This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

WV Waterlink aims to democratize water resources management, governance, and equity in the mountain state by including citizen and community participation in the decision-making process around water security and climate change adaptation. In order to do this, communities need to be knowledgeable about the state (e.g., health, availability) and vulnerability of this critical resource and for whom water resources are currently being managed. Waterlink explores the connection between social, political, and economic conditions that impact water security. Datasets are collected fromThe key datasets that were essential for this analysis included American Community Survey, Flash Flood Events, National Resource Defense Council Safe Drinking Water Act violations, toxic release inventory, and Social Vulnerability data. By having these datasets, we were able to perform an analysis of the differences in counties in West Virginia and study how the Safe Drinking Water Act varies throughout the state.CDC/ ATSDR Social Vulnerability Index: https://www.atsdr.cdc.gov/placeandhealth/svi/index.htmlThis data was collected in 2020 at the county-level scale. Data was filtered at the state level initially to collect information related to West Virginia.NYU Flood Zone: https://floodzonedata.us/This data was collected in 2020 at the county-level scale. Data was collected to understand flash flood vulnerability in each county. This data is sorted from the Federal Emergency Management Agency. The lighter color counties exhibit a higher percent of people living in a 100-year flood plain zone. The darker color counties exhibit a lower percent of people living in a 100-year flood plain zone. There are two different flood plain events that were most significant towards impacting a community. Those flash floods included 100 year flood plain zone and a100 + 500 year flood plain zone.American Community Survey: https://www.census.gov/programs-surveys/acsData was collected in 2020 at the county level scale for West Virginia. Once data was joined to the state, it was filtered to highlight where income was the lowest verse to the highest.Natural Resource Defense Council: https://www.nrdc.org/resources/watered-down-justiceTo analyze communities safe drinking water act violations and the different factors that make one more vulnerable, we received data directly from Kristi Fedinick in her Watered Downed Justice Report. Overall Vulnerability is calculated by the longest average time out of compliance per system and the highest racial, ethnic, and language vulnerability. Data was collected in 2018 at the county level scale for West Virginia. Pop-Ups are coded to include information such as population, person below poverty level estimate, housing units, civilian over the age of 16 unemployed, person (age 25+) with no high school diploma, minority, housing in structure with 10 or more units, mobile homes, and households with no vehicles.

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

WV Waterlink aims to democratize water resources management, governance, and equity in the mountain state by including citizen and community participation in the decision-making process around water security and climate change adaptation. In order to do this, communities need to be knowledgeable about the state (e.g., health, availability) and vulnerability of this critical resource and for whom water resources are currently being managed. Waterlink explores the connection between social, political, and economic conditions that impact water security. Datasets are collected fromThe key datasets that were essential for this analysis included American Community Survey, Flash Flood Events, National Resource Defense Council Safe Drinking Water Act violations, toxic release inventory, and Social Vulnerability data. By having these datasets, we were able to perform an analysis of the differences in counties in West Virginia and study how the Safe Drinking Water Act varies throughout the state.CDC/ ATSDR Social Vulnerability Index: https://www.atsdr.cdc.gov/placeandhealth/svi/index.htmlThis data was collected in 2020 at the county-level scale. Data was filtered at the state level initially to collect information related to West Virginia.NYU Flood Zone: https://floodzonedata.us/This data was collected in 2020 at the county-level scale. Data was collected to understand flash flood vulnerability in each county. This data is sorted from the Federal Emergency Management Agency. The lighter color counties exhibit a higher percent of people living in a 100-year flood plain zone. The darker color counties exhibit a lower percent of people living in a 100-year flood plain zone. There are two different flood plain events that were most significant towards impacting a community. Those flash floods included 100 year flood plain zone and a100 + 500 year flood plain zone.American Community Survey: https://www.census.gov/programs-surveys/acsData was collected in 2020 at the county level scale for West Virginia. Once data was joined to the state, it was filtered to highlight where income was the lowest verse to the highest.Natural Resource Defense Council: https://www.nrdc.org/resources/watered-down-justiceTo analyze communities safe drinking water act violations and the different factors that make one more vulnerable, we received data directly from Kristi Fedinick in her Watered Downed Justice Report. Overall Vulnerability is calculated by the longest average time out of compliance per system and the highest racial, ethnic, and language vulnerability. Data was collected in 2018 at the county level scale for West Virginia. Pop-Ups are coded to include information such as population, person below poverty level estimate, housing units, civilian over the age of 16 unemployed, person (age 25+) with no high school diploma, minority, housing in structure with 10 or more units, mobile homes, and households with no vehicles.

