diff --git a/client/src/components/AreaDetail/tests/__snapshots__/areaDetail.test.tsx.snap b/client/src/components/AreaDetail/tests/__snapshots__/areaDetail.test.tsx.snap index dc174f21..1186fd43 100644 --- a/client/src/components/AreaDetail/tests/__snapshots__/areaDetail.test.tsx.snap +++ b/client/src/components/AreaDetail/tests/__snapshots__/areaDetail.test.tsx.snap @@ -57,7 +57,7 @@ exports[`rendering of the AreaDetail checks if indicators for ISLAND AREAS are p - proximity to NPL sites + proximity to National Priorities List (NPL) sites OR - proximity to RMP facilities + proximity to Risk Management Plan (RMP) facilities @@ -473,7 +473,7 @@ exports[`rendering of the Categories checks if component renders 1`] = ` > low median income - as a percent of area median income OR + as a percentage of area median income OR
- Percent of agriculture value at risk from losses due to natural hazards that have some link + Percent of agriculture value at risk from losses due to fourteen types of + natural hazards that have some link to climate change: avalanche, coastal flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine flooding, strong wind, tornado, wildfire, and winter weather. Rate calculated by dividing the agriculture value at risk in @@ -203,7 +204,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
- Percent of building value at risk from losses due to natural hazards + Percent of building value at risk from losses due to fourteen types of natural hazards that have some link to climate change: avalanche, coastal flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine flooding, strong wind, tornado, wildfire, and winter weather. Rate calculated by dividing the building value at risk in @@ -254,7 +255,8 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
- Rate relative to the population in fatalities and injuries due to natural hazards each year + Rate relative to the population of fatalities and injuries due to fourteen types of + natural hazards each year that have some link to climate change: avalanche, coastal flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine flooding, strong wind, tornado, wildfire, and winter weather. Population loss is defined @@ -310,7 +312,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis Energy burden
- Average annual energy cost per household ($) divided by household average income. + Average annual energy cost per household ($) divided by average household income.
- A census tract is generally between 1,200 and 8,000 people, with an average size of 4,000 people. + A census tract is generally between 1,200 to 8,000 people, with an average size of 4,000 people. Census tracts are small, relatively permanent subdivisions of a county defined by the U.S. Census Bureau and usually cover a contiguous area. The census tract level currently represents the smallest geographical unit for which publicly-available and nationally-consistent datasets can diff --git a/client/src/data/copy/about.tsx b/client/src/data/copy/about.tsx index e391493a..af33202f 100644 --- a/client/src/data/copy/about.tsx +++ b/client/src/data/copy/about.tsx @@ -4,7 +4,7 @@ import {FormattedMessage} from 'gatsby-plugin-intl'; import LinkTypeWrapper from '../../components/LinkTypeWrapper'; -export const EXEC_ORDER_LINK = 'https://www.whitehouse.gov/briefing-room/presidential-actions/2021/01/27/executive-order-on-tackling-the-climate-crisis-at-home-and-abroad/'; +export const EXEC_ORDER_LINK = 'https://www.federalregister.gov/documents/2021/02/01/2021-02177/tackling-the-climate-crisis-at-home-and-abroad#:~:text=Sec.%20223.%20Justice40,40-percent%20goal.'; export const PAGE = defineMessages({ TILE: { @@ -57,7 +57,7 @@ export const HEADING_1 = { to create a Climate and Economic Justice Screening Tool. The purpose of the tool is to help Federal agencies identify disadvantaged communities that are marginalized, underserved, and overburdened by pollution. The current version of the tool provides socioeconomic, environmental, - health and climate information to inform decisions that may affect these communities. The + and climate information to inform decisions that may affect these communities. The tool identifies disadvantaged communities through publicly-available, nationally-consistent datasets. `} values={{ diff --git a/client/src/data/copy/contact.tsx b/client/src/data/copy/contact.tsx index a06b0256..cadcb582 100644 --- a/client/src/data/copy/contact.tsx +++ b/client/src/data/copy/contact.tsx @@ -41,7 +41,7 @@ export const CENSUS_TRACT_FEEDBACK = { id={'contact.page.census.tract.feedback.para1'} defaultMessage={` To provide feedback about a specific census tract, either select the send feedback button after - finding a tract on the {exploreLink} page or use the email address provided above. Please + selecting a census tract on the {exploreLink} page or use the email address provided above. Please include the census tract ID, county, and state or territory information, in addition to your feedback. `} description={'census tract feedback section'} diff --git a/client/src/data/copy/explore.tsx b/client/src/data/copy/explore.tsx index 3c84fca9..30c08cd5 100644 --- a/client/src/data/copy/explore.tsx +++ b/client/src/data/copy/explore.tsx @@ -23,8 +23,8 @@ export const PAGE_INTRO = defineMessages({ export const PAGE_DESCRIPTION = , coordinateTribal: IF, proxHaz: proximity to hazardous waste facilities, - proxNPL: proximity to NPL sites, - proxRMP: proximity to RMP facilities, + proxNPL: proximity to National Priorities List (NPL) sites, + proxRMP: proximity to Risk Management Plan (RMP) facilities, }} />, AND: CATEGORY_AND_CLAUSE.LOW_INC_65_WHEN_HIGH_ED_LTE_20, @@ -463,7 +463,7 @@ export const CATEGORIES = { IF: , usedIn: CATEGORIES.CLEAN_ENERGY.METHODOLOGY, @@ -1028,7 +1030,7 @@ export const INDICATORS = [ id= {'category.lead.paint.description.text'} defaultMessage= {` Percent of housing units built pre-1960, used as an indicator of potential lead paint exposure in - tracts with median home values less than the 90th percentile. + census tracts with median home values less than the 90th percentile. `} description= {'description text for lead paint'} />, @@ -1218,10 +1220,10 @@ export const INDICATORS = [ note:

Note:{` Unlike most of the other datasets, high values of this data indicate low burdens. For percentile calculations of burden, the percentile is calculated in reverse order, so that the - tract with the highest life expectancy relative to area life expectancy (lowest burden on this - measure) is at the 0th percentile, and the tract with the lowest life expectancy relative to - area life expectancy (highest burden on this measure) is at the 100th percentile. Tracts with - the highest number have the lowest life expectancy. + census tract with the highest life expectancy relative to area life expectancy (lowest burden + on this measure) is at the 0th percentile, and the census tract with the lowest life + expectancy relative to area life expectancy (highest burden on this measure) is at the + 100th percentile. Census tracts with the highest number have the lowest life expectancy. `}

, }} />, @@ -1248,9 +1250,9 @@ export const INDICATORS = [ note:

Note:{` Unlike most of the other datasets, high values of this data indicate low burdens. For percentile calculations of burden, the percentile is calculated in reverse order, so that the - tract with the highest median income relative to area median income (lowest burden on this - measure) is at the 0th percentile, and the tract with the lowest median income relative to - area median income (highest burden on this measure) is at the 100th percentile. Tracts with + census tract with the highest median income relative to area median income (lowest burden on this + measure) is at the 0th percentile, and the census tract with the lowest median income relative to + area median income (highest burden on this measure) is at the 100th percentile. Census tracts with the highest number have the lowest median income. `}

, }} @@ -1270,11 +1272,11 @@ export const INDICATORS = [ }, { domID: 'ling-iso', - indicator: 'Linguistic Isolation', + indicator: 'Linguistic isolation', description: , @@ -1293,7 +1295,7 @@ export const INDICATORS = [ description: , @@ -1316,7 +1318,7 @@ export const INDICATORS = [ description: To provide feedback about a specific census tract, either select the send feedback button after - finding a tract on the + selecting a census tract on the diff --git a/client/src/pages/__snapshots__/index.test.tsx.snap b/client/src/pages/__snapshots__/index.test.tsx.snap index b12e0331..bf6cc1d4 100644 --- a/client/src/pages/__snapshots__/index.test.tsx.snap +++ b/client/src/pages/__snapshots__/index.test.tsx.snap @@ -346,7 +346,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis @@ -360,7 +360,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis to create a Climate and Economic Justice Screening Tool. The purpose of the tool is to help Federal agencies identify disadvantaged communities that are marginalized, underserved, and overburdened by pollution. The current version of the tool provides socioeconomic, environmental, - health and climate information to inform decisions that may affect these communities. The + and climate information to inform decisions that may affect these communities. The tool identifies disadvantaged communities through publicly-available, nationally-consistent datasets.

@@ -423,7 +423,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis diff --git a/client/src/pages/__snapshots__/methodology.test.tsx.snap b/client/src/pages/__snapshots__/methodology.test.tsx.snap index d57b2de6..ae6057cc 100644 --- a/client/src/pages/__snapshots__/methodology.test.tsx.snap +++ b/client/src/pages/__snapshots__/methodology.test.tsx.snap @@ -320,7 +320,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis which publicly-available and nationally-consistent datasets can be consistently displayed on the tool. Census tract geographical boundaries are determined by the U.S. Census Bureau once every ten years. This tool utilizes the census tract boundaries from 2010 because they match the datasets used - in the tool. The U.S. Census Bureau will update these tract boundaries in 2020. + in the tool. The U.S. Census Bureau will update these census tract boundaries in 2020.

@@ -337,7 +337,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis IF - the tract is above the threshold for one or more environmental or climate indicators + the census tract is above the threshold for one or more environmental or climate indicators

@@ -346,7 +346,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis AND - the tract is above the threshold for the socioeconomic indicators + the census tract is above the threshold for the socioeconomic indicators

@@ -355,7 +355,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis Communities are identified as disadvantaged by the current version of the tool for the purposes of the Justice40 Initiative if they are located in census tracts that are at or above the - combined thresholds in one or more of eight categories of criteria below. + thresholds in one or more of eight categories of criteria below.

@@ -372,7 +372,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
- Draft communities list v0.1 (111MB) + Draft communities list v0.1 (52MB unzipped)
@@ -704,13 +704,13 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis - proximity to NPL sites + proximity to National Priorities List (NPL) sites OR - proximity to RMP facilities + proximity to Risk Management Plan (RMP) facilities @@ -883,7 +883,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis > low median income - as a percent of area median income OR + as a percentage of area median income OR
- Percent of agriculture value at risk from losses due to natural hazards that have some link + Percent of agriculture value at risk from losses due to fourteen types of + natural hazards that have some link to climate change: avalanche, coastal flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine flooding, strong wind, tornado, wildfire, and winter weather. Rate calculated by dividing the agriculture value at risk in @@ -1133,7 +1134,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
- Percent of building value at risk from losses due to natural hazards + Percent of building value at risk from losses due to fourteen types of natural hazards that have some link to climate change: avalanche, coastal flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine flooding, strong wind, tornado, wildfire, and winter weather. Rate calculated by dividing the building value at risk in @@ -1184,7 +1185,8 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
- Rate relative to the population in fatalities and injuries due to natural hazards each year + Rate relative to the population of fatalities and injuries due to fourteen types of + natural hazards each year that have some link to climate change: avalanche, coastal flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine flooding, strong wind, tornado, wildfire, and winter weather. Population loss is defined @@ -1240,7 +1242,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis Energy burden
- Average annual energy cost per household ($) divided by household average income. + Average annual energy cost per household ($) divided by average household income.
  • @@ -1484,7 +1486,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
    Percent of housing units built pre-1960, used as an indicator of potential lead paint exposure in - tracts with median home values less than the 90th percentile. + census tracts with median home values less than the 90th percentile.
      @@ -1931,10 +1933,10 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis Unlike most of the other datasets, high values of this data indicate low burdens. For percentile calculations of burden, the percentile is calculated in reverse order, so that the - tract with the highest life expectancy relative to area life expectancy (lowest burden on this - measure) is at the 0th percentile, and the tract with the lowest life expectancy relative to - area life expectancy (highest burden on this measure) is at the 100th percentile. Tracts with - the highest number have the lowest life expectancy. + census tract with the highest life expectancy relative to area life expectancy (lowest burden + on this measure) is at the 0th percentile, and the census tract with the lowest life + expectancy relative to area life expectancy (highest burden on this measure) is at the + 100th percentile. Census tracts with the highest number have the lowest life expectancy.

      @@ -1993,9 +1995,9 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis Unlike most of the other datasets, high values of this data indicate low burdens. For percentile calculations of burden, the percentile is calculated in reverse order, so that the - tract with the highest median income relative to area median income (lowest burden on this - measure) is at the 0th percentile, and the tract with the lowest median income relative to - area median income (highest burden on this measure) is at the 100th percentile. Tracts with + census tract with the highest median income relative to area median income (lowest burden on this + measure) is at the 0th percentile, and the census tract with the lowest median income relative to + area median income (highest burden on this measure) is at the 100th percentile. Census tracts with the highest number have the lowest median income.

      @@ -2063,11 +2065,11 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis id="ling-iso" >

      - Linguistic Isolation + Linguistic isolation

      - Percent of households, which are households, where no one over the age fourteen speaks English well. + Percent of households where no one over the age 14 speaks English well.
        @@ -2114,7 +2116,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
        - Number of unemployed people as a percentage of the civilian labor force + Number of unemployed people as a percentage of the civilian labor force.
          @@ -2182,7 +2184,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
          - Percent of a tract's population in households where the household income is at or below 100% of + Percent of a census tract's population in households where the household income is at or below 100% of the Federal poverty level.