87 datasets found
  1. Patient profile of COVID-19 cases Japan 2022, by age group

    • statista.com
    Updated Jan 9, 2024
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    Statista (2024). Patient profile of COVID-19 cases Japan 2022, by age group [Dataset]. https://www.statista.com/statistics/1105162/japan-patients-detail-novel-coronavirus-covid-19-cases-by-age-and-gender/
    Explore at:
    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 8, 2022
    Area covered
    Japan
    Description

    The distribution of coronavirus disease (COVID-19) cases in Japan as of March 16, 2022, showed that the highest number of patients were aged 20 to 29 years old, with a total of over one million cases. The highest number of deaths could be seen among the patients aged 80 years and older at about 15.5 thousand cases.

     Shortage of intensive care beds 

    With over 1,200 hospital beds per 100,000 inhabitants available in the country, Japan is one of the best-equipped OECD nations regarding the medical sector. However, after the COVID-19 outbreak, country has faced a shortage of hospital beds, especially those required for intensive care. ICU beds only constitute a small share of the overall number of hospital beds in the country compared to European countries like Switzerland and Germany. To combat this problem, the Japanese government implemented financial incentives for hospitals upon acquisition of new intensive care beds. Another factor playing a significant part in the shortage of hospital beds is the comparably high average length of hospital stays, since some bedridden seniors are in long-term care in hospitals, as opposed to being cared for in nursing homes or at home.

    Challenges for private hospitals Japan’s over eight thousand hospitals were opened by doctors, leading to the majority of the institutions being privately owned. As many of them are specialized and dependent on outpatient surgeries, COVID-19 patients pose new difficulties, as treating them in a converted ward would hinder day-to-day operations. Acquisition of intensive care beds involves financial and logistical challenges, which smaller private institutions have difficulty meeting, as they are not funded by tax revenues.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figure page.

  2. COVID-19 patients and number of death Japan 2022, by prefecture

    • statista.com
    Updated Jan 9, 2024
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    Statista (2024). COVID-19 patients and number of death Japan 2022, by prefecture [Dataset]. https://www.statista.com/statistics/1100113/japan-coronavirus-patients-by-prefecture/
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    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 17, 2022
    Area covered
    Japan
    Description

    As of March 17, 2022, the highest number of approximately 1.2 million patients with coronavirus (COVID-19) were confirmed in Tokyo Prefecture in Japan, followed by Osaka Prefecture with about 747.9 thousand people. On that day, all prefectures out of 47 reported new infection cases.

     Tokyo and Kanagawa  The first coronavirus case in Japan was confirmed on January 16, 2020, in Kanagawa prefecture. Part of the Greater Tokyo Area, Kanagawa is the country’s second-most populous prefecture with more than nine million inhabitants. A few days after the first case in Kanagawa, Japan’s second case was reported in Tokyo. Kanagawa and Tokyo, along with Osaka, and four other prefectures, were the first to be placed under a state of emergency by then prime minister Shinzo Abe in April 2020. From the outbreak of COVID-19 until March 2022, the state of emergency was announced four times for Tokyo and three times for Kanagawa Prefecture.

     Osaka Osaka prefecture reported its first case of COVID-19 on January 29, 2020. The prefecture is the center of Japan’s second-most populated urban region, the Keihanshin metropolitan area, which includes Kyoto and Hyogo prefectures. The virus continued to spread in Osaka with the acceleration of new infection cases per day recorded in January, April to May, July to September in 2021, and January and onwards in 2022.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figure page. 

  3. T

    Japan Coronavirus COVID-19 Deaths

    • tradingeconomics.com
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, Japan Coronavirus COVID-19 Deaths [Dataset]. https://tradingeconomics.com/japan/coronavirus-deaths
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 16, 2020 - Jul 14, 2022
    Area covered
    Japan
    Description

    Japan recorded 31547 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Japan reported 33803572 Coronavirus Cases. This dataset includes a chart with historical data for Japan Coronavirus Deaths.

  4. Total confirmed cases of COVID-19 Japan 2022

    • statista.com
    Updated Jan 9, 2024
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    Statista (2024). Total confirmed cases of COVID-19 Japan 2022 [Dataset]. https://www.statista.com/statistics/1096478/japan-confirmed-cases-of-coronavirus-by-state-of-health/
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    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 16, 2022
    Area covered
    Japan
    Description

    As of March 16, 2022, there was a total of approximately 5.9 million confirmed cases of coronavirus disease (COVID-19) in Japan, with around 529 thousand people needing inpatient treatment.

    Development of cases in Japan Generally, the increase of new COVID-19 cases recorded from January to March 2020 in Japan followed a slower trajectory as compared to, for example, China, Europe, or the United States of America. The first reported case of COVID-19 in Japan was confirmed on January 16, 2020, when a man that had returned from Wuhan city, China, was tested positive. The first transmission within Japan was recorded on January 28. The number of new cases then increased tenfold in February. April saw a further acceleration of the infection rate. Consequently, the Japanese government declared a nationwide state of emergency that month. The government announced a state of emergency for the second time in January 2021, the third time in April 2021, and the forth time in the July 2021.

    Vaccine rollout The Japanese government started the distribution of COVID-19 vaccination in February 2021, mainly for medical professionals. The administration of vaccination for general citizens commenced in April for senior citizens. The vaccine rate of the population was just over 74.7 percent for second doses as of March 2022.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figure page. 

  5. J

    Japan New Covid cases per month, March, 2023 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    + more versions
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    Globalen LLC, Japan New Covid cases per month, March, 2023 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Japan/covid_new_cases/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Feb 29, 2020 - Mar 31, 2023
    Area covered
    Japan
    Description

    New Covid cases per month in Japan, March, 2023 The most recent value is 236356 new Covid cases as of March 2023, a decline compared to the previous value of 672183 new Covid cases. Historically, the average for Japan from February 2020 to March 2023 is 880038 new Covid cases. The minimum of 218 new Covid cases was recorded in February 2020, while the maximum of 6218994 new Covid cases was reached in August 2022. | TheGlobalEconomy.com

  6. J

    Japan Total Covid cases, end of month, March, 2023 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Mar 15, 2023
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    Globalen LLC (2023). Japan Total Covid cases, end of month, March, 2023 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Japan/covid_total_cases/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    Mar 15, 2023
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Feb 29, 2020 - Mar 31, 2023
    Area covered
    Japan
    Description

    Total Covid cases, end of month in Japan, March, 2023 The most recent value is 33400000 total Covid cases as of March 2023, an increase compared to the previous value of 33200000 total Covid cases. Historically, the average for Japan from February 2020 to March 2023 is 7415636 total Covid cases. The minimum of 230 total Covid cases was recorded in February 2020, while the maximum of 33400000 total Covid cases was reached in March 2023. | TheGlobalEconomy.com

  7. Proportion of coronavirus cases per 100,000 inhabitants Japan 2020, by age...

    • statista.com
    Updated Apr 30, 2020
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    Statista (2020). Proportion of coronavirus cases per 100,000 inhabitants Japan 2020, by age and gender [Dataset]. https://www.statista.com/statistics/1113460/japan-coronavirus-patients-proportion-per-100000-by-age-and-gender/
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    Dataset updated
    Apr 30, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 17, 2020
    Area covered
    Japan
    Description

    As of April 17, 2020, the highest proportion of coronavirus disease (COVID-19) cases per Japanese inhabitants was reported for women aged 20 to 29, with approximately 13 cases per 100 thousand inhabitants of this age group and gender. The highest ratio for male patients was for the age group between 50 to 59 years, also 13 cases per 100 thousand inhabitants of this age group and gender.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figure page.

  8. d

    Japan COVID-19 Case Data with Basemap (STC)

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    NSF Spatiotemporal Innovation Center (2023). Japan COVID-19 Case Data with Basemap (STC) [Dataset]. http://doi.org/10.7910/DVN/24EXUH
    Explore at:
    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    NSF Spatiotemporal Innovation Center
    Area covered
    Japan
    Description

    Case data from 01-15-2020 to 08-16-2020, this data repository stores COVID-19 virus case data for Japan, including the daily case, summary data, and base map. Each zip file contains weekly case data from Monday to Sunday.

