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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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22 changed files with 1059 additions and 486 deletions
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@ -148,7 +148,20 @@ export const CATEGORY= {
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// Indicator Categories copy constants:
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export const CATEGORIES = {
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ALL: {
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METHODOLOGY:
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<FormattedMessage
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id= {'methodologies.all.used.in.text'}
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defaultMessage= {`All methodologies except for training and workforce development`}
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description= {'used in text for all methodologies'}
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/>,
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},
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CLIMATE_CHANGE: {
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METHODOLOGY: <FormattedMessage
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id= {'indicator.categories.climate.change.methodology'}
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defaultMessage= {`Climate change methodology`}
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description= {'climate change methodology'}
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/>,
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TITLE: <FormattedMessage
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id={'indicator.categories.climate.change.title'}
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defaultMessage={'Climate change'}
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@ -187,6 +200,11 @@ export const CATEGORIES = {
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/>,
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},
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CLEAN_ENERGY: {
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METHODOLOGY: <FormattedMessage
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id= {'indicator.categories.climate.change.methodology'}
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defaultMessage= {`Clean energy and energy efficiency methodology`}
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description= {`Clean energy and energy efficiency methodology`}
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/>,
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TITLE: <FormattedMessage
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id={'indicator.categories.clean.energy.title'}
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defaultMessage={'Clean energy and energy efficiency'}
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@ -224,6 +242,11 @@ export const CATEGORIES = {
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/>,
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},
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CLEAN_TRANSPORT: {
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METHODOLOGY: <FormattedMessage
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id= {'indicator.categories.clean.transport.methodology'}
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defaultMessage= {`Clean transportation methodology`}
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description= {`Clean transportation methodology`}
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/>,
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TITLE: <FormattedMessage
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id={'indicator.categories.clean.transport.title'}
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defaultMessage={'Clean transportation'}
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@ -261,6 +284,11 @@ export const CATEGORIES = {
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/>,
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},
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AFFORDABLE_HOUSING: {
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METHODOLOGY: <FormattedMessage
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id= {'indicator.categories.afford.housing.methodology'}
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defaultMessage= {`Affordable and sustainable housing methodology`}
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description= {`Affordable and sustainable housing methodology`}
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/>,
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TITLE: <FormattedMessage
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id={'indicator.categories.afford.house.title'}
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defaultMessage={'Affordable and sustainable housing'}
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@ -270,7 +298,7 @@ export const CATEGORIES = {
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id= {'indicator.categories.afford.house.if'}
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defaultMessage= {`
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{if} at or above 90th percentile for {lead} AND {medianHomeVal} is at or less than
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90th percentile OR at or above the 10th percentile for the {houseBur}
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90th percentile OR at or above the 90th percentile for the {houseBur}
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`}
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description= {'if portion of the formula'}
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values= {{
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@ -300,6 +328,11 @@ export const CATEGORIES = {
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/>,
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},
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LEGACY_POLLUTION: {
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METHODOLOGY: <FormattedMessage
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id= {'indicator.categories.legacy.pollute.methodology'}
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defaultMessage= {`Reduction and remediation of legacy pollution methodology`}
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description= {`Reduction and remediation of legacy pollution methodology`}
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/>,
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TITLE: <FormattedMessage
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id={'indicator.categories.legacy.pollution.title'}
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defaultMessage={'Reduction and remediation of legacy pollution'}
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@ -338,6 +371,11 @@ export const CATEGORIES = {
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/>,
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},
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CLEAN_WATER: {
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METHODOLOGY: <FormattedMessage
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id= {'indicator.categories.clean.water.methodology'}
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defaultMessage= {`Critical clean water and waste infrastructure`}
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description= {`Critical clean water and waste infrastructure methodology`}
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/>,
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TITLE: <FormattedMessage
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id={'indicator.categories.clean.water.title'}
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defaultMessage={'Critical clean water and waste infrastructure'}
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@ -374,6 +412,11 @@ export const CATEGORIES = {
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/>,
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},
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HEALTH_BURDENS: {
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METHODOLOGY: <FormattedMessage
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id= {'indicator.categories.health.burdens.methodology'}
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defaultMessage= {`Health burdens methodology`}
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description= {`Health burdens methodology`}
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/>,
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TITLE: <FormattedMessage
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id={'indicator.categories.health.burdens.title'}
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defaultMessage={'Health burdens'}
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@ -413,6 +456,11 @@ export const CATEGORIES = {
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/>,
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},
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WORKFORCE_DEV: {
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METHODOLOGY: <FormattedMessage
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id= {'indicator.categories.workforce.dev.methodology'}
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defaultMessage= {`Training and workforce development methodology`}
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description= {`Training and workforce development`}
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/>,
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TITLE: <FormattedMessage
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id={'indicator.categories.work.dev.title'}
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defaultMessage={'Training and workforce development'}
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@ -503,303 +551,592 @@ export const DATASET_CARD_LABELS = defineMessages({
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},
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});
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export const RESPONSIBLE_PARTIES = {
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CENSUS_ACS: <FormattedMessage
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id= {'category.resp.party.census.link'}
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defaultMessage= {'{resPartyCensusLink}'}
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description= {'responsible party link for Census ACS'}
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values= {{
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resPartyCensusLink:
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<a href={`https://www.census.gov/programs-surveys/acs`} target={'_blank'} rel="noreferrer">
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{`Census's American Community Survey`}
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</a>,
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}}
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/>,
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FEMA: <FormattedMessage
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id= {'category.resp.party.fema.link'}
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defaultMessage= {`{resPartyFemaLink}`}
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description= {'responsible party link for FEMA'}
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values={{
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resPartyFemaLink:
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<a href={`https://hazards.fema.gov/nri/expected-annual-loss`} target={'_blank'} rel="noreferrer">
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{`Federal Emergency Management Agency (FEMA)`}
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</a>,
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}}
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/>,
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DOE: <FormattedMessage
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id= {'category.resp.party.doe.link'}
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defaultMessage= {`{resPartyDoeLink}`}
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description= {'responsible party link for FEMA'}
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values={{
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resPartyDoeLink:
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<a href={`https://www.energy.gov/eere/slsc/low-income-energy-affordability-data-lead-tool`}
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target={'_blank'}
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rel="noreferrer">
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{`Department of Energy (DOE) LEAD Score`}
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</a>,
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}}
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/>,
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EPA_OAR: <FormattedMessage
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id= {'category.resp.party.epa.oar.link'}
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defaultMessage= {`{resPartyEpaOarLink}`}
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description= {'responsible party link for EPA OAR'}
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values={{
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resPartyEpaOarLink:
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<a href={`https://www.epa.gov/ejscreen/technical-documentation-ejscreen`}
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target={'_blank'}
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rel="noreferrer">
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{`
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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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`}
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</a>,
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}}
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/>,
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EPA_NATA: <FormattedMessage
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id= {'category.resp.party.epa.nata.link'}
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defaultMessage= {`{resPartyEpaOarLink}`}
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description= {'responsible party link for EPA NATA'}
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values={{
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resPartyEpaOarLink:
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<a href={`https://www.epa.gov/ejscreen/technical-documentation-ejscreen`}
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target={'_blank'}
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rel="noreferrer">
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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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`}
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</a>,
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}}
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/>,
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DOT_EPA: <FormattedMessage
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id= {'category.resp.party.dot.epa.link'}
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defaultMessage= {`{resPartyDotEpaLink}`}
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description= {'responsible party link for DOT EPA'}
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values={{
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resPartyDotEpaLink:
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<a href={`https://www.epa.gov/ejscreen/technical-documentation-ejscreen`}
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target={'_blank'}
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rel="noreferrer">
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{`
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Department of Transportation (DOT) traffic data as compiled by EPA's EJSCREEN
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`}
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</a>,
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}}
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/>,
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HUD: <FormattedMessage
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id= {'category.resp.party.hud.link'}
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defaultMessage= {`{resPartyHudLink}`}
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description= {'responsible party link for HUD'}
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values={{
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resPartyHudLink:
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<a href={`https://www.huduser.gov/portal/datasets/cp.html`}
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target={'_blank'}
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rel="noreferrer">
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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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`}
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</a>,
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}}
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/>,
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EPA_TSDF: <FormattedMessage
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id= {'category.resp.party.epa.tsdf.link'}
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defaultMessage= {`{resPartyEpaTsdfLink}`}
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description= {'responsible party link for EPA TSDF'}
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values={{
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resPartyEpaTsdfLink:
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<a href={`https://enviro.epa.gov/facts/rcrainfo/search.html`}
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target={'_blank'}
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rel="noreferrer">
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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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`}
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</a>,
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}}
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/>,
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EPA_CERCLIS: <FormattedMessage
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id= {'category.resp.party.epa.cerclis.link'}
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defaultMessage= {`{resPartyEpaCerclisLink}`}
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description= {'responsible party link for EPA CERCLIS'}
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values={{
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resPartyEpaCerclisLink:
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<a href={`https://enviro.epa.gov/facts/rcrainfo/search.html`}
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target={'_blank'}
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rel="noreferrer">
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{`
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Environmental Protection Agency (EPA) CERCLIS database as compiled by EPA’s EJSCREEN
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`}
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</a>,
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}}
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/>,
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EPA_RMP: <FormattedMessage
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id= {'category.resp.party.epa.rmp.link'}
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defaultMessage= {`{resPartyEpaRmpLink}`}
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description= {'responsible party link for EPA RMP'}
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values={{
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resPartyEpaRmpLink:
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<a href={`https://www.epa.gov/ejscreen/technical-documentation-ejscreen`}
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target={'_blank'}
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rel="noreferrer">
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{`
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Environmental Protection Agency (EPA) RMP database as compiled by EPA’s EJSCREEN
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`}
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</a>,
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}}
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/>,
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EPA_RSEI: <FormattedMessage
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id= {'category.resp.party.epa.rsei.link'}
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defaultMessage= {`{resPartyEpaRseiLink}`}
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description= {'responsible party link for EPA RSEI'}
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values={{
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resPartyEpaRseiLink:
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<a href={`https://www.epa.gov/ejscreen/technical-documentation-ejscreen`}
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target={'_blank'}
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rel="noreferrer">
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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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`}
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</a>,
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}}
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/>,
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CDC_PLACES: <FormattedMessage
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id= {'category.resp.party.cdc.places.link'}
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defaultMessage= {`{resPartyCdcPlacesLink}`}
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description= {'responsible party link for CDC Places'}
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values={{
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resPartyCdcPlacesLink:
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<a href={`https://www.cdc.gov/places/index.html`}
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target={'_blank'}
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rel="noreferrer">
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{`
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Centers for Disease Control and Prevention (CDC) PLACES
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`}
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</a>,
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}}
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/>,
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CDC_SLEEP: <FormattedMessage
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id= {'category.resp.party.cdc.sleep.link'}
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defaultMessage= {`{resPartyCdcSleepLink}`}
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description= {'responsible party link for CDC Sleep'}
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values={{
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resPartyCdcSleepLink:
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<a href={`https://www.cdc.gov/nchs/nvss/usaleep/usaleep.html#data`}
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target={'_blank'}
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rel="noreferrer">
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{`
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CDC’s U.S. Small-area Life Expectancy Estimates Project (USALEEP)
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`}
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</a>,
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}}
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/>,
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};
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export const DATE_RANGE = {
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TEN_PLUS_5: '2010-2015',
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FOURTEEN: '2014',
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FOURTEEN_PLUS_4: '2014-2018',
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FOURTEEN_PLUS_7: '2014-2021',
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FIFETEEN_PLUS_4: '2015-2019',
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SIXTEEN_PLUS_3: '2016-2019',
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SIXTEEN_PLUS_4: '2016-2020',
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SEVENTEEN: '2017',
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EIGHTEEN: '2018',
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TWENTY: '2020',
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};
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export const INDICATORS = [
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{
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domID: 'low-income',
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indicator: 'Low income',
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description: `
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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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`,
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usedIn:
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<FormattedMessage
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id= {'category.low.income.used.in'}
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defaultMessage= {`All methodologies except for training and workforce development`}
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description= {'used in text for low income'}
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/>,
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respPartyLabel:
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<FormattedMessage
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id= {'category.low.income.resp.party.label'}
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defaultMessage= {'{lowIncResPartyLinkText}.'}
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description= {'responsible party label for low.income'}
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values= {{
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lowIncResPartyLinkText: `Census's American Community Survey`,
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}}
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/>,
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dataSourceURL: `https://www.census.gov/programs-surveys/acs`,
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dateRange: `2015-2019`,
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description: <FormattedMessage
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id= {'category.low.income.description.text'}
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defaultMessage= {`
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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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`}
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description= {'description text for low income'}
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/>,
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usedIn: CATEGORIES.ALL.METHODOLOGY,
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responsibleParty: RESPONSIBLE_PARTIES.CENSUS_ACS,
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dateRange: DATE_RANGE.FIFETEEN_PLUS_4,
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},
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{
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domID: 'exp-agr-loss-rate',
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indicator: 'Expected agriculture loss rate',
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description: `
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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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`,
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usedIn: `Climate change methodology`,
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respPartyLabel: `Federal Emergency Management Agency (FEMA)`,
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dataSourceURL: `https://hazards.fema.gov/nri/expected-annual-loss`,
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dateRange: `2014-2021`,
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description: <FormattedMessage
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id= {'category.exp.agr.loss.rate.description.text'}
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defaultMessage= {`
|
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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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`}
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description= {'description text for exp agr loss rate'}
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/>,
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usedIn: CATEGORIES.CLIMATE_CHANGE.METHODOLOGY,
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responsibleParty: RESPONSIBLE_PARTIES.FEMA,
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dateRange: DATE_RANGE.FOURTEEN_PLUS_7,
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},
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{
|
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domID: 'exp-bld-loss-rate',
|
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indicator: 'Expected building loss rate',
|
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description: `
|
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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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`,
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usedIn: `Climate change methodology`,
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respPartyLabel: `Federal Emergency Management Agency (FEMA)`,
|
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dataSourceURL: `https://hazards.fema.gov/nri/expected-annual-loss`,
|
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dateRange: `2014-2021`,
|
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description: <FormattedMessage
|
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id= {'category.exp.bld.loss.rate.description.text'}
|
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defaultMessage= {`
|
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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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`}
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description= {'description text for exp bld loss rate'}
|
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/>,
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usedIn: CATEGORIES.CLIMATE_CHANGE.METHODOLOGY,
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responsibleParty: RESPONSIBLE_PARTIES.FEMA,
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dateRange: DATE_RANGE.FOURTEEN_PLUS_7,
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},
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{
|
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domID: 'exp-pop-loss-rate',
|
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indicator: 'Expected population loss rate',
|
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description: `
|
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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
|
||||
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 Information’s (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.
|
||||
|
||||
`,
|
||||
usedIn: `Climate change methodology`,
|
||||
respPartyLabel: `Federal Emergency Management Agency (FEMA)`,
|
||||
dataSourceURL: `https://hazards.fema.gov/nri/expected-annual-loss`,
|
||||
dateRange: `2014-2021`,
|
||||
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.
|
||||
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 Information’s (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.
|
||||
`}
|
||||
description= {'description text for exp pop loss rate'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.CLIMATE_CHANGE.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.FEMA,
|
||||
dateRange: DATE_RANGE.FOURTEEN_PLUS_7,
|
||||
},
|
||||
{
|
||||
domID: 'energy-burden',
|
||||
indicator: 'Energy cost burden',
|
||||
description: `Average annual energy cost ($) divided by household income.`,
|
||||
usedIn: `Clean energy and energy efficiency methodology`,
|
||||
respPartyLabel: `Department of Energy (DOE) LEAD Score`,
|
||||
dataSourceURL: `https://www.energy.gov/eere/slsc/low-income-energy-affordability-data-lead-tool`,
|
||||
dateRange: `2018`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.energy.burden.description.text'}
|
||||
defaultMessage= {`Average annual energy cost ($) divided by household income.`}
|
||||
description= {'description text for energy burden'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.CLEAN_ENERGY.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.DOE,
|
||||
dateRange: DATE_RANGE.EIGHTEEN,
|
||||
},
|
||||
{
|
||||
domID: 'pm-25',
|
||||
indicator: 'PM2.5 in the air',
|
||||
description: `Fine inhalable particles, with diameters that are generally
|
||||
2.5 micrometers and smaller.`,
|
||||
usedIn: `Clean energy and energy efficiency methodology`,
|
||||
respPartyLabel: `Environmental Protection Agency (EPA) Office of Air
|
||||
and Radiation (OAR) fusion of model and monitor data as compiled by EPA's EJSCREEN`,
|
||||
dataSourceURL: `https://www.epa.gov/ejscreen/technical-documentation-ejscreen`,
|
||||
dateRange: `2017`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.pm2.5.description.text'}
|
||||
defaultMessage= {`
|
||||
Fine inhalable particles, with diameters that are generally 2.5 micrometers and smaller.
|
||||
`}
|
||||
description= {'description text for pm 2.5'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.CLEAN_ENERGY.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.EPA_OAR,
|
||||
dateRange: DATE_RANGE.SEVENTEEN,
|
||||
},
|
||||
{
|
||||
domID: 'diesel-pm',
|
||||
indicator: 'Diesel particulate matter exposure',
|
||||
description: `Mixture of particles that is part of diesel exhaust in the air.`,
|
||||
usedIn: `Clean transportation methodology`,
|
||||
respPartyLabel: `Environmental Protection Agency (EPA) National Air Toxics Assessment (NATA)
|
||||
as compiled by EPA's EJSCREEN`,
|
||||
dataSourceURL: `https://www.epa.gov/ejscreen/technical-documentation-ejscreen`,
|
||||
dateRange: `2014`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.diesel.pm.description.text'}
|
||||
defaultMessage= {`
|
||||
Mixture of particles that is part of diesel exhaust in the air.
|
||||
`}
|
||||
description= {'description text for diesel pm'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.CLEAN_TRANSPORT.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.EPA_NATA,
|
||||
dateRange: DATE_RANGE.FOURTEEN,
|
||||
},
|
||||
{
|
||||
domID: 'traffic-vol',
|
||||
indicator: 'Traffic proximity and volume',
|
||||
description: `Count of vehicles (average annual daily traffic) at major roads
|
||||
within 500 meters, divided by distance in meters (not km).`,
|
||||
usedIn: `Clean transportation methodology`,
|
||||
respPartyLabel: `Department of Transportation (DOT) traffic data as compiled by EPA's EJSCREEN`,
|
||||
dataSourceURL: `https://www.epa.gov/ejscreen/technical-documentation-ejscreen`,
|
||||
dateRange: `2017`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.traffic.vol.description.text'}
|
||||
defaultMessage= {`
|
||||
Count of vehicles (average annual daily traffic) at major roads
|
||||
within 500 meters, divided by distance in meters (not km).
|
||||
`}
|
||||
description= {'description text for traffic volume'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.CLEAN_TRANSPORT.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.DOT_EPA,
|
||||
dateRange: DATE_RANGE.SEVENTEEN,
|
||||
},
|
||||
{
|
||||
domID: 'house-burden',
|
||||
indicator: 'Housing cost burden',
|
||||
description: `
|
||||
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.
|
||||
`,
|
||||
usedIn: `Affordable and sustainable housing methodology`,
|
||||
respPartyLabel: `Department of Housing & Urban Development’s
|
||||
(HUD) Comprehensive Housing Affordability Strategy dataset`,
|
||||
dataSourceURL: `https://www.huduser.gov/portal/datasets/cp.html`,
|
||||
dateRange: `2014-2018`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.house.burden.description.text'}
|
||||
defaultMessage= {`
|
||||
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.
|
||||
`}
|
||||
description= {'description text for housing burden'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.AFFORDABLE_HOUSING.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.HUD,
|
||||
dateRange: DATE_RANGE.FOURTEEN_PLUS_4,
|
||||
},
|
||||
{
|
||||
domID: 'lead-paint',
|
||||
indicator: 'Lead paint',
|
||||
description: `
|
||||
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 `,
|
||||
usedIn: `Affordable and sustainable housing methodology`,
|
||||
respPartyLabel: `Census's American Community Survey`,
|
||||
dataSourceURL: `https://www.census.gov/programs-surveys/acs`,
|
||||
dateRange: `2015-2019`,
|
||||
description: <FormattedMessage
|
||||
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 90th percentile
|
||||
`}
|
||||
description= {'description text for lead paint'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.AFFORDABLE_HOUSING.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.CENSUS_ACS,
|
||||
dateRange: DATE_RANGE.FIFETEEN_PLUS_4,
|
||||
},
|
||||
{
|
||||
domID: 'median-home',
|
||||
indicator: 'Low median home value',
|
||||
description: `Median home value of owner-occupied housing units in the census tract.`,
|
||||
usedIn: `Affordable and sustainable housing methodology`,
|
||||
respPartyLabel: `Census's American Community Survey`,
|
||||
dataSourceURL: `https://www.census.gov/programs-surveys/acs`,
|
||||
dateRange: `2015-2019`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.lead.paint.description.text'}
|
||||
defaultMessage= {`
|
||||
Median home value of owner-occupied housing units in the census tract.
|
||||
`}
|
||||
description= {'description text for lead paint'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.AFFORDABLE_HOUSING.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.CENSUS_ACS,
|
||||
dateRange: DATE_RANGE.FIFETEEN_PLUS_4,
|
||||
},
|
||||
{
|
||||
domID: 'prox-haz',
|
||||
indicator: 'Proximity to hazardous waste facilities',
|
||||
description: `
|
||||
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.
|
||||
`,
|
||||
usedIn: `Reduction and remediation of legacy pollution methodology`,
|
||||
respPartyLabel: `
|
||||
Environmental Protection Agency (EPA) Treatment Storage, and Disposal Facilities
|
||||
(TSDF) data calculated from EPA RCRA info database as compiled by EPA’s EJSCREEN
|
||||
`,
|
||||
dataSourceURL: `https://enviro.epa.gov/facts/rcrainfo/search.html`,
|
||||
dateRange: `2015-2020`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.prox.haz.description.text'}
|
||||
defaultMessage= {`
|
||||
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.
|
||||
`}
|
||||
description= {'description text for proximity to hazards'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.LEGACY_POLLUTION.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.EPA_TSDF,
|
||||
dateRange: DATE_RANGE.TWENTY,
|
||||
},
|
||||
{
|
||||
domID: 'prox-npl',
|
||||
indicator: 'Proximity to National Priorities List (NPL) sites',
|
||||
description: `
|
||||
Count of proposed or listed NPL - also known as superfund - sites within 5 km (or nearest one
|
||||
beyond 5 km), each divided by distance in kilometers.`,
|
||||
usedIn: `Reduction and remediation of legacy pollution methodology`,
|
||||
respPartyLabel: `Environmental Protection Agency (EPA) CERCLIS database as compiled by EPA’s EJSCREEN`,
|
||||
dataSourceURL: `https://enviro.epa.gov/facts/rcrainfo/search.html`,
|
||||
dateRange: `2020`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.prox.npl.description.text'}
|
||||
defaultMessage= {`
|
||||
Count of proposed or listed NPL - also known as superfund - sites within 5 km (or nearest one
|
||||
beyond 5 km), each divided by distance in kilometers.
|
||||
`}
|
||||
description= {'description text for proximity to npl'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.LEGACY_POLLUTION.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.EPA_CERCLIS,
|
||||
dateRange: DATE_RANGE.TWENTY,
|
||||
},
|
||||
{
|
||||
domID: 'prox-rmp',
|
||||
indicator: 'Proximity to Risk Management Plan (RMP) facilities',
|
||||
description: `
|
||||
Count of RMP (potential chemical accident management plan) facilities within 5 km (or nearest
|
||||
one beyond 5 km), each divided by distance in kilometers.`,
|
||||
usedIn: `Affordable and sustainable housing methodology`,
|
||||
respPartyLabel: `Environmental Protection Agency (EPA) RMP database as compiled by EPA’s EJSCREEN`,
|
||||
dataSourceURL: `https://www.epa.gov/ejscreen/technical-documentation-ejscreen`,
|
||||
dateRange: `2020`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.prox.rmp.description.text'}
|
||||
defaultMessage= {`
|
||||
Count of RMP (potential chemical accident management plan) facilities within 5 km (or nearest
|
||||
one beyond 5 km), each divided by distance in kilometers.
|
||||
`}
|
||||
description= {'description text for proximity to rmp'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.LEGACY_POLLUTION.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.EPA_RMP,
|
||||
dateRange: DATE_RANGE.TWENTY,
|
||||
},
|
||||
{
|
||||
domID: 'waste-water',
|
||||
indicator: 'Wastewater discharge',
|
||||
description: `Risk-Screening Environmental Indicators (RSEI) modeled Toxic Concentrations at
|
||||
stream segments within 500 meters, divided by distance in kilometers (km).`,
|
||||
usedIn: `Critical clean water and waste infrastructure`,
|
||||
respPartyLabel: `Environmental Protection Agency (EPA) Risk-Screening
|
||||
Environmental Indicators (RSEI) Model as compiled by EPA's EJSCREEN`,
|
||||
dataSourceURL: `https://www.epa.gov/ejscreen/technical-documentation-ejscreen`,
|
||||
dateRange: `2020`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.waste.water.description.text'}
|
||||
defaultMessage= {`
|
||||
Risk-Screening Environmental Indicators (RSEI) modeled Toxic Concentrations at
|
||||
stream segments within 500 meters, divided by distance in kilometers (km).
|
||||
`}
|
||||
description= {'description text for waste water'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.CLEAN_WATER.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.EPA_RSEI,
|
||||
dateRange: DATE_RANGE.TWENTY,
|
||||
},
|
||||
{
|
||||
domID: 'asthma',
|
||||
indicator: 'Asthma',
|
||||
description: `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?”`,
|
||||
usedIn: `Health burdens methodology`,
|
||||
respPartyLabel: `Centers for Disease Control and Prevention (CDC) PLACES`,
|
||||
dataSourceURL: `https://www.cdc.gov/places/index.html`,
|
||||
dateRange: `2016-2019`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.asthma.description.text'}
|
||||
defaultMessage= {`
|
||||
Weighted percent of people who answer “yes” 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?”
|
||||
`}
|
||||
description= {'description text for asthma'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.HEALTH_BURDENS.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.CDC_PLACES,
|
||||
dateRange: DATE_RANGE.SIXTEEN_PLUS_3,
|
||||
},
|
||||
{
|
||||
domID: 'diabetes',
|
||||
indicator: 'Diabetes',
|
||||
description: `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.`,
|
||||
usedIn: `Health burdens methodology`,
|
||||
respPartyLabel: `Centers for Disease Control and Prevention (CDC) PLACES`,
|
||||
dataSourceURL: `https://www.cdc.gov/places/index.html`,
|
||||
dateRange: `2016-2019`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.diabetes.description.text'}
|
||||
defaultMessage= {`
|
||||
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.
|
||||
`}
|
||||
description= {'description text for diabetes'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.HEALTH_BURDENS.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.CDC_PLACES,
|
||||
dateRange: DATE_RANGE.SIXTEEN_PLUS_3,
|
||||
},
|
||||
{
|
||||
domID: 'heart-disease',
|
||||
indicator: 'Heart disease',
|
||||
description: `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.`,
|
||||
usedIn: `Health burdens methodology`,
|
||||
respPartyLabel: `Centers for Disease Control and Prevention (CDC) PLACES`,
|
||||
dataSourceURL: `https://www.cdc.gov/places/index.html`,
|
||||
dateRange: `2016-2019`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.diabetes.description.text'}
|
||||
defaultMessage= {`
|
||||
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.
|
||||
`}
|
||||
description= {'description text for diabetes'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.HEALTH_BURDENS.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.CDC_PLACES,
|
||||
dateRange: DATE_RANGE.SIXTEEN_PLUS_3,
|
||||
},
|
||||
{
|
||||
domID: 'life-exp',
|
||||
indicator: 'Low life expectancy',
|
||||
description: `
|
||||
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.
|
||||
`,
|
||||
usedIn: `Health burdens methodology`,
|
||||
respPartyLabel: `CDC’s U.S. Small-area Life Expectancy Estimates Project (USALEEP)`,
|
||||
dataSourceURL: `https://www.cdc.gov/nchs/nvss/usaleep/usaleep.html#data`,
|
||||
dateRange: `2010-2015`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.low.life.expectancy.description.text'}
|
||||
defaultMessage= {`
|
||||
Average number of years of life a person who has attained a given age can expect to live.
|
||||
{note}
|
||||
`}
|
||||
description= {'description text for low life expectancy'}
|
||||
values= {{
|
||||
note: <p><strong>Note:</strong>{`
|
||||
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.
|
||||
`}</p>,
|
||||
}}
|
||||
/>,
|
||||
usedIn: CATEGORIES.HEALTH_BURDENS.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.CDC_SLEEP,
|
||||
dateRange: DATE_RANGE.TEN_PLUS_5,
|
||||
},
|
||||
{
|
||||
domID: 'low-med-inc',
|
||||
indicator: 'Low median Income',
|
||||
description: `Median income of the census tract calculated as a percent of the area’s median income.`,
|
||||
usedIn: `Training and workforce development`,
|
||||
respPartyLabel: `Census's American Community Survey`,
|
||||
dataSourceURL: `https://www.census.gov/programs-surveys/acs`,
|
||||
dateRange: `2015-2019`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.workforce.dev.description.text'}
|
||||
defaultMessage= {`
|
||||
Median income of the census tract calculated as a percent of the area’s median income.
|
||||
`}
|
||||
description= {'description text for workforce dev'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.WORKFORCE_DEV.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.CENSUS_ACS,
|
||||
dateRange: DATE_RANGE.FIFETEEN_PLUS_4,
|
||||
},
|
||||
{
|
||||
domID: 'ling-iso',
|
||||
indicator: 'Linguistic Isolation',
|
||||
description: `
|
||||
The percent of limited speaking households, which are households where no one over age 14 speaks English well.
|
||||
`,
|
||||
usedIn: `Training and workforce development`,
|
||||
respPartyLabel: `Census's American Community Survey`,
|
||||
dataSourceURL: `https://www.census.gov/programs-surveys/acs`,
|
||||
dateRange: `2015-2019`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.linguistic.iso.description.text'}
|
||||
defaultMessage= {`
|
||||
The percent of limited speaking households, which are households where no one over age 14 speaks English well.
|
||||
`}
|
||||
description= {'description text for linguistic isolation'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.WORKFORCE_DEV.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.CENSUS_ACS,
|
||||
dateRange: DATE_RANGE.FIFETEEN_PLUS_4,
|
||||
},
|
||||
{
|
||||
domID: 'unemploy',
|
||||
indicator: 'Unemployment',
|
||||
description: `Number of unemployed people as a percentage of the civilian labor force`,
|
||||
usedIn: `Training and workforce development`,
|
||||
respPartyLabel: `Census's American Community Survey`,
|
||||
dataSourceURL: `https://www.census.gov/programs-surveys/acs`,
|
||||
dateRange: `2015-2019`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.unemploy.description.text'}
|
||||
defaultMessage= {`
|
||||
Number of unemployed people as a percentage of the civilian labor force
|
||||
`}
|
||||
description= {'description text for unemployment'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.WORKFORCE_DEV.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.CENSUS_ACS,
|
||||
dateRange: DATE_RANGE.FIFETEEN_PLUS_4,
|
||||
},
|
||||
{
|
||||
domID: 'poverty',
|
||||
indicator: 'Poverty',
|
||||
description: `Percent of a tract's population in households where the household income` +
|
||||
` is at or below 100% of the federal poverty level.`,
|
||||
usedIn: `Training and workforce development`,
|
||||
respPartyLabel: `Census's American Community Survey`,
|
||||
dataSourceURL: `https://www.census.gov/programs-surveys/acs`,
|
||||
dateRange: `2015-2019`,
|
||||
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
|
||||
the federal poverty level.
|
||||
`}
|
||||
description= {'description text for poverty'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.WORKFORCE_DEV.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.CENSUS_ACS,
|
||||
dateRange: DATE_RANGE.FIFETEEN_PLUS_4,
|
||||
},
|
||||
{
|
||||
domID: 'high-school',
|
||||
indicator: 'High school degree achievement rate',
|
||||
description: `Percent of people ages 25 years or older in a census tract whose
|
||||
education level is less than a high school diploma.`,
|
||||
usedIn: `Training and workforce development`,
|
||||
respPartyLabel: `Census's American Community Survey`,
|
||||
dataSourceURL: `https://www.census.gov/programs-surveys/acs`,
|
||||
dateRange: `2015-2019`,
|
||||
description: <FormattedMessage
|
||||
id= {'category.highschool.description.text'}
|
||||
defaultMessage= {`
|
||||
Percent (not percentile) of people ages 25 years or older in a census tract whose
|
||||
education level is less than a high school diploma.
|
||||
`}
|
||||
description= {'description text for highschool'}
|
||||
/>,
|
||||
usedIn: CATEGORIES.WORKFORCE_DEV.METHODOLOGY,
|
||||
responsibleParty: RESPONSIBLE_PARTIES.CENSUS_ACS,
|
||||
dateRange: DATE_RANGE.FIFETEEN_PLUS_4,
|
||||
isPercent: true,
|
||||
},
|
||||
];
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue