This file contains death counts and death rates for drug overdose, suicide, homicide and firearm injuries by state of residence (additional datasets exist for other levels of geography). The data is grouped by 2 different time periods including yearly and trailing twelve months. Please see data dictionary for intents and mechanisms included in each measure.

This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census tract 2022 boundary file in a GIS system to produce maps for 40 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

Wisconsin DNR Web map displaying the CDC Social Vulnerability Index 2018 at the census tract Level, centered on Wisconsin. The 2018 Social Vulnerability Index (SVI) layer was created by the Centers for Disease Control and Prevention (CDC) / Agency for Toxic Substances and Disease Registry (ATSDR) / Geospatial Research, Analysis, and Services Program (GRASP). Visit https://www.atsdr.cdc.gov/placeandhealth/svi/index.html for more information.

The interactive maps are visual representations of the Social Vulnerability Index (SVI). Data were extracted from the US Census and the American Community Survey.

This public use dataset has 11 data elements reflecting COVID-19 community levels for all available counties. This dataset contains the same values used to display information available at https://res1wwwd-o-tcdcd-o-tgov.vcapture.xyz/coronavirus/2019-ncov/science/community-levels-county-map.html. CDC looks at the combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days — to determine the COVID-19 community level. The COVID-19 community level is determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge. Using these data, the COVID-19 community level is classified as low, medium , or high. COVID-19 Community Levels can help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals. See https://res1wwwd-o-tcdcd-o-tgov.vcapture.xyz/coronavirus/2019-ncov/science/community-levels.html for more information. Visit CDC’s COVID Data Tracker County View* to learn more about the individual metrics used for CDC’s COVID-19 community level in your county. Please note that county-level data are not available for territories. Go to https://res1covidd-o-tcdcd-o-tgov.vcapture.xyz/covid-data-tracker/#county-view. For the most accurate and up-to-date data for any county or state, visit the relevant health department website. *COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.

This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2022 release in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2020 or 2019 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2022 release uses 2020 BRFSS data for 25 measures and 2019 BRFSS data for 4 measures (high blood pressure, taking high blood pressure medication, high cholesterol, and cholesterol screening) that the survey collects data on every other year. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

This file contains death counts and death rates for drug overdose, suicide, homicide and firearm injuries by census tract of residence (additional datasets exist for other levels of geography). The data is grouped by 2 different time periods including yearly and trailing twelve months. Please see data dictionary for intents and mechanisms included in each measure.

When there are 1-9 deaths in an area, CDC uses a Bayesian model to calculate rates. A Bayesian model is a type of statistical model often used in geographic analysis. This model can improve stability of the rates in lower population areas and protects privacy by taking into account information from neighboring areas.

This feature layer visualizes the 2018 overall SVI for U.S. counties and tractsSocial Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. county and tract15 social factors grouped into four major themesIndex value calculated for each county for the 15 social factors, four major themes, and the overall rankWhat is CDC Social Vulnerability Index?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 Transportation VariablesFor a detailed description of variable uses, please refer to the full SVI 2018 documentation.RankingsWe ranked counties and tracts for the entire United States against one another. This feature layer can be used for mapping and analysis of relative vulnerability of counties in multiple states, or across the U.S. as a whole. Rankings are based on percentiles. Percentile ranking values range from 0 to 1, with higher values indicating greater vulnerability. For each county and tract, we generated its percentile rank among all counties and tracts for 1) the fifteen individual variables, 2) the four themes, and 3) its overall position. Overall Rankings:We totaled the sums for each theme, ordered the counties, and then calculated overall percentile rankings. Please note: taking the sum of the sums for each theme is the same as summing individual variable rankings.The overall tract summary ranking variable is RPL_THEMES. Theme rankings:For each of the four themes, we summed the percentiles for the variables comprising each theme. We ordered the summed percentiles for each theme to determine theme-specific percentile rankings. The four summary theme ranking variables are: Socioeconomic theme - RPL_THEME1Housing Composition and Disability - RPL_THEME2Minority Status & Language - RPL_THEME3Housing & Transportation - RPL_THEME4FlagsCounties in the top 10%, i.e., at the 90th percentile of values, are given a value of 1 to indicate high vulnerability. Counties below the 90th percentile are given a value of 0. For a theme, the flag value is the number of flags for variables comprising the theme. We calculated the overall flag value for each county as the total number of all variable flags. SVI Informational VideosIntroduction to CDC Social Vulnerability Index (SVI)Methods for CDC Social Vulnerability Index (SVI)More Questions?CDC SVI 2018 Full DocumentationSVI Home PageContact the SVI Coordinator

