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Add consistency copy changes from CEQ (#1407)
* Add consistency copy from CEQ - update snapshots * modify note on Tribal Nations link
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14 changed files with 97 additions and 91 deletions
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@ -22,7 +22,7 @@ export const PAGE = defineMessages({
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which publicly-available and nationally-consistent datasets can be consistently displayed on the
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tool. Census tract geographical boundaries are determined by the U.S. Census Bureau once every ten
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years. This tool utilizes the census tract boundaries from 2010 because they match the datasets used
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in the tool. The U.S. Census Bureau will update these tract boundaries in 2020.
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in the tool. The U.S. Census Bureau will update these census tract boundaries in 2020.
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`,
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description: 'methodology page paragraph',
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},
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@ -31,7 +31,7 @@ export const PAGE = defineMessages({
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defaultMessage: `
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Communities are identified as disadvantaged by the current version of the tool for the purposes of
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the Justice40 Initiative if they are located in census tracts that are at or above the
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combined thresholds in one or more of eight categories of criteria below.
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thresholds in one or more of 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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@ -54,7 +54,7 @@ export const FORMULA = {
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IF: <FormattedMessage
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id={'methodology.page.formula.first'}
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defaultMessage={ `
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{if} the tract is above the threshold for one or more environmental or climate indicators
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{if} the census tract is above the threshold for one or more environmental or climate indicators
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`}
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description={'the first part of the formula used in the methodology'}
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values= {{
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@ -64,7 +64,7 @@ export const FORMULA = {
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AND: <FormattedMessage
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id={'methodology.page.formula.second'}
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defaultMessage={ `
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{and} the tract is above the threshold for the socioeconomic indicators
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{and} the census tract is above the threshold for the socioeconomic indicators
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`}
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description={'the second part of the formula used in the methodology'}
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values= {{
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@ -82,7 +82,7 @@ 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 = '52MB unzipped';
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export const DOWNLOAD_LAST_UPDATED = '2/18/22';
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export const DOWNLOAD_LAST_UPDATED_ES = '18/2/22';
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export const VERSION_NUMBER = '0.1';
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@ -365,8 +365,8 @@ 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 NPL sites</a>,
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proxRMP: <a href='#prox-rmp'>proximity to RMP facilities</a>,
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proxNPL: <a href='#prox-npl'>proximity to National Priorities List (NPL) sites</a>,
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proxRMP: <a href='#prox-rmp'>proximity to Risk Management Plan (RMP) facilities</a>,
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}}
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/>,
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AND: CATEGORY_AND_CLAUSE.LOW_INC_65_WHEN_HIGH_ED_LTE_20,
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@ -463,7 +463,7 @@ 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 the 90th percentile for {lowMedInc} as a percent of area median income OR
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{if} at or above the 90th percentile for {lowMedInc} as a percentage of area median income OR
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{linIso} OR
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{unemploy} OR
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percent individuals in households at or below 100% Federal {poverty} level
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@ -854,7 +854,8 @@ export const INDICATORS = [
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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 that have some link
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Percent of agriculture value at risk from losses due to fourteen types of
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natural hazards that have some link
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to climate change: 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. Rate calculated by dividing the agriculture value at risk in
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@ -877,7 +878,7 @@ export const INDICATORS = [
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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
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Percent of building value at risk from losses due to fourteen types of natural hazards
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that have some link to climate change: 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. Rate calculated by dividing the building value at risk in
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@ -900,7 +901,8 @@ export const INDICATORS = [
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description: <FormattedMessage
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id= {'category.exp.pop.loss.rate.description.text'}
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defaultMessage= {`
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Rate relative to the population in fatalities and injuries due to natural hazards each year
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Rate relative to the population of fatalities and injuries due to fourteen types of
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natural hazards each year
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that have some link to climate change: 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. Population loss is defined
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@ -928,7 +930,7 @@ export const INDICATORS = [
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indicator: 'Energy burden',
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description: <FormattedMessage
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id= {'category.energy.burden.description.text'}
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defaultMessage= {`Average annual energy cost per household ($) divided by household average income.`}
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defaultMessage= {`Average annual energy cost per household ($) divided by average household income.`}
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description= {'description text for energy burden'}
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/>,
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usedIn: CATEGORIES.CLEAN_ENERGY.METHODOLOGY,
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@ -1028,7 +1030,7 @@ export const INDICATORS = [
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id= {'category.lead.paint.description.text'}
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defaultMessage= {`
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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 the 90th percentile.
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census tracts with median home values less than the 90th percentile.
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`}
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description= {'description text for lead paint'}
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/>,
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@ -1218,10 +1220,10 @@ export const INDICATORS = [
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note: <p><strong>Note:</strong>{`
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Unlike most of the other datasets, high values of this data indicate low burdens. For
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percentile calculations of burden, the percentile is calculated in reverse order, so that the
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tract with the highest life expectancy relative to area life expectancy (lowest burden on this
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measure) is at the 0th percentile, and the tract with the lowest life expectancy relative to
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area life expectancy (highest burden on this measure) is at the 100th percentile. Tracts with
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the highest number have the lowest life expectancy.
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census tract with the highest life expectancy relative to area life expectancy (lowest burden
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on this measure) is at the 0th percentile, and the census tract with the lowest life
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expectancy relative to area life expectancy (highest burden on this measure) is at the
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100th percentile. Census tracts with the highest number have the lowest life expectancy.
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`}</p>,
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}}
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/>,
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@ -1248,9 +1250,9 @@ export const INDICATORS = [
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note: <p><strong>Note:</strong>{`
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Unlike most of the other datasets, high values of this data indicate low burdens. For
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percentile calculations of burden, the percentile is calculated in reverse order, so that the
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tract with the highest median income relative to area median income (lowest burden on this
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measure) is at the 0th percentile, and the tract with the lowest median income relative to
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area median income (highest burden on this measure) is at the 100th percentile. Tracts with
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census tract with the highest median income relative to area median income (lowest burden on this
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measure) is at the 0th percentile, and the census tract with the lowest median income relative to
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area median income (highest burden on this measure) is at the 100th percentile. Census tracts with
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the highest number have the lowest median income.
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`}</p>,
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}}
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@ -1270,11 +1272,11 @@ export const INDICATORS = [
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},
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{
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domID: 'ling-iso',
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indicator: 'Linguistic Isolation',
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indicator: 'Linguistic isolation',
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description: <FormattedMessage
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id= {'category.linguistic.iso.description.text'}
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defaultMessage= {`
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Percent of households, which are households, where no one over the age fourteen speaks English well.
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Percent of households where no one over the age 14 speaks English well.
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`}
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description= {'description text for linguistic isolation'}
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/>,
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@ -1293,7 +1295,7 @@ export const INDICATORS = [
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description: <FormattedMessage
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id= {'category.unemploy.description.text'}
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defaultMessage= {`
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Number of unemployed people as a percentage of the civilian labor force
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Number of unemployed people as a percentage of the civilian labor force.
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`}
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description= {'description text for unemployment'}
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/>,
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@ -1316,7 +1318,7 @@ export const INDICATORS = [
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description: <FormattedMessage
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id= {'category.poverty.description.text'}
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defaultMessage= {`
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Percent of a tract's population in households where the household income is at or below 100% of
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Percent of a census tract's population in households where the household income is at or below 100% of
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the Federal poverty level.
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`}
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description= {'description text for poverty'}
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