100+ datasets found
  1. Most common communicable diseases in South Korea 2024, by incidence

    • statista.com
    Updated Aug 15, 2025
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    Statista (2025). Most common communicable diseases in South Korea 2024, by incidence [Dataset]. https://www.statista.com/statistics/1404652/south-korea-main-infectious-diseases-by-incidence/
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    Dataset updated
    Aug 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    South Korea
    Description

    In 2024, around ****** cases of whooping cough or pertussis were reported in South Korea. Cases of whooping cough have been on the rise worldwide, with South Korea posing no exception.

  2. d

    Cause-of-death statistics in 2020 in the Republic of Korea

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Huh, Sun (2023). Cause-of-death statistics in 2020 in the Republic of Korea [Dataset]. http://doi.org/10.7910/DVN/TEKYDG
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Huh, Sun
    Area covered
    South Korea
    Description

    Abstract Background: This study analyzed the causes of death in the Korean population in 2020. Methods: Cause-of-death data for 2020 from Statistics Korea were examined based on the Korean Standard Classification of Diseases and Causes of Death, 7th revision and the International Statistical Classification of Diseases and Related Health Problems, 10th revision. Results: In total, 304,948 deaths occurred, reflecting an increase of 9,838 (3.3%) from 2019. The crude death rate (the number of deaths per 100,000 people) was 593.9, corresponding to an increase of 19.0 (3.3%) from 2019. The 10 leading causes of death, in descending order, were malignant neoplasms, heart diseases, pneumonia, cerebrovascular diseases, intentional self-harm, diabetes mellitus, Alzheimer’s disease, liver diseases, hypertensive diseases, and sepsis. Cancer accounted for 27.0% of deaths. Within the category of malignant neoplasms, the top 5 leading organs of involvement were the lung, liver, colon, stomach, and pancreas. Sepsis was included in the 10 leading causes of death for the first time. Mortality due to pneumonia decreased to 43.3 (per 100,000 people) from 45.1 in 2019. The number of deaths due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was 950, of which 54.5% were in people aged 80 or older. Conclusion: These changes reflect the continuing increase in deaths due to diseases of old age, including sepsis. The decrease in deaths due to pneumonia may have been due to protective measures against SARS-CoV-2. With the concomitant decrease in fertility, 2020 became the first year in which Korea’s natural total population decreased.

  3. T

    South Korea - Cause Of Death, By Non-communicable Diseases (% Of Total)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
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    TRADING ECONOMICS (2017). South Korea - Cause Of Death, By Non-communicable Diseases (% Of Total) [Dataset]. https://tradingeconomics.com/south-korea/cause-of-death-by-non-communicable-diseases-percent-of-total-wb-data.html
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    json, csv, excel, xmlAvailable download formats
    Dataset updated
    May 30, 2017
    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 1, 1976 - Dec 31, 2025
    Area covered
    South Korea
    Description

    Cause of death, by non-communicable diseases (% of total) in South Korea was reported at 77.91 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Korea - Cause of death, by non-communicable diseases (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  4. I

    Korea Disease Control and Prevention Agency

    • iatiregistry.org
    iati-xml
    Updated Aug 22, 2025
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    Republic of Korea (2025). Korea Disease Control and Prevention Agency [Dataset]. https://iatiregistry.org/dataset/odakorea-act170
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    iati-xml(38366)Available download formats
    Dataset updated
    Aug 22, 2025
    Dataset provided by
    Republic of Korea
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Korea Disease Control and Prevention Agency

  5. p

    Infectious Disease Physicians in South Korea - 1 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Aug 15, 2025
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    Poidata.io (2025). Infectious Disease Physicians in South Korea - 1 Verified Listings Database [Dataset]. https://www.poidata.io/report/infectious-disease-physician/south-korea
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    excel, json, csvAvailable download formats
    Dataset updated
    Aug 15, 2025
    Dataset provided by
    Poidata.io
    Area covered
    South Korea
    Description

    Comprehensive dataset of 1 Infectious disease physicians in South Korea as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  6. Food-borne disease outbreaks in South Korea 2013-2023

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Food-borne disease outbreaks in South Korea 2013-2023 [Dataset]. https://www.statista.com/statistics/783261/south-korea-food-borne-disease-outbreaks/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2023, there were *** outbreaks of food-borne diseases, up from *** in the preceding year. While numbers have fluctuated, there has been a general increase in outbreaks over the years. As the year 2020 marked the beginning of the coronavirus (COVID-19) pandemic, lockdowns, and restrictions on dining out, the number of food-borne disease outbreaks was much lower than in previous years.

