Add consistency copy changes from CEQ (#1407)

* Add consistency copy from CEQ

- update snapshots

* modify note on Tribal Nations link
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14 changed files with 97 additions and 91 deletions

View file

@ -57,7 +57,7 @@ exports[`rendering of the AreaDetail checks if indicators for ISLAND AREAS are p
</div>
<a
href="
mailto:Screeningtool-Support@omb.eop.gov?subject=Census tract ID 98729374234, N/A, N/A&body=Please provide feedback about this census tract, including about the datasets, the data categories provided for this tract, the communities who live in this tract, and anything else relevant that CEQ should know about this tract.
mailto:Screeningtool-Support@omb.eop.gov?subject=Census tract ID 98729374234, N/A, N/A&body=Please provide feedback about this census tract, including about the datasets, the data categories provided for this census tract, the communities who live in this census tract, and anything else relevant that CEQ should know about this census tract.
"
rel="noreferrer"
@ -259,7 +259,7 @@ exports[`rendering of the AreaDetail checks if indicators for NATION is present
</div>
<a
href="
mailto:Screeningtool-Support@omb.eop.gov?subject=Census tract ID 98729374234, N/A, N/A&body=Please provide feedback about this census tract, including about the datasets, the data categories provided for this tract, the communities who live in this tract, and anything else relevant that CEQ should know about this tract.
mailto:Screeningtool-Support@omb.eop.gov?subject=Census tract ID 98729374234, N/A, N/A&body=Please provide feedback about this census tract, including about the datasets, the data categories provided for this census tract, the communities who live in this census tract, and anything else relevant that CEQ should know about this census tract.
"
rel="noreferrer"
@ -1357,7 +1357,7 @@ exports[`rendering of the AreaDetail checks if indicators for PUERTO RICO are pr
</div>
<a
href="
mailto:Screeningtool-Support@omb.eop.gov?subject=Census tract ID 98729374234, N/A, N/A&body=Please provide feedback about this census tract, including about the datasets, the data categories provided for this tract, the communities who live in this tract, and anything else relevant that CEQ should know about this tract.
mailto:Screeningtool-Support@omb.eop.gov?subject=Census tract ID 98729374234, N/A, N/A&body=Please provide feedback about this census tract, including about the datasets, the data categories provided for this census tract, the communities who live in this census tract, and anything else relevant that CEQ should know about this census tract.
"
rel="noreferrer"

View file

@ -294,13 +294,13 @@ exports[`rendering of the Categories checks if component renders 1`] = `
<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>
@ -473,7 +473,7 @@ exports[`rendering of the Categories checks if component renders 1`] = `
>
low median income
</a>
as a percent of area median income OR
as a percentage of area median income OR
<a
href="#ling-iso"

View file

@ -152,7 +152,8 @@ 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
@ -203,7 +204,7 @@ 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
@ -254,7 +255,8 @@ 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
@ -310,7 +312,7 @@ 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>
@ -554,7 +556,7 @@ 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>
@ -1001,10 +1003,10 @@ 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>
@ -1063,9 +1065,9 @@ 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>
@ -1133,11 +1135,11 @@ 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>
@ -1184,7 +1186,7 @@ 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>
@ -1252,7 +1254,7 @@ 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>

View file

@ -30,7 +30,7 @@ exports[`rendering of the HowYouCanHelp checks if various text fields are visibl
.
</li>
<li>
CEQ has published a Request for Information on
Respond to our Request for Information on
<a
class="usa-link usa-link--external"
data-cy=""

View file

@ -19,7 +19,7 @@ exports[`rendering of the MapLegend checks if snapshots have changed 1`] = `
>
Communities identified as disadvantaged by the tool are those that are marginalized, underserved,
and overburdened by pollution. These communities are at or above the combined thresholds in one or
and overburdened by pollution. These communities are at or above the thresholds in one or
more of eight categories of criteria.
</p>

View file

@ -15,7 +15,7 @@ exports[`rendering of the MethodologyFormula checks if component renders 1`] = `
<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>
@ -24,7 +24,7 @@ exports[`rendering of the MethodologyFormula checks if component renders 1`] = `
<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>

View file

@ -22,7 +22,7 @@ exports[`simulate app starting up, no click on map should match the snapshot of
</div>
<cite>
A census tract is generally between 1,200 and 8,000 people, with an average size of 4,000 people.
A census tract is generally between 1,200 to 8,000 people, with an average size of 4,000 people.
Census tracts are small, relatively permanent subdivisions of a county defined by the
U.S. Census Bureau and usually cover a contiguous area. The census tract level currently represents the
smallest geographical unit for which publicly-available and nationally-consistent datasets can

View file

@ -4,7 +4,7 @@ import {FormattedMessage} from 'gatsby-plugin-intl';
import LinkTypeWrapper from '../../components/LinkTypeWrapper';
export const EXEC_ORDER_LINK = 'https://www.whitehouse.gov/briefing-room/presidential-actions/2021/01/27/executive-order-on-tackling-the-climate-crisis-at-home-and-abroad/';
export const EXEC_ORDER_LINK = '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.';
export const PAGE = defineMessages({
TILE: {
@ -57,7 +57,7 @@ export const HEADING_1 = {
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.
`}
values={{

View file

@ -41,7 +41,7 @@ export const CENSUS_TRACT_FEEDBACK = {
id={'contact.page.census.tract.feedback.para1'}
defaultMessage={`
To provide feedback about a specific census tract, either select the send feedback button after
finding a tract on the {exploreLink} page or use the email address provided above. Please
selecting a census tract on the {exploreLink} page or use the email address provided above. Please
include the census tract ID, county, and state or territory information, in addition to your feedback.
`}
description={'census tract feedback section'}

View file

@ -23,8 +23,8 @@ export const PAGE_INTRO = defineMessages({
export const PAGE_DESCRIPTION = <FormattedMessage
id={'exploreTool.page.description'}
defaultMessage={`
Use the map to see communities that are disadvantaged. The map uses
publicly-available, nationally-consistent, datasets. Learn more about
Use the map to see communities that are identified as disadvantaged. The map uses
publicly-available, nationally-consistent datasets. Learn more about
the methodology and datasets that were used to identify disavantaged communities
in the current version of the tool on the {methodologyLink} page.
`}
@ -45,7 +45,7 @@ export const LEGEND = defineMessages({
id: 'legend.info.threshold.label',
defaultMessage: `
Communities identified as disadvantaged by the tool are those that are marginalized, underserved,
and overburdened by pollution. These communities are at or above the combined thresholds in one or
and overburdened by pollution. These communities are at or above the thresholds in one or
more of eight categories of criteria.
`,
description: 'the label of the threshold community legend',
@ -168,7 +168,7 @@ export const SIDE_PANEL_INITIAL_STATE = defineMessages({
CBG_DEFINITION: {
id: 'mapIntro.censusBlockGroupDefinition',
defaultMessage: `
A census tract is generally between 1,200 and 8,000 people, with an average size of 4,000 people.
A census tract is generally between 1,200 to 8,000 people, with an average size of 4,000 people.
Census tracts are small, relatively permanent subdivisions of a county defined by the
U.S. Census Bureau and usually cover a contiguous area. The census tract level currently represents the
smallest geographical unit for which publicly-available and nationally-consistent datasets can
@ -246,7 +246,7 @@ export const SEND_FEEDBACK = defineMessages({
EMAIL_BODY: {
id: 'areaDetail.categorization.send.feedback.email.body',
// eslint-disable-next-line max-len
defaultMessage: `Please provide feedback about this census tract, including about the datasets, the data categories provided for this tract, the communities who live in this tract, and anything else relevant that CEQ should know about this tract.
defaultMessage: `Please provide feedback about this census tract, including about the datasets, the data categories provided for this census tract, the communities who live in this census tract, and anything else relevant that CEQ should know about this census tract.
`,
description: 'link to send feedback',
},
@ -649,7 +649,7 @@ export const NOTE_ON_TERRITORIES = {
PARA_2: <FormattedMessage
id={'explore.page.note.on.territories.para.2'}
defaultMessage={`
For Puerto Rico, the Census American Community Survey data from 2015-2019 are used for higher
For Puerto Rico, the Census Bureaus American Community Survey data from 2015-2019 are used for higher
ed enrollment rate and all the other fields in the Training and Workforce Development category
to identify disadvantaged communities. Data in the other categories are unavailable at this
time.
@ -690,7 +690,7 @@ export const NOTE_ON_TRIBAL_NATIONS = {
that data is available (see our {dataMethLink} page for more information). CEQ is engaging
in consultation and coordination with Tribal Nations on the beta version of the tool to provide
Tribal Nations with meaningful opportunities for input, consistent with CEQs {actionPlanTribalNation},
{bidenMemoNat2Nat}, and {coordinateTribal}.
{bidenMemoNat2Nat}, and Executive Order 13175 on {coordinateTribal}.
`}
description={`tribal nations paragraph 1`}
values={{
@ -713,7 +713,7 @@ export const NOTE_ON_TRIBAL_NATIONS = {
/>,
coordinateTribal: <LinkTypeWrapper
linkText= {`
Coordination with Indian Tribal Governments
Consulation and Coordination With Indian Tribal Governments
`}
internal= {false}
url= {`
@ -763,7 +763,7 @@ export const HOW_YOU_CAN_HELP_LIST_ITEMS = {
LIST_ITEM_3: <FormattedMessage
id={'youCanHelpInfoText.list.item.3'}
description={'share your feedback'}
defaultMessage={`CEQ has published a Request for Information on {federalRegisterLink}.`}
defaultMessage={`Respond to our Request for Information on {federalRegisterLink}.`}
values={{
federalRegisterLink:
<LinkTypeWrapper

View file

@ -22,7 +22,7 @@ export const PAGE = defineMessages({
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.
`,
description: 'methodology page paragraph',
},
@ -31,7 +31,7 @@ export const PAGE = defineMessages({
defaultMessage: `
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.
`,
description: 'methodology page explanation of the categories',
},
@ -54,7 +54,7 @@ export const FORMULA = {
IF: <FormattedMessage
id={'methodology.page.formula.first'}
defaultMessage={ `
{if} the tract is above the threshold for one or more environmental or climate indicators
{if} the census tract is above the threshold for one or more environmental or climate indicators
`}
description={'the first part of the formula used in the methodology'}
values= {{
@ -64,7 +64,7 @@ export const FORMULA = {
AND: <FormattedMessage
id={'methodology.page.formula.second'}
defaultMessage={ `
{and} the tract is above the threshold for the socioeconomic indicators
{and} the census tract is above the threshold for the socioeconomic indicators
`}
description={'the second part of the formula used in the methodology'}
values= {{
@ -82,7 +82,7 @@ export const FORMULA = {
};
// Download Package
export const DOWNLOAD_FILE_SIZE = '111MB';
export const DOWNLOAD_FILE_SIZE = '52MB unzipped';
export const DOWNLOAD_LAST_UPDATED = '2/18/22';
export const DOWNLOAD_LAST_UPDATED_ES = '18/2/22';
export const VERSION_NUMBER = '0.1';
@ -365,8 +365,8 @@ export const CATEGORIES = {
values= {{
if: <strong>IF</strong>,
proxHaz: <a href='#prox-haz'>proximity to hazardous waste facilities</a>,
proxNPL: <a href='#prox-npl'>proximity to NPL sites</a>,
proxRMP: <a href='#prox-rmp'>proximity to RMP facilities</a>,
proxNPL: <a href='#prox-npl'>proximity to National Priorities List (NPL) sites</a>,
proxRMP: <a href='#prox-rmp'>proximity to Risk Management Plan (RMP) facilities</a>,
}}
/>,
AND: CATEGORY_AND_CLAUSE.LOW_INC_65_WHEN_HIGH_ED_LTE_20,
@ -463,7 +463,7 @@ export const CATEGORIES = {
IF: <FormattedMessage
id= {'indicator.categories.work.dev.if'}
defaultMessage= {`
{if} at or above the 90th percentile for {lowMedInc} as a percent of area median income OR
{if} at or above the 90th percentile for {lowMedInc} as a percentage of area median income OR
{linIso} OR
{unemploy} OR
percent individuals in households at or below 100% Federal {poverty} level
@ -854,7 +854,8 @@ export const INDICATORS = [
description: <FormattedMessage
id= {'category.exp.agr.loss.rate.description.text'}
defaultMessage= {`
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
@ -877,7 +878,7 @@ export const INDICATORS = [
description: <FormattedMessage
id= {'category.exp.bld.loss.rate.description.text'}
defaultMessage= {`
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
@ -900,7 +901,8 @@ export const INDICATORS = [
description: <FormattedMessage
id= {'category.exp.pop.loss.rate.description.text'}
defaultMessage= {`
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
@ -928,7 +930,7 @@ export const INDICATORS = [
indicator: 'Energy burden',
description: <FormattedMessage
id= {'category.energy.burden.description.text'}
defaultMessage= {`Average annual energy cost per household ($) divided by household average income.`}
defaultMessage= {`Average annual energy cost per household ($) divided by average household income.`}
description= {'description text for energy burden'}
/>,
usedIn: CATEGORIES.CLEAN_ENERGY.METHODOLOGY,
@ -1028,7 +1030,7 @@ export const INDICATORS = [
id= {'category.lead.paint.description.text'}
defaultMessage= {`
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.
`}
description= {'description text for lead paint'}
/>,
@ -1218,10 +1220,10 @@ export const INDICATORS = [
note: <p><strong>Note:</strong>{`
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>,
}}
/>,
@ -1248,9 +1250,9 @@ export const INDICATORS = [
note: <p><strong>Note:</strong>{`
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>,
}}
@ -1270,11 +1272,11 @@ export const INDICATORS = [
},
{
domID: 'ling-iso',
indicator: 'Linguistic Isolation',
indicator: 'Linguistic isolation',
description: <FormattedMessage
id= {'category.linguistic.iso.description.text'}
defaultMessage= {`
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.
`}
description= {'description text for linguistic isolation'}
/>,
@ -1293,7 +1295,7 @@ export const INDICATORS = [
description: <FormattedMessage
id= {'category.unemploy.description.text'}
defaultMessage= {`
Number of unemployed people as a percentage of the civilian labor force
Number of unemployed people as a percentage of the civilian labor force.
`}
description= {'description text for unemployment'}
/>,
@ -1316,7 +1318,7 @@ export const INDICATORS = [
description: <FormattedMessage
id= {'category.poverty.description.text'}
defaultMessage= {`
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.
`}
description= {'description text for poverty'}

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"
>

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"
>

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>