United States of America health data
＋ Follow new data42 datasets about health in United States of America.
This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Geological Survey, displays hospitals, medical centers, ambulance services, fire stations and EMS stations in the U.S. Per the USGS, “Structures data are designed to be used in general mapping and in the analysis of structure related activities using geographic information system technology. The National Map structures data is commonly combined with other data themes, such as boundaries, elevation, hydrography, and transportation, to produce general reference base maps. The types of structures collected are largely determined by the needs of disaster planning and emergency response, and homeland security organizations.” Data Source Location: Medical Emergency Response Structures - Overview
Dates of Images: May 18- 25, 2026 Summary This product provides the PM2.5 impacts at the surface from the Sandy Fire by calculating the total number of daytime hours when surface fine particulate matter (PM2.5) exceeded the 35 µg/m³ health threshold for sensitive groups (USG). Surface concentrations of PM2.5 Level 4 (L4) files were generated from Tropospheric Emissions: Monitoring of Pollution (TEMPO) Satellite and Advanced Baseline Imager (ABI) aerosol retrievals. The aerosol optical depth (AOD) and PM2.5 products were created at NOAA/NESDIS. The data covers the daytime observation windows during the active fire period from May 18 to May 25, 2026. Because TEMPO relies on sunlight, these observations represent approximately 10 to 12 hours of sun-lit coverage per calendar day rather than a full 24-hour cycle. For emergency managers, this highlights total cumulative exposure durations, allowing officials to efficiently target health impacts in heavily affected communities. Caveats and Limitations Since the TEMPO instrument only makes observations during daylight hours, communities likely experienced significant additional nighttime smoke exposure that is not captured in these products. Furthermore, dense cloud cover can block satellite measurements, and these values may underestimate the true duration of smoke exposure in persistently cloudy areas. TEMPO data also exhibits more noise at the edges of clouds. Suggested Use While hours when surface PM2.5 was greater than 35 µg/m³ represents the health standard referred to as "Unhealthy for Sensitive Groups," this daytime-only product is developed only for rapid disaster response and should not be used for official EPA regulatory compliance, which requires a full 24-hour average. Red colors in the image represent more hours when the surface pM2.5 concentrations were higher than 35 µg/m³. Satellite/Sensor/Resolution The surface PM2.5 product is estimated using data from two primary instruments: the TEMPO spectrometer aboard the Intelsat-40e commercial satellite and the Advanced Baseline Imager (ABI) on the GOES-R Series satellites (GOES-East and GOES-West). The final product is derived using a geographically weighted regression (GWR) algorithm that combines satellite aerosol optical depth (AOD) and aerosol layer height (ALH) with hourly data from AIRNOW surface monitors. While the raw TEMPO data has a native resolution of 2.0 km by 4.75 km, it is re-scaled to match the ABI's fixed grid, resulting in a final product with a spatial resolution of 2 km. Credits AOD and PM2.5 were provided by NOAA/NESDIS. Data analysis and cumulative exposure maps were created by Dr. Aishwarya Raman (BAERI/NASA ARC). Point of contact for TEMPO PM2.5 data - Amy Huff (Science and Technology Corporation (STC) at NOAA) and Shobha Kondragunta (NOAA). Esri REST Endpoint: See URL to the right. Data Download For data, please contact Amy Huff (Science and Technology Corporation (STC) at NOAA) and Shobha Kondragunta (NOAA).
This dataset provides annual fatal and nonfatal overdose counts for Tempe. Each record represents one calendar year and includes the number of fatal overdoses and nonfatal overdoses reported for that year. Key fields include year, fatal overdose count, and nonfatal overdose count. This data is sourced from the Maricopa County Department of Public Health, Division of Epidemiology. This information is a component of ongoing efforts to monitor overdose trends, inform prevention and response strategies, guide resource planning, and support improved public health in the City of Tempe. This page provides details about the Ending Opioids Overdoses performance measure. The performance measure dashboard is available at 1.31 Ending Opioid Overdoses Data Dictionary Additional Information Source: Tempe Overdose Report, Maricopa County Department of Public Health Division of Epidemiology Contact: Mary Mezey Contact E-Mail: Mary_Mezey@tempe.gov Contact Phone: 480-350-5428 Data Source Type: Excel Preparation Method: Data is provided in a report Publish Frequency: Annual Publish Method: Manual
A list of the violations recorded against permitted restaurants that failed inspection. Data Dictionary: EstablishmentID - Permit Number InspectionDate - date of inspection InspectionID - system inspection id EstTypeDesc - desciption of facility type premise_name - facility name premise_adr1_num - facility street number premise_adr1_street - facility street premise_city - facility city premise_state - facility state premise_zip - facility zip code InspectionType - description of inspection type score - inspection score InspTypeSpecificViolID - Violation ID for specific type of facility ViolationDesc - text description of violation critical_yn - Is the violation critical? Insp_Viol_Comments - violation comments rpt_area_id - Establishment Type Code Health and Wellness Protects and promotes the health, environment and well being of the people of Louisville, providing health-related programs and health office locations community wide. Contact: Gerald Kaforski gerald.kaforski@louisvilleky.gov
Routine reinspection of over 537 public pools and treated water aquatic facilities in the US State of Kentucky, totalling over 2,000 inspections per year. Inspections include spas (hot tubs), pools, wave pools, splash pads, theme park pools, and special purpose pools (such as dive pools) etc. Purpose of inspections is included in this data set. For more information on Louisville Metro’s aquatic inspection program and policies, see: https://louisvilleky.gov/government/health-wellness/swimming-pools Data will be updated weekly. Each week the data will be posted as a rolling five year table. That is the new data will be a set that includes inspections from the day of posting minus five years. Data Dictionary:Field Name-Definition InspectionID-Unique Identifier for the inspection Facility ID-Unique Identifier for the Facility Facility Name-Name of the Facility Facility Address-Location of the Facility Facility Address 2-Location of the Facility Facility City-Location of the Facility Facility State-Location of the Facility Facility Postal Code-Location of the Facility Facility County-Location of the Facility Venue Type- * POOL-Any natural or artificial body or basin of water which is modified, improved, constructed or installed for the purpose of public swimming or bathing under the control or any person and includes but is not limited to the following: beaches, swimming pools, wave pools, competition swimming pools, diving pools, water slides and spray pools. * HOT TUB/SPA-A special facility designed for recreational and therapeutic use, and which is not drained, cleaned, or refilled after each individual use. It may include, but not limited to, units designed for hydrojet circulation, hot water, cold water, mineral bath, air induction bubbles, or any combination thereof. Common terminology for a spa includes but not limited to, therapeutic pool, hydrotherapy pool, whirlpool, hot spa * WADING POOL-A pool intended only for small children. The maximum depth is less than twenty-four (24) inches. * OTHER-Any other swimming facility not specifically defined Inspection Date-Date the inspection was performed Inspection Score-"value between 0-100%, 86% without critical issue is a passing facility. A facility facility may have a score of 0 if the purpose of the inspection was ""Other""" Inspection Purpose- * ROUTINE: Used to record routine inspection on an establishment and other facilities. * FOLLOW-UP: Used to record all follow-up inspections as a result of a previous inspection. * COMPLAINT: Used to record the investigation of a complaint received by the agency for regulated establishments, nuisances and the initial investigation for an animal bite. * OTHER: The inspections are not given a numerical score. This inspection type used to record monitoring inspections for swimming pools. " Inspection Passed-TRUE: Inspection Score >= 86% without any critical violations. No Imminent Health Hazards-TRUE: no conditions are present that required of immediate closure of facility. Disinfectant-Type of disinfectant used at the facility, either BROMINE or CHLORINE Free Chlorine-measured in parts per million (PPM), the amount of free Chlorine in the body of water. Free Bromine-measured in parts per million (PPM), the amount of free Bromine in the body of water. pH-The amount of acidity measured in the body of water. Enclosure-TRUE: Facility Enclosure: adequate, self closing gate, good repair or locked if no lifeguard on duty. Main Drain Visible-TRUE: Turbidity: the water is clear enough to see the main drain at the bottom of the body of water. Safety Equipment"-TRUE: First Aid, Safety Equipment, Spa Timer Switch, Telephone: readily accessible, adequate, maintained, good repair POOLS and/or SPAS could include elevated lifeguard chair, ring buoy, life pole/shepherds crook, backboard with straps, first aid kit. " Disinfectant Level-TRUE: CHLORINE disinfectant levels maintained between 1.0 and 2.5ppm for pools or slides, 2.0 and 3.0ppm for spas. BROMINE disinfectant levels maintained between 1.0 and 2.5ppm for pools or slides, 3.0ppm for spas. Anything outside this range is considered a violation. When only a shallow end reading is taken or shallow and deep end reading the shallow end value is used. If only a deep end reading is taken that value is used. pH Balance-TRUE: pH value tested between 7.2 and 7.8, anything outside this range is considered a violation. Inspection Notes-Description of violations noted at the facility. Health and Wellness Protects and promotes the health, environment and well being of the people of Louisville, providing health-related programs and health office locations community wide. Contact: Gerald Kaforski LMPHWDataTeam@Louisvilleky.gov
The Arizona Youth Survey (AYS) is administered every two years to a statewide sample of 8th, 10th, and 12th grade youth under the direction of the Arizona Criminal Justice Commission Statistical Analysis Center. The survey includes questions assessing youth substance use, including fentanyl. This dataset contains selected fentanyl-related survey results for Tempe youth. Each record represents a survey question or response category for a specific grade level and survey year. Key fields include survey question, grade, year, percentage value, and grade. Unless otherwise noted in the Question field, percentage values represent respondents providing an affirmative response to the listed question or statement. Alternative response categories are identified in parentheses, such as (No). This data is sourced from the Arizona Youth Survey and has been prepared by the City of Tempe for use in the Tempe Youth Fentanyl Awareness and Use dashboard and for public data access. Data Scope The dataset includes selected fentanyl-related Arizona Youth Survey results for Tempe youth in 8th, 10th, and 12th grades for available survey years. Data are provided as aggregated percentages by survey question, grade level, and year and do not represent individual survey respondents. Data Use This dataset may be used to explore fentanyl awareness and reported use among surveyed Tempe youth and to compare results across grade levels and available survey years. It supports the Tempe Youth Fentanyl Awareness and Use dashboard. Data Limitations Results represent youth participating in the Arizona Youth Survey and should be interpreted within the methodology and limitations of the survey. Availability of questions and results may vary by survey year and grade level. A value of -8888 indicates that no data were provided for the question, grade, and year combination. This may indicate that the survey question was not asked or that a result was otherwise unavailable. -8888 should not be interpreted as 0%. For additional information about the Arizona Youth Survey and its methodology, see the Arizona Youth Survey. Data Dictionary Additional Information Contact Name: Mary Mezey Contact Email: Mary_Mezey@tempe.gov Data Source: Arizona Youth Survey (AYS), Arizona Criminal Justice Commission Statistical Analysis Center Data Source Type: Excel workbook Preparation Method: A subset of Arizona Youth Survey results specific to Tempe was provided to the City of Tempe in Excel format. The source data were transformed into a machine-readable tabular format in Power BI. Each record represents a survey question or response category by grade level and survey year. Missing or unavailable values are represented by -8888. Publish Method: Manual Publish Frequency: Biennial, based on availability of Arizona Youth Survey data.
Community-based adult day programs provide daily care and social connection for older adults living with cognitive impairment and dementia. These services can be an important part of an overall care plan for those living with dementia as they provide daily connection opportunities as well as relief for caregivers. Respite care provides a break for caregivers to allow them to take time to attend to personal matters, while also providing a safe, caring environment for their loved ones to remain cared for during this time. There may be short term or limited respite care available through the Department of Aging and Community Living (DACL) including grants to support caregivers. The best way to learn about these programs is to connect with the DACL or your local lead agency. Lastly, respite care options exist through many private agencies.
The composite risk dataset is the central product of the 2024 National Insect and Disease Risk Map (NIDRM). Risk is defined as: the expectation that 25 percent or more of the standing live basal area of trees greater than 1 inch in diameter will die over a 15-year (2024 to 2038) time frame due to insects and diseases. The 2024 NIDRM represents the integration of 172 individual insect and disease hazard models, all constructed within a common GIS-based, multi-criteria framework that can account for regional variations in forest health. The production of the 2024 Risk Map has been a highly collaborative process led by the USDA Forest Service (Forest Service) Forest Health Assessment and Applied Sciences Team (FHAAST) and Forest Health Protection (FHP). This layer divides pixels into two classes, based on their cumulative risk from all forest pests and pathogens: Risk: ≥ 25% of total tree basal area is at hazard. Treed but Not At Risk: trees detected, but Dataset Summary Phenomenon Mapped: Cumulative risk to insect and disease Geographic Extent: United States Layer Projection: NAD 1983 Albers Cell Size: 240-meters Pixel Depth: 8-bit integer Time Extent: 2024-2038 Update Frequency: USDA updates the data approximately every 5 years Source: National Insect & Disease Risk and Hazard Mapping | US Forest Service Data Vintage: 2024 Publication Date: August 2026 Analysis: This layer supports analysis What can you do with this layer?Identifying regions where forests are at greatest risk from insect or disease outbreaks. Identifying locations where wildfire fuel reduction projects overlap with elevated insect and disease risk. Informing long-range forest health assessments and policy decisions. The map should not be used to determine exactly where to cut trees, thin stands, apply pesticides, or conduct field treatments without additional site-specific analysis. Questions? Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.
The "Utah Small Health Statistics Areas" feature layer was developed by the Office of Public Health Assessment, Utah Department of Health using the Utah Local Health District and Small Area Designation Algorithm (see https://ibis.health.utah.gov/pdf/resource/Algorithm.pdf). Small Areas are defined based on ZIP Codes, population size, local health district and county boundaries, similarity of ZIP Code area income levels, community political boundaries, and input from local community representatives.
Descriptions of violations recorded during inspections by Louisville Metro Department of Public Health and Wellness. The Inspection_id column corresponds to the InspectionID column in the Inspections table. There are 0 to many inspection violations associated with each inspection in the Inspections table. Data Dictionary: inspection_id-system id of inspection InspTypeSpecificViolID-violatio number for type of inspection ViolationDesc-description of the violation weight-points taken off for violation critical_yn-is this a critical violation? If so means inspection failure comments rpt_area_id-facility type code delete_mark_id-system indicator id-violation system id Contact: Gerald Kaforski gerald.kaforski@louisvilleky.gov
Point locations of automated external defibrillators (AEDs) in the City of Santa Monica, California. Each feature records a street address, city and state, a description of where the AED is located, and the number of AEDs at that address. Published by smgov_agoladmin.
This dataset was generated to publish a geospatial inventory of Medical Facilities in Mecklenburg County, NC. This dataset includes attributes such as Name of Facility and Service Type. The locations are derived from a join between the MedicalFacilities_pt layer and the Parcel_py layer.
Data provides information on lead sampling results for drinking water at licensed child development facilities across Washington, DC. Sampling is conducted by the District Department of Energy & Environment (DOEE) to assist facilities in accordance with the Childhood Lead Exposure Prevention Amendment Act of 2017 and D.C. Code § 7-2051, which requires testing for lead in drinking water at child development facilities. The dataset covers calendar years 2018 through 2026 and includes facilities in all eight Wards. Data are updated monthly as new results become available. Users can explore facility?level sampling results, Ward?level trends, and compliance information. Sampling results include detected lead values, non-detects, and indicators for whether lead levels met or exceeded the 5-ppb threshold that requires corrective actions such as tagging outlets out of service, installing filters, or providing alternative drinking water. Symbols such as "
Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows health insurance coverage by type and by age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percent uninsured. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left. Vintage: 2019-2023ACS Table(s): B27010 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov The United States Census Bureau's American Community Survey (ACS):About the Survey Geography & ACS Technical Documentation News & Updates This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases. Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution. The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate. The data for this geographic area cannot be displayed because the number of sample cases is too small.
Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows health insurance coverage sex and race by age group. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Sums may add to more than the total, as people can be in multiple race groups (for example, Hispanic and Black) This layer is symbolized to show the percent of population with no health insurance coverage. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left. Vintage: 2019-2023ACS Table(s): B27010, C27001B, C27001C, C27001D, C27001E, C27001F, C27001G, C27001H, C27001I (Not all lines of these tables are available in this layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov The United States Census Bureau's American Community Survey (ACS):About the Survey Geography & ACS Technical Documentation News & Updates This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases. Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution. The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate. The data for this geographic area cannot be displayed because the number of sample cases is too small.
Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows health insurance coverage by type and by age group. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the count and percent uninsured. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left. Vintage: 2019-2023ACS Table(s): B27010 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov The United States Census Bureau's American Community Survey (ACS):About the Survey Geography & ACS Technical Documentation News & Updates This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases. Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution. The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate. The data for this geographic area cannot be displayed because the number of sample cases is too small.
This dataset provides fatal and nonfatal drug overdose statistics for Tempe. Each record represents an aggregated overdose statistic for a specified year, category, and subcategory. Data include overall overdose statistics and available breakdowns by age, sex, race and ethnicity, Zip Code, drugs involved, and other reported characteristics. Fatal overdose data are based on deaths occurring within Maricopa County and are derived from death certificate data. Information about drugs involved in fatal overdoses is supplemented with toxicology data from the Maricopa County Office of the Medical Examiner (OME). Nonfatal overdose data are derived from hospital discharge records for Maricopa County residents. This dataset is a Tempe-focused subset of overdose data provided by the Maricopa County Department of Public Health and supports public reporting and analysis of overdose trends. Data Scope The dataset contains aggregated fatal and nonfatal overdose statistics relevant to Tempe, with Maricopa County statistics included where available for context or comparison. Data may include overall statistics and breakdowns by demographic characteristics, ZIP Code, drugs involved, and other available categories. Fatal overdose statistics are based on the location of the overdose incident. Nonfatal overdose statistics are based on the patient's residence address. Zip Code Changes Zip Code 85288 was established on July 1, 2022. Maricopa County Department of Public Health re-geocoded historical fatal overdose data to reflect the updated Zip Code boundaries, including the new Zip Code of 85288. Nonfatal overdose data for 2022 were geocoded after the full year of data was finalized. As a result, 2022 data reported for Zip Code 85288 represent the entire calendar year are not limited to nonfatal overdoses occurring after July 1, 2022. Data Use This dataset may be used to examine overdose trends in Tempe, explore available demographic and geographic breakdowns, identify drugs associated with overdose events, and compare selected Tempe statistics with Maricopa County data. The dataset also supports the Tempe Opioid Misuse dashboard and related public reporting. Data Limitations Fatal and nonfatal overdose data are derived from different systems and use different geographic definitions. Fatal overdose data are based on the location of the overdose incident, while nonfatal overdose data are based on patient residence. Rates reported use latest available population estimates as denominators and over time may be adjusted as new population estimates become available. Hospital records used for nonfatal overdoses may not identify the specific drug responsible for an overdose. Hospitalizations and emergency department visits represent only a portion of the overall burden of nonfatal drug overdose. Drugs identified through toxicology testing in fatal overdose cases were not necessarily the cause of death. Drug-related percentages are calculated among OME-investigated fatal overdoses with available toxicology results. Homelessness status at the time of death is collected by the Office of the Medical Examiner and is not available before 2020. Related percentages are calculated among OME-investigated fatal overdoses with available toxicology results. Maricopa County Department of Public Health identifies fatal overdoses using qualifying ICD-10 codes appearing in any cause-of-death field. This approach may differ from methods used by other jurisdictions, so comparisons with other data sources should be made with caution. For additional information about the source data and methodology, see Maricopa County Overdose Data. Data Dictionary Additional Information Contact Name: Mary Mezey Contact Email: Mary_Mezey@tempe.gov Data Source: Maricopa County Department of Public Health Data Source Type: County health data Preparation Method: A Tempe-focused subset of Maricopa County overdose data was provided in spreadsheet format. The source data were transformed into a machine-readable tabular structure for publication and reporting. Data are organized by year, overdose type, category, and subcategory, with separate numeric fields for applicable counts and percentages. Publish Method: Manual Publish Frequency: Based on availability of updated Maricopa County Department of Public Health overdose data.
These resources offer support to individuals with dementia and their families and/or caregivers, including assistance with education, connection to resources, coordination of services, and coordination of healthcare.
This data is being displayed in the Durham Area Food Resources Locator which was created in collaboration between the DINE nutrition program at Durham County Public Health and the Durham County/City of Durham GIS Division.
Health facilities: hospitals, clinics, pharmacies, doctors, and dentists tagged via `amenity` or `healthcare`. Useful for service-access analysis, emergency response, and healthcare gap mapping. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, healthcare - Part of the country exports on HDX by HOT
Stormwater manholes were field collected within the project area for the Storm Drain System (MS4) GIS Mapping Project for Boulder County Public Health. The data was collected with a Trimble Geo-XH 6000 with a horizontal post-processed accuracy of 2.5 cm (.98in). The data was post processed using the base stations located in and around Boulder County. The data dictionary used to collect the data was developed in collaboration with the Boulder County Public Health Project Manager. This data was collected between April and December 2017 by Anderson Consulting Engineers.
Outlets were field collected within the project area for the Storm Drain System (MS4) GIS Mapping Project for Boulder County Public Health. The data was collected with a Trimble Geo-XH 6000 with a horizontal post-processed accuracy of 2.5 cm (.98in). The data was post processed using the base stations located in and around Boulder County. The data dictionary used to collect the data was developed in collaboration with the Boulder County Public Health Project Manager. This data was collected between April and December 2017 by Anderson Consulting Engineers and is updated by County staff as needed.
The Wake County health department inspects food service facilities throughout Wake County. The department permits and inspects these facilities, and responds to citizen complaints. In the event of disease outbreak, the department investigates to determine the source of the infection, and prevent further illness.This dataset captures the restaurants that are inspected. The data set is geocoded based on address with approximately 85% of the locations having a valid geo-location. You can find out additional information about our restaurant inspections on our website: Food Safety and Sanitation This table captures all Wake County sanitation inspections from September 20, 2012 to Present. This table is part of a set of data that combined will give you a picture of all restaurant inspections. Those three tables are: 1. Restaurants: This table captures all active facilities where Wake County performs sanitations inspections. Facilities that are closed are removed from all three files in this dataset. Per NC State regulations, facilities that have a change in ownership are considered closed and the restaurant re-opens under a new permit, even if there is not a change in the name of the restaurant. 2. Food Inspections: This table captures all Wake County performs sanitations inspections at active restaurants since September 20, 2012 3. Food Inspection Violations: This table captures all violations identified during specific Wake County sanitations inspections at active restaurants since September 20, 2012. It reports the results in code violations and according to CDC Risk Factors. You can find additional information about the CDC Risk Factors on the FDA website: Retail Risk Factor Study The tables can be connected through the HSISID field. The frequency of facility inspections fall under the following rules: Inspected once per year: Risk Category I applies to food service establishments that prepare only non-potentially hazardous foods. Inspected twice per year: Risk Category II applies to food service establishments that cook and cool no more than two potentially hazardous foods. Potentially hazardous raw ingredients shall be received in a ready-to-cook form. Inspected three times per year Risk Category III applies to food service establishments that cook and cool no more than three potentially hazardous foods. Inspected four times per year Risk Category IV applies to food service establishments that cook and cool an unlimited number of potentially hazardous foods. This category also includes those facilities using specialized processes or serving a highly susceptible population. Field Descriptions are available here.
Full Metadata This web service includes a selection of the National Air Toxics Assessment (NATA) 2014 estimates of ambient concentrations and health-effect results by 2010 census tracts, counties, and states. Although this service uses 2014 NATA data, the underlying Census tracts are 2010 augmented with 2011 Census tracts for VI plus Bedford City, VA into Bedford County VA. This dataset is based on data from 2014 NATA, which was produced by the US EPA to estimate health risks from toxic air pollutants. It was modified for incorporation into the EnviroAtlas Compare My Area tool. The NATA results are available as downloadable data from https://www.epa.gov/national-air-toxics-assessment/2014-nata-assessment-results.
Dates of Images: July 4-July 8 Summary: This product provides the PM2.5 impacts at the surface from the Sandy Fire by calculating the total number of daytime hours when surface fine particulate matter (PM2.5) exceeded the 35 µg/m³ health threshold for sensitive groups (USG). Surface concentrations of PM2.5 Level 4 (L4) files were generated from Tropospheric Emissions: Monitoring of Pollution (TEMPO) Satellite and Advanced Baseline Imager (ABI) aerosol retrievals. The aerosol optical depth (AOD) and PM2.5 products were created at NOAA/NESDIS. The data covers the daytime observation windows during the active fire period from May 18 to May 25, 2026. Because TEMPO relies on sunlight, these observations represent approximately 10 to 12 hours of sun-lit coverage per calendar day rather than a full 24-hour cycle. For emergency managers, this highlights total cumulative exposure durations, allowing officials to efficiently target health impacts in heavily affected communities. Caveats and Limitations: Since the TEMPO instrument only makes observations during daylight hours, communities likely experienced significant additional nighttime smoke exposure that is not captured in these products. Furthermore, dense cloud cover can block satellite measurements, and these values may underestimate the true duration of smoke exposure in persistently cloudy areas. TEMPO data also exhibits more noise at the edges of clouds. Suggested Use: While hours when surface PM2.5 was greater than 35 µg/m³ represents the health standard referred to as "Unhealthy for Sensitive Groups," this daytime-only product is developed only for rapid disaster response and should not be used for official EPA regulatory compliance, which requires a full 24-hour average. Red colors in the image represent more hours when the surface pM2.5 concentrations were higher than 35 µg/m³. Satellite/Sensor/Resolution: The surface PM2.5 product is estimated using data from two primary instruments: the TEMPO spectrometer aboard the Intelsat-40e commercial satellite and the Advanced Baseline Imager (ABI) on the GOES-R Series satellites (GOES-East and GOES-West). The final product is derived using a geographically weighted regression (GWR) algorithm that combines satellite aerosol optical depth (AOD) and aerosol layer height (ALH) with hourly data from AIRNOW surface monitors. While the raw TEMPO data has a native resolution of 2.0 km by 4.75 km, it is re-scaled to match the ABI's fixed grid, resulting in a final product with a spatial resolution of 2 km. Credits: AOD and PM2.5 were provided by NOAA/NESDIS. Data analysis and cumulative exposure maps were created by Dr. Aishwarya Raman (BAERI/NASA ARC). Point of contact for TEMPO PM2.5 data - Amy Huff (Science and Technology Corporation (STC) at NOAA) and Shobha Kondragunta (NOAA). Esri REST Endpoint: See URL to the right. Data Download: For data, please contact Amy Huff (Science and Technology Corporation (STC) at NOAA) and Shobha Kondragunta (NOAA).
Full Metadata This web service includes a selection of the National Air Toxics Assessment (NATA) 2014 estimates of ambient concentrations and health-effect results by 2010 census tracts, counties, and states. Although this service uses 2014 NATA data, the underlying Census tracts are 2010 augmented with 2011 Census tracts for VI plus Bedford City, VA into Bedford County VA. This dataset is based on data from 2014 NATA, which was produced by the US EPA to estimate health risks from toxic air pollutants. It was modified for incorporation into the EnviroAtlas Compare My Area tool. The NATA results are available as downloadable data from https://www.epa.gov/national-air-toxics-assessment/2014-nata-assessment-results.
Full Metadata This web service includes a selection of the National Air Toxics Assessment (NATA) 2014 estimates of ambient concentrations and health-effect results by 2010 census tracts, counties, and states. Although this service uses 2014 NATA data, the underlying Census tracts are 2010 augmented with 2011 Census tracts for VI plus Bedford City, VA into Bedford County VA. This dataset is based on data from 2014 NATA, which was produced by the US EPA to estimate health risks from toxic air pollutants. It was modified for incorporation into the EnviroAtlas Compare My Area tool. The NATA results are available as downloadable data from https://www.epa.gov/national-air-toxics-assessment/2014-nata-assessment-results.
Full Metadata This web service includes a selection of the National Air Toxics Assessment (NATA) 2014 estimates of ambient concentrations and health-effect results by 2010 census tracts, counties, and states. Although this service uses 2014 NATA data, the underlying Census tracts are 2010 augmented with 2011 Census tracts for VI plus Bedford City, VA into Bedford County VA. This dataset is based on data from 2014 NATA, which was produced by the US EPA to estimate health risks from toxic air pollutants. It was modified for incorporation into the EnviroAtlas Compare My Area tool. The NATA results are available as downloadable data from https://www.epa.gov/national-air-toxics-assessment/2014-nata-assessment-results.
Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
Full Metadata This web service includes a selection of the National Air Toxics Assessment (NATA) 2014 estimates of ambient concentrations and health-effect results by 2010 census tracts, counties, and states. Although this service uses 2014 NATA data, the underlying Census tracts are 2010 augmented with 2011 Census tracts for VI plus Bedford City, VA into Bedford County VA. This dataset is based on data from 2014 NATA, which was produced by the US EPA to estimate health risks from toxic air pollutants. It was modified for incorporation into the EnviroAtlas Compare My Area tool. The NATA results are available as downloadable data from https://www.epa.gov/national-air-toxics-assessment/2014-nata-assessment-results.
Stormwater outfalls were field collected within the project area for the Storm Drain System (MS4) GIS Mapping Project for Boulder County Public Health. The data was collected with a Trimble Geo-XH 6000 with a horizontal post-processed accuracy of 2.5 cm (.98in). The data was post processed using the base stations located in and around Boulder County. The data dictionary used to collect the data was developed in collaboration with the Boulder County Public Health Project Manager. This data was collected between April and December 2017by Anderson Consulting Engineers.
Full Metadata This web service includes a selection of the National Air Toxics Assessment (NATA) 2014 estimates of ambient concentrations and health-effect results by 2010 census tracts, counties, and states. Although this service uses 2014 NATA data, the underlying Census tracts are 2010 augmented with 2011 Census tracts for VI plus Bedford City, VA into Bedford County VA. This dataset is based on data from 2014 NATA, which was produced by the US EPA to estimate health risks from toxic air pollutants. It was modified for incorporation into the EnviroAtlas Compare My Area tool. The NATA results are available as downloadable data from https://www.epa.gov/national-air-toxics-assessment/2014-nata-assessment-results.
Full Metadata This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The layers in this web service depict ecosystem services at the census block group level for all EnviroAtlas communities. These layers illustrate the ecosystems and natural resources that are associated with clean air, clean and plentiful water, natural hazard mitigation, climate stabilization, recreation, culture, and aesthetics, and biodiversity conservation, and factors that place stress on those resources. EnviroAtlas allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the conterminous United States as well as detailed metrics for select communities. Additional descriptive information about each attribute in this web service can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).