  7. S

    South Korea KCDC: COVID-19: Patients: 0000H: Con: Others: Seoul

    • ceicdata.com
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    CEICdata.com, South Korea KCDC: COVID-19: Patients: 0000H: Con: Others: Seoul [Dataset]. https://www.ceicdata.com/de/korea/korea-centers-for-disease-control-and-prevention-coronavirus-disease-2019-covid2019
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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 10, 2021 - Apr 21, 2021
    Area covered
    South Korea
    Description

    KCDC: COVID-19: Patients: 0000H: Con: Others: Seoul data was reported at 9,694.000 Person in 21 Apr 2021. This records an increase from the previous number of 9,636.000 Person for 20 Apr 2021. KCDC: COVID-19: Patients: 0000H: Con: Others: Seoul data is updated daily, averaging 958.000 Person from Feb 2020 (Median) to 21 Apr 2021, with 423 observations. The data reached an all-time high of 9,694.000 Person in 21 Apr 2021 and a record low of 11.000 Person in 24 Feb 2020. KCDC: COVID-19: Patients: 0000H: Con: Others: Seoul data remains active status in CEIC and is reported by Korea Disease Control and Prevention Agency. The data is categorized under High Frequency Database’s Disease Outbreaks – Table KR.D001: Korea Centers for Disease Control and Prevention: Coronavirus Disease 2019 (COVID-2019) (Discontinued).

  8. Coronavirus-Dataset

    • kaggle.com
    Updated Mar 18, 2020
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    datartist (2020). Coronavirus-Dataset [Dataset]. https://www.kaggle.com/datasets/kimjihoo/coronavirusdataset-old/versions/1
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 18, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    datartist
    License

    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

    Description

    We have decided to leave the old version of Coronavirus-Dataset, because many kernels had been made based on it. Link to the new version of Coronavirus-Dataset

    Context

    COVID-19 has infected more than 7000 people in South Korea. KCDC (Korea Centers for Disease Control & Prevention) announces the information of COVID-19 quickly and transparently. We make a structured dataset based on the report materials of KCDC and local governments.

    Acknowledgements

    Thanks sincerely to all the members of KCDC and local governments. Source of data: KCDC (Korea Centers for Disease Control & Prevention)

  9. f

    Prevalence of extraintestinal manifestations in Korean inflammatory bowel...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated May 31, 2023
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    Bo Ram Yang; Nam-Kyong Choi; Mi-Sook Kim; Jaeyoung Chun; Sang Hyun Joo; Hyesung Kim; Joongyub Lee (2023). Prevalence of extraintestinal manifestations in Korean inflammatory bowel disease patients [Dataset]. http://doi.org/10.1371/journal.pone.0200363
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bo Ram Yang; Nam-Kyong Choi; Mi-Sook Kim; Jaeyoung Chun; Sang Hyun Joo; Hyesung Kim; Joongyub Lee
    License

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

    Description

    BackgroundThe prevalence of inflammatory bowel disease (IBD) in South Korea is increasing. Although extraintestinal manifestations (EIMs) are an important factor in the clinical outcomes of IBD patients, EIMs have not yet been investigated in Korea. Thus, we conducted a cross-sectional study to assess the prevalence of EIMs in Korean IBD patients.MethodsThe 2014 claims data from the National Health Insurance System (NHIS) of Korea were used. IBD patients were identified by codes for Crohn disease (CD) and ulcerative colitis (UC) in the NHIS registration system for rare or intractable diseases. International Classification of Diseases, Tenth Edition codes were used to identify EIM cases. To estimate the prevalence of EIMs in the general population of Korea, we used national sample data. Standardized prevalence ratios (SPRs) were calculated to compare the prevalence rates of EIMs among IBD patients to those among the general population of Korea.ResultsA total of 13,925 CD patients and 29,356 UC patients were identified. CD and UC patients were different in terms of demographics and utilization of medication. Among the 17 EIMs investigated, pyoderma gangrenosum, osteomalacia, Sweet syndrome, and scleritis were observed in very few patients. The SPRs were greater than 1 for all EIMs. Aphthous stomatitis, rheumatoid arthritis, and osteoporosis were highly prevalent in both CD and UC patients, but the SPRs of the EIMs were not high.ConclusionThe study confirmed that EIMs are more prevalent among IBD patients than among the general population of Korea. The prevalence of EIMs in IBD patients suggests the need for greater attention and effort in clinical practice.

  10. Total number of lyme disease cases in South Korea 2011-2019

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Total number of lyme disease cases in South Korea 2011-2019 [Dataset]. https://www.statista.com/statistics/1249864/south-korea-total-number-of-lyme-disease-cases/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2019, ** cases of lyme disease were reported in South Korea. While this is a low figure, it still represents a ***** percent increase compared to the *** reported cases in 2011. Lyme disease is a tick-borne disease with a large variety of symptoms, which can become chronic. In South Korea, it is classified as a Group IV infectious disease, and diagnosed cases must be reported to health authorities. Group IV infectious diseases are diseases which may be newly emerging in the country, or may have been contracted abroad and brought back.

  11. Forecast: Respiratory System Disease Mortality in South Korea 2024 - 2028

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Respiratory System Disease Mortality in South Korea 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/e71185ab50303033222b43b40a4f61860b61b137
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    Dataset updated
    Apr 8, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    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
    South Korea
    Description

    Forecast: Respiratory System Disease Mortality in South Korea 2024 - 2028 Discover more data with ReportLinker!

  12. S

    South Korea KCDC: COVID-19: Patients: 0000H: Con: QDH: Dae-gu

    • ceicdata.com
    + more versions
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    CEICdata.com, South Korea KCDC: COVID-19: Patients: 0000H: Con: QDH: Dae-gu [Dataset]. https://www.ceicdata.com/de/korea/korea-centers-for-disease-control-and-prevention-coronavirus-disease-2019-covid2019
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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
    Mar 7, 2020 - Mar 18, 2020
    Area covered
    South Korea
    Description

    KCDC: COVID-19: Patients: 0000H: Con: QDH: Dae-gu data was reported at 2.000 Person in 18 Mar 2020. This stayed constant from the previous number of 2.000 Person for 17 Mar 2020. KCDC: COVID-19: Patients: 0000H: Con: QDH: Dae-gu data is updated daily, averaging 2.000 Person from Feb 2020 (Median) to 18 Mar 2020, with 24 observations. The data reached an all-time high of 2.000 Person in 18 Mar 2020 and a record low of 0.000 Person in 24 Feb 2020. KCDC: COVID-19: Patients: 0000H: Con: QDH: Dae-gu data remains active status in CEIC and is reported by Korea Disease Control and Prevention Agency. The data is categorized under High Frequency Database’s Disease Outbreaks – Table KR.D001: Korea Centers for Disease Control and Prevention: Coronavirus Disease 2019 (COVID-2019) (Discontinued).

  13. f

    Table1_Decreased incidence of Kawasaki disease in South Korea during the...

    • frontiersin.figshare.com
    • figshare.com
    docx
    Updated Apr 3, 2024
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    Kyung Jin Oh; Sang-Yun Lee (2024). Table1_Decreased incidence of Kawasaki disease in South Korea during the SARS-CoV-2 pandemic.docx [Dataset]. http://doi.org/10.3389/fped.2024.1307931.s001
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    docxAvailable download formats
    Dataset updated
    Apr 3, 2024
    Dataset provided by
    Frontiers
    Authors
    Kyung Jin Oh; Sang-Yun Lee
    License

