As of 1/19/2022, this dataset is no longer being updated. For more data on COVID-19 in Connecticut, visit data.ct.gov/coronavirus. This tables shows the percent of people who have received at least one dose of COVID-19 vaccine who live in a Priority SVI Zip Code. About a third of people in CT live in a Priority SVI zip code. SVI refers to the CDC's Social Vulnerability Index - a measure that combines 15 demographic variables to identify communities most vulnerable to negative health impacts from disasters and public health crises. Measures of social vulnerability include socioeconomic status, household composition, disability, race, ethnicity, language, and transportation limitations - among others. SVI scores were calculated for each zip code in CT. The zip codes in the top 20% were designated as Priority SVI zip codes. Percentages are based on 2018 zip code population data supplied by ESRI corporation. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. The data are presented cumulatively and by week of first dose of vaccine. Percentages are reported for all providers combined and for pharmacies, FQHCs (Federally Qualified Health Centers), local public health departments / districts and hospitals. The table excludes people with a missing or out-of-state zip code and doses administered by the Federal government (including Department of Defense, Department of Correction, Department of Veteran’s Affairs, Indian Health Service) or out-of-state providers.

ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created the Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event. The SVI is derived from American Community Survey (ACS), 5-year data. The CDC releases updated SVI data every two years. The Arizona Department of Health Services (ADHS) calculates yearly SVI updates in between CDC release years using an R script to reproduce CDC's SVI calculations and newly released ACS 5-year data.All methods and background information for SVI can be found at: https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2018.htmlAs the R script is merely a reproduction of the CDC's calculations, any questions about the CDC's SVI methodology should be directed to svi_coordinator@cdc.govIf you find any discrepancies between the CDC's 2018 SVI values and the 2018 values generated from this R Script, please email gis@azdhs.gov.Please note that the SVI data set generated from this R script does not include 2 variables that are present in the CDC's data set. Those are AREA_SQMI (Tract area in square miles) and E_DAYPOP (Adjunct variable - Estimated daytime population, LandScan 2018). These variables do not affect the SVI calculations but may be useful for mapping the data.LAST UPDATED: October 2021UPDATE FREQUENCY: None planned

Social Vulnerability Index (SVI) The Social Vulnerability Index is a place based index, database, and interactive mapping tool that quantifies how social factors influence a community s capacity to prepare for, respond to, and recover from public health emergencies, natural disasters, or environmental hazards. The index was created by the U.S. Centers for Disease Control and Prevention (CDC) in partnership with the Agency for Toxic Substances and Disease Registry (ATSDR), specifically its Geospatial Research, Analysis Services Program (GRASP). The dataset contains 15 U.S. Census derived variables grouped into four thematic domains socioeconomic status, household composition, minority status, and housing/transportation. For each census tract (as well as ZIP Code Tabulation Areas and counties), the SVI provides raw percentile ranks, a composite score (0 1), and flag values that identify the top 10 % of tracts as highly vulnerable. Updated every two years after the American Community Survey release, the index is downloadable as CSV files and displayed via a web based map. Primary uses include guiding emergency management planning, allocating resources for disaster mitigation, informing health equity research, and supporting environmental justice assessments. Unique features are its dual national and state specific ranking options, the ability to drill down to fine grained geographic units, and its integration of a transparent data dictionary that details variable sources and calculation methods.

The Chicago CCVI identifies communities that have been disproportionately affected by COVID-19 and are vulnerable to barriers to COVID-19 vaccine uptake​. Vulnerability is defined as a combination of sociodemographic factors, epidemiological factors​, occupational factors​, and cumulative COVID-19 burden.

The 10 components of the index include COVID-19 specific risk factors and outcomes and social factors known to be associated with social vulnerability in the context of emergency preparedness. The CCVI is derived from ranking values of the components by Chicago Community Area, then synthesizing them into a single composite weighted score. The higher the score, the more vulnerable the geographic area.

ZIP Code CCVI is included to enable comparison with other COVID-19 data available on the Chicago Data Portal. Some elements of the CCVI are not available by ZIP Code. To create ZIP Code CCVI, the proportion of the ZIP Code population contributed by each Community Areas was determined. The apportioned populations were then weighted by the Community Area CCVI score and averaged to determine a ZIP Code CCVI score.

The COVID-19 Community Vulnerability Index (CCVI) is adapted and modified from a Surgo Ventures collaboration (https://precisionforcovid.org/ccvi) and the CDC Social Vulnerability Index​. ZIP Codes are based on ZIP Code Tabulation Areas (ZCTAs) developed by the U.S. Census Bureau. For full documentation see: https://www.chicago.gov/content/dam/city/sites/covid/reports/012521/Community_Vulnerability_Index_012521.pdf