  9. Proportion of coronavirus cases per 100,000 inhabitants in Japan 2020, by...

    • statista.com
    Updated Sep 15, 2020
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    Statista (2020). Proportion of coronavirus cases per 100,000 inhabitants in Japan 2020, by prefecture [Dataset]. https://www.statista.com/statistics/1113309/japan-number-coronavirus-patients-per-100000-inhabitants-by-prefecture/
    Explore at:
    Dataset updated
    Sep 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 17, 2020
    Area covered
    Japan
    Description

    As of April 17, 2020, Tokyo Prefecture recorded the highest density of people infected with the coronavirus (COVID-19) among all 47 prefectures in Japan, with approximately 20.1 infected people per 100 thousand inhabitants in the prefecture. Ishikawa Prefecture recorded the second highest density, with around 14.1 people per 100 thousand inhabitants in the prefecture being infected with the virus. There was an average of around 7.8 infected people per 100 thousand inhabitants in Japan during the measured time period.

    In terms of the total number of infection cases, Tokyo and Osaka Prefecture were the two prefectures with the highest number of patients of COVID-19 as of April 2020.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figure page.

  10. Latest Coronavirus COVID-19 figures for Japan

    • covid19-today.pages.dev
    json
    Updated Jul 30, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for Japan [Dataset]. https://covid19-today.pages.dev/countries/japan/
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    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Japan
    Description

    In past 24 hours, Japan, Asia had N/A new cases, N/A deaths and N/A recoveries.

  11. f

    Table_1_HLA-A*11:01:01:01, HLA-C*12:02:02:01-HLA-B*52:01:02:02, Age and Sex...

    • frontiersin.figshare.com
    xlsx
    Updated May 30, 2023
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    Seik-Soon Khor; Yosuke Omae; Nao Nishida; Masaya Sugiyama; Noriko Kinoshita; Tetsuya Suzuki; Michiyo Suzuki; Satoshi Suzuki; Shinyu Izumi; Masayuki Hojo; Norio Ohmagari; Masashi Mizokami; Katsushi Tokunaga (2023). Table_1_HLA-A*11:01:01:01, HLA-C*12:02:02:01-HLA-B*52:01:02:02, Age and Sex Are Associated With Severity of Japanese COVID-19 With Respiratory Failure.xlsx [Dataset]. http://doi.org/10.3389/fimmu.2021.658570.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Seik-Soon Khor; Yosuke Omae; Nao Nishida; Masaya Sugiyama; Noriko Kinoshita; Tetsuya Suzuki; Michiyo Suzuki; Satoshi Suzuki; Shinyu Izumi; Masayuki Hojo; Norio Ohmagari; Masashi Mizokami; Katsushi Tokunaga
    License

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

    Description

    Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus causing coronavirus disease 2019 (COVID-19) was announced as an outbreak by the World Health Organization (WHO) in January 2020 and as a pandemic in March 2020. The majority of infected individuals have experienced no or only mild symptoms, ranging from fully asymptomatic cases to mild pneumonic disease. However, a minority of infected individuals develop severe respiratory symptoms. The objective of this study was to identify susceptible HLA alleles and clinical markers that can be used in risk prediction model for the early identification of severe COVID-19 among hospitalized COVID-19 patients. A total of 137 patients with mild COVID-19 (mCOVID-19) and 53 patients with severe COVID-19 (sCOVID-19) were recruited from the Center Hospital of the National Center for Global Health and Medicine (NCGM), Tokyo, Japan for the period of February–August 2020. High-resolution sequencing-based typing for eight HLA genes was performed using next-generation sequencing. In the HLA association studies, HLA-A*11:01:01:01 [Pc = 0.013, OR = 2.26 (1.27–3.91)] and HLA-C*12:02:02:01-HLA-B*52:01:01:02 [Pc = 0.020, OR = 2.25 (1.24–3.92)] were found to be significantly associated with the severity of COVID-19. After multivariate analysis controlling for other confounding factors and comorbidities, HLA-A*11:01:01:01 [P = 3.34E-03, OR = 3.41 (1.50–7.73)], age at diagnosis [P = 1.29E-02, OR = 1.04 (1.01–1.07)] and sex at birth [P = 8.88E-03, OR = 2.92 (1.31–6.54)] remained significant. The area under the curve of the risk prediction model utilizing HLA-A*11:01:01:01, age at diagnosis, and sex at birth was 0.772, with sensitivity of 0.715 and specificity of 0.717. To the best of our knowledge, this is the first article that describes associations of HLA alleles with COVID-19 at the 4-field (highest) resolution level. Early identification of potential sCOVID-19 could help clinicians prioritize medical utility and significantly decrease mortality from COVID-19.

  12. Share of coronavirus (COVID-19) cases in Japan 2020, by age and gender

    • statista.com
    Updated Apr 29, 2020
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    Statista (2020). Share of coronavirus (COVID-19) cases in Japan 2020, by age and gender [Dataset]. https://www.statista.com/statistics/1113396/japan-share-coronavirus-patients-by-age-gender/
    Explore at:
    Dataset updated
    Apr 29, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 17, 2020
    Area covered
    Japan
    Description

    As of April 17 in 2020, the highest number of coronavirus disease (COVID-19) patients in Japan was recorded among women aged 20 to 29 years old, at a share of approximately 20 percent. The biggest difference between gender could be seen in this age group as well as among patients aged 40 to 49 years old.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figure page.

  13. M

    Project Tycho Dataset; Counts of COVID-19 Reported In JAPAN: 2019-2021

    • catalog.midasnetwork.us
    • tycho.pitt.edu
    csv, zip
    Updated Sep 1, 2025
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    MIDAS Coordination Center (2025). Project Tycho Dataset; Counts of COVID-19 Reported In JAPAN: 2019-2021 [Dataset]. http://doi.org/10.25337/T7/ptycho.v2.0/JP.840539006
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    MIDAS Coordination Center
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Time period covered
    Dec 30, 2019 - Jul 31, 2021
    Area covered
    Country
    Variables measured
    Viruses, disease, COVID-19, pathogen, mortality data, Population count, infectious disease, viral Infectious disease, vaccine-preventable Disease, viral respiratory tract infection, and 1 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    This Project Tycho dataset includes a CSV file with COVID-19 data reported in JAPAN: 2019-12-30 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

  14. New confirmed cases of COVID-19 by day Japan 2022

    • statista.com
    Updated Jan 9, 2024
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    Statista (2024). New confirmed cases of COVID-19 by day Japan 2022 [Dataset]. https://www.statista.com/statistics/1105032/japan-new-confirmed-cases-of-coronavirus-by-day/
    Explore at:
    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 16, 2020 - Mar 16, 2022
    Area covered
    Japan
    Description

    On March 16, 2021, approximately 57.8 thousand coronavirus disease (COVID-19) were newly confirmed in Japan. New cases have been reported every day since February 11, 2020.

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figure page.

  15. Coronavirus (Covid-19) Data of United States (USA)

    • kaggle.com
    zip
    Updated Nov 5, 2020
    + more versions
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    Joel Hanson (2020). Coronavirus (Covid-19) Data of United States (USA) [Dataset]. https://www.kaggle.com/joelhanson/coronavirus-covid19-data-in-the-united-states
    Explore at:
    zip(7506633 bytes)Available download formats
    Dataset updated
    Nov 5, 2020
    Authors
    Joel Hanson
    License

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

    Area covered
    United States
    Description

    Coronavirus (COVID-19) Data in the United States

    [ U.S. State-Level Data (Raw CSV) | U.S. County-Level Data (Raw CSV) ]

    The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

    Since late January, The Times has tracked cases of coronavirus in real-time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

    We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists, and government officials who would like access to the data to better understand the outbreak.

    The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

    United States Data

    Data on cumulative coronavirus cases and deaths can be found in two files for states and counties.

    Each row of data reports cumulative counts based on our best reporting up to the moment we publish an update. We do our best to revise earlier entries in the data when we receive new information.

    Both files contain FIPS codes, a standard geographic identifier, to make it easier for an analyst to combine this data with other data sets like a map file or population data.

    Download all the data or clone this repository by clicking the green "Clone or download" button above.

    State-Level Data

    State-level data can be found in the states.csv file. (Raw CSV file here.)

    date,state,fips,cases,deaths
    2020-01-21,Washington,53,1,0
    ...
    

    County-Level Data

    County-level data can be found in the counties.csv file. (Raw CSV file here.)

    date,county,state,fips,cases,deaths
    2020-01-21,Snohomish,Washington,53061,1,0
    ...
    

    In some cases, the geographies where cases are reported do not map to standard county boundaries. See the list of geographic exceptions for more detail on these.

    Methodology and Definitions

    The data is the product of dozens of journalists working across several time zones to monitor news conferences, analyze data releases and seek clarification from public officials on how they categorize cases.

    It is also a response to a fragmented American public health system in which overwhelmed public servants at the state, county and territorial levels have sometimes struggled to report information accurately, consistently and speedily. On several occasions, officials have corrected information hours or days after first reporting it. At times, cases have disappeared from a local government database, or officials have moved a patient first identified in one state or county to another, often with no explanation. In those instances, which have become more common as the number of cases has grown, our team has made every effort to update the data to reflect the most current, accurate information while ensuring that every known case is counted.

    When the information is available, we count patients where they are being treated, not necessarily where they live.

    In most instances, the process of recording cases has been straightforward. But because of the patchwork of reporting methods for this data across more than 50 state and territorial governments and hundreds of local health departments, our journalists sometimes had to make difficult interpretations about how to count and record cases.

    For those reasons, our data will in some cases not exactly match the information reported by states and counties. Those differences include these cases: When the federal government arranged flights to the United States for Americans exposed to the coronavirus in China and Japan, our team recorded those cases in the states where the patients subsequently were treated, even though local health departments generally did not. When a resident of Florida died in Los Angeles, we recorded her death as having occurred in California rather than Florida, though officials in Florida counted her case in their records. And when officials in some states reported new cases without immediately identifying where the patients were being treated, we attempted to add information about their locations later, once it became available.

    • Confirmed Cases

    Confirmed cases are patients who test positive for the coronavirus. We consider a case confirmed when it is reported by a federal, state, territorial or local government agency.

    • Dates

    For each date, we show the cumulative number of confirmed cases and deaths as reported that day in that county or state. All cases and deaths are counted on the date they are first announced.

    • Counties

    In some instances, we report data from multiple counties or other non-county geographies as a single county. For instance, we report a single value for New York City, comprising the cases for New York, Kings, Queens, Bronx and Richmond Counties. In these instances, the FIPS code field will be empty. (We may assign FIPS codes to these geographies in the future.) See the list of geographic exceptions.

    Cities like St. Louis and Baltimore that are administered separately from an adjacent county of the same name are counted separately.

    • “Unknown” Counties

    Many state health departments choose to report cases separately when the patient’s county of residence is unknown or pending determination. In these instances, we record the county name as “Unknown.” As more information about these cases becomes available, the cumulative number of cases in “Unknown” counties may fluctuate.

    Sometimes, cases are first reported in one county and then moved to another county. As a result, the cumulative number of cases may change for a given county.

    Geographic Exceptions

    • New York City

    All cases for the five boroughs of New York City (New York, Kings, Queens, Bronx and Richmond counties) are assigned to a single area called New York City.

    • Kansas City, Mo.

    Four counties (Cass, Clay, Jackson, and Platte) overlap the municipality of Kansas City, Mo. The cases and deaths that we show for these four counties are only for the portions exclusive of Kansas City. Cases and deaths for Kansas City are reported as their line.

    • Alameda, Calif.

    Counts for Alameda County include cases and deaths from Berkeley and the Grand Princess cruise ship.

    • Chicago

    All cases and deaths for Chicago are reported as part of Cook County.

    License and Attribution

    In general, we are making this data publicly available for broad, noncommercial public use including by medical and public health researchers, policymakers, analysts and local news media.

    If you use this data, you must attribute it to “The New York Times” in any publication. If you would like a more expanded description of the data, you could say “Data from The New York Times, based on reports from state and local health agencies.”

    If you use it in an online presentation, we would appreciate it if you would link to our U.S. tracking page at https://www.nytimes.com/interactive/2020/us/coronavirus-us-cases.html.

    If you use this data, please let us know at covid-data@nytimes.com and indicate if you would be willing to talk to a reporter about your research.

    See our LICENSE for the full terms of use for this data.

    This license is co-extensive with the Creative Commons Attribution-NonCommercial 4.0 International license, and licensees should refer to that license (CC BY-NC) if they have questions about the scope of the license.

    Contact Us

    If you have questions about the data or licensing conditions, please contact us at:

    covid-data@nytimes.com

    Contributors

    Mitch Smith, Karen Yourish, Sarah Almukhtar, Keith Collins, Danielle Ivory, and Amy Harmon have been leading our U.S. data collection efforts.

    Data has also been compiled by Jordan Allen, Jeff Arnold, Aliza Aufrichtig, Mike Baker, Robin Berjon, Matthew Bloch, Nicholas Bogel-Burroughs, Maddie Burakoff, Christopher Calabrese, Andrew Chavez, Robert Chiarito, Carmen Cincotti, Alastair Coote, Matt Craig, John Eligon, Tiff Fehr, Andrew Fischer, Matt Furber, Rich Harris, Lauryn Higgins, Jake Holland, Will Houp, Jon Huang, Danya Issawi, Jacob LaGesse, Hugh Mandeville, Patricia Mazzei, Allison McCann, Jesse McKinley, Miles McKinley, Sarah Mervosh, Andrea Michelson, Blacki Migliozzi, Steven Moity, Richard A. Oppel Jr., Jugal K. Patel, Nina Pavlich, Azi Paybarah, Sean Plambeck, Carrie Price, Scott Reinhard, Thomas Rivas, Michael Robles, Alison Saldanha, Alex Schwartz, Libby Seline, Shelly Seroussi, Rachel Shorey, Anjali Singhvi, Charlie Smart, Ben Smithgall, Steven Speicher, Michael Strickland, Albert Sun, Thu Trinh, Tracey Tully, Maura Turcotte, Miles Watkins, Jeremy White, Josh Williams, and Jin Wu.

    Context

    There's a story behind every dataset and here's your opportunity to share yours.# Coronavirus (Covid-19) Data in the United States

    [ U.S. State-Level Data ([Raw

  16. f

    Number of searches for long-COVID using the Yahoo! JAPAN search engine, by...

    • plos.figshare.com
    xls
    Updated Nov 15, 2023
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    Kosuke Ishizuka; Taiju Miyagami; Tomoya Tsuchida; Mizue Saita; Yoshiyuki Ohira; Toshio Naito (2023). Number of searches for long-COVID using the Yahoo! JAPAN search engine, by gender and age in the years 2020, 2021, and 2022. [Dataset]. http://doi.org/10.1371/journal.pone.0294261.t001
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    xlsAvailable download formats
    Dataset updated
    Nov 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kosuke Ishizuka; Taiju Miyagami; Tomoya Tsuchida; Mizue Saita; Yoshiyuki Ohira; Toshio Naito
    License

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

    Description

    Number of searches for long-COVID using the Yahoo! JAPAN search engine, by gender and age in the years 2020, 2021, and 2022.

  17. New confirmed cases of COVID-19 by day in Tokyo, Japan 2022

    • statista.com
    Updated Jan 9, 2024
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    Statista (2024). New confirmed cases of COVID-19 by day in Tokyo, Japan 2022 [Dataset]. https://www.statista.com/statistics/1108521/japan-new-confirmed-cases-of-coronavirus-by-day-tokyo/
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    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 14, 2020 - Mar 15, 2022
    Area covered
    Japan
    Description

    On March 15, 2022, 2,578 cases of coronavirus disease (COVID-19) were confirmed in Tokyo Prefecture. The number peaked at around 16.9 thousand on January 31, 2022. Following the accelerated development of cases in the prefecture, the Tokyo prefectural government rose the alert status of the infection level to the highest out of four levels.

    Government measures Since the outbreak of the disease in the nation in January 2020, the Japanese government has announced the state of emergency four times for respective prefectures. Tokyo Prefecture was one of the prefectures that were under the state of emergency all four times. To ease the strain on medical facilities, Tokyo prefectural government added about 1,000 beds for COVID-19 patients in private facilities such as sports centers. As of March 2022, over 7,200 beds were designated for patients with the disease in the prefecture.

    Tokyo Olympics and Paralympics As a direct impact of COVID-19, the Tokyo 2020 Summer Olympic and Paralympic Games were postponed to 2021. Consequently, the games took place from July to September 2021, one year after the original plan. The games were held without any overseas audience, and initially anticipated economic growth from inbound tourism in the nation did not materialize. 

    For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figure page.

  18. The LOS of COVID-19 cases (day).

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 6, 2023
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    Jung-ho Shin; Daisuke Takada; Tetsuji Morishita; Hueiru Lin; Seiko Bun; Emi Teraoka; Takuya Okuno; Hisashi Itoshima; Hiroyuki Nagano; Kenji Kishimoto; Hiromi Segawa; Yuka Asami; Takuya Higuchi; Kenta Minato; Susumu Kunisawa; Yuichi Imanaka (2023). The LOS of COVID-19 cases (day). [Dataset]. http://doi.org/10.1371/journal.pone.0244852.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jung-ho Shin; Daisuke Takada; Tetsuji Morishita; Hueiru Lin; Seiko Bun; Emi Teraoka; Takuya Okuno; Hisashi Itoshima; Hiroyuki Nagano; Kenji Kishimoto; Hiromi Segawa; Yuka Asami; Takuya Higuchi; Kenta Minato; Susumu Kunisawa; Yuichi Imanaka
    License

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

    Description

    The LOS of COVID-19 cases (day).

  19. J

    Japan MHLW: COVID-19: PCR: Confirmed

    • ceicdata.com
    + more versions
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    CEICdata.com, Japan MHLW: COVID-19: PCR: Confirmed [Dataset]. https://www.ceicdata.com/en/japan/ministry-of-health-labour-and-welfare-coronavirus-disease-2019-covid2019/mhlw-covid19-pcr-confirmed
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    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
    Apr 27, 2023 - May 8, 2023
    Area covered
    Japan
    Description

    Japan MHLW: COVID-19: PCR: Confirmed data was reported at 33,826,903.000 Person in 08 May 2023. This records an increase from the previous number of 33,817,576.000 Person for 07 May 2023. Japan MHLW: COVID-19: PCR: Confirmed data is updated daily, averaging 1,687,422.000 Person from Feb 2020 (Median) to 08 May 2023, with 1183 observations. The data reached an all-time high of 33,826,903.000 Person in 08 May 2023 and a record low of 25.000 Person in 07 Feb 2020. Japan MHLW: COVID-19: PCR: Confirmed data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under High Frequency Database’s Disease Outbreaks – Table JP.D001: Ministry of Health, Labour and Welfare: Coronavirus Disease 2019 (COVID-2019) (Discontinued). Discrepancies on some timepoints are due to the inclusion of unspecified positive cases.

  20. f

    Additional file 5 of Explanation of hand, foot, and mouth disease cases in...

    • springernature.figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated Jun 5, 2023
    + more versions
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    Qian Niu; Junyu Liu; Zixi Zhao; Miyu Onishi; Asuka Kawaguchi; Anuradhi Bandara; Keiko Harada; Tomoki Aoyama; Momoko Nagai-Tanima (2023). Additional file 5 of Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study [Dataset]. http://doi.org/10.6084/m9.figshare.21435467.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    figshare
    Authors
    Qian Niu; Junyu Liu; Zixi Zhao; Miyu Onishi; Asuka Kawaguchi; Anuradhi Bandara; Keiko Harada; Tomoki Aoyama; Momoko Nagai-Tanima
    License

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

    Area covered
    Japan
    Description

    Additional file 5. Raw data.

Share
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Statista (2024). Patient profile of COVID-19 cases Japan 2022, by age group [Dataset]. https://www.statista.com/statistics/1105162/japan-patients-detail-novel-coronavirus-covid-19-cases-by-age-and-gender/
Organization logo

Patient profile of COVID-19 cases Japan 2022, by age group

Explore at:
9 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 9, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 8, 2022
Area covered
Japan
Description

The distribution of coronavirus disease (COVID-19) cases in Japan as of March 16, 2022, showed that the highest number of patients were aged 20 to 29 years old, with a total of over one million cases. The highest number of deaths could be seen among the patients aged 80 years and older at about 15.5 thousand cases.

 Shortage of intensive care beds 

With over 1,200 hospital beds per 100,000 inhabitants available in the country, Japan is one of the best-equipped OECD nations regarding the medical sector. However, after the COVID-19 outbreak, country has faced a shortage of hospital beds, especially those required for intensive care. ICU beds only constitute a small share of the overall number of hospital beds in the country compared to European countries like Switzerland and Germany. To combat this problem, the Japanese government implemented financial incentives for hospitals upon acquisition of new intensive care beds. Another factor playing a significant part in the shortage of hospital beds is the comparably high average length of hospital stays, since some bedridden seniors are in long-term care in hospitals, as opposed to being cared for in nursing homes or at home.

Challenges for private hospitals Japan’s over eight thousand hospitals were opened by doctors, leading to the majority of the institutions being privately owned. As many of them are specialized and dependent on outpatient surgeries, COVID-19 patients pose new difficulties, as treating them in a converted ward would hinder day-to-day operations. Acquisition of intensive care beds involves financial and logistical challenges, which smaller private institutions have difficulty meeting, as they are not funded by tax revenues.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated facts and figure page.

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