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Add category header and updates from Living Copy (#1084)
* Add category header (Indicator and Percentile) - add local styling - override accordion-content styles to push into parent container - intl copy - update snapshots * Add latest Living Copy - refactor dataset cards to allow for any styling in description, used in and responsible party - add percent for HS edu indicator - updates snapshots * Update copy from Living Copy doc -update snapshots * Add methodology to copy * Remove link from readme file based on md checker * Comment out certain markdown links from checker * Comment out markdown links that render in browser
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@ -40,9 +40,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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</h3>
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<div>
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Percent of a block group's population in households where household income is at or below
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200% of the federal poverty level.
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Percent of a census tract's population in households where household income is at or below
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200% of the federal poverty level.
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</div>
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<ul>
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<li>
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@ -54,7 +54,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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rel="noreferrer"
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target="_blank"
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>
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Census's American Community Survey.
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Census's American Community Survey
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</a>
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</li>
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<li>
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@ -79,12 +79,12 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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</h3>
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<div>
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Percent of agriculture value at risk from losses due to natural hazards. Calculated by dividing
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the agriculture value at risk in a census tract by the total agriculture value in that census
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tract. Fourteen natural hazards that have some link to climate change include: avalanche,
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coastal flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide,
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riverine flooding, strong wind, tornado, wildfire, and winter weather.
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Percent of agriculture value at risk from losses due to natural hazards. Calculated by dividing
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the agriculture value at risk in a census tract by the total agriculture value in that census
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tract. Fourteen natural hazards that have some link to climate change include: avalanche,
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coastal flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide,
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riverine flooding, strong wind, tornado, wildfire, and winter weather.
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</div>
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<ul>
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<li>
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@ -121,12 +121,12 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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</h3>
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<div>
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Percent of building value at risk from losses due to natural hazards. Calculated by dividing the
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building value at risk in a census tract by the total building value in that census tract.
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Fourteen natural hazards that have some link to climate change include: avalanche, coastal flooding,
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cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine flooding, strong
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wind, tornado, wildfire, and winter weather.
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Percent of building value at risk from losses due to natural hazards. Calculated by dividing the
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building value at risk in a census tract by the total building value in that census tract.
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Fourteen natural hazards that have some link to climate change include: avalanche,
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coastal flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide,
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riverine flooding, strong wind, tornado, wildfire, and winter weather.
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</div>
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<ul>
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<li>
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@ -163,19 +163,18 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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</h3>
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<div>
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Rate relative to the population in fatalities and injuries due to natural hazards each year.
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Fourteen natural hazards that have some link to climate change include: avalanche, coastal
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flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine
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flooding, strong wind, tornado, wildfire, and winter weather.
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Population loss is defined as the Spatial Hazard Events and Losses or National Centers
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for Environmental Information’s (NCEI) reported number of fatalities and injuries caused by the
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hazard occurrence. To combine fatalities and injuries for the computation of population loss value,
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an injury is counted as one-tenth (1/10) of a fatality. The NCEI Storm Events Database
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classifies injuries and fatalities as direct or indirect. Both direct and indirect injuries
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and fatalities are counted as population loss. This total number of injuries and fatalities
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is then divided by the population in the census tract to get a per-capita rate of population risk.
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Rate relative to the population in fatalities and injuries due to natural hazards each year.
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Fourteen natural hazards that have some link to climate change include: avalanche, coastal
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flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine
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flooding, strong wind, tornado, wildfire, and winter weather.
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Population loss is defined as the Spatial Hazard Events and Losses or National Centers
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for Environmental Information’s (NCEI) reported number of fatalities and injuries caused by the
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hazard occurrence. To combine fatalities and injuries for the computation of population loss value,
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an injury is counted as one-tenth (1/10) of a fatality. The NCEI Storm Events Database
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classifies injuries and fatalities as direct or indirect. Both direct and indirect injuries
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and fatalities are counted as population loss. This total number of injuries and fatalities
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is then divided by the population in the census tract to get a per-capita rate of population risk.
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</div>
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<ul>
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<li>
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@ -247,8 +246,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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PM2.5 in the air
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</h3>
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<div>
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Fine inhalable particles, with diameters that are generally
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2.5 micrometers and smaller.
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Fine inhalable particles, with diameters that are generally 2.5 micrometers and smaller.
