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Make latest copy changes from Living Copy (#1055)
* Make latest copy changes - update snapshots * Update cypress test on feedback link - update snapshot * Update side panel and copy - update snapshots * Make 2nd EO link open in new tab * Add latest changes from Living copy * Add back HS indicator to map * Add "X of Y thresholds exceed" to side panel - update snapshots * Update with latest copy * Update to latest copy - make BETA pill in logo bold - correct exceed to exceeded - update snapshots - update page title to Meth & data * Update total indicators to 21 * Update snapshot
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30 changed files with 518 additions and 358 deletions
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@ -5,7 +5,7 @@ import {FormattedMessage} from 'gatsby-plugin-intl';
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export const PAGE = defineMessages({
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TILE: {
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id: 'methodology.page.title.text',
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defaultMessage: 'Data and Methodology',
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defaultMessage: 'Methodology & data',
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description: 'methodology page title text',
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},
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HEADING: {
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@ -16,11 +16,10 @@ export const PAGE = defineMessages({
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DESCRIPTION: {
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id: 'methodology.page.paragraph',
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defaultMessage: `
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This tool identifies commmunities that are economically disadvantaged, overburdened by
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certain environmental risks, and marginalized by legacies of historic underinvestment.
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A community qualifies as 'disadvantaged' when a census tract is at or above a certain
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threshold for a climate or environmental burden indicator and also above a certain
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threshold for a socioeconomic indicator. Census tract geographical boundaries are
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This tool identifies communities that are overburdened by pollution and other environmental exposures
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and disadvantaged by underinvestment. A community qualifies as disadvantaged when a census tract
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is at or above a certain threshold for a climate or environmental burden indicator and also above
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a certain threshold for a socioeconomic indicator. Census tract geographical boundaries are
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determined by the U.S. Census Bureau once every ten years. This tool untilizes the
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census tract boundaries from 2010.
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`,
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@ -36,8 +35,8 @@ export const PAGE = defineMessages({
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CATEGORY_TEXT: {
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id: 'methodology.page.categories.title',
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defaultMessage: `
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Communities will be defined as disadvantaged if they meet the qualifications under one
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or more of the 8 categories of criteria below.
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Communities will be defined as disadvantaged for the purposes of Justice40 if they meet
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the qualifications under one or more of the eight categories of criteria below.
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`,
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description: 'methodology page explanation of the categories',
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},
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@ -73,7 +72,7 @@ export const FORMULA = {
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};
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// Download Package
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export const DOWNLOAD_FILE_SIZE = '111MB';
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export const DOWNLOAD_FILE_SIZE = '73MB';
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export const DOWNLOAD_LAST_UPDATED = '12/13/21';
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export const DOWNLOAD_LAST_UPDATED_ES = '13/12/21';
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export const VERSION_NUMBER = '0.1';
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@ -97,7 +96,7 @@ export const DOWNLOAD_PACKAGE = {
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DESCRIPTION: <FormattedMessage
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id={ 'downloadPacket.info.text'}
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defaultMessage= {`
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The package includes draft v{versionNumber} of the list of disadvantaged communities
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The download package includes draft v{versionNumber} of the list of disadvantaged communities
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(.csv and .xlsx) and information (.pdf) about how to use the list.
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`}
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description= {'download packet info text'}
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@ -196,13 +195,13 @@ export const CATEGORIES = {
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IF: <FormattedMessage
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id= {'indicator.categories.clean.energy.if'}
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defaultMessage= {`
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{if} at or above 90th percentile for {energyCostBur} OR {pm25}
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{if} at or above 90th percentile for {energyCostBur} score OR {pm25}
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`}
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description= {'if portion of the formula'}
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values= {{
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if: <strong>IF</strong>,
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energyCostBur: <a href='#energy-burden'>energy cost burden score</a>,
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pm25: <a href='#pm-25'>PM2.5</a>,
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energyCostBur: <a href='#energy-burden'>energy cost burden</a>,
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pm25: <a href='#pm-25'>PM2.5 in the air</a>,
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}}
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/>,
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AND: <FormattedMessage
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@ -238,7 +237,7 @@ export const CATEGORIES = {
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description= {'if portion of the formula'}
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values= {{
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if: <strong>IF</strong>,
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dieselPM: <a href='#diesel-pm'>diesel particulate matter</a>,
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dieselPM: <a href='#diesel-pm'>diesel particulate matter exposure</a>,
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traffic: <a href='#traffic-vol'>traffic proximity and volume</a>,
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}}
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/>,
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@ -270,14 +269,14 @@ export const CATEGORIES = {
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IF: <FormattedMessage
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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 less than
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90th percentile OR at or above the 90th percentile for the {houseBur}
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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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`}
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description= {'if portion of the formula'}
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values= {{
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if: <strong>IF</strong>,
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lead: <a href='#lead-paint'>lead paint</a>,
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medianHomeVal: <a href='#median-home'>the median home value</a>,
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medianHomeVal: <a href='#median-home'>low median home value</a>,
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houseBur: <a href='#house-burden'>housing cost burden</a>,
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}}
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/>,
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@ -315,8 +314,8 @@ export const CATEGORIES = {
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values= {{
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if: <strong>IF</strong>,
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proxHaz: <a href='#prox-haz'>proximity to hazardous waste facilities</a>,
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proxNPL: <a href='#prox-npl'>proximity to NLP sites</a>,
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proxRMP: <a href='#prox-rmp'>proximity to RMP sites</a>,
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proxNPL: <a href='#prox-npl'>proximity to NPL sites</a>,
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proxRMP: <a href='#prox-rmp'>proximity to RMP facilities</a>,
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}}
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/>,
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AND: <FormattedMessage
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@ -422,15 +421,15 @@ export const CATEGORIES = {
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IF: <FormattedMessage
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id= {'indicator.categories.work.dev.if'}
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defaultMessage= {`
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{if} at or above 90th percentile for {lowMedInc} OR
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at or above the 90th percentile for {linIso} OR
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{if} at or above the 90th percentile for {lowMedInc} as a percent of area median income OR
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{linIso} OR
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{unemploy} OR
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for percentage individuals in households at or below 100% federal {poverty} level at or above 90%
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percent individuals in households at or below 100% federal {poverty} level
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`}
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description= {'if portion of the formula'}
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values= {{
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if: <strong>IF</strong>,
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lowMedInc: <a href='#low-med-inc'>low median income relative to area median income</a>,
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lowMedInc: <a href='#low-med-inc'>low median income</a>,
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linIso: <a href='#ling-iso'>linguistic isolation</a>,
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unemploy: <a href='#unemploy'>unemployment</a>,
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poverty: <a href='#poverty'>poverty</a>,
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@ -439,7 +438,7 @@ export const CATEGORIES = {
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AND: <FormattedMessage
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id= {'indicator.categories.work.dev.and'}
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defaultMessage= {`
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{and} where {highSchool} for adults 25 years and older is less than 90%
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{and} where {highSchool} for adults 25 years and older is at or less than 90%
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`}
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description= {'and portion of the formula'}
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values= {{
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@ -507,7 +506,7 @@ export const DATASET_CARD_LABELS = defineMessages({
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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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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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@ -532,9 +531,13 @@ export const INDICATORS = [
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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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indicator: 'Expected agriculture loss rate',
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description: `
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Economic loss rate to agriculture resulting from natural hazards each year.
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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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@ -543,9 +546,13 @@ export const INDICATORS = [
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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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indicator: 'Expected building loss rate',
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description: `
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Economic loss rate to buildings resulting from natural hazards each year.
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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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@ -554,16 +561,20 @@ export const INDICATORS = [
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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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indicator: 'Expected population loss rate',
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description: `
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Rate relative to the population in fatalities and injuries resulting from natural hazards each
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year. Population loss is defined as the Spatial Hazard Events and Losses or National Centers
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for Environmental Information’s reported number of fatalities and injuries caused by the
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hazard occurrence. To combine fatalities and injuries for the computation of population loss value,
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an injury is counted as one-tenth (1/10) of a fatality. The NCEI Storm Events Database
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classifies injuries and fatalities as direct or indirect. Both direct and indirect injuries
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and fatalities are counted as population loss. This total number of injuries and fatalities is
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then divided by the population in the census tract to get a per-capita rate of population risk.
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Rate relative to the population in fatalities and injuries due to natural hazards each year.
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Fourteen natural hazards that have some link to climate change include: avalanche, coastal
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flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine
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flooding, strong wind, tornado, wildfire, and winter weather.
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Population loss is defined as the Spatial Hazard Events and Losses or National Centers
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for Environmental Information’s (NCEI) reported number of fatalities and injuries caused by the
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hazard occurrence. To combine fatalities and injuries for the computation of population loss value,
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an injury is counted as one-tenth (1/10) of a fatality. The NCEI Storm Events Database
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classifies injuries and fatalities as direct or indirect. Both direct and indirect injuries
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and fatalities are counted as population loss. This total number of injuries and fatalities
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is then divided by the population in the census tract to get a per-capita rate of population risk.
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`,
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usedIn: `Climate change methodology`,
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respPartyLabel: `Federal Emergency Management Agency (FEMA)`,
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@ -572,7 +583,7 @@ export const INDICATORS = [
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},
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{
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domID: 'energy-burden',
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indicator: 'Energy burden',
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indicator: 'Energy cost burden',
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description: `Average annual energy cost ($) divided by household income.`,
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usedIn: `Clean energy and energy efficiency methodology`,
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respPartyLabel: `Department of Energy (DOE) LEAD Score`,
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@ -581,7 +592,7 @@ export const INDICATORS = [
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},
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{
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domID: 'pm-25',
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indicator: 'PM2.5',
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indicator: 'PM2.5 in the air',
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description: `Fine inhalable particles, with diameters that are generally
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2.5 micrometers and smaller.`,
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usedIn: `Clean energy and energy efficiency methodology`,
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@ -592,7 +603,7 @@ export const INDICATORS = [
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},
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{
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domID: 'diesel-pm',
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indicator: 'Diesel particulate matter',
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indicator: 'Diesel particulate matter exposure',
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description: `Mixture of particles that is part of diesel exhaust in the air.`,
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usedIn: `Clean transportation methodology`,
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respPartyLabel: `Environmental Protection Agency (EPA) National Air Toxics Assessment (NATA)
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@ -613,8 +624,10 @@ export const INDICATORS = [
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{
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domID: 'house-burden',
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indicator: 'Housing cost burden',
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description: `Households that are low income and spend more than 30% of their
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income to housing costs.`,
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description: `
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The percent of households in a census tract that are both earning less than 80% of HUD Area Median
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Family Income by county and are paying greater than 30% of their income to housing costs.
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`,
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usedIn: `Affordable and sustainable housing methodology`,
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respPartyLabel: `Department of Housing & Urban Development’s
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(HUD) Comprehensive Housing Affordability Strategy dataset`,
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@ -624,8 +637,9 @@ export const INDICATORS = [
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{
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domID: 'lead-paint',
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indicator: 'Lead paint',
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description: `Percent of housing units built pre-1960, used as an
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indicator of potential lead paint exposure in homes.`,
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description: `
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Percent of housing units built pre-1960, used as an indicator of potential lead paint exposure in
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tracts with median home values less than 90th percentile `,
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usedIn: `Affordable and sustainable housing methodology`,
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respPartyLabel: `Census's American Community Survey`,
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dataSourceURL: `https://www.census.gov/programs-surveys/acs`,
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@ -633,8 +647,8 @@ export const INDICATORS = [
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},
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{
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domID: 'median-home',
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indicator: 'Median home value',
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description: `Median home value of owner-occupied housing units in the area.`,
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indicator: 'Low median home value',
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description: `Median home value of owner-occupied housing units in the census tract.`,
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usedIn: `Affordable and sustainable housing methodology`,
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respPartyLabel: `Census's American Community Survey`,
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dataSourceURL: `https://www.census.gov/programs-surveys/acs`,
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@ -644,19 +658,20 @@ export const INDICATORS = [
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domID: 'prox-haz',
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indicator: 'Proximity to hazardous waste facilities',
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description: `
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Count of hazardous waste facilities (Treatment, Storage, and Disposal Facilities and Large
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Quantity Generators) within 5 km (or nearest beyond 5 km), each divided by distance in kilometers.
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`,
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Count of hazardous waste facilities (Treatment, Storage, and Disposal Facilities and Large
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Quantity Generators) within 5 km (or nearest beyond 5 km), each divided by distance in kilometers.
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`,
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usedIn: `Reduction and remediation of legacy pollution methodology`,
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respPartyLabel: `
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Environmental Protection Agency (EPA) TSDF data calculated from EPA RCRAinfo database
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as compiled by EPA’s EJSCREEN`,
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dataSourceURL: `https://www.census.gov/programs-surveys/acs`,
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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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dataSourceURL: `https://enviro.epa.gov/facts/rcrainfo/search.html`,
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dateRange: `2015-2020`,
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},
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{
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domID: 'prox-npl',
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indicator: 'Proximity to National Priorities List (NPL) Sites',
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indicator: 'Proximity to National Priorities List (NPL) sites',
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description: `
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Count of proposed or listed NPL - also known as superfund - sites within 5 km (or nearest one
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beyond 5 km), each divided by distance in kilometers.`,
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@ -667,7 +682,7 @@ export const INDICATORS = [
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},
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{
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domID: 'prox-rmp',
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indicator: 'Proximity to Risk Management Plan (RMP) Sites',
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indicator: 'Proximity to Risk Management Plan (RMP) facilities',
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description: `
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Count of RMP (potential chemical accident management plan) facilities within 5 km (or nearest
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one beyond 5 km), each divided by distance in kilometers.`,
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@ -690,7 +705,7 @@ export const INDICATORS = [
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{
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domID: 'asthma',
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indicator: 'Asthma',
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description: `Weighted number of respondents people who answer “yes” both
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description: `Weighted percent of people who answer “yes” both
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to both of the following questions: “Have you ever been told by a doctor,
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nurse, or other health professional that you have asthma?” and the question
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“Do you still have asthma?”`,
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@ -702,7 +717,7 @@ export const INDICATORS = [
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{
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domID: 'diabetes',
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indicator: 'Diabetes',
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description: `People ages 18 years and older who report having ever been
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description: `Weighted percent of people ages 18 years and older who report having ever been
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told by a doctor, nurse, or other health professionals that they have
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diabetes other than diabetes during pregnancy.`,
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usedIn: `Health burdens methodology`,
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@ -713,7 +728,7 @@ export const INDICATORS = [
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{
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domID: 'heart-disease',
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indicator: 'Heart disease',
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description: `People ages 18 years and older who report ever having been told
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description: `Weighted percent of people ages 18 years and older who report ever having been told
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by a doctor, nurse, or other health professionals that they had angina or
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coronary heart disease.`,
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usedIn: `Health burdens methodology`,
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@ -724,14 +739,21 @@ export const INDICATORS = [
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{
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domID: 'life-exp',
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indicator: 'Low life expectancy',
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description: `Average number of years of life a person who has attained a given age can expect to live.`,
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description: `
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Average number of years of life a person who has attained a given age can expect to live.
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Note: Unlike most of the other datasets, high values of this indicator indicate low burdens.
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For percentile calculations, the percentile is calculated in reverse order, so that the tract with
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the highest median income relative to area median income (lowest burden on this measure) is at the
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0th percentile, and the tract with the lowest median income relative to area median income
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(highest burden on this measure) is at the 100th percentile.
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`,
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usedIn: `Health burdens methodology`,
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respPartyLabel: `CDC’s U.S. Small-area Life Expectancy Estimates Project (USALEEP)`,
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dataSourceURL: `https://www.cdc.gov/nchs/nvss/usaleep/usaleep.html#data`,
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dateRange: `2010-2015`,
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},
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{
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domID: 'median-income',
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domID: 'low-med-inc',
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indicator: 'Low median Income',
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description: `Median income of the census tract calculated as a percent of the area’s median income.`,
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usedIn: `Training and workforce development`,
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@ -742,8 +764,9 @@ export const INDICATORS = [
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{
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domID: 'ling-iso',
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indicator: 'Linguistic Isolation',
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description: `Households in which no one age 14 and over speaks English only or also speaks
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a language other than English`,
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description: `
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The percent of limited speaking households, which are households where no one over age 14 speaks English well.
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`,
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usedIn: `Training and workforce development`,
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respPartyLabel: `Census's American Community Survey`,
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dataSourceURL: `https://www.census.gov/programs-surveys/acs`,
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Loading…
Add table
Add a link
Reference in a new issue