2 datasets found
  1. H

    Novel Coronavirus (COVID-19) Cases Data

    • data.humdata.org
    csv
    Updated Feb 4, 2025
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    Johns Hopkins University Center for Systems Science and Engineering (2025). Novel Coronavirus (COVID-19) Cases Data [Dataset]. https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Johns Hopkins University Center for Systems Science and Engineering
    License

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

    Description
    JHU Has Stopped Collecting Data As Of 03/10/2023
    After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations.
    The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics.

    Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github.

    Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths.

    On 23/03/2020, a new data structure was released. The current resources for the latest time series data are:

    • time_series_covid19_confirmed_global.csv
    • time_series_covid19_deaths_global.csv
    • time_series_covid19_recovered_global.csv

    ---DEPRECATION WARNING---
    The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020:

    • time_series_19-covid-Confirmed.csv
    • time_series_19-covid-Deaths.csv
    • time_series_19-covid-Recovered.csv
  2. Countries with the highest birth rate 2024

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). Countries with the highest birth rate 2024 [Dataset]. https://www.statista.com/statistics/264704/ranking-of-the-20-countries-with-the-highest-birth-rate/
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    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Niger had the highest birth rate in the world in 2024, with a birth rate of 46.6 births per 1,000 inhabitants. Angola, Benin, Mali, and Uganda followed. Except for Afghanistan, all the 20 countries with the highest birth rates in the world were located in Sub-Saharan Africa. High infant mortality The reasons behind the high birth rates in many Sub-Saharan African countries are manyfold, but a major reason is that infant mortality remains high on the continent, despite decreasing steadily over the past decades, resulting in high birth rates to counter death rates. Moreover, many nations in Sub-Saharan Africa are highly reliant on small-scale farming, meaning that more hands are of importance. Additionally, polygamy is not uncommon in the region, and having many children is often seen as a symbol of status. Fastest growing populations As the high fertility rates coincide with decreasing death rates, countries in Sub-Saharan Africa have the highest population growth rates in the world. As a result, with Africa's population forecast to increase from 1.4 billion in 2022 to over 3.9 billion by 2100.

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Share
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Johns Hopkins University Center for Systems Science and Engineering (2025). Novel Coronavirus (COVID-19) Cases Data [Dataset]. https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases

Novel Coronavirus (COVID-19) Cases Data

Explore at:
279 scholarly articles cite this dataset (View in Google Scholar)
csvAvailable download formats
Dataset updated
Feb 4, 2025
Dataset provided by
Johns Hopkins University Center for Systems Science and Engineering
License

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

Description
JHU Has Stopped Collecting Data As Of 03/10/2023
After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations.
The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics.

Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github.

Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths.

On 23/03/2020, a new data structure was released. The current resources for the latest time series data are:

  • time_series_covid19_confirmed_global.csv
  • time_series_covid19_deaths_global.csv
  • time_series_covid19_recovered_global.csv

---DEPRECATION WARNING---
The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020:

  • time_series_19-covid-Confirmed.csv
  • time_series_19-covid-Deaths.csv
  • time_series_19-covid-Recovered.csv
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