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

In 2020, Indonesia recorded the largest population of Muslims worldwide, with around 239 million. This was followed with around 226.88 million Muslims in Pakistan and 213 million Muslims in India.

The average for 2013 based on 46 countries was 43.9 percent. The highest value was in Algeria: 100 percent and the lowest value was in Angola: 0 percent. The indicator is available from 1960 to 2013. Below is a chart for all countries where data are available.

"Between October 2011 and November 2012, Pew Research Center, with generous funding from The Pew Charitable Trusts and the John Templeton Foundation, conducted a public opinion survey involving more than 30,000 face-to-face interviews in 26 countries in Africa, Asia, the Middle East and Europe. The survey asked people to describe their religious beliefs and practices, and sought to gauge respondents; knowledge of and attitudes toward other faiths. It aimed to assess levels of political and economic satisfaction, concerns about crime, corruption and extremism, positions on issues such as abortion and polygamy, and views of democracy, religious law and the place of women in society.

"Although the surveys were nationally representative in most countries, the primary goal of the survey was to gauge and compare beliefs and attitudes of Muslims. The findings for Muslim respondents are summarized in the Religion & Public Life Project's reports The World's Muslims: Unity and Diversity and The World's Muslims: Religion, Politics and Society, which are available at www.pewresearch.org. [...] This dataset only contains data for Muslim respondents in the countries surveyed. Please note that this codebook is meant as a guide to the dataset, and is not the survey questionnaire." (2012 Pew Religion Worlds Muslims Codebook)

Islam is the major religion in many African countries, especially in the north of the continent. In Comoros, Libya, Western Sahara, at least 99 percent of the population was Muslim as of 202. These were the highest percentages on the continent. However, also in many other African nations, the majority of the population was Muslim. In Egypt, for instance, Islam was the religion of 79 percent of the people. Islam and other religions in Africa Africa accounts for an important share of the world’s Muslim population. As of 2019, 16 percent of the Muslims worldwide lived in Sub-Saharan Africa, while 20 percent of them lived in the Middle East and North Africa (MENA) region. Together with Christianity, Islam is the most common religious affiliation in Africa, followed by several traditional African religions. Although to a smaller extent, numerous other religions are practiced on the continent: these include Judaism, the Baha’i Faith, Hinduism, and Buddhism. Number of Muslims worldwide Islam is one of the most widespread religions in the world. There are approximately 1.9 billion Muslims globally, with the largest Muslim communities living in the Asia-Pacific region. Specifically, Indonesia hosts the highest number of Muslims worldwide, amounting to over 200 million, followed by India, Pakistan, and Bangladesh. Islam is also present in Europe and America. The largest Islamic communities in Europe are in France (5.72 million), Germany (4.95 million), and the United Kingdom (4.13 million). In the United States, there is an estimated number of around 3.45 million Muslims.

The average for 2013 based on 11 countries was 0 percent. The highest value was in Argentina: 0 percent and the lowest value was in Argentina: 0 percent. The indicator is available from 1960 to 2013. Below is a chart for all countries where data are available.

The average for 2013 based on 27 countries was 12.7 percent. The highest value was in Turkey: 99 percent and the lowest value was in Belarus: 0 percent. The indicator is available from 1960 to 2013. Below is a chart for all countries where data are available.

Spain has a long history of Islamic tradition under its belt. From cuisine to architecture, the southern European country has been linked to the North of Africa through many common elements. At the end of 2023, there were approximately 2.41 million Muslims in Spain, most of them of Spanish and Moroccan nationality, with upwards of eight hundred thousand believers in both cases. With a Muslim population of more than 660,000 people, Catalonia was home to the largest Muslim community in Spain as of the same date.

The not so Catholic Spain

Believers of a religion other than Catholicism accounted for approximately 3 percent of the Spanish population, according to the most recent data. Although traditionally a Catholic country, Spain saw a decline in the number of believers over the past years. Compared to previous years, when the share of believers accounted for slightly over 70 percent of the Spanish population, the Catholic community lost ground, while still being the major religion for the foreseable future.

A Catholic majority, a practicing minority

Going to mass is no longer a thing in Spain, or so it would seem when looking at the latest statistics about the matter: 50 percent of those who consider themselves Catholics almost never attend any religious service in 2024. The numbers increased until 2019, from 55.5 percent of the population never attending religious services in 2011 to 63.1 percent in 2019. The share of population that stated to be practicing believers and go to mass every Sunday and on the most important holidays accounted for only 15.5 percent.

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.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Education is one of the most powerful instruments for reducing poverty and inequality and lays a foundation for sustained economic growth. The World Bank compiles data on education inputs, participation, efficiency, and outcomes. Data on education are compiled by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics from official responses to surveys and from reports provided by education authorities in each country.

Census: Population: by Religion: Muslim: Uttarakhand data was reported at 1,406,825.000 Person in 03-01-2011. This records an increase from the previous number of 1,012,141.000 Person for 03-01-2001. Census: Population: by Religion: Muslim: Uttarakhand data is updated decadal, averaging 1,209,483.000 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 1,406,825.000 Person in 03-01-2011 and a record low of 1,012,141.000 Person in 03-01-2001. Census: Population: by Religion: Muslim: Uttarakhand data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE003: Census: Population: by Religion: Muslim.

Pew Research Center surveyed 13,122 adults across six countries in Asia about religious identity, beliefs, and practices, using nationally representative methods. Interviews were conducted face-to-face in Cambodia, Indonesia, Sri Lanka, and Thailand. They were conducted on mobile phones in Malaysia and Singapore. Local interviewers administered the survey from June to September 2022, in eight languages.

This survey is part of the Pew-Templeton Global Religious Futures project, a broader effort by Pew Research Center to study religious change and its impact on societies around the world. The Center previously has conducted religion-focused surveys across sub-Saharan Africa; the Middle East-North Africa region and many countries with large Muslim populations; Latin America; Israel; Central and Eastern Europe; Western Europe; India; and the United States.

This survey includes three countries in which Buddhists make up a majority of the population (Cambodia, Sri Lanka, and Thailand); two countries with Muslim majorities (Malaysia and Indonesia); and one country that is religiously diverse, with no single group forming a majority (Singapore). We also are surveying five additional countries and territories in Asia, to be covered in a future report.

Pew Research Center has produced a supplemental syntax file containing SPSS code to generate common analytic variables in the survey's corresponding report and toplines. The ARDA has provided this syntax in a copyable PDF document as an additional download.

Abstract

In order to develop various methods of comparable data collection on health and health system responsiveness WHO started a scientific survey study in 2000-2001. This study has used a common survey instrument in nationally representative populations with modular structure for assessing health of indviduals in various domains, health system responsiveness, household health care expenditures, and additional modules in other areas such as adult mortality and health state valuations.

The health module of the survey instrument was based on selected domains of the International Classification of Functioning, Disability and Health (ICF) and was developed after a rigorous scientific review of various existing assessment instruments. The responsiveness module has been the result of ongoing work over the last 2 years that has involved international consultations with experts and key informants and has been informed by the scientific literature and pilot studies.

Questions on household expenditure and proportionate expenditure on health have been borrowed from existing surveys. The survey instrument has been developed in multiple languages using cognitive interviews and cultural applicability tests, stringent psychometric tests for reliability (i.e. test-retest reliability to demonstrate the stability of application) and most importantly, utilizing novel psychometric techniques for cross-population comparability.

The study was carried out in 61 countries completing 71 surveys because two different modes were intentionally used for comparison purposes in 10 countries. Surveys were conducted in different modes of in- person household 90 minute interviews in 14 countries; brief face-to-face interviews in 27 countries and computerized telephone interviews in 2 countries; and postal surveys in 28 countries. All samples were selected from nationally representative sampling frames with a known probability so as to make estimates based on general population parameters.

The survey study tested novel techniques to control the reporting bias between different groups of people in different cultures or demographic groups ( i.e. differential item functioning) so as to produce comparable estimates across cultures and groups. To achieve comparability, the selfreports of individuals of their own health were calibrated against well-known performance tests (i.e. self-report vision was measured against standard Snellen's visual acuity test) or against short descriptions in vignettes that marked known anchor points of difficulty (e.g. people with different levels of mobility such as a paraplegic person or an athlete who runs 4 km each day) so as to adjust the responses for comparability . The same method was also used for self-reports of individuals assessing responsiveness of their health systems where vignettes on different responsiveness domains describing different levels of responsiveness were used to calibrate the individual responses.

This data are useful in their own right to standardize indicators for different domains of health (such as cognition, mobility, self care, affect, usual activities, pain, social participation, etc.) but also provide a better measurement basis for assessing health of the populations in a comparable manner. The data from the surveys can be fed into composite measures such as "Healthy Life Expectancy" and improve the empirical data input for health information systems in different regions of the world. Data from the surveys were also useful to improve the measurement of the responsiveness of different health systems to the legitimate expectations of the population.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Data Coding At each site the data was coded by investigators to indicate the respondent status and the selection of the modules for each respondent within the survey design. After the interview was edited by the supervisor and considered adequate it was entered locally.

Data Entry Program A data entry program was developed in WHO specifically for the survey study and provided to the sites. It was developed using a database program called the I-Shell (short for Interview Shell), a tool designed for easy development of computerized questionnaires and data entry (34). This program allows for easy data cleaning and processing.

The data entry program checked for inconsistencies and validated the entries in each field by checking for valid response categories and range checks. For example, the program didn’t accept an age greater than 120. For almost all of the variables there existed a range or a list of possible values that the program checked for.

In addition, the data was entered twice to capture other data entry errors. The data entry program was able to warn the user whenever a value that did not match the first entry was entered at the second data entry. In this case the program asked the user to resolve the conflict by choosing either the 1st or the 2nd data entry value to be able to continue. After the second data entry was completed successfully, the data entry program placed a mark in the database in order to enable the checking of whether this process had been completed for each and every case.

Data Transfer The data entry program was capable of exporting the data that was entered into one compressed database file which could be easily sent to WHO using email attachments or a file transfer program onto a secure server no matter how many cases were in the file. The sites were allowed the use of as many computers and as many data entry personnel as they wanted. Each computer used for this purpose produced one file and they were merged once they were delivered to WHO with the help of other programs that were built for automating the process. The sites sent the data periodically as they collected it enabling the checking procedures and preliminary analyses in the early stages of the data collection.

Data quality checks Once the data was received it was analyzed for missing information, invalid responses and representativeness. Inconsistencies were also noted and reported back to sites.

Data Cleaning and Feedback After receipt of cleaned data from sites, another program was run to check for missing information, incorrect information (e.g. wrong use of center codes), duplicated data, etc. The output of this program was fed back to sites regularly. Mainly, this consisted of cases with duplicate IDs, duplicate cases (where the data for two respondents with different IDs were identical), wrong country codes, missing age, sex, education and some other important variables.

In 2020, around 28.8 percent of the global population were identified as Christian. Around 25.6 percent of the global population identify as Muslims, followed by 14.9 percent of global populations as Hindu. The number of Muslims increased by 347 million, when compared to 2010 data, more than all other religions combined.

Census: Population: by Religion: Muslim: Andaman and Nicobar Islands data was reported at 32,413.000 Person in 03-01-2011. This records an increase from the previous number of 29,265.000 Person for 03-01-2001. Census: Population: by Religion: Muslim: Andaman and Nicobar Islands data is updated decadal, averaging 30,839.000 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 32,413.000 Person in 03-01-2011 and a record low of 29,265.000 Person in 03-01-2001. Census: Population: by Religion: Muslim: Andaman and Nicobar Islands data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE003: Census: Population: by Religion: Muslim.

This study explores the nature and conceptualisation of mental health and well-being among Indonesians living in an urban environment. Little is known about the nature of mental health and well-being in the everyday living context in developing countries. In Indonesia, as one of the most populous countries and the largest Muslim population in the world, the incidence of mental health problems has increased immensely in the last decade. However, there is a very limited number of studies that incorporate relevant cultural contexts into the understanding of mental health and well-being in Indonesia. This study aims to elucidate the relationship of specific psychosocial factors, as protective and risk factors, to mental health and well-being in the everyday urban living contexts experienced by a growing middle class in Indonesia in the perspective of Keyes' model of mental well-being. The data for this study were collected through semi-structured interviews and were analysed using Giorgi’s descriptive phenomenological approach.

According to the population census data in 2010, 54.14 percent of the population in East Nusa Tenggara, Indonesia were Catholics. East Nusa Tenggara is the province with the least Muslim population in Indonesia. Indonesia has the largest Islamic population in the world. However, Indonesia is a multi-faith country that recognizes six official religions – Islam, Protestantism, Catholicism, Buddhism, Hinduism, and Confucianism.

The main objective of the Journal of Islam and Social Sciences is to provide an intellectual platform for national and international researchers to discuss their most recent findings related to the relationship of Islam and social sciences in Iran. By doing so, the journal hopes to improve the status of the field in Iran and in the world and to find solutions to theoretical and practical problems the profession is faced with. The wide range of issues related to the relationship between religion i.e. Islam and the social sciences requires that specialized scientific journals, and in the near future scientific researches, devote special attention to issues and problems raised in this regard. So the results of these researches will address the needs of the scientific community in the country. For this reason, the Department of Social Sciences of RIHU has been seeking publication of a journal titled "Islam and Social Sciences". Semi-annual journal of Islam and Social Sciences, in order to cooperate with other sections of Hawzah and University and to realize the above-mentioned goals and developing and deepening the literature in the field of relationships between Islam and social sciences and with the aim of providing scientific information, providing ground for dialogue and reflection of the opinions of scholars and creating a ground for the production of religious science and providing a suitable space for the further development and progress of the Islamic social sciences intends to examine the relations of religion, especially Islam and social sciences, in the form of publication of special issues. To serve this purpose, researchers are encouraged to submit their unpublished, original, full-length papers for potential publication in the journal.

Abstract

Since its inception in the mid-1990s, the Multiple Indicator Cluster Surveys programme, known as MICS, has become the largest source of statistically sound and internationally comparable data on children and women worldwide. In countries as diverse as Bangladesh, Thailand, Fiji, Qatar, Cote d’Ivoire, Turkmenistan and Argentina, trained fieldwork teams conduct face-to-face interviews with household members on a variety of topics – focusing mainly on those issues that directly affect the lives of children and women. MICS is an integral part of plans and policies of many governments around the world, and a major data source for more than 30 Sustainable Development Goals (SDGs) indicators. The MICS programme continues to evolve with new methodologies and initiatives, including MICS Plus, MICS Link, MICS GIS and the MICS Tabulator.

Geographic coverage

Iran, Islamic Republic of The majority of MICS surveys are designed to be representative at the national level. Sample sizes are sufficient to generate robust data at the regional or provincial levels, and for urban and rural areas. In MICS1, subnational surveys, covering specific geographical areas (such as the Northeast zone of Somalia and West Bank and Gaza Strip of State of Palestine) within countries were also conducted.

Analysis unit

Household, Individual

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for the MICS1 was designed to provide national estimates of indicators for the Mid-Decade Goals. Additionally, most countries also used the survey to provide subnational estimates – for example, at the level of regions, areas, states, provinces or districts. These data may be used for detecting areas where greater efforts are required, as well as for programming and evaluation purposes.

MICS1 reports routinely disaggregate data by location of residence. More details on particular sampling design can be found in the survey final reports.

Mode of data collection

Face-to-face [f2f]

Research instrument

MICS questionnaires were designed by implementing agencies, typically the National Statistical Offices. In each country, MICS questionnaires were based on an assessment of the country’s data needs. The starting point was the standard MICS1 questionnaire designed under the guidance of the Planning and Coordination Office, all relevant technical clusters within UNICEF and the Evaluation and Research Office, with assistance from the United Nations Statistical Office, with support from UNFPA, and in consultation with other United Nations agencies, especially the World Health Organization and UNESCO. Countries chose from the MICS modules in the standard MICS questionnaires. All survey activities, from sample and survey design, to fieldwork and report writing were carried out by the implementing agencies – with limited technical support from UNICEF regional advisors in monitoring and evaluation.

The MICS1 standard questionnaire was set up as a series of modules:

HOUSEHOLD MODULES: Household Information Panel Mother and Child Listing Form Water and Sanitation Module Salt Iodization Module Education Module

MODULES FOR MOTHERS: Tetanus Toxoid Module Care of Acute Respiratory Illness Module (optional)

MODULES FOR CHILDREN UNDER FIVE YEARS OF AGE: Diarrhoe Module Vitamin A Module Breastfeeding Module (optional) Immunization Module Anthropometry Module

MORTALITY MODULE (alternative)

The global terrorism index systematically ranks countries of the world according to their terrorist activity. In 2024, Burkina Faso ranked first on the global terrorism index with a score of 8.58 points, making it the country most affected by terrorism on Earth. In 2023, the Democratic Republic of the Congo suffered from the fourth highest number of terrorist attacks.Additional information on the Global terrorism index The Global Terrorism Index is an annual ranking produced by the Institute for Economics and Peace. As even the definition of terrorism is hotly debated, it is essential to highlight that the methodologies used to measure terrorism are also contested. The Global Terrorism Index ranks 163 countries on four indicators weighted over five years. These four factors are: the number of terrorist incidents per year, the number of fatalities caused by terrorists per year, the number of injuries caused by terrorists per year, and total property damage caused by terrorism per year. Terrorist groups Terrorism comes in several forms from a variety of groups with differing intentions. Taliban regaining power in Afghanistan in 2021 can help explain the high ranking of Afghanistan, but the country has been plagued by terrorist activities for many decades. The operation of numerous groups alongside or in conflict with the Islamic State and the Taliban has led to Afghanistan falling victim to a high number of attacks. Moreover, IS now operates across several countries and regions, including in Burkina Faso. Economic damages On the non-human casualty side of the index, property loss is an important metric as loss of shelter or livelihood has a long lasting impact on those who survive the attack physically unharmed. The high percentage of attacks in advanced economies in the most expensive terrorist attacks by insured property loss demonstrates the limitation of using comparative financial data. Although the insured losses are lower in countries such as Iraq and Afghanistan, this does not suggest the impact of property loss is lower. The instability in these countries often makes insurance unaffordable for most citizens.