface water segments that have been identified as impaired and not attaining water quality standards under Section 303(d) of the Clean Water Act. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). Within ATTAINS, areas containing waters with TMDLs are measured using the local drainage area of surface water segments, termed Catchments. An overlay of Catchments and HUC12s is completed to determine HUC12 values. Calculated as: Area of Catchments with TMDLs in the HUC12 / Total Area of Catchments in the HUC12 * 100. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[510,"Social","Water Quality Assessments & TMDLs","Waters with TMDLs, % of Assessed Area in HUC12","TMDL_WATERS_PCTA_HUC12","Percent of the Assessed Area of the HUC12 containing waters with Total Maximum Daily Loads (TMDLs). TMDLs are pollution reduction plans developed for surface water segments that have been identified as impaired and not attaining water quality standards under Section 303(d) of the Clean Water Act. The Assessed Area is the portion of the HUC12 containing surface water features that have been assessed for attainment of water quality standards under Section 305(b) of the Clean Water Act. Calculated from the EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021). Within ATTAINS, areas containing waters with TMDLs are measured using the local drainage area of surface water segments, termed Catchments. An overlay of Catchments and HUC12s is completed to determine HUC12 values. Calculated as: Area of Catchments with TMDLs in the HUC12 / Area of Assessed Catchments in the HUC12 * 100. See also EPA ATTAINS Web Service glossary definition.","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) HUC12 Summary Service (accessed August 3, 2021)"]
[511,"Social","Water Quality Assessments & TMDLs","303d Vision Priority in HUC12","VISION303D_PRIORITY_FLAG_HUC12","Presence/absence flag indicating whether the HUC12 contains an area that has been identified as a priority for water quality restoration or protection by a state clean water agency. EPA's Long-Term Vision for Assessment, Restoration, and Protection under the Clean Water Act Section 303(d) Program includes a goal for state clean water agencies to systematically prioritize watersheds or waters for restoration and protection. Priority areas are reported to EPA and the public in biennial water quality assessment and impairment reports prepared by states. Priority areas are also tracked in EPA's Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) database. The ATTAINS \"Assessments by HUC12 Table\" was queried in May 2022 to identify HUC12s that contain priority areas (https://gispub.epa.gov/arcgis/rest/services/OW/ATTAINS_Assessment/MapServer/7).","EPA Assessment and Total Maximum Daily Load Tracking and Implementation System (ATTAINS) Assessments by HUC12 Table (queried May 19, 2022)"]
[512,"Social","Neutral Variable","Neutral Variable, Social Category","NEUTRAL_SOC","Equal to 0.5 for all HUC12s. Can be used for an analysis that focuses on just the Ecological and Stressor indicator categories, with the Social category left out. If using this indicator do not select any other Social indicators.","Not applicable"]

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["Hydrologic Unit Code 12-Digit (HUC12)","HUC12 Name","Hydrologic Unit Code 8-Digit (HUC8)","HUC8 Name","Hydrologic Unit Code 6-Digit (HUC6)","HUC6 Name","Area of HUC12","% Land in HUC12","% Water in HUC12","% Riparian Zone (RZ) in HUC12","% Hydrologically Connected Zone (HCZ) in HUC12","% Hydrologically Active Zone (HAZ) in HUC12","Downstream HUC12","Upstream HUC12 Count, Not Including This HUC12","Upstream HUC12 Count, Including This HUC12","Upstream HUC12 Area, Not Including This HUC12","Upstream HUC12 Area, Including This HUC12","NHDPlus2 Catchment COMID at HUC12 Outlet","Flow Accumulation, Mean in HUC12","NHDPlus2 Streamlength in HUC12","NHDPlus2 Waterbody Area in HUC12","NHD High Resolution Streamlength in HUC12","NHD High Resolution Waterbody Area in HUC12","EPA Region","All States in HUC12","State1 in HUC12","State2 in HUC12","State3 in HUC12","State4 in HUC12","Single State in HUC12 Flag","Majority State in HUC12","All Counties in HUC12","Majority County in HUC12","All Level 3 EcoRegions in HUC12","Majority Level 3 EcoRegion in HUC12","% Tribal Lands in HUC12","Tribal Lands in HUC12 Flag","Adjacent to Tribal HUC12 Flag","Elevation, Mean Value in HUC12","Elevation, Minimum Value in HUC12","Elevation, Maximum Value in HUC12","Slope, Mean Value in HUC12","Average Annual Temperature in HUC12 (1981-2010)","Average Summer Temperature in HUC12 (1981-2010)","Average Annual Precipitation in HUC12 (1981-2010)","Average Summer Precipitation in HUC12 (1981-2010)","Average Annual Surface Runoff in HUC12 (1981-2010)","Average Spring Surface Runoff in HUC12 (1981-2010)","Average March Snow Water Equivalence in HUC12 (1981-2010)","Average Annual Evaporative Deficit in HUC12 (1981-2010)","% Forest in HUC12","% Deciduous Forest in HUC12","% Evergreen Forest in HUC12","% Mixed Forest in HUC12","% Forest in Hydro-Connected Zone in HUC12","% Deciduous Forest in Hydro-Connected Zone in HUC12","% Evergreen Forest in Hydro-Connected Zone in HUC12","% Mixed Forest in Hydro-Connected Zone in HUC12","% Forest in Riparian Zone in HUC12","% Deciduous Forest in Riparian Zone in HUC12","% Evergreen Forest in Riparian Zone in HUC12","% Mixed Forest in Riparian Zone in HUC12","% Forest Change in HUC12 (2001-19)","% Forest Change in Hydro-Connected Zone in HUC12 (2001-19)","% Forest Change in Riparian Zone in HUC12 (2001-19)","% Forest Remaining in HUC12","% Wetlands in HUC12","% Wetlands in Hydro-Connected Zone in HUC12","% Wetlands in Riparian Zone in HUC12","% Wetlands Change in HUC12 (2001-19)","% Wetlands Change in Hydro-Connected Zone in HUC12 (2001-19)","% Wetlands Change in Riparian Zone in HUC12 (2001-19)","% Emergent Herbaceous Wetlands in HUC12","% Emergent Herbaceous Wetlands in Hydro-Connected Zone in HUC12","% Emergent Herbaceous Wetlands in Riparian Zone in HUC12","% Woody Wetlands in HUC12","% Woody Wetlands in Hydro-Connected Zone in HUC12","% Woody Wetlands in Riparian Zone in HUC12","% Wetlands Remaining in HUC12","% Woody Vegetation in HUC12","% Woody Vegetation in Hydro-Connected Zone in HUC12","% Woody Vegetation in Riparian Zone in HUC12","% Woody Vegetation Change in HUC12 (2001-19)","% Woody Vegetation Change in Hydro-Connected Zone in HUC12 (2001-19)","% Woody Vegetation Change in Riparian Zone in HUC12 (2001-19)","% Shrub/Scrub in HUC12","% Shrub/Scrub in Hydro-Connected Zone in HUC12","% Shrub/Scrub in Riparian Zone in HUC12","% Grassland/Herbaceous in HUC12","% Grassland/Herbaceous in Hydro-Connected Zone in HUC12","% Grassland/Herbaceous in Riparian Zone in HUC12","% Open Water in HUC12","% Open Water in Hydro-Connected Zone in HUC12","% Open Water in Riparian Zone in HUC12","% Perennial Ice/Snow in HUC12","% Perennial Ice/Snow in Hydro-Connected Zone in HUC12","% Perennial Ice/Snow in Riparian Zone in HUC12","% Barren Land in HUC12","% Barren Land in Hydro-Connected Zone in HUC12","% Barren Land in Riparian Zone in HUC12","% N-Index1 in HUC12","% N-Index1 in Hydro-Connected Zone in HUC12","% N-Index1 in Riparian Zone in HUC12","% N-Index1 in Hydro-Active Zone in HUC12","% N-Index1 Change in HUC12 (2001-19)","% N-Index1 Change in Hydro-Connected Zone in HUC12 (2001-19)","% N-Index1 Change in Riparian Zone in HUC12 (2001-19)","% N-Index1 Contiguous to Water in HUC12","% N-Index2 in HUC12","% N-Index2 in Hydro-Connected Zone in HUC12","% N-Index2 in Riparian Zone in HUC12","% N-Index2 in Hydro-Active Zone in HUC12","% N-Index2 Change in HUC12 (2001-19)","% N-Index2 Change in Hydro-Connected Zone in HUC12 (2001-19)","% N-Index2 Change in Riparian Zone in HUC12 (2001-19)","% N-Index2 Contiguous to Water in HUC12","% Streamlength Near <5% Impervious Cover in HUC12","% Lakeshore Near <5% Impervious Cover in HUC12","% Waters Near <5% Impervious Cover in HUC12","% Canopy Cover, Median Value in HUC12","% Canopy Cover, Mean Value in HUC12","Slope, Standard Deviation in HUC12","Soil Stability, Mean in HUC12","Soil Stability, Mean in Hydro-Connected Zone in HUC12","% Low Runoff Potential Soils in HUC12","% Moderately Low Runoff Potential Soils in HUC12","Headwater HUC12 Flag","% Draining to 1st, 2nd, or 3rd Order Streams in HUC12","% Protected Rare Ecosystems in HUC12","% Rare Ecosystems in HUC12","Habitat Condition Index in HUC12","Habitat Condition Index in Local Buffer in HUC12","Count of At-Risk Aquatic Species in HUC12","Count of At-Risk Aquatic Animal Species in HUC12","Count of At-Risk Aquatic Plant Species in HUC12","Count of At-Risk Wetland Species in HUC12","Count of At-Risk Wetland Animal Species in HUC12","Count of At-Risk Wetland Plant Species in HUC12","Count of At-Risk Terrestrial Species in HUC12","Count of At-Risk Terrestrial Animal Species in HUC12","Count of At-Risk Terrestrial Plant Species in HUC12","Count of Reptile Species in HUC12","Presence of Critical Habitat for Aquatic Species in HUC12","Count of Aquatic Species with Critical Habitat in HUC12","Natural Biological Nitrogen Fixation in HUC12","Cultivated Biological Nitrogen Fixation in HUC12","Aquatic Condition Score, Mean in HUC12","Aquatic Condition Score at HUC12 Outlet","PHWA Watershed Health Index, State","PHWA Watershed Health Index, Ecoregion","PHWA Landscape Sub-Index, State","PHWA Landscape Sub-Index, Ecoregion","PHWA Hydrology Sub-Index, State","PHWA Hydrology Sub-Index, Ecoregion","PHWA Geomorphology Sub-Index, State","PHWA Geomorphology Sub-Index, Ecoregion","PHWA Habitat Sub-Index, State","PHWA Habitat Sub-Index, Ecoregion","PHWA Biological Sub-Index, State","PHWA Biological Sub-Index, Ecoregion","PHWA Water Quality Sub-Index, State","PHWA Water Quality Sub-Index, Ecoregion","PHWA Watershed Health Index, State Percentile","PHWA Watershed Health Index, Ecoregion Percentile","PHWA Landscape Sub-Index, State Percentile","PHWA Landscape Sub-Index, Ecoregion Percentile","PHWA Hydrology Sub-Index, State Percentile","PHWA Hydrology Sub-Index, Ecoregion Percentile","PHWA Geomorphology Sub-Index, State Percentile","PHWA Geomorphology Sub-Index, Ecoregion Percentile","PHWA Habitat Sub-Index, State Percentile","PHWA Habitat Sub-Index, Ecoregion Percentile","PHWA Biological Sub-Index, State Percentile","PHWA Biological Sub-Index, Ecoregion Percentile","PHWA Water Quality Sub-Index, State Percentile","PHWA Water Quality Sub-Index, Ecoregion Percentile","Neutral Variable, Ecological Category","% Urban in HUC12","% Urban in Hydro-Connected Zone in HUC12","% Urban in Riparian Zone in HUC12","% Urban Change in HUC12 (2001-19)","% Urban Change in Hydro-Connected Zone in HUC12 (2001-19)","% Urban Change in Riparian Zone in HUC12 (2001-19)","% Urban Contiguous to Water in HUC12","% Developed, High Intensity in HUC12","% Developed, Medium Intensity in HUC12","% Developed, Low Intensity in HUC12","% Developed, Open Space in HUC12","% Developed, High Intensity in Hydro-Connected Zone in HUC12","% Developed, Medium Intensity in Hydro-Connected Zone in HUC12","% Developed, Low Intensity in Hydro-Connected Zone in HUC12","% Developed, Open Space in Hydro-Connected Zone in HUC12","% Developed, High Intensity in Riparian Zone in HUC12","% Developed, Medium Intensity in Riparian Zone in HUC12","% Developed, Low Intensity in Riparian Zone in HUC12","% Developed, Open Space in Riparian Zone in HUC12","% Projected Change in Developed Cover in HUC12, SSP5 Scenario","% Projected Change in Developed Cover in HUC12, SSP2 Scenario","% Agriculture in HUC12","% Agriculture in Hydro-Connected Zone in HUC12","% Agriculture in Riparian Zone in HUC12","% Agriculture Change in HUC12 (2001-19)","% Agriculture Change in Hydro-Connected Zone in HUC12 (2001-19)","% Agriculture Change in Riparian Zone in HUC12 (2001-19)","% Agriculture Contiguous to Water in HUC12","% Cultivated Crops in HUC12","% Cultivated Crops in Hydro-Connected Zone in HUC12","% Cultivated Crops in Riparian Zone in HUC12","% Pasture/Hay in HUC12","% Pasture/Hay in Hydro-Connected Zone in HUC12","% Pasture/Hay in Riparian Zone in HUC12","% Agriculture on Hydric Soil in HUC12","% Nonbuffered Agriculture in HUC12","% Agriculture on > 10% Slope in HUC12","% Agriculture on > 20% Slope in HUC12","% Slope of Cropland, Mean in HUC12","% Cropland on > 3% Slope in HUC12","% Cropland on > 10% Slope in HUC12","% Slope of Cropland, Mean in Riparian Zone in HUC12","% Slope of Pasture, Mean in HUC12","% Pasture on > 10% Slope in HUC12","% Slope of Pasture, Mean in Riparian Zone in HUC12","% U-Index1 in HUC12","% U-Index1 in Hydro-Connected Zone in HUC12","% U-Index1 in Riparian Zone in HUC12","% U-Index1 Change in HUC12 (2001-19)","% U-Index1 Change in Hydro-Connected Zone in HUC12 (2001-19)","% U-Index1 Change in Riparian Zone in HUC12 (2001-19)","% U-Index1 Contiguous to Water in HUC12","% U-Index2 in HUC12","% U-Index2 in Hydro-Connected Zone in HUC12","% U-index2 in Riparian Zone in HUC12","% U-Index2 Change in HUC12 (2001-19)","% U-Index2 Change in Hydro-Connected Zone in HUC12 (2001-19)","% U-Index2 Change in Riparian Zone in HUC12 (2001-19)","% U-Index2 Contiguous to Water in HUC12","% High Intensity Land Cover in Riparian Zone in HUC12","Road Length in HUC12","Road Density in HUC12","Road & Rail Length in HUC12","Road & Rail Density in HUC12","Primary Road Length in HUC12","Primary Road Density in HUC12","Secondary Road Length in HUC12","Secondary Road Density in HUC12","Local Road Length in HUC12","Local Road Density in HUC12","Minor Roads/Trails in HUC12","Minor Road/Trail Density in HUC12","Railroad Length in HUC12","Railroad Density in HUC12","Road Length in Riparian Zone in HUC12","Road Density in Riparian Zone in HUC12","Road & Rail Length in Riparian Zone in HUC12","Road & Rail Density in Riparian Zone in HUC12","Primary Road Length in Riparian Zone in HUC12","Primary Road Density in Riparian Zone in HUC12","Secondary Road Length in Riparian Zone in HUC12","Secondary Road Density in Riparian Zone in HUC12","Local Road Length in Riparian Zone in HUC12","Local Road Density in Riparian Zone in HUC12","Minor Road/Trail Length in Riparian Zone in HUC12","Minor Road/Trail Density in Riparian Zone in HUC12","Railroad Length in Riparian Zone in HUC12","Railroad Density in Riparian Zone in HUC12","Road-Stream Crossing Count in HUC12","Road-Stream Crossing Density in HUC12","Road-Stream Crossing Count in HUC12, 1st Order","Road-Stream Crossing Count in HUC12, 2nd Order","Road-Stream Crossing Count in HUC12, 3rd Order","Road-Stream Crossing Count in HUC12, 4th Order","Road-Stream Crossing Count in HUC12, 5th Order","Road-Stream Crossing Count in HUC12, 6th Order","Road-Stream Crossing Count in HUC12, 7th Order","Road-Stream Crossing Count in HUC12, 8th Order","Road-Stream Crossing Count in HUC12, 9th Order","Road-Stream Crossing Count in HUC12, 1st-3rd Order","Road-Stream Crossing Count in HUC12, 4th-9th Order","Traffic Density in HUC12","% Impervious Cover in HUC12","% of HUC12 with >5% Impervious Cover","% of HUC12 with >15% Impervious Cover","Proximity of Waters to >5% Impervious Cover in HUC12","Proximity of Waters to >15% Impervious Cover in HUC12","% of Waters Near >5% Impervious Cover in HUC12","% of Waters Near >15% Impervious Cover in HUC12","% Streamlength Near >5% Impervious Cover in HUC12","% Streamlength Near >15% Impervious Cover in HUC12","% Lakeshore Near >5% Impervious Cover in HUC12","% Lakeshore Near >15% Impervious Cover in HUC12","Mining Site Density in HUC12","Mining Site Count in HUC12","Coal Mining Site Density in HUC12","Coal Mining Site Count in HUC12","Major Coal Mining Site Density in HUC12","Major Coal Mining Site Count in HUC12","Minor Coal Mining Site Density in HUC12","Minor Coal Mining Site Count in HUC12","Mineral Mining Site Density in HUC12","Mineral Mining Site Count in HUC12","Manure Nitrogen Application in HUC12","Synthetic Fertilizer Nitrogen Application in HUC12","Manure Phosphorus Application in HUC12","Synthetic Fertilizer Phosphorus Application in HUC12","Agricultural Phosphorus Balance in HUC12","Total Nitrogen Deposition in HUC12","Oxidized Nitrogen Wet Deposition in HUC12","Oxidized Nitrogen Dry Deposition in HUC12","Oxidized Nitrogen Total Deposition in HUC12","Reduced Nitrogen Wet Deposition in HUC12","Reduced Nitrogen Dry Deposition in HUC12","Reduced Nitrogen Total Deposition in HUC12","Sulfur Wet Deposition in HUC12","Sulfur Dry Deposition in HUC12","Sulfur Total Deposition in HUC12","Livestock Density in HUC12","Beef Cattle Count in HUC12","Dairy Cattle Count in HUC12","All Cattle Count in HUC12","Swine Count in HUC12","Sheep Count in HUC12","Horse Count in HUC12","Chicken Count in HUC12","Turkey Count in HUC12","Duck Count in HUC12","Population in HUC12","Population Density in HUC12","Population in Riparian Zone in HUC12","Population Density in Riparian Zone in HUC12","% Population in Riparian Zone in HUC12","Housing Unit Density in HUC12","Septic System Count in HUC12","NPDES Permit Count in HUC12","NPDES Major Permit Count in HUC12","NPDES Effluent Violations Count in HUC12","Risk Management Plan Site Count in HUC12","Hazardous Waste Management Site Count in HUC12","Toxic Release Inventory Site Count in HUC12","Toxic Release and Exposure Potential in HUC12","Superfund Site Count in HUC12","Dam Count in HUC12","Dam Density in HUC12","Dam Storage Volume in HUC12","Dam Storage Ratio in HUC12","Canal Density in HUC12","% Tile Drained Area in HUC12","% Ditch Drained Area in HUC12","% Tile or Ditch Drained in HUC12","Domestic Water Demand in HUC12","Agricultural Water Demand in HUC12","Industrial Water Demand in HUC12","Thermoelectric Water Demand in HUC12","Nitrogen Yield in HUC12","Phosphorus Yield in HUC12","Suspended Solid Yield in HUC12","Wildfire Hazard Potential, Mean in HUC12","% High or Very High Wildfire Hazard Potential in HUC12","Projected Change in Annual Temperature in HUC12","Projected Change in Summer Temperature in HUC12","% Projected Change in Annual Precipitation in HUC12","% Projected Change in Annual Precipitation in HUC12, Inverse","% Projected Change in Summer Precipitation in HUC12","% Projected Change in Summer Precipitation in HUC12, Inverse","% Projected Change in Annual Runoff in HUC12","% Projected Change in Annual Runoff in HUC12, Inverse","% Projected Change in Spring Runoff in HUC12","% Projected Change in Spring Runoff in HUC12, Inverse","% Projected Decrease in March Snow Water Equivalence in HUC12","% Projected Change in Annual Evaporative Deficit in HUC12","% Projected Coastal Flooding in HUC12, 2-Foot Sea Level Rise","% Projected Coastal Flooding in HUC12, 10-Foot Sea Level Rise","% Hurricane Storm Surge Zone in HUC12, Category 2","% Hurricane Storm Surge Zone in HUC12, Category 4","% 100-Year Flood Zone (Modeled) in HUC12","% 100-Year Flood Zone in HUC12","Soil Erodibility, Mean in HUC12","Soil Erodibility, Mean in Hydro-Connected Zone in HUC12","% Moderately High Runoff Potential Soils in HUC12","% High Runoff Potential Soils in HUC12","PHWA Watershed Vulnerability Index, State","PHWA Watershed Vulnerability Index, Ecoregion","PHWA Land Use Vulnerability Sub-Index, State","PHWA Land Use Vulnerability Sub-Index, Ecoregion","PHWA Water Use Vulnerability Sub-Index, State","PHWA Water Use Vulnerability Sub-Index, Ecoregion","PHWA Wildfire Vulnerability Sub-Index, State","PHWA Wildfire Vulnerability Sub-Index, Ecoregion","PHWA Watershed Vulnerability Index, State Percentile","PHWA Watershed Vulnerability Index, Ecoregion Percentile","PHWA Land Use Vuln. Sub-Index, State Percentile","PHWA Land Use Vuln. Sub-Index, Ecoregion Percentile","PHWA Wildfire Vuln. Sub-Index, State Percentile","PHWA Wildfire Vuln. Sub-Index, Ecoregion Percentile","PHWA Water Use Vuln. Sub-Index, State Percentile","PHWA Water Use Vuln. Sub-Index, Ecoregion Percentile","Impaired Waters Count in HUC12","Impairment Count in HUC12","Impairment Cause Count in HUC12","Impaired Waters, % of HUC12","Impaired Waters, % of Assessed Area in HUC12","Nutrient Impaired Waters Count in HUC12","Nutrient Impaired Waters, % of HUC12","Nutrient Impaired Waters, % of Assessed Area in HUC12","Pathogen Impaired Waters Count in HUC12","Pathogen Impaired Waters, % of HUC12","Pathogen Impaired Waters, % of Assessed Area in HUC12","Sediment Impaired Waters Count in HUC12","Sediment Impaired Waters, % of HUC12","Sediment Impaired Waters, % of Assessed Area in HUC12","Metals Impaired Waters Count in HUC12","Metals Impaired Waters, % of HUC12","Metals Impaired Waters, % of Assessed Area in HUC12","Neutral Variable, Stressor Category","Single State in HUC12 Flag ","% of HUC12 Instate (AL)","% of HUC12 Instate (AR)","% of HUC12 Instate (AZ)","% of HUC12 Instate (CA)","% of HUC12 Instate (CO)","% of HUC12 Instate (CT)","% of HUC12 Instate (DC)","% of HUC12 Instate (DE)","% of HUC12 Instate (FL)","% of HUC12 Instate (GA)","% of HUC12 Instate (IA)","% of HUC12 Instate (ID)","% of HUC12 Instate (IL)","% of HUC12 Instate (IN)","% of HUC12 Instate (KS)","% of HUC12 Instate (KY)","% of HUC12 Instate (LA)","% of HUC12 Instate (MA)","% of HUC12 Instate (MD)","% of HUC12 Instate (ME)","% of HUC12 Instate (MI)","% of HUC12 Instate (MN)","% of HUC12 Instate (MO)","% of HUC12 Instate (MS)","% of HUC12 Instate (MT)","% of HUC12 Instate (NC)","% of HUC12 Instate (ND)","% of HUC12 Instate (NE)","% of HUC12 Instate (NH)","% of HUC12 Instate (NJ)","% of HUC12 Instate (NM)","% of HUC12 Instate (NV)","% of HUC12 Instate (NY)","% of HUC12 Instate (OH)","% of HUC12 Instate (OK)","% of HUC12 Instate (OR)","% of HUC12 Instate (PA)","% of HUC12 Instate (RI)","% of HUC12 Instate (SC)","% of HUC12 Instate (SD)","% of HUC12 Instate (TN)","% of HUC12 Instate (TX)","% of HUC12 Instate (UT)","% of HUC12 Instate (VA)","% of HUC12 Instate (VT)","% of HUC12 Instate (WA)","% of HUC12 Instate (WI)","% of HUC12 Instate (WV)","% of HUC12 Instate (WY)","% Protected Land in HUC12","% Protected Land in HUC12, IUCN Status Ia","% Protected Land in HUC12, IUCN Status Ib","% Protected Land in HUC12, IUCN Status II","% Protected Land in HUC12, IUCN Status III","% Protected Land in HUC12, IUCN Status IV","% Protected Land in HUC12, IUCN Status V","% Protected Land in HUC12, IUCN Status VI","% Protected Land in HUC12, Resource Extraction Not Permitted","% Protected Land in HUC12, Resource Extraction Permitted","Presence of National Wild and Scenic Rivers in HUC12","% Drinking Water Source Protection Area in HUC12, Surface","% Drinking Water Source Protection Area in HUC12, Ground","Drinking Water Surface Intake Count in HUC12","Drinking Water Groundwater Intake Count in HUC12","Drinking Water Population Served in HUC12","Mobile Home Parks, Count in HUC12","% Low-Income Population in HUC12","% Low-Income Population, Maximum in HUC12","% Unemployed Population in HUC12","% Unemployed Population, Maximum in HUC12","% Minority Population in HUC12","% Minority Population, Maximum in HUC12","% Less Than High School Educated Population in HUC12","% Less Than High School Educated Population, Maximum in HUC12","% Linguistically Isolated Population in HUC12","% Linguistically Isolated Population, Maximum in HUC12","% Vulnerable Age Group Population in HUC12","% Vulnerable Age Group Population, Maximum in HUC12","Low Life Expectancy in HUC12","Low Life Expectancy, Maximum in HUC12","Freshwater Fishing Demand in HUC12","USDA Conservation Reserve Program Area in HUC12","% Conservation Easement in HUC12","NPS Pollution Control Project Count in HUC12","Current NPS Pollution Control Project Count in HUC12","NPS Pollution Control Project Presence in HUC12","Sediment NPS Pollution Project Presence in HUC12","Metals NPS Pollution Project Presence in HUC12","Pathogen NPS Pollution Control Project Presence in HUC12","Nutrient NPS Pollution Control Project Presence in HUC12","Pesticide NPS Pollution Control Project Presence in HUC12","PCB/PAH NPS Pollution Control Project Presence in HUC12","Assessed Waters, % of HUC12","Waters with TMDLs, Count in HUC12","Waters with TMDLs, % of HUC12","Waters with TMDLs, % of Assessed Area in HUC12","303d Vision Priority in HUC12","Neutral Variable, Social Category"]