Zip 78744 SVI Web Map displays the 2022 Social Vulnerability Index (SVI) from the Centers for Disease Control and Prevention (CDC). The SVI measures a community’s ability to prepare for, respond to, and recover from public health emergencies and disasters. This map highlights the SVI for Travis County, with a specific focus on the 78744 zip code, helping to identify areas where populations may face greater challenges due to socioeconomic and environmental factors.The Centers for Disease Control and Prevention (CDC), in partnership with the Agency for Toxic Substances and Disease Registry (ATSDR), developed the Social Vulnerability Index (SVI) to help public health officials and emergency responders identify communities that may require additional support before, during, and after hazardous events.The SVI measures social vulnerability based on key factors that influence a community’s ability to withstand and recover from disasters, including:Socioeconomic status – High poverty rates, low income, or unemploymentHousehold composition and disability – Households with elderly residents, children, or individuals with disabilitiesMinority status and language barriers – Communities with limited English proficiency or historically marginalized populationsHousing and transportation challenges – Limited vehicle access, crowded housing, or reliance on public transitThese factors impact a community’s ability to mitigate human suffering and financial losses during emergencies. By analyzing social vulnerability, public health officials can prioritize resources, enhance emergency preparedness, and develop targeted outreach strategies.This web map provides a visual representation of social vulnerability across Travis County, with a focus on the 78744 zip code. Percentile rankings range from 0 to 1, with higher values indicating greater vulnerability.Although the SVI was not directly used in the deployment of Community Health Worker (CHW) Strike Teams for West Nile Virus education in 2024, incorporating this data into future strategies has been identified as a best practice. Integrating SVI data into public health initiatives will help ensure more effective outreach and resource allocation, particularly for populations at increased risk.Public Information RequestsIf you cannot locate the information or records you need online, Section 552.234 of the Texas Public Information Act allows you to submit a written request using the following methods:Online submission: City of Austin Public Records RequestMail: P.O. Box 689001, Austin, Texas, 78768

NOTE: As of 2/16/2023, this page is not being updated. This tables shows the number and percent of people that have initiated COVID-19 vaccination, are fully vaccinated and had additional dose 1 grouped by whether they live in an SVI Priority Zip Code. People with an out-of-state zip code are excluded from this analysis. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. A person who has received at least one dose of any COVID-19 vaccine is considered to have initiated vaccination. A person is considered fully vaccinated if they have completed a primary vaccine series by receiving 2 doses of the Pfizer, Novavax or Moderna vaccines or 1 dose of the Johnson & Johnson vaccine. The fully vaccinated are a subset of the number who have received at least one dose. A person who completed a Pfizer, Moderna, Novavax or Johnson & Johnson primary series (as defined above) and then had an additional dose of COVID-19 vaccine is considered to have had additional dose 1. The additional monovalent dose may be Pfizer, Moderna, Novavax or Johnson & Johnson and may be a different type from the primary series. For people who had a primary Pfizer or Moderna series, additional dose 1 was counted starting August 18th, 2021. For people with a Johnson & Johnson primary series additional dose 1 was counted starting October 22nd, 2021. For most people, additional dose 1 is a booster. However, additional dose 1 may represent a supplement to the primary series for a people who is moderately or severely immunosuppressed. Bivalent booster administrations are not included in the additional dose 1 calculations. SVI refers to the CDC's Social Vulnerability Index - a measure that combines 15 demographic variables to identify communities most vulnerable to negative health impacts from disasters and public health crises. Measures of social vulnerability include socioeconomic status, household composition, disability, race, ethnicity, language, and transportation limitations - among others. SVI scores were calculated for each zip code in CT. The zip codes in the top 20% were designated as SVI Priority Zip Codes. Percentages are based on 2018 zip code population data supplied by ESRI corporation. The percent with at least one dose many be over-estimated and the percent fully vaccinated and with additional dose 1 may be under-estimated because of vaccine administration records for individuals that cannot be linked because of differences in how names or date of birth are reported. Connecticut COVID-19 Vaccine Program providers are required to report information on all COVID-19 vaccine doses administered to CT WiZ, the Connecticut Immunization Information System. Data on doses administered to CT residents out-of-state are being added to CT WiZ jurisdiction-by-jurisdiction. Doses administered by some Federal entities (including Department of Defense, Department of Correction, Department of Veteran’s Affairs, Indian Health Service) are not yet reported to CT WiZ.  Data reported here reflect the vaccination records currently reported to CT WiZ. Note: As part of continuous data quality improvement efforts, duplicate records were removed from the COVID-19 vaccination data during the weeks of 4/19/2021 and 4/26/2021.

The COVID-19 Vulnerability and Recovery Index uses Tract and ZIP Code-level data* to identify California communities most in need of immediate and long-term pandemic and economic relief. Specifically, the Index is comprised of three components — Risk, Severity, and Recovery Need with the last scoring the ability to recover from the health, economic, and social costs of the pandemic. Communities with higher Index scores face a higher risk of COVID-19 infection and death and a longer uphill economic recovery. Conversely, those with lower scores are less vulnerable.

The Index includes one overarching Index score as well as a score for each of the individual components. Each component includes a set of indicators we found to be associated with COVID-19 risk, severity, or recovery in our review of existing indices and independent analysis. The Risk component includes indicators related to the risk of COVID-19 infection. The Severity component includes indicators designed to measure the risk of severe illness or death from COVID-19. The Recovery Need component includes indicators that measure community needs related to economic and social recovery. The overarching Index score is designed to show level of need from Highest to Lowest with ZIP Codes in the Highest or High need categories, or top 20th or 40th percentiles of the Index, having the greatest need for support.

The Index was originally developed as a statewide tool but has been adapted to LA County for the purposes of the Board motion. To distinguish between the LA County Index and the original Statewide Index, we refer to the revised Index for LA County as the LA County ARPA Index.

