ALR_NPCTL
(
type: esriFieldTypeDouble, alias: Expected Annual Loss Rate - National Percentile - Composite
)
ALR_VRA_NPCTL
(
type: esriFieldTypeDouble, alias: Social Vulnerability and Community Resilience Adjusted Expected Annual Loss Rate - National Percentile - Composite
)
SOVI_SCORE
(
type: esriFieldTypeDouble, alias: Social Vulnerability - Score
)
Name: Center for Disease Control Social Vulnerability Index (SVI)
Display Field: ST
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>See complete documentation here: </SPAN><A href="https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html</SPAN></SPAN></A><SPAN>. For additional questions, contact the SVI Lead at svi_coordinator@cdc.gov.</SPAN></P></DIV></DIV></DIV>
Copyright Text: CDC\ATSDR\Office of Innovation and Analytics\Geospatial Research, Analysis, and Services Program (GRASP)
Description: A large body of research has demonstrated that land use and urban form can have a significant effect on transportation outcomes. People who live and/or work in compact neighborhoods with a walkable street grid and easy access to public transit, jobs, stores, and services are more likely to have several transportation options to meet their everyday needs. As a result, they can choose to drive less, which reduces their emissions of greenhouse gases and other pollutants compared to people who live and work in places that are not location efficient. Walking, biking, and taking public transit can also save people money and improve their health by encouraging physical activity. The Smart Location Database summarizes several demographic, employment, and built environment variables for every census block group (CBG) in the United States. The database includes indicators of the commonly cited “D” variables shown in the transportation research literature to be related to travel behavior. The Ds include residential and employment density, land use diversity, design of the built environment, access to destinations, and distance to transit. SLD variables can be used as inputs to travel demand models, baseline data for scenario planning studies, and combined into composite indicators characterizing the relative location efficiency of CBG within U.S. metropolitan regions. This update features the most recent geographic boundaries (2019 Census Block Groups) and new and expanded sources of data used to calculate variables. Entirely new variables have been added and the methods used to calculate some of the SLD variables have changed. See https://www.epa.gov/smartgrowth/smart-location-mapping for more information.
Copyright Text: EPA Office of Community Revitalization
CSA_Name
(
type: esriFieldTypeString, alias: Name of CSA in which CBG resides, length: 100
)
CBSA
(
type: esriFieldTypeString, alias: FIPS for Core-Based Statistical Area (CBSA) in which CBG resides, length: 5
)
CBSA_Name
(
type: esriFieldTypeString, alias: Name of CBSA in which CBG resides, length: 100
)
CBSA_POP
(
type: esriFieldTypeDouble, alias: Total population in CBSA
)
CBSA_EMP
(
type: esriFieldTypeDouble, alias: Total employment in CBSA
)
CBSA_WRK
(
type: esriFieldTypeDouble, alias: Total number of workers that live in CBSA
)
Ac_Total
(
type: esriFieldTypeDouble, alias: Total geometric area (acres) of the CBG
)
Ac_Water
(
type: esriFieldTypeDouble, alias: Total water area (acres)
)
Ac_Land
(
type: esriFieldTypeDouble, alias: Total land area (acres)
)
Ac_Unpr
(
type: esriFieldTypeDouble, alias: Total land area (acres) that is not protected from development (i.e., not a park, natural area or conservation area)
)
P_WrkAge
(
type: esriFieldTypeDouble, alias: Percent of population that is working aged 18 to 64 years, 2018
)
AutoOwn0
(
type: esriFieldTypeInteger, alias: Number of households in CBG that own zero automobiles, 2018
)
Pct_AO0
(
type: esriFieldTypeDouble, alias: Percent of zero-car households in CBG, 2018
)
AutoOwn1
(
type: esriFieldTypeInteger, alias: Number of households in CBG that own one automobile, 2018
)
Pct_AO1
(
type: esriFieldTypeDouble, alias: Percent of one-car households in CBG, 2018
)
AutoOwn2p
(
type: esriFieldTypeInteger, alias: Number of households in CBG that own two or more automobiles, 2018
)
Pct_AO2p
(
type: esriFieldTypeDouble, alias: Percent of two-plus-car households in CBG, 2018
)
Workers
(
type: esriFieldTypeInteger, alias: Count of workers in CBG (home location), 2017
)
R_LowWageWk
(
type: esriFieldTypeInteger, alias: Count of workers earning $1250/month or less (home location), 2017
)
R_MedWageWk
(
type: esriFieldTypeInteger, alias: Count of workers earning more than $1250/month but less than $3333/month (home location), 2017
)
R_HiWageWk
(
type: esriFieldTypeInteger, alias: Count of workers earning $3333/month or more (home location), 2017
)
R_PCTLOWWAGE
(
type: esriFieldTypeDouble, alias: Percent of low wage workers in a CBG (home location), 2017
)
TotEmp
(
type: esriFieldTypeInteger, alias: Total employment, 2017
)
E5_Ret
(
type: esriFieldTypeInteger, alias: Retail jobs within a 5-tier employment classification scheme )
E5_Off
(
type: esriFieldTypeInteger, alias: Office jobs within a 5-tier employment classification scheme
)
E5_Ind
(
type: esriFieldTypeInteger, alias: Industrial jobs within a 5-tier employment classification scheme )
E5_Svc
(
type: esriFieldTypeInteger, alias: Service jobs within a 5-tier employment classification scheme )
E5_Ent
(
type: esriFieldTypeInteger, alias: Entertainment jobs within a 5-tier employment classification scheme )
E8_Ret
(
type: esriFieldTypeInteger, alias: Retail jobs within an 8-tier employment classification scheme )
E8_off
(
type: esriFieldTypeInteger, alias: Office jobs within an 8-tier employment classification scheme )
E8_Ind
(
type: esriFieldTypeInteger, alias: Industrial jobs within an 8-tier employment classification scheme )
E8_Svc
(
type: esriFieldTypeInteger, alias: Service jobs within an 8-tier employment classification scheme )
E8_Ent
(
type: esriFieldTypeInteger, alias: Entertainment jobs within an 8-tier employment classification scheme )
E8_Ed
(
type: esriFieldTypeInteger, alias: Education jobs within an 8-tier employment classification scheme )
E8_Hlth
(
type: esriFieldTypeInteger, alias: Health care jobs within an 8-tier employment classification scheme )
E8_Pub
(
type: esriFieldTypeInteger, alias: Public administration jobs within an 8-tier employment classification scheme )
E_LowWageWk
(
type: esriFieldTypeInteger, alias: Number of workers earning $1250/month or less (work location), 2017
)
E_MedWageWk
(
type: esriFieldTypeInteger, alias: Number of workers earning more than $1250/month but less than $3333/month (work location), 2017
)
E_HiWageWk
(
type: esriFieldTypeInteger, alias: Numberof workers earning $3333/month or more (work location), 2017
)
E_PctLowWage
(
type: esriFieldTypeDouble, alias: Percent LowWageWk of total #workers in a CBG (work location), 2017
)
D1A
(
type: esriFieldTypeDouble, alias: Gross residential density (HU/acre) on unprotected land
)
D1B
(
type: esriFieldTypeDouble, alias: Gross population density (people/acre) on unprotected land
)
D1C
(
type: esriFieldTypeDouble, alias: Gross employment density (jobs/acre) on unprotected land
)
D1C5_RET
(
type: esriFieldTypeDouble, alias: Gross retail (5-tier) employment density (jobs/acre) on unprotected land
)
D1C5_OFF
(
type: esriFieldTypeDouble, alias: Gross office (5-tier) employment density (jobs/acre) on unprotected land
)
D1C5_IND
(
type: esriFieldTypeDouble, alias: Gross industrial (5-tier) employment density (jobs/acre) on unprotected land
)
D1C5_SVC
(
type: esriFieldTypeDouble, alias: Gross service (5-tier) employment density (jobs/acre) on unprotected land
)
D1C5_ENT
(
type: esriFieldTypeDouble, alias: Gross entertainment (5-tier) employment density (jobs/acre) on unprotected land
)
D1C8_RET
(
type: esriFieldTypeDouble, alias: Gross retail (8-tier) employment density (jobs/acre) on unprotected land
)
D1C8_OFF
(
type: esriFieldTypeDouble, alias: Gross office (8-tier) employment density (jobs/acre) on unprotected land
)
D1C8_IND
(
type: esriFieldTypeDouble, alias: Gross industrial (8-tier) employment density (jobs/acre) on unprotected land
)
D1C8_SVC
(
type: esriFieldTypeDouble, alias: Gross service (8-tier) employment density (jobs/acre) on unprotected land
)
D1C8_ENT
(
type: esriFieldTypeDouble, alias: Gross entertainment (8-tier) employment density (jobs/acre) on unprotected land
)
D1C8_ED
(
type: esriFieldTypeDouble, alias: Gross education(8-tier) employment density (jobs/acre) on unprotected land
)
D1C8_HLTH
(
type: esriFieldTypeDouble, alias: Gross health care (8-tier) employment density (jobs/acre) on unprotected land
)
D1C8_PUB
(
type: esriFieldTypeDouble, alias: Gross retail (8-tier) employment density (jobs/acre) on unprotected land
)
D1D
(
type: esriFieldTypeDouble, alias: Gross activity density (employment + HUs) on unprotected land
)
D1_FLAG
(
type: esriFieldTypeDouble, alias: Flag indicating that density metrics are based on total CBG land acreage rather than unprotected acreage
)
D2A_JPHH
(
type: esriFieldTypeDouble, alias: Jobs per household
)
D2B_E5MIX
(
type: esriFieldTypeDouble, alias: 5-tier employment entropy (denominator set to observed employment types in the CBG)
)
D2B_E5MIXA
(
type: esriFieldTypeDouble, alias: 5-tier employment entropy (denominator set to the static 5 employment types in the CBG)
)
D2B_E8MIX
(
type: esriFieldTypeDouble, alias: 8-tier employment entropy (denominator set to observed employment types in the CBG)
)
D2B_E8MIXA
(
type: esriFieldTypeDouble, alias: 8-tier employment entropy (denominator set to the static 8 employment types in the CBG)
)
D2A_EPHHM
(
type: esriFieldTypeDouble, alias: Employment and household entropy
)
D2C_TRPMX1
(
type: esriFieldTypeDouble, alias: Employment and Household entropy (based on vehicle trip production and trip attractions including all 5 employment categories)
)
D2C_TRPMX2
(
type: esriFieldTypeDouble, alias: Employment and Household Entropy calculations, based on trips production and trip attractions including 4 of the 5 employment categories (excluding industrial)
)
D2C_TRIPEQ
(
type: esriFieldTypeDouble, alias: Trip productions and trip attractions equilibrium index; the closer to one, the more balanced the trip making
)
D2R_JOBPOP
(
type: esriFieldTypeDouble, alias: Regional Diversity. Standard calculation based on population and total employment: Deviation of CBG ratio of jobs/pop from the regional average ratio of jobs/pop
)
D2R_WRKEMP
(
type: esriFieldTypeDouble, alias: Household Workers per Job, as compared to the region: Deviation of CBG ratio of household workers/job from regional average ratio of household workers/job
)
D2A_WRKEMP
(
type: esriFieldTypeDouble, alias: Household Workers per Job, by CBG
)
D2C_WREMLX
(
type: esriFieldTypeDouble, alias: Household Workers per Job Equilibrium Index; the closer to one the more balanced the resident workers and jobs in the CBG.
)
D3A
(
type: esriFieldTypeDouble, alias: Total road network density
)
D3AAO
(
type: esriFieldTypeDouble, alias: Network density in terms of facility miles of auto-oriented links per square mile
)
D3AMM
(
type: esriFieldTypeDouble, alias: Network density in terms of facility miles of multi-modal links per square mile
)
D3APO
(
type: esriFieldTypeDouble, alias: Network density in terms of facility miles of pedestrian-oriented links per square mile
)
D3B
(
type: esriFieldTypeDouble, alias: Street intersection density (weighted, auto-oriented intersections eliminated)
)
D3BAO
(
type: esriFieldTypeDouble, alias: Intersection density in terms of auto-oriented intersections per square mile
)
D3BMM3
(
type: esriFieldTypeDouble, alias: Intersection density in terms of multi-modal intersections having three legs per square mile
)
D3BMM4
(
type: esriFieldTypeDouble, alias: Intersection density in terms of multi-modal intersections having four or more legs per square mile
)
D3BPO3
(
type: esriFieldTypeDouble, alias: Intersection density in terms of pedestrian-oriented intersections having three legs per square mile
)
D3BPO4
(
type: esriFieldTypeDouble, alias: Intersection density in terms of pedestrian-oriented intersections having four or more legs per square mile
)
D4A
(
type: esriFieldTypeDouble, alias: Distance from the population-weighted centroid to nearest transit stop (meters)
)
D4B025
(
type: esriFieldTypeDouble, alias: Proportion of CBG employment within ¼ mile of fixed-guideway transit stop
)
D4B050
(
type: esriFieldTypeDouble, alias: Proportion of CBG employment within ½ mile of fixed-guideway transit stop
)
D4C
(
type: esriFieldTypeDouble, alias: Aggregate frequency of transit service within 0.25 miles of CBG boundary per hour during evening peak period
)
D4D
(
type: esriFieldTypeDouble, alias: Aggregate frequency of transit service [D4c] per square mile
)
D4E
(
type: esriFieldTypeDouble, alias: Aggregate frequency of transit service [D4c] per capita
)
D5AR
(
type: esriFieldTypeDouble, alias: Jobs within 45 minutes auto travel time, time- decay (network travel time) weighted
)
D5AE
(
type: esriFieldTypeDouble, alias: Working age population within 45 minutes auto travel time, time-decay (network travel time) weighted
)
D5BR
(
type: esriFieldTypeDouble, alias: Jobs within 45-minute transit commute, distance decay (walk network travel time, GTFS schedules) weighted
)
D5BE
(
type: esriFieldTypeDouble, alias: Working age population within 45-minute transit commute, time decay (walk network travel time, GTFS schedules) weighted
)
D5CR
(
type: esriFieldTypeDouble, alias: Proportional Accessibility to Regional Destinations - Auto: Employment accessibility expressed as a ratio of total CBSA accessibility
)
D5CRI
(
type: esriFieldTypeDouble, alias: Regional Centrality Index – Auto: CBG [D5cr] score relative to max CBSA [D5cr] score
)
D5CE
(
type: esriFieldTypeDouble, alias: Proportional Accessibility to Regional Destinations - Auto: Working age population accessibility expressed as a ratio of total CBSA accessibility
)
D5CEI
(
type: esriFieldTypeDouble, alias: Regional Centrality Index – Auto: CBG [D5ce] score relative to max CBSA [D5ce] score
)
D5DR
(
type: esriFieldTypeDouble, alias: Proportional Accessibility of Regional Destinations - Transit: Employment accessibility expressed as a ratio of total MSA accessibility
)
D5DRI
(
type: esriFieldTypeDouble, alias: Regional Centrality Index – Transit: CBG [D5dr] score relative to max CBSA [D5dr] score
)
D5DE
(
type: esriFieldTypeDouble, alias: Proportional Accessibility of Regional Destinations - Transit: Working age population accessibility expressed as a ratio of total MSA accessibility
)
D5DEI
(
type: esriFieldTypeDouble, alias: Regional Centrality Index – Transit: CBG [D5de] score relative to max CBSA [D5de] score
)
D2A_Ranked
(
type: esriFieldTypeDouble, alias: Quantile ranked order (1-20) of [D2a_EpHHm] from lowest to highest
)
D2B_Ranked
(
type: esriFieldTypeDouble, alias: Quantile ranked order (1-20) of [D2b_E8MixA] from lowest to highest
)
D3B_Ranked
(
type: esriFieldTypeDouble, alias: Quantile ranked order (1-20) of [D3b] from lowest to highest
)
D4A_Ranked
(
type: esriFieldTypeDouble, alias: Quantile ranked order (1,13-20) of [D4a] from lowest to highest
)
NatWalkInd
(
type: esriFieldTypeDouble, alias: Walkability Index
)
Region
(
type: esriFieldTypeString, alias: Region used to normalize vehicle miles traveled, length: 1073741822
)
Households
(
type: esriFieldTypeInteger, alias: Number of households
)
Workers_1
(
type: esriFieldTypeInteger, alias: Number of workers
)
Residents
(
type: esriFieldTypeInteger, alias: Number of residents
)
Drivers
(
type: esriFieldTypeDouble, alias: Number of drivers
)
Vehicles
(
type: esriFieldTypeInteger, alias: Number of vehicles available
)
White
(
type: esriFieldTypeInteger, alias: Number of white residents
)
Male
(
type: esriFieldTypeInteger, alias: Number of male residents
)
Lowwage
(
type: esriFieldTypeInteger, alias: Number of of low wage residents
)
Medwage
(
type: esriFieldTypeInteger, alias: Number of medium wage residents
)
Highwage
(
type: esriFieldTypeInteger, alias: Number of high wage residents
)
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>"The California Healthy Places Index, developed by the Public Health Alliance of Southern California and visualized by Axis Maps, is a powerful tool to explore the community conditions that impact life expectancy. We created the HPI to disrupt structural inequities by using data to create change. The HPI helps prioritize public and private investments, resources, and programs in neighborhoods where they are needed most."</SPAN></P><P><SPAN /></P><P><SPAN>The data was collected from the Healthy Places Index website, https://www.healthyplacesindex.org/, by API Key download by census tract, and filtered to the Yolo County Boundary.</SPAN></P></DIV></DIV></DIV>
Copyright Text: California Healthy Places Index, Public Health Alliance of Southern California
https://www.thepublichealthalliance.org/
Contact Information:
William Edmonson, GISP, Assistant GIS Manager Fehr & Peers
w.edmonson@fehrandpeers.com - 916-262-7394
Marty Delgado, GIS Analyst
m.delgado@fehrandpeers.com - 916-262-7429