5 datasets found
  1. 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
    figshare
    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

  2. g

    CIA Factbook, Total Number of Muslims by Country, Global, 1.2008

    • geocommons.com
    Updated Apr 29, 2008
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    data (2008). CIA Factbook, Total Number of Muslims by Country, Global, 1.2008 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    Apr 29, 2008
    Dataset provided by
    data
    CIA Fact Book
    Description

    This dataset was derived from Swivel.com at: http://www.swivel.com/data_sets/show/1011482 Which cites the CIA Fact book as the official Source. https://www.cia.gov/library/publications/the-world-factbook/ Data is available for 60 countries around the world, and lists the Muslim Population for each. This data was collected on January 15, 2008.

  3. w

    Global Financial Inclusion (Global Findex) Database 2021 - Iran, Islamic...

    • microdata.worldbank.org
    • datacatalog.ihsn.org
    • +1more
    Updated Dec 16, 2022
    + more versions
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    Development Research Group, Finance and Private Sector Development Unit (2022). Global Financial Inclusion (Global Findex) Database 2021 - Iran, Islamic Rep. [Dataset]. https://microdata.worldbank.org/index.php/catalog/4655
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    Dataset updated
    Dec 16, 2022
    Dataset authored and provided by
    Development Research Group, Finance and Private Sector Development Unit
    Time period covered
    2021
    Area covered
    Iran
    Description

    Abstract

    The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

    The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

    The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

    Geographic coverage

    National coverage

    Analysis unit

    Individual

    Kind of data

    Observation data/ratings [obs]

    Sampling procedure

    In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

    In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

    In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

    The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

    For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

    Sample size for Iran, Islamic Rep. is 1005.

    Mode of data collection

    Landline and mobile telephone

    Research instrument

    Questionnaires are available on the website.

    Sampling error estimates

    Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

  4. I

    India Census: Population: by Religion: Muslim: Urban

    • ceicdata.com
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    CEICdata.com, India Census: Population: by Religion: Muslim: Urban [Dataset]. https://www.ceicdata.com/en/india/census-population-by-religion/census-population-by-religion-muslim-urban
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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 1, 2001 - Mar 1, 2011
    Area covered
    India
    Variables measured
    Population
    Description

    India Census: Population: by Religion: Muslim: Urban data was reported at 68,740,419.000 Person in 2011. This records an increase from the previous number of 49,393,496.000 Person for 2001. India Census: Population: by Religion: Muslim: Urban data is updated yearly, averaging 59,066,957.500 Person from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 68,740,419.000 Person in 2011 and a record low of 49,393,496.000 Person in 2001. India Census: Population: by Religion: Muslim: Urban data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE001: Census: Population: by Religion.

  5. Liberia Religious Institutions

    • ebola-nga.opendata.arcgis.com
    Updated Dec 5, 2014
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    National Geospatial-Intelligence Agency (2014). Liberia Religious Institutions [Dataset]. https://ebola-nga.opendata.arcgis.com/datasets/liberia-religious-institutions
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    Dataset updated
    Dec 5, 2014
    Dataset authored and provided by
    National Geospatial-Intelligence Agencyhttp://www.nga.mil/
    Area covered
    Description

    (UNCLASSIFIED) The Liberian population is religiously heterogeneous, comprised 85.6 percent Christian, 12.6 percent Muslim, 0.6 percent adherents of tribal or indigenous traditions, 1.5 percent non-religious, and less than 1 percent a combination of Bahais, Hindus, Sikhs, and Buddhists. Primary denominations within the country’s Christian majority include Lutheran, Baptist, Episcopal, Presbyterian, Roman Catholic, United Methodist, African Methodist Episcopal (AME), AME Zion, and Pentecostal. Many individuals identified as "Christian" retain a mix of Christian and indigenous (often animistic) beliefs. Both Christian and Muslim Liberians are dispersed throughout the country. Most Muslims belong to two distinct ethnic groups, the Mandingo—who are widely distributed—and the Vai who live mostly in western areas.Christianity reached Liberia in the 19th century with the arrival of freed slaves from the United States. Missionaries of various Protestant denominations started arriving in the 1820s, eventually forming what became one of the highest per capita missionary populations in the world. The first permanent Catholic mission in the country was established in the early 1900s. A Liberian Council of Churches composed of Lutheran, Episcopal, Methodist, and other similar groups now exists, and an evangelical association of churches and missions has operated on and off since 1966. Though religiously-motivated violence in Liberia is relatively uncommon, tensions between Christians and Muslims have escalated in the past. In October 2004, approximately 25 people were killed and several churches and mosques were destroyed in Monrovia during clashes between Christians of several ethnic groups and Mandingo Muslims. The Liberian constitution provides religious freedom for all inhabitants, and in practice, the government respects minority religious groups. According to a 2013 document published by the U.S. Department of State, the Liberian government does not discriminate based on religious affiliation, belief, or worship. Although there is no state religion in the country, government ceremonies commonly begin and end with prayers or hymns, the majority of which are Christian, though some are Muslim. Most private schools in the country are operated by churches or missions. The majority receive government funding, though non-religious schools are also heavily subsidized. Religious education is available as an elective in public schools, but is not required. Social welfare institutions are largely managed or affiliated with religious organizations, often in conjunction with international aid agencies. As regards the ongoing Ebola crisis in West Africa, some religious leaders in Liberia have cited “immoral acts” as the cause of the outbreak. In August 2014, Liberia’s Council of Churches agreed, “God is angry with Liberia,” and urged Liberians to seek forgiveness for corruption and immorality by staying indoors and fasting for three days.Attribute Table Field DescriptionsISO3 - International Organization for Standardization 3-digit country code ADM0_NAME - Administration level zero identification / name ADM1_NAME - Administration level one identification / name ADM2_NAME - Administration level two identification / name NAME - Name of religious institution TYPE - Classification in the geodatabase (type of institution) CITY - City location available SPA_ACC - Spatial accuracy of site location (1 – high, 2 – medium, 3 – low) COMMENTS - Comments or notes regarding the religious institution SOURCE_DT - Source one creation date SOURCE - Source one SOURCE2_DT - Source two creation date SOURCE2 - Source two CollectionThe feature class was generated utilizing data from OpenStreetMap, Wikimapia, GeoNames and other sources. OpenStreetMap is a free worldwide map, created by crowd-sourcing. Wikimapia is open-content mapping focused on gathering all geographical objects in the world. GeoNames is a geographical places database maintained and edited by the online community. Consistent naming conventions for geographic locations were attempted but name variants may exist, which can include historical or less widespread interpretations.The data included herein have not been derived from a registered survey and should be considered approximate unless otherwise defined. While rigorous steps have been taken to ensure the quality of each dataset, DigitalGlobe is not responsible for the accuracy and completeness of data compiled from outside sources.Metadata information was collected form U.S. Department of State publications as well as news media articles. Sources (HGIS)"Cathedral of St. Therese of The Child Jesus." GCatholic. July 2014. Accessed October 7, 2014. http://www.gcatholic.org.DigitalGlobe, "DigitalGlobe Imagery Archive." Accessed October 01, 2014. GeoNames, "Liberia." September 23, 2014. Accessed October 01, 2014. http://www.geonames.org.Google, September 2014. Accessed October 01, 2014. www.google.com.OpenStreetMap, "Liberia." September 2014. Accessed October 01, 2014. http://www.openstreetmap.org.Wikimapia, "Liberia." September 2014. Accessed October 01, 2014. http://wikimapia.org.Sources (Metadata)Baden, Joel and Candida Moss. “Ebola Is Not God’s Wrath: Religious leaders are perpetuating dangerous, dehumanizing beliefs about sin and disease.” Slate. August 20, 2014. Accessed October 01, 2014. http://www.slate.com.“Country Profile: Liberia.” Soudan Interior Mission. January 01, 2014. Accessed October 01, 2014. http://www.sim.org.“Education System in Liberia.” Classbase. January 01, 2012. Accessed October 01, 2014. http://www.classbase.com.“Liberia 2005 International Religious Freedom Report.” United States Department of State: Bureau of Democracy, Human Rights, and Labor. January 01, 2005. Accessed October 01, 2014. http://www.state.gov.“Liberia 2012 International Religious Freedom Report.” United States Department of State: Bureau of Democracy, Human Rights, and Labor. January 01, 2005. Accessed October 01, 2014. http://www.state.gov.“Liberia 2014 International Religious Freedom Report.” United States Department of State. January 01, 2014. Accessed October 01, 2014. http://www.state.gov.

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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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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

Explore at:
txtAvailable download formats
Dataset updated
Jun 1, 2023
Dataset provided by
figshare
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

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