This data is compiled from the Georgia Department of Public Health COVID-19 Daily Status Report page at: https://dph.georgia.gov/covid-19-daily-status-report. Georgia Department of Public Health (DPH). The GA DPH refreshes their data on this site daily and provides the updates in CSV format in a compressed (zip) file.

Interact with Georgia COVID-19 statistics by County, Region and MSA published by the Atlanta Regional Commission, continuously updated.Data source: 1Point3Acres.com, Georgia Department of Public HealthLearn More About Global Spread Trend:COVID-19 tracker , Edward Parker & Quentin Leclerc at London School of Hygiene & Tropical MedicineLearn More About Exponential Growth and Doubling Time:Exponential growth , WikipediaWhy "Exponential Growth" Is So Scary For The COVID-19 Coronavirus, Ethan Siegel at Forbes.comCoronavirus 10-day forecast, Ben Phillip at the University of MelbourneLearn More About Longer Term Spread Prediction and Healthcare Capacity:Modeling COVID-19 Spread vs Healthcare Capacity , Alison Hill at the Harvard UniversityCOVID-19 Projections, Institute for Health Metrics and Evaluation at the University of Washington

Continuously updated archive of daily Georgia COVID-19 cases from Georgia Emergency Management and Homeland Security Agency and Georgia Department of Public Health.. GEMA Dashboard: https://gema-soc.maps.arcgis.com/apps/MapSeries/index.html?appid=ce54a035db9f482ea4443be9f14fdf13

The counties of Trousdale and Lake – both in Tennessee – had the highest COVID-19 infection rates in the United States as of June 9, 2020. Dakota, Nobles, and Lincoln also ranked among the U.S. counties with the highest number of coronavirus cases per 100,000 people.

Coronavirus hits the East Coast In the United States, the novel coronavirus had infected around 5.4 million people and had caused nearly 170,000 deaths by mid-August 2020. The densely populated states of New York and New Jersey were at the epicenter of the outbreak in the country. New York City, which is composed of five counties, was one of the most severely impacted regions. However, the true level of transmission is likely to be much higher because many people will be asymptomatic or suffer only mild symptoms that are not diagnosed.

All states are in crisis The first coronavirus case in the U.S. was confirmed in the state of Washington in mid-January 2020. At the time, it was unclear how the virus was spreading; we now know that close contact with an infected person and breathing in their respiratory droplets is the primary mode of transmission. It is no surprise that the four states with the most coronavirus cases are those with the highest populations: New York, Texas, Florida, and California. However, Louisiana was the state with the highest COVID-19 infection rate per 100,000 people as of August 24, 2020.

This dataset contains daily counts of confirmed COVID-19 cases and hospitalizations and death due to COVID-19 segmented by Georgia county. The data come from the Georgia Department of Public Health COVID-19 Dashboard at https://ga-covid19.ondemand.sas.com/.

This layer shows the total confirmed cases of coronavirus COVID-19 by county in the state of Georgia. The information shown here is updated twice daily at 12:00 pm and 7:00 pm local time from data released by the Georgia Department of Public Health.Staff in the City of Johns Creek then take the report from the GA DPH and update this map layer for use by the public. To see the raw reports released from the Department of Public Health that are used by City of Johns Creek staff, visit this website here.

The dataset/status report contains COVID-19 confirmed cases, deaths, hospitalizations, and ICU admissions. It also contains COVID-19 testing (number of tests and positive tests both by PCR tests and serology tests). It also includes COVID-19 cases by county and demographics. Data was reported to GA DPH and was compiled by them. The data can be downloaded in CSV format. The data is open access and available to the public.

On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources:Global: World Health Organization (WHO)U.S.: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.This feature layer contains the most up-to-date COVID-19 cases for the US and Canada. Data sources: WHO, CDC, ECDC, NHC, DXY, 1point3acres, Worldometers.info, BNO, state and national government health departments, and local media reports. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by the Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact Johns Hopkins.IMPORTANT NOTICE: 1. Fields for Active Cases and Recovered Cases are set to 0 in all locations. John Hopkins has not found a reliable source for this information at the county level but will continue to look and carry the fields.2. Fields for Incident Rate and People Tested are placeholders for when this becomes available at the county level.3. In some instances, cases have not been assigned a location at the county scale. those are still assigned a state but are listed as unassigned and given a Lat Long of 0,0.Data Field Descriptions by Alias Name:Province/State: (Text) Country Province or State Name (Level 2 Key)Country/Region: (Text) Country or Region Name (Level 1 Key)Last Update: (Datetime) Last data update Date/Time in UTCLatitude: (Float) Geographic Latitude in Decimal Degrees (WGS1984)Longitude: (Float) Geographic Longitude in Decimal Degrees (WGS1984)Confirmed: (Long) Best collected count of Confirmed Cases reported by geographyRecovered: (Long) Not Currently in Use, JHU is looking for a sourceDeaths: (Long) Best collected count for Case Deaths reported by geographyActive: (Long) Confirmed - Recovered - Deaths (computed) Not Currently in Use due to lack of Recovered dataCounty: (Text) US County Name (Level 3 Key)FIPS: (Text) US State/County CodesCombined Key: (Text) Comma separated concatenation of Key Field values (L3, L2, L1)Incident Rate: (Long) People Tested: (Long) Not Currently in Use Placeholder for additional dataPeople Hospitalized: (Long) Not Currently in Use Placeholder for additional data

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        Coronavirus COVID-19 Cases in Georgia (by County).

This dataset consists of daily number of new COVID-19 cases according to the Georgia Department of Pubic Health (DPH). Included are total new cases and new cases by race along with 7-day and 14-day averages for each. The data are derived from a dataset published by DPH at https://ga-covid19.ondemand.sas.com.

Please see FAQ for latest information on COVID-19 Data Hub data flows: https://covid-19.geohive.ie/pages/helpfaqs.Notice:See the Technical Data Issues section in the FAQ for information about issues in data: https://covid-19.geohive.ie/pages/helpfaqs.Deaths: From 16th May 2022 onwards, reporting of Notified Deaths will be weekly (each Wednesday) with total deaths notified since the previous Wednesday reported. This is based on the date on which a death was notified on CIDR, not the date on which the death occurred. Data on deaths by date of death is available on the new HPSC Epidemiology of COVID-19 Data Hub https://epi-covid-19-hpscireland.hub.arcgis.com/.This Layer contains Covid-19 Daily Statistics for Ireland by County polygon as reported by the Health Protection Surveillance Centre. This service is updated once a week, each Wednesday, which includes data for the full time series.

This layer shows the cumulative COVID-19 case count for each zip code in Chatham County, normalized per 100,000 residents. To protect the privacy of personal health information, data is not shown for a zip code with fewer than 5 cases. Data is from the Georgia Department of Public Health Coastal Health District. For more information, see here: https://covid19.gachd.org/covid-19-cases-by-zip-code/ Please note: Zip codes reflect the mailing address of the individual testing positive and may not have a relationship to where the person contracted the virus. Also, a long-term care facility in a zip code may contribute to higher counts than is reflected in the general population of that defined area.

Recovery data is not currently available. Therefore, this graph does not show the number of “active” cases, but instead represents the total number of confirmed cases, starting with our District’s first case on March 18.

This dataset contains COVID-19 Daily Statistics for Ireland by County as reported by the Health Protection Surveillance Centre. This data includes confirmed cases (PCR) only and does not include positive antigen results uploaded to the HSE portal. Time series dataset from March 2020 to November 2023. Deaths: From 16th May 2022 to November 2023, reporting of Notified Deaths changed from daily to weekly. Data on deaths is based on the date on which a death was notified on CIDR, not the date on which the death occurred. Data on deaths by date of death is available on the HPSC Respiratory Virus Notification Hub https://respiratoryvirus.hpsc.ie/.

This file contains COVID-19 death counts and rates by month and year of death, jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia. Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file. Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death. Death counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington. Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf). Rate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year. Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

The Novel Coronavirus (COVID-19) pandemic is an emerging, rapidly evolving situation. This Impact Planning Report provides demographic statistics and information for Jones County relevant to COVID-19 vulnerability. This report was generated as an informatic by the Middle Georgia Regional Commission MGRC) using Esri's Business Analyst Online (BAO) interface. The data represented on this informatic is to be used for general planning purposes only and is a static representation of demographics at the time of report generation by MGRC in March 2020. To stay up-to-date on information, please refer to the U.S. Centers for Disease Control and other official outlets for new and breaking information as it becomes available.

This layer contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values. The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: August 2025 (preliminary values at the state and county level) The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor force Data obtained from the U.S. Bureau of Labor Statistics. Data downloaded: October 1, 2025Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNation Data Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS"s county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2023 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.As of the January 2022 estimates released on March 18th, 2022, BLS is reporting new data for the two new census areas in Alaska - Copper River and Chugach - and historical data for the previous census area - Valdez Cordova.As of the March 17th, 2025 release, BLS now reports data for 9 planning regions in Connecticut rather than the 8 previous counties. To better understand the different labor force statistics included in this map, see the diagram below from BLS:

We aimed to describe frequency of COVID-19 exposure risk factors among patients presenting for medical care at an urban, public hospital serving mostly uninsured/Medicare/Medicaid clients and risk factors associated with SARS-CoV-2 infection. Consenting, adult patients seeking care at a public hospital from August to November 2020 were enrolled in this cross-sectional investigation. Saliva, anterior nasal and nasopharyngeal swabs were collected and tested for SARS-CoV-2 using RT-PCR. Participant demographics, close contact, and activities ≤14 days prior to enrollment were collected through interview. Logistic regression was used to identify risk factors associated with testing positive for SARS-CoV-2. Among 1,078 participants, 51.8% were male, 57.0% were aged ≥50 years, 81.3% were non-Hispanic Black, and 7.6% had positive SARS-CoV-2 tests. Only 2.7% reported COVID-19 close contact ≤14 days before enrollment; this group had 6.79 adjusted odds of testing positive (95%CI = 2.78–16.62) than those without a reported exposure. Among participants who did not report COVID-19 close contact, working in proximity to ≥10 people (adjusted OR = 2.17; 95%CI = 1.03–4.55), choir practice (adjusted OR = 11.85; 95%CI = 1.44–97.91), traveling on a plane (adjusted OR = 5.78; 95%CI = 1.70–19.68), and not participating in an essential indoor activity (i.e., grocery shopping, public transit use, or visiting a healthcare facility; adjusted OR = 2.15; 95%CI = 1.07–4.30) were associated with increased odds of testing positive. Among this population of mostly Black, non-Hispanic participants seeking care at a public hospital, we found several activities associated with testing positive for SARS-CoV-2 infection in addition to close contact with a case. Understanding high-risk activities for SARS-CoV-2 infection among different communities is important for issuing awareness and prevention strategies.

The Novel Coronavirus (COVID-19) pandemic is an emerging, rapidly evolving situation. This Impact Planning Report provides demographic statistics and information for Crawford County relevant to COVID-19 vulnerability. This report was generated as an informatic by the Middle Georgia Regional Commission MGRC) using Esri's Business Analyst Online (BAO) interface. The data represented on this informatic is to be used for general planning purposes only and is a static representation of demographics at the time of report generation by MGRC in March 2020. To stay up-to-date on information, please refer to the U.S. Centers for Disease Control and other official outlets for new and breaking information as it becomes available.

The Novel Coronavirus (COVID-19) pandemic is an emerging, rapidly evolving situation. This Impact Planning Report provides demographic statistics and information for Twiggs County relevant to COVID-19 vulnerability. This report was generated as an informatic by the Middle Georgia Regional Commission MGRC) using Esri's Business Analyst Online (BAO) interface. The data represented on this informatic is to be used for general planning purposes only and is a static representation of demographics at the time of report generation by MGRC in March 2020. To stay up-to-date on information, please refer to the U.S. Centers for Disease Control and other official outlets for new and breaking information as it becomes available.

This layer shows demographic context for emergency response efforts. 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 percentage of households without access to internet. The size of the symbol represents the count of households without internet access. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B01001, B08201, B09021, B16003, B16004, B17020, B18101, B25040, B25117, B27010, B28001, B28002 Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 7, 2023National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis 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 2022 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 RicoThe States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus 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.