100+ datasets found
  1. Rate of excess deaths due to COVID-19 pandemic in select countries worldwide...

    • statista.com
    Updated May 5, 2022
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    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/
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    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.

  2. Cumulative excess deaths due to COVID-19 pandemic worldwide 2020-21, by...

    • statista.com
    Updated May 10, 2022
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    Statista (2022). Cumulative excess deaths due to COVID-19 pandemic worldwide 2020-21, by month [Dataset]. https://www.statista.com/statistics/1306935/cumulative-number-excess-deaths-covid-pandemic-worldwide-by-month/
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    Dataset updated
    May 10, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    It is estimated that by the end of 2021 the COVID-19 pandemic had caused around 14.9 million excess deaths worldwide. This statistic shows the cumulative mean number of excess deaths associated with the COVID-19 pandemic worldwide in 2020-2021, by month.

  3. Number of excess deaths due to COVID-19 pandemic worldwide 2020-21, by month...

    • statista.com
    Updated May 9, 2022
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    Statista (2022). Number of excess deaths due to COVID-19 pandemic worldwide 2020-21, by month [Dataset]. https://www.statista.com/statistics/1306932/number-excess-deaths-covid-pandemic-worldwide-by-month/
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    Dataset updated
    May 9, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    It is estimated that in December 2020, there were around 995,085 excess deaths associated with the COVID-19 pandemic from all causes. Cumulatively, it was estimated that there was a mean of around 14.9 million excess deaths due to the pandemic as of the end of 2021. This statistic shows the mean number of excess deaths associated with the COVID-19 pandemic from all-causes worldwide in 2020-2021, by month.

  4. Weekly number of excess deaths in England and Wales 2020-2025

    • statista.com
    Updated Sep 11, 2025
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    Statista (2025). Weekly number of excess deaths in England and Wales 2020-2025 [Dataset]. https://www.statista.com/statistics/1131428/excess-deaths-in-england-and-wales/
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    Dataset updated
    Sep 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Aug 2025
    Area covered
    Wales, England
    Description

    For the week ending August 29, 2025, weekly deaths in England and Wales were 985 below the number expected, compared with 855 below what was expected in the previous week. In late 2022 and through early 2023, excess deaths were elevated for a number of weeks, with the excess deaths figure for the week ending January 13, 2023, the highest since February 2021. In the middle of April 2020, at the height of the COVID-19 pandemic, there were almost 12,000 excess deaths a week recorded in England and Wales. It was not until two months later, in the week ending June 19, 2020, that the number of deaths began to be lower than the five-year average for the corresponding week. Most deaths since 1918 in 2020 In 2020, there were 689,629 deaths in the United Kingdom, making that year the deadliest since 1918, at the height of the Spanish influenza pandemic. As seen in the excess death figures, April 2020 was by far the worst month in terms of deaths during the pandemic. The weekly number of deaths for weeks 16 and 17 of that year were 22,351, and 21,997 respectively. Although the number of deaths fell to more usual levels for the rest of that year, a winter wave of the disease led to a high number of deaths in January 2021, with 18,676 deaths recorded in the fourth week of that year. For the whole of 2021, there were 667,479 deaths in the UK, 22,150 fewer than in 2020. Life expectancy in the UK goes into reverse In 2022, life expectancy at birth for women in the UK was 82.6 years, while for men it was 78.6 years. This was the lowest life expectancy in the country for ten years, and came after life expectancy improvements stalled throughout the 2010s, and then declined from 2020 onwards. There is also quite a significant regional difference in life expectancy in the UK. In the London borough of Kensington and Chelsea, for example, the life expectancy for men was 81.5 years, and 86.5 years for women. By contrast, in Blackpool, in North West England, male life expectancy was just 73.1 years, while for women, life expectancy was lowest in Glasgow, at 78 years.

  5. U

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

    • ceicdata.com
    Updated Sep 16, 2023
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    CEICdata.com (2023). United States Excess Death excl COVID: Predicted: Single Estimate: Wyoming [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-wyoming
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    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: Wyoming 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: Wyoming data is updated weekly, averaging 2.000 Number from Jan 2017 (Median) to 16 Sep 2023, with 350 observations. The data reached an all-time high of 51.000 Number in 04 Jan 2020 and a record low of 0.000 Number in 16 Sep 2023. United States Excess Death excl COVID: Predicted: Single Estimate: 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).

  6. Ivermectin for COVID-19 in Peru: 14-fold reduction in nationwide excess...

    • zenodo.org
    • data.niaid.nih.gov
    • +2more
    bin, csv, pdf
    Updated Jul 19, 2024
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    David Scheim; David Scheim; Juan Chamie; Juan Chamie (2024). Ivermectin for COVID-19 in Peru: 14-fold reduction in nationwide excess deaths, p<0.002 for effect by state, then 13-fold increase after ivermectin use restricted [Dataset]. http://doi.org/10.5061/dryad.dv41ns1xr
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    csv, pdf, binAvailable download formats
    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    David Scheim; David Scheim; Juan Chamie; Juan Chamie
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Peru
    Description

    Objective. We aimed to identify mortality trends associated with COVID-19 deaths in Peru during April through November 2020, when mass treatments with ivermectin (IVM), a drug of Nobel Prize-honored distinction, were autonomously deployed at different times and to different extents in Peru's 25 states under a national policy that authorized these treatments.

    Design. Ecological study of publicly available data. Excess deaths were analyzed state by state. To identify potential confounding factors, Google mobility data, population densities, SARS-CoV-2 genetic variations, seropositivity rates and other auxiliary data were also examined.

    Primary outcome. Reductions in excess deaths, state by state, as compared with extent and time period of IVM treatments.

    Participants. The study population was restricted to ages ≥ 60 to eliminate confounding effects of changing age distributions of COVID-19 incidence.

    Results. The 25 states of Peru were grouped by extent of IVM distributions: maximal (mass IVM distributions through operation MOT, a broadside effort led by the army); medium (locally managed IVM distributions); and minimal (restrictive policies in one state, Lima). The mean reduction in excess deaths 30 days after peak deaths was 74% for the maximal IVM distribution group, 53% for the medium group and 25% for Lima. Reduction of excess deaths correlated with extent of IVM distribution by state with p<0.002 using the Kendall τbtest. Nationwide, excess deaths decreased 14-fold over four months through December 1, 2020, after which deaths then increased 13-fold when IVM use was restricted under a new president.

    Conclusion. Mass treatments with IVM, a drug safely used in 3.7 billion doses worldwide since 1987, most likely caused these reductions in deaths during the time periods in which it was deployed. The indicated biological mechanism of IVM, competitive binding with SARS-CoV-2 spike protein, is likely non-epitope specific, possibly yielding full efficacy against emerging viral mutant strains.

  7. Data_Sheet_1_Excess Mortality in Italy During the COVID-19 Pandemic:...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    pdf
    Updated May 30, 2023
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    Maria Dorrucci; Giada Minelli; Stefano Boros; Valerio Manno; Sabrina Prati; Marco Battaglini; Gianni Corsetti; Xanthi Andrianou; Flavia Riccardo; Massimo Fabiani; Maria Fenicia Vescio; Matteo Spuri; Alberto Mateo Urdiales; Del Manso Martina; Graziano Onder; Patrizio Pezzotti; Antonino Bella (2023). Data_Sheet_1_Excess Mortality in Italy During the COVID-19 Pandemic: Assessing the Differences Between the First and the Second Wave, Year 2020.PDF [Dataset]. http://doi.org/10.3389/fpubh.2021.669209.s001
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Maria Dorrucci; Giada Minelli; Stefano Boros; Valerio Manno; Sabrina Prati; Marco Battaglini; Gianni Corsetti; Xanthi Andrianou; Flavia Riccardo; Massimo Fabiani; Maria Fenicia Vescio; Matteo Spuri; Alberto Mateo Urdiales; Del Manso Martina; Graziano Onder; Patrizio Pezzotti; Antonino Bella
    License

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

    Area covered
    Italy
    Description

    COVID-19 dramatically influenced mortality worldwide, in Italy as well, the first European country to experience the Sars-Cov2 epidemic. Many countries reported a two-wave pattern of COVID-19 deaths; however, studies comparing the two waves are limited. The objective of the study was to compare all-cause excess mortality between the two waves that occurred during the year 2020 using nationwide data. All-cause excess mortalities were estimated using negative binomial models with time modeled by quadratic splines. The models were also applied to estimate all-cause excess deaths “not directly attributable to COVD-19”, i.e., without a previous COVID-19 diagnosis. During the first wave (25th February−31st May), we estimated 52,437 excess deaths (95% CI: 49,213–55,863) and 50,979 (95% CI: 50,333–51,425) during the second phase (10th October−31st December), corresponding to percentage 34.8% (95% CI: 33.8%–35.8%) in the second wave and 31.0% (95%CI: 27.2%–35.4%) in the first. During both waves, all-cause excess deaths percentages were higher in northern regions (59.1% during the first and 42.2% in the second wave), with a significant increase in the rest of Italy (from 6.7% to 27.1%) during the second wave. Males and those aged 80 or over were the most hit groups with an increase in both during the second wave. Excess deaths not directly attributable to COVID-19 decreased during the second phase with respect to the first phase, from 10.8% (95% CI: 9.5%–12.4%) to 7.7% (95% CI: 7.5%–7.9%), respectively. The percentage increase in excess deaths from all causes suggests in Italy a different impact of the SARS-CoV-2 virus during the second wave in 2020. The decrease in excess deaths not directly attributable to COVID-19 may indicate an improvement in the preparedness of the Italian health care services during this second wave, in the detection of COVID-19 diagnoses and/or clinical practice toward the other severe diseases.

  8. U

    United States Excess Death excl COVID: Predicted: Single Estimate: New York...

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States Excess Death excl COVID: Predicted: Single Estimate: New York City [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-new-york-city
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    Dataset updated
    Nov 27, 2021
    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: New York City data was reported at 0.000 Number in 16 Sep 2023. This records a decrease from the previous number of 21.000 Number for 09 Sep 2023. United States Excess Death excl COVID: Predicted: Single Estimate: New York City 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 1,936.000 Number in 11 Apr 2020 and a record low of 0.000 Number in 16 Sep 2023. United States Excess Death excl COVID: Predicted: Single Estimate: New York City 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).

  9. U

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

    • ceicdata.com
    Updated Sep 16, 2023
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    CEICdata.com (2023). United States Excess Death excl COVID: Predicted: Single Excess Est: Maryland [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-maryland
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    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: Maryland 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: Maryland 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 154.000 Number in 25 Apr 2020 and a record low of 0.000 Number in 16 Sep 2023. United States Excess Death excl COVID: Predicted: Single Excess Est: Maryland 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).

  10. Number of excess deaths due to COVID-19 pandemic worldwide 2020, by age and...

    • statista.com
    Updated May 9, 2022
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    Statista (2022). Number of excess deaths due to COVID-19 pandemic worldwide 2020, by age and gender [Dataset]. https://www.statista.com/statistics/1306956/number-excess-deaths-covid-pandemic-by-age-and-gender-worldwide/
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    Dataset updated
    May 9, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    It is estimated that in 2020 the COVID-19 pandemic caused around 762,927 excess deaths among females worldwide aged 80 years and older. This statistic shows the mean number of excess deaths associated with the COVID-19 pandemic from all-causes worldwide in 2020, by age and gender.

  11. Mortality rate (%) based on COVID-19 tests and demographics for March 2020...

    • plos.figshare.com
    xls
    Updated Jun 11, 2023
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    Noori Akhtar-Danesh; Andrea Baumann; Mary Crea-Arsenio; Valentina Antonipillai (2023). Mortality rate (%) based on COVID-19 tests and demographics for March 2020 to December 2020. [Dataset]. http://doi.org/10.1371/journal.pone.0262807.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Noori Akhtar-Danesh; Andrea Baumann; Mary Crea-Arsenio; Valentina Antonipillai
    License

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

    Description

    Mortality rate (%) based on COVID-19 tests and demographics for March 2020 to December 2020.

  12. Distribution, n (%), of COVID-19 tests based on demographics from March 2020...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Noori Akhtar-Danesh; Andrea Baumann; Mary Crea-Arsenio; Valentina Antonipillai (2023). Distribution, n (%), of COVID-19 tests based on demographics from March 2020 to December 2020. [Dataset]. http://doi.org/10.1371/journal.pone.0262807.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Noori Akhtar-Danesh; Andrea Baumann; Mary Crea-Arsenio; Valentina Antonipillai
    License

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

    Description

    Distribution, n (%), of COVID-19 tests based on demographics from March 2020 to December 2020.

  13. U

    United States Excess Death excl COVID: Predicted: Single Estimate: New...

    • ceicdata.com
    Updated Sep 16, 2023
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    CEICdata.com (2023). United States Excess Death excl COVID: Predicted: Single Estimate: New Jersey [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-new-jersey
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    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: New Jersey 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: New Jersey 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 924.000 Number in 11 Apr 2020 and a record low of 0.000 Number in 16 Sep 2023. United States Excess Death excl COVID: Predicted: Single Estimate: New Jersey 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).

  14. H

    COVID-19: US federal accountability for entry, spread, and...

    • dataverse.harvard.edu
    Updated Feb 17, 2021
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    W.P. Hanage; Testa, C.,; J.T. Chen; Letitia Davis; Elise Pechter; Peg Seminario; Mauricio Santillana; Nancy Krieger (2021). COVID-19: US federal accountability for entry, spread, and inequities—lessons for the future [Dataset]. http://doi.org/10.7910/DVN/JFKNEO
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 17, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    W.P. Hanage; Testa, C.,; J.T. Chen; Letitia Davis; Elise Pechter; Peg Seminario; Mauricio Santillana; Nancy Krieger
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    The United States (US) has been among those nations most severely affected by the first—and subsequent—phases of the pandemic of COVID-19, the disease caused by SARS-CoV-2. With only 4% of the worldwide population, the US has seen about 22% of COVID-19 deaths. Despite formidable advantages in resources and expertise, presently the per capita mortality rate is over 585/million, respectively 2.4 and 5 times higher compared to Canada and Germany. As we enter Fall 2020, the US is enduring ongoing outbreaks across large regions of the country. Moreover, within the US, an early and persistent feature of the pandemic has been the disproportionate impact on populations already made vulnerable by racism and dangerous jobs, inadequate wages, and unaffordable housing, and this is true for both the headline public health threat and the additional disastrous economic impacts. In this article we assess the impact of missteps by the Federal Government in three specific areas: the introduction of the virus to the US and the establishment of community transmission; the lack of national COVID-19 workplace standards and enforcement, and lack of personal protective equipment (PPE) for workplaces as represented by complaints to the Occupational Safety and Health Administration (OSHA) which we find are correlated with deaths 16 days later (ρ = 0.83); and the total excess deaths in 2020 to date already total more than 230,000, while COVID-19 mortality rates exhibit severe—and rising—inequities in race/ethnicity, including among working age adults.

  15. U

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

    • ceicdata.com
    Updated Sep 16, 2023
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    CEICdata.com (2023). United States Excess Death excl COVID: Predicted: Single Excess Est: Rhode Island [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-rhode-island
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    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: Rhode Island 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: Rhode Island 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 43.000 Number in 09 May 2020 and a record low of 0.000 Number in 16 Sep 2023. United States Excess Death excl COVID: Predicted: Single Excess Est: Rhode Island 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).

  16. Incidence of coronavirus (COVID-19) deaths in Europe 2023, by country

    • statista.com
    Updated Jan 16, 2023
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    Statista (2023). Incidence of coronavirus (COVID-19) deaths in Europe 2023, by country [Dataset]. https://www.statista.com/statistics/1111779/coronavirus-death-rate-europe-by-country/
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    Dataset updated
    Jan 16, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 13, 2023
    Area covered
    Europe
    Description

    As of January 13, 2023, Bulgaria had the highest rate of COVID-19 deaths among its population in Europe at 548.6 deaths per 100,000 population. Hungary had recorded 496.4 deaths from COVID-19 per 100,000. Furthermore, Russia had the highest number of confirmed COVID-19 deaths in Europe, at over 394 thousand.

    Number of cases in Europe During the same period, across the whole of Europe, there have been over 270 million confirmed cases of COVID-19. France has been Europe's worst affected country with around 38.3 million cases, this translates to an incidence rate of approximately 58,945 cases per 100,000 population. Germany and Italy had approximately 37.6 million and 25.3 million cases respectively.

    Current situation In March 2023, the rate of cases in Austria over the last seven days was 224 per 100,000 which was the highest in Europe. Luxembourg and Slovenia both followed with seven day rates of infections at 122 and 108 respectively.

  17. U

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

    • ceicdata.com
    Updated Mar 10, 2021
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    CEICdata.com (2021). United States Excess Death excl COVID: Predicted: Single Excess Est: South Dakota [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-south-dakota
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    Dataset updated
    Mar 10, 2021
    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: South Dakota 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: South Dakota 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 42.000 Number in 07 Nov 2020 and a record low of 0.000 Number in 16 Sep 2023. United States Excess Death excl COVID: Predicted: Single Excess Est: South Dakota 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. f

    Supplementary zip from Reports of deaths are an exaggeration: all-cause and...

    • rs.figshare.com
    zip
    Updated Aug 2, 2023
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    R. Rockenfeller; M. Günther; F. Mörl (2023). Supplementary zip from Reports of deaths are an exaggeration: all-cause and NAA-test-conditional mortality in Germany during the SARS-CoV-2 era [Dataset]. http://doi.org/10.6084/m9.figshare.23821060.v1
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    zipAvailable download formats
    Dataset updated
    Aug 2, 2023
    Dataset provided by
    The Royal Society
    Authors
    R. Rockenfeller; M. Günther; F. Mörl
    License

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

    Area covered
    Germany
    Description

    Counts of SARS-CoV-2-related deaths have been key numbers for justifying severe political, social and economical measures imposed by authorities world-wide. A particular focus thereby was the concomitant excess mortality (EM), i.e. fatalities above the expected all-cause mortality (AM). Recent studies, inter alia by the WHO, estimated the SARS-CoV-2-related EM in Germany between 2020 and 2021 as high as 200 000. In this study, we attempt to scrutinize these numbers by putting them into the context of German AM since the year 2000. We propose two straightforward, age-cohort-dependent models to estimate German AM for the ‘Corona pandemic’ years, as well as the corresponding flu seasons, out of historic data. For Germany, we find overall negative EM of about due to rather than with CoViD-19; an analysis not provided by the appropriate authority, the RKI. Through 2020 and 2021 combined, our due estimate is at no more than 59 500. Varying NAA test strategies heavily obscured SARS-CoV-2-related EM, particularly within the second year of the proclaimed pandemic. We compensated changes in test strategies by assuming that age-cohort-specific NAA-conditional mortality rates during the first pandemic year reflected a SARS-CoV-2-characteristic constants.

  19. Data_Sheet_1_Early effects of COVID-19 on maternal and child health service...

    • frontiersin.figshare.com
    bin
    Updated Jun 21, 2023
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    Orvalho Augusto; Timothy Roberton; Quinhas Fernandes; Sérgio Chicumbe; Ivan Manhiça; Stélio Tembe; Bradley H. Wagenaar; Laura Anselmi; Jon Wakefield; Kenneth Sherr (2023). Data_Sheet_1_Early effects of COVID-19 on maternal and child health service disruption in Mozambique.docx [Dataset]. http://doi.org/10.3389/fpubh.2023.1075691.s001
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    binAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Orvalho Augusto; Timothy Roberton; Quinhas Fernandes; Sérgio Chicumbe; Ivan Manhiça; Stélio Tembe; Bradley H. Wagenaar; Laura Anselmi; Jon Wakefield; Kenneth Sherr
    License

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

    Area covered
    Mozambique
    Description

    This article is part of the Research Topic ‘Health Systems Recovery in the Context of COVID-19 and Protracted Conflict'IntroductionAfter the World Health Organization declared COVID-19 a pandemic, more than 184 million cases and 4 million deaths had been recorded worldwide by July 2021. These are likely to be underestimates and do not distinguish between direct and indirect deaths resulting from disruptions in health care services. The purpose of our research was to assess the early impact of COVID-19 in 2020 and early 2021 on maternal and child healthcare service delivery at the district level in Mozambique using routine health information system data, and estimate associated excess maternal and child deaths.MethodsUsing data from Mozambique's routine health information system (SISMA, Sistema de Informação em Saúde para Monitoria e Avaliação), we conducted a time-series analysis to assess changes in nine selected indicators representing the continuum of maternal and child health care service provision in 159 districts in Mozambique. The dataset was extracted as counts of services provided from January 2017 to March 2021. Descriptive statistics were used for district comparisons, and district-specific time-series plots were produced. We used absolute differences or ratios for comparisons between observed data and modeled predictions as a measure of the magnitude of loss in service provision. Mortality estimates were performed using the Lives Saved Tool (LiST).ResultsAll maternal and child health care service indicators that we assessed demonstrated service delivery disruptions (below 10% of the expected counts), with the number of new users of family planing and malaria treatment with Coartem (number of children under five treated) experiencing the largest disruptions. Immediate losses were observed in April 2020 for all indicators, with the exception of treatment of malaria with Coartem. The number of excess deaths estimated in 2020 due to loss of health service delivery were 11,337 (12.8%) children under five, 5,705 (11.3%) neonates, and 387 (7.6%) mothers.ConclusionFindings from our study support existing research showing the negative impact of COVID-19 on maternal and child health services utilization in sub-Saharan Africa. This study offers subnational and granular estimates of service loss that can be useful for health system recovery planning. To our knowledge, it is the first study on the early impacts of COVID-19 on maternal and child health care service utilization conducted in an African Portuguese-speaking country.

  20. Number of deaths in China 2001-2024

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Number of deaths in China 2001-2024 [Dataset]. https://www.statista.com/statistics/1098319/china-number-of-deaths/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, the total number of deaths in China amounted to around ***** million. The number of deaths increased slightly but steadily over the past two decades, only disrupted by the coronavirus pandemic. This trend is mainly related to China’s demographic development and is expected to accelerate in the upcoming years. China’s aging society China had the second largest population on earth in 2024. However, population growth in China has gradually decreased over the last decades and finally turned negative in 2022. Together with steadily improving health standards and growing life expectancy, this has led to a quickly aging society. As relatively large age cohorts are now reaching the years of retirement, the number of elderly in the country is projected to increase quickly. This is especially visible in the number of people aged 80 years and above, which is expected to rise more than four-fold from ** million in 2020 to *** million in 2050. This development will probably be the main factor leading to a growing number of mortalities in China in the upcoming years. China’s mortality rate in comparison Globally, China’s mortality rate is at a low range at slightly less than eight deaths per thousand inhabitants annually. The low mortality rate was a result of political stability and steady improvements in the health system. As the Chinese population grows older, cancer, heart attacks, and cerebrovascular diseases are increasingly common causes of death. In comparison to most Western countries, the number of fatalities due to COVID-19 was low in 2020 and 2021, but there was a slight excess mortality in 2023 and. Most common infectious diseases with high death rates in China were *********************************** in 2021.

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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/
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Rate of excess deaths due to COVID-19 pandemic in select countries worldwide 2020-21

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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.

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