["140700060101","Tsagieto Canyon","14070006","Lower Lake Powell","140700","Upper Colorado-Dirty Devil",84944700,97.92,2.08,12.7,14.85,24.5,"140700060103",0,1,0,84.94625301,3528127,333.9179993,51.68,0,96.3639373433,0,"08,09","AZ,UT","AZ","UT",null,null,0,"AZ","Coconino County-AZ, San Juan County-UT","Coconino County-AZ","20","20",100,1,0,6385.1098633,4197.6201172,10328.2001953,14.3900995,18.19,23.76,336.6,200.19,57.37,30.89,32.99,473.79,16.55,0,16.55,0,0.56,0,0.56,0,0.74,0,0.74,0,-0.26,0,0,66.9616180188463,0,0,0,0,0,0,0,0,0,0,0,0,86.0680666183925,99.27,14.84,12.65,-0.02,0,0,82.72,14.28,11.91,0.05,0,0,0,0,0,0,0,0,0.64,0,0.04,99.96,14.84,12.69,24.49,0,0,0,96.82,99.32,14.84,12.65,24.45,-0.01,0,0,96.16,100,100,100,4,9.21504932032,13.5737,0.63,0.72,46.02,16.84,1,99.977747,null,0,4.83,5,0,0,0,1,1,0,2,1,1,21,0,0,2.33923600461,0,51.9359946703305,null,0.9069754,0.8146534,0.8304626,0.8644947,0.9059539,0.9068008,0.9401272,0.939255,0.8583333,0.7400612,null,0.6226556,1,null,53.88258,47.46193,31.06061,67.82995,71.02273,91.56091,54.89268,61.54822,40.72427,18.62683,null,81.1609,100,null,0.5,0.03,0.01,0,0,0,0,0,0,0,0,0.03,0,0,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.04,0.01,0,0,0,0,0,0.68,0.01,0.04,0.01,0,0,0.03,0,85.78,1.01,0,0,0,0,0,0,61.86,0.73,23.92,0.28,0,0,11.47,1.06,0,0,0,0,0,0,8.52,0.79,2.95,0.27,0,0,39,0.4591,17,22,0,0,0,0,0,0,0,39,0,0,0.023,0.11,0.03,-0.11,-0.03,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.9696382504,0.581506969261,1.54041351304,2.12192015546,0.545940856117,0.301776567584,0.847717768091,0.536134030992,1.54273020836,2.07886423935,0.00809060960862457,133,0,133,2,114,25,6,0,0,25,0.3,4,0.44,16,0.177408160013693,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.666E-3,7.5667668548e-11,0,0,6.5,1.9,151.2,13.79,0,3.76,3.81,8.02,-8.02,7.37,-7.37,13.39,-13.39,-17.72,17.72,79.02,32,null,null,0,0,1.3,0,0.37,0.28,18.05,0,1.117191E-3,1.486181E-3,1.165001e-11,1.45625E-10,0.000197,0.001266204,0.003154574,0.003192338,2.651515,5.01269,0.8838384,2.220812,9.911616,13.57868,58.42803,66.68782,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,0,0,0,60.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,39.9,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,75,77.3,33.33,44.55,100,99.52,40,48.39,20,17.44,25,21.88,22.4,22.4,85.2502056807,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["140700060102","Upper Aztec Creek","14070006","Lower Lake Powell","140700","Upper Colorado-Dirty Devil",81975600,96.97,3.03,18.26,4.84,19.69,"140700060103",0,1,0,81.98768531,3528221,335.7139893,65.35,0,115.9863624,0,"08,09","AZ,UT","AZ","UT",null,null,0,"AZ","Coconino County-AZ, San Juan County-UT","Coconino County-AZ","20,22","20",100,1,0,5096.5097656,4181.6401367,6673.0800781,19.2710991,20.79,26.69,212.4,138.4,11.32,3.09,0.31,677.48,0.59,0,0.59,0,0.01,0,0.01,0,0.04,0,0.04,0,0,0,0,16.8083844176389,0.1,0.1,0.1,0,0,0,0.03,0.03,0.03,0.07,0.07,0.07,61.5850580514891,99.55,4.8,18.14,-0.02,-0.02,-0.01,98.9,4.73,18.04,0.01,0,0.01,0,0,0,0,0,0,0.41,0,0.08,100,4.84,18.26,19.69,0,0,0,95.88,99.59,4.84,18.18,19.62,0,0,0,95.44,100,100,100,0,0.803763558913,12.4586,0.64,0.63,null,null,1,99.9934158,null,0,4.74,5,0,0,0,0,0,0,0,0,0,22,0,0,1.97032401579,0.0464735850692,43.0543446543981,null,0.8793814,0.7376687,0.8162514,0.8412333,0.7973224,0.7956537,1,1,0.7833333,0.6024465,null,0.4490099,1,null,35.00631,21.38325,15.56187,49.17513,35.89015,48.22335,100,100,27.47776,11.4431,null,48.87984,100,null,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0,0,0,0,0,0,0,0.41,0,0.08,0,0,0,0.04,0,0.63,0.01,0,0,0,0,0,0,0.63,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.210498005152,0.0710772499442,0.294311443005,0.0361218904025,0.244908623092,2.43092608086,0.44672787102,1.27308177236,1.71980936998,0.426923207524,0.284193229959,0.711116437483,0.424656003641,1.14379814864,1.56845415229,0.00159474101662547,25,0,25,0,23,5,1,0,0,4,0.05,0,0,0,0.189640611635337,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.000476,0,0,0,7.4,2.8,8.8,4.64,0,3.76,3.8,7.99,-7.99,7.68,-7.68,15.16,-15.16,-21.56,21.56,96.77,24,null,null,0,0,2.28,0,0.36,0.37,null,null,8.526311e-06,5.480213e-05,1.0265E-10,2.36625E-10,2.557883e-05,0.0001644062,0,0,0.2525253,1.07868,1.136364,2.918782,6.912879,8.312183,40.08838,49.55584,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,0,0,0,94.7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.3,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,75,77.3,0,44.55,100,99.52,33.33,48.39,0,17.44,25,21.88,22.4,22.4,86.6292232573,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["140700060105","Mountain Sheep Canyon-Lake Powell","14070006","Lower Lake Powell","140700","Upper Colorado-Dirty Devil",165433500,89.93,10.07,17.51,15.29,20.14,"140700060109",2973,2974,271590.9894,271756.4211,3527941,405386,16.64,22.19,168.926648121,18.9251175103,"08,09","AZ,UT","AZ","UT",null,null,0,"UT","Coconino County-AZ, Kane County-UT, San Juan County-UT","San Juan County-UT","20","20",46.6796945028667,1,0,4657.7299805,3686.6699219,7581.0400391,18.1504002,21.65,27.63,200.14,133.58,10.91,3.09,0.15,733.02,2.96,0,2.96,0,0.25,0,0.25,0,0.1,0,0.1,0,0,0,0,21.0334446587328,0.07,0.07,0.07,0.07,0.07,0.07,0.06,0.06,0.06,0,0,0,48.3583041122091,82.18,4.99,6.55,1.01,0.94,0.96,79.22,4.74,6.45,0.94,0.41,0.5,9.5,9.5,9.5,0,0,0,7.3,0.34,0.9,90.49,5.79,8.01,10.64,1.44,1.32,1.4,89.21,83.19,5.45,7.11,9.59,1.45,1.32,1.39,81.13,100,100,100,0,1.41409569404,16.3556004,0.66,0.72,null,null,0,54.3916434,null,0,5,5,0,0,0,0,0,0,0,0,0,23,0,0,1.13069399973,0,34.8666666667,null,0.7161189,0.7668245,0.7767542,0.765022,0.7834631,0.7801683,1,1,1,1,0.3364961,0.2889321,0.4,null,25.04202,30.01269,13.7395,14.2132,36.80672,40.54569,100,100,100,100,32.73927,21.07943,30.88235,null,0.5,0.01,0,0,0,0,0,0,0,0,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.01,0,0,0,0,0,0,7.32,0.34,0.9,0,0,0.01,3.58,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1E-3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.37369026608,0.446477837373,1.19912952193,1.64560720756,0.40918426245,0.318898570222,0.72808290678,0.45065860185,0.673574066605,1.12423313227,3.9883124619281E-4,14,0,14,0,3,2,1,0,0,4,0.03,0,0,0,0.220710631098055,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.000702,0,0,0,2.4,3.7,49.5,9.96,0,3.78,3.81,7.63,-7.63,7.09,-7.09,10.4,-10.4,-23.8,23.8,100,22,null,null,0,0,3.22,null,0.34,0.28,null,null,0.004354332,0.004800606,1.39E-3,1.39E-3,4.5088e-05,2.424646E-4,0.01162791,0.01276935,4.831933,8.121827,8.109244,11.67513,16.21849,19.03553,53.40336,53.87056,1,1,1,33.741,100,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.8,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,99.2,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,52.11,0,0,0,0,0,0,0,60,77.3,33.33,44.55,100,99.52,33.33,48.39,0,17.44,20,21.88,22.4,22.4,146.150678903,0,0,0,0,0,0,0,0,0,0,0,33.741,0,0,0,0,0.5]
["140700060108","Wetherill Canyon","14070006","Lower Lake Powell","140700","Upper Colorado-Dirty Devil",62730000,96.72,3.28,10.66,9.62,15.35,"140700060109",0,1,0,62.72403431,3528011,5313.9902344,18.43,2.54,80.8479566582,1.94038845914,"08,09","AZ,UT","AZ","UT",null,null,0,"UT","Coconino County-AZ, San Juan County-UT","San Juan County-UT","20","20",95.3524436759126,1,0,5029.6801758,3699.7900391,6450.8100586,17.3029003,21.12,27.07,207.49,136.93,9.26,2.13,0.08,697.34,0.34,0,0.33,0,0,0,0,0,0.01,0,0.01,0,0.01,0,0,12.4777783116322,0.02,0.02,0.02,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,0.01,55,97.53,7.18,8.2,0.62,0.59,0.6,97.19,7.18,8.19,0.25,0.23,0.24,2.2,2.2,2.2,0,0,0,0.02,0,0.01,97.8,7.43,8.46,13.16,0.84,0.82,0.83,95.24,97.78,7.42,8.45,13.15,0.84,0.81,0.83,95.22,100,100,100,0,0.766284074605,17.5221004,0.63,0.72,null,null,1,99.8751808,null,0,5,5,0,0,0,0,0,0,0,0,0,23,0,0,1.73342706546,0,null,null,0.9170089,0.8941656,0.8043928,0.7994624,0.7806518,0.7772,1,1,1,1,null,null,1,null,85.5042,82.80457,19.70588,20.11421,35.33613,39.14975,100,100,100,100,null,null,100,null,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0,0,0,0,0,0,0,0.02,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.40089049997,0.508802441034,1.15449285334,1.66329576788,0.459524333593,0.278070278899,0.737595176415,0.50332518649,0.874378288779,1.37770347527,0.00047094049878721,6,0,6,0,3,1,0,0,0,4,0.07,0,0,0,0.172383132961273,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.00054,0,0,0,2.2,3,84.5,9.02,0,3.78,3.81,7.93,-7.93,7.47,-7.47,19.7,-19.7,-9.85,9.85,100,23,null,null,0,0,5.43,null,0.37,0.28,null,null,0.0004067253,0.0004573347,0.001185493,0.001185493,3.468308e-05,1.865112E-4,0,0,2.016807,2.411168,7.731092,11.29442,6.680672,8.312183,51.55462,50.88832,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,0,0,0,45.9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,54.1,0,0,0,0,0,0,99.99,0,0,0,0,0,0,0,0,5.53,0,0,0,0,0,0,0,100,77.3,0,44.55,100,99.52,100,48.39,0,17.44,0,21.88,22.4,22.4,62.3050923645,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
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["140700060601","Potato Canyon","14070006","Lower Lake Powell","140700","Upper Colorado-Dirty Devil",63259200,97.06,2.94,16.78,11.74,24.85,"140700060606",0,1,0,63.25947258,3529599,342.8129883,47.43,0,74.4075585407,0.00235801573349,"09","AZ","AZ",{"$nulls":3},1,"AZ","Coconino County-AZ","Coconino County-AZ","22","22",100,1,0,6095.25,5189.3100586,7117.9599609,10.8062,19.6,25.28,234.33,156.02,13.9,4.72,0.85,600.08,2.32,0,2.32,0,0.32,0,0.32,0,0.24,0,0.24,0,0,0,0,100,0.55,0.55,0.55,0,0,0,0.08,0.08,0.08,0.47,0.47,0.47,66.5997993981946,98.21,11.45,16.4,0,-0.01,-0.01,95.42,10.66,15.69,0.25,0.04,0.06,0,0,0,0,0,0,0.57,0,0.06,99.1,11.56,16.59,24.51,0,0,0,94.09,98.53,11.56,16.53,24.45,0,0,0,93.46,98.73,100,98.73,0,1.12901206465,12.0148001,0.64,0.64,null,null,1,99.9999998,null,0,4.73,4.97,0,0,0,0,0,0,0,0,0,21,0,0,8.18060001468,0.0268466882408,null,null,0.9030136,0.8635107,0.8268167,0.8222939,0.9366341,0.9324022,0.9766169,0.9693468,0.775,0.73,null,null,1,null,50.66288,48.5115,26.89394,24.69553,81.53409,67.59134,83.99621,89.24222,25.73062,19.71545,null,null,100,null,0.5,0.9,0.17,0.18,0,0,0,0.86,0,0.02,0.2,0.67,0,0,0.05,0.12,0,0,0.02,0.17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0327225141227,0,0,1.56333333333,1.42271796039153E-3,0,1.56333333333,0.735,0,0.735,0.9,0.17,0.18,0,0,0,0.86,1.47,0.17,0.24,0,0,0,0.87,0,50.98,0.81,0,0,0,0,7.51,0.12,32.84,0.52,10.63,0.17,0,0,4.29,0.4,0,0,0,0,0.79,0.07,3.5,0.32,0,0,0,0,12,0.1897,12,0,0,0,0,0,0,0,0,12,0,4210,0.115,0.47,0.29,0.8,0.37,1.27,0.66,1.27,0.66,0,0,0,0,0,0,0,0,0,0,0,0,0.121599704027,0.0410596393049,0.165082256504,0.0202649562331,0.137371716589,2.67284304588,0.580499901551,1.22442320895,1.8049231105,0.579151442426,0.288768492955,0.867919935381,0.45533400611,1.49363481976,1.94896882587,2.8281057127307E-3,34,0,34,0,32,7,2,0,0,58,0.95,3,0.34,5,0.389060973523985,11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.007609,0,0,0,6.3,2.1,197.4,4.35,0,3.73,3.78,7.2,-7.2,7.44,-7.44,7.63,-7.63,-36.32,36.32,96.47,26,null,null,0,0,4.21,0,0.36,0.36,null,null,0.0006620574,0.001191226,0,0,0.0004088851,0.001781563,0.001577287,0.001792115,2.525253,3.991881,0.7575758,0.67659,8.806818,17.86198,64.26768,61.16373,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,69.05,77.3,28.57,31.49,100,100,40,48.39,18.18,25.37,21.43,26.19,22.4,22.4,90.41402179,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["140700060602","Binne Etteni Canyon-Navajo Creek","14070006","Lower Lake Powell","140700","Upper Colorado-Dirty Devil",80909100,96.64,3.36,18.85,6.84,21.19,"140700060606",0,1,0,80.90934604,3529623,309.9930115,68.46,0,96.5617664363,0.004779922807,"09","AZ","AZ",{"$nulls":3},1,"AZ","Coconino County-AZ, Navajo County-AZ","Coconino County-AZ","22","22",100,1,0,6067.3901367,5198.3999023,6892.7001953,14.1028996,19.65,25.26,231,153.46,14.48,5.08,0.82,603.71,2.53,0,2.53,0,0.22,0,0.22,0,0.31,0,0.31,0,-0.01,0,-0.01,68.6181979059136,0.63,0.63,0.63,0,0,0,0.1,0.1,0.1,0.53,0.53,0.53,65.3514376996805,98.75,6.67,18.54,-0.04,-0.03,-0.04,95.68,5.92,17.7,0.32,0.05,0.1,0,0,0,0,0,0,0.77,0,0.09,99.94,6.83,18.84,21.17,0,0,0,95.44,99.17,6.83,18.75,21.08,0,0,0,94.6,100,100,100,0,1.34849108444,14.1737003,0.63,0.62,null,null,1,99.9999933,null,0,4.69,5,2,0,2,1,0,1,2,0,2,21,0,0,8.24058430256,0.099088974297,41.6354964045984,42.9666666667,0.8894528,0.807775,0.8204212,0.8144439,0.8890818,0.8887721,0.9960945,0.9952976,0.7416667,0.69,null,0.6503616,1,null,40.75126,21.7862,19.44444,19.35047,66.09848,46.75237,94.44444,95.94046,21.28335,15.65041,null,48.40525,100,null,0.5,0.05,0.01,0,0,0,0,0,0,0,0,0.05,0,0,0,0.01,0,0,0,0,0,0,0.01,0.01,0.01,0,0,0,0,0,0,0,0.01,0.01,0.01,0,0.0378202199936,0.00111235942557759,0,2.485,0.00444943770231037,0.00111235942557759,2.485,0.76375,0,0.76375,0.06,0.02,0.01,0,0,0,0,0.83,0.02,0.11,0,0,0,0.01,0,61.56,0.76,0,0,0,0,0,0,38.18,0.47,23.38,0.29,0,0,0.68,0.04,0,0,0,0,0,0,0.33,0.02,0.35,0.02,0,0,2,0.0247,2,0,0,0,0,0,0,0,0,2,0,0,2E-3,0.01,0,-0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.44881477952,0.151547849178,0.58734537688,0.0721093215433,0.48875417844,2.58409642093,0.561646542044,1.18411538237,1.74576192441,0.54648079507,0.291853701451,0.838334811005,0.439674787763,1.37281349491,1.81248828267,4.77246006312708E-3,73,0,73,1,72,15,4,0,0,89,1.14,0,0,0,0.192394777361157,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.011244,0,0,0,16.5,5.4,254.6,4.46,0,3.73,3.78,7.18,-7.18,7.64,-7.64,5.16,-5.16,-38.63,38.63,96.34,26,null,null,0,0,7.1,0,0.37,0.38,null,null,0.0003687466,0.001044893,0.0005020206,5.020208E-4,0.0006042192,2.632658E-3,0,0,1.736111,3.856563,4.482323,6.495264,6.912879,13.93775,67.45581,66.03518,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0.2,0,0,0,0.2,0,0,0,0,0,0,0,0,64.63,77.3,30.43,31.49,98.8,100,37.25,48.39,20.83,24.59,26.51,31.6,22.3,22.4,115.836160898,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["140700060603","Geshi Canyon","14070006","Lower Lake Powell","140700","Upper Colorado-Dirty Devil",68051700,95.68,4.32,21.05,7.47,23.36,"140700060606",0,1,0,68.05449317,3529607,382.2630005,46.45,0,81.508736301,2.13077448279E-3,"09","AZ","AZ",{"$nulls":3},1,"AZ","Coconino County-AZ, Navajo County-AZ","Coconino County-AZ","22","22",100,1,0,6149.2900391,5145.9301758,7330.4599609,19.8463001,19.15,24.74,243.71,159.94,19.62,8.4,2.28,578.86,5.43,0.03,5.4,0,0.48,0,0.48,0,0.5,0.01,0.49,0,0,0,0,42.6011560693642,2.08,2.08,2.08,0,0,0,0.28,0.28,0.28,1.8,1.8,1.8,53.194297782471,98.94,7.1,20.64,0.03,0.03,0.03,91.72,4.82,18.34,0.33,0.04,0.02,0,0,0,0,0,0,0.36,0,0.04,99.91,7.43,20.98,23.29,0,0,0,94.1,99.55,7.43,20.94,23.25,0,0,0,93.75,100,100,100,0,2.4831312076,17.2879009,0.63,0.64,null,null,1,99.9881013,null,0,4.91,5,1,0,1,1,1,0,2,1,1,19,0,0,3.89312045579,0.0667742341757,42.5844070855455,45.2,0.9130385,0.8449189,0.8255878,0.8212808,0.8236421,0.8225381,0.9909626,0.9880686,0.925,0.91,null,0.6827068,1,null,59.43813,37.9567,25.31566,24.15426,47.47475,30.98782,91.98232,94.65494,54.16137,44.17344,null,55.34709,100,null,0.5,0.03,0,0,0,0,0,0,0,0,0,0.03,0,0,0,0,0,0,0,0,0,0,0.06,0.04,0.06,0,0,0,0.03,0,0,0,0.06,0.04,0.06,0,0,0.0277730019970111,0.00925766733233703,null,0,0,null,7.08361702128,0.0277730019970111,7.08361702128,0.09,0.04,0.06,0,0,0,0.03,0.45,0.04,0.11,0,0,0,0.03,0,25.78,0.38,0,0,0,0,0,0,25.54,0.38,0.24,0,0,0,2.29,0.16,0,0,0,0,0,0,2.29,0.16,0,0,0,0,5,0.0735,2,3,0,0,0,0,0,0,0,5,0,0,0.013,0.07,0,-0.07,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.284951001406,0.0996257290244,0.386141232478,0.0474187987274,0.321323957369,2.57601289005,0.536752713637,1.2206998305,1.75745254413,0.51896475347,0.299595592452,0.818560345922,0.434875410285,1.43283646106,1.86771187134,0.00597814618093508,67,0,67,1,93,24,7,0,0,35,0.54,2,0.17,6,0.227897408328969,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.004097,0,0,0,10.1,5,30,7.43,0,3.73,3.78,7.3,-7.3,7.62,-7.62,-1.43,1.43,-44.94,44.94,95.61,27,null,null,0,0,8.23,0,0.37,0.36,null,null,7.339029e-05,0.0003197591,1.022965e-08,1.036895e-08,0.0002201606,0.000959267,0,0,1.010101,1.962111,3.061869,3.585927,6.912879,13.93775,59.15404,54.19486,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,51.35,77.3,30,31.49,100,100,26.09,48.39,27.27,24.59,32.43,31.6,22,22.4,94.3924432099,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
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["140700060612","Navajo Canyon-Lake Powell","14070006","Lower Lake Powell","140700","Upper Colorado-Dirty Devil",133414200,94.42,5.58,13.67,14.22,21.37,"140700061008",18,19,1572.018604,1705.441238,3528923,9609.8496094,19.36,9.85,243.309057177,8.67294952238,"09","AZ","AZ",{"$nulls":3},1,"AZ","Coconino County-AZ","Coconino County-AZ","20","20",93.4915664734339,1,0,4513.0400391,3686.4099121,5902.4199219,9.7234898,21.76,27.79,185.47,127.22,8.61,2.08,0,769.29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0.32,0.32,0.32,0.19,0.19,0.19,0.07,0.07,0.07,0.25,0.25,0.25,90.9798471160528,93.79,9.23,7.86,0.24,0.24,0.24,93.54,8.98,7.61,0.46,0.27,0.44,4.61,4.61,4.61,0,0,0,1.01,0.04,0.69,95.33,9.6,9.06,16.75,0.6,0.48,0.6,93.23,94.32,9.56,8.36,16.05,0.58,0.48,0.58,92.14,100,100,100,0,0.0390318271968,10.2413998,0.69,0.71,null,null,0,41.6465419,null,0,4.99,5,0,0,0,0,0,0,0,0,0,23,0,0,3.3003959957,0.0113533642143,46.9666666667,null,0.8028453,0.8598469,0.7923757,0.8092257,0.9813138,0.9809454,0.9988703,0.9988539,0.9916667,0.9847095,null,0.5254999,0.25,null,13.92045,66.62437,8.207071,23.22335,95.39141,98.98477,95.8649,94.67005,76.65184,58.35982,null,65.78411,4.79798,null,0.5,0.06,0.01,0,0,0,0,0,0,0,0,0.06,0,0,0,0.01,0,0,0,0,10.11,12.15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.06,0.01,0,0,0,0,0,1.07,0.05,0.69,0.01,0,0.01,0.47,0,29.37,0.22,0,0,0,0,1.9,0.01,2.6,0.02,24.87,0.19,0,0,0.47,0.02,0,0,0,0,0,0,0,0,0.47,0.02,0,0,2,0.015,2,0,0,0,0,0,0,0,0,2,0,4210,2E-3,0.02,0,-0.02,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0514240600169,0.0173639692366,0.06746727837,0.00861238906975,0.0561422895443,2.57774949237,0.546425009105,1.25838353182,1.80480854093,0.489959108654,0.282981672214,0.772940997116,0.607502840981,0.803548572242,1.41105143395,0.0111190732424799,283,0,283,3,269,56,13,1,1,12,0.1,0,0,0,0.191272593999934,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.001644,0,3.33219071376e-11,6.36689831494E-5,3.4,4.1,20.7,6.78,0,3.76,3.79,7.9,-7.9,7.33,-7.33,16.5,-16.5,-8.98,8.98,0,22,null,null,0,0,3.4,0,0.31,0.29,null,null,0.001623197,0.001783023,0.004781247,0.004781247,8.834376e-05,0.0005678231,0,0,2.840909,5.456853,7.386364,15.48223,6.912879,8.312183,50.82071,61.04061,1,1,1,10.67,100,0,0,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,7.5,0,0,0,0,0,0,0,72.73,77.3,33.33,31.49,90.91,99.94,42.86,48.39,33.33,17.44,18.18,21.88,22.4,22.4,155.817554593,0,0,0,0,0,0,0,0,0,0,0,10.67,0,0,0,0,0.5]
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["140700060703","Upper Antelope Creek","14070006","Lower Lake Powell","140700","Upper Colorado-Dirty Devil",123854400,98.37,1.63,10.18,29.09,35.6,"140700060704",0,1,0,123.8493309,3528477,356.7219849,54.73,0.02,153.572863019,0.0498887814306,"09","AZ","AZ",{"$nulls":3},1,"AZ","Coconino County-AZ","Coconino County-AZ","22,20","22",99.9959071756837,1,0,5581.6401367,4708.7998047,6219.8999023,3.14359,20.53,26.34,200.98,141.83,9.26,2.17,0.01,683.3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,0,0,0,0,0,0,0,0,0,0,99.3828218755357,99.13,28.74,10.17,-0.01,0,-0.01,99.13,28.74,10.17,0.1,0.07,0.01,0,0,0,0,0,0,0,0,0,99.24,28.81,10.18,35.33,0,0,0,86.19,99.23,28.81,10.18,35.33,0,0,0,86.18,99.83,100,99.83,0,0.00133705383095,3.3456399,0.72,0.64,30.71,31.36,1,99.9745635,null,0,4.8,5,0,0,0,0,0,0,0,0,0,22,0,0,3.65641615659,0,null,null,0.9230429,0.8902637,0.86054,0.8650901,0.9817787,0.9757561,0.9395624,0.9202088,0.8333333,0.8,null,null,1,null,69.98106,67.05007,62.02652,55.41272,95.58081,93.50474,54.45076,62.11096,36.34053,28.99729,null,null,100,null,0.5,0.76,0.28,0,0,0,0,0,0,0,0,0.76,0,0,0,0.28,0,0,0,0,0,1.61,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.76,0.28,0,0,0,0,0,0.77,0.28,0,0,0,0,0,0,225.01,1.82,243.18,1.96,0,0,9.01,0.07,194.13,1.57,21.87,0.18,18.17,0.15,13.59,1.07,14.87,1.18,0,0,0,0,12.38,0.98,1.21,0.1,1.28,0.1,50,0.4037,24,22,4,0,0,0,0,0,0,50,0,4210,0.034,0.17,0.02,0,-0.02,0.17,0,0.17,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.75989784196,0.549315453754,1.33686013685,1.88617586305,0.574351383962,0.299370594948,0.873722704393,0.52355350516,0.807859421359,1.33141292652,0.0162811737995724,385,0,385,3,366,76,18,1,1,22,0.18,0,0,0,0.762691907642128,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.002829,0,1.39907266189E-11,7.30018134926e-05,2.6,0.6,18.4,4.06,0,3.75,3.78,7.97,-7.97,7.9,-7.9,17.22,-17.22,-11.37,11.37,100,24,null,null,0,0,0.32,0,0.28,0.36,0,14.75,6.642248e-05,0.0002365415,4.724532e-05,4.724546e-05,0.0001520221,0.0006623789,0,0,0.8838384,1.556157,3.566919,4.73613,6.912879,13.93775,55.96591,50.60893,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,53.12,77.3,21.43,31.49,96.97,99.94,30,48.39,11.11,17.44,18.18,21.88,22.4,22.4,159.008832455,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
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["140700060904","Blue Pool Wash-Wahweap Creek","14070006","Lower Lake Powell","140700","Upper Colorado-Dirty Devil",152265600,98.55,1.45,8.68,18.09,24.3,"140700060905",8,9,831.6414607,983.8914345,3528039,2463.6899414,57.15,0.03,226.981223339,0.0421115113888,"08,09","AZ,UT","AZ","UT",null,null,0,"UT","Coconino County-AZ, Kane County-UT","Kane County-UT","20","20",0,0,0,4589.1601563,3703.5300293,5862.6601563,7.95262,22.13,28.1,201.88,134.46,9.91,2.65,0.01,735.71,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.79149042050261,0.05,0.05,0.05,0,0,0,0.02,0.02,0.02,0.03,0.03,0.03,56.0694732867661,89.55,16.25,7.77,0.09,-0.02,-0.01,89.52,16.21,7.73,1.39,0.42,0.04,0.01,0.01,0.01,0,0,0,7.69,0.82,0.79,98.65,17.51,8.61,23.68,-0.03,-0.02,-0.01,96.09,90.97,16.68,7.83,22.22,0.12,-0.01,0.01,87.78,98.16,100,98.16,0,0.180460327218,8.50807,0.7,0.71,48.49,6.74,0,100,null,0,4.97,5,0,0,0,0,0,0,0,0,0,25,0,0,1.84836801404,0.0339393801987,44.3879048280998,null,0.7245522,0.7947071,0.8299166,0.8497221,0.7549599,0.7456052,0.9616842,0.9489971,0.9730507,0.9541284,0.5212456,0.4750824,0.3064562,null,27.52101,40.10152,52.81513,56.02792,26.59664,29.25127,74.87395,68.27411,54.4951,47.04387,63.56436,54.98982,18.7395,null,0.5,1.33,0.56,0.06,0.01,0.01,0,1.26,0,0.04,0.24,1.05,0,0.02,0.1,0.44,0,0,0.01,0.05,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.00236449949443,0,0,null,0,0,null,null,0,null,1.33,0.56,0.06,0.01,0.01,0,1.26,9.02,1.39,0.84,-0.13,0,-0.02,5.69,0,130.57,0.86,0,0,0,0,17.29,0.11,112.97,0.74,0.31,0,0,0,11.77,0.89,0,0,0,0,1.76,0.13,9.96,0.75,0.05,0,0,0,43,0.2824,19,0,24,0,0,0,0,0,0,43,0,4155,0.183,0.88,0.45,0.96,0.64,1.84,1.09,1.84,1.09,0,0,0,0,0,0,0,0,0,0,0,0,1.17032346316E-3,0.00409613223746,0.00135294145674,0.000956968968934,-0.00239164173988,2.227357355,0.524527468097,0.922246197899,1.4467737367,0.498646238825,0.281936662948,0.780583653959,0.462148574582,0.614356539145,1.07650566611,0.0110568362641001,378,1,379,4,57,30,29,0,1,482,3.21,0,0,0,0.842006259283309,21,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.137638,0,0.00256099997639,0,2.4,0.9,41.1,24.68,0,3.78,3.8,8.02,-8.02,7.55,-7.55,14.45,-14.45,-15.4,15.4,100,22,null,null,0,0,1.85,null,0.3,0.29,2.99,36.78,0.01761405,0.03329872,0.01079525,0.01079525,0.01152363,0.05558134,0.03052326,0.03351955,9.495798,19.03553,13.7395,20.17766,20.42017,22.71574,79.87395,88.76904,1,2,2,80.387,98.7087607864441,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,5.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,94.5,0,0,0,0,0,0,96.09,0,0,0,0,0,4.27,0,4.27,95.39,0,0,0,0,0,625,0,47.09,47.22,13.52,13.57,11.62,30.95,5.78,5.83,0,0,33.53,33.64,10.9,19.3,251.756123513,0,0,0,0,0,0,0,0,0,0,0,81.439,0,0,0,0,0.5]
["140700060905","Wahweap Bay-Lake Powell","14070006","Lower Lake Powell","140700","Upper Colorado-Dirty Devil",190608300,87.99,12.01,18.05,36.07,38.53,"140700061008",3011,3012,275430.1451,275620.7452,3528919,172789,17.43,39.03,206.721237911,30.3442548739,"08,09","AZ,UT","AZ","UT",null,null,0,"UT","Coconino County-AZ, Kane County-UT","Kane County-UT","20","20",0,0,1,4020.4899902,3695.1699219,5486.0600586,6.32658,22.92,28.93,176.42,119.07,8.4,2.04,0,813.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0.55,0.55,0.55,0.39,0.39,0.39,0.24,0.24,0.24,0.31,0.31,0.31,30.3559870550162,76.12,21.93,5.03,0.79,0.8,0.72,75.81,21.62,4.72,1.77,1.4,1.2,10.99,10.99,10.99,0,0,0,9.35,1.05,0.55,87.48,24.62,7.02,27.06,2.5,2.44,2.2,67.66,78.13,23.56,6.47,25.65,2.34,2.31,2.06,54.56,98.9,100,98.9,0,0.0166110290056,9.2764702,0.67,0.72,7.92,24.92,0,77.8017521,null,0,5,5,0,0,0,0,0,0,1,0,1,25,0,0,2.92313299583,0.159334614873,null,null,0.8251345,0.9138361,0.8018125,0.8230674,0.8576475,0.8432781,0.9918013,0.9889989,1,1,null,null,0.4744111,null,54.91597,91.1802,19.15966,31.66244,78.06723,75,89.62185,89.65736,100,100,null,null,32.52101,null,0.5,1.53,0.46,0.05,0,0,0,1.49,0,0.18,0.36,1,0,0.07,0.11,0.29,0,0.01,0.02,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0106283482164,0,0,null,0,0,null,null,0,null,1.53,0.46,0.05,0,0,0,1.49,10.89,1.52,0.59,0.17,0.13,0.13,5.52,0.01,126.36,0.66,0,0,0,0,18.75,0.1,106.47,0.56,1.14,0.01,0,0,7.34,0.18,0,0,0,0,0,0,7.34,0.18,0,0,0,0,2,0.0105,2,0,0,0,0,0,0,0,0,2,0,3394,0.322,1.22,0.68,-0.12,0.01,1.1,0.68,1.1,0.68,0,0,0,0,0,0,0,0,0,0,0,0,0.0729648172855,0.0403754711151,0.0909033967318,0.0146010496871,0.0603137812805,2.1292925238,0.527576396393,0.854113436566,1.38169022131,0.453706149697,0.293896094825,0.747602321542,0.458839700517,0.38962820778,0.848467536433,0.00753010641754806,281,0,281,3,230,50,14,1,1,516,3.14,8,0.52,2,0.266698261177516,60,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.066971,0,1.14958937358e-11,0,4,3.8,48.7,10.34,0,3.78,3.8,7.64,-7.64,7.16,-7.16,13.83,-13.83,-11.32,11.32,0,21,null,null,0,0,0.97,null,0.33,0.28,2.64,34.08,0.003076038,0.01086613,3.473219E-3,0.007871034,0.004301408,0.02313119,1.453488E-3,0.001596169,4.453782,11.16751,10.37815,18.0203,9.579832,11.61168,75.2521,84.26396,2,2,2,54.879,65.1177744686612,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,34.4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,65.6,0,0,0,0,0,0,97.39,0,0,0,0,0,0,0,0,94.95,0,0.02,28.77,0,4,780,0,26.67,47.22,1.77,13.57,26.48,30.95,4.39,5.83,0,0,21.48,33.64,19.3,19.3,247.403220028,0,1.36,0,0,0,0,0,0,0,0,0,84.276,0,0,0,0,0.5]
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["140700070606","West Clark Bench-Paria River","14070007","Paria","140700","Upper Colorado-Dirty Devil",128390400,98.35,1.65,9.54,17.16,24,"140700070703",21,22,1676.36266,1804.747812,18267071,6465,56.02,0.02,218.542193301,0.0124198096126,"08,09","AZ,UT","AZ","UT",null,null,0,"UT","Kane County-UT","Kane County-UT","20","20",0,0,0,4813.0898438,4207.0698242,5664.7900391,6.7527399,21.36,27.04,219.26,153.88,10.75,3.25,0.01,666.26,0.01,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,null,0.05,0.05,0.05,0,0,0,0.02,0.02,0.02,0.03,0.03,0.03,74.6746877656444,97.58,16.69,9.42,-0.03,-0.02,-0.02,97.54,16.66,9.39,0.57,0.17,0.04,0,0,0,0,0,0,1.37,0.14,0.01,99.54,17.02,9.5,23.84,-0.04,-0.01,0,95.53,98.17,16.88,9.48,23.69,-0.02,-0.01,0,94.57,94.18,100,94.18,0,0.088043965904,6.8930001,0.71,0.72,50.51,3.93,0,47.1560941,null,0,5,4.96,0,0,0,0,0,0,1,0,1,25,0,0,3.25258199192,0,45.3,null,0.7626128,0.8472484,0.8340498,0.8603359,0.9358806,0.9271902,0.9668027,0.9558012,1,1,0.5389439,0.4929148,0.3,null,37.22689,60.85025,57.68908,64.46701,95.54622,93.84518,77.60504,72.14467,100,100,66.93069,59.47047,18.61345,null,0.5,0.46,0.14,0.04,0.04,0.01,0,0.29,0,0.01,0.14,0.31,0,0,0.06,0.08,0,0,0.01,0.03,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0147207267582,0,0,null,0,0,null,null,0,null,0.46,0.14,0.04,0.04,0.01,0,0.29,1.83,0.28,0.06,0.02,0.01,0,0.5,0,71.8,0.56,0,0,0,0,7.37,0.06,64.43,0.5,0,0,0,0,9.43,0.77,0,0,0,0,0.84,0.07,8.59,0.7,0,0,0,0,61,0.4751,58,0,0,0,3,0,0,0,0,58,3,3487,0.093,0.45,0.23,5.37,3.51,5.82,3.74,5.82,3.74,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.35470260304,0.545787642473,0.938577268516,1.484365069,0.550720110483,0.319618041656,0.870337702755,0.512686643015,0.524478724677,1.03716536769,0.0111991745021476,324,1,325,3,42,25,25,0,1,21,0.17,2,0.2,10,0.655599476185721,24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.005923,0,0,0,2.8,0.4,32.9,47.7,0,3.77,3.8,7.76,-7.76,7.22,-7.22,12,-12,-17.46,17.46,100,24,null,null,0,0,3.01,null,0.29,0.28,0,45.56,0.04063559,0.04390163,0.0386775,0.0386775,3.80422E-4,0.002045752,0.08284884,0.09098164,15,22.52538,21.42857,32.04315,28.48739,29.88579,65.21008,69.92386,1,2,2,99.983,100,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,98.55,0,15.26,0,0,0,0.23,0,15.47,98.55,0,0,0,0,0,105,0,41.67,47.22,0,13.57,33.33,30.95,0,5.83,0,0,16.67,33.64,10.9,19.3,260.788962096,0,0,0,0,0,0,0,0,0,0,0,99.983,0,0,0,0,0.5]
["140700070701","Pinnacle Valley","14070007","Paria","140700","Upper Colorado-Dirty Devil",104711400,100,0,0.04,33.61,33.64,null,0,1,0,104.7080496,null,396.5379944,0,0,84.2863835502,0.00480573669129,"09","AZ","AZ",{"$nulls":3},1,"AZ","Coconino County-AZ","Coconino County-AZ","20","20",0,0,0,6579.9702148,6021.3198242,7338.3598633,2.9421799,18.34,23.58,344.53,226.59,44.97,24.03,4.08,479.14,4.51,0,4.51,0,0.65,0,0.65,0,0,0,0,0,0,0,0,69.8567335243553,0,0,0,0,0,0,0,0,0,0,0,0,99.1055900621118,99.98,33.6,0.04,0,0,0,95.48,32.95,0.04,0,0,0,0,0,0,0,0,0,0.01,0.01,0,100,33.61,0.04,33.64,0,0,0,98.65,99.99,33.6,0.04,33.63,0,0,0,98.64,100,100,100,0,1.10962130198,2.0876801,0.71,0.75,5.27,0,1,0.2372235,null,0,5,5,0,0,0,0,0,0,1,0,1,20,0,0,2.87531910045,0,null,null,0.9612548,0.9651074,0.8580903,0.9125441,0.9481838,0.9478854,1,1,1,1,null,null,1,null,95.70707,99.61929,59.97475,89.27665,85.44823,95.49492,100,100,100,100,null,null,100,null,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0,0,0,0,0,0,0,0.01,0.01,0,0,0,0,0,0,38.66,0.37,0,0,0,0,0,0,16.72,0.16,21.94,0.21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.006,0.03,0,-0.03,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.79959805829,0.649965498058,1.18176359646,1.83172971417,0.650000895762,0.317867569202,0.967868462283,0.536111983579,1.15092981274,1.68704179632,0.00279469793520527,56,0,56,0,53,11,3,0,0,1,0.01,0,0,0,0.084077968686906,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.95E-4,0,0,0,4.8,0.5,65.3,69.87,0,3.75,3.78,7.29,-7.29,6.62,-6.62,-14.87,14.87,-46.73,46.73,97.79,31,null,null,0,0,0.18,0,0.29,0.25,0,94.67,0.0443122,0.04485986,0.0004340041,4.340042E-4,1.047872E-5,6.735127e-05,0.1324921,0.1340782,8.64899,22.71574,4.387626,9.010152,33.55429,35.15228,31.56566,42.38579,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0.16,0,0,0,100,0,100,94.73,0,0,0,0,0,0,0,33.33,26.64,0,1.88,33.33,26.48,0,4.32,0,0,33.33,21.46,19.3,19.3,189.457865,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
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["140801050903","Cove Wash","14080105","Middle San Juan","140801","Upper San Juan",123234300,96.39,3.61,21.91,11.84,27.89,"140801050904",0,1,0,123.2281569,17000416,423.2789917,119.49,0,333.115434762,0.0857593574365,"09","AZ","AZ",{"$nulls":3},1,"AZ","Apache County-AZ","Apache County-AZ","23,22","23",99.9950151378309,1,0,6865.3798828,5704.4599609,9405.2001953,12.3666,17.46,22.69,272.54,191.53,19.12,8.3,9.68,465.39,47.3,0.46,46.82,0.02,2.4,0,2.4,0,8.96,0,8.96,0,0.03,0,0.01,100,0,0,0,0,0,0,0,0,0,0,0,0,80.5873340143003,98.95,11.71,21.83,0.02,0,0.01,51.65,9.31,12.86,0.85,0.1,0.06,0,0,0,0,0,0,0.05,0,0,99.85,11.82,21.89,27.86,0.01,0,0,95.32,99.8,11.82,21.89,27.85,0.01,0,0.01,95.27,98.79,100,98.79,11,14.6243253705,11.4882002,0.67,0.66,2.27,54.45,1,99.9934206,null,0,4.77,4.92,0,0,0,1,1,0,2,1,1,20,0,0,7.88570688475,0,null,null,0.8963234,0.8712354,0.8397843,0.8724623,0.9300867,0.9357117,0.9034127,0.8836022,0.8083333,0.7931655,null,null,1,null,45.80177,83.07313,41.79293,71.56943,79.38763,93.8373,33.4596,42.07067,32.46506,58.17584,null,null,100,null,0.5,0.15,0.02,0.02,0.01,0,0,0,0,0,0,0.14,0,0,0,0.02,0,0,0,0.02,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.15,0.02,0.02,0.01,0,0,0,0.2,0.02,0.02,0.01,0,0,0,0,237.56,1.93,0,0,0,0,0,0,233.21,1.89,4.35,0.04,0,0,46.71,1.71,0,0,0,0,0,0,46.44,1.7,0.27,0.01,0,0,134,1.0874,72,30,32,0,0,0,0,0,0,134,0,0,0.056,0.27,0.05,0.94,0.4,1.21,0.46,1.21,0.46,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.6227311647,0.508960636675,1.34473993032,1.85369967241,0.451674433301,0.317356761392,0.769031496877,0.434729559328,0.857122385103,1.29185194443,0.00552932619085209,87,0,87,1,171,64,16,1,1,306,2.58,0,0,0,0.837329259232572,0,2,0,0,0,0,0,0,3,0,0,0,0,0,0,0,0,0.026584,0,0,0,4.1,1.1,232.9,76.74,0,3.75,3.82,5.17,-5.17,5.54,-5.54,6.51,-6.51,-22.3,22.3,89.67,34,null,null,0,0,2.7,0,0.33,0.34,15.92,24.33,0.04519516,0.03559472,0.001664835,0.003373819,1.428545E-3,0.009416569,0.1324921,0.09399376,8.743687,0.8216927,5.902778,3.286771,33.55429,4.354971,74.24242,78.8825,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,856,0,61.93,80.34,19.47,33.63,99.46,100,24.77,30.64,18.48,25.22,17.69,23.42,22.4,22.4,526.204576552,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
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["140801050905","Horse Mesa Wash","14080105","Middle San Juan","140801","Upper San Juan",66472200,96.61,3.39,21.03,15.84,31.92,"140801050907",0,1,0,66.48036065,16999806,373.1940002,59.47,0,140.95850436,0.0155953903911,"06,09","AZ,NM","AZ","NM",null,null,0,"AZ","Apache County-AZ","Apache County-AZ","23,22","23",100,1,0,6706.9501953,5457.1801758,9164.6201172,7.7034998,17.69,23.14,315.29,217.81,32.97,16.79,14.91,451.28,38.04,0,38.04,0,4.86,0,4.86,0,6.98,0,6.98,0,-0.1,-0.03,-0.03,100,0.04,0.04,0.04,0,0,0,0,0,0,0.04,0.04,0.04,68.0737143568671,99.07,15.64,20.87,-0.06,-0.03,-0.03,60.99,10.74,13.85,0.37,0.09,0.11,0,0,0,0,0,0,0.08,0,0.01,99.53,15.74,20.99,31.8,-0.05,-0.03,-0.03,94.88,99.45,15.74,20.98,31.79,-0.05,-0.02,-0.03,94.79,98.54,100,98.54,8,11.3011995992,8.4239998,0.69,0.6,2.35,66.93,1,99.9878126,null,0,4.69,4.85,0,0,0,0,0,0,0,0,0,19,0,0,5.34659188129,0,null,null,0.8755945,0.8449945,0.8521129,0.8975192,0.8937713,0.8932894,0.8904215,0.8679464,0.7416667,0.721223,null,null,1,null,33.3649,71.73377,54.98737,85.37387,67.17172,76.49959,27.05177,34.10025,21.28335,41.49548,null,null,100,null,0.5,0.03,0,0,0,0,0,0,0,0,0,0.03,0,0,0,0,0,0,0,0,0,0,0.45,0.1,0.04,0.05,0.03,0.04,0,0.26,0.07,0.03,0.19,0.02,0,0,0,0,0,null,0,0,null,null,0,null,0.47,0.1,0.04,0.05,0.03,0.03,0,0.55,0.1,0.05,0.05,0.03,0.03,0,0.03,123.77,1.86,0,0,0,0,0,0,108.35,1.63,15.42,0.23,0,0,27.31,1.94,0,0,0,0,0,0,24.96,1.77,2.35,0.17,0,0,103,1.5495,82,21,0,0,0,0,0,0,0,103,0,0,0.03,0.07,0.01,1.39,0.39,1.46,0.39,1.46,0.39,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.87949206628,0.638877642752,1.44163223691,2.08050987967,0.523671703759,0.275309845346,0.798981481085,0.50411072597,1.08433484107,1.58844556704,0.00481759798502098,41,0,41,0,81,30,8,0,0,39,0.61,15,1.27,38,0.821018114194478,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.003409,0,0,0,4.8,0.8,31,58.47,0,3.77,3.83,4.33,-4.33,4.07,-4.07,-1.74,1.74,-27.69,27.69,82.36,35,null,null,0,0,1.67,0,0.31,0.4,16.84,7.42,0.03807478,0.02532665,0,0,0.0001831896,0.001207534,0.1140411,0.07477242,7.481061,0.5751849,0.7575758,0.7395234,29.54545,3.286771,57.63889,63.106,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,0,0,0,99.9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,60.61,70.04,20,36.77,100,100,26.32,24.68,25,40.33,18.18,27.14,22.4,22.4,308.898417473,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
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["140801050907","Middle Red Wash","14080105","Middle San Juan","140801","Upper San Juan",144018900,97.54,2.46,14.9,24.24,34.76,"140801050910",5,6,533.9257286,677.9555166,16999794,1579.4499512,91.25,0,236.623001192,0.0273135967504,"06,09","AZ,NM","AZ","NM",null,null,0,"AZ","Apache County-AZ, San Juan County-NM","Apache County-AZ","22,23","22",100,1,0,5941.5200195,5375.0698242,9047.4003906,4.8261199,19.51,25.08,221.69,160.11,10.35,2.84,0.58,581.82,4.41,0,4.41,0,0.2,0,0.2,0,1.05,0,1.05,0,0,0,0,100,0.11,0.11,0.11,0,0,0,0.01,0.01,0.01,0.1,0.1,0.1,92.3691366417403,99.26,24.07,14.72,-0.01,0,0,94.75,23.77,13.57,0.42,0.08,0.14,0,0,0,0,0,0,0.04,0.01,0.02,99.73,24.17,14.88,34.67,0,0,0,95.94,99.69,24.16,14.87,34.66,0,0,0,95.9,98.63,100,98.63,0,1.08314533717,6.3340602,0.7,0.6,16.8,53.15,0,79.2783477,null,0,4.74,4.92,0,0,0,0,0,0,0,0,0,20,0,0,8.27181036436,0.0457814894617,null,null,0.9051563,0.8624308,0.858616,0.8601533,0.9617799,0.9524781,0.9220524,0.8970917,0.7833333,0.74,null,null,1,null,52.1149,47.63194,60.41667,51.28552,89.48864,80.17591,43.05556,48.10555,27.47776,21.00271,null,null,100,null,0.5,0.27,0.08,0.01,0,0,0,0.06,0,0,0.02,0.25,0,0,0,0.07,0,0,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.27,0.08,0.01,0,0,0,0.06,0.31,0.08,0.03,0,0,0,0.07,0,266.41,1.85,0,0,0,0,0,0,263.78,1.83,2.63,0.02,0,0,29.71,1.38,0,0,0,0,0,0,29.65,1.38,0.06,0,0,0,104,0.7221,62,29,0,8,5,0,0,0,0,91,13,0,0.083,0.29,0.09,1.08,0.12,1.37,0.21,1.37,0.21,0,0,0,0,0,0,0,0,0,0,0,0,0.00836140289903,0.0400259979069,0.00671386888038,0.00473905848053,-0.0181904970671,2.38656993513,0.487644127725,1.19762358413,1.68526738662,0.424691941164,0.276610197714,0.70130224906,0.399292052472,0.980405045213,1.37969693741,0.0101262819950065,216,0,216,2,328,111,36,2,2,261,1.86,28,1.55,11,0.760461592749233,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0.022817,0,0,0,2.8,0.7,63.9,42.41,0,3.76,3.82,4.24,-4.24,4.32,-4.32,12.51,-12.51,-16.9,16.9,98.28,29,null,null,0,0,3.73,0,0.3,0.4,7.12,6.32,0.02960311,0.03515113,0.0008324181,0.001544736,1.226118E-3,0.005342347,0.08675079,0.09856631,6.439394,14.47903,5.208333,8.051421,24.9053,51.55616,72.9798,73.68065,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,0,0,0,72.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,787,0,62.19,63.43,19.05,19.63,99.29,100,24.56,24.68,24.68,40.33,19.08,25.76,22.4,22.4,708.374257326,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["140802041503","Dancing Rocks","14080204","Chinle","140802","Lower San Juan",111136500,98.72,1.28,7.75,26.67,31.96,"140802041505",0,1,0,111.1420058,944080049,371.9670105,54.46,0,110.028721857,0.011813189857,"09","AZ","AZ",{"$nulls":3},1,"AZ","Apache County-AZ","Apache County-AZ","22,20","22",100,1,0,5649.3701172,5042.9199219,6303.3398438,6.3519402,19.91,25.73,211.38,147.13,10.32,2.94,0.33,617.18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0.1,0.1,0.1,0.01,0.01,0.01,0.05,0.05,0.05,0.05,0.05,0.05,96.1206115173122,99.52,26.41,7.58,0,0,0,99.47,26.36,7.53,0.06,0.06,0,0,0,0,0,0,0,0.17,0.04,0.05,99.8,26.55,7.69,31.82,0,0,0,97.57,99.63,26.52,7.64,31.76,-0.01,0,0,97.4,100,100,100,0,0.00281005790177,9.2120895,0.7,0.65,63.94,5.97,1,99.9352208,null,0,4.75,5,0,0,0,0,0,0,0,0,0,18,0,0,4.68882600755,0.00564441038296,43.6666666667,43.6666666667,0.9111958,0.8338198,0.8515157,0.8528177,0.9794474,0.9750232,0.9333491,0.912006,0.7916667,0.75,null,0.6792522,1,null,57.38636,31.52909,54.41919,46.61705,94.98106,93.09878,50.75758,57.44249,29.86023,23.57724,null,54.59662,100,null,0.5,0.2,0.12,0.06,0,0,0,0.11,0,0,0,0.19,0,0,0,0.12,0,0,0,0.06,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.2,0.12,0.06,0,0,0,0.11,0.37,0.15,0.11,0.01,0,0,0.14,0,213.03,1.92,0,0,0,0,3.49,0.03,196.04,1.76,13.5,0.12,0,0,10.39,1.18,0,0,0,0,0.48,0.05,8.64,0.98,1.27,0.14,0,0,34,0.3059,22,12,0,0,0,0,0,0,0,34,0,1149,0.022,0.02,0,-0.02,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.000664048246108,0.00863262731582,0.0036236367142,0.00495377534564,-0.0176125155815,2.01306915283,0.424109436595,0.948936354173,1.37304562641,0.367258141815,0.272765413771,0.640023555586,0.34909634257,0.656072819964,1.00516904622,0.00515505120416421,73,0,73,1,143,54,14,1,1,118,1.08,3,0.41,3,0.694498026177595,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.010291,0,0,0,1.7,1.1,137.9,8.58,0,3.77,3.82,6.15,-6.15,6.1,-6.1,14.02,-14.02,-20.94,20.94,100,26,null,null,0,0,10.53,0,0.3,0.35,4.67,3.12,0.0004618086,1.318086E-3,0.0008324178,0.001544736,0.0005530078,0.002409523,0,0,2.020202,4.194858,5.082071,7.713126,6.912879,13.93775,66.85606,65.08796,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64.36,63.8,9.38,10.83,99.01,98.46,23.81,23.22,31.03,30.16,20.79,20.83,22.4,22.4,314.355873287,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150100010506","Saddle Canyon-Colorado River","15010001","Lower Colorado-Marble Canyon","150100","Lower Colorado-Lake Mead",84843900,95.79,4.21,16.46,7.5,19.57,"150100010508",3110,3111,284411.5913,284496.4455,20738265,13802.7001953,48.7,0,99.2745874567,0,"09","AZ","AZ",{"$nulls":3},1,"AZ","Coconino County-AZ","Coconino County-AZ","22,23","22",29.9511994251797,1,0,5320.6899414,2774.3798828,8814.5302734,25.3486996,21.25,26.64,292.64,185.96,34.17,16.54,7.25,621.04,7.57,0,7.57,0,0.33,0,0.33,0,0.9,0,0.9,0,-8.09,-0.31,-0.79,92.680902437184,0.95,0.95,0.95,0,0,0,0.17,0.17,0.17,0.77,0.77,0.77,38.1048387096774,79.41,5.02,12.04,-2,-0.11,-0.5,71.07,3.92,10.38,10.38,0.43,1.54,1.79,1.79,1.79,0,0,0,8.24,0.09,0.91,98.21,5.71,14.67,17.78,0,-0.01,0,94.83,89.97,5.62,13.75,16.86,0.33,0,0.02,85.54,98.15,100,98.15,0,2.81703811352,18.0491009,0.68,0.66,null,null,0,57.0801158,null,0,5,5,0,0,0,3,1,2,3,1,2,25,1,2,4.13237889505,0,null,null,0.9374912,0.9191429,0.8038536,0.794832,0.8836021,0.8817397,1,1,1,1,null,null,1,null,83.68056,82.88227,9.659091,12.58457,64.96212,43.5724,100,100,100,100,null,null,100,null,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0,0,0,0,0,0,0,8.24,0.09,0.91,-0.34,-0.01,-0.04,0.83,0,3.39,0.04,0,0,0,0,0,0,3.39,0.04,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.075,0.29,0.15,1.57,1.47,1.85,1.63,1.85,1.63,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.53225576649,0.475929130214,1.23707358857,1.7130030516,0.464819056039,0.354433966829,0.819253022868,0.541165319038,0.835183157593,1.37634781202,0.00520935686991789,84,0,84,1,80,17,4,0,0,1,0.01,0,0,0,0.133101423007105,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.000109,0,0,0,6.5,4.1,45.9,464.92,16.57,3.72,3.75,5.78,-5.78,6.29,-6.29,-6.3,6.3,-34.17,34.17,85.66,26,null,null,0,0,0.72,0,0.32,0.34,null,null,0.08893732,0.1012457,0.02405175,0.02405175,5.857337e-06,2.552114e-05,0.2427543,0.2796597,25.50505,48.98512,10.06944,15.42625,52.14646,81.25846,27.24116,20.50068,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,91.29,38.99,0,0,0,0,91.33,31.35,0,0,0,0,0,0,0,0,62.97,0,8.97,0,98.33,0,22.8,0,20.22,0,21.84,19.3,22.4,113.439152479,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150100040706","Upper Monument Wash","15010004","Havasu Canyon","150100","Lower Colorado-Lake Mead",84441600,98.27,1.73,10.79,39.74,44.57,"150100040708",3,4,217.2178436,301.6667935,20694880,570.7730103,46.36,0.62,91.8452106296,0.627938777445,"09","AZ","AZ",{"$nulls":3},1,"AZ","Coconino County-AZ","Coconino County-AZ","22,23","22",0,0,0,5800.6699219,5548.75,6547.2597656,2.3812699,21.12,25.74,376.72,258.67,41.72,16.71,0.93,440.75,9.89,0,9.89,0,1.81,0,1.81,0,0.21,0,0.21,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,6.35808222015119,95.28,37.66,10.21,-0.03,-0.01,-0.01,85.39,35.85,10,4.68,2.06,0.56,0.01,0.01,0.01,0,0,0,0,0,0,99.96,39.73,10.78,44.55,-0.03,-0.01,0,96.99,99.96,39.73,10.78,44.55,-0.03,-0.01,0,96.99,98.86,100,98.95,0,0.36838122442,2.4597001,0.69,0.52,0,0.31,0,100,null,0,4.72,4.86,0,0,0,0,0,0,0,0,0,29,0,0,2.73699157023,0,null,null,0.861898,0.8033599,0.8907645,0.9027924,0.7802769,0.7599238,0.8717818,0.8307233,0.7666667,0.72,null,null,1,null,27.14646,20.50068,79.26136,78.68742,29.35606,19.41813,21.27525,22.86874,24.58704,18.36043,null,null,100,null,0.5,0.02,0,0,0.01,0,0,0,0,0.01,0.01,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.02,0,0,0.01,0,0,0,0.02,0,0,0.01,0,0,0,0,82.51,0.98,0,0,0,0,0,0,81.58,0.97,0.93,0.01,0,0,20.54,2.27,0,0,0,0,0,0,20.51,2.27,0.03,0,0,0,157,1.8593,82,68,7,0,0,0,0,0,0,157,0,0,0.08,0.3,0.2,0.75,0.04,1.05,0.24,1.14,0.26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.75690686388,0.603007037456,1.16124103518,1.76424807263,0.654262194182,0.338395752027,0.992658791241,0.522893691483,0.190013228172,0.712906919655,5.27174868392692e-05,1,0,1,0,1,0,0,0,0,1,0.01,0,0,0,0.0586317753670877,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.000161,0,0,0,5.4,0.1,0.4,99.77,2.22,3.63,3.68,6.38,-6.38,8.15,-8.15,-18.12,18.12,-54.1,54.1,98.92,35,null,null,0,0,3.66,0,0.31,0.48,34.16,65.53,0.07454288,0.0789396,0.1363927,0.1363927,8.651663e-06,3.769636e-05,0.08722726,0.1003884,16.44571,28.82273,27.55682,30.0406,24.93687,52.16509,30.05051,22.80108,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,45.94,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,50,49.83,0,0,25,21.4,0,3.58,0,0,12.5,13.36,18.7,18.7,545.787485957,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150100060503","Squaw Canyon","15010006","Grand Wash","150100","Lower Colorado-Lake Mead",103970700,95.8,4.2,25.89,11.46,31.39,"150100060505",0,1,0,103.9716693,20673329,407.0159912,118.38,0,220.300169601,6.19187934248E-3,"09","AZ","AZ",{"$nulls":3},1,"AZ","Mohave County-AZ","Mohave County-AZ","14,22","14",0,0,0,4212.0297852,2304.0100098,6739.7099609,13.0584002,22.33,27.26,314.9,193.19,34.4,14.32,0.34,712.62,8.89,0,8.89,0,0.41,0,0.41,0,1.22,0,1.22,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,38.1940112289457,97.15,11.3,25.44,9.94,1.1,3.23,88.26,10.89,24.21,0.91,0.11,0.06,0,0,0,0,0,0,1.94,0.05,0.39,100,11.46,25.89,31.39,0,0,0,94.76,98.06,11.41,25.49,31,0.66,0.07,0.07,92.69,99.8,100,99.8,0,0.556330773958,11.3593998,0.66,0.6,0,0.33,1,99.4269496,null,0,5,5,0,0,0,0,0,0,1,1,0,31,0,0,4.14687587624,0,null,null,0.9427592,0.9254239,0.851731,0.855376,0.8812696,0.8617429,0.9807955,0.9845767,1,1,null,null,1,null,87.15278,91.93154,54.67172,50.12225,64.45707,77.83211,86.93182,77.26161,100,100,null,null,100,null,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0,0,0,0,0,0,0,1.94,0.05,0.39,-0.66,-0.07,-0.07,0.78,0,49.45,0.48,0,0,0,0,0,0,49.45,0.48,0,0,0,0,9.15,0.34,0,0,0,0,0,0,9.15,0.34,0,0,0,0,48,0.4617,29,16,1,2,0,0,0,0,0,46,2,0,0.003,0.01,0,0.19,0,0.2,0,0.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.6490029965,0.351989121606,1.50124392155,1.85323304316,0.336768954744,0.459001466414,0.79576995334,0.314935346235,0.270365155723,0.585300611685,1.172363979581E-4,0,0,0,0,0,3,3,0,null,0,0,0,0,0,0.1777358268009,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.9,0.4,3.4,1192.25,43.21,3.6,3.66,6.59,-6.59,5.78,-5.78,-9.27,9.27,-31.11,31.11,100,20,null,null,0,0,1.52,1.4,0.34,0.4,0,84.85,0.2441685,0.2859452,0.1180042,0.1180042,0,0,0.6145012,0.7398313,74.68434,91.11654,23.32702,36.10432,82.63889,95.92502,12.78409,32.76284,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,53.28,0,0,0,100,0,100,99.51,0,0,0,0,0,0,0,0,29.27,0,0,0,61.91,0,0,0,28.08,0,15.2,null,21.4,1113.94994819,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150100111301","Pahroc Canyon","15010011","White","150100","Lower Colorado-Lake Mead",109085400,96.45,3.55,21.83,28.69,42.67,"150100111303",0,1,0,109.0936874,20640222,282.5750122,128.09,0,194.433088561,0,"09","NV","NV",{"$nulls":3},1,"NV","Lincoln County-NV","Lincoln County-NV","13","13",0,0,0,5054.6699219,4372.5200195,6999.0898438,6.8678899,20.71,25.8,274.54,172.96,27.88,12.27,0.79,574.11,2.7,0,2.7,0,0.07,0,0.07,0,0.03,0,0.03,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0.137630462208969,90.16,26.9,19.93,-9.47,-1.72,-1.83,87.46,26.83,19.9,9.71,1.75,1.89,0,0,0,0,0,0,0,0,0,99.88,28.65,21.82,42.62,0,0,0,95.36,99.87,28.65,21.82,42.62,0,0,0,95.35,100,100,100,0,1.04361170239,8.1254101,0.62,0.68,0,0,1,99.9793759,null,0,5,4.97,0,0,0,0,0,0,0,0,0,19,0,0,2.04265100109,0,null,null,0.9343213,0.9170595,0.8865718,0.8769912,0.8168086,0.8162125,0.9682258,0.9750343,1,1,null,null,1,null,89.25411,85.85197,80.19385,72.55204,45.51201,45.37394,87.14707,87.04703,100,100,null,null,100,null,0.5,0.12,0.04,0.01,0,0,0,0,0,0.02,0.09,0,0,0.01,0.03,0,0,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.12,0.04,0.01,0,0,0,0,0.13,0.04,0.01,0,0,0,0,0,41,0.38,0,0,0,0,0,0,41,0.38,0,0,0,0,10.32,0.43,0,0,0,0,0,0,10.32,0.43,0,0,0,0,59,0.5409,48,11,0,0,0,0,0,0,0,59,0,0,0.068,0.16,0.15,-0.16,-0.15,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.09029381524,0.279258964444,1.11190558076,1.3911645452,0.353274606325,0.345854097877,0.699129270033,0.270624520099,0.654034335582,0.924658987342,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0560257628774866,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0241287353964856,0,0,0,0,0,0,0,3,1.8,64.8,99.68,6.05,3.66,3.74,10.06,-10.06,8.65,-8.65,-2.6,2.6,-35.83,35.83,100,27,null,null,0,0,1.42,0,0.38,0.32,0,100,0.1590284,0.1593913,0.2296565,0.2296565,0,0,0.2474286,0.2485175,37.126,36.19892,21.66035,21.27988,38.09524,39.62992,34.00759,32.45952,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,99.86,0,8.12,0,0,0,0,0,8.12,99.86,0,0,0,0,0,0,0,0,40.44,0,0,0,20.57,0,12.92,0,0,0,31.03,22.3,22.3,142.261974022,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150100150706","Black Mountain","15010015","Las Vegas Wash","150100","Lower Colorado-Lake Mead",61018200,96.05,3.95,23.15,27.4,41.16,"150100150708",1,2,149.4571163,210.468356,22070116,1421.3199463,64.27,0.02,97.2000391538,0.00136081658377,"09","NV","NV",{"$nulls":3},1,"NV","Clark County-NV","Clark County-NV","14","14",0,0,0,2490.1899414,1563.4000244,5021.4301758,5.0548601,26.46,31.79,141.39,77.31,7.49,1.43,0,1061.14,0.18,0,0.09,0.09,0.02,0,0.01,0.02,0.03,0,0.01,0.02,-0.04,0,0,0.0283085633404105,0.26,0.26,0.26,0,0,0,0.03,0.03,0.03,0.24,0.24,0.24,12.8549695740365,21.44,1.61,3.66,-9.01,-2.02,-1.48,21.02,1.35,3.4,0.42,0.04,0.02,0.1,0.1,0.1,0,0,0,0.06,0.03,0.02,21.95,1.7,3.73,4.47,-9.43,-2.14,-1.58,19.96,21.89,1.68,3.71,4.43,-9.02,-2.03,-1.47,19.93,19.27,0,19.11,0,0.195241747544,6.84341,0.68,0.61,18.74,31.18,0,79.6970388,null,0,2.44,2.05,0,0,0,0,0,0,0,0,0,32,0,0,0.834903005767,0,null,null,0.3063038,0.09224502,0.2,0.2,0.3315188,0.1689801,0,0,0,0,null,null,1,null,0.5899705,0.2444988,0.5899705,0.7334963,0.1264223,0.1629992,0.0842815,0.2444988,1.057082,1.06383,null,null,100,null,0.5,77.95,25.6,19.32,9.43,2.14,1.58,73.47,16,47.06,12.04,2.84,5.81,15.13,3.68,0.98,3.58,11.95,3.17,0.62,0.61,0.44,0.01,0,0,0.01,0,0,0,0,0,0,0,0,0,0,0.0398635789752,0,0,0.601971830986,0,0,0.905,0.7175,0,2.61,77.95,25.6,19.33,9.43,2.14,1.59,73.48,78.01,25.63,19.35,9.02,2.04,1.48,73.54,15.54,643.08,10.54,645.83,10.58,14.7,0.24,13,0.21,594.94,9.75,20.44,0.33,2.75,0.05,144.24,10.21,144.98,10.26,3.85,0.27,2.73,0.19,133.25,9.43,4.41,0.31,0.74,0.05,509,8.3418,240,167,0,102,0,0,0,0,0,407,102,26793,50.126,77.64,75.82,3.25,4.89,80.89,80.7,80.73,80.54,100,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5.48792644207,0.234067071334,4.10546172032,4.33952886186,0.25350753887,0.894889824986,1.14839817554,0.16024303207,1.46429530145,1.62453773309,3.3187640407706E-4,3,0,3,0,0,2,1,0,0,80520,1373.03,9708,825.87,12,570.979827655571,538,79,0,0,0,0,0,0,1,3,0.0466780768632332,742.2,0.745634167284261,0,0,0,0,10.393101,0.0673879990056,0.200069997051,0,37.7,2.5,13,360.65,4.15,3.43,3.5,7.71,-7.71,8.07,-8.07,13.21,-13.21,-4.16,4.16,0,13,null,null,0,0,1.85,1.8,0.32,0.39,1.79,46.61,0.6058498,0.6246742,0.9956282,0.9956282,0.6703836,0.6800808,0.1515374,0.1983135,99.70501,99.5925,99.87358,99.7555,26.50653,69.60065,99.66287,99.837,0,0,0,null,null,0,null,null,0,null,null,0,null,null,0,null,null,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,25.02,0,0,0,0,0,19.98,0,19.98,21.65,0,0,0,0,0,0,1,18.11,57.54,5.54,47.74,38.05,81.31,6.13,55.56,1.98,35.8,24.27,94.33,17.5,20.9,3545.07465553,0,0,5,0,1,1,0,0,1,0,0,null,0,null,null,0,0.5]
["150200050403","City of Snowflake-Silver Creek","15020005","Silver","150200","Little Colorado",47583000,96.7,3.3,20.4,38.72,47.51,"150200050406",18,19,1144.21536,1191.79353,21754008,11680.7001953,52.39,0,77.8380955456,0.181995610849,"09","AZ","AZ",{"$nulls":3},1,"AZ","Navajo County-AZ","Navajo County-AZ","22","22",0,0,0,5681.2797852,5553.5698242,5963.9702148,1.96622,21.43,26.2,301.87,218.26,14.68,2.77,0.08,531.1,0.2,0,0.2,0,0.09,0,0.09,0,0.08,0,0.08,0,0.16,0.05,0.04,39.9128199396446,0.27,0.27,0.27,0,0.01,0,0.03,0.03,0.03,0.24,0.24,0.24,26.4149234809382,62.62,19.37,9.14,-1.07,-0.31,-0.2,62.18,19.04,8.83,4.4,0.77,0.28,0.16,0.16,0.16,0,0,0,0.01,0,0,67.06,20.16,9.45,26.04,-1.06,-0.33,-0.2,56.81,67.05,20.16,9.45,26.04,-1.06,-0.33,-0.2,56.8,84.16,100,84.16,0,0.778078305277,1.80864,0.69,0.73,15.58,12,0,53.8547369,null,0,4.48,3.74,1,1,0,0,0,0,0,0,0,18,0,0,3.48385996528,3.26977491379,21.1535632963958,19.8666666667,0.6580607,0.4294121,0.4056039,0.3398255,0.6325896,0.5207779,0.6854432,0.6060278,0.5666667,0.48,null,0.2004292,1,null,3.566919,0.811908,1.325758,1.014885,3.756313,1.285521,5.587121,3.788904,7.083863,4.403794,null,2.439024,100,null,0.5,15.69,5.98,2.52,1.82,0.81,0.4,13.65,0.5,3.34,5.56,6.29,0.25,1.41,2.18,2.14,0.11,0.53,0.92,0.96,8.4,5.88,17.09,12.42,8.27,-0.74,-0.49,-0.19,14.26,0,0,0,17.09,12.42,8.27,0,0,0.0643086816720257,0.00567429544164933,0.517338129496,0.00756572725553244,0,0.786875,0.805681055934,0.0643086816720257,0.745030577576,32.78,18.4,10.79,1.08,0.32,0.21,29.26,32.79,18.4,10.79,1.08,0.32,0.21,29.26,0.64,238.02,5,244.62,5.14,0,0,11.65,0.24,207.6,4.36,18.77,0.39,6.6,0.14,45.18,4.2,45.71,4.25,0,0,3.5,0.33,36.35,3.38,5.33,0.5,0.53,0.05,139,2.9212,86,16,0,0,37,0,0,0,0,102,37,3560,4.935,13.39,10.5,2.45,2.34,15.84,12.84,15.84,12.84,0,0,0.021,1,0,0,0,0,0,0,0.021,1,5.38551139832,3.65445423126,6.21881408738,1.29117302559,2.73501976206,4.86401033444,0.706910406101,1.14641999349,1.85333075003,0.992069489527,2.01861009488,3.01067958441,0.857367456446,0.40003457175,1.25740167776,0.0068720887173641,0,0,0,0,177,63,22,1,1,5654,123.8,1061,120.04,19,11.4713012680919,457,0,0,0,0,0,0,0,0,1,0.0190876121397213,61.1,0.00092864835960802,0.309480063569794,0,0,0,0.666257,0,1.09680589767,0,94.5,9.6,38.9,88.44,0,3.65,3.67,2.09,-2.09,4.35,-4.35,3.52,-3.52,-27.9,27.9,100,33,null,null,0,0,13.17,11,0.31,0.27,30.02,22.9,0.3037277,0.3868594,0.3392013,0.4382135,0.369136,0.48933,0.2028457,0.2330348,83.20707,97.22598,95.20202,97.22598,46.7803,75.9134,98.10606,98.98512,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11.93,0,0,0,0,0,0,0,0,1,0,0,0,0,0,8840,2,25.5,44.94,12.07,18.38,14.65,24,9.35,20.67,1.2,4.99,25.66,37.58,19.1,20.9,253.069562078,0,0,0,0,0,0,0,0,0,0,0,46.329,0,0,0,0,0.5]
["150200080703","North Tank","15020008","Middle Little Colorado","150200","Little Colorado",117242100,97.23,2.77,16.84,50.69,57.77,"150200080807",0,1,0,117.266102,21744485,385.2780151,84.21,0.07,190.992976492,0.150253375242,"09","AZ","AZ",{"$nulls":3},1,"AZ","Navajo County-AZ","Navajo County-AZ","22","22",100,1,0,5067.5200195,4796.4301758,5705.5400391,3.1370599,22.16,27.47,201.09,139.64,9.2,1.73,0.02,688.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.11,0.11,0.11,0,0,0,0,0,0,0.11,0.11,0.11,25.9980525803311,26.62,5.73,4.54,0.02,0,0.01,26.51,5.62,4.43,47.39,30.81,6.27,0,0,0,0,0,0,25.98,14.14,6.03,100,50.69,16.84,57.77,0,0,0,96.36,74.01,36.54,10.8,41.56,0.41,0.26,0.08,69.33,99.75,100,99.75,0,0.00126660986113,5.3881698,0.75,0.67,0.3,0.59,1,99.99156,null,0,4.7,5,0,0,0,0,0,0,0,0,0,22,0,0,2.9030450227,0,null,null,0.8750571,0.8353598,0.9303921,0.9517414,0.7044955,0.7023748,0.9903978,0.9873229,0.75,0.7,null,null,1,null,33.04924,32.27334,92.07702,95.73748,11.96338,10.75778,91.91919,94.3843,22.42694,16.46341,null,null,100,null,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0,0,0,0,0,0,0,25.99,14.15,6.03,-0.41,-0.26,-0.09,17.21,0,27.78,0.24,0,0,0,0,0,0,21.37,0.18,6.41,0.05,0,0,3.35,0.17,0,0,0,0,0,0,2.58,0.13,0.77,0.04,0,0,18,0.1535,0,7,11,0,0,0,0,0,0,18,0,0,0.117,0.21,0.2,0.04,0.05,0.25,0.25,0.25,0.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.46894252087,0.490130301634,1.20043880775,1.69056910939,0.507865036546,0.270508367194,0.77837340374,0.492508088641,0.319939757846,0.812447846487,0.00075330219182244,0,0,0,0,48,17,6,0,0,17,0.15,3,0.18,18,0.694863093657354,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.001956,0,0,0,1.2,0.3,11.7,34.8,0.63,3.68,3.71,3.3,-3.3,4.88,-4.88,10.1,-10.1,-18.34,18.34,100,25,null,null,0,0,14.96,3.2,0.25,0.33,32.39,65.27,0.0750981,0.07557377,0.2173027,0.2173027,1.051096E-4,0.0004579757,0.007886435,0.008960573,16.60354,26.52233,47.9798,52.77402,11.5846,23.88363,52.43056,46.54939,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,83.13,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,50,57.58,33.33,19.05,100,99.59,20,41.35,0,17.75,12.5,19.93,22.4,26,514.608607769,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150200150307","Middle San Francisco Wash","15020015","Canyon Diablo","150200","Little Colorado",84961800,98.51,1.49,9.38,49.12,54.3,"150200150309",9,10,1059.031401,1143.989336,20524809,4837.5600586,33.06,0,35.6988883236,0.013879212955,"09","AZ","AZ",{"$nulls":3},1,"AZ","Coconino County-AZ","Coconino County-AZ","23,22","23",27.0935116946675,1,0,5721.1499023,5212.0400391,6583.8100586,2.61568,20.39,25.37,309.32,210.25,41.24,15,0.5,542.17,7.39,0,7.39,0,3.48,0,3.48,0,0.49,0,0.49,0,0.69,0.37,0.01,100,0,0,0,0,0,0,0,0,0,0,0,0,80.2698760029176,62.87,28.87,6.34,0.01,0.01,0.01,55.48,25.39,5.85,37,20.2,3.03,0,0,0,0,0,0,0,0,0,99.87,49.07,9.37,54.24,0,0.01,0,97.19,99.87,49.07,9.37,54.24,0,0.01,0,97.19,94.28,100,94.28,0,1.24779136035,3.75946,0.66,0.67,0,16.18,0,36.8297266,null,0,4.55,4.84,0,0,0,0,0,0,0,0,0,23,0,0,2.98627599921,0,null,null,0.8631456,0.8275731,0.9187926,0.995373,0.9103207,0.8863644,0.8616148,0.8332312,0.625,0.5953237,null,null,1,null,27.77778,63.68118,89.6149,99.50698,72.85354,73.04848,19.06566,24.15776,11.1817,18.65242,null,null,100,null,0.5,0.13,0.05,0.01,0.03,0.01,0,0,0.01,0.09,0.03,0,0,0.03,0.01,0,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.13,0.05,0.01,0.03,0.01,0,0,0.13,0.05,0.01,0.03,0.01,0,0,0.01,164.2,1.93,0,0,0,0,0,0,155.59,1.83,8.61,0.1,0,0,19.49,2.45,0,0,0,0,0,0,19.45,2.45,0.04,0.01,0,0,116,1.3653,111,0,0,5,0,0,0,0,0,111,5,0,1.724,3.09,3.08,2.63,2.63,5.72,5.72,5.72,5.72,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.96497720615,0.52339958392,1.54709142873,2.07049030303,0.578231928067,0.31625497505,0.894487193504,0.487413674913,0.19811816871,0.68553226285,2.048156875181E-4,3,0,3,0,3,1,0,0,0,81,0.97,6,0.9,7,0.784926241226779,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.010543,0,1.65999998508E-4,0,4.2,0.1,0.1,407.87,24.69,3.66,3.7,2.78,-2.78,4.4,-4.4,-29.51,29.51,-56.5,56.5,98,29,null,null,0,0,1.14,0,0.34,0.33,26.8,39.35,0.212297,0.2021231,0.1861752,0.1870297,0.000942693,4.163356E-3,0.4497733,0.4151763,69.06566,30.07395,38.47854,24.81512,74.14773,33.93591,71.43308,73.04848,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,70.71,0,0,0,0,0,0,0,0,17.82,0,0,0,0,0,0,0,25.53,57.07,4.35,21.77,31.91,99.46,5.88,25.27,5.88,24.28,21.28,25.22,22.4,22.5,762.975215077,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150301010217","Katherine Wash-Colorado River","15030101","Havasu-Mohave Lakes","150301","Lower Colorado",101946600,90.72,9.28,24.51,19.34,33.18,"150301010302",4605,4606,423752.7639,423854.6926,21436853,301689,85.27,7.83,209.480162327,7.83454772458,"09","AZ,NV","AZ","NV",null,null,0,"AZ","Clark County-NV, Mohave County-AZ","Mohave County-AZ","14","14",0,0,0,1415.0300293,587.492981,3322.8300781,8.3865805,28.82,34.02,169.39,85.08,10.52,2.46,0,1140.71,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0085954959601169,0.05,0.05,0.05,0,0,0,0,0,0,0.05,0.05,0.05,74.6349821215733,90.23,11.79,16.84,-0.14,-0.04,-0.03,90.19,11.75,16.8,0.8,0.04,0.17,6.95,6.95,6.95,0,0,0,0.7,0.07,0.18,91.74,11.9,17.2,25.57,-0.12,-0.03,-0.01,88.12,91.04,11.84,17.02,25.36,-0.12,-0.03,-0.01,87.38,94.54,93.26,94.08,0,2.9839151085E-3,7.2418799,0.77,0.65,32.09,0,0,77.0529885,null,0,4.71,4.72,2,2,0,1,1,0,1,1,0,33,1,2,3.17846898944,0,38.9666666667,null,0.7034365,0.7176116,0.8062958,0.7934433,0.700767,0.6686024,0.7736369,0.7288593,0.7583333,0.8106555,null,0.5864975,0.4781494,null,5.555556,7.579462,10.32197,11.00244,11.33207,15.56642,8.869949,4.726976,23.34816,23.81342,null,29.63855,5.30303,null,0.5,1.31,0.49,0.36,0.12,0.03,0.02,1.19,0.14,0.32,0.4,0.46,0.1,0.15,0.13,0.11,0.11,0.08,0.08,0.09,1.86,1.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,1.31,0.49,0.36,0.12,0.03,0.02,1.19,2.01,0.56,0.54,0.13,0.04,0.02,1.32,0.19,122.05,1.2,0,0,0,0,0,0,117.99,1.16,4.06,0.04,0,0,33.69,1.32,0,0,0,0,0,0,33.38,1.31,0.31,0.01,0,0,194,1.903,149,42,0,0,0,0,0,0,3,191,3,0,0.61,1.69,1.3,4.23,3.97,5.92,5.28,5.46,4.52,6.74,6.59,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.71675097504,0.22025607499,1.70782233503,1.92807841002,0.237585499581,0.551087932977,0.788672526275,0.195333242677,0.250580075357,0.445912621867,0,0,0,0,0,0,0,0,0,0,171,1.85,16,1.01,9,0.776130901403818,92,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.030873,0,1.99071786372e-11,0,2.1,2.7,7.7,491.52,5.51,3.37,3.44,4.81,-4.81,5.46,-5.46,11,-11,-3.43,3.43,0,12,null,null,0,0,3.02,2.6,0.23,0.35,0,60.42,0.1138579,0.1209699,0.08989828,0.07947743,1.659024E-3,0.001190058,0.2500164,0.2822421,37.43687,62.91769,18.93939,32.19234,53.09343,79.0546,75.50505,77.83211,2,2,1,15.714,54.3701236083107,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,77.6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,22.4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,95.87,0,11.46,0,0,0,52.44,0,52.44,36.94,0,39.52,0.63,1,1,1358,1,75.96,76.36,0,11.34,30.6,30.78,15.49,15.71,0,0,37.7,65.8,18.7,28.8,2842.20529604,0,0,0,0,0,0,0,0,0,0,0,28.901,0,0,0,0,0.5]
["150301030104","Cottonwood Spring-Sacramento Wash","15030103","Sacramento Wash","150301","Lower Colorado",88919100,95.79,4.21,25.57,24.95,41.48,"150301030106",2,3,143.8027259,232.7234213,21427090,571.6959839,100.44,0,168.934280816,0.0160974979624,"09","AZ","AZ",{"$nulls":3},1,"AZ","Mohave County-AZ","Mohave County-AZ","14","14",0,0,0,3418.2299805,2758.8601074,4799.1499023,7.4067101,24.76,29.47,217.1,119.86,12.61,3.23,0,911.7,0.02,0,0.02,0,0,0,0,0,0,0,0,0,-0.03,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,77.5200558074642,92.99,21.75,23.88,9.98,1.6,1.66,92.97,21.75,23.88,0.08,0.02,0.01,0,0,0,0,0,0,0,0,0,93.06,21.78,23.89,37.4,-0.51,-0.32,-0.07,79.8,93.06,21.78,23.89,37.4,-0.51,-0.32,-0.07,79.8,84.16,100,84.16,0,9.71669753742E-4,7.9720998,0.67,0.74,9.51,8.03,0,96.3025927,null,0,4.61,4.68,0,0,0,0,0,0,0,0,0,36,0,0,2.05432800869,0,null,null,0.7827451,0.7431731,0.8378229,0.8314253,0.6183494,0.5723499,0.7825532,0.823553,0.675,0.7453643,null,null,1,null,11.64773,9.698452,39.55177,29.17685,2.935606,3.504482,9.532828,8.638957,14.67598,15.05728,null,null,100,null,0.5,6.94,3.18,1.68,0.51,0.33,0.07,6.18,0.01,0.11,1.57,5.25,0,0.05,0.74,2.38,0,0.05,0.43,1.2,0.39,1.04,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,6.94,3.18,1.68,0.51,0.33,0.07,6.18,6.94,3.18,1.68,0.51,0.33,0.07,6.18,0.05,264.66,2.98,0,0,0,0,3.55,0.04,248.7,2.8,12.41,0.14,0,0,86.39,3.8,0,0,0,0,1.21,0.05,82.66,3.64,2.52,0.11,0,0,435,4.8921,253,125,32,25,0,0,0,0,0,410,25,4575,0.912,4.46,2.38,11.38,10.52,15.84,12.9,15.84,12.9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.74566269984,0.223197796925,1.81475723162,2.03795502854,0.219647607484,0.488060240223,0.707707470911,0.197284696119,0.234797763481,0.4320824596,0,0,0,0,0,0,0,0,0,null,1068,12.54,200,10.53,19,4.33625248539102,392,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.195574,0,4.7199997129E-4,0,3,0.9,10.3,327.92,6.07,3.41,3.48,6.88,-6.88,7.97,-7.97,14.5,-14.5,-7.7,7.7,0,15,null,null,0,0,7.08,3.9,0.33,0.26,29.49,52.97,0.1792548,0.175937,0.3111979,0.2791635,0.01157908,0.01060197,0.2149875,0.2380456,60.13258,78.64711,93.81313,84.10758,48.73737,74.32763,86.17424,85.65607,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,57.33,0,0,0,0,0,0,0,0,54.3,0,0,0,0,0,0,0,42.3,76.36,19.32,30.14,15.43,30.78,13.72,27.67,0,0,45.16,61.62,23.8,23.8,2464.32716608,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150302010804","Rupley Wash","15030201","Big Sandy","150302","Bill Williams",146307600,97.57,2.43,15.15,18.64,29.1,"150302010806",0,1,0,146.2865839,21403887,349.2369995,94.71,0,192.702984776,0.00449000571458,"09","AZ","AZ",{"$nulls":3},1,"AZ","Mohave County-AZ","Mohave County-AZ","81,14","81",0,0,0,2403.0700684,1417.0400391,3874.7900391,6.1287398,28.27,32.92,311.07,174.22,25.89,6.75,0,937.55,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0.02,0.02,0.02,0,0,0,0,0,0,0.02,0.02,0.02,66.0018552875696,98.95,18.33,14.92,0,0,0,98.93,18.31,14.9,0,0,0,0,0,0,0,0,0,0,0,0,98.95,18.33,14.92,28.63,0,0,0,94.09,98.95,18.33,14.92,28.63,0,0,0,94.09,96.96,100,96.96,0,0,5.8481798,0.68,0.74,26.16,8.78,1,99.9907703,null,0,5,4.96,1,1,0,0,0,0,1,1,0,44,0,0,2.78736311589,0,null,null,0.9356222,0.9198354,0.8398279,0.856115,0.8981558,0.8715833,0.9401272,0.9516432,1,1,null,null,1,null,82.03914,82.01058,41.85606,31.56966,68.43434,70.28219,54.89268,47.53086,100,100,null,null,100,null,0.5,1.05,0.31,0.22,0,0,0,0.85,0,0,0.04,1.01,0,0,0.01,0.3,0,0,0,0.22,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,1.05,0.31,0.22,0,0,0,0.85,1.05,0.31,0.22,0,0,0,0.85,0,126.46,0.86,0,0,0,0,0,0,122.69,0.84,3.77,0.03,0,0,23.56,1.06,0,0,0,0,0,0,22.46,1.01,1.1,0.05,0,0,115,0.786,78,36,1,0,0,0,0,0,0,115,0,0,0.107,0.85,0.17,2.19,0.84,3.04,1,3.04,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.31619756867,0.380861655943,1.20511245978,1.58597340288,0.371708929851,0.358514589754,0.730223451673,0.370780550599,0.171584480983,0.542365031582,1.1119304760829E-4,0,0,0,0,0,4,5,0,null,0,0,0,0,0,0.196407401522967,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8.3e-05,0,0,0,3.1,0.4,1.3,35.43,0.02,3.39,3.43,6.84,-6.84,9.98,-9.98,14.67,-14.67,-7.45,7.45,0,14,null,null,0,0,2.63,0.8,0.32,0.26,10.34,54.72,0.1159509,0.1163762,0.186965,0.186965,4.460174e-06,1.341227e-06,0.1608833,0.1621622,38.38384,47.79541,38.82576,37.7425,39.26768,54.05644,25.44192,33.33333,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,98.87,0,0.3,0,0,0,0,0,0.3,98.87,0,0,0,0,0,0,0,66.67,53.1,0,3.48,33.33,17.55,0,10.58,0,0,66.67,60.97,12.7,12.7,1479.6864903,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
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["150501000301","Ripsey Wash","15050100","Middle Gila","150501","Middle Gila",46404000,96.16,3.84,23.88,8.29,27.47,"150501000303",0,1,0,46.40421759,21271318,243.7519989,50.36,0.01,110.310945228,0.0292430755573,"09","AZ","AZ",{"$nulls":3},1,"AZ","Pinal County-AZ","Pinal County-AZ","81","81",0,0,0,2826.0500488,1729.8000488,3891.1298828,10.2627001,27.46,32.12,485.88,282.24,51.7,13.95,0,808.73,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0.01,0.01,0.01,0,0,0,0,0,0,0.01,0.01,0.01,60.4545454545455,98.94,8.26,23.76,0,0,0,98.93,8.25,23.76,0.76,0,0.06,0,0,0,0,0,0,0,0,0,99.71,8.26,23.83,27.4,0.01,0,0,94.32,99.71,8.26,23.83,27.4,0.01,0,0,94.32,99.76,100,99.76,0,1.55159038014E-4,5.90943,0.79,0.74,4.74,0,1,99.9592715,null,0,4.9,5,0,0,0,0,0,0,0,0,0,47,0,0,6.32329668331,0,65.6722715006072,null,0.906303,0.9046114,0.8388325,0.8549443,0.8291107,0.7800989,0.9469053,0.9571176,0.9166667,0.9308963,null,1,1,null,53.09343,71.78131,40.90909,30.77601,49.46338,51.23457,60.13258,53.08642,52.19187,54.42478,null,100,100,null,0.5,0.29,0.03,0.05,0,0,0,0.17,0,0,0.03,0.27,0,0,0,0.03,0,0,0,0.04,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.51793305161e-09,3.87897598557E-3,0,0,null,0,0,null,null,0,null,0.29,0.03,0.05,0,0,0,0.17,0.29,0.03,0.05,0,0,0,0.17,0,30.82,0.66,30.96,0.67,0,0,0,0,22.49,0.48,8.33,0.18,0.14,0,10.44,0.94,10.58,0.95,0,0,0,0,4.22,0.38,6.22,0.56,0.14,0.01,104,2.2412,58,27,19,0,0,0,0,0,0,104,0,194,0.024,0.17,0.05,0.07,-0.05,0.24,0,0.24,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.20008946975,0.60048894455,1.35755679519,1.95804649084,0.719341536394,0.522701442511,1.24204297891,0.726028936761,0.61640565316,1.34243458992,0,0,0,0,0,0,0,0,0,0,1,0.02,0,0,0,0.426486422471306,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.000139,1.99607297885e-09,6.61799597265e-11,0,6.4,0.3,0.3,104.58,0.02,3.44,3.46,0.78,-0.78,2.54,-2.54,-3.82,3.82,-19.6,19.6,0,18,null,null,0,0,1.55,1.3,0.21,0.26,6.05,89.21,0.2482073,0.2580318,0.05073944,0.05050604,7.469617e-06,2.246257e-06,0.6938749,0.7235872,75.31566,86.24339,13.98359,11.81658,86.14268,95.59083,28.97727,36.86067,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,95.23,0,0,0,0,0,0,0,0,15.37,0,0,0,0,0,0,0,66.67,72.96,0,10.17,66.67,64.29,25,24.31,0,0,16.67,36.74,14,16.3,4319.5479126,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150502020405","Carr Canyon","15050202","Upper San Pedro","150502","San Pedro-Willcox",94014900,97.33,2.67,17.02,35.53,45.03,"150502020408",0,1,0,94.01873887,15932929,408.4079895,84.47,0,175.270424568,0.00202412637194,"09","AZ","AZ",{"$nulls":3},1,"AZ","Cochise County-AZ","Cochise County-AZ","79","79",0,0,0,5194.3500977,4101.2001953,9197.4599609,8.1966295,24.46,28.27,460.91,340.5,40.72,6.11,0.1,636.13,21.01,0,20.31,0.7,0.83,0,0.83,0,3.06,0,3.01,0.05,-3.79,-0.06,-0.18,68.3641402518991,0,0,0,0,0,0,0,0,0,0,0,0,6.45429009193054,74.18,23.24,12.26,-4.46,-1.71,-0.76,53.17,22.42,9.2,13.35,5.93,3.05,0.01,0.01,0.01,0,0,0,0,0,0,87.53,29.18,15.31,37.66,-0.26,-0.15,-0.03,71.78,87.53,29.18,15.31,37.66,-0.26,-0.15,-0.03,71.78,91.57,100,91.57,0,7.82370454045,11.4434004,0.74,0.74,26.59,4.92,1,99.9952201,null,0,4.25,4.88,4,3,1,9,6,3,9,2,7,44,0,0,3.78715596914,0.912484109402,33.5333333333,null,0.7449479,0.5753978,0.7895071,0.6367857,0.7182864,0.626412,0.8419462,0.780024,0.375,0.2341468,null,0.1750185,1,1,8.364899,3.146067,8.017677,4.269663,13.85732,18.20225,15.46717,12.13483,3.17662,2.122642,null,19.85816,100,100,0.5,12.47,6.35,1.7,0.27,0.15,0.02,10.04,0.06,0.48,1.41,10.51,0.03,0.27,0.66,5.39,0,0.02,0.12,1.56,6.14,2.45,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.34558352828,1.91459013411704E-3,1.91459013411704E-3,0.717857142857,0,0,0.683333333333,2.01319148936,1.91459013411704E-3,0.781666666667,12.47,6.35,1.7,0.27,0.15,0.02,10.04,12.47,6.35,1.7,0.27,0.15,0.02,10.04,0.02,300.9,3.2,0,0,0,0,8.26,0.09,279.71,2.98,12.93,0.14,0,0,43.95,2.77,0,0,0,0,0.93,0.06,40.58,2.56,2.44,0.15,0,0,177,1.8827,125,50,2,0,0,0,0,0,0,177,0,7742,1.145,4.2,2.31,4.23,0.85,8.43,3.16,8.43,3.16,0,0,0,0,0,0,0,0,0,0,0,0,0.0178918447345,0.912484109402,0.0178511460251,0.162660053019,-0.0696351789637,3.31922355902,0.615620487118,1.32977728377,1.94539777089,0.962922217394,0.410904115949,1.37382633334,0.653140847034,0.399494215146,1.05263512243,0.00248601558504809,49,0,49,4,8,7,36,1,0,7971,87.1,350,26.16,4,32.1027092484903,255,0,0,0,0,0,0,0,0,0,0,0,0,1.15072887375558E-3,0,0,0,0.876039,1.03209877614e-09,0.00567900009871,0,13.7,0.5,2.6,2672.14,29.59,3.37,3.38,-0.05,0.05,3.02,-3.02,-11.24,11.24,-44.19,44.19,80,23,null,null,0,0,2.8,5.4,0.26,0.26,45.74,16.02,0.233469,0.3784786,0.2719365,0.3806845,0.05994392,0.3580243,0.3685266,0.3967271,72.82197,95.2809,90.97222,94.83146,67.92929,71.46067,92.70833,97.07865,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,55.31,0,15.53,0,0,0,10,0,25.51,30.61,0,6.11,75.97,1,24,23579,2,30.08,61.14,3.6,8.81,31.73,60.44,6.55,21,5.29,32,28.69,41.48,18.4,21.4,2358.81175661,0,0,0,0,0,0,0,0,0,0,0,29.24,0,0,0,0,0.5]
["150503030502","150503030502","15050303","Lower Santa Cruz","150503","Santa Cruz",123036300,98.04,1.96,12.74,68.85,72.44,"150503030503",0,1,0,123.0416393,15885290,297.8389893,80.81,0,138.927839513,0.133067004078,"09","AZ","AZ",{"$nulls":3},1,"AZ","Pinal County-AZ","Pinal County-AZ","81","81",0,0,1,1494.2199707,1231.6500244,2585.1999512,2.5248201,30.92,35.7,186.66,114.47,9.33,1.51,0,1160.87,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0.04,0.04,0.04,0,0,0,0,0,0,0.04,0.04,0.04,19.1916488222698,59.38,33.38,7.06,-0.57,-0.47,-0.13,59.35,33.35,7.02,7.89,6.33,1.08,0.02,0.02,0.02,0,0,0,0.51,0.37,0.12,67.78,40.08,8.26,43.05,-0.6,-0.48,-0.15,51.73,67.27,39.71,8.14,42.63,-0.6,-0.48,-0.15,51.45,84,100,84,0,1.46298287579e-05,5.4066901,0.72,0.72,59.11,14.62,1,99.9824406,null,0,4.5,5,0,0,0,0,0,0,1,1,0,41,0,0,0.897328031096,14.2170114517,24.545008821953,24.4,0.661799,0.5701713,0.7501832,0.8084133,0.6316702,0.5440909,0.3438084,0.5724284,0.5833333,0.6544814,null,0.2714426,1,null,3.85101,5.202822,6.344697,13.75661,3.661616,4.056437,0.5681818,3.08642,8.576874,10.70796,null,23.74728,100,null,0.5,7.71,6.16,1.47,0.08,0.08,0.01,6.51,0.05,0.06,0.23,7.37,0.05,0.05,0.17,5.9,0,0.01,0.06,1.41,11.5,9.5,24.48,22.59,2.99,0.5,0.4,0.13,23.16,24.48,22.59,2.99,0,0,0,0,14.9692754745,0.00146298287578544,0,0.440911749687,0.00658342294103447,0,0.43288059089,0.390163739416,0.00146298287578544,0.42892034233,32.19,28.75,4.46,0.59,0.48,0.14,30.69,32.7,29.12,4.58,0.59,0.48,0.14,31.01,3,487.68,3.96,0,0,0.08,0,1.14,0.01,408.68,3.32,77.78,0.63,0,0,88.91,5.76,0,0,0,0,0.46,0.03,79.33,5.14,9.12,0.59,0,0,608,4.9416,373,235,0,0,0,0,0,0,0,608,0,1231,0.433,2.52,0.54,13.48,1.71,16,2.26,16,2.26,0,0,0,0,0,0,0,0,0,0,0,0,5.03063488007,17.0604133606,2.55175582006,2.71795137773,0.41902902935,2.99914995953,0.239178947678,1.44564630324,1.68482488532,0.293638067634,1.02068664098,1.31432502925,0.247112640131,0.260742798016,0.507855611952,0.114402235515629,2418,731,3149,1,34,33,37,1,0,2607,21.61,414,31.74,16,8.02877925990009,108,0,0,0,0,0,0,0,0,2,0.0247494122014602,601,1.64276210904961,0.243039698799553,0,0,0,0.307833,9.11142194081,0.0181039998824,0,10.2,1.7,11.6,150.18,0.06,3.33,3.35,0.86,-0.86,2.78,-2.78,2.25,-2.25,-16.14,16.14,0,13,null,null,0,0,4.6,0,0.28,0.28,12.62,13.61,0.2390159,0.2048633,0.270547,0.2453913,0.1431851,0.06303980000000001,0.3033156,0.3061588,73.92677,79.18871,90.78283,59.61199,60.60606,74.16226,95.26515,90.03527,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,35.19,0,0,0,0,0,0,0,0,17.65,0,0,0,0,0,270,0,46.96,55.73,5.07,11.64,32.4,84.71,19.06,37.14,0.58,10.36,24.07,24.13,20.8,20.8,15729.3779831,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150601020206","Post Office Canyon-North Fork White River","15060102","White","150601","Salt",73542600,95.54,4.46,24.43,9.96,28.47,"150601020207",10,11,611.9304217,685.4762593,20487890,4011.7600098,73.66,0,105.009047238,0.0157757149439,"09","AZ","AZ",{"$nulls":3},1,"AZ","Navajo County-AZ","Navajo County-AZ","23","23",100,1,0,6178.3100586,5292.1899414,7443.2202148,11.7781,19.99,24.47,528.07,354.34,83.65,35.59,3.57,325.05,89.49,0,89.49,0,7.47,0,7.47,0,21.02,0,21.02,0,1.48,0,0.33,97.5641025641026,0.78,0.78,0.78,0,0,0,0.05,0.05,0.05,0.72,0.72,0.72,82.4473975636766,98.08,9.46,23.61,5.45,0.18,0.97,7.86,1.27,1.86,0.01,0,0,0.03,0.03,0.03,0,0,0,0,0,0,98.14,9.51,23.66,27.42,-0.14,-0.06,-0.04,92.17,98.14,9.51,23.66,27.42,-0.14,-0.06,-0.04,92.17,95.39,100,95.39,29,26.429950804,8.4316502,0.57,0.66,0,0,0,74.0142431,null,0,4.65,4.89,0,0,0,0,0,0,0,0,0,20,0,0,3.79322198179,0.00998604856431,27.1852886802935,23,0.8577724,0.6813478,0.8239068,0.8056808,0.8707188,0.8689095,0.8859028,0.8625009,0.7083333,0.6852518,null,0.1843958,1,null,25.50505,13.55793,23.20076,15.11915,61.45833,67.78965,25.53662,32.37469,17.34435,32.78554,null,13.99632,100,null,0.5,1.82,0.42,0.73,0.13,0.03,0.03,1.6,0,0.03,0.18,1.62,0,0,0.03,0.39,0,0.01,0.07,0.66,0.18,0,0,0,0,-0.02,-0.01,-0.02,0,0,0,0,0,0,0,0,0.0220280494541,0,0,null,0,0,null,null,0,null,1.82,0.42,0.73,0.1,0.03,0,1.6,1.82,0.42,0.73,0.1,0.03,0,1.6,0.01,96.83,1.32,0,0,0,0,14.21,0.19,78.92,1.07,3.7,0.05,0,0,36.05,2.02,0,0,0,0,3.77,0.21,30.81,1.72,1.47,0.08,0,0,203,2.7603,178,4,0,21,0,0,0,0,0,182,21,5004,0.207,1.19,0.41,3.42,1.74,4.61,2.15,4.61,2.15,0,0,0,0,0,0,0,0,0,0,0,0,0.0164476092905,0.0111608784646,0.0196709891549,4.06201352857E-3,0.00865125461573,3.90275823822,1.00408094957,1.57012444837,2.57420539794,1.0641680903,0.264385302189,1.32855339249,1.22689358064,0.469867834101,1.69676145191,0.00035811872648651,0,0,0,0,15,5,2,0,0,738,10.49,150,10.23,20,1.89446572415988,22,1,0,13,0,0,0,0,0,0,0,0,0,0,0,0,0,0.087395,0.0301919978595,0,0,15.1,8.2,530.1,2159.65,90.75,3.59,3.63,0.11,-0.11,1.98,-1.98,-32.11,32.11,-58.07,58.07,96.08,48,null,null,0,0,0.44,0,0.43,0.34,67.78,6.83,0.4184166,0.4363761,0.2815199,0.3138319,0.004980065,0.0538696,0.96875,0.9414266,97.47475,96.05588,91.85606,91.4544,98.51641,96.05588,82.2601,90.46836,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,99.91,10.73,0,4,15604,0,36.26,36.24,10.04,10.05,97.28,97.27,11.35,11.33,2.44,2.46,13.33,13.35,22,22,321.291698933,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150601030202","Little Trough Creek","15060103","Upper Salt","150601","Salt",47942100,96.9,3.1,19.27,4.87,20.66,"150601030207",0,1,0,47.94760338,22440906,250.1849976,40.48,0,77.3990562306,0.00525365835071,"09","AZ","AZ",{"$nulls":3},1,"AZ","Gila County-AZ","Gila County-AZ","23","23",100,1,0,5403.8198242,4081.7700195,6222.4301758,17.4585991,21.48,26.02,535.19,326.4,118.84,50.99,7.51,411.01,68.14,0,68.14,0,3.08,0,3.08,0,11.91,0,11.91,0,-8.08,-0.55,-2.04,99.7910554863764,0.01,0.01,0.01,0,0,0,0,0,0,0,0,0,45.5607476635514,90.91,4.29,16.96,-9.01,-0.57,-2.3,22.77,1.21,5.06,9.08,0.57,2.3,0,0,0,0,0,0,0,0,0,100,4.87,19.27,20.66,0,0,0,95.46,100,4.87,19.27,20.66,0,0,0,95.46,99.82,100,99.82,0,7.3563235653,7.9758902,0.69,0.69,0,0,1,99.9981222,null,0,4.8,5,0,0,0,0,0,0,0,0,0,33,0,0,5.69843799792,0,null,null,0.9114889,0.8866471,0.8195344,0.8359539,0.9079656,0.8945748,0.996611,0.9959159,0.8333333,0.8201439,null,null,1,null,57.92298,88.16763,18.43434,34.18242,71.81187,77.15694,94.7601,95.64503,36.34053,65.89975,null,null,100,null,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,19.93,0.42,0,0,0,0,0,0,19.93,0.42,0,0,0,0,0.58,0.06,0,0,0,0,0,0,0.58,0.06,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.075,0.46,0.21,-0.29,-0.21,0.18,0,0.18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.14479464136,0.930287947811,1.80149244661,2.73178039442,1.11095567193,0.302058575015,1.41301424694,1.30061691685,0.548424088549,1.84904005064,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.130989771334012,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,16.8,0.1,0.4,2433.19,86.92,3.55,3.6,0.52,-0.52,2.32,-2.32,-25.84,25.84,-47.61,47.61,92.14,36,null,null,0,0,0.33,0,0.31,0.31,0,100,0.3838996,0.3728422,0.25,0.25,0,0,0.9016989,0.8685265,92.80303,83.31964,83.17551,78.96467,95.23359,86.93509,12.78409,11.5037,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,56.5,0,13.11,0,98.34,0,18.34,0,10.71,0,10.05,null,null,317.856081724,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150602020609","Upper Wet Beaver Creek","15060202","Upper Verde","150602","Verde",93532500,96.59,3.41,18.48,10.08,24.35,"150602020613",3,4,207.1321786,300.6699342,20454582,1948.5999756,70.52,0,107.692863688,0.0208398207022,"09","AZ","AZ",{"$nulls":3},1,"AZ","Coconino County-AZ, Yavapai County-AZ","Yavapai County-AZ","23","23",0,0,1,5539.8198242,3601.0400391,7295.0898438,12.3905001,20.56,24.98,548.21,321.41,125.77,59.01,9.44,389.3,51.95,0,51.95,0,3.31,0,3.31,0,9.74,0,9.74,0,0.07,0.03,0.11,100,0.84,0.84,0.84,0,0,0,0.19,0.19,0.19,0.66,0.66,0.66,59.0779127948535,98.55,9.78,18.02,-0.01,0,0,45.94,5.81,7.62,0.83,0.07,0.01,0,0,0,0,0,0,0,0,0,99.57,10.04,18.21,24.08,0,0,-0.01,94.94,99.57,10.04,18.21,24.08,0,0,-0.01,94.94,97.58,100,97.58,0,2.56091412076,11.8576002,0.71,0.67,0,0,0,84.977634,null,0,4.9,4.96,1,1,0,2,2,0,0,0,0,34,1,2,3.88214299811,0,34.0730122884873,29.7,0.926738,0.7929941,0.8281671,0.8487323,0.9257179,0.9183775,0.9631384,0.9534822,0.9166667,0.9100719,null,0.3343066,1,null,74.02146,47.24733,28.44066,48.47987,78.0303,88.74281,73.07449,78.14297,52.19187,84.79869,null,36.46409,100,null,0.5,0.43,0.04,0.26,0,0,0,0.4,0,0.01,0.18,0.23,0,0,0.01,0.03,0,0.01,0.12,0.14,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,3.37714285714,0,3.37714285714,0.43,0.04,0.27,0,0,0.01,0.4,0.43,0.04,0.27,0,0,0.01,0.4,0.01,22.84,0.24,0,0,0,0,0,0,17.86,0.19,4.98,0.05,0,0,10.99,0.64,0,0,0,0,0,0,8.03,0.47,2.96,0.17,0,0,13,0.139,8,0,0,5,0,0,0,0,0,8,5,0,0.121,0.63,0.31,1.78,1.53,2.42,1.85,2.42,1.85,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.85113176573,0.724259051186,1.9322448246,2.65650400352,0.831465962766,0.363161212241,1.19462776221,0.846172664089,0.28575418952,1.13192745464,0.00039822867999956,8,0,8,0,2,1,1,0,0,16,0.18,1,0.07,6,0.864669614431916,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.712E-3,0,0,0,20.1,7.4,68.3,1846.88,70.37,3.61,3.66,1.14,-1.14,2.8,-2.8,-25.22,25.22,-45.28,45.28,91.74,37,null,null,0,0,0.73,0.2,0.29,0.33,3.7,59.9,0.3412918,0.3306047,0.1861618,0.1861618,9.199781e-05,0.0006064237,0.8376216,0.8050458,87.81566,68.20049,38.44697,24.65078,92.42424,78.06081,51.16793,56.03944,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,23.79,0,0,0,0,0,23.79,98.78,0,0,0,0,0,35,0,60,61.69,25,31.84,20,49.53,16.67,17.27,0,0,26.67,34.8,18.6,18.6,2998.50304651,0,0,1,0,1,0,0,0,0,0,0,15.063,0,0,0,0,0.5]
["150602030705","Pemberton Ranch Area","15060203","Lower Verde","150602","Verde",40444200,95.58,4.42,25.24,26.26,41.97,"150602030708",0,1,0,40.44995512,20439968,282.6109924,48.81,0,109.471206772,0.0171707141387,"09","AZ","AZ",{"$nulls":3},1,"AZ","Maricopa County-AZ","Maricopa County-AZ","81","81",7.42430606336632,1,0,2206.5100098,1420.8199463,4034.8300781,4.3538699,29.06,33.6,356.19,195.29,28.16,7.57,0,961.82,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0.48,0.48,0.48,0,0,0,0,0,0,0.48,0.48,0.48,70.2665755297334,97.27,25.4,24.7,72.66,18.94,18.25,96.79,24.93,24.22,0.19,0.03,0.05,0,0,0,0,0,0,0.03,0,0,97.49,25.44,24.75,40.85,-0.53,-0.16,-0.02,91.39,97.46,25.44,24.75,40.84,-0.52,-0.15,-0.02,91.35,97.41,100,97.41,0,0.0559659975967,6.0364299,0.49,0.7,3.38,7.04,1,99.9354659,null,0,4.98,4.97,0,0,0,0,0,0,1,1,0,46,0,0,1.84252045614,0.599403619766,null,null,0.9447839,0.9336176,0.8696685,0.8815492,0.9179033,0.8967905,0.9530142,0.9699514,0.9833333,0.9861793,null,null,1,null,88.4154,88.18342,68.6553,48.50088,75.34722,75.04409,64.89899,65.78483,71.63278,70.79646,null,null,100,null,0.5,1.38,0.43,0.18,0,0,0,0.83,0,0.02,0.17,1.19,0,0.01,0.06,0.37,0,0.02,0.04,0.13,4.26,3.35,1.13,0.38,0.31,0.54,0.16,0.02,0.22,1.1,0.37,0.28,0.03,0.02,0.03,0,0.507365703583,0.00667586452445592,0,2.05192893401,0.233655258355957,0.00667586452445592,1.87721311475,1.96721621622,0,2.28496774194,2.51,0.82,0.49,0.53,0.17,0.02,1.05,2.54,0.82,0.49,0.52,0.15,0.02,1.05,0.3,24.33,0.6,0,0,0,0,0,0,22.27,0.55,2.06,0.05,0,0,3.86,0.38,0,0,0,0,0,0,3.25,0.32,0.61,0.06,0,0,21,0.5192,14,0,7,0,0,0,0,0,0,21,0,2328,0.12,0.66,0.3,1.93,1.53,2.59,1.82,2.59,1.82,0,0,0,0,0,0,0,0,0,0,0,0,0.111976504326,0.724553823471,0.0262774450493,0.0867598623948,-0.0602038524194,4.63472035823,0.568819438235,2.62094901312,3.18976845135,0.68635163582,0.758600271057,1.44495190688,0.513000554988,0.309832496744,0.822833053895,0.00280169108925454,9,12,21,1,0,2,0,0,0,36,0.93,20,2.37,56,3.01913592533343,4,0,0,0,0,0,0,0,0,0,0,0,0,0.0135605701436334,0,0,0,0.005167,1.00139596092E-6,1.1342921368e-09,0,6.9,0.9,6.9,266.97,1.86,3.48,3.51,0.36,-0.36,1.78,-1.78,1.46,-1.46,-15.24,15.24,0,16,null,null,0,0,5.68,0.1,0.51,0.3,55.53,34.05,0.1468425,0.1397087,0.1096437,0.08494458,2.776713E-4,8.350049e-05,0.3306059,0.3340981,50.28409,58.46561,21.59091,17.37213,63.88889,79.18871,61.26894,57.49559,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,89.47,0,0,0,0,0,0,0,0,0,0,67.91,0.01,0,0,0,0,40,51.75,10,17.14,72,97.47,17.65,25.22,0,2.23,20,55.09,15.3,16.6,6136.21204376,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150701040202","Miller Reservoir-Centennial Wash","15070104","Centennial Wash","150701","Lower Gila-Agua Fria",151310700,98.08,1.92,11.97,53.2,58.29,"150701040203",8,9,1170.44616,1321.766832,20392875,1654.3800049,108.92,0.06,206.504532518,0.133816231366,"09","AZ","AZ",{"$nulls":3},1,"AZ","La Paz County-AZ, Maricopa County-AZ","La Paz County-AZ","81","81",0,0,0,2493.5,1961.5899658,5675.4199219,6.53931,27.84,32.34,247.79,144.89,15.66,3.5,0,965.95,2.35,0,2.35,0,0.01,0,0.01,0,0.03,0,0.03,0,0.01,0,0,null,0.1,0.1,0.1,0,0,0,0.05,0.05,0.05,0.05,0.05,0.05,64.1523525018671,98.26,51.69,11.46,1.07,-0.32,-0.22,95.87,51.63,11.38,0.01,0.01,0,0,0,0,0,0,0,0.16,0.15,0.1,98.48,51.9,11.62,56.95,-0.39,-0.37,-0.23,94.25,98.32,51.75,11.52,56.79,-0.36,-0.34,-0.21,94.09,97.28,65.69,96.58,0,0,10.2363005,0.7,0.77,null,null,0,56.9279626,null,0,4.9,4.87,0,0,0,0,0,0,1,1,0,38,0,0,7.1707108982,0.828351855278,null,null,0.9161313,0.9089738,0.9194794,0.9210736,0.9084495,0.8851694,0.8360611,0.8987561,0.9166667,0.9308963,null,null,1,null,63.13131,74.16226,89.74116,73.54497,72.06439,72.92769,14.64646,23.01587,52.19187,54.42478,null,null,100,null,0.5,1.1,0.9,0.08,0,0,0,0.62,0,0,0.04,1.05,0,0,0.03,0.87,0,0,0,0.08,0,0,0.42,0.4,0.27,0.38,0.37,0.24,0.38,0.41,0.39,0.26,0.01,0.01,0,0,0.0630490779877,0,0,0.298611269209,0,0,0.274491803279,0.2025,0,0.11,1.52,1.3,0.35,0.39,0.36,0.24,1,1.68,1.45,0.45,0.36,0.34,0.22,1.09,0.26,123.38,0.82,131.18,0.87,0,0,7.12,0.05,36.2,0.24,80.06,0.53,7.8,0.05,20.32,1.12,20.9,1.15,0,0,0.54,0.03,3.23,0.18,16.55,0.91,0.58,0.03,68,0.4494,36,21,0,11,0,0,0,0,0,57,11,1652,0.092,0.77,0.14,2.65,0.69,3.42,0.82,2.72,0.84,34.31,0,0,0,0,0,0,0,0,0,0,0,0,0.54022949934,0.00282868072052,0.101570748027,-0.0655208674886,2.17386990623,0.225276208517,1.33860669435,1.56388239994,0.234808087805,0.375179310133,0.609987344656,0.257101991753,0.199336050056,0.456437886023,1.5811870610179E-4,1,2,3,0,1,2,3,0,0,0,0,0,0,0,0.323146761692735,19,0,0,0,0,0,0,0,0,1,0.00918105031215571,900,0.0938593050269104,0.00666084367807753,0,0,0,1.8E-5,0,0,0,2.6,0.2,1.5,63.47,4.13,3.35,3.38,5.7,-5.7,8.49,-8.49,10.62,-10.62,-13.28,13.28,0,14,null,null,0,0,0.69,4.7,0.3,0.23,null,null,0.1631165,0.1478981,0.2961145,0.2467636,9.672667e-07,2.908684e-07,0.1932341,0.1969306,55.46086,61.19929,93.08712,61.02293,45.20202,60.22928,20.13889,28.13051,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,99.84,0,23.52,0,0,0,0,0,23.52,82.53,0,0,0,0,0,0,0,0,52.89,0,2.87,0,78.28,0,17.8,0,6.15,0,47.88,17.6,18.6,4539.12043619,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["150702011504","North Gila Valley-Gila River","15070201","Lower Gila","150702","Lower Gila",53486100,94.11,5.89,16.16,36.86,40.77,"150702011505",1531,1532,145120.0901,145173.5761,20380381,619205,58.23,0,64.7659253849,0.0161920772661,"09","AZ","AZ",{"$nulls":3},1,"AZ","Yuma County-AZ","Yuma County-AZ","81","81",0,0,1,313.1099854,141.8289948,1617.0699463,7.8250299,31.36,35.86,98.53,56.83,4.93,0.81,0,1303.1,0.01,0,0,0.01,0.01,0,0,0.01,0.01,0,0,0.01,0,0,0,0,4.86,4.86,4.86,0.03,0.03,0.03,0.49,0.49,0.49,4.37,4.37,4.37,16.3512738592611,53.02,11.86,8.1,0,-0.18,0.05,48.64,7.48,3.72,3.7,0.16,0.06,0.86,0.86,0.86,0,0,0,15.17,0.37,0.07,72.37,12.87,8.72,15.4,-0.38,-0.21,0.02,65.96,57.2,12.51,8.65,14.97,-0.01,-0.2,0.01,47.92,98.01,100,98.01,0,0,9.2441797,0.7,0.7,7.7,58.07,0,8.1054703,null,0,4.78,4.86,0,0,0,2,2,0,1,1,0,38,0,0,0.716469433518,11.3345336914,12.9236779786695,10.6333333333,0.6893518,0.5178539,0.505113,0.5876302,0.6791641,0.6233676,0.4458151,0.488294,0.8166667,0.8479718,null,0.04200563,1,null,4.79798,3.35097,1.830808,3.880071,8.175505,10.58201,1.073232,1.322751,34.0216,38.40708,null,3.050109,100,null,0.5,4.11,2.73,1.67,0.5,0.3,0.06,3.66,0.16,0.59,1.36,2.01,0.09,0.32,0.8,1.53,0.03,0.22,0.63,0.78,4.02,4.06,22.66,20.39,4.92,-0.1,-0.08,-0.05,13.81,21.6,19.52,3.98,1.06,0.86,0.94,0,17.6144695282,0.134614413838362,0.0555284457083242,0.425897690778,0.637735785559239,0.131249053492403,0.622472527473,0.506677559913,3.36536034595904E-3,0.534292682927,26.77,23.12,6.58,0.4,0.22,0,26.01,41.93,23.49,6.65,0.02,0.22,0,26.12,4.23,99.54,1.86,109.49,2.05,0,0,9.09,0.17,83.74,1.57,6.71,0.13,9.95,0.19,25.83,3.91,26,3.94,0,0,1.61,0.24,23.31,3.53,0.91,0.14,0.17,0.03,4,0.0748,0,0,0,0,0,0,0,4,0,0,4,5911,1.115,3.34,2.44,-1.35,-0.45,1.99,1.99,1.99,1.99,0,0,0.0187,1,0,0,0,0,0,0,0.0187,1,0.906762719154,92.2631072998,0.160546234359,13.1922095095,6.96775439795,2.60010678778,0.142992035828,1.70859149579,1.85158345775,0.166304736347,0.582218629442,0.748523583397,0.163584113487,0.261038972872,0.424623086359,1.00252084885097E-3,3,0,3,1,0,10,10,1,0,13,0.25,1,0.23,8,8.32637954485099,188,0,0,0,0,0,0,0,0,0,0,0,0,0.494458825519112,0,0,0,0.001646,12.31327228,0,0,18,4.4,19.4,112.23,0,3.09,3.07,4.01,-4.01,6.4,-6.4,3.94,-3.94,-12.65,12.65,0,10,null,null,0,0,18.07,12,0.3,0.3,2.67,0,0.2500248,0.2057714,0.3992614,0.3388108,0.1157972,0.04161956,0.2350158,0.2368839,75.66288,79.45326,96.27525,90.74074,51.29419,65.16755,94.50758,87.7425,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,59.2,0,0,0,0,0,0,0,0,31.03,0,98.33,1.71,0,0,0,0,25,38.95,0,11.02,54.17,69.74,16.67,19.16,0,6.67,33.33,60.1,18.6,18.7,615.880897999,0,0,0,0,0,0,0,0,0,0,0,93.421,0,0,0,0,0.5]
["150803020203","Upper Black Draw","15080302","San Bernardino Valley","150803","Rio De Bavispe",107931600,97.25,2.75,17.3,27.66,38.74,"150803020206",0,1,0,107.9397842,20369947,299.7369995,81.96,0.78,158.988942675,0.330000274296,"09","AZ","AZ",{"$nulls":3},1,"AZ","Cochise County-AZ","Cochise County-AZ","79","79",0,0,0,4621.9399414,4076.8500977,6136.1499023,5.5135198,25.1,29.17,396.58,280.52,22.06,2.33,0,662.87,0.07,0,0.07,0,0,0,0,0,0.01,0,0.01,0,-0.65,-0.02,-0.11,38.5529431664411,0.01,0.01,0.01,0,0,0,0,0,0,0.01,0.01,0.01,27.8693755983406,99.79,27.63,17.27,-0.14,-0.02,-0.03,99.71,27.62,17.25,0.21,0.03,0.03,0,0,0,0,0,0,0,0,0,99.99,27.66,17.3,38.73,-0.01,0,0,96.35,99.99,27.66,17.3,38.73,-0.01,0,0,96.35,97.73,73.91,97.42,0,0.094760014676,6.5167398,0.58,0.68,0,2.93,1,95.2361479,null,0,5,4.99,0,0,0,0,0,0,0,0,0,47,0,0,3.30009000677,0.068468362093,null,null,0.8772461,0.8574421,0.8734151,0.8882654,0.6094029,0.5324972,0.9034127,0.866448,1,1,null,null,1,1,33.96465,44.49438,70.80177,81.34831,2.556818,3.820225,33.4596,29.88764,100,100,null,null,100,100,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0233481209725,0,0,null,0,0,null,null,0,null,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,76.55,0.71,0,0,0,0,0,0,76.55,0.71,0,0,0,0,31.73,1.71,0,0,0,0,0,0,31.73,1.71,0,0,0,0,579,5.3645,406,166,7,0,0,0,0,0,0,579,0,0,0.143,0.68,0.4,1.9,1.76,2.58,2.16,2.27,1.9,26.09,21.74,0,0,0,0,0,0,0,0,0,0,0.00134251697455,0.068468362093,0.00125083969656,0.0113715513529,-4.87937558755E-3,2.48430366701,0.551101713244,1.0135427617,1.56464447494,0.662748035007,0.256911679626,0.919659198405,0.554401666566,0.375334141441,0.929735330566,7.52893521525515e-05,2,0,2,0,0,0,2,0,0,2,0.02,0,0,0,0.253662358548908,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.000171,0,0,0,3.9,0.3,3.8,112.27,1.04,3.44,3.46,-1.34,1.34,2.17,-2.17,-6.54,6.54,-35.61,35.61,0,24,null,null,0,0,3.06,0.4,0.42,0.32,6.36,87.27,0.04209643,0.03871038,0.05845675,0.05693184,9.189033e-06,4.553763e-05,0.06782334,0.05915377,8.207071,4.94382,14.89899,11.46067,22.22222,8.988764,30.58712,24.94382,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,82.35,0,0.21,0,0,0,0,0,0.21,5.74,0,0,0,0,0,0,0,33.33,43.23,0,7.25,33.33,29.12,0,7.49,0,2.03,33.33,34.67,13,13,423.979094982,0,0.26,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["160401010603","John Day Creek","16040101","Upper Humboldt","160401","Humboldt",78066000,86.25,13.75,40.42,27.51,47.36,"160401010610",0,1,0,78.0589283,10785184,614.4730225,109.17,1.13,156.641446436,1.1240833326,"09","NV","NV",{"$nulls":3},1,"NV","Elko County-NV","Elko County-NV","13","13",0,0,0,6665.0898438,5241.0498047,10793.5996094,11.7798996,14.19,19.34,452.71,284.2,178.15,104.03,59.15,254.64,20.2,14.43,5.27,0.5,0.96,0.88,0.08,0.01,5.02,4.01,0.95,0.06,-0.14,0,0.02,86.3620318968007,8,8,8,0.1,0.26,0.14,4.97,4.97,4.97,3.03,3.03,3.03,4.57211974599335,68.61,12.86,22.39,-0.27,-0.18,-0.16,45.38,8.87,14.35,15.79,3.37,4.58,2.37,2.37,2.37,0,0,0,0.22,0,0.05,89.59,21.2,32,38.36,-0.16,0.01,-0.07,77.23,89.36,21.2,31.95,38.31,-0.18,0.01,-0.08,77,98.16,100,98.16,0,6.04070786258,11.8048,0.61,0.61,0,24.4,1,99.8593502,null,0,4.8,4.89,1,1,0,1,0,1,1,0,1,14,0,0,3.02605500336,3.19995379448,56.0916903239924,38.9333333333,0.7436352,0.7383735,0.7917056,0.8311009,0.6211925,0.6079938,0.8393336,0.8749272,0.8,0.8,0.5677249,0.5778455,0.8418544,null,14.53856,15.53585,8.596713,23.51581,3.37126,3.546646,18.58407,23.78566,20.88795,19.23378,70.98485,77.05036,13.27434,null,0.5,0.4,0.1,0.19,0.08,0.03,0.01,0.28,0,0,0,0.4,0,0,0,0.1,0,0,0,0.19,0,0,7.64,3.83,5.87,-0.15,-0.32,-0.2,6.93,0,0,0,7.64,3.83,5.87,9.65000001072,7.23730802536,0.0518791791560987,0.00576435323956652,null,0,0,null,1.02297519717,0.0518791791560987,0.915754565376,8.04,3.93,6.06,-0.07,-0.29,-0.18,7.22,8.26,3.94,6.1,-0.07,-0.29,-0.18,7.3,0,58.73,0.75,0,0,0,0,0,0,58.73,0.75,0,0,0,0,22.83,0.76,0,0,0,0,0,0,22.83,0.76,0,0,0,0,60,0.7686,30,27,3,0,0,0,0,0,0,60,0,0,0.048,0.36,0.05,1.47,0.37,1.84,0.42,1.84,0.42,0,0,0,0,0,0,0,0,0,0,0,0,0.114284068346,0.685704410076,0.163114780073,0.837583310511,-0.0724483148903,2.32657216334,0.435628684093,0.84038936143,1.27601798643,0.583127381482,0.467426736338,1.05055411782,0.46066250206,0.159937125459,0.620599568427,0.0124338930201014,211,0,211,0,88,20,14,0,0,10,0.14,3,0.14,30,1.36741042007399,0,0,0,0,0,0,0,0,0,1,0.00916002564807181,561,0.107373899690269,0.087876967875865,0,0,0,0.001339,0.0482240001049,0,0,46.3,22.9,186.8,6123.7,69.48,3.77,3.92,9.61,-9.61,7.8,-7.8,-0.87,0.87,-7.55,7.55,72.6,44,null,null,0,0,4.88,0.8,0.39,0.39,54.21,14.71,0.349915,0.3518311,0.2937184,0.2969422,0.002883871,0.001076274,0.7531429,0.7574748,82.46945,80.10794,90.30763,87.77949,82.30088,81.68851,84.15508,77.1781,1,1,1,1.174,11.6291251964379,0,0,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,46.07,0,13.28,0,0,0,0,0,13.28,35.83,0,0,0,0,0,0,0,0,39.98,0,3.07,0,39.14,0,18.79,0,0,25,22.42,19.2,19.2,196.011937797,0,0,0,0,0,0,0,0,0,0,0,10.091,0,0,0,0,0.5]
["160401050305","Mill Gulch","16040105","Middle Humboldt","160401","Humboldt",120527100,96.29,3.71,13.94,47.85,53.79,"160401050400",12,13,1404.048262,1524.587876,11211036,821.3829956,65.03,0,52.7964310046,0.00595474177938,"09","NV","NV",{"$nulls":3},1,"NV","Eureka County-NV, Lander County-NV","Lander County-NV","13","13",0,0,0,5252.1699219,4733.6401367,6843.2597656,4.7630501,18.1,23.68,265.03,169.28,20.51,12.7,4.78,444.61,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,1.74,1.74,1.74,0.01,0.01,0.01,0.16,0.16,0.16,1.58,1.58,1.58,64.0275554261873,97.37,45.65,12.93,-1.47,-1.26,-0.69,95.8,44.07,11.35,0.45,0.39,0.07,0.45,0.45,0.45,0,0,0,0.14,0.09,0.05,98.13,46.28,13.2,52.2,-1.38,-1.22,-0.6,94.23,97.98,46.19,13.15,52.08,-1.42,-1.23,-0.63,94.07,95.39,100,95.39,0,0,5.7220602,0.56,0.63,0.06,18.53,0,94.8565877,null,0,4.92,4.7,0,0,0,0,0,0,0,0,0,15,0,0,2.6222140003,1.43856358528,null,null,0.8777177,0.8695139,0.7877717,0.8046024,0.8853649,0.8877741,0.795452,0.8656792,0.92,0.92,null,null,1,null,58.40708,62.91442,8.048883,10.63994,75.13696,78.14187,11.63085,20.81727,31.88161,30.45348,null,null,100,null,0.5,0.51,0.34,0.02,0.18,0.14,0.01,0.43,0,0.11,0.23,0.16,0,0.08,0.17,0.09,0,0,0,0.01,0,0,0.91,0.78,0.27,0.77,0.64,0.15,0.51,0.83,0.69,0.19,0.09,0.09,0.09,0,0.00970736052841,0,0,0.619356913183,0,0,0.519868421053,0.495159574468,0,0.34131661442,1.42,1.12,0.29,0.95,0.78,0.16,0.93,1.56,1.21,0.34,0.98,0.79,0.2,0.97,0.19,201.67,1.67,0,0,0,0,10.03,0.08,189.2,1.57,2.44,0.02,0,0,33.71,2.15,0,0,0,0,0.07,0,33.64,2.14,0,0,0,0,157,1.3026,58,60,37,0,2,0,0,0,0,155,2,0,0.205,0.76,0.5,3.85,1.73,4.61,2.23,4.61,2.23,0,0,0.0083,1,0,0,0,0,0,0,0.0083,1,0,0.351929157972,0.00788111518304,0.0942011148435,-0.129975891915,1.56349571141,0.266912760493,0.648600007674,0.915512768167,0.368247631739,0.279735262815,0.647982943248,0.284587968304,0.135516502648,0.420103757652,0.00050042223889429,13,0,13,0,9,1,1,0,0,1,0.01,0,0,0,0.0570781704458491,0,0,0,0,0,0,0,0,0,1,0.0153775180685837,21784,2.30790605989608,0,0,0,0,2.12E-4,0,0,0,3.4,4.7,420.7,750.28,25.82,3.71,3.86,10.45,-10.45,8.97,-8.97,2.64,-2.64,-22.98,22.98,96.86,32,null,null,0,0,1.74,2.3,0.44,0.37,29.24,51.7,0.286905,0.2884968,0.2682986,0.2696524,3.545683e-05,1.469525E-5,0.592381,0.5958232,68.90013,65.22745,85.33502,82.96068,71.0493,69.468,61.44121,56.43793,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,92.35,0,0,0,0,0,0,0,0,92.35,0,0,0,0,0,555,0,0,25.51,0,14.05,0,15.39,0,9.55,0,0,0,30.67,null,17.7,157.962743729,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
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["160600030402","Manhattan Gulch","16060003","Southern Big Smoky Valley","160600","Central Nevada Desert Basins",56709000,99.97,0.03,0.29,8.13,8.34,"160600030403",0,1,0,56.70549196,null,222.5370026,30.68,0,78.6461130576,0.030889933229,"09","NV","NV",{"$nulls":3},1,"NV","Nye County-NV","Nye County-NV","13","13",0,0,0,7241.7597656,6076.5297852,9250.25,11.7441998,15.51,20.13,288.53,197.58,62.83,42.06,30.65,364.04,64.95,0,64.95,0,3.71,0,3.71,0,0.01,0,0.01,0,-0.4,-0.01,0,100,0,0,0,0,0,0,0,0,0,0,0,0,40.9295352323838,98.65,7.96,0.19,0.01,0,-0.01,33.7,4.25,0.18,0.04,0.01,0,0.03,0.03,0.03,0,0,0,1.16,0.12,0.06,99.86,8.08,0.25,8.29,-0.03,-0.02,-0.02,98.53,98.7,7.97,0.19,8.11,0.02,0,-0.01,96.74,85.62,100,85.62,26,22.0553721631,6.4994702,0.61,0.55,null,null,1,100,null,0,5,5,0,0,0,0,0,0,0,0,0,16,0,0,5.88859700517,0,null,null,0.8734816,0.8431703,0.7991465,0.8003892,0.9015951,0.9056254,0.6666667,0.6666667,1,1,null,null,1,null,56.63717,52.08173,9.776654,10.13878,79.5196,82.69082,4.804046,5.204318,100,100,null,null,100,null,0.5,0.11,0.02,0,0.02,0.01,0,0,0,0,0.02,0.09,0,0,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.11,0.02,0,0.02,0.01,0,0,1.27,0.13,0.07,-0.03,-0.01,0,0.06,0,97.21,1.71,0,0,0,0,5.74,0.1,66.02,1.16,25.45,0.45,0,0,0.58,5.86,0,0,0,0,0,0,0.58,5.86,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,110,0.206,1.03,0.59,13.35,10.66,14.38,11.25,14.38,11.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.15511056137,0.239182492386,1.19632263105,1.43550506961,0.428812457125,0.29079298081,0.719605437935,0.162001295023,0.372128644456,0.534129939479,7.13619120371599e-05,1,0,1,0,0,0,0,0,0,29,0.51,0,0,0,0.0506196034605666,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.005445,0,0,0,1.8,0.1,3.9,49.93,0,3.69,3.82,10.1,-10.1,9.04,-9.04,-7.17,7.17,-22.52,22.52,84.86,37,null,null,0,0,0,0,0.39,0.45,null,null,0.1379292,0.1357976,0.3635436,0.3575687,0.000910672,0.0003774322,0.04933333,0.04944673,30.38348,31.0717,94.311,93.02236,11.92583,17.11642,80.19385,73.82421,0,0,0,null,null,0,null,null,0,null,null,0,null,null,0,null,null,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,92.85,0,0,0,0,0,0,0,0,89.89,0,0,0,0,0,40,0,24.71,24.85,1.01,0.57,29.89,29.91,11.57,11.33,1.3,0.86,11.49,11.31,18,18,19.5800367296,0,0,0,0,0,0,0,0,0,0,0,null,0,null,null,0,0.5]
["160600070702","Snow Creek-Paris Creek","16060007","Long-Ruby Valleys","160600","Central Nevada Desert Basins",63437400,96.4,3.6,20.39,18.73,32.63,"160600070704",0,1,0,63.43621479,22823430,258.1119995,62.81,0,108.659674152,0.0167462722048,"09","NV","NV",{"$nulls":3},1,"NV","White Pine County-NV","White Pine County-NV","13","13",0,0,0,7551.5,6253.6000977,10432.5996094,14.7847996,13.02,17.83,365.69,220.5,110.41,62.94,88.14,258.88,32.83,0.82,31.15,0.87,1.76,0.1,1.61,0.05,4.2,0.16,3.92,0.11,-4.97,-0.12,-0.7,100,0.54,0.54,0.54,-0.04,-0.01,-0.04,0.13,0.13,0.13,0.41,0.41,0.41,9.89037178265014,93.42,17.68,17.93,7.83,0.4,1.82,60.18,15.5,13.32,6.36,0.9,2.25,0.01,0.01,0.01,0,0,0,0,0,0,99.91,18.71,20.31,32.55,-0.07,-0.02,-0.07,95.07,99.91,18.71,20.31,32.55,-0.07,-0.02,-0.07,95.07,99.89,100,99.89,0,8.20585648214,11.2139997,0.59,0.6,0,1.88,1,99.9588581,null,0,4.75,4.94,0,0,0,0,0,0,0,0,0,12,0,0,3.62646099822,0,null,null,0.828456,0.7969545,0.8560689,0.8548373,0.773409,0.769353,0.762802,0.8136278,0.75,0.75,null,null,1,null,34.30257,31.34156,57.60641,51.50347,23.93595,22.32074,8.680995,12.06631,15.98309,16.14543,null,null,100,null,0.5,0.01,0,0.01,0,0,0,0,0,0,0,0.01,0,0,0,0,0,0,0,0.01,0,0,0.07,0.02,0.07,0.07,0.02,0.07,0.06,0,0,0,0.07,0.02,0.07,0,0.00283744279295,0,0,null,0,0,null,1.91727272727,0,1.87811594203,0.08,0.02,0.07,0.07,0.02,0.06,0.07,0.08,0.02,0.07,0.07,0.02,0.06,0.07,0,94.32,1.49,0,0,0,0,4.08,0.06,90.24,1.42,0,0,0,0,41.28,3.21,0,0,0,0,1.86,0.14,39.42,3.07,0,0,0,0,164,2.5852,119,37,8,0,0,0,0,0,0,164,0,0,0.006,0.02,0,0.09,0,0.11,0,0.11,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.00260670569551,0.0214165652532,-0.00704089249316,2.1074089846,0.313511455908,0.990756528578,1.30426834086,0.521486229292,0.28165505808,0.803141568995,0.304799433706,0.224874359672,0.529673793378,0.00653929383214281,90,0,90,0,95,3,2,0,0,2,0.03,0,0,0,0.0273484323059166,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0222305523153456,0,0,0,0.000341,0,0,0,15.1,3.3,43.1,1482.71,59.15,3.75,3.91,9.76,-9.76,7.05,-7.05,6.87,-6.87,14.06,-14.06,69.03,50,null,null,0,0,0.9,0,0.41,0.4,40.65,57.47,0.3998216,0.4058579,0.4360609,0.4497734,5.703198e-05,2.363717e-05,0.7633469,0.7677766,93.08892,93.17656,96.41804,95.75944,82.72229,82.22822,64.89676,59.63763,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,86.11,0,39.72,0,0,0,0,0,39.72,86.08,0,0,0,0,0,0,0,25,42.21,0,2.6,25,17.82,0,11.04,0,0,25,27.02,17.1,17.1,62.6581018567,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["160600100405","Rhodes Salt Marsh","16060010","Fish Lake-Soda Spring Valleys","160600","Central Nevada Desert Basins",119271600,95.69,4.31,26.19,28.86,48.48,null,4,5,378.4592865,497.7372057,19855144,307.0169983,147.86,7.22,174.341171553,7.21745213717,"09","NV","NV",{"$nulls":3},1,"NV","Mineral County-NV","Mineral County-NV","13","13",0,0,0,5609.8701172,4332.4301758,9170.6601563,9.2127304,18.97,24.02,216.35,141.39,37.33,22.68,9.22,561.63,1.47,0,1.47,0,0.05,0,0.05,0,0.24,0,0.24,0,0,0,0,97.2331440221348,0.24,0.24,0.24,-0.02,-0.02,-0.02,0.04,0.04,0.04,0.2,0.2,0.2,57.3089499818336,85.15,17.65,24.41,0.22,0.07,-0.02,83.48,17.4,23.97,0.14,0.12,0.02,0.02,0.02,0.02,0,0,0,14.49,10.87,1.63,99.81,28.69,26.11,48.31,-0.02,-0.01,-0.02,94.5,85.33,17.82,24.48,36.87,0.23,0.09,-0.01,77.96,98.07,100,98.07,0,0.478056804805,9.0350904,0.7,0.66,26.32,21.77,0,100,null,0,5,4.99,0,0,0,0,0,0,0,0,0,21,0,0,2.6137179958,0.062479250133,29.8773407409175,29.8666666667,0.831938,0.7980436,0.9037809,0.8896229,0.8962429,0.8997804,0.9528398,0.9632961,1,1,0.2387643,0.2375184,1,null,35.52465,31.84271,87.98989,80.41635,78.50822,81.34156,78.63464,80.64765,100,100,12.27273,18.20144,100,null,0.5,0.12,0.11,0.02,0,0,0,0.11,0,0.02,0.09,0.01,0,0.02,0.08,0.01,0,0,0.01,0,0,0,0.05,0.05,0.05,0,0,0,0.05,0.01,0.01,0.01,0.04,0.04,0.04,0.119999993041,0,0,0,0.58,0,0,0.58,0.559375,0,0.559375,0.17,0.16,0.06,0,0.01,0,0.16,14.65,11.03,1.69,-0.25,-0.1,-0.01,10.15,0.02,53.61,0.45,0,0,0,0,4.72,0.04,36.51,0.31,12.38,0.1,0,0,19.09,0.63,0,0,0,0,0,0,12.39,0.41,6.7,0.22,0,0,108,0.9055,66,29,13,0,0,0,0,0,0,108,0,2824,0.169,0.61,0.45,1.32,1.15,1.93,1.6,1.93,1.6,0,0,0,0,0,0,0,0,0,0,0,0,0.00452748173848,0.00633847434074,1.77620078693E-3,0,1.77620078693E-3,1.28134100314,0.100262944022,0.719947185356,0.820209999721,0.187843973683,0.273286896681,0.461130873765,0.0720303723249,0.344185918046,0.416216290371,0.00010178942857432,2,0,2,0,0,1,0,0,null,0,0,0,0,0,0.0942987007709066,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.2e-05,0,0,0,1.5,0.1,0.4,1.51,0,3.68,3.81,10.29,-10.29,8.92,-8.92,-8,8,-31.71,31.71,87.85,27,null,null,0,0,0.07,0,0.3,0.34,9.65,34.83,0.08733567,0.0873435,0.25,0.25,7.024467E-6,2.911323E-6,0.012,0.01202758,11.46228,14.37934,78.17109,75.48188,6.026127,10.37008,49.72609,46.14495,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,93.09,0,0,0,0,0,0,0,0,93.09,0,0,0,0,0,0,0,0,56.94,0,19.06,0,78.92,0,16.47,0,0,0,43.55,14.5,14.5,94.2488414496,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
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["160600150204","Sixmile Spring","16060015","Ivanpah-Pahrump Valleys","160600","Central Nevada Desert Basins",91108800,99.62,0.38,2.51,50.72,51.16,"160600150205",3,4,393.6268375,484.7472962,12085185,729.9530029,31.89,0,145.87178974,0.00100971540585,"09","NV","NV",{"$nulls":3},1,"NV","Clark County-NV, Nye County-NV","Nye County-NV","14","14",0,0,0,3403.4399414,2526.3500977,8355.8701172,5.4725699,24.65,29.5,163.93,85.09,17.65,7.28,0.83,887.03,2.78,0,2.74,0.04,0.08,0,0.08,0,0,0,0,0,0,0,0,31.976638072641,0,0,0,0,0,0,0,0,0,0,0,0,45.0457951706911,74.59,27.53,0.83,-0.75,-0.65,-0.02,71.82,27.45,0.83,0.03,0.01,0,0,0,0,0,0,0,10.1,9.65,0.89,84.73,37.19,1.72,37.45,-1.05,-0.95,-0.03,26.77,74.63,27.54,0.83,27.79,-0.74,-0.65,-0.02,2.04,81.41,100,81.41,0,0.225057294136,7.8031101,0.69,0.7,11.1,21.81,0,99.999999,100,0.0177812427131,3.66,4.7,1,0,1,1,0,1,3,1,2,33,0,0,3.72371000343,0.313329786062,35.202267361113,35,0.535303,0.5454185,0.5610764,0.7351708,0.6665668,0.6654122,0.6515602,0.6566058,0,0.1250979,0.3326145,0.5448057,1,null,2.23346,2.363488,1.812052,6.764466,5.857564,14.83293,4.171934,3.422983,1.057082,1.227496,24.4697,23.61446,100,null,0.5,15.27,13.52,0.8,1.06,0.95,0.04,13.96,0.29,1.69,7.86,5.43,0.23,1.45,7.05,4.79,0.01,0.08,0.38,0.32,11.29,0.54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.106666666667,0,0,null,0.288571428571,0,null,15.27,13.52,0.8,1.05,0.94,0.04,13.97,25.37,23.18,1.68,0.74,0.65,0.01,24.1,0.1,322,3.53,0,0,0,0,18.02,0.2,289.12,3.17,14.86,0.16,0,0,19.79,8.65,0,0,0,0,4.47,1.95,14.93,6.52,0.39,0.17,0,0,100,1.0976,0,100,0,0,0,0,0,0,0,100,0,1013,4.216,13.05,11.19,5.54,5.95,18.59,17.14,18.59,17.14,0,0,0,0,0,0,0,0,0,0,0,0,0.0776138007641,0.0603662878275,0.0345631403383,0.0308408748382,0.000749313227366,3.00615358456,0.228680550524,1.70611816106,1.93479903416,0.255114308658,0.816240241742,1.0713545504,0.194629341113,0.480700680599,0.675330021712,0.000578143543862,9,0,9,0,0,4,4,0,0,4019,44.28,146,75.28,4,21.9164136463919,334,0,0,0,0,0,0,0,1,0,0,0,0,0.0384028208446335,0,0,0,0.748071,0,0.0117160000609,0,3.5,0.7,49.3,268.66,10.91,3.43,3.51,8.11,-8.11,6.68,-6.68,-1.65,1.65,-28.61,28.61,90.36,16,null,null,0,0,19.68,8,0.31,0.3,41.96,17.31,0.2479543,0.2039921,0.3968801,0.3265502,0.2083161,0.1048706,0.1386667,0.1805556,60.5984,83.94458,95.57522,89.97555,24.8209,66.66667,96.29161,93.31703,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,49.17,0,4,0,0,0,7.78,0,7.78,49.12,0,0,0,0,0,1488,6,46.46,100,8.14,32.15,22.05,73.11,13.27,26.19,0.35,3.76,33.9,41.84,25.6,26.7,4179.58764076,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
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["180101020402","Boulder Creek","18010102","Mad-Redwood","180101","Northern California Coastal",49382100,96.6,3.4,21.31,4.71,22.37,"180101020406",0,1,0,49.3766091,8318349,286.8049927,45.78,0,166.837770219,0.00199077170057,"09","CA","CA",{"$nulls":3},1,"CA","Humboldt County-CA","Humboldt County-CA","1,78","1",0,0,0,3094.2399902,372.2720032,5089.3100586,16.6613007,17.29,20.78,2478.49,952.67,1967.57,700.32,182.21,210.83,77.71,3.52,69.9,4.28,4.31,0.31,3.49,0.51,18.34,1.02,15.94,1.38,-2,0.13,0,83.7076441830408,0,0,0,0,0,0,0,0,0,0,0,0,37.2983870967742,91.23,4.54,19.92,-0.47,0.05,0.12,13.52,0.23,1.59,4.67,0.03,0.34,0,0,0,0,0,0,0,0,0,95.9,4.57,20.27,21.31,-0.02,0,0,87.17,95.9,4.57,20.27,21.31,-0.02,0,0,87.17,95.84,100,95.84,79,65.7112941734,6.9036002,0.63,0.66,0,7.6,1,99.9835968,null,0,4.95,4.97,0,0,0,1,1,0,2,1,1,15,0,0,7.60225201683,0,69.3016146372336,68.7666666667,0.7843015,0.902803,0.8521462,0.861697,0.8424598,0.8160401,0.9514245,0.9173836,0.975477,0.9649958,null,0.9538984,0.3,null,31.36625,98.29545,50.12629,83.23864,66.59013,39.20455,56.71642,75.99432,81.12245,96.80697,null,97.3607,10.56257,null,0.5,4.1,0.14,1.04,0.02,0,0,3.32,0.03,0.06,0.24,3.77,0,0,0.02,0.11,0.01,0.02,0.07,0.94,0.02,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0382729768753,0,0,null,0,0,null,null,0,null,4.1,0.14,1.04,0.02,0,0,3.32,4.1,0.14,1.04,0.02,0,0,3.32,0.03,72.79,1.47,0,0,0,0,0,0,72.79,1.47,0,0,0,0,19.37,1.84,0,0,0,0,0,0,19.37,1.84,0,0,0,0,47,0.9518,43,4,0,0,0,0,0,0,0,47,0,0,0.242,1,0.41,3.16,2.5,4.16,2.91,4.16,2.91,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.27220400099,0.841419293356,0.944684593584,1.78610412142,1.00195689394,0.484143220104,1.48610011405,2.0882712283,0.451672117077,2.53994387642,0.0172298217893185,128,53,181,3,14,6,12,0,0,5,0.1,0,0,0,0.719713699049751,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.000396,0,0,0,245.4,160.7,290380.5,859.6,58.47,2.76,2.89,2.36,-2.36,-5.19,5.19,1.06,-1.06,-2.08,2.08,82.7,47,0,0,0,0,0.36,0.4,0.37,0.34,81.18,11.22,0.3451878,0.3901234,0.25,0.25,7.018923e-06,9.66671e-05,0.7855565,0.9202736,74.14466,94.03409,50.05741,85.36932,81.58439,96.875,30.40184,17.04545,1,4,4,100,100,0,0,0,0,0,0,1,99.9738123919761,99.9738123919761,1,100,100,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6.06,0,0,0,0,0,0,0,0,4.41,0,0,0,0,0,0,0,6.45,43.81,6.25,9.9,12.5,17.65,8.7,8.8,0,0,34.38,34.01,17.1,17.1,725.062424183,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0.5]
["180101051003","Price Creek-Eel River","18010105","Lower Eel","180101","Northern California Coastal",109129500,94.7,5.3,22.53,9.84,25.9,"180101051102",98,99,8065.480995,8174.603135,2714323,26660.1992188,91.7,0,144.858608723,0.0177954550507,"09","CA","CA",{"$nulls":3},1,"CA","Humboldt County-CA","Humboldt County-CA","1","1",0,0,1,836.1430054,27.2633991,2609.6799316,16.9183006,18.45,20.76,1361.87,499.76,855.89,310.76,0,288.27,70.55,4.15,55.68,10.72,2.96,0.25,2.1,0.61,14.15,1.05,10.41,2.7,1.28,0.01,0.09,72.563345779925,1.29,1.29,1.29,0.03,0.04,0.03,0.89,0.89,0.89,0.4,0.4,0.4,34.754831496566,79.41,3.55,15.78,0.43,0,0.06,8.46,0.2,1.23,9.29,0.55,1.43,1.35,1.35,1.35,0,0,0,0.81,0.35,0.75,90.4,5.34,18.85,19.77,-0.05,0.03,0.08,84.71,89.59,5,18.1,19,-0.12,0.02,0.03,83.84,89.25,100,89.25,76,57.9128118428,8.8617697,0.64,0.64,0,25.75,0,83.8093231,0,0.358416943785,4.61,4.88,0,0,0,0,0,0,0,0,0,14,0,0,3.86286100354,0.946501195431,54.6899712221982,29.7,0.7323097,0.6939872,0.8337193,0.8122327,0.8014301,0.7411921,0.9176788,0.703434,0.8087204,0.7269672,null,0.4861098,0.3,null,18.94374,32.8125,30.63146,24.14773,51.20551,17.32955,37.03789,9.090909,32.72263,72.85922,null,50,10.56257,null,0.5,5.33,1.4,1.47,0.22,0.05,0.07,4.26,0.09,0.89,1.45,2.91,0.04,0.41,0.58,0.37,0.03,0.21,0.34,0.88,0.93,0.02,2.92,1.74,0.85,-0.04,-0.01,-0.02,2.66,0,0,0,2.92,1.74,0.85,0,0.0818911865354,0.136901571069234,0.0280400808214094,null,0,0,null,1.46898253396,0.136901571069234,2.45203,8.25,3.14,2.32,0.18,0.03,0.04,7.14,9.06,3.49,3.07,0.25,0.05,0.09,7.87,0.25,173.18,1.59,185.3,1.7,0,0,20.15,0.18,132.05,1.21,20.98,0.19,12.12,0.11,40.17,1.71,46.63,1.99,0,0,3,0.13,34.21,1.46,2.96,0.13,6.46,0.28,166,1.5211,34,124,0,0,0,0,8,0,0,158,8,4893,1.282,3.57,2.69,7.17,4.46,10.75,7.15,10.75,7.15,0,0,0,0,0,0,0,0,0,0,0,0,1.34087669849,1.28829324245,0.445382032558,0.0492865876755,0.261705658007,4.54159287664,0.68159364364,1.21659756271,1.89819112409,0.839339969664,1.80406170062,2.64340175255,1.81436314214,1.10050488418,2.91486742191,0.0405274034470832,670,274,944,14,72,29,64,2,1,3568,34.32,0,0,0,12.906257549888,518,6,0,24,0,0,0,0,0,0,0,0,0,0,0,2.1,2.1,0.261257,0,0.149120000218,0,285.1,58.6,132918.8,479.55,45.97,2.58,2.69,4.03,-4.03,-3.33,3.33,3.93,-3.93,1.36,-1.36,0,30,0,0,0,0,5.68,4.7,0.36,0.36,71.18,0,0.36174,0.3885721,0.2510174,0.2518284,0.1235395,0.0806401,0.7106631,0.8332477,78.9667,93.60795,53.98393,87.21591,73.01952,92.1875,88.63375,86.22159,1,4,4,98.52,100,1,98.52,100,0,0,0,1,98.52,100,1,98.52,100,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.79,0,0,0,0,0,0,0,0,0,1,0.22,0.75,0,2,3300,5,37.24,45.78,11.23,20.48,22.6,28.6,10.55,15.66,0,0,23.65,33.04,22.3,22.5,1274.38921213,0,18.17,0,0,0,0,0,0,0,0,0,98.52,0,0,0,0,0.5]
["180101080605","Juan Creek-Frontal Pacific Ocean","18010108","Big-Navarro-Garcia","180101","Northern California Coastal",222881400,43.52,56.48,65.6,59.34,67.36,null,4,5,284.8609383,507.7465587,null,266.3269958,71.11,0,112.944321879,0.0104796718314,"09","CA","CA",{"$nulls":3},1,"CA","Mendocino County-CA","Mendocino County-CA","1","1",0,0,0,334.6860046,-2.39498,2385.0400391,10.1810999,17.43,19.34,1373.58,477.75,899.79,315.89,0.05,292.29,34.68,0.08,33.85,0.75,1.18,0.01,1.14,0.03,6.48,0.02,6.19,0.26,-0.48,0,-0.05,85.3488762989549,0.71,0.71,0.71,-0.01,0,-0.01,0.41,0.41,0.41,0.3,0.3,0.3,3.32651923434306,38.48,1.56,7.74,0.11,-0.01,-0.02,3.5,0.08,0.97,1.15,0.07,0.76,54.56,54.56,54.56,0,0,0,0.31,0.16,0.31,40.36,2.2,9.22,9.45,-0.05,-0.03,-0.04,37.7,40.04,2.04,8.91,9.14,-0.04,-0.01,-0.02,37.56,92.71,100,92.71,0,30.3727577501,12.9987001,0.63,0.7,0,35.65,0,37.7470243,0.204498977505,1.83708169274,4.57,4.83,0,0,0,0,0,0,1,0,1,15,0,0,5.22236877138,0,63.2487218126805,null,0.8473328,0.771321,0.7056584,0.7009643,0.7811372,0.7456162,0.9607665,0.8709302,0.789102,0.6989639,null,0.8401305,1,null,45.05166,63.63636,15.31573,12.07386,44.59242,18.03977,63.71986,53.26705,28.68738,68.79536,null,90.32258,100,null,0.5,2.63,0.14,0.9,0.03,0.01,0.01,2.1,0.01,0.09,0.32,2.22,0.01,0.01,0.01,0.11,0.01,0.07,0.23,0.59,2.66,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0.239782492479,0,0.0129216704489473,6.46083522447364E-3,10.6689189189,0.0149406814565953,0.0121140660458881,10.8275,4.72,0.0008076044030592,4.72,2.64,0.14,0.91,0.03,0.01,0.02,2.1,2.96,0.29,1.22,0.03,-0.02,0.01,2.24,0.09,257.56,1.16,0,0,0,0,28.33,0.13,155.82,0.7,73.41,0.33,0,0,69.88,0.48,0,0,0,0,16.68,0.12,35.9,0.25,17.3,0.12,0,0,268,1.2024,111,157,0,0,0,0,0,0,0,268,0,526,0.263,2.47,1.19,4.82,2.9,7.29,4.09,7.29,4.09,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.43306323189,0.833951400166,0.487405025485,1.32135653123,0.860344843188,0.251361857473,1.11170670066,2.25123214538,0.970999043966,3.22223154599,0.00072773347530206,28,0,28,5,40,7,20,0,0,262,2.69,82,4.21,31,0.777886478583794,362,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0.3,0.3,0.022584,0,4.79955428365E-4,0,106,16.1,153764.8,963.71,28.85,2.6,2.71,3.68,-3.68,-3.88,3.88,3.17,-3.17,1.55,-1.55,100,30,0,0.15,0,0,2.82,null,0.37,0.3,4.33,0.22,0.2299152,0.2587701,0.25,0.25,0.0007830096,0.005567235,0.4389627,0.5207432,37.42824,77.13068,50.05741,85.36932,45.37313,81.53409,55.59127,52.41477,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,0,97.6,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.58,13.65,0,0,0,0,0.86,0,14.48,0.84,0,2.19,0.46,1,1,739,0,47.88,48.05,7.14,7.52,14.55,38.25,4.44,12.02,1.2,0.94,38.79,38.93,18.7,20.4,738.015359521,0,0.05,0,0,0,0,0,0,0,0,0,53.067,0,0,0,0,0.5]
["180102070503","Bunton Hollow Creek-Shasta River","18010207","Shasta","180102","Klamath",106765200,97.23,2.77,15.53,21.99,32.06,"180102060802",21,22,1876.317516,1983.067243,3917058,12246.4003906,70,0.04,205.421125753,0.26159692671,"09","CA","CA",{"$nulls":3},1,"CA","Siskiyou County-CA","Siskiyou County-CA","9,78","9",0.0981952807234941,1,0,2803.7900391,2036.4300537,5004.5,9.8706799,19.37,24.46,507.54,199.19,195.01,69.5,3.46,422.64,8.26,0.84,7.41,0.01,0.32,0.04,0.29,0,1.07,0.09,0.98,0,0.56,0.02,0.07,14.3590146338909,0.85,0.85,0.85,0,0,0,0.43,0.43,0.43,0.42,0.42,0.42,10.4030436333373,33.45,2.3,4.5,-0.02,-0.02,0,24.77,1.55,3,36.81,8.51,5,0.12,0.12,0.12,0,0,0,0.54,0.02,0.02,71.24,11.26,9.95,18.03,-1.03,-0.37,-0.04,60.14,70.69,11.24,9.93,18,-1.01,-0.37,-0.04,59.61,83.96,100,84.12,0,3.48512155646,9.7449999,0.67,0.73,0.42,0.91,0,41.8054762,36.0142348754,2.3704700176,4.41,4.8,0,0,0,0,0,0,2,1,1,16,0,0,3.81606000216,9.85517787933,37.0176034552116,36.8333333333,0.6666655,0.59641,0.6875708,0.4969211,0.6651397,0.6000427,0.9199889,0.8668093,0.7106283,0.7419355,null,0.2763413,0.35,null,11.41217,6.097561,14.00689,2.090592,18.27784,5.226481,37.93341,41.2892,15.12059,35.02722,null,21.26697,15.77497,null,0.5,5.62,1.53,1.07,0.06,0.02,0.01,4.82,0.34,0.98,1.47,2.83,0.08,0.22,0.5,0.73,0.04,0.15,0.32,0.56,0,0,23.03,9.08,4.39,0.98,0.34,0.02,17.54,4.71,1.95,0.61,18.32,7.13,3.78,3.35000000189,11.2920770645,4.40031021344033,1.9733958256061,2.28830122592,0.484708500522642,0.0632228478942577,2.10020618557,3.57723505457,4.33708736554608,3.04126074499,28.64,10.61,5.46,1.03,0.36,0.03,26.07,29.19,10.63,5.48,1,0.36,0.03,26.17,0.79,232.66,2.18,244.92,2.29,25.14,0.24,22.05,0.21,175.1,1.64,10.37,0.1,12.26,0.11,40.07,2.77,41.31,2.85,3.07,0.21,6.59,0.45,29.71,2.05,0.7,0.05,1.24,0.09,109,1.0209,58,26,1,0,24,0,0,0,0,85,24,3190,1.669,4.51,3.32,11.37,9.82,15.88,13.14,16.04,13.27,0,0,0.0094,1,0,0,0,0,0,0,0.0094,1,0.273754924536,12.5927267075,0.138897355005,1.5744272913,-2.42173213201,2.53984102584,0.185883952434,0.764885427211,0.950769342899,0.354524412126,1.23454723407,1.58907164619,0.25825800269,0.128762258563,0.387019334744,0.0702566489525307,1722,32,1754,52,114,64,202,7,12,869,8.32,70,5.76,8,9.04438709300115,197,5,0,0,0,0,2,0,0,0,0,0,0,0.0205871714663106,0.3,0.1,0.4,0.092815,2.24706000018,0.024340000002,0,161,14,19581.7,2468.01,35.45,3.09,3.27,4.12,-4.12,-2.38,2.38,-6.93,6.93,-28.91,28.91,95.66,27,null,null,0,0,4.42,3.2,0.33,0.27,48.04,34.12,0.3119261,0.3469884,0.2650436,0.3132641,0.02937667,0.1008846,0.6413581,0.6268166,61.30884,86.41115,65.92423,86.75958,65.09759,78.04878,77.8186,88.67596,1,3,3,92.85,100,1,92.85,100,0,0,0,0,0,0,1,92.85,100,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,16.87,0,0,0,0,0,0,0,0,16.75,0,88.89,11.22,0,1,50,1,34.71,52.71,7.71,11.24,19.27,52.54,6.83,21.02,0.28,1.16,28.16,44.44,20.5,25.4,1328.89810491,4,0,3,0,1,0,0,0,0,0,0,92.85,0,0,0,0,0.5]
["180200010402","Dry Creek","18020001","Goose Lake","180200","Upper Sacramento",116666100,95.33,4.67,18.47,14.89,25.52,"180200010500",0,1,0,116.6811642,7917501,495.6300049,83.02,2.51,170.762859602,2.36100148698,"09,10","CA,OR","CA","OR",null,null,0,"OR","Lake County-OR, Modoc County-CA","Lake County-OR","9","9",0,0,1,5445.2099609,4705.4501953,6398.1499023,8.7207098,14.09,18.59,466.2,218.45,200.37,120.53,87.15,256,27.24,0,27.24,0,2.59,0,2.59,0,3.8,0,3.8,0,-28.77,-1.76,-1.68,64.0330150509791,0.37,0.37,0.37,-0.04,-0.04,-0.04,0.29,0.29,0.29,0.08,0.08,0.08,29.4990723562152,72.96,8.14,12.11,-19.81,-2.85,-2.5,45.64,5.47,8.23,23.29,3.57,3.06,2,2,2,0,0,0,0.01,0,0,96.54,11.99,15.46,22.31,-0.98,-0.98,-0.98,93.11,96.53,11.99,15.46,22.31,-0.88,-0.89,-0.89,93.1,92.07,87.34,91.47,0,13.8378603553,6.1062498,0.71,0.7,null,null,1,100,0,0.0232459448103,4.63,4.78,1,1,0,0,0,0,0,0,0,13,0,0,6.2703607137,1.53965544701,47.2525638154254,34.6666666667,0.8037313,0.6954361,0.8465063,0.832816,0.6369595,0.6928164,0.7130072,0.7548814,0.8221838,0.843318,null,0.3533489,1,null,45.14418,21.777,53.1654,38.15331,5.634736,11.67247,7.789195,11.14983,49.01437,67.15064,null,37.78281,100,null,0.5,0.03,0.01,0.03,0,0,0.01,0.02,0,0,0.01,0.02,0,0,0.01,0,0,0,0.01,0.01,0,0,1.43,0.89,0.99,0,0,0,1.18,0.07,0.03,0.06,1.36,0.86,0.93,0.300000659614,0.304799228907,0.00925718782062656,2.31429695515664E-3,0.60828125,0.00385716159192773,1.54286463677109E-3,0.506923076923,0.911429292929,0.00771432318385547,0.858905435592,1.46,0.9,1.01,0,0,0,1.2,1.47,0.9,1.01,-0.1,-0.09,-0.09,1.2,0.06,238.63,2.05,0,0,0,0,0,0,199.63,1.71,39,0.33,0,0,54.78,2.7,0,0,0,0,0,0,48.36,2.39,6.42,0.32,0,0,287,2.46,241,9,37,0,0,0,0,0,0,287,0,0,0.195,0.92,0.31,7.61,3.26,8.53,3.57,7.93,2.26,12.66,12.45,0,0,0,0,0,0,0,0,0,0,0,0.824815452099,0.0108859623477,0.0878823696995,-0.196352756599,1.53425074944,0.14791269512,0.823153030171,0.971065725499,0.179271850102,0.3839131722,0.563185024144,0.162573944509,0.163121547413,0.325696080789,0.0291282564803775,824,0,824,0,17,14,8,0,0,11,0.1,3,0.19,27,0.232641161200094,0,0,0,0,0,0,0,0,0,3,0.0361358708744881,4085,0.77169295729488,0.0666232737480171,0,0.3,0.3,0.003085,0.0247260064156,0,0,42.4,14.3,13144,150.96,1.6,3.39,3.59,5.73,-5.73,1.47,-1.47,-0.27,0.27,-24.73,24.73,85.71,49,null,null,0,0,1.97,null,0.29,0.3,null,null,0.242573,0.1959615,0.25,0.25,6.87957E-4,1.915726E-3,0.477031,0.3359686,67.61684,40.41812,81.30593,52.96167,61.12032,42.33449,54.35863,52.61324,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,18.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,81.8,0,0,0,0,0,0,0,0,0,0,0,0,0,86.97,0,0,0,0,0,0,0,0,52.48,0,0,0,0,0,0,0,11.11,25.19,0,3.86,15.38,20.13,9.09,21.25,0,0,15.38,33.11,19.4,19.7,248.213164598,0,7.53,0,0,0,0,0,0,0,0,0,82.186,0,0,0,0,0.5]
["180200031103","Montgomery Creek","18020003","Lower Pit","180200","Upper Sacramento",93897900,96.9,3.1,19.25,9.68,24.73,"180200031104",0,1,0,93.90404327,7956682,813.6049805,71.23,0,205.071075123,0.16806542767,"09","CA","CA",{"$nulls":3},1,"CA","Shasta County-CA","Shasta County-CA","4,78","4",0.533823892679176,1,0,3433.8100586,1272.75,6529.5097656,10.2381001,19.09,23.5,1664.99,652.87,1198.28,467,92.77,293.89,75.07,0.16,74.81,0.1,6.81,0.01,6.78,0.01,13.84,0.04,13.78,0.03,45.17,4,6.22,95.0250404349436,0.25,0.25,0.25,0,0,0,0.11,0.11,0.11,0.14,0.14,0.14,77.0104895104895,95.28,8.98,18.32,-1.01,0,-0.14,20.07,2.04,4.34,2.19,0.16,0.33,0.08,0.08,0.08,0,0,0,0,0,0,97.58,9.25,18.76,23.98,-0.03,-0.01,-0.01,92.26,97.58,9.25,18.76,23.98,-0.03,-0.01,-0.01,92.26,94.01,100,94.01,50,45.211873748,6.9660001,0.67,0.69,32.45,23.14,1,99.9482384,null,0,4.54,4.82,0,0,0,0,0,0,0,0,0,17,0,0,8.09544499265,0.0755671858788,68.8662044993343,59.4666666667,0.9046855,0.788115,0.860454,0.8274116,0.9288639,0.8552417,0.9597215,0.8800038,0.7743882,0.7177117,null,0.660206,1,null,67.00344,45.92391,60.52813,43.75,91.66475,50.27174,62.98507,69.02174,25.74212,32.83379,null,51.22302,100,null,0.5,2.34,0.35,0.41,0.03,0,0.01,1.88,0.1,0.07,0.33,1.83,0.07,0.03,0.05,0.21,0.02,0.02,0.06,0.31,0,0.28,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0499999999546,0.00863334164023,0.00670941522653861,0,7.32,0.00287546366851655,0.00287546366851655,null,2.89310344828,0.00383395155802206,2.84157894737,2.34,0.35,0.41,0.03,0,0.01,1.88,2.34,0.35,0.41,0.03,0,0.01,1.88,0.04,159.91,1.7,0,0,0,0,12.69,0.14,139.95,1.49,7.27,0.08,0,0,25.55,1.5,0,0,0,0,3.19,0.19,22.36,1.31,0,0,0,0,80,0.852,67,6,7,0,0,0,0,0,0,80,0,1913,0.566,2.64,1.04,3.35,2.18,5.99,3.22,5.99,3.22,0,0,0,0,0,0,0,0,0,0,0,0,0.00209908839315,0.0608735643327,0.0013075965109,0.0347991828975,0.0210269198379,4.3305236805,0.99824607917,1.49974102765,2.49798783738,1.12980815726,0.70272771213,1.83253586939,0.83657363072,0.200328552243,1.03690207831,0.0113831009490081,232,1,233,2,11,29,52,1,0,414,4.54,64,4.47,15,1.20356715215455,78,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.069841,1.72500000021E-3,0,0,276.1,83.8,88114.7,813.11,44.92,3.15,3.34,3.43,-3.43,-3.06,3.06,0.6,-0.6,-6.38,6.38,88.27,36,null,null,0,0,0.02,0,0.33,0.31,40.38,2.77,0.2235005,0.2768299,0.2498769,0.2617961,0.00124429,0.05212973,0.4193805,0.516564,35.8209,75,32.76693,88.45109,43.78875,60.05435,58.18599,86.41304,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13.73,0,0,0,0,0,0,0,0,8.31,0,0,0,0,0,2685,0,55.03,56.68,20.53,26.25,30.82,34.23,13.2,14.44,0.55,0.88,25.86,25.96,18.3,18.3,1163.32974935,0,0,0,0,0,0,0,0,0,0,0,25.055,0,0,0,0,0.5]
["180201210408","Mosquito Creek-North Fork Feather River","18020121","North Fork Feather","180201","Lower Sacramento",82298700,97.38,2.62,15.96,3.69,16.73,"180201210603",18,19,1562.872293,1645.164035,2773116,9062.4697266,55.18,0.13,425.899745536,0.163241441406,"09","CA","CA",{"$nulls":3},1,"CA","Plumas County-CA","Plumas County-CA","5","5",0,0,0,4227.1298828,2276.6799316,6337.0600586,24.6646004,17.73,22.23,1120.71,429.7,784.62,336.92,104.27,347.57,32.27,0.01,32.25,0.02,1.84,0,1.84,0,6.67,0,6.67,0,-53.09,-1.39,-6.98,64.2819389468986,0.02,0.02,0.02,0,0,0,0,0,0,0.02,0.02,0.02,26.9096464426015,97.61,3.42,14.9,5.93,0.02,0.42,65.32,1.57,8.22,0.99,0.03,0.14,0.14,0.14,0.14,0,0,0,0,0,0,98.6,3.44,15.04,15.81,0,-0.01,-0.01,94.89,98.6,3.44,15.04,15.81,0,-0.01,-0.01,94.89,82.97,65.49,82.16,28,30.4395962512,8.4444199,0.69,0.66,0,0.4,0,64.6982244,null,0,4.71,4.9,0,0,0,0,0,0,3,0,3,15,0,0,4.71833499459,0,61.2939005262394,42.5333333333,0.7223358,0.5707826,0.8414394,0.8013669,0.7833696,0.7332755,0.8291036,0.695853,0.8577664,0.6777778,null,0.3497559,0.3,0.1666667,17.52009,6.565657,37.03789,21.71717,45.23536,12.12121,17.91045,11.95286,44.99072,45.79125,null,16.5725,10.56257,3.030303,0.5,1.26,0.11,0.78,0,0,0,0.89,0.01,0.05,0.15,1.05,0,0.01,0.02,0.08,0.01,0.04,0.09,0.64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0328400023282,0,0,null,0,0,null,null,0,null,1.26,0.11,0.78,0,0,0,0.89,1.26,0.11,0.78,0,0,0,0.89,0.05,124.35,1.51,0,0,0,0,0.14,0,124.15,1.51,0.06,0,0,0,41.11,3.16,0,0,0,0,0.14,0.01,40.97,3.15,0,0,0,0,107,1.3001,56,2,0,0,49,0,0,0,0,58,49,0,0.246,1.26,0.36,16.57,8.21,17.84,8.57,17.03,7.92,34.51,22.12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.59450772673,0.448716688125,1.14798971434,1.59670640247,0.525042098599,0.472759225661,0.99780132426,0.42085039793,0.154338957094,0.575189353998,0.0014313236854297,28,0,28,0,1,1,2,0,0,8,0.1,7,0.64,88,0.894524220828633,34,0,0,0,0,0,0,0,0,1,0.0181225081551287,2477,0.00290218512648855,0.145961699748447,0,0,0,0.000926,0,0,0,93.5,40.3,170853.8,489.41,24.03,3.2,3.38,4.79,-4.79,-1.19,1.19,1.08,-1.08,-10.36,10.36,89.42,36,null,null,0,0,0.07,0,0.31,0.34,86.24,0,0.3358312,0.3464034,0.25,0.25,1.641294e-05,2.137443E-4,0.7574773,0.7889963,70.70034,67.84512,50.05741,58.08081,78.6682,77.10438,35.24684,47.47475,1,4,4,35.305,100,0,0,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,99.87,0,0,0,0,0,0,0,0,97.6,0,0,0,0,0,125,1,53.85,50.51,20,16.95,38.46,37.67,0,0.98,0,0,23.08,67.47,23,23,1814.71951485,0,0,0,0,0,0,0,0,0,0,0,35.305,0,0,0,0,0.5]
["180201280202","Five Lakes Creek","18020128","North Fork American","180201","Lower Sacramento",75061800,97.01,2.99,18.82,5.68,20.56,"180201280203",0,1,0,75.06074265,14992663,296.8869934,55.46,0.06,208.981054262,0.0522163721466,"09","CA","CA",{"$nulls":3},1,"CA","Placer County-CA","Placer County-CA","5","5",0,0,0,7049.5400391,4599.0898438,8871.2197266,18.0587997,12.7,16.4,1734.68,664.05,1339.08,322.25,882.62,91.77,75.93,0.32,75.54,0.08,4.85,0.03,4.82,0,16.22,0.07,16.13,0.02,0.23,0,0.05,95.5378231726779,0.23,0.23,0.23,0.02,0.02,0.02,0.03,0.03,0.03,0.2,0.2,0.2,67.8158027176648,99.7,5.59,18.7,0,0,0,23.56,0.53,2.28,0.06,0,0.01,0.06,0.06,0.06,0,0,0,0.13,0,0.02,99.92,5.62,18.76,20.5,-0.01,-0.01,-0.01,95.82,99.79,5.62,18.74,20.48,0,0,0,95.69,99.36,100,99.38,46,38.1503920769,8.3349705,0.79,0.78,7.98,36.4,1,99.9880105,null,0,5,5,0,0,0,0,0,0,0,0,0,16,0,0,3.11729799634,0,84.0071136645434,85.1,0.9573951,0.9580935,0.8546718,0.8489977,0.9378476,0.9373269,0.9944561,0.9866791,1,1,null,0.9755572,1,1,96.67049,99.6633,53.61653,56.06061,93.31803,96.12795,90.99885,82.82828,100,100,null,99.2467,100,100,0.5,0.02,0,0,0,0,0,0,0,0,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.02,0,0,0,0,0,0,0.15,0,0.02,-0.01,-0.01,-0.01,0.01,0,7.61,0.1,0,0,0,0,0,0,2.02,0.03,5.59,0.07,0,0,2.73,0.21,0,0,0,0,0,0,0,0,2.73,0.21,0,0,3,0.04,3,0,0,0,0,0,0,0,0,3,0,0,0.009,0.04,0.01,0.58,0.52,0.62,0.54,0.64,0.55,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.27226874337,0.484761354465,1.45900368488,1.94376503934,0.654970775849,0.673532928177,1.32850370403,0.501099625789,0.209043976559,0.710143635285,0.00022708468974686,3,0,3,0,2,1,3,0,0,1,0.01,0,0,0,0.957690385109086,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9e-05,0,0,0,172,13.5,48480.7,687,39.19,3.35,3.51,5.19,-5.19,0.35,-0.35,4.89,-4.89,50.04,-50.04,43.03,144,null,null,0,0,0.01,0.5,0.21,0.22,2.37,34.18,0.1563091,0.1542497,0.0469344,0.05191307,1.59521e-06,2.077429e-05,0.4219914,0.4108152,25.90126,25.08418,10.37887,17.67677,44.04133,34.34343,23.76579,35.18519,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,87.07,0,0,0,0,0,87.07,99.5,0,0,0,0,0,0,0,0,53.46,0,16.34,0,11.15,0,7.02,0,2.78,0,28.3,16.1,16.5,4719.30055141,0,0,0,0,0,0,0,0,0,0,0,33.442,0,0,0,0,0.5]
["180201550401","Inks Creek","18020155","Paynes Creek-Sacramento River","180201","Lower Sacramento",72349200,97.51,2.49,14.52,21.69,30.8,"180201550402",0,1,0,72.34502734,2765188,255.4570007,43.72,0.06,159.198664654,0.0615935918375,"09","CA","CA",{"$nulls":3},1,"CA","Tehama County-CA","Tehama County-CA","6","6",0,0,0,713.65802,311.9060059,2367.7199707,4.1663599,23.94,28.63,775.61,294.81,319.81,113.25,0,548.23,4.69,0.02,4.66,0.01,1.03,0,1.03,0,0.02,0,0.02,0,0.38,0.06,0,54.9504528805474,0.45,0.45,0.45,0,0,0,0.17,0.17,0.17,0.28,0.28,0.28,11.2060859902556,32.61,6.23,4.67,7.79,0.86,0.17,27.64,4.91,4.36,66.51,15.01,9.58,0.01,0.01,0.01,0,0,0,0,0,0,99.29,21.41,14.42,30.48,0,0.01,0,95.71,99.29,21.41,14.42,30.48,0,0.01,0,95.71,98.34,100,98.39,0,5.55061700751,3.6203699,0.64,0.64,0.03,12.13,1,99.9825887,null,0,5,4.96,0,0,0,4,1,3,3,0,3,17,1,1,3.54209600541,0.0801612213254,null,null,0.9163024,0.9302916,0.8845077,0.9419468,0.7520495,0.7511905,0.9449547,0.9583204,1,1,null,null,1,1,75.13203,93.48291,79.74742,92.62821,36.05052,57.58547,52.26177,73.39744,100,100,null,null,100,100,0.5,0.68,0.26,0.08,0,0,0,0.48,0,0.06,0.08,0.54,0,0.02,0.03,0.21,0,0.02,0.01,0.05,5.31,0,0.01,0,0.01,0,0,0,0.01,0,0,0,0.01,0,0.01,0.380000000581,0.38947302103,0.00124396676120814,0,2.62380952381,0.0136836343732895,0.00124396676120814,3.42692307692,1.66875,0,1.596,0.69,0.26,0.09,0,0,0,0.48,0.69,0.26,0.09,0,0,0,0.48,0.02,110.82,1.53,0,0,0,0,0,0,110.82,1.53,0,0,0,0,21.84,2.07,0,0,0,0,0,0,21.84,2.07,0,0,0,0,64,0.8846,29,35,0,0,0,0,0,0,0,64,0,0,0.094,0.35,0.18,1.26,0.73,1.61,0.91,1.66,0.94,0,0,0,0,0,0,0,0,0,0,0,0,0.0155869033188,0.158095732331,0.00529356829136,0.0116041157737,-0.0190749304017,4.14885771016,0.805494525991,1.40469490689,2.21018943288,1.01204684179,0.92662201292,1.93866885471,0.650615346165,0.138576297453,0.78919222105,0.0775240911187587,1122,115,1237,32,125,83,252,4,4,1,0.01,0,0,0,0.700153484250224,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.8e-05,0,0,0,178.7,16.6,8350.9,1089.8,70.63,3.08,3.25,3.71,-3.71,-2.93,2.93,4.42,-4.42,0.86,-0.86,0,21,null,null,0,0,1.24,1.8,0.36,0.36,6.35,70.96,0.4070131,0.3975386,0.2468964,0.2466796,1.382515e-06,1.724401E-6,0.9741414,0.9459344,91.11366,81.94444,29.25373,8.867521,97.97933,93.48291,23.32951,4.380342,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,71.13,0,0,0,0,0,62.11,0,62.11,9.06,0,0,0,0,0,0,0,33.33,44.92,0,8.56,33.33,15.94,0,17.74,0,0,33.33,33.95,22,22,1396.23079491,0,60.48,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["180300030503","Lower Tejon Creek","18030003","Middle Kern-Upper Tehachapi-Grapevine","180300","Tulare-Buena Vista Lakes",116741700,95.49,4.51,25.14,9.19,27.86,"180300031000",3,4,270.7612144,387.5053904,17174076,1793.9399414,133.88,0.16,176.509128662,0.177335814555,"09","CA","CA",{"$nulls":3},1,"CA","Kern County-CA","Kern County-CA","5,7,6","5",0,0,0,3100.4199219,518.9569702,7752.6298828,18.3155003,21.57,25.83,360.92,138.98,97.65,42.84,3.01,697.58,24.1,5.21,17.44,1.45,1.4,0.14,1.22,0.04,6.45,0.57,5.67,0.2,0.62,0.01,0.07,95.8121461422868,0.55,0.55,0.55,-0.01,-0.01,-0.01,0.28,0.28,0.28,0.27,0.27,0.27,33.876629889669,57.24,3.1,13.51,-0.02,-0.05,-0.18,32.87,1.43,6.8,40.62,5.21,10.63,0.11,0.11,0.11,0,0,0,0,0,0,98.14,8.59,24.42,26.9,0.02,0,0.02,88.94,98.14,8.59,24.42,26.9,0.02,0,0.02,88.94,96.88,100,96.92,0,13.7194961184,11.2031002,0.71,0.65,14.49,26.06,0,84.6769433,null,0,4.9,4.94,0,0,0,1,0,1,3,0,3,24,0,0,3.05936899686,0.23285253346,null,null,0.9132335,0.8466257,0.8703691,0.8925437,0.8380663,0.806636,0.9067781,0.6450598,0.9509539,0.8888889,null,null,1,1,72.74397,63.29966,70.08037,87.20539,64.95982,28.28283,33.38691,7.912458,73.84045,72.39057,null,null,100,100,0.5,1.12,0.19,0.37,0,0,0,0.83,0,0,0.03,1.09,0,0,0.01,0.18,0,0,0.02,0.35,0,0,0.63,0.3,0.25,-0.04,-0.01,-0.03,0.36,0.63,0.3,0.25,0,0,0,0,0.723854780197,0.0593618218682784,0.027753579055299,1.77861013986,0.314540562626722,0.0231279825460825,1.84986622074,3.19228070175,0.0362338393221959,2.65937777778,1.75,0.49,0.62,-0.03,-0.02,-0.03,1.28,1.75,0.49,0.62,-0.03,-0.02,-0.03,1.28,0.25,129.95,1.11,0,0,0,0,0,0,111.45,0.95,18.5,0.16,0,0,52.3,1.77,0,0,0,0,0,0,46.47,1.57,5.83,0.2,0,0,159,1.362,107,6,29,17,0,0,0,0,0,142,17,0,0.068,0.26,0.07,2.82,0.91,3.08,0.97,3.12,0.99,0,0,0,0,0,0,0,0,0,0,0,0,0.025872502476,0.970218896866,0.00756430157655,0.0533035043121,-0.0453989532963,8.30065420572,0.499066473699,3.73480310672,4.23386924135,1.08757620684,2.97920917845,4.0667853853,0.486200214031,0.293763189318,0.779963342158,0.114922570489759,1710,1058,2768,17,926,28,5,0,1,8,0.07,3,0.12,38,3.10085473157413,6,0,0,0,0,0,0,0,0,1,0.00746937556020317,860,0.183933600996646,0.00813816985523057,0,0,0,1.403E-3,0.460111999427,0,0,101.5,8.9,27930.9,2885.22,50.89,2.94,2.95,4.08,-4.08,-3.06,3.06,0.31,-0.31,-18.29,18.29,88.37,18,null,null,0,0,1.84,2.7,0.29,0.35,9.87,31.47,0.319457,0.3649009,0.2510174,0.25147,1.72905E-3,0.1171599,0.7056244,0.7260729,64.68427,73.56902,53.98393,62.28956,72.4225,69.36027,60,91.24579,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,34.18,0,0,0,0,0,0,0,0,3.98,0,0,0.01,0,0,0,0,33.33,39.38,0,5.84,33.33,50.5,0,10.26,0,0.47,33.33,30.05,19.3,19.3,15423.0707664,0,30.2,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["180300071101","Antelope Creek","18030007","Upper Kaweah","180300","Tulare-Buena Vista Lakes",56728800,96.7,3.3,20.98,24.01,36.26,"180300071102",0,1,0,56.72372296,17153404,267.8250122,51.15,0.14,60.2398320252,0.248343837524,"09","CA","CA",{"$nulls":3},1,"CA","Tulare County-CA","Tulare County-CA","6,7","6",0,0,0,881.8449707,425.651001,2501.5400391,9.65166,25.09,29.61,451.99,171.47,110.87,45.34,0,743.77,0.03,0,0.03,0,0,0,0,0,0,0,0,0,0,0,0,47.3459980444196,0.07,0.07,0.07,0,0,0,0.07,0.07,0.07,0,0,0,15.6102051551815,7.93,1.23,1.71,-0.08,-0.02,0,7.9,1.23,1.71,71.55,10.95,14.71,0.07,0.07,0.07,0,0,0,0.06,0.02,0.03,79.61,12.27,16.52,23.16,-1.46,-0.65,-0.36,74.72,79.55,12.24,16.49,23.11,-1.48,-0.67,-0.37,74.71,93.6,84.26,93.13,0,6.7258218048,9.59904,0.69,0.65,5.01,1.55,1,88.6740074,null,0,4.47,4.86,0,0,0,0,0,0,2,2,0,20,0,0,1.57678799802,4.4154715538,22.9,22.9,0.825071,0.7143821,0.8045136,0.8463246,0.7189816,0.7257432,0.861804,0.8620315,0.7400559,0.75,null,0.1021935,1,1,41.14811,27.77778,23.58209,33.01282,28.33525,48.39744,22.45695,30.34188,18.4833,17.9377,null,7.894737,100,100,0.5,6.96,4.22,0.94,0.24,0.13,0,6.44,0.29,2.21,2.1,2.37,0.17,1.53,1.36,1.16,0.01,0.11,0.27,0.55,2.71,1.36,13.36,7.45,3.45,1.17,0.48,0.32,9.2,13.12,7.29,3.39,0.23,0.16,0.06,0.00999999998744,4.83722543716,0.509265135169438,0.280809747429877,1.14913353995,1.90062190633329,0.180860515293819,0.822687564234,3.14653087206,0.328404619875619,1.40406130268,20.32,11.67,4.39,1.42,0.62,0.32,19.16,20.38,11.69,4.42,1.44,0.63,0.33,19.21,3.51,126.66,2.23,129.28,2.28,0,0,10.18,0.18,109.03,1.92,7.45,0.13,2.62,0.05,27.98,2.45,29.42,2.57,0,0,2.27,0.2,24.07,2.1,1.64,0.14,1.44,0.13,94,1.657,31,33,30,0,0,0,0,0,0,94,0,2262,2.485,5.75,4.91,1.12,-0.03,6.87,4.87,6.4,4.4,15.74,13.89,0,0,0,0,0,0,0,0,0,0,6.50055503845,18.0298423767,2.34257139521,0.823927748175,0.316811135571,8.98262604181,0.514501306089,2.77238303626,3.28688408776,1.05263076378,4.64311192647,5.69574269025,0.559456533931,0.14614300112,0.705599363671,1.11948704849444,7226,5927,13153,0,1132,55,231,0,3,7300,132.91,327,33.94,4,25.8012128293647,389,3,0,0,0,0,1,0,0,0,0,0,0,0.0298311004225747,0,0,0,0.915722,2.26112399482,0.000804999998155,0,215.7,44.5,29528,3713.45,68.16,3.24,3.32,4.84,-4.84,-0.34,0.34,13.08,-13.08,2.55,-2.55,0,17,null,null,0,0,1.25,4.1,0.31,0.35,65.3,26.32,0.4242374,0.4312871,0.3644549,0.3837852,0.02524752,0.05544285,0.8830096,0.8546333,94.99426,93.16239,86.22273,84.29487,91.36625,81.94444,76.90011,74.89316,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.29,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,49.38,72.91,6.53,12.52,89.65,100,41.34,52.45,22.85,33.88,20.88,29.59,18.7,19.2,2290.67585373,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["180300121702","Cottonwood Creek","18030012","Tulare Lake Bed","180300","Tulare-Buena Vista Lakes",50821200,97.77,2.23,13.38,5.86,16.07,"180300121703",0,1,0,50.83121343,17160176,288.8800049,32.5,0,71.166448552,0,"09","CA","CA",{"$nulls":3},1,"CA","Kern County-CA, Kings County-CA, San Luis Obispo County-CA","Kern County-CA","6","6",0,0,0,1834.7199707,715.9030151,3110.6298828,15.9854002,24.32,28.3,269.06,96.3,28.27,10.14,0,752.97,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.06303972366149,0.01,0.01,0.01,0,0,0,0.01,0.01,0.01,0,0,0,null,7.58,0.6,1.12,0.3,0.02,0,7.58,0.6,1.12,87.44,4.36,10.32,0,0,0,0,0,0,0,0,0,95.03,4.97,11.46,13.83,0,-0.01,0,88.89,95.03,4.97,11.46,13.83,0,-0.01,0,88.89,84.45,100,84.45,0,0.00474605086066,7.2530098,0.66,0.7,0,0.65,1,99.9734395,0,0.233763353464,5,4.84,0,0,0,0,0,0,0,0,0,19,0,0,6.67436500912,0,null,null,0.9098846,0.9175196,0.8284103,0.8494564,0.7786432,0.7819979,0.9423696,0.9561437,1,1,null,null,1,1,70.4248,90.17094,28.08266,34.50855,43.92652,66.88034,50.53961,71.47436,100,100,null,null,100,100,0.5,4.96,0.89,1.91,0,0,0,3.96,0,0.11,0.31,4.54,0,0.03,0.07,0.79,0,0.03,0.15,1.73,0,0,0.01,0.01,0.01,0.01,0.01,0.01,0,0.01,0.01,0.01,0,0,0,0,0.0194800589234,0.0655238365091733,0.0460437770064461,5.534,0.0460437770064461,0.0212509740029751,3.114,8.09666666667,0.0442728625061982,1.80088888889,4.97,0.89,1.92,0,0,0.01,3.96,4.97,0.89,1.92,0,0,0.01,3.96,0.04,46.38,0.91,0,0,0,0,10.71,0.21,15.78,0.31,19.89,0.39,0,0,14.67,2.16,0,0,0,0,4.76,0.7,6.05,0.89,3.86,0.57,0,0,46,0.9051,14,32,0,0,0,0,0,0,0,46,0,4059,0.285,1.07,0.54,14.48,8.47,15.55,9.01,15.55,9.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.48607446456,0.329716609015,2.17555542946,2.50527265012,0.345613321195,1.63518849324,1.98080242609,0.335169481179,0.231476822647,0.566646303826,0.417030897405981,2684,1750,4434,8,494,23,8,2911,1,0,0,0,0,0,0.300392253234804,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.2e-05,0,0,0,81.4,3.7,7988.8,675.82,11.44,2.83,2.88,5.9,-5.9,2.06,-2.06,26.55,-26.55,19.73,-19.73,0,15,null,null,0,0,0.05,0.9,0.34,0.3,9.54,89.81,0.3516645,0.3345767,0.2515261,0.2517838,5.671857e-07,7.074465e-07,0.8034668,0.7519454,76.02755,56.83761,55.10907,34.18803,83.32951,66.7735,20.61998,3.418803,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.85,0,0,0,0,0,0,0,0,2.85,0,0,0,0,0,0,0,0,58.25,0,13.92,50,92.58,0,69.56,0,52.67,50,28.85,16.9,23.2,2033.83267689,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["180400011602","Upper Mariposa Slough","18040001","Middle San Joaquin-Lower Chowchilla","180400","San Joaquin",68142600,97.38,2.62,9.35,99.84,99.94,"180400012101",25,26,2445.434638,2513.580461,19772251,12973.5996094,43.11,0,132.580334993,0.123175420299,"09","CA","CA",{"$nulls":3},1,"CA","Madera County-CA, Merced County-CA","Merced County-CA","7","7",0,0,0,139.3300018,102.1309967,206.7230072,0.0898068,24.66,29.36,302.74,114.31,35.56,12.82,0,780.58,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0293883034552248,1.67,1.67,1.67,-0.01,-0.01,-0.01,1.66,1.66,1.66,0.01,0.01,0.01,0.016803898504453,0.01,0.01,0.01,0,0,0,0,0,0,2.61,2.6,1.72,0.11,0.11,0.11,0,0,0,0.15,0.15,0.04,4.43,4.41,3.43,4.43,-6.29,-6.3,-0.73,1.88,4.28,4.26,3.39,4.28,-6.29,-6.3,-0.73,1.87,84.25,100,84.25,0,1.37422405368,0.0683042,0.65,0.65,12.56,33.46,0,40.6661901,null,0,4.36,4.7,0,0,0,1,1,0,1,1,0,11,0,0,1.03372700274,28.0748081207,22.5362515960994,null,0.701692,0.6707209,0.6165233,0.6210542,0.5457657,0.5987931,0.6600656,0.8104025,0.6861053,0.6753247,null,0.3187513,1,1,14.53502,53.38346,9.02411,49.62406,5.602755,36.34085,4.615385,48.87218,13.2885,31.98992,null,40.86687,100,100,0.5,5.1,5.08,0.25,0.25,0.25,0,3.75,0.08,0.34,1.12,3.56,0.08,0.34,1.12,3.54,0,0.01,0.05,0.19,0,0.09,90.36,90.24,5.56,6.04,6.04,0.72,60.21,89.31,89.19,5,1.05,1.05,0.55,32.2100000854,81.3228912354,0,0,0.0973387507343,0,0,0.120343456255,0.0858056252882,0,0.0870237370663,95.46,95.32,5.81,6.28,6.28,0.72,93.55,95.61,95.46,5.84,6.28,6.27,0.71,93.69,5.01,113.55,1.67,0,0,0,0,9.19,0.13,101.79,1.49,2.57,0.04,0,0,4.46,0.93,0,0,0,0,0.08,0.02,4.38,0.91,0,0,0,0,26,0.3816,1,2,0,17,6,0,0,0,0,3,23,2115,0.85,3.21,1.95,12.54,9.41,15.75,11.36,15.75,11.36,0,0,0,0,0,0,0,0,0,0,0,0,43.0272331238,117.605117798,21.1225380724,8.67909572392,10.7669842201,10.9621333419,0.400691849071,3.24519983344,3.64589128584,0.609035459461,6.70720619988,7.31624205602,0.334482085545,0.296481663692,0.630963768391,0.415889840692548,2778,2767,5545,9,215,23,39395,14723,0,377,5.61,4,1.05,1,1.68188658745006,140,2,0,0,0,0,0,0,0,0,0,0,0,0.507157043757224,1.7,14.1,14.9,0.054839,39.2220511521,3.74000001451E-4,0,747.3,91.1,34144.3,211.37,0.03,3.07,3.16,5.11,-5.11,0.02,-0.02,23.13,-23.13,14.85,-14.85,0,16,null,null,0,0,54.72,53.1,0.35,0.35,11.21,42.76,0.2371671,0.200314,0.3170086,0.2930239,0.1465425,0.05090744,0.2479502,0.2570106,39.26521,37.34336,79.58668,44.11028,31.71068,55.88972,89.87371,36.09023,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,42.34,48.4,8.62,12.75,71.76,77.21,34.4,37.99,21.82,24.34,20.98,23.89,18.9,20.8,5178.89024448,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["180400100305","Griswold Creek","18040010","Upper Stanislaus","180400","San Joaquin",133794900,96.29,3.71,23.48,5.41,24.52,"180400100306",0,1,0,133.791812,343339,546.039978,137.09,0,701.427341557,0,"09","CA","CA",{"$nulls":3},1,"CA","Tuolumne County-CA","Tuolumne County-CA","5","5",0,0,0,5141.6000977,1586.3699951,7136.4902344,14.4296999,17.36,21.74,1246.07,471.59,859.98,365.52,232.56,319.46,77.16,0,77.13,0.03,4.92,0,4.92,0,19.88,0,19.87,0.01,-1.07,-0.06,-0.29,88.434263059441,0,0,0,0,0,0,0,0,0,0,0,0,70.1041095890411,97.5,5.36,22.93,9.33,0.2,1.39,20.34,0.44,3.05,2.47,0.05,0.54,0,0,0,0,0,0,0,0,0,99.97,5.41,23.47,24.51,0,0,0,95.31,99.97,5.41,23.47,24.51,0,0,0,95.31,90.56,100,90.56,57,49.8483664176,6.4345398,0.75,0.62,45.74,30.07,1,87.7304773,null,0,4.62,4.81,1,1,0,1,1,0,0,0,0,18,0,0,5.85306700194,0,80.993823837793,75.5666666667,0.9003592,0.8406203,0.869407,0.8965893,0.8831794,0.8635956,0.9355847,0.8452238,0.813625,0.5777778,null,0.8605357,1,1,64.3628,60.60606,69.34558,88.55219,79.03559,55.05051,46.31458,39.73064,33.74304,30.80808,null,83.23917,100,100,0.5,0.03,0,0.01,0,0,0,0,0,0,0,0.03,0,0,0,0,0,0,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.03,0,0.01,0,0,0,0,0.03,0,0.01,0,0,0,0,0,227.29,1.7,0,0,0,0,0,0,227.29,1.7,0,0,0,0,78.93,2.44,0,0,0,0,0,0,78.93,2.44,0,0,0,0,237,1.7714,148,29,58,2,0,0,0,0,0,235,2,0,0.27,1.89,0.4,7.55,2.19,9.44,2.59,9.44,2.59,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.27369763991,0.727234240041,1.62506751813,2.35230178023,1.18121387906,0.740181980613,1.9213961061,0.74332099865,0.206225571623,0.949546592338,0.00076560607239763,23,0,23,0,3,2,3,0,0,0,0,0,0,0,0.839239951614737,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,150.1,14.9,41715.7,1972.66,88.14,3.32,3.46,5.16,-5.16,0.52,-0.52,3.62,-3.62,-0.78,0.78,70.02,44,null,null,0,0,0,0,0.25,0.38,8.34,14.06,0.3588358,0.3682417,0.25,0.25,0,0,0.8265074,0.8547251,78.0023,74.07407,50.05741,58.08081,85.6946,84.84848,15.24684,21.88552,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0.11,0,0.11,36.1,0,0,0,0,0,0,0,0,22.53,0,7.77,0,21.51,0,3.89,0,0,0,30.82,null,18.6,7418.85916233,0,0,0,0,0,0,0,0,0,0,0,9.367,0,0,0,0,0.5]
["180500020802","San Pablo Bay","18050002","San Pablo Bay","180500","San Francisco Bay",246765600,0.1,99.9,100,99.97,100,"180500021002",1292,1293,119096.1148,119342.882,null,424334,0.48,0.02,1.59621323403,0.0052834879529,"09","CA","CA",{"$nulls":3},1,"CA","Contra Costa County-CA, Marin County-CA, Solano County-CA, Sonoma County-CA","Marin County-CA","6","6",0,0,1,0.0141424,-5.4133201,36.0559998,0.0161969,20.58,23.22,629.38,193.98,219.02,79.01,0,490.23,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0.02,0.02,0.02,0.01,0.01,0.01,0.01,0.01,0.01,0,0,0,null,0,0,0,0,0,0,0,0,0,0,0,0,99.82,99.82,99.82,0,0,0,0,0,0,0.02,0.02,0.02,0.02,0,0,0,0,0.02,0.02,0.02,0.02,0,0.01,0,0,100,100,100,0,3.64353864558E-3,0.311317,0.64,0.66,null,null,0,0,8.69565217391,9.21632602162,null,null,2,2,0,2,2,0,0,0,0,14,1,1,5.85353299745,0,28.7333333333,null,0.894292,0.7525068,0.5792855,0.5829879,0.9995714,0.9995969,0.9983109,0.9982817,{"$nulls":3},0.1816676,1,1,60.91848,36.85897,5.510907,5.555556,99.49483,100,93.84615,99.35897,{"$nulls":3},20.12384,100,100,0.5,0.16,0.13,0.16,0,0,0,0,0.06,0.05,0.03,0.01,0.06,0.04,0.03,0,0.06,0.05,0.03,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.16,0.13,0.16,0,0,0,0,0.16,0.13,0.16,0,0,0,0,0.12,3.66,0.01,5.01,0.02,2.35,0.01,0,0,1.31,0.01,0,0,1.35,0.01,3.66,0.01,5.01,0.02,2.35,0.01,0,0,1.31,0.01,0,0,1.35,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,63558,0.107,4.47,4.35,-4.47,-4.35,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.63644027324,0.585086387211,0.919750437377,1.50483679527,0.938178391811,2.19342474554,3.13160344865,1.05232912096,0.864095817487,1.91642487237,0,0,0,0,0,0,0,0,0,0,45,201.61,0,0,0,50.1040127581966,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.004704,0,0,0,{"$nulls":3},229.59,0.01,2.69,2.78,5.31,-5.31,-0.51,0.51,10.57,-10.57,5.74,-5.74,0,21,0,0,0,0,0.07,0.1,0.36,0.34,null,null,0.1290424,0.08664429,0.2564954,0.2576025,8.33763e-05,1.039946E-4,0.1305483,0.002226409,23.16877,1.068376,60.78071,46.36752,23.83467,0.8547009,44.1791,22.75641,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,27.24,0,0,0,0,7.62,15.48,0,23.1,0,0,0,0,0,0,0,0,20,65.29,0,13.41,59.26,97.09,5.88,56.66,0,24.46,14.81,51.2,19,21.5,2106.53801727,0,0.71,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["180600040301","Long Canyon-San Juan Creek","18060004","Estrella","180600","Central California Coastal",145802700,96.32,3.68,18.22,10.11,23.08,"180600040303",7,8,664.4909532,810.3017783,17648265,1587.3900146,124.27,0,221.182177777,0.0266529623705,"09","CA","CA",{"$nulls":3},1,"CA","San Luis Obispo County-CA","San Luis Obispo County-CA","6","6",0,0,0,1761.2199707,1211.2399902,2576.4099121,10.2196999,24.54,28.35,304.55,114.24,38.85,15.04,0,722.85,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.925364823034214,1.13,1.13,1.13,0,0,0,1.12,1.12,1.12,0.01,0.01,0.01,0.0772797527047913,5.5,0.28,1.16,0.45,0.04,0,5.5,0.28,1.15,83.03,5.85,12.94,0.03,0.03,0.03,0,0,0,0.28,0.13,0.12,89.94,7.39,15.35,18.53,-3.09,-0.49,-0.31,77.92,89.66,7.26,15.23,18.35,-3.09,-0.49,-0.3,77.67,91.64,100,91.64,0,0.0398325956927,6.0967898,0.64,0.65,7.41,21.59,0,76.9800516,0,0.088903251835,4.94,4.89,0,0,0,0,0,0,4,2,2,23,0,0,0.937327504599,1.03420305252,null,null,0.855074,0.8631996,0.8267827,0.8554998,0.591794,0.5874047,0.8862211,0.9013954,0.9705724,0.9716981,null,null,1,1,46.49828,69.55128,27.62342,36.53846,8.679679,11.6453,27.71527,43.37607,79.56865,81.74006,null,null,100,100,0.5,4.64,1.26,1.92,0,0,0,4.04,0,0.02,0.04,4.58,0,0.01,0.02,1.23,0,0,0.02,1.89,0,0,5.39,1.43,0.93,3.08,0.48,0.3,2.51,5.13,1.35,0.88,0.26,0.08,0.05,1.00998262142,2.5508377552,3.14253439751116,1.34565409282544,6.30939081333,4.05486318154602,2.61908730085245,3.11502055197,4.75154799858,0.523447096658704,1.92379160637,10.03,2.69,2.84,3.08,0.48,0.3,8.88,10.31,2.82,2.96,3.09,0.48,0.29,9.13,0.88,242.04,1.66,0,0,0,0,0.28,0,235.19,1.61,6.57,0.05,0,0,87.58,3.4,0,0,0,0,0,0,86.71,3.36,0.87,0.03,0,0,401,2.7503,240,107,47,7,0,0,0,0,0,394,7,0,0.114,0.39,0.07,7.97,1.51,8.36,1.58,8.36,1.58,0,0,0,0,0,0,0,0,0,0,0,0,0,7.18196582794,0.0352731235583,0.681582460936,-0.270996804968,4.10712486079,0.224246529396,2.14660415035,2.37085043704,0.203798483927,1.53247569712,1.7362741803,0.379797116611,0.2428288359,0.622625947412,0.0528502150710032,1670,7,1677,20,383,181,234,5,8,20,0.14,4,0.19,20,1.02864140796776,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.001922,0.115592552056,0,0,45.6,11.5,9602.7,513.46,10.54,2.76,2.79,6.24,-6.24,2.15,-2.15,26.73,-26.73,16.44,-16.44,0,15,0,0,0,0,4.66,3.7,0.36,0.35,68.05,1.77,0.3599648,0.3390114,0.3572029,0.3515748,4.622033E-4,1.806462E-3,0.7222292,0.663653,78.3008,58.11966,85.32721,78.20513,74.3054,55.34188,53.20321,41.7735,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.13,0,0,0,0,0,0,0,0,0.06,0,0,0,0,0,0,0,38.46,41.7,0,8,23.08,25.87,10,12.56,0,1.83,46.15,45.34,16.9,16.9,5562.69787121,5,4.06,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["180600060701","Upper San Luis Obispo Creek","18060006","Central Coastal","180600","Central California Coastal",63263700,96.9,3.1,19.8,8.94,24.13,"180600060702",0,1,0,63.26378034,8193611,191.9730072,51.55,0.03,126.990338754,0.0993569242778,"09","CA","CA",{"$nulls":3},1,"CA","San Luis Obispo County-CA","San Luis Obispo County-CA","6","6",0,0,0,900.6690063,162.6950073,2733.9199219,15.3704004,22.65,24.93,731.71,234.41,317.1,125.2,0,533.59,16.35,0,11.75,4.59,1.11,0,0.76,0.35,3.52,0,2.47,1.05,7.53,0.24,1.13,37.7390430343587,0.57,0.57,0.57,0,0,0,0.16,0.16,0.16,0.41,0.41,0.41,24.0758072063641,52.88,2.9,9.52,0.63,0.02,0.16,36.12,1.38,5.58,27.71,1.11,4.94,0.05,0.05,0.05,0,0,0,0,0,0,80.75,4.17,14.61,16,-0.66,-0.08,-0.11,74.42,80.75,4.17,14.61,16,-0.65,-0.07,-0.11,74.42,60.57,53.33,60.42,0,9.32957762508,9.4416904,0.65,0.65,0.73,0,1,100,4.0404040404,0.140854721042,4.27,4.17,3,3,0,2,1,1,5,0,5,23,0,0,0.834726000339,0.844522237778,31.7603344704039,25.5666666667,0.6280528,0.5743479,0.6953104,0.7329089,0.6440975,0.6557002,0.8168981,0.8423565,0.6419638,0.6556604,null,0.1901942,0.3419943,0.369267,8.541906,10.47009,14.67279,15.0641,14.74168,24.89316,16.4868,26.49573,10.99258,11.17078,null,21.51703,10.99885,16.98718,0.5,18.07,4.42,4.68,0.34,0.05,0.04,16.32,0.88,7.19,6.05,3.94,0.29,1.77,1.39,0.97,0.24,1.61,1.52,1.31,4.49,5.28,1.13,0.29,0.45,0.32,0.03,0.07,0.49,0.85,0.19,0.38,0.28,0.09,0.07,0.240000000098,0.920537829399,0.470886147980596,0.147952143172151,4.62956751055,1.01290313402472,0.376993441736731,3.99554987212,5.62797619048,0.093892706243865,2.33745454545,19.2,4.71,5.13,0.67,0.07,0.11,17.41,19.2,4.71,5.13,0.66,0.07,0.11,17.42,2.23,258.06,4.08,282.49,4.47,0,0,32.89,0.52,202.91,3.21,22.26,0.35,24.43,0.39,71.29,5.75,73.84,5.96,0,0,15.09,1.22,49.98,4.03,6.22,0.5,2.55,0.21,244,3.8569,116,89,39,0,0,0,0,0,0,244,0,18554,7.741,16.53,14.84,23.05,18.08,39.58,32.92,39.43,32.68,46.67,44.44,0,0,0,0,0,0,0,0,0,0,0,5.86473751068,0.0205333773259,0.391939754488,-0.157754094029,5.27427795746,0.452754717533,2.73245051818,3.18520538382,0.467622161379,1.62145078403,2.08907297406,1.03915810185,0.518640506158,1.55779875612,0.020512670809605,281,1,282,3,65,31,39,1,1,25756,420.26,3568,342.53,14,131.58405098775,1475,1,0,0,0,0,0,0,0,0,0,0,0,0.0377416975715472,0,0,0,2.446818,0.000644000000067,0.0592540000061,0,297.7,15.4,48752,1221.11,33.58,2.53,2.54,6.98,-6.98,1.4,-1.4,12.97,-12.97,7.63,-7.63,0,19,0,0,0,0,2.06,1.7,0.35,0.35,37.88,60.28,0.3172406,0.3008035,0.271321,0.2708352,0.0906205,0.1051169,0.5897802,0.5264583,63.44432,39.95726,68.70264,55.76923,59.08152,35.47009,86.19977,83.86752,2,7,6,41.954,71.6011451714266,1,7.75304803207593,13.2323161790378,2,41.954,71.6011451714266,0,0,0,0,0,0,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,25.97,0.31,0.28,0,0,0,0,0,0.41,6.49,0,38.21,7.79,1,3,47520,1,60.81,98.73,10.5,27.19,31.26,48.46,3.35,12.73,1.36,6.43,7.71,54.42,16.2,19.2,1938.92166519,0,2.3,0,0,0,0,0,0,0,0,0,58.594,0,0,0,0,0.5]
["180701050203","Aliso Canyon Wash","18070105","Los Angeles","180701","Ventura-San Gabriel Coastal",56336400,96.93,3.07,19.2,39.04,51.35,"180701050208",0,1,0,56.32921864,22514878,307.7590027,48.18,0.05,70.6105653604,0.0682352045855,"09","CA","CA",{"$nulls":3},1,"CA","Los Angeles County-CA","Los Angeles County-CA","85","85",0,0,0,1250.1800537,728.9609985,3325.2199707,7.5534301,25.56,28.56,475.01,151.67,139.24,54.9,0,757.87,0.14,0,0.05,0.09,0.04,0,0.01,0.03,0.12,0,0.03,0.08,-0.25,-0.02,-0.08,29.5411089866157,0.08,0.08,0.08,0.01,0.01,0.01,0.05,0.05,0.05,0.03,0.03,0.03,6.689453125,9.9,0.65,2.97,-10.81,-0.61,-3.22,9.72,0.58,2.82,12.15,0.78,3.56,0.03,0.03,0.03,0,0,0,0.12,0.03,0.05,22.21,1.5,6.64,6.87,-3.76,-0.21,-0.35,18.06,22.09,1.48,6.58,6.8,-3.03,-0.18,-0.32,17.99,24.41,12.5,24.04,0,2.85622084478,9.1967602,0.68,0.69,15.1,34.47,1,99.9824257,0,0.0543281680989,2.91,2.26,0,0,0,1,0,1,1,0,1,21,0,0,0.21419399991,0,null,null,0.3628351,0.4862908,0.2902719,0.4965281,0.4311456,0.4549618,0.692758,0.7271358,0,0.3297514,null,null,0.4,0.4230769,0.9873708,22.06573,1.262916,18.30986,0.9873708,12.20657,6.268657,27.23005,1.020408,12.13592,null,null,21.28588,46.00939,0.5,77.76,37.5,12.53,3.76,0.2,0.35,74.03,8.05,36.6,25.99,7.12,5.82,18.99,11.05,1.64,0.91,5.37,4.25,1.99,12.17,8.99,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.18176470588,0,0,null,0.216666666667,0,null,77.76,37.5,12.53,3.76,0.2,0.35,74.03,77.88,37.53,12.59,3.03,0.18,0.32,74.18,6.29,584.64,10.38,591.02,10.49,0,0,13.3,0.24,557.16,9.89,14.18,0.25,6.38,0.11,81.41,7.66,85.36,8.03,0,0,1.84,0.17,74.47,7,5.1,0.48,3.95,0.37,331,5.8754,163,145,23,0,0,0,0,0,0,331,0,39713,40.015,75.12,72.04,0.84,-2.7,75.96,69.34,75.59,69.21,87.5,73.44,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,15.3511700055,0.715136319107,8.5084324612,9.22356878031,1.14994655006,4.97765466079,6.12760123315,0.926478197334,0.679528315595,1.60600652084,2.1338974884189E-3,8,0,8,1,4,21,23,1,1,93240,1707.29,12020,1348.91,13,587.278791548995,1701,28,0,0,0,0,21,21239.5,3,0,0,0,0,0.109766905334458,0,0,0,9.132075,0,0.145332000352,0,214.8,16.9,182265.4,1885.15,15.09,2.78,2.75,5.25,-5.25,1.22,-1.22,14.27,-14.27,4.73,-4.73,0,15,0,0,0,0,1.02,0.3,0.32,0.31,28.2,9.49,0.4198136,0.30651,0.7548114,0.6147819,0.2777502,0.07871721,0.2268792,0.2260308,94.25947,37.0892,98.98967,92.95775,29.85075,15.02347,95.01722,76.52582,1,2,2,40.469,100,0,0,0,1,40.469,100,0,0,0,1,40.469,100,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.02,0,0,0,0,0,0,0,0,0,0,18.39,0.01,0,0,0,3,21.81,72.2,5.49,20.29,62.14,95.93,13.15,52.43,11.2,34.54,23.42,58.54,14.7,20.4,24862.3753586,0,0,0,0,0,0,0,0,0,0,0,40.469,0,0,0,0,0.5]
["180703030204","Keys Creek","18070303","San Luis Rey-Escondido","180703","Laguna-San Diego Coastal",95047200,96.46,3.54,19.65,11.74,25.46,"180703030302",0,1,0,95.04265002,20341649,446.9670105,75.67,0,115.712586061,0.235577844102,"09","CA","CA",{"$nulls":3},1,"CA","San Diego County-CA","San Diego County-CA","85","85",1.31064648249501,1,0,1269.5400391,213.6130066,1989.7700195,8.9998598,25.52,28.05,436.35,143.4,104.56,41.83,0,742.83,0.83,0.01,0.38,0.44,0.16,0,0.06,0.1,0.38,0,0.16,0.22,0.02,0,0.03,49.3821264402125,0.99,0.99,0.99,-0.01,0,-0.01,0.16,0.16,0.16,0.82,0.82,0.82,24.6547573799569,57.25,5.48,11.29,0.38,-0.07,-0.17,55.6,4.5,10.08,15.01,2.74,3.27,0.05,0.05,0.05,0,0,0,0.03,0.01,0,72.46,8.39,14.72,18.8,-0.64,-0.17,-0.27,52.49,72.42,8.38,14.72,18.79,-0.64,-0.17,-0.26,52.48,70.43,100,70.43,0,6.42719301568,6.67767,0.7,0.72,11.24,3.31,1,87.5956383,0,0.0142050302759,4.41,4.63,1,1,0,3,3,0,4,3,1,27,0,0,0.566076999392,8.03427791595,null,null,0.6737018,0.7414474,0.7734255,0.8839156,0.6691444,0.7180916,0.7799404,0.8243375,0.7106283,0.8109062,null,null,0.4353705,0.4699859,12.10103,70.89202,20.36739,71.83099,18.87486,68.5446,12.58324,47.41784,15.12059,68.93204,null,null,21.88289,51.17371,0.5,18.11,2.17,3.38,0.72,0.12,0.1,13.69,0.22,0.84,2.91,14.14,0.04,0.19,0.32,1.62,0.01,0.12,0.46,2.79,7.65,5.1,9.38,1.14,1.5,-0.08,0.06,0.16,4.17,6.38,0.19,0.39,3.01,0.95,1.11,0.209999999774,3.40500092506,6.7911521854405,4.8130823422468,13.5737266922,7.04208014544353,5.95882887660026,8.10626213592,4.93556603774,0.832323308840239,1.39995928339,27.5,3.3,4.88,0.64,0.17,0.26,22.1,27.53,3.31,4.89,0.64,0.17,0.27,22.12,0.52,514.82,5.42,0,0,5.6,0.06,11.24,0.12,380.25,4,117.73,1.24,0,0,103.08,5.52,0,0,0.92,0.05,3.33,0.18,77.9,4.17,20.93,1.12,0,0,394,4.1453,241,59,62,32,0,0,0,0,0,362,32,40196,2.351,9.48,5.07,20.09,9.94,29.57,15.01,29.57,15.01,0,0,0,0,0,0,0,0,0,0,0,0,1.33904623985,183.002990723,1.82504676594,14.1625634422,10.433089839,7.67156753062,0.623063292096,4.69241105866,5.31547435075,0.590158512634,1.76593455316,2.35609317987,1.18202010898,0.477079400999,1.65909915709,0.023725234388754,132,101,233,45,43,127,35791,5,78,9733,106.07,1661,107.87,17,33.0664250294931,246,7,0,0,0,0,0,0,0,2,0.0264305537201004,516,0.269083670759129,0.0551225926034114,0,0,0,0.93453,3.78532799283,1.02299999806E-3,0,281.6,6.2,43697.2,5485.12,88.25,2.77,2.73,2.52,-2.52,-3.33,3.33,12.14,-12.14,-1.49,1.49,0,17,0,0,0,0,2.32,1.7,0.3,0.28,47.76,35.67,0.4323674,0.4320394,0.362446,0.320744,0.03140013,0.06730636,0.903256,0.9080678,95.70608,89.20188,85.92423,36.15023,92.90471,89.67136,78.64524,71.83099,1,3,3,35.317,82.9258927428645,1,35.317,82.926,1,35.317,82.9258927428645,0,0,0,1,35.317,82.9258927428645,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,7.45,0,0,0,0,0,0,0,0,0.17,0,0,0,0,0,0,2,27.77,48.73,5.01,34.25,49.81,69.85,13.65,30.08,0.2,4.61,27.39,65.01,16,18.1,37057.6763916,0,1.66,0,0,0,0,0,0,0,0,0,42.59,0,0,0,0,0.5]
["180800020302","Said Valley Reservoir","18080002","Madeline Plains","180800","North Lahontan",53304300,96.02,3.98,11.28,20.35,24.6,"180800020304",0,1,0,53.31681555,20311493,174.9259949,16.63,0.7,84.6591552434,0.992944322764,"09","CA","CA",{"$nulls":3},1,"CA","Lassen County-CA","Lassen County-CA","9,80","9",0,0,0,5797.6000977,5356.2299805,6850.5400391,6.70186,14.66,19.24,431.82,223.71,162.95,101.62,97.6,243.97,44.47,0,44.46,0.01,3.31,0,3.31,0,1.22,0,1.22,0,0.52,0.04,0.01,72.8279978739932,1.92,1.92,1.92,0.01,0.01,0.01,1.68,1.68,1.68,0.25,0.25,0.25,100,94.55,15.89,7.08,-0.77,-0.77,-0.77,49.83,12.34,5.61,1.69,1.15,1.02,1.34,1.34,1.34,0,0,0,0,0,0,97.91,18.72,9.77,22.92,-1.34,-1.34,-1.34,81.84,97.91,18.72,9.77,22.92,-1.34,-1.34,-1.34,81.84,92.72,100,94.3,0,13.4358147467,5.0850601,0.64,0.66,2.89,1.17,1,99.9999962,0,0.094549509748,4.95,4.89,0,0,0,0,0,0,0,0,0,13,0,0,6.29950200621,0.727573573589,50.9145482755083,null,0.9549436,0.8480512,0.8590008,0.841156,0.9523186,0.9475848,0.9879215,0.9689131,0.975477,0.9907834,null,0.4918189,1,null,95.84386,82.75261,58.89782,43.37979,95.10907,95.99303,85.67164,94.25087,81.12245,98.18512,null,66.06335,100,null,0.5,0.54,0.13,0.05,0,0,0,0.53,0,0.02,0.05,0.47,0,0,0.01,0.12,0,0,0.01,0.04,2.1,0,0.21,0.16,0.11,0,0,0,0.2,0,0,0,0.21,0.16,0.11,0,0,0,0,0.96,0,0,0.96,0.770916030534,0,0.578360655738,0.75,0.29,0.17,0,0,0,0.72,0.75,0.29,0.17,0,0,0,0.72,0,58.64,1.1,0,0,0,0,6.89,0.13,41,0.77,10.75,0.2,0,0,1.44,0.33,0,0,0,0,0.39,0.09,1.05,0.24,0,0,0,0,4,0.075,4,0,0,0,0,0,0,0,0,4,0,287,0.134,0.61,0.16,5.08,1.85,5.7,2.01,7.28,2.57,0,0,0,0,0,0,0,0,0,0,0,0,0,0.444628298283,0.0108011136372,0.058541261125,-0.116201281926,1.68351538831,0.124088409937,0.929611011551,1.05369942149,0.163758011102,0.466058572908,0.629816467883,0.132333895201,0.147438935786,0.279772830987,0.0287317736773284,358,0,358,2,70,13,12,0,0,0,0,0,0,0,0.213644019202053,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0,0,0,12.8,1.7,8,1852.64,71.34,3.31,3.5,4.56,-4.56,0.51,-0.51,1.16,-1.16,-14.79,14.79,83.32,54,null,null,0,0,0.62,0,0.36,0.34,61.31,32.85,0.3262522,0.3239015,0.25,0.25,0,0,0.7287566,0.7217044,67.02641,81.70732,50.05741,77.00348,75.31573,86.58537,15.24684,13.41463,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,55.64,0,0,0,0,0,0,0,0,51.91,0,0,0,0,0,0,0,0,27.61,0,0.73,0,11.45,0,3.4,0,2.88,0,31.53,null,20.9,155.614269018,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["180902020102","West Fork Thirsty Canyon","18090202","Upper Amargosa","180902","Northern Mojave",143769600,96.46,3.54,22.22,17.76,33.65,"180902020106",0,1,0,143.7649555,24908087,507.7390137,134.68,0,240.438571692,0,"09","NV","NV",{"$nulls":3},1,"NV","Nye County-NV","Nye County-NV","13","13",0,0,0,5856.2202148,4376.9799805,6572.0297852,6.8336601,18.69,23.8,262.68,148.11,49.98,24.62,2.36,585.05,0.07,0,0.07,0,0,0,0,0,0.01,0,0.01,0,0.01,0,0,null,0,0,0,0,0,0,0,0,0,0,0,0,4.83261339092873,99.07,17.38,22.18,-0.01,0,0,99,17.38,22.17,0.04,0,0,0,0,0,0,0,0,0.01,0,0,99.12,17.39,22.18,33.25,0,0,0,94.67,99.11,17.38,22.18,33.25,-0.01,0,0,94.66,99.77,100,99.77,0,0.193259214744,7.7863002,0.6,0.6,null,null,1,99.9993762,null,0,5,4.97,0,0,0,0,0,0,1,0,1,29,0,0,1.8411330005,0,52.0417301996434,51.8,0.8697248,0.8512897,0.8524062,0.8537689,0.776223,0.7777561,0.9556639,0.9651641,1,1,0.6340559,0.6597595,1,null,54.99368,55.24287,53.35019,50.34695,25.07375,25.59753,80.44669,82.03547,100,100,81.59091,86.33094,100,null,0.5,0.88,0.37,0.04,0,0,0,0.07,0.01,0.01,0.35,0.5,0,0.01,0.16,0.2,0,0,0.01,0.02,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.88,0.37,0.04,0,0,0,0.07,0.89,0.37,0.04,0.01,0,0,0.07,0,101.95,0.71,0,0,0,0,0,0,95.95,0.67,6,0.04,0,0,19.05,0.6,0,0,0,0,0,0,18.48,0.58,0.57,0.02,0,0,117,0.8138,92,13,12,0,0,0,0,0,0,117,0,0,0.163,0.71,0.49,-0.48,-0.32,0.23,0.18,0.23,0.18,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.12923493001,0.182196345462,1.19308819471,1.37528508,0.266878483915,0.487071904526,0.753950504226,0.188216324509,0.685817320628,0.87403353075,0.00153768261107499,50,0,50,0,6,4,7,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.5,0,0,67.28,1.37,3.56,3.66,11.83,-11.83,10.86,-10.86,-2.01,2.01,-35.08,35.08,97.03,25,null,null,0,0,0.03,0,0.4,0.4,null,null,0.009487803,0.009508235,0.001796741,0.001796741,0,0,0.02666667,0.02672796,1.348504,2.197379,3.792668,2.852737,8.554572,13.45412,34.00759,32.45952,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,0,0,0,37.7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,null,75.0149658844,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["180902020702","180902020702","18090202","Upper Amargosa","180902","Northern Mojave",58950000,99.2,0.8,5.12,57.52,58.08,"180902020703",1,2,116.5313913,175.4628992,20244850,1072.1199951,24.56,0,78.2145777377,0,"09","CA,NV","CA","NV",null,null,0,"NV","Inyo County-CA, Nye County-NV","Nye County-NV","14","14",0,0,0,2990.75,2542.6499023,5330.7700195,4.2431798,26.03,31.14,117.46,59.31,6.16,1.57,0,993.82,0.01,0,0.01,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21.1608454121704,97.17,56.62,5.08,0.12,0.05,0,97.16,56.62,5.08,0.63,0.05,0,0,0,0,0,0,0,2.21,0.84,0.04,100,57.52,5.12,58.08,0,0,0,97.18,97.79,56.67,5.08,57.23,0.11,0.05,0,94.77,99.42,100,99.42,0,4.58015267176E-5,6.5865402,0.71,0.71,73.05,0,0,99.8824455,null,0,5,5,0,0,0,0,0,0,1,1,0,29,0,0,3.72984486191,0,null,null,0.9258265,0.8945306,0.9347474,0.9417043,0.7025135,0.6414081,0.9918717,0.9950101,1,1,null,null,1,null,84.15508,74.00163,95.4488,94.21353,9.52381,10.02445,95.91235,88.01956,100,100,null,null,100,null,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0,0,0,0,0,0,0,2.21,0.84,0.04,-0.11,-0.05,0,0.01,0,11.43,0.19,0,0,0,0,0,0,8.41,0.14,3.02,0.05,0,0,0.32,0.11,0,0,0,0,0,0,0,0,0.32,0.11,0,0,2,0.0339,0,2,0,0,0,0,0,0,0,2,0,0,0.045,0.15,0.13,0.42,0.26,0.58,0.38,0.58,0.38,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.70433583577,0.111999750875,0.987065246971,1.09906469935,0.130245211648,0.475025645155,0.605270837921,0.108994104521,0.323549707447,0.432544072701,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.411094473081107,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.2e-05,0,0,0,0.5,0.1,1.3,33.2,0,3.49,3.58,11.68,-11.68,10.19,-10.19,23.93,-23.93,10.06,-10.06,0,14,null,null,0,0,6.95,0,0.29,0.29,0,0,0.07898006,0.07938189,0.2329365,0.2329365,3.679483e-06,8.480314e-07,0.004,0.005208333,7.585335,33.98533,21.91319,54.36023,3.834808,18.50041,45.89128,41.80929,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,0,0,0,0,7,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,93,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,99.93,0,7.04,7.04,0,0,0,0,7.04,92.89,0,0,0,0,0,0,0,0,52.4,0,5.52,0,37.45,0,25.19,0,2.82,0,24.92,18.6,18.6,364.770814002,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["180902032201","Upper Warm Spring Canyon","18090203","Death Valley-Lower Amargosa","180902","Northern Mojave",65535300,99.99,0.01,0.12,6.05,6.14,"180902032202",0,1,0,65.53993739,20227615,299.9750061,31.77,0,75.9995645642,0,"09","CA","CA",{"$nulls":3},1,"CA","Inyo County-CA","Inyo County-CA","14","14",0,0,0,4226.3100586,1698.4000244,8267.3896484,18.4997997,23.33,28.26,192.08,93.88,20.22,6.78,0.04,892.24,2.47,0,2.46,0.01,0.01,0,0.01,0,0.01,0,0,0.01,0,0,0,13.6687540488016,0.01,0.01,0.01,0,0,0,0.01,0.01,0.01,0,0,0,49.9599251936949,98.58,5.99,0.11,-0.15,-0.04,-0.01,96.11,5.98,0.1,0.55,0.04,0,0,0,0,0,0,0,0.86,0.02,0,100,6.05,0.12,6.14,0,0,0,98.71,99.14,6.03,0.12,6.12,0.02,0,0,97.86,80.9,100,80.9,0,0.257810676078,8.7644997,0.72,0.62,null,null,1,99.9739078,null,0,5,4.75,0,0,0,0,0,0,0,0,0,32,0,0,7.83755899994,0,null,null,0.9031199,0.8502231,0.8166809,0.8,0.7715178,0.7256395,0.9274008,0.8752529,1,1,null,null,1,null,65.97015,41.15729,25.35017,12.79544,41.58439,30.96985,41.95178,13.93643,100,100,null,null,100,null,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0,0,0,0,0,0,0,0.86,0.02,0,-0.02,0,0,0,0,37.76,0.58,0,0,0,0,0,0,27.66,0.42,10.1,0.15,0,0,0.23,2.75,0,0,0,0,0,0,0.23,2.75,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.444,1.21,0.98,17.89,17.76,19.1,18.74,19.1,18.74,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3.04483974587,0.258368340456,1.60755068968,1.86591903013,0.396731071618,0.782189260527,1.17892092024,0.211413091618,1.2986082829,1.51002099093,0.00024700353365073,4,0,4,0,0,0,0,0,null,0,0,0,0,0,0.0505040747350615,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1e-06,0,0,0,1.6,0.1,1.7,16.83,0,3.35,3.43,10.62,-10.62,10.94,-10.94,20.43,-20.43,-0.61,0.61,100,15,null,null,0,0,0,0,0.28,0.38,null,null,0.003046133,0.004050939,2.45425e-10,3.936e-10,1.772455E-8,3.854688e-08,0.009138381,0.01215278,2.342135,7.98696,2.135476,5.786471,10.47072,25.59087,16.02755,35.20782,0,0,0,null,null,0,null,null,0,null,null,0,null,null,0,null,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,78.72,99.25,0,0,0,0,99.46,0,0,0,0,0,0,0,0,0,33.93,0,2.37,0,36.64,0,7.4,0,2.82,0,24.92,18.6,18.6,164.523493767,0,0,0,0,0,0,0,0,0,0,0,null,0,null,null,0,0.5]
["180902061103","Brainard Canyon-Little Rock Wash","18090206","Antelope-Fremont Valleys","180902","Northern Mojave",103971600,94.6,5.4,22.95,51.95,62.48,"180902061603",2,3,165.1728926,269.1469515,22678450,1983.1500244,75.66,0,96.1799731238,0.0929246140026,"09","CA","CA",{"$nulls":3},1,"CA","Los Angeles County-CA","Los Angeles County-CA","14,8","14",0,0,0,3107.9599609,2406.3000488,5057.8100586,4.8446298,24.55,28.98,207.22,76.39,23.22,8.33,0,861.61,0,0,0,0,0,0,0,0,0,0,0,0,-0.06,-0.03,-0.04,null,2.54,2.54,2.54,0.01,0.01,0.01,0.7,0.7,0.7,1.84,1.84,1.84,null,80.34,36.87,19.28,-1.35,-1.29,-0.05,78.5,35.04,17.45,1.74,1.35,0.13,0.14,0.14,0.14,0,0,0,5.59,3.76,1.64,88.38,42.68,21.75,52.76,-1.33,-1.32,-0.04,71.8,82.78,38.92,20.11,48.65,-1.36,-1.34,-0.03,66.16,87.99,66.67,87.95,0,0.198616737648,6.68994,0.74,0.74,62.81,10.75,0,33.2441741,0,0.465469670258,4.7,4.95,0,0,0,0,0,0,0,0,0,34,0,0,5.16672599614,0.545029580593,54.1333333333,null,0.8883343,0.8164659,0.720592,0.6350118,0.9193659,0.85096,0.9488516,0.9022108,0.8528618,0.8041264,null,0.8900206,1,null,57.88749,22.98289,16.4868,3.341483,89.52928,74.89813,55.13203,21.27139,43.55288,22.42226,null,94.93976,100,null,0.5,10.85,8.57,0.87,1.25,1.21,0,9.48,0.22,1.36,2.8,6.47,0.18,1.18,2.28,4.93,0.02,0.09,0.26,0.5,43.78,31.17,0.63,0.56,0.18,0.07,0.07,0,0.09,0.32,0.32,0,0.3,0.24,0.18,0.00999999999254,0.108454219997,0,0,1.04880794702,0,0,1.04125,0.658731563422,0,0.856634146341,11.48,9.12,1.05,1.32,1.27,0.01,9.92,17.07,12.88,2.69,1.34,1.29,-0.01,14.99,0.11,322.37,3.1,328.55,3.16,0,0,27.18,0.26,270.59,2.6,24.6,0.24,6.18,0.06,48.25,1.9,49.16,1.93,0,0,3.88,0.15,38.74,1.52,5.63,0.22,0.91,0.04,184,1.7697,88,60,0,36,0,0,0,0,0,148,36,6560,2.276,6.74,4.93,5.31,3.9,12.05,8.82,12.01,8.81,33.33,16.67,0.0577,6,0,0,0,0,0,0,0.0577,6,0.0151397110894,2.84626579285,0.01414759953,0.338666795462,0.0719679448948,6.83966865739,0.309316898692,4.0842470156,4.39356391429,0.411075054908,2.03502952046,2.44610515923,0.258982589272,0.333403771744,0.592386361016,0.0055808246031524,38,0,38,6,17,102,109,3,4,9022,91.35,151,7.46,2,37.088575623788,238,6,0,0,0,0,3,26.2,0,1,0.0132170235263019,8,0.00029544533003628,0.0897454580010874,0,0,0,0.884422,0.205997000083,3.67000000149E-3,0,49.3,7.4,20.4,413.22,21.26,2.95,2.95,6.34,-6.34,4.96,-4.96,25.97,-25.97,10.9,-10.9,0,14,0,0,0,0,13.25,16.4,0.26,0.26,3.96,18.84,0.39818,0.4746614,0.5961131,0.5393055,0.01936544,0.09891476,0.5790614,0.7857639,88.54191,97.39201,97.10677,97.39201,57.77268,96.33252,75.13203,93.23553,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,17.42,0,0,0,0,0,14.16,0,14.16,15.51,0,2.56,39.66,1,8,129907,5,42.97,62.31,9.76,20.54,77.84,94.89,27.64,48.42,9.42,16.94,17.07,34.02,19.5,22.4,43723.0641937,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["180902081604","Cady Peak-Frontal Broadwell Lake","18090208","Mojave","180902","Northern Mojave",130245300,99.56,0.44,2.83,33.89,35.89,"180902081605",0,1,0,130.2591011,22657043,198.9080048,49.73,0.07,84.2325093505,0.00581372335243,"09","CA","CA",{"$nulls":3},1,"CA","San Bernardino County-CA","San Bernardino County-CA","14","14",0,0,0,2257.5900879,1310.2199707,4584.0600586,7.7567902,27.85,32.77,115.85,58.11,6,1.13,0,1093.88,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,26.4501160092807,84.02,29.51,2.44,0.47,0.34,0,84.02,29.51,2.44,8.1,1.08,0.3,0,0,0,0,0,0,7.88,3.29,0.09,100,33.89,2.83,35.89,0,0,0,98.8,92.12,30.6,2.74,32.52,0.72,0.48,0,89.63,99.48,100,99.48,0,0.00558331087571,7.8369999,0.74,0.81,null,null,1,97.634697,null,0,4.53,5,0,0,0,0,0,0,0,0,0,31,0,0,3.52309899876,0,43,null,0.8705071,0.7671917,0.9015419,0.8697046,0.7013098,0.6399301,0.9802002,0.9659781,0.7694835,0.6931314,null,0.6672146,1,null,51.02181,12.14344,85.46498,61.93969,24.47761,9.861451,79.58668,58.59821,24.65213,10.8838,null,43.85542,100,null,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0,0,0,0,0,0,0,7.88,3.29,0.09,-0.72,-0.48,0,0.05,0,34.46,0.26,0,0,0,0,0,0,31.67,0.24,2.79,0.02,0,0,2.78,0.75,0,0,0,0,0,0,2.78,0.75,0,0,0,0,44,0.3378,43,1,0,0,0,0,0,0,0,44,0,0,0.158,0.5,0.4,0.02,0.12,0.52,0.52,0.52,0.52,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4.11682409616,0.179433635001,2.53264879024,2.71208258091,0.246188760403,1.15855258512,1.40474135097,0.0984558087178,0.35951726798,0.457973722045,0,0,0,0,0,0,0,0,0,0,1,0.01,0,0,0,0.0969466527893137,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9.3e-05,0,0,0,1.7,0.2,1.3,13.39,0,3.18,3.23,8.45,-8.45,10.64,-10.64,23.18,-23.18,9.1,-9.1,0,12,null,null,0,0,1.5,0,0.26,0.19,null,null,0.0803457,0.08077697,0.237119,0.237119,1.648384e-06,3.58486e-06,0.003916449,0.005208333,11.64179,34.96333,25.25832,55.66422,8.059701,18.50041,23.94948,49.47025,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,0,0,0,0,99.35,0,99.35,100,0,0,0,0,0,0,0,0,49.57,0,35.1,0,70.56,0,18.34,0,15.95,0,26.79,23.5,23.5,2937.72766066,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["181001003705","Browns Wash","18100100","Southern Mojave","181001","Southern Mojave",108979200,100,0,0,41.67,41.67,"181001003707",0,1,0,108.9834427,null,351.9370117,30.55,0,118.574339988,0,"09","CA","CA",{"$nulls":3},1,"CA","San Bernardino County-CA","San Bernardino County-CA","14","14",0,0,0,1604.0100098,586.2130127,4417.8300781,7.0866098,28.91,33.9,137.12,75.34,7.97,1.58,0,1179.4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,0,0,0,0,0,0,0,0,0,0,13.1578947368421,70.44,23.23,0,0.01,0.01,0,70.44,23.23,0,0.64,0.01,0,0,0,0,0,0,0,28.92,18.43,0,100,41.67,0,41.67,0,0,0,0,71.08,23.24,0,23.24,0.01,0,0,0,96.22,100,96.22,0,0,9.2785997,0.78,0.79,null,null,1,100,null,0,5,5,0,0,0,0,0,0,0,0,0,32,0,0,2.42840499801,0,46.5666666667,null,0.9446685,0.8760971,0.8973794,0.8604053,0.825963,0.7814875,1,1,1,1,null,0.7385926,1,null,92.4225,59.0057,84.22503,54.19723,60.32147,54.44173,100,100,100,100,null,61.92771,100,null,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0,0,0,0,0,0,0,28.92,18.43,0,-0.01,-0.01,0,0,0,65.18,0.6,74.64,0.68,0,0,0,0,54.49,0.5,10.69,0.1,9.46,0.09,{"$nulls":14},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.097,0.52,0.14,3.26,1.2,3.78,1.34,3.78,1.34,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.68221810264,0.183183641184,1.65012274512,1.83330647929,0.210103149861,0.638808338393,0.848911716339,0.171523206803,0.231483446695,0.403006644553,0,0,0,0,0,0,0,0,0,0,0,0,{"$nulls":3},0.253466557814459,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0132319301539704,0,0,0,1.2E-5,0,0,0,0.9,0.1,0.7,18.54,0,3.2,3.23,7.05,-7.05,8.91,-8.91,14.81,-14.81,-6.59,6.59,0,11,null,null,0,0,0.05,0,0.22,0.21,null,null,0.1113167,0.1116039,0.331339,0.331339,2.126947e-07,4.625626e-07,0.002610966,0.003472222,20.68886,58.27221,81.76808,90.54605,6.95752,15.07742,18.55339,39.7718,0,0,0,null,null,0,null,null,0,null,null,0,null,null,0,null,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,100,0,72.26,0,0,0,44.9,0,97.68,99.39,0,0,0,0,0,0,0,0,42.73,0,22.32,0,44.59,0,16.3,0,0.66,0,35.48,19.4,22.9,858.528642178,0,0,0,0,0,0,0,0,0,0,0,null,0,null,null,0,0.5]
["181002020303","Barrett Canyon-Carrizo Wash","18100202","Carrizo Creek","181002","Salton Sea",93819600,96.6,3.4,21.08,14.34,28.85,"181002020305",14,15,1160.707107,1254.524695,948100465,5010.0600586,80.67,0,84.2986589934,0,"09","CA","CA",{"$nulls":3},1,"CA","Imperial County-CA","Imperial County-CA","81","81",0,0,0,826.8690186,162.1040039,2398.5300293,10.3569002,30.5,34.96,115.51,49.85,6.1,0.77,0,1181.37,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,0,0,0,0,0,0,0,0,0,0,null,11.05,0.73,2.22,0.42,0.02,0.06,11.05,0.73,2.22,0,0,0,0,0,0,0,0,0,88.93,13.61,18.86,99.98,14.34,21.08,28.85,0,0,0,95.04,11.05,0.73,2.22,2.48,0.42,0.02,0.06,4.96,97.6,100,97.6,0,1.21829553739E-3,8.8295002,0.76,0.75,null,null,0,82.4623023,100,0.00863367806582,4.78,5,0,0,0,0,0,0,0,0,0,41,0,0,9.48931699035,0,47.3073621913368,47.4,0.9516835,0.8738142,0.8807325,0.8581384,0.9900742,0.9820866,0.995512,0.9922447,0.8920987,0.8479718,null,0.6886297,1,null,94.85649,54.58554,77.88749,32.89242,98.11711,92.85714,91.64179,89.32981,57.39796,38.40708,null,76.68845,100,null,0.5,0.02,0,0,0,0,0,0,0,0,0.01,0,0,0,0,0,0,0,0,0,0.01,0.21,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0,null,null,0,null,0.02,0,0,0,0,0,0,88.95,13.61,18.86,-0.42,-0.02,-0.06,80.84,0,10.45,0.11,0,0,0,0,7.11,0.08,3.34,0.04,0,0,0,0,3.43,0.17,0,0,0,0,3.43,0.17,0,0,0,0,0,0,23,0.2452,5,0,0,0,18,0,0,0,0,5,18,0,0.071,0.22,0.17,2.18,2.08,2.4,2.25,2.4,2.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2.28046439421,0.088398036134,1.65305242947,1.74145073321,0.10540363002,0.433610343979,0.539014051167,0.0895625261798,0.272205368084,0.361767865038,0,0,0,0,0,0,0,0,0,null,0,0,0,0,0,0.278535774715898,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1.5,1.5,14.8,18.76,0,2.92,2.87,5.52,-5.52,8.61,-8.61,15.65,-15.65,4.9,-4.9,0,11,null,null,0,0,0.08,0.1,0.24,0.25,null,null,0.08461813,0.08518682,0.2460215,0.2460215,0,0,0.007832898,0.009538951,14.05281,29.54145,28.54191,60.49383,10.01148,20.10582,15.24684,18.87125,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,98.55,0,43.41,0,0,0,0,0,43.41,50.89,0,0,0,0,0,0,0,0,30.29,0,10.37,0,89.23,0,43.69,0,14.67,0,5.35,null,null,9997.5028038,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
["181002041108","Beal Well","18100204","Salton Sea","181002","Salton Sea",93596400,96.27,3.73,22.36,27.71,43.03,"181002041109",0,1,0,93.60794272,22599561,593.4920044,99.72,0,70.7222744267,0,"09","CA","CA",{"$nulls":3},1,"CA","Imperial County-CA, Riverside County-CA","Imperial County-CA","81","81",0,0,0,1470.0100098,-27.2963009,2682.9399414,6.2350898,29.03,33.59,128.85,66.98,6.7,1.09,0,1208.99,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0.16,0.16,0.16,0,0,0,0.07,0.07,0.07,0.1,0.1,0.1,38.6936839836172,64.05,18.37,18.3,0.68,0.18,0.15,63.95,18.28,18.21,12.06,0.46,1.42,0,0,0,0,0,0,23.77,8.79,2.56,99.95,27.7,22.35,43.01,0.13,0.05,0.13,94.55,76.17,18.9,19.79,32.2,0.69,0.18,0.16,66.23,98.19,100,98.19,0,0,7.0613899,0.79,{"$nulls":3},1,100,null,0,4.69,4.98,0,0,0,0,0,0,2,1,1,32,0,0,9.55658999151,0.0477710664272,null,null,0.9241204,0.8698827,0.9218563,0.8931722,0.8661225,0.8271279,0.9846662,0.973452,0.8479572,0.7857785,null,null,1,null,80.29851,52.46914,90.30999,56.26102,74.25947,62.96296,83.14581,69.84127,42.27737,22.74336,null,null,100,null,0.5,0.05,0.02,0.02,0,0,0,0.03,0,0,0.01,0.04,0,0,0,0.02,0,0,0.01,0.01,0,0,0,0,0,-0.13,-0.05,-0.12,0,0,0,0,0,0,0,0,0.0230778101832,0,0,3.22,0.00096157544520943,0,3.22,1.61466666667,0,1.64416666667,0.05,0.02,0.02,-0.13,-0.04,-0.12,0.03,23.83,8.81,2.58,-0.69,-0.19,-0.15,10.01,0,37.64,0.4,0,0,0,0,0,0,37.64,0.4,0,0,0,0,12.16,0.58,0,0,0,0,0,0,12.16,0.58,0,0,0,0,32,0.3419,8,10,14,0,0,0,0,0,0,32,0,0,0.093,0.46,0.31,1.36,1.17,1.81,1.48,1.81,1.48,0,0,0,0,0,0,0,0,0,0,0,0,0.00928881857544,0.246817186475,0,0,0,3.01904978064,0.120831964421,2.0353002105,2.15613247757,0.1495301304,0.713386870013,0.862917303064,0.114767418931,0.350972557489,0.46573997642,0.00079124396724436,18,0,18,0,3,0,0,0,0,0,0,0,0,0,0.137401544008206,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0252423032629954,1.2,0,1.2,4.1E-5,0,0,0,2.3,0.2,1.6,7.59,0,3.06,3.04,6.72,-6.72,8.64,-8.64,16.69,-16.69,2.73,-2.73,0,11,null,null,0,0,0.18,0.6,0.21,{"$nulls":3},0.007838955,0.00826047,0.02351614,0.02478075,7.267067e-07,6.625337e-07,0,0,3.6969,2.028219,8.725603,7.407407,4.179104,11.37566,21.46958,30.8642,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,99.02,0,0,0,0,0,0,0,0,4.6,0,0.02,0,0,0,0,0,0,100,0,100,0,92.22,0,43.7,0,10.61,0,49.71,null,22.9,1447.36326075,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
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["181002041302","Barton Canyon","18100204","Salton Sea","181002","Salton Sea",110625300,95.66,4.34,26.49,11.08,31.57,"181002041400",0,1,0,110.6154857,22594859,379.7600098,131.67,0,158.632527497,0.00724141747232,"09","CA","CA",{"$nulls":3},1,"CA","Riverside County-CA, San Diego County-CA","Riverside County-CA","81","81",0.0516761208135029,1,0,2090.4699707,-227.6880035,6652.1499023,18.5244999,28.3,33.09,192.01,77.46,29.51,8.71,0,1053.69,2.45,0,2.45,0,0.01,0,0.01,0,0.23,0,0.23,0,0,0,0,null,0.01,0.01,0.01,-0.02,-0.01,-0.02,0,0,0,0.01,0.01,0.01,null,82.59,6.91,20.68,2.11,0.68,0.47,80.14,6.89,20.44,0,0,0,0.01,0.01,0.01,0,0,0,11.18,0.85,3.12,93.78,7.77,23.81,27.08,1.37,0.61,0.2,89.19,82.6,6.92,20.68,23.61,2.09,0.67,0.44,76.74,98.53,100,98.53,0,1.23957629945,12.4773998,0.78,{"$nulls":3},1,94.1171742,100,0.145626711172,4.61,4.93,1,1,0,2,2,0,1,1,0,37,0,0,8.36910199983,2.77797222137,27.3964781052691,25.3666666667,0.9017079,0.6885673,0.8578424,0.8348424,0.9321938,0.8784082,0.9097828,0.690939,0.8087204,0.7304955,null,0.3081512,1,null,65.07463,12.7866,57.45121,18.43034,92.58324,71.60494,34.23651,6.17284,32.72263,16.54867,null,30.93682,100,null,0.5,0.62,0.32,0.28,0.31,0.16,0.09,0.52,0.02,0.11,0.23,0.27,0,0.06,0.12,0.14,0.01,0.08,0.12,0.07,0,0,5.59,2.98,2.4,-1.67,-0.77,-0.28,4.82,5.59,2.98,2.4,0,0,0,0.0899999999982,4.77232599258,0,0,1.30100675916,1.23823393021307,0,1.29660729432,1.31884745763,0,1.13532407407,6.21,3.3,2.67,-1.36,-0.61,-0.2,5.51,17.39,4.15,5.8,-2.08,-0.67,-0.44,10.05,2.48,100.08,0.9,0,0,0,0,2.27,0.02,96.08,0.87,1.73,0.02,0,0,26.06,0.9,0,0,0,0,0.97,0.03,23.8,0.82,1.29,0.04,0,0,186,1.6814,75,29,53,29,0,0,0,0,0,157,29,0,0.173,0.48,0.39,0.99,0.79,1.47,1.18,1.47,1.18,0,0,0,0,0,0,0,0,0,0,0,0,7.09926223755,18.2883167267,2.93960613891,2.28793029046,3.77922146366,4.19132475332,0.362000590331,2.55507028605,2.91707087638,0.398547836378,0.87570596704,1.27425380342,0.204838842954,0.302486757089,0.507325546692,0.00058838022748594,4,5,9,0,5,2,644,0,2,159,1.5,55,2.27,35,1.56463603196382,33,2,0,0,0,0,0,0,0,0,0,0,0,0.0917011431266442,1,0,1,0.024698,6.75337599784,0,0,10.9,1.5,13.9,478.34,22.8,2.98,2.96,5.72,-5.72,5.22,-5.22,10.32,-10.32,-1.08,1.08,0,12,null,null,0,0,3.46,0,0.22,{"$nulls":3},0.2986012,0.3185412,0.3399832,0.3085955,0.0254512,0.02321132,0.5303693,0.6238167,56.99196,90.21164,82.96211,88.44797,53.20321,93.91534,76.94604,85.27337,0,0,0,0,null,0,0,null,0,0,null,0,0,null,0,0,null,0.5,1,0,0,0,100,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,90.47,0,76.29,0,0,0,75.77,0,90.42,58.91,0,0,0,0,0,297500,1,84.62,87.62,14.81,14.39,96.15,99.45,90.7,95.29,92.31,95.68,19.23,37.47,12.5,19.7,14294.3459244,0,0,0,0,0,0,0,0,0,0,0,0,0,0,null,0,0.5]
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