Our analysis for the manuscript, "Planning for climate migration in Great Lake Legacy Cities" uses county level spatial data from the FEMA National Risk Index (USFEMA, 2021) and the CDC SVI ranking system (ATSDR, 2018) in the form of shapefiles(.shp). To create the geovisualization, we used boundaries of the Great Lakes that are published here https://www.glc.org/greatlakesgis. All analysis was conducted using R (2020), with code that can be found here: https://derekvanberkel.github.io/Planning-for-climate-migration-in-Great-Lake-Legacy-Cities/

ATSDR. (2018). Cdc/atsdr social vulnerability index. https://www.atsdr.cdc.gov/placeandhealth/svi/fact sheet/fact sheet.html.

USGCRP. (2018). Impacts, risks, and adaptation in the united states: Fourth national climate assessment. US Global Change Research Program.

The CDC Division for Heart Disease and Stroke Prevention's Data Trends & Maps online tool allows searching for and view of health indicators related to Heart Disease and Stroke Prevention on the basis of a specific location or a health indicator.

This dataset contains model-based place (incorporated and census designated places) level estimates for the PLACES 2021 release in GIS-friendly format. PLACES is the expansion of the original 500 Cities Project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areas at 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) 2019 or 2018 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 or 2014–2018 estimates. The 2021 release uses 2019 BRFSS data for 22 measures and 2018 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours a night). Seven measures are based on the 2018 BRFSS data because the relevant questions are only asked every other year in the BRFSS. These data can be joined with the 2019 Census TIGER/Line place boundary file in a GIS system to produce maps for 29 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=024cf3f6f59e49fe8c70e0e5410fe3cf

This web map is part of the Centers for Disease Control and Prevention (CDC) PLACES. It provides model-based estimates of physical inactivity prevalence among adults aged 18 years and old at county, place, census tract and ZCTA levels in the United States. PLACES is an expansion of the original 500 Cities Project and a collaboration between the CDC, the Robert Wood Johnson Foundation, and the CDC Foundation. Data sources used to generate these estimates include the Behavioral Risk Factor Surveillance System (BRFSS), Census 2020 population counts or Census annual county-level population estimates, and the American Community Survey (ACS) estimates. For detailed methodology see www.cdc.gov/places. For questions or feedback send an email to places@cdc.gov.Measure name used for physical inactivity is LPA.

This dataset tracks the updates made on the dataset "CDC Social Vulnerability Index (SVI) Mapping Dashboard" as a repository for previous versions of the data and metadata.

This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimates, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the census 2022 county boundary file in a GIS system to produce maps for 40 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

The CDC/ATSDR Social Vulnerability Index (CDC/ATSDR SVI or SVI) is a place-based index, database, and mapping application designed to identify and quantify communities experiencing social vulnerability. The Geospatial Research, Analysis & Services Program (GRASP) maintains the SVI to help public health officials and local planners better prepare for and respond to emergency events with the goal of decreasing human suffering, economic loss, and health inequities. Learn more about the SVI in the frequently asked questions. Link CDC Webmap https://www.atsdr.cdc.gov/place-health/php/svi/svi-interactive-map.htmlThe CDC/ATSDR SVI ranking variables for the four themes are:RPL_THEME1 for the Socioeconomic Status themeRPL_THEME2 for the Household Characteristics themeRPL_THEME3 for the Racial & Ethnic Minority Status themeRPL_THEME4 for the Housing Type & Transportation theme.RPL_THEMES is the SVI ranking variable for overall vulnerability. See the CDC/ASTDR SVI Documentation for further information.For more information, please visit the CDC/ATSDR SVI homepage or contact the CDC/ATSDR SVI Coordinator.

Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by week of death and by hospital referral region (HRR). HRR is determined by county of occurrence. Weekly weighted counts of deaths from all causes and due to COVID-19 are provided by HRR overall and for decedents 65 years and older. The weighted counts by HRRs are based on published methods for aggregating county-level data to HRRs. More detail about aggregating to HRRs from counties can be found in the following: https://github.com/Dartmouth-DAC/covid-19-hrr-mapping https://dartmouthatlas.org/covid-19/hrr-mapping/

CDC is planning a major relaunch of CDC.gov on May 15th, followed by subsequent monthly batches of sites restructuring their CDC.gov content into the fall of 2024.

Because this restructuring includes merged or changed content, CDC will be updating all URLs to a new standard naming structure. About 70% of these updates will occur during the May 15th launch, but another 30% of our content and URLs will be restructured on a rolling schedule.

This data set contains the mapping information from old URLs to new URLs. Before May 15th, 2024, this dataset will only include one row of data to preview the fields in the dataset. After May 15th it will contain all content URLs that changed as part of the relaunch of CDC.gov. After launch, we will continue to add additional mappings typically around the 15th of each month for any for sites updated in each monthly batch.

This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information "Eastern equine encephalitis virus is transmitted to humans through the bite of an infected mosquito. Human eastern equine encephalitis cases occur relatively infrequently, largely because the primary transmission cycle takes place in and around swampy areas where people are less likely to go. Eastern equine encephalitis virus transmission is most common in and around freshwater hardwood swamps in the Atlantic and Gulf Coast states and the Great Lakes region. All residents of and visitors to areas where eastern equine encephalitis virus activity has been identified are at risk of infection. People who work and participate in recreational activities outdoors in endemic areas are at increased risk of infection. Persons over 50 years of age and under 15 years of age seem to be at greatest risk for developing severe disease when infected with eastern equine encephalitis virus. Overall, only about 4–5% of human eastern equine encephalitis virus infections result in eastern equine encephalitis. Eastern equine encephalitis virus infection is thought to provide life-long immunity against reinfection. However, the immunity does not protect against other alphaviruses (e.g., western equine encephalitis virus), flaviviruses (e.g., West Nile virus), or bunyaviruses (e.g., La Crosse virus). In the United States, an average of 11 human cases of eastern equine encephalitis are reported annually. To ensure standardization of reporting across the country, CDC recommends that the national surveillance case definition be consistently applied by all state health departments." [Quote from https://www.cdc.gov/eastern-equine-encephalitis/datamaps/index.html] This extracted dataset includes Current Year Data (for 2024) and Historical Data (for 2003 to 2023) from the CDC Eastern Equine Encephalitis Data and Maps page (https://www.cdc.gov/eastern-equine-encephalitis/data-maps/historic-data.html) "ArboNET is a national arboviral surveillance system managed by CDC and state health departments. The visuals on this dashboard display eastern equine encephalitis data from 2003–2023." [Quote from https://www.cdc.gov/eastern-equine-encephalitis/data-maps/historicdata.html]

1991-2016. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. Funding Data, Appropriations (1991-2016) and Expenditures (2008-2016). Appropriations data show public funds allocated to/by a particular state for tobacco prevention and control. They are not necessarily expended. Appropriations are from four major funding sources, Federal, state, Robert Wood Johnson Foundation (RWJF), and the American Legacy Foundation (Legacy). Expenditures are amounts spent by state tobacco control programs on tobacco prevention and control. Expenditure data are available by CDC Best Practices Program Components (State and Community Interventions, Health Communication Interventions, Cessation Interventions, Surveillance and Evaluation, and Administration and Management). Expenditures from 2008 to 2014 are compared against 2007 CDC Best Practices Recommendations; expenditures from 2015 and forward are compared against 2014 CDC Best Practices Recommendations.

This dataset includes data on adult's diet, physical activity, and weight status from Behavioral Risk Factor Surveillance System. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding.