8 datasets found
  1. H

    Africa - Population Estimate

    • data.humdata.org
    geopackage
    Updated Feb 24, 2025
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    3iS (2025). Africa - Population Estimate [Dataset]. https://data.humdata.org/dataset/population-of-africa-geopackage
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    geopackage(241664)Available download formats
    Dataset updated
    Feb 24, 2025
    Dataset provided by
    3iS
    License

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

    Area covered
    Africa
    Description

    The Africa Population (Live) counter shows a continuously updated estimate of the current population of Africa delivered by Worldometer's RTS algorithm, which processes data collected from the United Nations Population Division. From https://www.worldometers.info/world-population/africa-population/

  2. Data set: 50 Muslim-majority countries and 50 richest non-Muslim countries...

    • figshare.com
    txt
    Updated Jun 1, 2023
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    Ponn P Mahayosnand; Gloria Gheno (2023). Data set: 50 Muslim-majority countries and 50 richest non-Muslim countries based on GDP: Total number of COVID-19 cases and deaths on September 18, 2020 [Dataset]. http://doi.org/10.6084/m9.figshare.14034938.v2
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    txtAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Ponn P Mahayosnand; Gloria Gheno
    License

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

    Description

    Associated with manuscript titled: Fifty Muslim-majority countries have fewer COVID-19 cases and deaths than the 50 richest non-Muslim countriesThe objective of this research was to determine the difference in the total number of COVID-19 cases and deaths between Muslim-majority and non-Muslim countries, and investigate reasons for the disparities. Methods: The 50 Muslim-majority countries had more than 50.0% Muslims with an average of 87.5%. The non-Muslim country sample consisted of 50 countries with the highest GDP while omitting any Muslim-majority countries listed. The non-Muslim countries’ average percentage of Muslims was 4.7%. Data pulled on September 18, 2020 included the percentage of Muslim population per country by World Population Review15 and GDP per country, population count, and total number of COVID-19 cases and deaths by Worldometers.16 The data set was transferred via an Excel spreadsheet on September 23, 2020 and analyzed. To measure COVID-19’s incidence in the countries, three different Average Treatment Methods (ATE) were used to validate the results. Results published as a preprint at https://doi.org/10.31235/osf.io/84zq5(15) Muslim Majority Countries 2020 [Internet]. Walnut (CA): World Population Review. 2020- [Cited 2020 Sept 28]. Available from: http://worldpopulationreview.com/country-rankings/muslim-majority-countries (16) Worldometers.info. Worldometer. Dover (DE): Worldometer; 2020 [cited 2020 Sept 28]. Available from: http://worldometers.info

  3. c

    Troublesome population growth in Kazakhstan

    • cacgeoportal.com
    Updated May 7, 2023
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    ag4283_NAU (2023). Troublesome population growth in Kazakhstan [Dataset]. https://www.cacgeoportal.com/items/2a68480a53624f4e80a0bae40a466270
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    Dataset updated
    May 7, 2023
    Dataset authored and provided by
    ag4283_NAU
    Description

    Many places around the world have experienced population growth in the past decade and even population decline due to the COVID pandemic. According to worldometer’s current statistics the global population continues to thrive reaching a little over 8 billion and still growing. Although, Kazakhstan only ranks 64 we can see that they have a decent 1.21 percent yearly change with the net change being about 225,000 to the total of 19 million. When we look at their 2021 stats from Our World in Data for birth rates and death rates per 1,000 people, we can see that they are still a growing population as the birth rate (21.54) is double the death rate (10.23). Birthrates measure the number of births in a population by using a percentage or a ratio per 1,000 people and Death rates measure using the same methods (Marston, Knox, Liverman, Del Casino, Robbins, 2019, p. 39). Not only does this contribute to the growing population, but groups of people who weren’t living there whose ethnicity is from Kazakhstan are moving back into their home country. Ethnicity is defined as a “state of belonging to a social group that has a common national or cultural tradition; socially created system of rules about who belongs to a particular group” (Marston, Knox, Liverman, Del Casino, Robbins, 2019, p. 36). Population growth isn’t necessarily a bad thing as long as it is sustainable, but for Kazakhstan population growth can be dangerous as generally they have been struggling with basic economic rights and are being directed to the northern region.

  4. COVID-19 cases and deaths per million in 210 countries as of July 13, 2022

    • statista.com
    • ai-chatbox.pro
    Updated Nov 25, 2024
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    Statista (2024). COVID-19 cases and deaths per million in 210 countries as of July 13, 2022 [Dataset]. https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/
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    Dataset updated
    Nov 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

    The difficulties of death figures

    This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

    Where are these numbers coming from?

    The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

  5. Coronavirus Live World Data 20 Apr, 2020

    • kaggle.com
    Updated Apr 25, 2020
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    Samrat Rai (2020). Coronavirus Live World Data 20 Apr, 2020 [Dataset]. https://www.kaggle.com/samrat77/coronavirus-live-world-data-20-apr-2020/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 25, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Samrat Rai
    Area covered
    World
    Description

    Context

    This Data is related to the World Fight against the Infectious Disease COVID-19 (CoronaVirus).

    Content

    This DataSet contains the World Data of Total Cases, Total Death, Total Tests and more by each Country and Continents.

    Acknowledgements

    This data is collected by Web Scraping. In this, I Scrap the data from the website Worldometers by writing the code in Python. For more, please Check the Code. Special Thanks to the Website Worldometers for providing such data. https://www.kaggle.com/samrat77/coronavirus-data-web-scraping

    Inspiration

    Inspired by all the others kagglers who are posting datasets and kernels on a daily bases.

  6. a

    Coronavirus COVID-19 Cases V2

    • hub.arcgis.com
    • gis-for-secondary-schools-schools-be.hub.arcgis.com
    Updated Mar 26, 2020
    + more versions
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    CSSE_covid19 (2020). Coronavirus COVID-19 Cases V2 [Dataset]. https://hub.arcgis.com/maps/1cb306b5331945548745a5ccd290188e
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    Dataset updated
    Mar 26, 2020
    Dataset authored and provided by
    CSSE_covid19
    Area covered
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources:Global: World Health Organization (WHO)U.S.: U.S. Centers for Disease Control and Prevention (CDC)For more information, visit the Johns Hopkins Coronavirus Resource Center.This feature layer contains the most up-to-date COVID-19 cases and latest trend plot. It covers China, Canada, Australia (at province/state level), and the rest of the world (at country level, represented by either the country centroids or their capitals)and the US at county-level. Data sources: WHO, CDC, ECDC, NHC, DXY, 1point3acres, Worldometers.info, BNO, state and national government health departments, and local media reports. . The China data is automatically updating at least once per hour, and non-China data is updating hourly. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact us.

  7. Mpox cases and deaths worldwide 2022-2025

    • statista.com
    Updated Apr 11, 2025
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    Statista (2025). Mpox cases and deaths worldwide 2022-2025 [Dataset]. https://www.statista.com/statistics/1485527/mpox-cases-and-deaths-worldwide/
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    Dataset updated
    Apr 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2022 - Feb 28, 2025
    Area covered
    Worldwide
    Description

    As of February 28, 2025, there had been over 132 thousand cases of mpox (formerly known as monkeypox) confirmed. The virus has been recorded in 131 countries and territories, and was re-named as a public health emergency of international concern by the WHO in August 2024.

  8. COVID-19 cases worldwide as of May 2, 2023, by country or territory

    • statista.com
    • ai-chatbox.pro
    Updated Aug 29, 2023
    + more versions
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    Statista (2023). COVID-19 cases worldwide as of May 2, 2023, by country or territory [Dataset]. https://www.statista.com/statistics/1043366/novel-coronavirus-2019ncov-cases-worldwide-by-country/
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    Dataset updated
    Aug 29, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had been confirmed in almost every country in the world. The virus had infected over 687 million people worldwide, and the number of deaths had reached almost 6.87 million. The most severely affected countries include the U.S., India, and Brazil.

    COVID-19: background information COVID-19 is a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. The virus is highly transmissible and coughing and sneezing are the most common forms of transmission, which is similar to the outbreak of the SARS coronavirus that began in 2002 and was thought to have spread via cough and sneeze droplets expelled into the air by infected persons.

    Naming the coronavirus disease Coronaviruses are a group of viruses that can be transmitted between animals and people, causing illnesses that may range from the common cold to more severe respiratory syndromes. In February 2020, the International Committee on Taxonomy of Viruses and the World Health Organization announced official names for both the virus and the disease it causes: SARS-CoV-2 and COVID-19, respectively. The name of the disease is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged.

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    Learn how you can add new datasets to our index.

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3iS (2025). Africa - Population Estimate [Dataset]. https://data.humdata.org/dataset/population-of-africa-geopackage

Africa - Population Estimate

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64 scholarly articles cite this dataset (View in Google Scholar)
geopackage(241664)Available download formats
Dataset updated
Feb 24, 2025
Dataset provided by
3iS
License

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

Area covered
Africa
Description

The Africa Population (Live) counter shows a continuously updated estimate of the current population of Africa delivered by Worldometer's RTS algorithm, which processes data collected from the United Nations Population Division. From https://www.worldometers.info/world-population/africa-population/

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