20240206
14304900
1.0
FALSE
SandyWilliamsEquityNeeds
002
579552.210949
2550984.259547
81836.444058
1355597.214445
1
Projected
GCS_North_American_1983_HARN
Linear Unit: Foot_US (0.304801)
NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet
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20240617
11105900
20240617
11105900
150000000
5000
FGDC
FGDC CSDGM Metadata
dataset
20240617
Jordyn Mitchell
Washington State Department of Transportation, Office of Information Technology
GIS Database Administrator
US
jordyn.mitchell@wsdot.wa.gov
Jordyn Mitchell
Download individual data sets from https://gisdata-wsdot.opendata.arcgis.com
Feature Class
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>For planning use only. </SPAN><SPAN><SPAN>The Washington State Department of Transportation shall not be liable for any activity involving these data, including, but not limited to, lost profits or savings or any other economic or consequential damages. Nor does the Department warrant the fitness of the data for use for a particular purpose, or the installation of the data, its use, or the results obtained.</SPAN></SPAN></P></DIV></DIV></DIV>
Washington State
vector digital data
Sandy Williams Equity Needs
2022-12-01T00:00:00
2022-12-01T00:00:00
Toole Design
Toole Design
Consultant
8484 Georgia Avenue, Suite 800
Silver Spring
Maryland
20910
US
wsdotccppteam@tooledesign.com
301.927.1900
WSDOT
WA
DOT
Washington
State
Department
Transportation
Washington State Department of Transportation
Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388
WA
Washington
ISO 19115 Topic Category
Transportation, Equity
Washington State OCIO Data Classification
Public information is information that can be or currently is released to the public. It does not need protection from unauthorized disclosure but does need integrity and availability protection controls.
1
-124.915071
-116.709387
49.049345
45.481431
Identifying high equity need block groups for the purpose of project selection for the Connecting Communities Pilot Program (CCPP). This feature class contains the full geography for all block groups. The analysis was performed by Toole Design with guidance from WSDOT in 2022.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This analysis scores Census Block Groups in Washington based on their degree of equity and environmental justice need for the purpose of identifying and prioritizing investment locations for the Connecting Communities Pilot Program. Each Block Group receives a score based on several factors related to vulnerable populations and environmentally burdened communities, and these scores are added together to create the final score. See the accompanying methodology word document for a full list of factors. Original data sources are the U.S. Census 2016-2020 American Community Survey (ACS) and the Washington Environmental Health Disparities (EHD) Map.</SPAN></P><P><SPAN>Individual scores are calculated for each measure, which then sum up to aggregate scores for vulnerable populations and overburdened communities as well as a combined final score. Block Group scores based on demographic measures from the ACS data are calculated relative to other Block Groups in similarly sized population centers or in tribal areas. </SPAN><SPAN><SPAN>If a Block Group’s value for a given demographic measure is at or above the 80</SPAN></SPAN><SPAN><SPAN>th </SPAN></SPAN><SPAN><SPAN>percentile within its population center size category, it is given 2 points for that factor. If its value is at or above the 60</SPAN></SPAN><SPAN><SPAN>th </SPAN></SPAN><SPAN>percentile within its population center size category, it is given 1 point. All other Block Groups receive 0 points for that factor. Block groups that overlap with or touch multiple population centers that have different sizes are assigned the highest possible point value based on all overlapping population centers. </SPAN><SPAN>For the health and environmental measures sourced from the EHD map, scores are applied based on the measure’s rank value. Block Groups with a rank of 9 or 10 are given 2 points, and Block Groups with a rank of 7 or 8 are given 1 point. This is applied statewide without any scaling within population center sizes, as is performed for the demographic metrics, to ensure that Block Groups with similar environmental or health burdens across the state are scored evenly. </SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>Here is a list of measures (included in attribute table), used to calculate the final score: 1. Population less than 18 years of age; 2. Population age 65 or older; 3. Housing cost-burdened households (spending over 30% of income on housing); 4. Black, Indigenous, People of color; 5. Households with 1 or more persons with a disability; 6. Ability to speak English – less than very well; 7. Household income below 200% of the federal poverty level; 8. Zero to one car households; 9. Unemployment; 10. Transportation expense (%) for moderate income families; 11. Limited access to healthy food; 12. Low birthweight (<2500 grams); 13. High rate of hospitalization, based on the maximum rank value from the following variables; (a) Death from cardiovascular disease, (b) Cancer deaths, (c) Lower life expectancy at birth, (d) Premature death; 14. Environmental exposures; 15. Environmental effects; 16. Diesel pollution burden</SPAN></P><P><SPAN>Finally, 1 additional point is given to Block Groups that fall within or touch a tribal area to give a slight priority to areas serving tribal populations. This score, along with the demographic measures from the ACS as well as the transportation expense, limited access to healthy food, low birthweight, and high rate of hospitalization measures from the EHD Map are summed together to create the total vulnerable population score. The three environmental measures from the EHD Map are summed together to create the total overburdened communities score. These two totals are summed to create the Block Group’s final score. </SPAN></P></DIV></DIV></DIV>
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>For Planning use only. </SPAN><SPAN><SPAN>The Washington State Department of Transportation shall not be liable for any activity involving these data, including, but not limited to, lost profits or savings or any other economic or consequential damages. Nor does the Department warrant the fitness of the data for use for a particular purpose, or the installation of the data, its use, or the results obtained.</SPAN></SPAN></P></DIV></DIV></DIV>
5183
EPSG
6.3(9.0.0)
SandyWilliamsEquityNeeds
Feature Class
5183
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
SHAPE
Shape
Geometry
4
0
0
Feature geometry.
Esri
Coordinates defining the features.
geoid
geoid
String
12
0
0
Geographic identifier for the block group from the U.S. Census
pop_under18_score
pop_under18_score
Integer
4
10
0
Score based on the percent of population under age 18, using 2020 ACS data
pop_over64_score
pop_over64_score
Integer
4
10
0
Score based on the percent of population age 65 and older, using 2020 ACS data
cost_burdened_hh_score
cost_burdened_hh_score
Integer
4
10
0
Score based on the percent of households cost-burdened by housing costs (spending over 30% of income on housing), based on 2020 ACS
hh_with_disability_score
hh_with_disability_score
Integer
4
10
0
Score based on the percent of households with 1 or more persons with a disability, using 2020 ACS data
english_less_than_very_well_sco
english_less_than_very_well_score
Integer
4
10
0
people_of_color_score
people_of_color_score
Integer
4
10
0
Score based on the percent of population Black, Indigenous, or People of Color based on 2020 ACS data
below_200_pct_poverty_score
below_200_pct_poverty_score
Integer
4
10
0
Score based on the percent of households with income below 200% of the federal poverty level, based on 2020 ACS data
transportation_spend_score
transportation_spend_score
Integer
4
10
0
Score based on the EHD indicator for transportation expense (percent) for moderate income families
hh_limited_vehicles_score
hh_limited_vehicles_score
Integer
4
10
0
Score based on the percent of households with one or zero vehicles, using 2020 ACS data
unemployed_score
unemployed_score
Integer
4
10
0
Score based on the percent of working age population unemployed, using 2020 ACS data
limited_food_access_score
limited_food_access_score
Integer
4
10
0
Score based on the EHD indicator of limited access to healthy food
low_birthweight_score
low_birthweight_score
Integer
4
10
0
Score based on the EHD indicator of low birthweight (<2500 grams)
high_hospitalization_score
high_hospitalization_score
Integer
4
10
0
Score based on high rate of hospitalization indicators from the EHD map, based on the maximum rank value from the following variables: death from cardiovascular disease, cancer deaths, lower life expectancy at birth, premature death
tribal_location_score
tribal_location_score
Integer
4
10
0
Additional potential 1 point for block groups that fall within or touch a tribal area
enviro_exposure_score
enviro_exposure_score
Integer
4
10
0
Score based on the EHD environmental exposures indicator
enviro_effects_score
enviro_effects_score
Integer
4
10
0
Score based on the EHD environmental effects score
diesel_pollution_score
diesel_pollution_score
Integer
4
10
0
Score based on the EHD diesel pollution indicator
total_vulnerable_score
total_vulnerable_score
Integer
4
10
0
Total vulnerable population score, which is the sum of all scores except enviro_exposure_score, enviro_effects_score, and diesel_pollution_score.
total_overburdened_score
total_overburdened_score
Integer
4
10
0
Total environmental overburdened score, which is the sum of the scores: enviro_exposure_score, enviro_effects_score, and diesel_pollution_score.
final_score
final_score
Integer
4
10
0
Final equity need score, which is the sum of the total_vulnerable_score and the total_overburdened_score.
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
Simple
FALSE
5183
TRUE
FALSE
Toole Design
Toole Design
Consultant
8484 Georgia Avenue, Suite 800
Silver Spring
Maryland
20910
US
301.927.1900
Toole Design
U.S. Census American Community Survey (2016-2020)
Washington Environmental Health Disparities (EHD) Map
Brian Fulfrost
Washington State Department of Transportation
GIS Specialist - Active Transportation
fulfrob@wsdot.wa.gov
310 Maple Park Avenue SE, P.O. Box 47300
Olympia
WA
98504-7300