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

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.

This dataset describes the world’s religious makeup in 2020 and 2010. We focus on seven categories: Christians, Muslims, Hindus, Buddhists, Jews, people who belong to other religions, and those who are religiously unaffiliated. This analysis is based on more than 2,700 sources of data, including national censuses, large-scale demographic surveys, general population surveys and population registers. For more information about this data, see the associated Pew Research Center report "How the Global Religious Landscape Changed From 2010 to 2020."

Islam and Christianity form the two dominant religions in Nigeria. Since colonialism, approximately 90 percent of the Nigerian people identify themselves as Islamic or Christian. The northern region of Nigeria is predominately Islamic, while the southern region is predominately Christian.

Nigeria’s contact with Islam predated that of Christianity and European colonialism; its spread was facilitated into Sub-Saharan Africa through trade and commerce. The northern part of Nigeria is symbolic to the history of Islam, as it penetrated the area through the Kanem-Borno Empire in the 11th century before spreading to other predominately Hausa states. Islam was then introduced into the traditional societies of the Yoruba-speaking people of south-west Nigeria through their established commercial relationship with people of the north, particularly the Nupe and Fulani.

Christianity reached Nigeria in the 15th century with the visitation of Catholic missionaries to the coastal areas of the Niger-Delta region. Christianity soon recorded a boost in the southern region given its opposition to the slave trade and its promotion of Western education.

The distinct religious divide has instigated violence in present-day Nigeria, including the Sharia riot in Kaduna in 2000, ongoing ethno-religious violence in Jos since 2001, and the 2011 post-election violence that erupted in some northern states, particularly in the city of Maiduguri. Nigerians’ continued loyalty to religion compared to that of the country continues to sustain major political debate, conflict, and violent outbreaks between populations of the two faiths.

ISO3-International Organization for Standardization 3-digit country code

NAME-Name of religious institution

TYPE-Type of religious institution

CITY-City religious institution is located in

SPA_ACC-Spatial accuracy of site location 1- high, 2 – medium, 3 - low

SOURCE_DT-Source creation date

SOURCE-Primary source

SOURCE2_DT-Secondary source creation date

SOURCE2-Secondary source

Collection

This HGIS was created using information collected from the web sites GCatholic.org, Islamic Finder, Wikimapia, and BBBike.org, which uses OpenStreetMap, a crowd-source collaboration project that geo-locates sites throughout the world. After collection, all education institutions were geo-located.

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 Analytics is not responsible for the accuracy and completeness of data compiled from outside sources.

Sources (HGIS)

BBBike, "Nigeria." Last modified 2013. Accessed March 19, 2013. http://extract.bbbike.org.

GCatholic.org, "Catholic Churches in Federal Republic of Nigeria." Last modified 2013. Accessed April 4, 2013. http://www.gcatholic.org/.

Islamic Finder, "Nigeria." Last modified 2013. Accessed April 4, 2013. http://islamicfinder.org/.

Olanrewaju, Timothy. The Sun, "oko Haram attacks church in Maiduguri." Last modified 2013. Accessed April 9, 2013. http://sunnewsonline.com/.

Wikimapia, "Nigeria:Mosques/Churches." Last modified 2013. Accessed April 4, 2013. http://wikimapia.org/

World Watch Monitor, "Muslim Threat to Attack Church Raises Tensions." Last modified 2012. Accessed April 9, 2013. http://www.worldwatchmonitor.org/.

Sources (Metadata)

Danjibo, N.D. "Islamic Fundamentalism and Sectarian Violence: The "Maitatsine" and "Boko Haram" Crises in Northern Nigeria." manuscript., University of Ibadan, 2010. http://www.ifra-nigeria.org.

Olanrewaju, Timothy. The Sun, "oko Haram attacks church in Maiduguri." Last modified 2013. Accessed April 9, 2013. http://sunnewsonline.com/.

Onapajo, Hakeem. "Politics for God: Religion, Politics, and Conflict in Democratic Nigeria." Journal of Pan African Studies. 4. no. 9 (2012): 42-66. http://web.ebscohost.com (accessed March 26, 2013).

World Watch Monitor, "Muslim Threat to Attack Church Raises Tensions." Last modified 2012. Accessed April 9, 2013. http://www.worldwatchmonitor.org/.

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.

The American journal of Islamic social sciences Acceptance Rate - ResearchHelpDesk - The American journal of Islamic social sciences Established in 1984, AJISS is a quarterly, double blind peer-reviewed and interdisciplinary journal, published by the International Institute of Islamic Thought (IIIT), and distributed worldwide. The journal showcases a wide variety of scholarly research on all facets of Islam and the Muslim world: anthropology, economics, history, philosophy and metaphysics, politics, psychology, and law. Abstract & indexing Discovery and Sociology Source Ultimate, ATLA (American Theological Library Association)’s Religion Database (ATLA RDB), and ProQuest’s Religion Database, Social Science Premium Collection, Social Science Database, Periodicals Archive Online (PAO), and Worldwide Political Science Abstracts.

The second National Family Health Survey (NFHS-2), conducted in 1998-99, provides information on fertility, mortality, family planning, and important aspects of nutrition, health, and health care. The International Institute for Population Sciences (IIPS) coordinated the survey, which collected information from a nationally representative sample of more than 90,000 ever-married women age 15-49. The NFHS-2 sample covers 99 percent of India's population living in all 26 states. This report is based on the survey data for 25 of the 26 states, however, since data collection in Tripura was delayed due to local problems in the state. IIPS also coordinated the first National Family Health Survey (NFHS-1) in 1992-93. Most of the types of information collected in NFHS-2 were also collected in the earlier survey, making it possible to identify trends over the intervening period of six and one-half years. In addition, the NFHS-2 questionnaire covered a number of new or expanded topics with important policy implications, such as reproductive health, women's autonomy, domestic violence, women's nutrition, anaemia, and salt iodization. The NFHS-2 survey was carried out in two phases. Ten states were surveyed in the first phase which began in November 1998 and the remaining states (except Tripura) were surveyed in the second phase which began in March 1999. The field staff collected information from 91,196 households in these 25 states and interviewed 89,199 eligible women in these households. In addition, the survey collected information on 32,393 children born in the three years preceding the survey. One health investigator on each survey team measured the height and weight of eligible women and children and took blood samples to assess the prevalence of anaemia. SUMMARY OF FINDINGS POPULATION CHARACTERISTICS Three-quarters (73 percent) of the population lives in rural areas. The age distribution is typical of populations that have recently experienced a fertility decline, with relatively low proportions in the younger and older age groups. Thirty-six percent of the population is below age 15, and 5 percent is age 65 and above. The sex ratio is 957 females for every 1,000 males in rural areas but only 928 females for every 1,000 males in urban areas, suggesting that more men than women have migrated to urban areas. The survey provides a variety of demographic and socioeconomic background information. In the country as a whole, 82 percent of household heads are Hindu, 12 percent are Muslim, 3 percent are Christian, and 2 percent are Sikh. Muslims live disproportionately in urban areas, where they comprise 15 percent of household heads. Nineteen percent of household heads belong to scheduled castes, 9 percent belong to scheduled tribes, and 32 percent belong to other backward classes (OBCs). Two-fifths of household heads do not belong to any of these groups. Questions about housing conditions and the standard of living of households indicate some improvements since the time of NFHS-1. Sixty percent of households in India now have electricity and 39 percent have piped drinking water compared with 51 percent and 33 percent, respectively, at the time of NFHS-1. Sixty-four percent of households have no toilet facility compared with 70 percent at the time of NFHS-1. About three-fourths (75 percent) of males and half (51 percent) of females age six and above are literate, an increase of 6-8 percentage points from literacy rates at the time of NFHS-1. The percentage of illiterate males varies from 6-7 percent in Mizoram and Kerala to 37 percent in Bihar and the percentage of illiterate females varies from 11 percent in Mizoram and 15 percent in Kerala to 65 percent in Bihar. Seventy-nine percent of children age 6-14 are attending school, up from 68 percent in NFHS-1. The proportion of children attending school has increased for all ages, particularly for girls, but girls continue to lag behind boys in school attendance. Moreover, the disparity in school attendance by sex grows with increasing age of children. At age 6-10, 85 percent