*Zip Code data has been crosswalked to Census Tract using HUD methodology

Indicators within each component of the LA County ARPA Index are:Risk: Individuals without U.S. citizenship; Population Below 200% of the Federal Poverty Level (FPL); Overcrowded Housing Units; Essential Workers Severity: Asthma Hospitalizations (per 10,000); Population Below 200% FPL; Seniors 75 and over in Poverty; Uninsured Population; Heart Disease Hospitalizations (per 10,000); Diabetes Hospitalizations (per 10,000)Recovery Need: Single-Parent Households; Gun Injuries (per 10,000); Population Below 200% FPL; Essential Workers; Unemployment; Uninsured PopulationData are sourced from US Census American Communities Survey (ACS) and the OSHPD Patient Discharge Database. For ACS indicators, the tables and variables used are as follows:

Indicator

ACS Table/Years

Numerator

Denominator

Non-US Citizen

B05001, 2019-2023

b05001_006e

b05001_001e

Below 200% FPL

S1701, 2019-2023

s1701_c01_042e

s1701_c01_001e

Overcrowded Housing Units

B25014, 2019-2023

b25014_006e + b25014_007e + b25014_012e + b25014_013e

b25014_001e

Essential Workers

S2401, 2019-2023

s2401_c01_005e + s2401_c01_011e + s2401_c01_013e + s2401_c01_015e + s2401_c01_019e + s2401_c01_020e + s2401_c01_023e + s2401_c01_024e + s2401_c01_029e + s2401_c01_033e

s2401_c01_001

Seniors 75+ in Poverty

B17020, 2019-2023

b17020_008e + b17020_009e

b17020_008e + b17020_009e + b17020_016e + b17020_017e

Uninsured

S2701, 2019-2023

s2701_c05_001e

NA, rate published in source table

Single-Parent Households

S1101, 2019-2023

s1101_c03_005e + s1101_c04_005e

s1101_c01_001e

Unemployment

S2301, 2019-2023

s2301_c04_001e

NA, rate published in source table

The remaining indicators are based data requested and received by Advancement Project CA from the OSHPD Patient Discharge database. Data are based on records aggregated at the ZIP Code level:

Indicator

Years

Definition

Denominator

Asthma Hospitalizations

2017-2019

All ICD 10 codes under J45 (under Principal Diagnosis)

American Community Survey, 2015-2019, 5-Year Estimates, Table DP05

Gun Injuries

2017-2019

Principal/Other External Cause Code "Gun Injury" with a Disposition not "Died/Expired". ICD 10 Code Y38.4 and all codes under X94, W32, W33, W34, X72, X73, X74, X93, X95, Y22, Y23, Y35 [All listed codes with 7th digit "A" for initial encounter]

American Community Survey, 2015-2019, 5-Year Estimates, Table DP05

Heart Disease Hospitalizations

2017-2019

ICD 10 Code I46.2 and all ICD 10 codes under I21, I22, I24, I25, I42, I50 (under Principal Diagnosis)

American Community Survey, 2015-2019, 5-Year Estimates, Table DP05

Diabetes (Type 2) Hospitalizations

2017-2019

All ICD 10 codes under E11 (under Principal Diagnosis)

American Community Survey, 2015-2019, 5-Year Estimates, Table DP05

For more information about this dataset, please contact egis@isd.lacounty.gov.

Display risk score for Dallas ZCTA, per CDC guidelines, regarding COVID-19 impactThe Office of Resilience then calculated a vulnerability score based on the following: MethodologyData was analyzed for each area in the city limits, assessed against the key questions below, and assigned a risk score (5:Highest Risk à 0: No Risk).Do Black, Hispanic and Native American populations together make up more than 70% of the community?Does the area have 15% or more of its families at or below 100% of the federal poverty level?Do less than 50% of the area’s households own the home they live in?Is the area rated “High” on the CDC’s Social Vulnerability Index, Socioeconomic Level?Are more than 12% of the area’s residents 65 or older?COVID Cases Data is pulled from below link. Data is as of 2-Feb-2021 https://covid-analytics-pccinnovation.hub.arcgis.com/

Data SourcesAmerican Community Survey (ACS):Conducted by: U.S. Census BureauDescription: The ACS is an ongoing survey that provides detailed demographic and socio-economic data on the population and housing characteristics of the United States.Content: The survey collects information on various topics such as income, education, employment, health insurance coverage, and housing costs and conditions.Frequency: The ACS offers more frequent and up-to-date information compared to the decennial census, with annual estimates produced based on a rolling sample of households.Purpose: ACS data is essential for policymakers, researchers, and communities to make informed decisions and address the evolving needs of the population.CDC/ATSDR Social Vulnerability Index (SVI):Created by: ATSDR’s Geospatial Research, Analysis & Services Program (GRASP)Utilized by: CDCDescription: The SVI is designed to identify and map communities that are most likely to need support before, during, and after hazardous events.Content: SVI ranks U.S. Census tracts based on 15 social factors, including unemployment, minority status, and disability, and groups them into four related themes. Each tract receives rankings for each Census variable and for each theme, as well as an overall ranking, indicating its relative vulnerability.Purpose: SVI data provides insights into the social vulnerability of communities at both the tract and zip code levels, helping public health officials and emergency response planners allocate resources effectively.Utilization and IntegrationBy integrating data from both the ACS and the SVI, this dataset enables an in-depth analysis and understanding of various socio-economic and demographic indicators at the census tract level. This integrated data is valuable for research, policymaking, and community planning purposes, allowing for a comprehensive understanding of social and economic dynamics across different geographical areas in the United States.ApplicationsTargeted Interventions: Facilitates the development of targeted interventions to address the needs of vulnerable populations within specific zip codes.Resource Allocation: Assists emergency response planners in allocating resources more effectively based on community vulnerability at the zip code level.Research: Provides a rich dataset for academic and applied research in socio-economic and demographic studies at a granular zip code level.Community Planning: Supports the planning and development of community programs and initiatives aimed at improving living conditions and reducing vulnerabilities within specific zip code areas.Note: Due to limitations in the data environment, variable names may be truncated. Refer to the provided table for a clear understanding of the variables. CSV Variable NameShapefile Variable NameDescriptionStateNameStateNameName of the stateStateFipsStateFipsState-level FIPS codeState nameStateNameName of the stateCountyNameCountyNameName of the countyCensusFipsCensusFipsCounty-level FIPS codeState abbreviationStateFipsState abbreviationCountyFipsCountyFipsCounty-level FIPS codeCensusFipsCensusFipsCounty-level FIPS codeCounty nameCountyNameName of the countyAREA_SQMIAREA_SQMITract area in square milesE_TOTPOPE_TOTPOPPopulation estimates, 2013-2017 ACSEP_POVEP_POVPercentage of persons below poverty estimateEP_UNEMPEP_UNEMPUnemployment Rate estimateEP_HBURDEP_HBURDHousing cost burdened occupied housing units with annual income less than $75,000EP_UNINSUREP_UNINSURUninsured in the total civilian noninstitutionalized population estimate, 2013-2017 ACSEP_PCIEP_PCIPer capita income estimate, 2013-2017 ACSEP_DISABLEP_DISABLPercentage of civilian noninstitutionalized population with a disability estimate, 2013-2017 ACSEP_SNGPNTEP_SNGPNTPercentage of single parent households with children under 18 estimate, 2013-2017 ACSEP_MINRTYEP_MINRTYPercentage minority (all persons except white, non-Hispanic) estimate, 2013-2017 ACSEP_LIMENGEP_LIMENGPercentage of persons (age 5+) who speak English "less than well" estimate, 2013-2017 ACSEP_MUNITEP_MUNITPercentage of housing in structures with 10 or more units estimateEP_MOBILEEP_MOBILEPercentage of mobile homes estimateEP_CROWDEP_CROWDPercentage of occupied housing units with more people than rooms estimateEP_NOVEHEP_NOVEHPercentage of households with no vehicle available estimateEP_GROUPQEP_GROUPQPercentage of persons in group quarters estimate, 2014-2018 ACSBelow_5_yrBelow_5_yrUnder 5 years: Percentage of Total populationBelow_18_yrBelow_18_yrUnder 18 years: Percentage of Total population18-39_yr18_39_yr18-39 years: Percentage of Total population40-64_yr40_64_yr40-64 years: Percentage of Total populationAbove_65_yrAbove_65_yrAbove 65 years: Percentage of Total populationPop_malePop_malePercentage of total population malePop_femalePop_femalePercentage of total population femaleWhitewhitePercentage population of white aloneBlackblackPercentage population of black or African American aloneAmerican_indianamerican_iPercentage population of American Indian and Alaska native aloneAsianasianPercentage population of Asian aloneHawaiian_pacific_islanderhawaiian_pPercentage population of Native Hawaiian and Other Pacific Islander aloneSome_othersome_otherPercentage population of some other race aloneMedian_tot_householdsmedian_totMedian household income in the past 12 months (in 2019 inflation-adjusted dollars) by household size – total householdsLess_than_high_schoolLess_than_Percentage of Educational attainment for the population less than 9th grades and 9th to 12th grade, no diploma estimateHigh_schoolHigh_schooPercentage of Educational attainment for the population of High school graduate (includes equivalency)Some_collegeSome_collePercentage of Educational attainment for the population of Some college, no degreeAssociates_degreeAssociatesPercentage of Educational attainment for the population of associate degreeBachelor’s_degreeBachelor_sPercentage of Educational attainment for the population of Bachelor’s degreeMaster’s_degreeMaster_s_dPercentage of Educational attainment for the population of Graduate or professional degreecomp_devicescomp_devicPercentage of Household having one or more types of computing devicesInternetInternetPercentage of Household with an Internet subscriptionBroadbandBroadbandPercentage of Household having Broadband of any typeSatelite_internetSatelite_iPercentage of Household having Satellite Internet serviceNo_internetNo_internePercentage of Household having No Internet accessNo_computerNo_computePercentage of Household having No computerThis table provides a mapping between the CSV variable names and the shapefile variable names, along with a brief description of each variable.

78744 Zip Code Feature Layer This feature layer represents the 78744 zip code boundary within Travis County and is used in this StoryMap to provide geographic context for Austin Public Health (APH) Community Health Worker (CHW) outreach efforts. On June 8, 2024, APH CHW Strike Teams conducted a targeted West Nile Virus (WNV) education campaign in the 78744 zip code, an area with high social vulnerability and environmental factors that may contribute to increased mosquito activity and disease transmission. This outreach aimed to:

Assess community awareness of WNV transmission and prevention strategies Distribute educational materials on mosquito control and personal protection Engage with residents to encourage proactive public health behaviors

Why the 78744 Zip Code? The 78744 zip code was identified as a priority area for WNV education due to:

Social Vulnerability Index (SVI) Considerations – Populations with higher vulnerability may have limited access to health resources or face greater risks from vector-borne diseases. Environmental Risk Factors – Standing water, dense vegetation, and urban drainage patterns that may support higher mosquito populations. Historical Public Health Needs – Previous outreach efforts have highlighted the importance of continued engagement in this area.

Feature Layer Use This feature layer helps visualize the geographic scope of the CHW outreach efforts and supports public health decision-making by aligning intervention strategies with spatial data and community needs. Future applications of this layer may include:

Mapping mosquito surveillance data and environmental risk factors Overlaying additional public health data for targeted outreach Informing response strategies for future vector-borne disease outbreaks

By incorporating geographic data into public health initiatives, Austin Public Health can ensure a more data-driven, equitable, and effective approach to disease prevention and community engagement.

Public Information Requests If you cannot locate the information or records you need online, Section 552.234 of the Texas Public Information Act allows you to submit a written request using the following methods:

Online submission: City of Austin Public Records Request | Mail: P.O. Box 689001, Austin, Texas, 78768

National Risk Index Data Version: December 2025 (1.20.0)The National Risk Index Counties feature layer contains county-level data for the Risk Index, Expected Annual Loss, Social Vulnerability, and Community Resilience.The National Risk Index data helps to illustrate the communities most at risk for 18 natural hazards across the United States and territories: avalanche, coastal flooding, cold wave, drought, earthquake, hail, heat wave, hurricane, ice storm, inland flooding, landslide, lightning, strong wind, tornado, tsunami, volcanic activity, wildfire, and winter weather. The National Risk Index data provides Risk Index values, scores and ratings based on data for Expected Annual Loss due to natural hazards, Social Vulnerability, and Community Resilience. Separate values, scores and ratings are also provided for Expected Annual Loss, Social Vulnerability, and Community Resilience. For the Risk Index and Expected Annual Loss, values, scores and ratings can be viewed as a composite score for all hazards or individually for each of the 18 hazard types.Sources for Expected Annual Loss data include:Arizona State University’s Center for Emergency Management and Homeland SecurityCalifornia Department of Conservation – Geological SurveyColorado Avalanche Information CenterSnow Data Assimilation SystemNational Water and Climate CenterSnow Survey and Water Supply Forecasting ProgramSnow Telemetry NetworkNorthern Hemisphere 0.25 Degree Resolution Machine Learning Snow Depth DataCoreLogic’s Flood ServicesFederal Emergency Management AgencyNational Flood Insurance ProgramFEMA Natural Hazards Risk Assessment ProgramHumanitarian Data ExchangeIowa State University's Iowa Environmental MesonetMulti-Resolution Land Characteristics ConsortiumNational Earthquake Hazards Reduction ProgramNational Oceanic and Atmospheric Administration’s National Centers for Environmental InformationNational Oceanic and Atmospheric Administration's National Hurricane CenterNational Oceanic and Atmospheric Administration's National Weather ServiceNational Oceanic and Atmospheric Administration's Office for Coastal ManagementNational Oceanic and Atmospheric Administration's National Geophysical Data CenterNational Oceanic and Atmospheric Administration's Storm Prediction CenterU.S. Army Corps of Engineers’ Cold Regions Research and Engineering LaboratoryU.S. Census BureauU.S. Department of Agriculture's National Agricultural Statistics ServiceU.S. Forest Service's Fire Modeling Institute's Missoula Fire Sciences LabU.S. Geological SurveyU.S. Geological Survey's Landslide Hazards ProgramU.S. Geological Survey Western Geographic Science Center Hazard Vulnerability TeamUnited Nations Office for Disaster Risk ReductionUniversity of Alaska – Fairbanks' Alaska Earthquake CenterUniversity of Nebraska – Lincoln's National Drought Mitigation Center Data for Social Vulnerability are provided by the U.S. Census Community Resilience Estimate, and data for Community Resilience are obtained from the University of South Carolina's Hazards and Vulnerability Research Institute’s 2020 Baseline Resilience Indicators for Communities. These obtained data were used to create a FEMA modified version of the Baseline Resilience Indicators for Communities for use in the National Risk Index dataset.The source of the boundaries for counties and Census tracts are based on the U.S. Census Bureau’s 2021 TIGER/Line shapefiles, except for Connecticut which uses the 2024 TIGER/Line shapefiles. Building value and population exposures for communities are based on FEMA’s Hazus 6.0 and inflation adjusted to December 2024 dollars. Agriculture values are based on the U.S. Department of Agriculture 2017 Census of Agriculture and inflation adjusted to December 2024 dollars.National Risk Index Dataset - MetadataNational Risk Index Dataset - Data DictionaryNational Risk Index Dataset - Data GlossaryNational Risk Index Dataset - Technical DocumentationNational Risk Index Dataset - Tribal Counties

PurposeHospital readmissions are a pervasive problem for patients with heart failure. While Social Determinants of Health (SDoH) influence many aspects of care, the relationship between readmissions for acute heart failure (AHF) and social vulnerability is incompletely characterized. Such data are needed to develop interventions to maximize successful stabilization in the post-discharge phase.MethodsRetrospective review of administrative clinical data paired with ZIP code-level SDoH data from an integrated health system in Detroit, MI. We explored the relationship between Social Deprivation Index (SDI; greater scores indicate more deprivation) and hospital admissions for AHF within 180-days of a prior AHF admission using zero-hurdle regression (logistic model for >0 readmissions; negative binomial model for count of readmissions). Mixed-effects logistic regression, accounting for repeat visits, was used to determine if SDI was associated with AHF-admission for any given ED visit.ResultsFrom January 2022 through December 2023, with data from 2,333 unique patients (accounting for 3,281 total visits), we found that each SD increase in SDI (30.6) was associated with increased likelihood of at least one 180day-readmission (OR 1.52 [CI 1.10–2.11]). In the count model, each SD (28.3) increase in SDI was positively associated with 180day-readmissions (relative risk (RR) 1.57 [CI 1.10–1.23]). In the mixed model, after adjusting for characteristics of prior visits, SDI was not associated with AHF admission (including at Index visits).ConclusionThese results indicate that area-level social vulnerability may play a role in recovery and stabilization after a decompensation event; it may also extend the post-discharge vulnerable phase. That SDI was not associated with Index AHF admission suggests that social factors may play a different role in development of acute decompensation, as opposed to recovery from it. Development of targeted admission-reduction interventions should consider the varied influences of social vulnerability in the AHF lifecycle.

The Heat Vulnerability Index (HVI) shows neighborhoods whose residents are more at risk for dying during and immediately following extreme heat. It uses a statistical model to summarize the most important social and environmental factors that contribute to neighborhood heat risk. The factors included in the HVI are surface temperature, green space, access to home air conditioning, and the percentage of residents who are low-income or non-Latinx Black. Differences in these risk factors across neighborhoods are rooted in past and present racism. Neighborhoods are scored from 1 (lowest risk) to 5 (highest risk) by summing the following factors and assigning them into 5 groups (quintiles):

Median Household Income (American Community Survey 5 year estimate, 2016-2020) Percent vegetative cover (trees, shrubs or grass) (2017 LiDAR, NYC DOITT) Percent of population reported as Non-Hispanic Black on Census 2020 Average surface temperature Fahrenheit from ECOSSTRESS thermal imaging, August 27,2020 Percent of households reporting Air Conditioning access, Housing ad Vacancy Survey, 2017

Unpublished data product not for circulation Persistent Poverty tracts*Persistent poverty area and enduring poverty area measures with reference year 2015-2019 are research measures only. The ERS offical measures are updated every ten years. The next updates will use 1960 through 2000 Decennial Census data and 2007-2011 and 2017-2021 5-year ACS estimates. The updates will take place following the Census Bureau release of the 2017-2021 estimates (anticipated December 2022).A reliability index is calculated for each poverty rate (PctPoor) derived using poverty count estimates and published margins of error from the 5-yr ACS. If the poverty rate estimate has low reliability (=3) AND the upper (PctPoor + derived MOE) or lower (PctPoor - derived MOE) bounds of the MOE adjusted poverty rate would change the poverty status of the estimate (high = 20.0% or more; extreme = 40.0% or more) then the county/tract type is coded as "N/A". If looking at metrics named "PerPov0711" and PerPov1519" ERS says: The official measure ending in 2007-11 included data from 1980. The research measure ending in 2015-19 drops 1980 and begins instead with 1990. There were huge differences in geographic coverage of census tracts and data quality between 1980 and 1990, namely "because tract geography wasn’t assigned to all areas of the country until the 1990 Decennial Census. Last date edited 9/1/2022Variable NamesVariable Labels and ValuesNotesGeographic VariablesGEO_ID_CTCensus download GEOID when downloading county and tract data togetherSTUSABState Postal AbbreviationfipsCounty FIPS code, in numericCountyNameArea Name (county, state)TractNameArea Name (tract, county, state)TractCensus Tract numberRegionCensus region numeric code 1 = Northeast 2 = Midwest 3 = South 4 = Westsubreg3ERS subregions 1 = Northeast and Great Lakes 2 = Eastern Metropolitan Belt 3 = Eastern and Interior Uplands 4 = Corn Belt 5 = Southeastern Coast 6 = Southern Coastal Plain 7 = Great Plains 8 = Rio Grande and Southwest 9 = West, Alaska and HawaiiMetNonmet2013Metro and nonmetro county code 0 = nonmetro county 1 = metro countyBeale2013ERS Rural-urban Continuum Code 2013 (counties) 1 = counties in metro area of 1 million population or more 2 = counties in metro area of 250,000 to 1 million population 3 = counties in metro area of fewer than 250,000 population 4 = urban population of 20,000 or more, adjacent to a metro area 5 = urban population of 20,000 or more, not adjacent to a metro area 6 = urban population of 2,500 to 19,999, adjacent to a metro area 7 = urban population of 2,500 to 19,999, not adjacent to a metro area 8 = completely rural or less than 2,500, adjacent to a metro area 9 = completely rural or less than 2,500, not adjacent to a metro areaRUCA_2010Rural Urban Commuting Areas, primary code (census tracts) 1 = Metropolitan area core: primary flow within an urbanized area (UA) 2 = Metropolitan area high commuting: primary flow 30% or more to a UA 3 = Metropolitan area low commuting: primary flow 10% to 30% to a UA 4 = Micropolitan area core: primary flow within an Urban Cluster of 10,000 to 49,999 (large UC) 5 = Micropolitan high commuting: primary flow 30% or more to a large UC 6 = Micropolitan low commuting: primary flow 10% to 30% to a large UC 7 = Small town core: primary flow within an Urban Cluster of 2,500 to 9,999 (small UC) 8 = Small town high commuting: primary flow 30% or more to a small UC 9 = Small town low commuting: primary flow 10% to 30% to a small UC 10 = Rural areas: primary flow to a tract outside a UA or UC 99 = Not coded: Census tract has zero population and no rural-urban identifier informationBNA01Census tract represents block numbering areas; BNAs are small statistical subdivisions of a county for numbering and grouping blocks in nonmetropolitan counties where local committees have not established tracts. 