publicdata/j40-cejst-2
2
0
Fork 0
mirror of https://github.com/DOI-DO/j40-cejst-2.git synced 2025-10-22 05:33:52 -07:00
Code Issues Projects Releases Packages Wiki Activity Actions

Add consistency copy changes from CEQ (#1407)

Browse source 
* Add consistency copy from CEQ

- update snapshots

* modify note on Tribal Nations link
This commit is contained in:
Vim 2022-03-16 11:03:26 -04:00 • committed by GitHub
commit eac699a91b
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
14 changed files with 97 additions and 91 deletions
Download patch file Download diff file Expand all files Collapse all files

2
client/src/pages/__snapshots__/contact.test.tsx.snap
View file

@ -334,7 +334,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
<p>
To provide feedback about a specific census tract, either select the send feedback button after
finding a tract on the
selecting a census tract on the
<a
href="/en/cejst"
>

6
client/src/pages/__snapshots__/index.test.tsx.snap
View file

@ -346,7 +346,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
<a
class="usa-link usa-link--external"
data-cy=""
href="https://www.whitehouse.gov/briefing-room/presidential-actions/2021/01/27/executive-order-on-tackling-the-climate-crisis-at-home-and-abroad/"
href="https://www.federalregister.gov/documents/2021/02/01/2021-02177/tackling-the-climate-crisis-at-home-and-abroad#:~:text=Sec.%20223.%20Justice40,40-percent%20goal."
rel="noreferrer"
target="_blank"
>
@ -360,7 +360,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
to create a Climate and Economic Justice Screening Tool. The purpose of the tool is to help
Federal agencies identify disadvantaged communities that are marginalized, underserved, and
overburdened by pollution. The current version of the tool provides socioeconomic, environmental,
health and climate information to inform decisions that may affect these communities. The
and climate information to inform decisions that may affect these communities. The
tool identifies disadvantaged communities through publicly-available, nationally-consistent datasets.
</p>
@ -423,7 +423,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
<a
class="usa-link usa-link--external"
data-cy=""
href="https://www.whitehouse.gov/briefing-room/presidential-actions/2021/01/27/executive-order-on-tackling-the-climate-crisis-at-home-and-abroad/"
href="https://www.federalregister.gov/documents/2021/02/01/2021-02177/tackling-the-climate-crisis-at-home-and-abroad#:~:text=Sec.%20223.%20Justice40,40-percent%20goal."
rel="noreferrer"
target="_blank"
>

50
client/src/pages/__snapshots__/methodology.test.tsx.snap
View file

@ -320,7 +320,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
which publicly-available and nationally-consistent datasets can be consistently displayed on the
tool. Census tract geographical boundaries are determined by the U.S. Census Bureau once every ten
years. This tool utilizes the census tract boundaries from 2010 because they match the datasets used
in the tool. The U.S. Census Bureau will update these tract boundaries in 2020.
in the tool. The U.S. Census Bureau will update these census tract boundaries in 2020.
</p>
</section>
@ -337,7 +337,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
<span>
IF
</span>
the tract is above the threshold for one or more environmental or climate indicators
the census tract is above the threshold for one or more environmental or climate indicators
</p>
<p>
@ -346,7 +346,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
<span>
AND
</span>
the tract is above the threshold for the socioeconomic indicators
the census tract is above the threshold for the socioeconomic indicators
</p>
</section>
@ -355,7 +355,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
Communities are identified as disadvantaged by the current version of the tool for the purposes of
the Justice40 Initiative if they are located in census tracts that are at or above the
combined thresholds in one or more of eight categories of criteria below.
thresholds in one or more of eight categories of criteria below.
</p>
</section>
@ -372,7 +372,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
<div>
<div>
<div>
Draft communities list v0.1 (111MB)
Draft communities list v0.1 (52MB unzipped)
</div>
<div>
@ -704,13 +704,13 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
<a
href="#prox-npl"
>
proximity to NPL sites
proximity to National Priorities List (NPL) sites
</a>
OR
<a
href="#prox-rmp"
>
proximity to RMP facilities
proximity to Risk Management Plan (RMP) facilities
</a>
@ -883,7 +883,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
>
low median income
</a>
as a percent of area median income OR
as a percentage of area median income OR
<a
href="#ling-iso"
@ -1082,7 +1082,8 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
</h3>
<div>
Percent of agriculture value at risk from losses due to natural hazards that have some link
Percent of agriculture value at risk from losses due to fourteen types of
natural hazards that have some link
to climate change: avalanche, coastal flooding,
cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine flooding, strong
wind, tornado, wildfire, and winter weather. Rate calculated by dividing the agriculture value at risk in
@ -1133,7 +1134,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
</h3>
<div>
Percent of building value at risk from losses due to natural hazards
Percent of building value at risk from losses due to fourteen types of natural hazards
that have some link to climate change: avalanche, coastal flooding,
cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine flooding, strong
wind, tornado, wildfire, and winter weather. Rate calculated by dividing the building value at risk in
@ -1184,7 +1185,8 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
</h3>
<div>
Rate relative to the population in fatalities and injuries due to natural hazards each year
Rate relative to the population of fatalities and injuries due to fourteen types of
natural hazards each year
that have some link to climate change: 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
@ -1240,7 +1242,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
Energy burden
</h3>
<div>
Average annual energy cost per household ($) divided by household average income.
Average annual energy cost per household ($) divided by average household income.
</div>
<ul>
<li>
@ -1484,7 +1486,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
<div>
Percent of housing units built pre-1960, used as an indicator of potential lead paint exposure in
tracts with median home values less than the 90th percentile.
census tracts with median home values less than the 90th percentile.
</div>
<ul>
@ -1931,10 +1933,10 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
Unlike most of the other datasets, high values of this data indicate low burdens. For
percentile calculations of burden, the percentile is calculated in reverse order, so that the
tract with the highest life expectancy relative to area life expectancy (lowest burden on this
measure) is at the 0th percentile, and the tract with the lowest life expectancy relative to
area life expectancy (highest burden on this measure) is at the 100th percentile. Tracts with
the highest number have the lowest life expectancy.
census tract with the highest life expectancy relative to area life expectancy (lowest burden
on this measure) is at the 0th percentile, and the census tract with the lowest life
expectancy relative to area life expectancy (highest burden on this measure) is at the
100th percentile. Census tracts with the highest number have the lowest life expectancy.
</p>
@ -1993,9 +1995,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
Unlike most of the other datasets, high values of this data indicate low burdens. For
percentile calculations of burden, 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. Tracts with
census tract with the highest median income relative to area median income (lowest burden on this
measure) is at the 0th percentile, and the census tract with the lowest median income relative to
area median income (highest burden on this measure) is at the 100th percentile. Census tracts with
the highest number have the lowest median income.
</p>
@ -2063,11 +2065,11 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
id="ling-iso"
>
<h3>
Linguistic Isolation
Linguistic isolation
</h3>
<div>
Percent of households, which are households, where no one over the age fourteen speaks English well.
Percent of households where no one over the age 14 speaks English well.
</div>
<ul>
@ -2114,7 +2116,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
</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>
@ -2182,7 +2184,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
</h3>
<div>
Percent of a tract's population in households where the household income is at or below 100% of
Percent of a census tract's population in households where the household income is at or below 100% of
the Federal poverty level.
</div>