title:"Vulnerability indicators across the Western states ",
title:"Vulnerability indicators across the Western states ",
p1Title:"Household sizes",
paragraph1:"Infrastructure and institutional factors are major determinants of access to and reliability of water delivery in the United States <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>(Drakes and others, 2024)</a>. <a href='https://wires.onlinelibrary.wiley.com/doi/10.1002/wat2.1486' target='_blank'>Meehan and others (2020)</a> found 471,000 households or 1.1 million people lacked piped water access between 2013 and 2017, with the majority (73%) of these households located in metropolitan areas, and nearly half (47%) in the 50 largest urban areas. The reviewed literature showed indicators of household size, female-headed households, female population, and percentage of females in the labor force were all predominantly positively related and influential to water insecurity conditions. Displayed below is a county-level map of the average household size of occupied housing units. Counties with the greatest average household size, shown in dark blue, include Oglala Lakota County, South Dakota; Madison County, Idaho; and Todd County, South Dakota.",
paragraph1:"Infrastructure and institutional factors are major determinants of access to and reliability of water delivery in the United States <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>(Drakes and others, 2024)</a>. <a href='https://wires.onlinelibrary.wiley.com/doi/10.1002/wat2.1486' target='_blank'>Meehan and others (2020)</a> found 471,000 households or 1.1 million people lacked piped water access between 2013 and 2017, with the majority (73%) of these households located in metropolitan areas, and nearly half (47%) in the 50 largest urban areas. The reviewed literature showed indicators of household size, female-headed households, female population, and percentage of females in the labor force were all predominantly positively related and influential to water insecurity conditions. Displayed below is a county-level map of the average household size of occupied housing units. Counties with the greatest average household size, shown in dark blue, include Oglala Lakota County, South Dakota; Madison County, Idaho; and Todd County, South Dakota.",
p2Title:"Income inequalities",
paragraph2:"Low income and impoverished persons are more likely to experience conditions associated with water insecurity. Moreover, income inequality is a highly significant predictor of 'plumbing poverty,' meaning homes that lack complete indoor plumbing <a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan and others, 2020)</a>. The county-level map below displays median household income in the past 12 months (in 2022 inflation-adjusted dollars). Counties with the greatest median household income are shown in dark blue and include Santa Clara County, California; San Mateo County, California; and Marin County, California.",
paragraph2:"Low income and impoverished persons are more likely to experience conditions associated with water insecurity. Moreover, income inequality is a highly significant predictor of 'plumbing poverty,' meaning homes that lack complete indoor plumbing <a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan and others, 2020)</a>. The county-level map below displays median household income in the past 12 months (in 2022 inflation-adjusted dollars). Counties with the greatest median household income are shown in dark blue and include Santa Clara County, California; San Mateo County, California; and Marin County, California.",
p3Title:"Renter disparities",
paragraph3:"As median rent values go up, water insecurity tends to go down, likely reflecting greater access to resources for wealthier populations <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines and others, 2023)</a>. That said, renters tend to be at a higher risk of losses from water-related hazards compared to homeowners. After disasters, renters are more likely to relocate and less likely to apply for and receive assistance. Renters also often lack the authority and means to enact structural changes to their homes for hazard mitigation, response, or recovery, which raises the hazard exposure and susceptibility of renters while lowering their capacity to cope <a href='https://doi.org/10.1016/j.ijdrr.2020.102010' target='_blank'>(Drakes and others, 2021) </a>. The county-level map below displays median gross rent. Counties with the greatest median gross rent, shown in dark green, include San Mateo County, California; Santa Clara County, California; and Marin County, California.",
paragraph3:"As median rent values go up, water insecurity tends to go down, likely reflecting greater access to resources for wealthier populations <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines and others, 2023)</a>. That said, renters tend to be at a higher risk of losses from water-related hazards compared to homeowners. After disasters, renters are more likely to relocate and less likely to apply for and receive assistance. Renters also often lack the authority and means to enact structural changes to their homes for hazard mitigation, response, or recovery, which raises the hazard exposure and susceptibility of renters while lowering their capacity to cope <a href='https://doi.org/10.1016/j.ijdrr.2020.102010' target='_blank'>(Drakes and others, 2021) </a>. The county-level map below displays median gross rent. Counties with the greatest median gross rent, shown in dark green, include San Mateo County, California; Santa Clara County, California; and Marin County, California.",
p4Title:"Hispanic populations",
paragraph4:"Hispanic populations are at an increased risk of water insecurity <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines and others, 2023)</a>. In some areas of the country, Hispanic households are more likely to experience 'plumbing poverty'—meaning homes that lack complete indoor plumbing <a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan and others, 2020)</a>—particularly in the Western United States. In fact, research shows that although Hispanic-headed households make up less than 13% of all U.S. households, they account for nearly 17% of households with incomplete plumbing <a href='https://doi.org/10.1080/24694452.2018.1530587' target='_blank'>(Deitz & Meehan, 2019)</a>. The county map below shows the percent of Hispanic populations. Counties with the greatest percent of Hispanic residents, shown in dark blue, include Kenedy County, Texas; Starr County, Texas; and Webb County, Texas. These areas are particularly affected by the combined challenges of water insecurity and plumbing poverty.",
paragraph4:"Hispanic populations are at an increased risk of water insecurity <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines and others, 2023)</a>. In some areas of the country, Hispanic households are more likely to experience 'plumbing poverty'—meaning homes that lack complete indoor plumbing <a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan and others, 2020)</a>—particularly in the Western United States. In fact, research shows that although Hispanic-headed households make up less than 13% of all U.S. households, they account for nearly 17% of households with incomplete plumbing <a href='https://doi.org/10.1080/24694452.2018.1530587' target='_blank'>(Deitz & Meehan, 2019)</a>. The county map below shows the percent of Hispanic populations. Counties with the greatest percent of Hispanic residents, shown in dark blue, include Kenedy County, Texas; Starr County, Texas; and Webb County, Texas. These areas are particularly affected by the combined challenges of water insecurity and plumbing poverty.",
p5Title:"Disabled populations",
paragraph5:"Special needs and disabled populations may live in places more exposed to water-related hazards <a href='https://www.sciencedirect.com/science/article/abs/pii/S0277953619301121' target='_blank'>(Chakraborty and others, 2019)</a> or experiencing unreliable or intermittent potable water supplies <a href='https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0155043' target='_blank'>(White and others, 2016)</a>. For example, <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>Drakes and others (2024)</a> found special needs and disabled populations were associated with a higher likelihood of water insecure conditions in the Western United States. However, only two studies have measured the relationship between disability and water insecurity, and the limited research on the topic was conducted only in the municipal water-use sector. The map below shows the percent of disabled persons in each county. Counties with the greatest percent of disabled individuals, shown in dark blue, include Catron County, New Mexico; Mora County, New Mexico; and Kinney County, Texas.",
paragraph5:"Special needs and disabled populations may live in places more exposed to water-related hazards <a href='https://www.sciencedirect.com/science/article/abs/pii/S0277953619301121' target='_blank'>(Chakraborty and others, 2019)</a> or experiencing unreliable or intermittent potable water supplies <a href='https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0155043' target='_blank'>(White and others, 2016)</a>. For example, <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>Drakes and others (2024)</a> found special needs and disabled populations were associated with a higher likelihood of water insecure conditions in the Western United States. However, only two studies have measured the relationship between disability and water insecurity, and the limited research on the topic was conducted only in the municipal water-use sector. The map below shows the percent of disabled persons in each county. Counties with the greatest percent of disabled individuals, shown in dark blue, include Catron County, New Mexico; Mora County, New Mexico; and Kinney County, Texas.",
paragraph6:"Placeholder text for now."
},
},
metaAnalysisText:{
metaAnalysisText:{
title:"Meta-analysis of social vulnerability to water insecurity",
title:"Meta-analysis of social vulnerability to water insecurity",
paragraph1:`Researchers in the USGS Social and Economic Drivers program <a href="https://www.usgs.gov/data/literature-summary-indicators-water-vulnerability-western-us-2000-2022" target="blank">identified factors of social vulnerability associated with conditions of water insecurity</a>. The team focused their analysis on studies between 2000 and 2022 that took place in the conterminous United States (lower 48 states) west of the Mississippi River. The Western states face a slew of water availability challenges, including increasing population growth, dependence on groundwater, and generally low precipitation (see <a href='https://pubs.usgs.gov/circ/2005/circ1261/pdf/C1261.pdf' target="blank">Anderson and Woosley 2005 </a> for a discussion of water availability in the Western United States).`,
paragraph1:`Researchers in the USGS Social and Economic Drivers program <a href="https://www.usgs.gov/data/literature-summary-indicators-water-vulnerability-western-us-2000-2022" target="blank">identified factors of social vulnerability associated with conditions of water insecurity</a>. The team focused their analysis on studies between 2000 and 2022 that took place in the conterminous United States (lower 48 states) west of the Mississippi River. The Western states face a slew of water availability challenges, including increasing population growth, dependence on groundwater, and generally low precipitation (see <a href='https://pubs.usgs.gov/circ/2005/circ1261/pdf/C1261.pdf' target="blank">Anderson and Woosley 2005 </a> for a discussion of water availability in the Western United States).`,
title:"Indicadores de riesgo en los estados del oeste",
title:"Indicadores de riesgo en los estados del oeste",
paragraph1:"La infraestructura y los elementos institucionales son los factores determinantes principales de acceso y seguridad del suministro de aguas en los Estados Unidos <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>(Drakes y otros, 2024)</a>. <a href='https://wires.onlinelibrary.wiley.com/doi/10.1002/wat2.1486' target='_blank'>Meehan y otros (2020)</a> encontraron que 471 000 hogares o 1,1 millones de personas carecían de acceso a agua corriente entre 2013 y 2017, con la mayoría (73%) de estos hogares ubicados en áreas metropolitanas y casi la mitad (47%) en las 50 mayores áreas urbanas. Los estudios consultados mostraban que indicadores como el tamaño del hogar, las mujeres cabeza de familia, la población femenina y el porcentaje de mujeres en la fuerza laboral se relacionaban positivamente de manera predominante e influían en las condiciones de falta de acceso al agua. A continuación, se muestra un mapa por condados de la media del tamaño de los hogares, de viviendas ocupadas, donde los condados con la media de hogares de mayor tamaño, en azul oscuro, incluyen los condados de Oglala Lakota y de Todd en Dakota del Sur y el condado de Madison en Idaho.",
p1Title:"Tamaño del hogar ",
paragraph2:"spanish textinequality is a highly significant predictor of 'plumbing poverty,' meaning homes that lack complete indoor plumbing <a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan and others, 2020)</a>. The county-level map below displays median household income in the past 12 months (in 2022 inflation-adjusted dollars). Counties with the greatest median household income are shown in dark blue and include Santa Clara County, California; San Mateo County, California; and Marin County, California.",
paragraph1:"La infraestructura y los elementos institucionales son los factores determinantes principales de acceso y seguridad del suministro de aguas en los Estados Unidos <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>(Drakes y otros, 2024)</a>. <a href='https://wires.onlinelibrary.wiley.com/doi/10.1002/wat2.1486' target='_blank'>Meehan y otros (2020)</a> encontraron que 471 000 hogares o 1,1 millones de personas carecían de acceso a agua corriente entre 2013 y 2017, con la mayoría (73%) de estos hogares ubicados en áreas metropolitanas y casi la mitad (47%) en las 50 mayores áreas urbanas. Los estudios consultados mostraban que indicadores como el tamaño del hogar, las mujeres cabeza de familia, la población femenina y el porcentaje de mujeres en la fuerza laboral se relacionaban positivamente de manera predominante e influían en las condiciones de falta de acceso al agua. A continuación, se muestra un mapa por condados de la media del tamaño de los hogares, de viviendas ocupadas, donde los condados con la media de hogares de mayor tamaño, en azul oscuro, incluyen los condados de Oglala Lakota y de Todd en Dakota del Sur y el condado de Madison en Idaho. ",
paragraph3:"spanish texts <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines and others, 2023)</a>. spanish textkely to relocate and less likely to apply for and receive assistance. Renters also often lack the authority and means to enact structural changes to their homes for hazard mitigation, response, or recovery, which raises the hazard exposure and susceptibility of renters while lowering their capacity to cope <a href='https://doi.org/10.1016/j.ijdrr.2020.102010' target='_blank'>(Drakes and others, 2021) </a>. The county-level map below displays median gross rent. Counties with the greatest median gross rent, shown in dark green, include San Mateo County, California; Santa Clara County, California; and Marin County, California.",
p2Title:"Desigualdad de ingresos",
paragraph4:"Hispanic populations are at an increased risk of water insecurity <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines and others, 2023)</a>. In some areas of the country, Hispanic households are more likely to experience 'plumbing poverty'—meaning homes that lack complete indoor plumbing <a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan and others, 2020)</a>—particularly in the Western United States. In fact, research shows that although Hispanic-headed households make up less than 13% of all U.S. households, they account for nearly 17% of households with incomplete plumbing <a href='https://doi.org/10.1080/24694452.2018.1530587' target='_blank'>(Deitz & Meehan, 2019)</a>. The county map below shows the percent of Hispanic populations. Counties with the greatest percent of Hispanic residents, shown in dark blue, include Kenedy County, Texas; Starr County, Texas; and Webb County, Texas. These areas are particularly affected by the combined challenges of water insecurity and plumbing poverty.",
paragraph2:"Las personas de bajos ingresos y empobrecidas tienen más probabilidades de experimentar condiciones asociadas con la carencia de agua potable. Además, la desigualdad de ingresos es un predictor muy significativo de la 'pobreza de plomería', es decir, de los hogares que carecen de plomería interior completa <a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan y otros, 2020)</a>.El mapa por condados a continuación muestra la media de ingresos por hogar en los últimos 12 meses (en dólares ajustados a la inflación de 2022). Los condados con la mayor media de ingresos por hogar se muestran en azul oscuro e incluyen los condados de Santa Clara, de San Mateo y de Marín en California.",
paragraph5:"Special needs and disabled populations may live in places more exposed to water-related hazards <a href='https://www.sciencedirect.com/science/article/abs/pii/S0277953619301121' target='_blank'>(Chakraborty and others, 2019)</a> or experiencing unreliable or intermittent potable water supplies <a href='https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0155043' target='_blank'>(White and others, 2016)</a>. For example, <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>Drakes and others (2024)</a> found special needs and disabled populations were associated with a higher likelihood of water insecure conditions in the Western United States. However, only two studies have measured the relationship between disability and water insecurity, and the limited research on the topic was conducted only in the municipal water-use sector. The map below shows the percent of disabled persons in each county. Counties with the greatest percent of disabled individuals, shown in dark blue, include Catron County, New Mexico; Mora County, New Mexico; and Kinney County, Texas.",
p3Title:"Disparidad en alquileres ",
paragraph6:"Placeholder text for now."
paragraph3:"A medida que aumenta el valor medio de los alquileres, la carencia de agua potable tiende a disminuir, lo que seguramente refleja un mayor acceso a recursos para poblaciones más ricas <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines y otros, 2023)</a>. Ahora bien, los que alquilan tienden a tener un mayor riesgo de pérdidas por los riesgos relacionados con el agua en comparación con los propietarios de viviendas. Después de un desastre natural, es más probable que los que alquilan se muden y menos probable que soliciten y reciban asistencia. Los que alquilan también suelen carecer de la autoridad y los medios para realizar cambios estructurales en la vivienda para la mitigación, respuesta o recuperación de riesgos, lo que aumenta los riesgos y la susceptibilidad de los que alquilan a la vez que se reduce su capacidad para hacer frente a los mismos <a href='https://doi.org/10.1016/j.ijdrr.2020.102010' target='_blank'>(Drakes y otros, 2021) </a>. The county-level map below displays median gross rent. Counties with the greatest median gross rent, shown in dark green, include San Mateo County, California; Santa Clara County, California; and Marin County, California.",
},
p4Title:"Poblaciones hispanas ",
paragraph4:"Las poblaciones hispanas corren un mayor riesgo de carencia de agua potable <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines y otros, 2023)</a>.En algunas áreas del país, los hogares hispanos tienen más probabilidades de experimentar una 'pobreza en plomería'<a href='https://www.pnas.org/doi/abs/10.1073/pnas.2007361117' target='_blank'>(Meehan y otros, 2020)</a>—particularmente en el oeste de los Estados Unidos.De hecho, las investigaciones muestran que, aunque los hogares con cabeza de familia hispano representan menos del 13% de todos los hogares de los EE. UU., representan casi el 17% de los hogares con plomería sin terminar <a href='https://doi.org/10.1080/24694452.2018.1530587' target='_blank'>(Deitz y Meehan, 2019)</a>. El mapa por condados a continuación muestra el porcentaje de poblaciones hispanas donde los condados con el mayor porcentaje de hispanos, en azul oscuro, incluyen los condados de Kenedy, de Starr y de Webb en Texas. Estas áreas se ven particularmente afectadas por la combinación de los desafíos de la carencia de agua potable y la pobreza de plomería.",
p5Title:"Poblaciones discapacitadas",
paragraph5:"Las poblaciones con necesidades especiales y discapacidades pueden vivir en lugares más expuestos a riesgos relacionados con el agua <a href='https://www.sciencedirect.com/science/article/abs/pii/S0277953619301121' target='_blank'>(Chakraborty y otros, 2019)</a>o experimentar un abastecimiento de agua potable poco fiable o intermitente <a href='https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0155043' target='_blank'>(White y otros, 2016)</a>. Por ejemplo, <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>Drakes y otros (2024)</a> encontraron que las poblaciones con necesidades especiales y discapacitadas estaban asociadas con una mayor probabilidad de condiciones de carencia de agua potable en el oeste de los Estados Unidos. Sin embargo, solo dos estudios han medido la relación entre la discapacidad y la falta de agua, y esta investigación sobre el tema se limitó solo al sector de aguas municipales. El mapa a continuación muestra el porcentaje de personas discapacitadas por condados, donde los condados con el mayor porcentaje de discapacitados, en azul oscuro, incluyen los condados de Catron y de Mora en Nuevo México y el condado de Kinney en Texas.",
},
metaAnalysisText:{
metaAnalysisText:{
title:"Metaanálisis del riesgo de la falta de agua potable",
title:"Metaanálisis del riesgo de la falta de agua potable",
paragraph1:`Los investigadores del programa de Impulsores Sociales y Económicos de USGS <a href="https://www.usgs.gov/data/literature-summary-indicators-water-vulnerability-western-us-2000-2022" target="blank">identificaron factores de riesgo social asociados con las condiciones de carencia de agua potable</a>. El equipo centró su análisis en estudios realizados entre 2000 y 2022 en los estados colindantes (los 48 estados inferiores) al oeste del río Misisipi. Los estados del oeste se enfrentan a una serie de desafíos de disponibilidad de agua, incluido el aumento del crecimiento de la población, la dependencia de aguas subterráneas y una escasez regular de precipitación (véase <a href='https://pubs.usgs.gov/circ/2005/circ1261/pdf/C1261.pdf' target="blank">Anderson y Woosley 2005 </a> para un análisis de la disponibilidad de agua en el oeste de los Estados Unidos).`,
paragraph1:`Los investigadores del programa de Impulsores Sociales y Económicos de USGS <a href="https://www.usgs.gov/data/literature-summary-indicators-water-vulnerability-western-us-2000-2022" target="blank">identificaron factores de riesgo social asociados con las condiciones de carencia de agua potable</a>. El equipo centró su análisis en estudios realizados entre 2000 y 2022 en los estados colindantes (los 48 estados inferiores) al oeste del río Misisipi. Los estados del oeste se enfrentan a una serie de desafíos de disponibilidad de agua, incluido el aumento del crecimiento de la población, la dependencia de aguas subterráneas y una escasez regular de precipitación (véase <a href='https://pubs.usgs.gov/circ/2005/circ1261/pdf/C1261.pdf' target="blank">Anderson y Woosley 2005 </a> para un análisis de la disponibilidad de agua en el oeste de los Estados Unidos).`,
<imgsrc="@/assets/images/avg_household_size_2022.png"alt="Choropleth map of average household size, of occupied housing units, at the county-level across the contiguous U.S.. The greatest average housing size were in Oglala Lakota County, South Dakota (5), Madison County, Idaho (3.9) and Todd County, South Dakota (3.8) (U.S. Census Bureau, 2022).">
<imgsrc="@/assets/images/avg_household_size_2022.png"alt="Choropleth map of average household size, of occupied housing units, at the county-level across the contiguous U.S.. The greatest average housing size were in Oglala Lakota County, South Dakota (5), Madison County, Idaho (3.9) and Todd County, South Dakota (3.8) (U.S. Census Bureau, 2022).">
<figcaption><spanclass="tooltip-group"><spanclass="tooltip-span">Choropleth map</span><spanid="choropleth-map-tooltip"class="tooltiptext">Type of map that displays divided geographical areas or regions that are coloured, shaded or patterned in relation to a data variable. This provides a way to visualise values over a geographical area, which can show variation or patterns across the displayed location.</span></span> of average household size, of occupied housing units, at the county-level across the contiguous U.S.. The greatest average housing size were in Oglala Lakota County, South Dakota (5), Madison County, Idaho (3.9) and Todd County, South Dakota (3.8) <ahref='https://www.census.gov/data/developers/data-sets/acs-5year.html'target='_blank'>(U.S. Census Bureau, 2022).</a></figcaption>
<figcaption><spanclass="tooltip-group"><spanclass="tooltip-span">Choropleth map</span><spanid="choropleth-map-tooltip"class="tooltiptext">Type of map that displays divided geographical areas or regions that are coloured, shaded or patterned in relation to a data variable. This provides a way to visualise values over a geographical area, which can show variation or patterns across the displayed location.</span></span> of average household size, of occupied housing units, at the county-level across the contiguous U.S.. The greatest average housing size were in Oglala Lakota County, South Dakota (5), Madison County, Idaho (3.9) and Todd County, South Dakota (3.8) <ahref='https://www.census.gov/data/developers/data-sets/acs-5year.html'target='_blank'>(U.S. Census Bureau, 2022).</a></figcaption>
<imgsrc="@/assets/images/perc_hispanic_census_2022.png"alt="Choropleth map of percent of Hispanic populations at the county-level across the contiguous U.S.. The greatest percent Hispanic were in Kenedy County, Texas (96.6%), Starr County, Texas (96.2%) and Webb County, Texas (95.4%) (U.S. Census Bureau, 2022).">
<imgsrc="@/assets/images/perc_hispanic_census_2022.png"alt="Choropleth map of percent of Hispanic populations at the county-level across the contiguous U.S.. The greatest percent Hispanic were in Kenedy County, Texas (96.6%), Starr County, Texas (96.2%) and Webb County, Texas (95.4%) (U.S. Census Bureau, 2022).">
<figcaption>Choropleth map of percent of Hispanic populations at the county-level across the contiguous U.S.. The greatest percent Hispanic were in Kenedy County, Texas (96.6%), Starr County, Texas (96.2%) and Webb County, Texas (95.4%) <ahref='https://www.census.gov/data/developers/data-sets/acs-5year.html'target='_blank'>(U.S. Census Bureau, 2022).</a></figcaption>
<figcaption>Choropleth map of percent of Hispanic populations at the county-level across the contiguous U.S.. The greatest percent Hispanic were in Kenedy County, Texas (96.6%), Starr County, Texas (96.2%) and Webb County, Texas (95.4%) <ahref='https://www.census.gov/data/developers/data-sets/acs-5year.html'target='_blank'>(U.S. Census Bureau, 2022).</a></figcaption>
<imgsrc="@/assets/images/perc_disabled_census_2022.png"alt="Choropleth map of percent with a disability of total civilian noninstitutionalized population at the county-level across the contiguous U.S.. The greatest percent disabled were in Catron County, New Mexico (41%), Mora County, New Mexico (34%) and Kinney County, Texas (34%) (U.S. Census Bureau, 2022).">
<imgsrc="@/assets/images/perc_disabled_census_2022.png"alt="Choropleth map of percent with a disability of total civilian noninstitutionalized population at the county-level across the contiguous U.S.. The greatest percent disabled were in Catron County, New Mexico (41%), Mora County, New Mexico (34%) and Kinney County, Texas (34%) (U.S. Census Bureau, 2022).">
<figcaption>Choropleth map of percent with a disability of total civilian noninstitutionalized population at the county-level across the contiguous U.S.. The greatest percent disabled were in Catron County, New Mexico (41%), Mora County, New Mexico (34%) and Kinney County, Texas (34%) <ahref='https://www.census.gov/data/developers/data-sets/acs-5year.html'target='_blank'>(U.S. Census Bureau, 2022).</a></figcaption>
<figcaption>Choropleth map of percent with a disability of total civilian noninstitutionalized population at the county-level across the contiguous U.S.. The greatest percent disabled were in Catron County, New Mexico (41%), Mora County, New Mexico (34%) and Kinney County, Texas (34%) <ahref='https://www.census.gov/data/developers/data-sets/acs-5year.html'target='_blank'>(U.S. Census Bureau, 2022).</a></figcaption>
<imgsrc="@/assets/images/med_income_census_2022.png"alt="Choropleth map of median household income in the past 12 months (in 2022 inflation-adjusted dollars) at the county-level across the contiguous U.S.. The greatest median incomes include Santa Clara County, California ($153,792), San Mateo County, California ($149,907) and Marin County, California ($142,019) (U.S. Census Bureau, 2022).">
<imgsrc="@/assets/images/med_income_census_2022.png"alt="Choropleth map of median household income in the past 12 months (in 2022 inflation-adjusted dollars) at the county-level across the contiguous U.S.. The greatest median incomes include Santa Clara County, California ($153,792), San Mateo County, California ($149,907) and Marin County, California ($142,019) (U.S. Census Bureau, 2022).">
<figcaption>Choropleth map of median household income in the past 12 months (in 2022 inflation-adjusted dollars) at the county-level across the contiguous U.S.. The greatest median incomes include Santa Clara County, California ($153,792), San Mateo County, California ($149,907) and Marin County, California ($142,019) <ahref='https://www.census.gov/data/developers/data-sets/acs-5year.html'target='_blank'>(U.S. Census Bureau, 2022).</a></figcaption>
<figcaption>Choropleth map of median household income in the past 12 months (in 2022 inflation-adjusted dollars) at the county-level across the contiguous U.S.. The greatest median incomes include Santa Clara County, California ($153,792), San Mateo County, California ($149,907) and Marin County, California ($142,019) <ahref='https://www.census.gov/data/developers/data-sets/acs-5year.html'target='_blank'>(U.S. Census Bureau, 2022).</a></figcaption>
<imgsrc="@/assets/images/median_rent_2022.png"alt="Choropleth map of median gross rent at the county-level across the contiguous U.S.. The greatest median gross rents include San Mateo County, California ($2,805), Santa Clara County, California ($2,719) and Marin County, California ($2,487) (U.S. Census Bureau, 2022)">
<imgsrc="@/assets/images/median_rent_2022.png"alt="Choropleth map of median gross rent at the county-level across the contiguous U.S.. The greatest median gross rents include San Mateo County, California ($2,805), Santa Clara County, California ($2,719) and Marin County, California ($2,487) (U.S. Census Bureau, 2022)">
<figcaption>Choropleth map of median gross rent at the county-level across the contiguous U.S.. The greatest median gross rents include San Mateo County, California ($2,805), Santa Clara County, California ($2,719) and Marin County, California ($2,487) <ahref='https://www.census.gov/data/developers/data-sets/acs-5year.html'target='_blank'>(U.S. Census Bureau, 2022).</a></figcaption>
<figcaption>Choropleth map of median gross rent at the county-level across the contiguous U.S.. The greatest median gross rents include San Mateo County, California ($2,805), Santa Clara County, California ($2,719) and Marin County, California ($2,487) <ahref='https://www.census.gov/data/developers/data-sets/acs-5year.html'target='_blank'>(U.S. Census Bureau, 2022).</a></figcaption>