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</div>
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<ul>
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<li>
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@ -260,8 +260,11 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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rel="noreferrer"
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target="_blank"
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>
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Environmental Protection Agency (EPA) Office of Air
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and Radiation (OAR) fusion of model and monitor data as compiled by EPA's EJSCREEN
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Environmental Protection Agency (EPA) Office of Air and Radiation (OAR) fusion of model and monitor
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data as compiled by EPA's EJSCREEN, sourced from EPA National Air Toxics Assessment (NATA), 2017
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U.S. Department of Transportation (DOT) traffic data
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</a>
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</li>
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<li>
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@ -285,7 +288,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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Diesel particulate matter exposure
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</h3>
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<div>
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Mixture of particles that is part of diesel exhaust in the air.
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Mixture of particles that is part of diesel exhaust in the air.
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</div>
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<ul>
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<li>
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@ -297,8 +302,10 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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rel="noreferrer"
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target="_blank"
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>
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Environmental Protection Agency (EPA) National Air Toxics Assessment (NATA)
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as compiled by EPA's EJSCREEN
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Environmental Protection Agency (EPA) National Air Toxics Assessment (NATA)
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as compiled by EPA's EJSCREEN
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</a>
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</li>
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<li>
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@ -322,8 +329,10 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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Traffic proximity and volume
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</h3>
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<div>
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Count of vehicles (average annual daily traffic) at major roads
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within 500 meters, divided by distance in meters (not km).
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Count of vehicles (average annual daily traffic) at major roads
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within 500 meters, divided by distance in meters (not km).
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</div>
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<ul>
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<li>
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@ -335,7 +344,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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rel="noreferrer"
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target="_blank"
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>
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Department of Transportation (DOT) traffic data as compiled by EPA's EJSCREEN
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Department of Transportation (DOT) traffic data as compiled by EPA's EJSCREEN
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</a>
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</li>
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<li>
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@ -360,9 +371,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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</h3>
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<div>
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The percent of households in a census tract that are both earning less than 80% of HUD Area Median
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Family Income by county and are paying greater than 30% of their income to housing costs.
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The percent of households in a census tract that are both earning less than 80% of HUD Area Median
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Family Income by county and are paying greater than 30% of their income to housing costs.
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</div>
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<ul>
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<li>
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@ -374,8 +385,10 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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rel="noreferrer"
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target="_blank"
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>
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Department of Housing & Urban Development’s
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(HUD) Comprehensive Housing Affordability Strategy dataset
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Department of Housing & Urban Development’s
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(HUD) Comprehensive Housing Affordability Strategy dataset
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</a>
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</li>
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<li>
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@ -400,8 +413,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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</h3>
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<div>
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Percent of housing units built pre-1960, used as an indicator of potential lead paint exposure in
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tracts with median home values less than 90th percentile
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Percent of housing units built pre-1960, used as an indicator of potential lead paint exposure in
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tracts with median home values less than 90th percentile
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</div>
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<ul>
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<li>
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@ -437,7 +451,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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Low median home value
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</h3>
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<div>
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Median home value of owner-occupied housing units in the census tract.
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Median home value of owner-occupied housing units in the census tract.
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</div>
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<ul>
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<li>
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</h3>
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<div>
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Count of hazardous waste facilities (Treatment, Storage, and Disposal Facilities and Large
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Quantity Generators) within 5 km (or nearest beyond 5 km), each divided by distance in kilometers.
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Count of hazardous waste facilities (Treatment, Storage, and Disposal Facilities and Large
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Quantity Generators) within 5 km (or nearest beyond 5 km), each divided by distance in kilometers.
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</div>
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<ul>
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<li>
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target="_blank"
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>
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Environmental Protection Agency (EPA) Treatment Storage, and Disposal Facilities
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(TSDF) data calculated from EPA RCRA info database as compiled by EPA’s EJSCREEN
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Environmental Protection Agency (EPA) Treatment Storage, and Disposal Facilities
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(TSDF) data calculated from EPA RCRA info database as compiled by EPA’s EJSCREEN
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</a>
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</li>
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<li>
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<span>
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Date range:
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</span>
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2015-2020
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2020
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</li>
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<li>
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<span>
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</h3>
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<div>
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Count of proposed or listed NPL - also known as superfund - sites within 5 km (or nearest one
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beyond 5 km), each divided by distance in kilometers.
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Count of proposed or listed NPL - also known as superfund - sites within 5 km (or nearest one
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beyond 5 km), each divided by distance in kilometers.
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</div>
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<ul>
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<li>
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rel="noreferrer"
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target="_blank"
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>
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Environmental Protection Agency (EPA) CERCLIS database as compiled by EPA’s EJSCREEN
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Environmental Protection Agency (EPA) CERCLIS database as compiled by EPA’s EJSCREEN
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</a>
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</li>
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<li>
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@ -554,8 +573,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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</h3>
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<div>
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Count of RMP (potential chemical accident management plan) facilities within 5 km (or nearest
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one beyond 5 km), each divided by distance in kilometers.
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Count of RMP (potential chemical accident management plan) facilities within 5 km (or nearest
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one beyond 5 km), each divided by distance in kilometers.
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</div>
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<ul>
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<li>
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@ -567,7 +587,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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rel="noreferrer"
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target="_blank"
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>
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Environmental Protection Agency (EPA) RMP database as compiled by EPA’s EJSCREEN
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Environmental Protection Agency (EPA) RMP database as compiled by EPA’s EJSCREEN
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</a>
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</li>
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<li>
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<span>
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Used in:
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</span>
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Affordable and sustainable housing methodology
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Reduction and remediation of legacy pollution methodology
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</li>
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</ul>
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</div>
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@ -591,8 +613,10 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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Wastewater discharge
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</h3>
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<div>
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Risk-Screening Environmental Indicators (RSEI) modeled Toxic Concentrations at
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stream segments within 500 meters, divided by distance in kilometers (km).
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Risk-Screening Environmental Indicators (RSEI) modeled Toxic Concentrations at
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stream segments within 500 meters, divided by distance in kilometers (km).
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</div>
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<ul>
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<li>
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rel="noreferrer"
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target="_blank"
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>
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Environmental Protection Agency (EPA) Risk-Screening
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Environmental Indicators (RSEI) Model as compiled by EPA's EJSCREEN
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Environmental Protection Agency (EPA) Risk-Screening
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Environmental Indicators (RSEI) Model as compiled by EPA's EJSCREEN
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</a>
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</li>
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<li>
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@ -629,10 +655,11 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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Asthma
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</h3>
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<div>
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Weighted percent of people who answer “yes” both
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to both of the following questions: “Have you ever been told by a doctor,
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nurse, or other health professional that you have asthma?” and the question
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“Do you still have asthma?”
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Weighted percent of people who answer “yes” to both of the following questions: “Have you ever
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been told by a doctor, nurse, or other health professional that you have asthma?” and the question
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“Do you still have asthma?”
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</div>
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<ul>
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<li>
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rel="noreferrer"
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target="_blank"
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>
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Centers for Disease Control and Prevention (CDC) PLACES
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Centers for Disease Control and Prevention (CDC) PLACES
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</a>
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</li>
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<li>
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Diabetes
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</h3>
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<div>
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Weighted percent of people ages 18 years and older who report having ever been
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told by a doctor, nurse, or other health professionals that they have
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diabetes other than diabetes during pregnancy.
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Weighted percent of people ages 18 years and older who report having ever been
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told by a doctor, nurse, or other health professionals that they have
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diabetes other than diabetes during pregnancy.
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</div>
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<ul>
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<li>
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@ -682,7 +713,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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rel="noreferrer"
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target="_blank"
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>
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Centers for Disease Control and Prevention (CDC) PLACES
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Centers for Disease Control and Prevention (CDC) PLACES
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</a>
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</li>
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<li>
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|
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@ -706,9 +739,11 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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Heart disease
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</h3>
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<div>
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Weighted percent of people ages 18 years and older who report ever having been told
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by a doctor, nurse, or other health professionals that they had angina or
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coronary heart disease.
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Weighted percent of people ages 18 years and older who report ever having been told
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by a doctor, nurse, or other health professionals that they had angina or
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coronary heart disease.
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</div>
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<ul>
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<li>
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rel="noreferrer"
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target="_blank"
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>
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Centers for Disease Control and Prevention (CDC) PLACES
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Centers for Disease Control and Prevention (CDC) PLACES
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</a>
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</li>
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<li>
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|
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@ -745,13 +782,22 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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</h3>
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<div>
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Average number of years of life a person who has attained a given age can expect to live.
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Note: Unlike most of the other datasets, high values of this indicator indicate low burdens.
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For percentile calculations, the percentile is calculated in reverse order, so that the tract with
|
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the highest median income relative to area median income (lowest burden on this measure) is at the
|
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0th percentile, and the tract with the lowest median income relative to area median income
|
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(highest burden on this measure) is at the 100th percentile.
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Average number of years of life a person who has attained a given age can expect to live.
|
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<p>
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<strong>
|
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Note:
|
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</strong>
|
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|
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Unlike most of the other datasets, high values of this indicator indicate low burdens.
|
||||
For percentile calculations, the percentile is calculated in reverse order, so that the tract with
|
||||
the highest median income relative to area median income (lowest burden on this measure) is at the
|
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0th percentile, and the tract with the lowest median income relative to area median income
|
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(highest burden on this measure) is at the 100th percentile.
|
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|
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</p>
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|
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|
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</div>
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<ul>
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<li>
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|
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@ -763,7 +809,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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rel="noreferrer"
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target="_blank"
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>
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||||
CDC’s U.S. Small-area Life Expectancy Estimates Project (USALEEP)
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||||
|
||||
CDC’s U.S. Small-area Life Expectancy Estimates Project (USALEEP)
|
||||
|
||||
</a>
|
||||
</li>
|
||||
<li>
|
||||
|
|
@ -787,7 +835,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
|
|||
Low median Income
|
||||
</h3>
|
||||
<div>
|
||||
Median income of the census tract calculated as a percent of the area’s median income.
|
||||
|
||||
Median income of the census tract calculated as a percent of the area’s median income.
|
||||
|
||||
</div>
|
||||
<ul>
|
||||
<li>
|
||||
|
|
@ -812,7 +862,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
|
|||
<span>
|
||||
Used in:
|
||||
</span>
|
||||
Training and workforce development
|
||||
Training and workforce development methodology
|
||||
</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
|
@ -824,8 +874,8 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
|
|||
</h3>
|
||||
<div>
|
||||
|
||||
The percent of limited speaking households, which are households where no one over age 14 speaks English well.
|
||||
|
||||
The percent of limited speaking households, which are households where no one over age 14 speaks English well.
|
||||
|
||||
</div>
|
||||
<ul>
|
||||
<li>
|
||||
|
|
@ -850,7 +900,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
|
|||
<span>
|
||||
Used in:
|
||||
</span>
|
||||
Training and workforce development
|
||||
Training and workforce development methodology
|
||||
</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
|
@ -861,7 +911,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
|
|||
Unemployment
|
||||
</h3>
|
||||
<div>
|
||||
Number of unemployed people as a percentage of the civilian labor force
|
||||
|
||||
Number of unemployed people as a percentage of the civilian labor force
|
||||
|
||||
</div>
|
||||
<ul>
|
||||
<li>
|
||||
|
|
@ -886,7 +938,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
|
|||
<span>
|
||||
Used in:
|
||||
</span>
|
||||
Training and workforce development
|
||||
Training and workforce development methodology
|
||||
</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
|
@ -897,7 +949,10 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
|
|||
Poverty
|
||||
</h3>
|
||||
<div>
|
||||
Percent of a tract's population in households where the household income is at or below 100% of the federal poverty level.
|
||||
|
||||
Percent of a tract's population in households where the household income is at or below 100% of
|
||||
the federal poverty level.
|
||||
|
||||
</div>
|
||||
<ul>
|
||||
<li>
|
||||
|
|
@ -922,7 +977,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
|
|||
<span>
|
||||
Used in:
|
||||
</span>
|
||||
Training and workforce development
|
||||
Training and workforce development methodology
|
||||
</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
|
@ -933,8 +988,10 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
|
|||
High school degree achievement rate
|
||||
</h3>
|
||||
<div>
|
||||
Percent of people ages 25 years or older in a census tract whose
|
||||
education level is less than a high school diploma.
|
||||
|
||||
Percent (not percentile) of people ages 25 years or older in a census tract whose
|
||||
education level is less than a high school diploma.
|
||||
|
||||
</div>
|
||||
<ul>
|
||||
<li>
|
||||
|
|
@ -959,7 +1016,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
|
|||
<span>
|
||||
Used in:
|
||||
</span>
|
||||
Training and workforce development
|
||||
Training and workforce development methodology
|
||||
</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue