Make latest copy changes from Living Copy (#1055)

* Make latest copy changes

- update snapshots

* Update cypress test on feedback link

- update snapshot

* Update side panel and copy

- update snapshots

* Make 2nd EO link open in new tab

* Add latest changes from Living copy

* Add back HS indicator to map

* Add "X of Y thresholds exceed" to side panel

- update snapshots

* Update with latest copy

* Update to latest copy

- make BETA pill in logo bold
- correct exceed to exceeded
- update snapshots
- update page title to Meth & data

* Update total indicators to 21

* Update snapshot
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@ -36,7 +36,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
id="low-income"
>
<h3>
Low Income
Low income
</h3>
<div>
@ -75,11 +75,15 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
id="exp-agr-loss-rate"
>
<h3>
Expected Agriculture Loss Rate
Expected agriculture loss rate
</h3>
<div>
Economic loss rate to agriculture resulting from natural hazards each year.
Percent of agriculture value at risk from losses due to natural hazards. Calculated by dividing
the agriculture value at risk in a census tract by the total agriculture value in that census
tract. Fourteen natural hazards that have some link to climate change include: avalanche,
coastal flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide,
riverine flooding, strong wind, tornado, wildfire, and winter weather.
</div>
<ul>
@ -113,11 +117,15 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
id="exp-bld-loss-rate"
>
<h3>
Expected Building Loss Rate
Expected building loss rate
</h3>
<div>
Economic loss rate to buildings resulting from natural hazards each year.
Percent of building value at risk from losses due to natural hazards. Calculated by dividing the
building value at risk in a census tract by the total building value in that census tract.
Fourteen natural hazards that have some link to climate change include: avalanche, coastal flooding,
cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine flooding, strong
wind, tornado, wildfire, and winter weather.
</div>
<ul>
@ -151,18 +159,22 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
id="exp-pop-loss-rate"
>
<h3>
Expected Population Loss Rate
Expected population loss rate
</h3>
<div>
Rate relative to the population in fatalities and injuries resulting from natural hazards each
year. Population loss is defined as the Spatial Hazard Events and Losses or National Centers
for Environmental Informations reported number of fatalities and injuries caused by the
hazard occurrence. To combine fatalities and injuries for the computation of population loss value,
an injury is counted as one-tenth (1/10) of a fatality. The NCEI Storm Events Database
classifies injuries and fatalities as direct or indirect. Both direct and indirect injuries
and fatalities are counted as population loss. This total number of injuries and fatalities is
then divided by the population in the census tract to get a per-capita rate of population risk.
Rate relative to the population in fatalities and injuries due to natural hazards each year.
Fourteen natural hazards that have some link to climate change include: avalanche, coastal
flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine
flooding, strong wind, tornado, wildfire, and winter weather.
Population loss is defined as the Spatial Hazard Events and Losses or National Centers
for Environmental Informations (NCEI) reported number of fatalities and injuries caused by the
hazard occurrence. To combine fatalities and injuries for the computation of population loss value,
an injury is counted as one-tenth (1/10) of a fatality. The NCEI Storm Events Database
classifies injuries and fatalities as direct or indirect. Both direct and indirect injuries
and fatalities are counted as population loss. This total number of injuries and fatalities
is then divided by the population in the census tract to get a per-capita rate of population risk.
</div>
<ul>
@ -196,7 +208,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
id="energy-burden"
>
<h3>
Energy burden
Energy cost burden
</h3>
<div>
Average annual energy cost ($) divided by household income.
@ -232,7 +244,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
id="pm-25"
>
<h3>
PM2.5
PM2.5 in the air
</h3>
<div>
Fine inhalable particles, with diameters that are generally
@ -270,7 +282,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
id="diesel-pm"
>
<h3>
Diesel particulate matter
Diesel particulate matter exposure
</h3>
<div>
Mixture of particles that is part of diesel exhaust in the air.
@ -347,8 +359,10 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
Housing cost burden
</h3>
<div>
Households that are low income and spend more than 30% of their
income to housing costs.
The percent of households in a census tract that are both earning less than 80% of HUD Area Median
Family Income by county and are paying greater than 30% of their income to housing costs.
</div>
<ul>
<li>
@ -385,8 +399,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
Lead paint
</h3>
<div>
Percent of housing units built pre-1960, used as an
indicator of potential lead paint exposure in homes.
Percent of housing units built pre-1960, used as an indicator of potential lead paint exposure in
tracts with median home values less than 90th percentile
</div>
<ul>
<li>
@ -419,10 +434,10 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
id="median-home"
>
<h3>
Median home value
Low median home value
</h3>
<div>
Median home value of owner-occupied housing units in the area.
Median home value of owner-occupied housing units in the census tract.
</div>
<ul>
<li>
@ -459,9 +474,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
</h3>
<div>
Count of hazardous waste facilities (Treatment, Storage, and Disposal Facilities and Large
Quantity Generators) within 5 km (or nearest beyond 5 km), each divided by distance in kilometers.
Count of hazardous waste facilities (Treatment, Storage, and Disposal Facilities and Large
Quantity Generators) within 5 km (or nearest beyond 5 km), each divided by distance in kilometers.
</div>
<ul>
<li>
@ -469,13 +484,14 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
Responsible Party:
</span>
<a
href="https://www.census.gov/programs-surveys/acs"
href="https://enviro.epa.gov/facts/rcrainfo/search.html"
rel="noreferrer"
target="_blank"
>
Environmental Protection Agency (EPA) TSDF data calculated from EPA RCRAinfo database
as compiled by EPAs EJSCREEN
Environmental Protection Agency (EPA) Treatment Storage, and Disposal Facilities
(TSDF) data calculated from EPA RCRA info database as compiled by EPAs EJSCREEN
</a>
</li>
<li>
@ -496,7 +512,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
id="prox-npl"
>
<h3>
Proximity to National Priorities List (NPL) Sites
Proximity to National Priorities List (NPL) sites
</h3>
<div>
@ -534,7 +550,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
id="prox-rmp"
>
<h3>
Proximity to Risk Management Plan (RMP) Sites
Proximity to Risk Management Plan (RMP) facilities
</h3>
<div>
@ -613,7 +629,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
Asthma
</h3>
<div>
Weighted number of respondents people who answer “yes” both
Weighted percent of people who answer “yes” both
to both of the following questions: “Have you ever been told by a doctor,
nurse, or other health professional that you have asthma?” and the question
“Do you still have asthma?”
@ -652,7 +668,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
Diabetes
</h3>
<div>
People ages 18 years and older who report having ever been
Weighted percent of people ages 18 years and older who report having ever been
told by a doctor, nurse, or other health professionals that they have
diabetes other than diabetes during pregnancy.
</div>
@ -690,7 +706,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
Heart disease
</h3>
<div>
People ages 18 years and older who report ever having been told
Weighted percent of people ages 18 years and older who report ever having been told
by a doctor, nurse, or other health professionals that they had angina or
coronary heart disease.
</div>
@ -728,7 +744,14 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
Low life expectancy
</h3>
<div>
Average number of years of life a person who has attained a given age can expect to live.
Average number of years of life a person who has attained a given age can expect to live.
Note: 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
0th percentile, and the tract with the lowest median income relative to area median income
(highest burden on this measure) is at the 100th percentile.
</div>
<ul>
<li>
@ -758,7 +781,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
</ul>
</div>
<div
id="median-income"
id="low-med-inc"
>
<h3>
Low median Income
@ -800,8 +823,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
Linguistic Isolation
</h3>
<div>
Households in which no one age 14 and over speaks English only or also speaks
a language other than English
The percent of limited speaking households, which are households where no one over age 14 speaks English well.
</div>
<ul>
<li>