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

    Area covered
    South Korea
    Description

    PurposeAnalyzing Kawasaki disease epidemiology during the SARS-CoV-2 pandemic in South Korea using 2012–2020 National Health Insurance Service data.MethodsThe incidence of Kawasaki disease for 2012–2020 was investigated to identify changes in incidence after the start of the pandemic. National Health Insurance Service data from the Republic of Korea were used. Kawasaki disease was defined based on the International Statistical Classification of Diseases and Related Health Problems, the Tenth Revision diagnostic code (M30.3), and the intravenous immunoglobulin prescription code. Prescription history was collected for the following medications: intravenous immunoglobulin, aspirin, corticosteroids, tumor necrosis factor-α antagonist, clopidogrel, and anticoagulation drugs.ResultsThe Kawasaki disease incidence per 100,000 individuals younger than 5 years was 238.9, 230.0, and 141.2 in 2018, 2019, and 2020, respectively. Regarding the incidence from 2012 to 2020, it was the highest in 2018 and decreased to 141.2 (p 

  14. MERS South Korea dataset

    • figshare.com
    xlsx
    Updated Jan 19, 2016
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    Bev Paterson (2016). MERS South Korea dataset [Dataset]. http://doi.org/10.6084/m9.figshare.1447162.v1
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    xlsxAvailable download formats
    Dataset updated
    Jan 19, 2016
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Bev Paterson
    License

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

    Area covered
    South Korea
    Description

    MERS South Korea data set - compiled from multiple sources

  15. f

    Table_1_The impact of the COVID-19 pandemic on chlamydia infection in South...

    • frontiersin.figshare.com
    docx
    Updated Jun 2, 2023
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    Achangwa Chiara; Sukhyun Ryu; Jae-Heon Jung; Se-Min Hwang (2023). Table_1_The impact of the COVID-19 pandemic on chlamydia infection in South Korea: a comparison between the pre-pandemic and during-pandemic periods.docx [Dataset]. http://doi.org/10.3389/fpubh.2023.1167321.s002
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    docxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Frontiers
    Authors
    Achangwa Chiara; Sukhyun Ryu; Jae-Heon Jung; Se-Min Hwang
    License

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

    Area covered
    South Korea
    Description

    BackgroundPrior to COVID-19 pandemic, a yearly upward trajectory in the number of chlamydia infection cases was observed in South Korea. However, in response to the COVID-19 pandemic, Korea implemented several public health and social measures, which were shown to have an impact on the epidemiology of other infectious diseases. This study aimed to estimate the impact of the COVID-19 pandemic on the incidence and number of reported chlamydia infections in South Korea.MethodsUsing the monthly number of reported chlamydia infection data between 2017 and 2022, we compared the trends in the reported numbers, and the incidence rates (IR) of chlamydia infection stratified by demographic characteristics (sex, age group, and region) in the pre- and during COVID-19 pandemic period (January 2017–December 2019 and January 2020–December 2022).ResultsWe observed an irregular downward trajectory in the number of chlamydia infection in the during-pandemic period. A 30% decrease in the total number of chlamydia infection was estimated in the during-pandemic compared to the pre-pandemic period, with the decrease greater among males (35%) than females (25%). In addition, there was a decrease in the cumulative incidence rate of the during COVID-19 pandemic period (IR: 0.43; 95% CI: 0.42–0.44) compared to the pre-pandemic period (IR: 0.60; 95% CI: 0.59–0.61).ConclusionsWe identified decrease in the number of chlamydia infection during COVID-19 pandemic which is likely due to underdiagnosis and underreporting for the infection. Therefore, strengthening surveillance for sexually transmitted infections including chlamydia is warranted for an effective and timely response in case of an unexpected rebound in the number of the infections.

  16. Food-borne disease patients in South Korea 2023, by place

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Food-borne disease patients in South Korea 2023, by place [Dataset]. https://www.statista.com/statistics/783466/south-korea-food-borne-disease-patients-by-place/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    South Korea
    Description

    In 2023, around ***** people suffered from the food-borne diseases contracted from food service business. In total, about ***** fell ill from food-borne diseases this year. As the year 2020 marked the beginning of the coronavirus (COVID-19) pandemic, lockdowns, and restrictions on dining out, the number of food-borne disease outbreaks and patients was much lower than in previous years. The number of food-borne disease outbreaks and patients saw a sharp increase in 2021.

  17. T

    North Korea - Cause Of Death, By Non-communicable Diseases (% Of Total)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 23, 2017
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    TRADING ECONOMICS (2017). North Korea - Cause Of Death, By Non-communicable Diseases (% Of Total) [Dataset]. https://tradingeconomics.com/north-korea/cause-of-death-by-non-communicable-diseases-percent-of-total-wb-data.html
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jun 23, 2017
    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 1, 1976 - Dec 31, 2025
    Area covered
    North Korea
    Description

    Cause of death, by non-communicable diseases (% of total) in North Korea was reported at 80.4 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. North Korea - Cause of death, by non-communicable diseases (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  18. T

    North Korea - Cause Of Death, By Communicable Diseases And Maternal,...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 2, 2017
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    TRADING ECONOMICS (2017). North Korea - Cause Of Death, By Communicable Diseases And Maternal, Prenatal And Nutrition Conditions (% Of Total) [Dataset]. https://tradingeconomics.com/north-korea/cause-of-death-by-communicable-diseases-and-maternal-prenatal-and-nutrition-conditions-percent-of-total-wb-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 2, 2017
    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 1, 1976 - Dec 31, 2025
    Area covered
    North Korea
    Description

    Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total) in North Korea was reported at 12.79 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. North Korea - Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

  19. S

    South Korea KCDC: COVID-19: Patients: 0000H: Con: SDC: Jeju

    • ceicdata.com
    + more versions
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    CEICdata.com, South Korea KCDC: COVID-19: Patients: 0000H: Con: SDC: Jeju [Dataset]. https://www.ceicdata.com/en/korea/korea-centers-for-disease-control-and-prevention-coronavirus-disease-2019-covid2019/kcdc-covid19-patients-0000h-con-sdc-jeju
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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 10, 2021 - Apr 21, 2021
    Area covered
    South Korea
    Description

    South Korea KCDC: COVID-19: Patients: 0000H: Con: SDC: Jeju data was reported at 0.000 Person in 21 Apr 2021. This stayed constant from the previous number of 0.000 Person for 20 Apr 2021. South Korea KCDC: COVID-19: Patients: 0000H: Con: SDC: Jeju data is updated daily, averaging 0.000 Person from Feb 2020 (Median) to 21 Apr 2021, with 423 observations. The data reached an all-time high of 0.000 Person in 21 Apr 2021 and a record low of 0.000 Person in 21 Apr 2021. South Korea KCDC: COVID-19: Patients: 0000H: Con: SDC: Jeju data remains active status in CEIC and is reported by Korea Disease Control and Prevention Agency. The data is categorized under High Frequency Database’s Disease Outbreaks – Table KR.D001: Korea Centers for Disease Control and Prevention: Coronavirus Disease 2019 (COVID-2019) (Discontinued).

  20. Forecast: Obstructive Airway Diseases Medicine Sales in South Korea 2023 -...

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Obstructive Airway Diseases Medicine Sales in South Korea 2023 - 2027 [Dataset]. https://www.reportlinker.com/dataset/1f81d3357a29afe4a072c37dbfa7fb5dbef4ff6f
    Explore at:
    Dataset updated
    Apr 8, 2024
    Dataset provided by
    Reportlinker
    Authors
    ReportLinker
    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
    South Korea
    Description

    Forecast: Obstructive Airway Diseases Medicine Sales in South Korea 2023 - 2027 Discover more data with ReportLinker!

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Statista (2025). Most common communicable diseases in South Korea 2024, by incidence [Dataset]. https://www.statista.com/statistics/1404652/south-korea-main-infectious-diseases-by-incidence/
Organization logo

Most common communicable diseases in South Korea 2024, by incidence

Explore at:
Dataset updated
Aug 15, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
South Korea
Description

In 2024, around ****** cases of whooping cough or pertussis were reported in South Korea. Cases of whooping cough have been on the rise worldwide, with South Korea posing no exception.

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