0 = not a BNA tract 1 = BNA tractPoverty Areas MeasuresHiPov60Poverty Rate greater than or equal to 20.0% 1960 (counties only) -1 = N/A 0 = PctPoor60 < 20.0% 1 = PctPoor60 >= 20.0%HiPov70Poverty Rate greater than or equal to 20.0% 1970 -1 = N/A 0 = PctPoor70 < 20.0% 1 = PctPoor70 >= 20.0%HiPov80Poverty Rate greater than or equal to 20.0% 1980 -1 = N/A 0 = PctPoor80 < 20.0% 1 = PctPoor80 >= 20.0%HiPov90Poverty Rate greater than or equal to 20.0% 1990 -1 = N/A 0 = PctPoor90 < 20.0% 1 = PctPoor90 >= 20.0%HiPov00Poverty Rate greater than or equal to 20.0% 2000 -1 = N/A 0 = PctPoor00 < 20.0% 1 = PctPoor00 >= 20.0%HiPov0711Poverty Rate greater than or equal to 20.0% 2007-11 ACS -1 = N/A 0 = PctPoor0711 < 20.0% 1 = PctPoor0711 >= 20.0%HiPov1519Poverty Rate greater than or equal to 20.0% 2015-19 ACS -1 = N/A 0 = PctPoor1519 < 20.0% 1 = PctPoor1519 >= 20.0%ExtPov60Poverty Rate greater than or equal to 40.0% 1960 (counties only) -1 = N/A 0 = PctPoor60 < 40.0% 1 = PctPoor60 >= 40.0%ExtPov70Poverty Rate greater than or equal to 40.0% 1970 -1 = N/A 0 = PctPoor70 < 40.0% 1 = PctPoor70 >= 40.0%ExtPov80Poverty Rate greater than or equal to 40.0% 1980 -1 = N/A 0 = PctPoor80 < 40.0% 1 = PctPoor80 >= 40.0%ExtPov90Poverty Rate greater than or equal to 40.0% 1990 -1 = N/A 0 = PctPoor90 < 40.0% 1 = PctPoor90 >= 40.0%ExtPov00Poverty Rate greater than or equal to 40.0% 2000 -1 = N/A 0 = PctPoor00 < 40.0% 1 = PctPoor00 >= 40.0%ExtPov0711Poverty Rate greater than or equal to 40.0% 2007-11 ACS -1 = N/A 0 = PctPoor0711 < 40.0% 1 = PctPoor0711 >= 40.0%ExtPov1519Poverty Rate greater than or equal to 40.0% 2015-19 ACS -1 = N/A 0 = PctPoor1519 < 40.0% 1 = PctPoor1519 >= 40.0%PerPov90Official ERS Measure: Persistent Poverty 1990: poverty rate >= 20.0% in 1960, 1970, 1980, and 1990 (counties only) May not match previously published versions due to changes in geographic normalization procedures. -1 = N/A 0 = poverty rate not >= 20.0% in 1960, 1970, 1980, and 1990 1 = poverty rate >= 20.0% in 1960, 1970, 1980, and 1990PerPov00Official ERS Measure: Persistent Poverty 2000: poverty rate >= 20.0% in 1970, 1980, 1990, and 2000May not match previously published versions due to changes in geographic normalization procedures. -1 = N/A 0 = poverty rate not >= 20.0% in 1970, 1980, 1990, and 2000 1 = poverty rate >= 20.0% in 1970, 1980, 1990, and 2000PerPov0711Official ERS Measure: Persistent Poverty 2007-11: poverty rate >= 20.0% in 1980, 1990, 2000, and 2007-11May not match previously published versions due to changes in geographic normalization procedures and -1 = N/A application of reliability criteria. 0 = poverty rate not >= 20.0% in 1980, 1990, 2000, and 2007-11 1 = poverty rate >= 20.0% in 1980, 1990, 2000, and 2007-11PerPov1519Research Measure Only: Persistent Poverty 2015-19: poverty rate >= 20.0% in 1990, 2000, 2007-11, and 2015May not match previously published versions due to changes in geographic normalization procedures and -1 = N/A application of reliability criteria. 0 = poverty rate not >= 20.0% in 1990, 2000, 2007-11, and 2015-19 1 = poverty rate >= 20.0% in 1990, 2000, 2007-11, and 2015-19EndurePov0711Official ERS Measure: Enduring Poverty 2007-11: poverty rate >= 20.0% for at least 5 consecutive time periods up-to and including 2007-11 -1 = N/A 0 = Poverty Rate not >=20.0% in 1970, 1980, 1990, 2000, and 2007-11 1 = poverty rate >= 20.0% in 1970, 1980, 1990, 2000, and 2007-11 2 = poverty rate >=20.0% in 1960, 1970, 1980, 1990, 2000, and 2007-11 (counties only)EndurePov1519Research Measure Only: Enduring Poverty 2015-19: poverty rate >= 20.0% for at least 5 consecutive time periods, up-to and including 2015-19 -1 = N/A 0 = Poverty Rate not >=20.0% in 1980, 1990, 2000, 2007-11, and 2015-19 1 = poverty rate >= 20.0% in 1980, 1990, 2000, 2007-11, and 2015-19 2 = poverty rate >= 20.0% in 1970, 1980, 1990, 2000, 2007-11, and 2015-19 3 = poverty rate >=20.0% in 1960, 1970, 1980, 1990, 2000, 2007-11, and 2015-19 (counties only)Additional Notes: *In the combined data tab each variable ends with a 'C' for county and a 'T' for tractThe spreadsheet was joined to Esri's Living Atlas Social Vulnerability Tract Data (CDC) and therefore contains the following information as well: ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) has created a tool to help emergency response planners and public health officials identify and map the communities that will most likely need support before, during, and after a hazardous event. The Social Vulnerability Index (SVI) uses U.S. Census data to determine the social vulnerability of every county and tract. CDC SVI ranks each county and tract on 15 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes:SocioeconomicHousing Composition and DisabilityMinority Status and LanguageHousing and TransportationThis feature layer visualizes the 2018 overall SVI for U.S. counties and tracts. Social Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. county and tract.15 social factors grouped into four major themes | Index value calculated for each county for the 15 social factors, four major themes, and the overall rank

MethodologyData was analyzed for each area in the city limits, assessed against the key questions below, and assigned a risk score (5:Highest Risk à 0: No Risk).Do Black, Hispanic and Native American populations together make up more than 70% of the community?Does the area have 15% or more of its families at or below 100% of the federal poverty level?Do less than 50% of the area’s households own the home they live in?Is the area rated “High” on the CDC’s Social Vulnerability Index, Socioeconomic Level?Are more than 42% of the area’s residents 18-44 Yrs Old?This map also feeds this dashboard's First tab: https://dallasgis.maps.arcgis.com/home/item.html?id=8fadfdfd5f884a75b7a1999fffb9fe77

78744 Zip Code Feature Layer This feature layer represents the 78744 zip code boundary within Travis County and is used in this StoryMap to provide geographic context for Austin Public Health (APH) Community Health Worker (CHW) outreach efforts. On June 8, 2024, APH CHW Strike Teams conducted a targeted West Nile Virus (WNV) education campaign in the 78744 zip code, an area with high social vulnerability and environmental factors that may contribute to increased mosquito activity and disease transmission. This outreach aimed to:

Assess community awareness of WNV transmission and prevention strategies Distribute educational materials on mosquito control and personal protection Engage with residents to encourage proactive public health behaviors

Why the 78744 Zip Code? The 78744 zip code was identified as a priority area for WNV education due to:

Social Vulnerability Index (SVI) Considerations – Populations with higher vulnerability may have limited access to health resources or face greater risks from vector-borne diseases. Environmental Risk Factors – Standing water, dense vegetation, and urban drainage patterns that may support higher mosquito populations. Historical Public Health Needs – Previous outreach efforts have highlighted the importance of continued engagement in this area.

Feature Layer Use This feature layer helps visualize the geographic scope of the CHW outreach efforts and supports public health decision-making by aligning intervention strategies with spatial data and community needs. Future applications of this layer may include:

Mapping mosquito surveillance data and environmental risk factors Overlaying additional public health data for targeted outreach Informing response strategies for future vector-borne disease outbreaks

By incorporating geographic data into public health initiatives, Austin Public Health can ensure a more data-driven, equitable, and effective approach to disease prevention and community engagement.

Public Information Requests If you cannot locate the information or records you need online, Section 552.234 of the Texas Public Information Act allows you to submit a written request using the following methods:

Online submission: City of Austin Public Records Request | Mail: P.O. Box 689001, Austin, Texas, 78768

Contains the following information:COVID cases, case prevalence over different time spans, current COVID hotspots, and number of tests for the ABQ metro area at zip code level. Social vulnerability factors for the ABQ metro area at zip code level. COVID deaths at the small area level. The location of testing sites (updated regularly as new sites and information are found)The spread of COVID, testing, deaths, and PPE supply information by nursing homes (updated regularly)The locations of summer meal sites. This dashboard runs in this app: https://nmcdc.maps.arcgis.com/apps/MapSeries/index.html?appid=1ff0aa71c0ae427cbb5753d08ae19eabThis dashboard runs the following maps:Social Vulnerability Index, Albuquerque Metro Area, Census Tracts & Zip Codes, 2018 - https://nmcdc.maps.arcgis.com/home/item.html?id=850e8f2e7c394fb99041b94f813cb5faCOVID-19 Testing Locations - New Mexico - https://nmcdc.maps.arcgis.com/home/item.html?id=aace827af8fa4d2d9037ce5c7fb0e880COVID Deaths, NM Small Areas - CABQ - https://nmcdc.maps.arcgis.com/home/item.html?id=a56dab27204b4573a7f8d1663bc95844COVID-19 TESTING & CASES by TIME PERIODS, ZIP CODES - v1 - https://nmcdc.maps.arcgis.com/home/item.html?id=14e05ddda38d40cb9746750072d00c80Summer Meal Sites - CABQ - https://nmcdc.maps.arcgis.com/home/item.html?id=5fb8f3e689df4f03ab8be107d04fcd30Nursing Homes, COVID-19 Cases and Deaths, New Mexico and USA - https://nmcdc.maps.arcgis.com/home/item.html?id=8e74a05a32324aa3bcc07e2b1545d446

we utilized data from two main sources: the United States Census Bureau's American Community Survey (ACS) and the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry (CDC/ATSDR) Social Vulnerability Index (SVI).American Community Survey (ACS):Conducted by the U.S. Census Bureau, the ACS is an ongoing survey that provides detailed demographic and socio-economic data on the population and housing characteristics of the United States.The survey collects information on various topics such as income, education, employment, health insurance coverage, and housing costs and conditions.It offers more frequent and up-to-date information compared to the decennial census, with annual estimates produced based on a rolling sample of households.The ACS data is essential for policymakers, researchers, and communities to make informed decisions and address the evolving needs of the population.CDC/ATSDR Social Vulnerability Index (SVI):Created by ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) and utilized by the CDC, the SVI is designed to identify and map communities that are most likely to need support before, during, and after hazardous events.