100+ datasets found
  1. COVID-19-related excess mortality rates in select countries in 2020, by age

    • statista.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista, COVID-19-related excess mortality rates in select countries in 2020, by age [Dataset]. https://www.statista.com/statistics/1259019/covid-related-excess-mortality-rate-in-the-us-and-select-countries-by-age/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    In 2020, the U.S. had the highest COVID-19 pandemic-related excess mortality rate among non-elderly people compared to other peer countries. “Excess deaths” represent the number of deaths beyond what is expected in a typical year. This measure illustrates the mortality directly or indirectly associated with the COVID-19 pandemic. This statistic presents the COVID-19 pandemic-related excess mortality rate in the U.S. and select countries in 2020, by age group (per 100,000 people in age group).

  2. Excess Deaths Associated with COVID-19

    • catalog.data.gov
    • healthdata.gov
    • +8more
    Updated Apr 23, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Disease Control and Prevention (2025). Excess Deaths Associated with COVID-19 [Dataset]. https://catalog.data.gov/dataset/excess-deaths-associated-with-covid-19
    Explore at:
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov. Estimates of excess deaths can provide information about the burden of mortality potentially related to COVID-19, beyond the number of deaths that are directly attributed to COVID-19. Excess deaths are typically defined as the difference between observed numbers of deaths and expected numbers. This visualization provides weekly data on excess deaths by jurisdiction of occurrence. Counts of deaths in more recent weeks are compared with historical trends to determine whether the number of deaths is significantly higher than expected. Estimates of excess deaths can be calculated in a variety of ways, and will vary depending on the methodology and assumptions about how many deaths are expected to occur. Estimates of excess deaths presented in this webpage were calculated using Farrington surveillance algorithms (1). For each jurisdiction, a model is used to generate a set of expected counts, and the upper bound of the 95% Confidence Intervals (95% CI) of these expected counts is used as a threshold to estimate excess deaths. Observed counts are compared to these upper bound estimates to determine whether a significant increase in deaths has occurred. Provisional counts are weighted to account for potential underreporting in the most recent weeks. However, data for the most recent week(s) are still likely to be incomplete. Only about 60% of deaths are reported within 10 days of the date of death, and there is considerable variation by jurisdiction. More detail about the methods, weighting, data, and limitations can be found in the Technical Notes.

  3. COVID-19 death rates in the United States as of March 10, 2023, by state

    • statista.com
    Updated May 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). COVID-19 death rates in the United States as of March 10, 2023, by state [Dataset]. https://www.statista.com/statistics/1109011/coronavirus-covid19-death-rates-us-by-state/
    Explore at:
    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of March 10, 2023, the death rate from COVID-19 in the state of New York was 397 per 100,000 people. New York is one of the states with the highest number of COVID-19 cases.

  4. U

    United States Excess Death excl COVID: Predicted: Total Excess Est: Wyoming

    • ceicdata.com
    Updated Oct 15, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2020). United States Excess Death excl COVID: Predicted: Total Excess Est: Wyoming [Dataset]. https://www.ceicdata.com/en/united-states/number-of-excess-deaths-by-states-all-causes-excluding-covid19-predicted
    Explore at:
    Dataset updated
    Oct 15, 2020
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2023 - Sep 16, 2023
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    Excess Death excl COVID: Predicted: Total Excess Est: Wyoming data was reported at 1,195.000 Number in 16 Sep 2023. This stayed constant from the previous number of 1,195.000 Number for 09 Sep 2023. Excess Death excl COVID: Predicted: Total Excess Est: Wyoming data is updated weekly, averaging 1,195.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 1,195.000 Number in 16 Sep 2023 and a record low of 1,195.000 Number in 16 Sep 2023. Excess Death excl COVID: Predicted: Total Excess Est: Wyoming data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G012: Number of Excess Deaths: by States: All Causes excluding COVID-19: Predicted (Discontinued).

  5. COVID-19-related excess mortality rate in the U.S. in 2020, by age and...

    • statista.com
    Updated Nov 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). COVID-19-related excess mortality rate in the U.S. in 2020, by age and ethnicity [Dataset]. https://www.statista.com/statistics/1259041/covid-related-excess-mortality-rate-in-the-us-by-age-and-ethnicity/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United States
    Description

    In 2020, the highest COVID-19 pandemic-related excess mortality rate was among older Hispanics. “Excess deaths” represent the number of deaths beyond what is expected in a typical year. This measure illustrates the mortality directly or indirectly associated with the COVID-19 pandemic. This statistic presents COVID-19 pandemic-related excess mortality rates in the U.S. in 2020, by age group and ethnicity.

  6. U

    United States Excess Deaths excl COVID: Predicted: Above Expected: Arkansas

    • ceicdata.com
    Updated Oct 15, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2020). United States Excess Deaths excl COVID: Predicted: Above Expected: Arkansas [Dataset]. https://www.ceicdata.com/en/united-states/number-of-excess-deaths-by-states-all-causes-excluding-covid19-predicted
    Explore at:
    Dataset updated
    Oct 15, 2020
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 14, 2021 - Oct 30, 2021
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    Excess Deaths excl COVID: Predicted: Above Expected: Arkansas data was reported at 0.000 Number in 30 Oct 2021. This stayed constant from the previous number of 0.000 Number for 23 Oct 2021. Excess Deaths excl COVID: Predicted: Above Expected: Arkansas data is updated weekly, averaging 0.000 Number from Jan 2017 (Median) to 30 Oct 2021, with 251 observations. The data reached an all-time high of 93.000 Number in 07 Aug 2021 and a record low of 0.000 Number in 30 Oct 2021. Excess Deaths excl COVID: Predicted: Above Expected: Arkansas data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G012: Number of Excess Deaths: by States: All Causes excluding COVID-19: Predicted (Discontinued).

  7. Cumulative number of excess deaths due to COVID-19 pandemic U.S. 2020-21, by...

    • statista.com
    Updated Aug 15, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2023). Cumulative number of excess deaths due to COVID-19 pandemic U.S. 2020-21, by month [Dataset]. https://www.statista.com/statistics/1306889/cumulative-number-excess-deaths-covid-pandemic-us-by-month/
    Explore at:
    Dataset updated
    Aug 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    It is estimated that by the end of 2021 the COVID-19 pandemic had caused around 932,458 excess deaths in the United States. This statistic shows the cumulative mean number of excess deaths associated with the COVID-19 pandemic in the United States in 2020-2021, by month.

  8. H

    Replication Data for: Excess Mortality in U.S. Prisons During the COVID-19...

    • datasetcatalog.nlm.nih.gov
    • dataverse.harvard.edu
    • +1more
    Updated Oct 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kaiser, Daniela; Jimenez, Monik; Secrist, Erin; Goodsell, Rebecca; Reiter, Keramet; Patil, Ankita; Tublitz, Rebecca; Turney, Kristin; Sugie, Naomi (2023). Replication Data for: Excess Mortality in U.S. Prisons During the COVID-19 Pandemic [Dataset]. http://doi.org/10.7910/DVN/HDPPRI
    Explore at:
    Dataset updated
    Oct 31, 2023
    Authors
    Kaiser, Daniela; Jimenez, Monik; Secrist, Erin; Goodsell, Rebecca; Reiter, Keramet; Patil, Ankita; Tublitz, Rebecca; Turney, Kristin; Sugie, Naomi
    Description

    Replication materials for "Excess Mortality in U.S. Prisons During the COVID-19 Pandemic." 2023. Science Advances.

  9. Rate of excess deaths due to COVID-19 pandemic in select countries worldwide...

    • statista.com
    Updated May 5, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2022). Rate of excess deaths due to COVID-19 pandemic in select countries worldwide 2020-21 [Dataset]. https://www.statista.com/statistics/1083605/rate-excess-deaths-covid-pandemic-select-countries/
    Explore at:
    Dataset updated
    May 5, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    It is estimated that from 2020 to 2021, the mean rate of excess deaths associated with the COVID-19 pandemic from all-causes was highest in Peru. In 2020-2021, there were around 437 excess deaths due to the COVID-19 pandemic per 100,000 population in Peru. This statistic shows the mean number of excess deaths associated with the COVID-19 pandemic from all-causes in 2020-2021 in select countries worldwide, per 100,000 population.

  10. U

    United States Excess Death excl COVID: Predicted: Total Estimate: Florida

    • ceicdata.com
    Updated Sep 16, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2023). United States Excess Death excl COVID: Predicted: Total Estimate: Florida [Dataset]. https://www.ceicdata.com/en/united-states/number-of-excess-deaths-by-states-all-causes-excluding-covid19-predicted/excess-death-excl-covid-predicted-total-estimate-florida
    Explore at:
    Dataset updated
    Sep 16, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2023 - Sep 16, 2023
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    United States Excess Death excl COVID: Predicted: Total Estimate: Florida data was reported at 20,737.000 Number in 16 Sep 2023. This stayed constant from the previous number of 20,737.000 Number for 09 Sep 2023. United States Excess Death excl COVID: Predicted: Total Estimate: Florida data is updated weekly, averaging 20,737.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 20,737.000 Number in 16 Sep 2023 and a record low of 20,737.000 Number in 16 Sep 2023. United States Excess Death excl COVID: Predicted: Total Estimate: Florida data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G012: Number of Excess Deaths: by States: All Causes excluding COVID-19: Predicted (Discontinued).

  11. COVID-19 deaths as a share of excess deaths in the U.S. in 2020, by age

    • statista.com
    Updated Feb 15, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2022). COVID-19 deaths as a share of excess deaths in the U.S. in 2020, by age [Dataset]. https://www.statista.com/statistics/1259048/covid-deaths-as-share-of-excess-deaths-in-the-us-by-age-group/
    Explore at:
    Dataset updated
    Feb 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United States
    Description

    In 2020, COVID-19 deaths accounted for a majority of all excess deaths in the U.S. across all age groups. This share increased with age, so that COVID-19 deaths attributed to more than two-thirds of excess deaths among those 75 years and older. This statistic illustrates COVID-19 deaths as share of excess deaths in the U.S. in 2020, by age group.

  12. Excess mortality in England and English regions: March 2020 to December 2023...

    • gov.uk
    Updated Feb 20, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Office for Health Improvement and Disparities (2024). Excess mortality in England and English regions: March 2020 to December 2023 [Dataset]. https://www.gov.uk/government/statistics/excess-mortality-in-england-and-english-regions
    Explore at:
    Dataset updated
    Feb 20, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for Health Improvement and Disparities
    Area covered
    England
    Description

    This analysis is no longer being updated. This is because the methodology and data for baseline measurements is no longer applicable.

    From February 2024, excess mortality reporting is available at: Excess mortality in England.

    Measuring excess mortality: a guide to the main reports details the different analysis available and how and when they should be used for the UK and England.

    The data in these reports is from 20 March 2020 to 29 December 2023. The first 2 reports on this page provide an estimate of excess mortality during and after the COVID-19 pandemic in:

    • England
    • English regions

    ‘Excess mortality’ in these analyses is defined as the number of deaths that are above the estimated number expected. The expected number of deaths is modelled using 5 years of data from preceding years to estimate the number of death registrations expected in each week.

    In both reports, excess deaths are broken down by age, sex, upper tier local authority, ethnic group, level of deprivation, cause of death and place of death. The England report also includes a breakdown by region.

    For previous reports, see:

    If you have any comments, questions or feedback, contact us at pha-ohid@dhsc.gov.uk.

    Other excess mortality analyses

    We also publish a set of bespoke analyses using the same excess mortality methodology and data but cut in ways that are not included in the England and English regions reports on this page.

  13. Data_Sheet_1_Sex disparities of the effect of the COVID-19 pandemic on...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 18, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Huan Deng; Yishan Liu; Fan Lv; Xiaofeng Li; Mingyan Qi; Yajing Bo; Sikai Qiu; Xinyuan He; Fanpu Ji; Qing-Lei Zeng; Ning Gao (2024). Data_Sheet_1_Sex disparities of the effect of the COVID-19 pandemic on mortality among patients living with tuberculosis in the United States.docx [Dataset]. http://doi.org/10.3389/fpubh.2024.1413604.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 18, 2024
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Huan Deng; Yishan Liu; Fan Lv; Xiaofeng Li; Mingyan Qi; Yajing Bo; Sikai Qiu; Xinyuan He; Fanpu Ji; Qing-Lei Zeng; Ning Gao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundWe aimed to determine the trend of TB-related deaths during the COVID-19 pandemic.MethodsTB-related mortality data of decedents aged ≥25 years from 2006 to 2021 were analyzed. Excess deaths were estimated by determining the difference between observed and projected mortality rates during the pandemic.ResultsA total of 18,628 TB-related deaths were documented from 2006 to 2021. TB-related age-standardized mortality rates (ASMRs) were 0.51 in 2020 and 0.52 in 2021, corresponding to an excess mortality of 10.22 and 9.19%, respectively. Female patients with TB demonstrated a higher relative increase in mortality (26.33 vs. 2.17% in 2020; 21.48 vs. 3.23% in 2021) when compared to male. Female aged 45–64 years old showed a surge in mortality, with an annual percent change (APC) of −2.2% pre-pandemic to 22.8% (95% CI: −1.7 to 68.7%) during the pandemic, corresponding to excess mortalities of 62.165 and 99.16% in 2020 and 2021, respectively; these excess mortality rates were higher than those observed in the overall female population ages 45–64 years in 2020 (17.53%) and 2021 (33.79%).ConclusionThe steady decline in TB-related mortality in the United States has been reversed by COVID-19. Female with TB were disproportionately affected by the pandemic.

  14. Covid19 Global Excess Deaths (daily updates)

    • kaggle.com
    zip
    Updated Dec 2, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Joakim Arvidsson (2025). Covid19 Global Excess Deaths (daily updates) [Dataset]. https://www.kaggle.com/datasets/joebeachcapital/covid19-global-excess-deaths-daily-updates
    Explore at:
    zip(2989004967 bytes)Available download formats
    Dataset updated
    Dec 2, 2025
    Authors
    Joakim Arvidsson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Daily updates of Covid-19 Global Excess Deaths from the Economist's GitHub repository: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model

    Interpreting estimates

    Estimating excess deaths for every country every day since the pandemic began is a complex and difficult task. Rather than being overly confident in a single number, limited data means that we can often only give a very very wide range of plausible values. Focusing on central estimates in such cases would be misleading: unless ranges are very narrow, the 95% range should be reported when possible. The ranges assume that the conditions for bootstrap confidence intervals are met. Please see our tracker page and methodology for more information.

    New variants

    The Omicron variant, first detected in southern Africa in November 2021, appears to have characteristics that are different to earlier versions of sars-cov-2. Where this variant is now dominant, this change makes estimates uncertain beyond the ranges indicated. Other new variants may do the same. As more data is incorporated from places where new variants are dominant, predictions improve.

    Non-reporting countries

    Turkmenistan and the Democratic People's Republic of Korea have not reported any covid-19 figures since the start of the pandemic. They also have not published all-cause mortality data. Exports of estimates for the Democratic People's Republic of Korea have been temporarily disabled as it now issues contradictory data: reporting a significant outbreak through its state media, but zero confirmed covid-19 cases/deaths to the WHO.

    Acknowledgements

    A special thanks to all our sources and to those who have made the data to create these estimates available. We list all our sources in our methodology. Within script 1, the source for each variable is also given as the data is loaded, with the exception of our sources for excess deaths data, which we detail in on our free-to-read excess deaths tracker as well as on GitHub. The gradient booster implementation used to fit the models is aGTBoost, detailed here.

    Calculating excess deaths for the entire world over multiple years is both complex and imprecise. We welcome any suggestions on how to improve the model, be it data, algorithm, or logic. If you have one, please open an issue.

    The Economist would also like to acknowledge the many people who have helped us refine the model so far, be it through discussions, facilitating data access, or offering coding assistance. A special thanks to Ariel Karlinsky, Philip Schellekens, Oliver Watson, Lukas Appelhans, Berent Å. S. Lunde, Gideon Wakefield, Johannes Hunger, Carol D'Souza, Yun Wei, Mehran Hosseini, Samantha Dolan, Mollie Van Gordon, Rahul Arora, Austin Teda Atmaja, Dirk Eddelbuettel and Tom Wenseleers.

    All coding and data collection to construct these models (and make them update dynamically) was done by Sondre Ulvund Solstad. Should you have any questions about them after reading the methodology, please open an issue or contact him at sondresolstad@economist.com.

    Suggested citation The Economist and Solstad, S. (corresponding author), 2021. The pandemic’s true death toll. [online] The Economist. Available at: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates [Accessed ---]. First published in the article "Counting the dead", The Economist, issue 20, 2021.

  15. Covid-19 Data - Excess Death Increase 2020

    • kaggle.com
    zip
    Updated Jan 6, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    SnowyOwl (2021). Covid-19 Data - Excess Death Increase 2020 [Dataset]. https://www.kaggle.com/kyleberdy/covid19-data-excess-death-increase-2020
    Explore at:
    zip(435002 bytes)Available download formats
    Dataset updated
    Jan 6, 2021
    Authors
    SnowyOwl
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Description

    Content

    This data represents excess deaths in an area (more deaths than expected). Although causes are recorded, one can see that excess deaths increased dramatically in 2020.

    Acknowledgements

    Original Source: https://catalog.data.gov/dataset/excess-deaths-associated-with-covid-19-35b8c

    Inspiration

    Using the Excess Death counts, make predictions, per day, as to what the hospital case load, and death load, for covid cases will be. Can use any source (local, federal, international) as the benchmark.

  16. Preliminary 2024-2025 U.S. COVID-19 Burden Estimates

    • data.cdc.gov
    • data.virginia.gov
    • +1more
    csv, xlsx, xml
    Updated Sep 26, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Coronavirus and Other Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD). (2025). Preliminary 2024-2025 U.S. COVID-19 Burden Estimates [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Preliminary-2024-2025-U-S-COVID-19-Burden-Estimate/ahrf-yqdt
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Sep 26, 2025
    Dataset provided by
    National Center for Immunization and Respiratory Diseases
    Authors
    Coronavirus and Other Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD).
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    This dataset represents preliminary estimates of cumulative U.S. COVID-19 disease burden for the 2024-2025 period, including illnesses, outpatient visits, hospitalizations, and deaths. The weekly COVID-19-associated burden estimates are preliminary and based on continuously collected surveillance data from patients hospitalized with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. The data come from the Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET), a surveillance platform that captures data from hospitals that serve about 10% of the U.S. population. Each week CDC estimates a range (i.e., lower estimate and an upper estimate) of COVID-19 -associated burden that have occurred since October 1, 2024.

    Note: Data are preliminary and subject to change as more data become available. Rates for recent COVID-19-associated hospital admissions are subject to reporting delays; as new data are received each week, previous rates are updated accordingly.

    References

    1. Reed C, Chaves SS, Daily Kirley P, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PLoS One. 2015;10(3):e0118369. https://doi.org/10.1371/journal.pone.0118369 
    2. Rolfes, MA, Foppa, IM, Garg, S, et al. Annual estimates of the burden of seasonal influenza in the United States: A tool for strengthening influenza surveillance and preparedness. Influenza Other Respi Viruses. 2018; 12: 132– 137. https://doi.org/10.1111/irv.12486
    3. Tokars JI, Rolfes MA, Foppa IM, Reed C. An evaluation and update of methods for estimating the number of influenza cases averted by vaccination in the United States. Vaccine. 2018;36(48):7331-7337. doi:10.1016/j.vaccine.2018.10.026 
    4. Collier SA, Deng L, Adam EA, Benedict KM, Beshearse EM, Blackstock AJ, Bruce BB, Derado G, Edens C, Fullerton KE, Gargano JW, Geissler AL, Hall AJ, Havelaar AH, Hill VR, Hoekstra RM, Reddy SC, Scallan E, Stokes EK, Yoder JS, Beach MJ. Estimate of Burden and Direct Healthcare Cost of Infectious Waterborne Disease in the United States. Emerg Infect Dis. 2021 Jan;27(1):140-149. doi: 10.3201/eid2701.190676. PMID: 33350905; PMCID: PMC7774540.
    5. Reed C, Kim IK, Singleton JA,  et al. Estimated influenza illnesses and hospitalizations averted by vaccination–United States, 2013-14 influenza season. MMWR Morb Mortal Wkly Rep. 2014 Dec 12;63(49):1151-4. https://www.cdc.gov/mmwr/preview/mmwrhtml/mm6349a2.htm 
    6. Reed C, Angulo FJ, Swerdlow DL, et al. Estimates of the Prevalence of Pandemic (H1N1) 2009, United States, April–July 2009. Emerg Infect Dis. 2009;15(12):2004-2007. https://dx.doi.org/10.3201/eid1512.091413
    7. Devine O, Pham H, Gunnels B, et al. Extrapolating Sentinel Surveillance Information to Estimate National COVID-19 Hospital Admission Rates: A Bayesian Modeling Approach. Influenza and Other Respiratory Viruses. https://onlinelibrary.wiley.com/doi/10.1111/irv.70026. Volume18, Issue10. October 2024.
    8. https://www.cdc.gov/covid/php/covid-net/index.html">COVID-NET | COVID-19 | CDC 
    9. https://www.cdc.gov/covid/hcp/clinical-care/systematic-review-process.html 
    10. https://academic.oup.com/pnasnexus/article/1/3/pgac079/6604394?login=false">Excess natural-cause deaths in California by cause and setting: March 2020 through February 2021 | PNAS Nexus | Oxford Academic (oup.com)
    11. Kruschke, J. K. 2011. Doing Bayesian data analysis: a tutorial with R and BUGS. Elsevier, Amsterdam, Section 3.3.5.

  17. U

    United States Excess Death excl COVID: Predicted: Single Estimate: Maine

    • ceicdata.com
    Updated Sep 16, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2023). United States Excess Death excl COVID: Predicted: Single Estimate: Maine [Dataset]. https://www.ceicdata.com/en/united-states/number-of-excess-deaths-by-states-all-causes-excluding-covid19-predicted/excess-death-excl-covid-predicted-single-estimate-maine
    Explore at:
    Dataset updated
    Sep 16, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2023 - Sep 16, 2023
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    United States Excess Death excl COVID: Predicted: Single Estimate: Maine data was reported at 0.000 Number in 16 Sep 2023. This stayed constant from the previous number of 0.000 Number for 09 Sep 2023. United States Excess Death excl COVID: Predicted: Single Estimate: Maine data is updated weekly, averaging 0.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 54.000 Number in 06 Nov 2021 and a record low of 0.000 Number in 16 Sep 2023. United States Excess Death excl COVID: Predicted: Single Estimate: Maine data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G012: Number of Excess Deaths: by States: All Causes excluding COVID-19: Predicted (Discontinued).

  18. Weekly all-cause mortality surveillance: 2023 to 2024

    • gov.uk
    Updated Jul 18, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    UK Health Security Agency (2024). Weekly all-cause mortality surveillance: 2023 to 2024 [Dataset]. https://www.gov.uk/government/statistics/weekly-all-cause-mortality-surveillance-2023-to-2024
    Explore at:
    Dataset updated
    Jul 18, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Description

    The UK Health Security Agency (UKHSA) weekly all-cause mortality surveillance helps to detect and report significant weekly excess mortality (deaths) above normal seasonal levels. This report doesn’t assess general trends in death rates or link excess death figures to particular factors.

    Excess mortality is defined as a significant number of deaths reported over that expected for a given week in the year, allowing for weekly variation in the number of deaths. UKHSA investigates any spikes seen which may inform public health actions.

    Reports are currently published weekly. In previous years, reports ran from October to September. From 2021 to 2022, reports will run from mid-July to mid-July each year. This change is to align with the reports for the national flu and COVID-19 weekly surveillance report.

    This page includes reports published from 13 July 2023 to the present.

    Reports are also available for:

    Please direct any enquiries to enquiries@ukhsa.gov.uk

    Our statistical practice is regulated by the Office for Statistics Regulation (OSR). The OSR sets the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk">Code of Practice for Statistics that all producers of Official Statistics should adhere to.

  19. U

    United States Excess Death excl COVID: Predicted: Single Excess Est:...

    • ceicdata.com
    Updated Sep 16, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2023). United States Excess Death excl COVID: Predicted: Single Excess Est: Massachusetts [Dataset]. https://www.ceicdata.com/en/united-states/number-of-excess-deaths-by-states-all-causes-excluding-covid19-predicted/excess-death-excl-covid-predicted-single-excess-est-massachusetts
    Explore at:
    Dataset updated
    Sep 16, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2023 - Sep 16, 2023
    Area covered
    United States
    Variables measured
    Vital Statistics
    Description

    United States Excess Death excl COVID: Predicted: Single Excess Est: Massachusetts data was reported at 0.000 Number in 16 Sep 2023. This stayed constant from the previous number of 0.000 Number for 09 Sep 2023. United States Excess Death excl COVID: Predicted: Single Excess Est: Massachusetts data is updated weekly, averaging 0.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 209.000 Number in 13 Jan 2018 and a record low of 0.000 Number in 16 Sep 2023. United States Excess Death excl COVID: Predicted: Single Excess Est: Massachusetts data remains active status in CEIC and is reported by Centers for Disease Control and Prevention. The data is categorized under Global Database’s United States – Table US.G012: Number of Excess Deaths: by States: All Causes excluding COVID-19: Predicted (Discontinued).

  20. Annual estimates of excess mortality in the United States (deaths from all...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Patrick Heuveline (2023). Annual estimates of excess mortality in the United States (deaths from all causes, deaths involving Covid-19 and all other deaths), 2017 to 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0283153.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Patrick Heuveline
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Annual estimates of excess mortality in the United States (deaths from all causes, deaths involving Covid-19 and all other deaths), 2017 to 2021.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista, COVID-19-related excess mortality rates in select countries in 2020, by age [Dataset]. https://www.statista.com/statistics/1259019/covid-related-excess-mortality-rate-in-the-us-and-select-countries-by-age/
Organization logo

COVID-19-related excess mortality rates in select countries in 2020, by age

Explore at:
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2020
Area covered
Worldwide
Description

In 2020, the U.S. had the highest COVID-19 pandemic-related excess mortality rate among non-elderly people compared to other peer countries. “Excess deaths” represent the number of deaths beyond what is expected in a typical year. This measure illustrates the mortality directly or indirectly associated with the COVID-19 pandemic. This statistic presents the COVID-19 pandemic-related excess mortality rate in the U.S. and select countries in 2020, by age group (per 100,000 people in age group).

Search
Clear search
Close search
Google apps
Main menu