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

WV Waterlink aims to democratize water resources management, governance, and equity in the mountain state by including citizen and community participation in the decision-making process around water security and climate change adaptation. In order to do this, communities need to be knowledgeable about the state (e.g., health, availability) and vulnerability of this critical resource and for whom water resources are currently being managed. Waterlink explores the connection between social, political, and economic conditions that impact water security. Datasets are collected fromThe key datasets that were essential for this analysis included American Community Survey, Flash Flood Events, National Resource Defense Council Safe Drinking Water Act violations, toxic release inventory, and Social Vulnerability data. By having these datasets, we were able to perform an analysis of the differences in counties in West Virginia and study how the Safe Drinking Water Act varies throughout the state.CDC/ ATSDR Social Vulnerability Index: https://www.atsdr.cdc.gov/placeandhealth/svi/index.htmlThis data was collected in 2020 at the county-level scale. Data was filtered at the state level initially to collect information related to West Virginia.NYU Flood Zone: https://floodzonedata.us/This data was collected in 2020 at the county-level scale. Data was collected to understand flash flood vulnerability in each county. This data is sorted from the Federal Emergency Management Agency. The lighter color counties exhibit a higher percent of people living in a 100-year flood plain zone. The darker color counties exhibit a lower percent of people living in a 100-year flood plain zone. There are two different flood plain events that were most significant towards impacting a community. Those flash floods included 100 year flood plain zone and a100 + 500 year flood plain zone.American Community Survey: https://www.census.gov/programs-surveys/acsData was collected in 2020 at the county level scale for West Virginia. Once data was joined to the state, it was filtered to highlight where income was the lowest verse to the highest.Natural Resource Defense Council: https://www.nrdc.org/resources/watered-down-justiceTo analyze communities safe drinking water act violations and the different factors that make one more vulnerable, we received data directly from Kristi Fedinick in her Watered Downed Justice Report. Overall Vulnerability is calculated by the longest average time out of compliance per system and the highest racial, ethnic, and language vulnerability. Data was collected in 2018 at the county level scale for West Virginia. Pop-Ups are coded to include information such as population, person below poverty level estimate, housing units, civilian over the age of 16 unemployed, person (age 25+) with no high school diploma, minority, housing in structure with 10 or more units, mobile homes, and households with no vehicles.

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, https://msc.fema.gov/portal/advanceSearch). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

WV Waterlink aims to democratize water resources management, governance, and equity in the mountain state by including citizen and community participation in the decision-making process around water security and climate change adaptation. In order to do this, communities need to be knowledgeable about the state (e.g., health, availability) and vulnerability of this critical resource and for whom water resources are currently being managed. Waterlink explores the connection between social, political, and economic conditions that impact water security. Datasets are collected fromThe key datasets that were essential for this analysis included American Community Survey, Flash Flood Events, National Resource Defense Council Safe Drinking Water Act violations, toxic release inventory, and Social Vulnerability data. By having these datasets, we were able to perform an analysis of the differences in counties in West Virginia and study how the Safe Drinking Water Act varies throughout the state.CDC/ ATSDR Social Vulnerability Index: https://www.atsdr.cdc.gov/placeandhealth/svi/index.htmlThis data was collected in 2020 at the county-level scale. Data was filtered at the state level initially to collect information related to West Virginia.NYU Flood Zone: https://floodzonedata.us/This data was collected in 2020 at the county-level scale. Data was collected to understand flash flood vulnerability in each county. This data is sorted from the Federal Emergency Management Agency. The lighter color counties exhibit a higher percent of people living in a 100-year flood plain zone. The darker color counties exhibit a lower percent of people living in a 100-year flood plain zone. There are two different flood plain events that were most significant towards impacting a community. Those flash floods included 100 year flood plain zone and a100 + 500 year flood plain zone.American Community Survey: https://www.census.gov/programs-surveys/acsData was collected in 2020 at the county level scale for West Virginia. Once data was joined to the state, it was filtered to highlight where income was the lowest verse to the highest.Natural Resource Defense Council: https://www.nrdc.org/resources/watered-down-justiceTo analyze communities safe drinking water act violations and the different factors that make one more vulnerable, we received data directly from Kristi Fedinick in her Watered Downed Justice Report. Overall Vulnerability is calculated by the longest average time out of compliance per system and the highest racial, ethnic, and language vulnerability. Data was collected in 2018 at the county level scale for West Virginia. Pop-Ups are coded to include information such as population, person below poverty level estimate, housing units, civilian over the age of 16 unemployed, person (age 25+) with no high school diploma, minority, housing in structure with 10 or more units, mobile homes, and households with no vehicles.

WV Waterlink aims to democratize water resources management, governance, and equity in the mountain state by including citizen and community participation in the decision-making process around water security and climate change adaptation. In order to do this, communities need to be knowledgeable about the state (e.g., health, availability) and vulnerability of this critical resource and for whom water resources are currently being managed. Waterlink explores the connection between social, political, and economic conditions that impact water security. Datasets are collected fromThe key datasets that were essential for this analysis included American Community Survey, Flash Flood Events, National Resource Defense Council Safe Drinking Water Act violations, toxic release inventory, and Social Vulnerability data. By having these datasets, we were able to perform an analysis of the differences in counties in West Virginia and study how the Safe Drinking Water Act varies throughout the state.CDC/ ATSDR Social Vulnerability Index: https://www.atsdr.cdc.gov/placeandhealth/svi/index.htmlThis data was collected in 2020 at the county-level scale. Data was filtered at the state level initially to collect information related to West Virginia.NYU Flood Zone: https://floodzonedata.us/This data was collected in 2020 at the county-level scale. Data was collected to understand flash flood vulnerability in each county. This data is sorted from the Federal Emergency Management Agency. The lighter color counties exhibit a higher percent of people living in a 100-year flood plain zone. The darker color counties exhibit a lower percent of people living in a 100-year flood plain zone. There are two different flood plain events that were most significant towards impacting a community. Those flash floods included 100 year flood plain zone and a100 + 500 year flood plain zone.American Community Survey: https://www.census.gov/programs-surveys/acsData was collected in 2020 at the county level scale for West Virginia. Once data was joined to the state, it was filtered to highlight where income was the lowest verse to the highest.Natural Resource Defense Council: https://www.nrdc.org/resources/watered-down-justiceTo analyze communities safe drinking water act violations and the different factors that make one more vulnerable, we received data directly from Kristi Fedinick in her Watered Downed Justice Report. Overall Vulnerability is calculated by the longest average time out of compliance per system and the highest racial, ethnic, and language vulnerability. Data was collected in 2018 at the county level scale for West Virginia. Pop-Ups are coded to include information such as population, person below poverty level estimate, housing units, civilian over the age of 16 unemployed, person (age 25+) with no high school diploma, minority, housing in structure with 10 or more units, mobile homes, and households with no vehicles.

WV Waterlink aims to democratize water resources management, governance, and equity in the mountain state by including citizen and community participation in the decision-making process around water security and climate change adaptation. In order to do this, communities need to be knowledgeable about the state (e.g., health, availability) and vulnerability of this critical resource and for whom water resources are currently being managed. Waterlink explores the connection between social, political, and economic conditions that impact water security. Datasets are collected fromThe key datasets that were essential for this analysis included American Community Survey, Flash Flood Events, National Resource Defense Council Safe Drinking Water Act violations, toxic release inventory, and Social Vulnerability data. By having these datasets, we were able to perform an analysis of the differences in counties in West Virginia and study how the Safe Drinking Water Act varies throughout the state.CDC/ ATSDR Social Vulnerability Index: https://www.atsdr.cdc.gov/placeandhealth/svi/index.htmlThis data was collected in 2020 at the county-level scale. Data was filtered at the state level initially to collect information related to West Virginia.NYU Flood Zone: https://floodzonedata.us/This data was collected in 2020 at the county-level scale. Data was collected to understand flash flood vulnerability in each county. This data is sorted from the Federal Emergency Management Agency. The lighter color counties exhibit a higher percent of people living in a 100-year flood plain zone. The darker color counties exhibit a lower percent of people living in a 100-year flood plain zone. There are two different flood plain events that were most significant towards impacting a community. Those flash floods included 100 year flood plain zone and a100 + 500 year flood plain zone.American Community Survey: https://www.census.gov/programs-surveys/acsData was collected in 2020 at the county level scale for West Virginia. Once data was joined to the state, it was filtered to highlight where income was the lowest verse to the highest.Natural Resource Defense Council: https://www.nrdc.org/resources/watered-down-justiceTo analyze communities safe drinking water act violations and the different factors that make one more vulnerable, we received data directly from Kristi Fedinick in her Watered Downed Justice Report. Overall Vulnerability is calculated by the longest average time out of compliance per system and the highest racial, ethnic, and language vulnerability. Data was collected in 2018 at the county level scale for West Virginia. Pop-Ups are coded to include information such as population, person below poverty level estimate, housing units, civilian over the age of 16 unemployed, person (age 25+) with no high school diploma, minority, housing in structure with 10 or more units, mobile homes, and households with no vehicles.

WV Waterlink aims to democratize water resources management, governance, and equity in the mountain state by including citizen and community participation in the decision-making process around water security and climate change adaptation. In order to do this, communities need to be knowledgeable about the state (e.g., health, availability) and vulnerability of this critical resource and for whom water resources are currently being managed. Waterlink explores the connection between social, political, and economic conditions that impact water security. Datasets are collected fromThe key datasets that were essential for this analysis included American Community Survey, Flash Flood Events, National Resource Defense Council Safe Drinking Water Act violations, toxic release inventory, and Social Vulnerability data. By having these datasets, we were able to perform an analysis of the differences in counties in West Virginia and study how the Safe Drinking Water Act varies throughout the state.CDC/ ATSDR Social Vulnerability Index: https://www.atsdr.cdc.gov/placeandhealth/svi/index.htmlThis data was collected in 2020 at the county-level scale. Data was filtered at the state level initially to collect information related to West Virginia.NYU Flood Zone: https://floodzonedata.us/This data was collected in 2020 at the county-level scale. Data was collected to understand flash flood vulnerability in each county. This data is sorted from the Federal Emergency Management Agency. The lighter color counties exhibit a higher percent of people living in a 100-year flood plain zone. The darker color counties exhibit a lower percent of people living in a 100-year flood plain zone. There are two different flood plain events that were most significant towards impacting a community. Those flash floods included 100 year flood plain zone and a100 + 500 year flood plain zone.American Community Survey: https://www.census.gov/programs-surveys/acsData was collected in 2020 at the county level scale for West Virginia. Once data was joined to the state, it was filtered to highlight where income was the lowest verse to the highest.Natural Resource Defense Council: https://www.nrdc.org/resources/watered-down-justiceTo analyze communities safe drinking water act violations and the different factors that make one more vulnerable, we received data directly from Kristi Fedinick in her Watered Downed Justice Report. Overall Vulnerability is calculated by the longest average time out of compliance per system and the highest racial, ethnic, and language vulnerability. Data was collected in 2018 at the county level scale for West Virginia. Pop-Ups are coded to include information such as population, person below poverty level estimate, housing units, civilian over the age of 16 unemployed, person (age 25+) with no high school diploma, minority, housing in structure with 10 or more units, mobile homes, and households with no vehicles.

WV Waterlink aims to democratize water resources management, governance, and equity in the mountain state by including citizen and community participation in the decision-making process around water security and climate change adaptation. In order to do this, communities need to be knowledgeable about the state (e.g., health, availability) and vulnerability of this critical resource and for whom water resources are currently being managed. Waterlink explores the connection between social, political, and economic conditions that impact water security. Datasets are collected fromThe key datasets that were essential for this analysis included American Community Survey, Flash Flood Events, National Resource Defense Council Safe Drinking Water Act violations, toxic release inventory, and Social Vulnerability data. By having these datasets, we were able to perform an analysis of the differences in counties in West Virginia and study how the Safe Drinking Water Act varies throughout the state.CDC/ ATSDR Social Vulnerability Index: https://www.atsdr.cdc.gov/placeandhealth/svi/index.htmlThis data was collected in 2020 at the county-level scale. Data was filtered at the state level initially to collect information related to West Virginia.NYU Flood Zone: https://floodzonedata.us/This data was collected in 2020 at the county-level scale. Data was collected to understand flash flood vulnerability in each county. This data is sorted from the Federal Emergency Management Agency. The lighter color counties exhibit a higher percent of people living in a 100-year flood plain zone. The darker color counties exhibit a lower percent of people living in a 100-year flood plain zone. There are two different flood plain events that were most significant towards impacting a community. Those flash floods included 100 year flood plain zone and a100 + 500 year flood plain zone.American Community Survey: https://www.census.gov/programs-surveys/acsData was collected in 2020 at the county level scale for West Virginia. Once data was joined to the state, it was filtered to highlight where income was the lowest verse to the highest.Natural Resource Defense Council: https://www.nrdc.org/resources/watered-down-justiceTo analyze communities safe drinking water act violations and the different factors that make one more vulnerable, we received data directly from Kristi Fedinick in her Watered Downed Justice Report. Overall Vulnerability is calculated by the longest average time out of compliance per system and the highest racial, ethnic, and language vulnerability. Data was collected in 2018 at the county level scale for West Virginia. Pop-Ups are coded to include information such as population, person below poverty level estimate, housing units, civilian over the age of 16 unemployed, person (age 25+) with no high school diploma, minority, housing in structure with 10 or more units, mobile homes, and households with no vehicles.

WV Waterlink aims to democratize water resources management, governance, and equity in the mountain state by including citizen and community participation in the decision-making process around water security and climate change adaptation. In order to do this, communities need to be knowledgeable about the state (e.g., health, availability) and vulnerability of this critical resource and for whom water resources are currently being managed. Waterlink explores the connection between social, political, and economic conditions that impact water security. Datasets are collected fromThe key datasets that were essential for this analysis included American Community Survey, Flash Flood Events, National Resource Defense Council Safe Drinking Water Act violations, toxic release inventory, and Social Vulnerability data. By having these datasets, we were able to perform an analysis of the differences in counties in West Virginia and study how the Safe Drinking Water Act varies throughout the state.CDC/ ATSDR Social Vulnerability Index: https://www.atsdr.cdc.gov/placeandhealth/svi/index.htmlThis data was collected in 2020 at the county-level scale. Data was filtered at the state level initially to collect information related to West Virginia.NYU Flood Zone: https://floodzonedata.us/This data was collected in 2020 at the county-level scale. Data was collected to understand flash flood vulnerability in each county. This data is sorted from the Federal Emergency Management Agency. The lighter color counties exhibit a higher percent of people living in a 100-year flood plain zone. The darker color counties exhibit a lower percent of people living in a 100-year flood plain zone. There are two different flood plain events that were most significant towards impacting a community. Those flash floods included 100 year flood plain zone and a100 + 500 year flood plain zone.American Community Survey: https://www.census.gov/programs-surveys/acsData was collected in 2020 at the county level scale for West Virginia. Once data was joined to the state, it was filtered to highlight where income was the lowest verse to the highest.Natural Resource Defense Council: https://www.nrdc.org/resources/watered-down-justiceTo analyze communities safe drinking water act violations and the different factors that make one more vulnerable, we received data directly from Kristi Fedinick in her Watered Downed Justice Report. Overall Vulnerability is calculated by the longest average time out of compliance per system and the highest racial, ethnic, and language vulnerability. Data was collected in 2018 at the county level scale for West Virginia. Pop-Ups are coded to include information such as population, person below poverty level estimate, housing units, civilian over the age of 16 unemployed, person (age 25+) with no high school diploma, minority, housing in structure with 10 or more units, mobile homes, and households with no vehicles.