of boys attend school compared with 78 percent of girls. By age 15-17, 58 percent of boys attend school compared with 40 percent of girls. The percentage of girls 6-17 attending school varies from 51 percent in Bihar and 56 percent in Rajasthan to over 90 percent in Himachal Pradesh and Kerala. Women in India tend to marry at an early age. Thirty-four percent of women age 15-19 are already married including 4 percent who are married but gauna has yet to be performed. These proportions are even higher in the rural areas. Older women are more likely than younger women to have married at an early age: 39 percent of women currently age 45-49 married before age 15 compared with 14 percent of women currently age 15-19. Although this indicates that the proportion of women who marry young is declining rapidly, half the women even in the age group 20-24 have married before reaching the legal minimum age of 18 years. On average, women are five years younger than the men they marry. The median age at marriage varies from about 15 years in Madhya Pradesh, Bihar, Uttar Pradesh, Rajasthan, and Andhra Pradesh to 23 years in Goa. As part of an increasing emphasis on gender issues, NFHS-2 asked women about their participation in household decisionmaking. In India, 91 percent of women are involved in decision-making on at least one of four selected topics. A much lower proportion (52 percent), however, are involved in making decisions about their own health care. There are large variations among states in India with regard to women's involvement in household decisionmaking. More than three out of four women are involved in decisions about their own health care in Himachal Pradesh, Meghalaya, and Punjab compared with about two out of five or less in Madhya Pradesh, Orissa, and Rajasthan. Thirty-nine percent of women do work other than housework, and more than two-thirds of these women work for cash. Only 41 percent of women who earn cash can decide independently how to spend the money that they earn. Forty-three percent of working women report that their earnings constitute at least half of total family earnings, including 18 percent who report that the family is entirely dependent on their earnings. Women's work-participation rates vary from 9 percent in Punjab and 13 percent in Haryana to 60-70 percent in Manipur, Nagaland, and Arunachal Pradesh. FERTILITY AND FAMILY PLANNING Fertility continues to decline in India. At current fertility levels, women will have an average of 2.9 children each throughout their childbearing years. The total fertility rate (TFR) is down from 3.4 children per woman at the time of NFHS-1, but is still well above the replacement level of just over two children per woman. There are large variations in fertility among the states in India. Goa and Kerala have attained below replacement level fertility and Karnataka, Himachal Pradesh, Tamil Nadu, and Punjab are at or close to replacement level fertility. By contrast, fertility is 3.3 or more children per woman in Meghalaya, Uttar Pradesh, Rajasthan, Nagaland, Bihar, and Madhya Pradesh. More than one-third to less than half of all births in these latter states are fourth or higher-order births compared with 7-9 percent of births in Kerala, Goa, and Tamil Nadu. Efforts to encourage the trend towards lower fertility might usefully focus on groups within the population that have higher fertility than average. In India, rural women and women from scheduled tribes and scheduled castes have somewhat higher fertility than other women, but fertility is particularly high for illiterate women, poor women, and Muslim women. Another striking feature is the high level of childbearing among young women. More than half of women age 20-49 had their first birth before reaching age 20, and women age 15-19 account for almost one-fifth of total fertility. Studies in India and elsewhere have shown that health and mortality risks increase when women give birth at such young ages?both for the women themselves and for their children. Family planning programmes focusing on women in this age group could make a significant impact on maternal and child health and help to reduce fertility. INFANT AND CHILD MORTALITY NFHS-2 provides estimates of infant and child mortality and examines factors associated with the survival of young children. During the five years preceding the survey, the infant mortality rate was 68 deaths at age 0-11 months per 1,000 live births, substantially lower than 79 per 1,000 in the five years preceding the NFHS-1 survey. The child mortality rate, 29 deaths at age 1-4 years per 1,000 children reaching age one, also declined from the corresponding rate of 33 per 1,000 in NFHS-1. Ninety-five children out of 1,000 born do not live to age five years. Expressed differently, 1 in 15 children die in the first year of life, and 1 in 11 die before reaching age five. Child-survival programmes might usefully focus on specific groups of children with particularly high infant and child mortality rates, such as children who live in rural areas, children whose mothers are illiterate, children belonging to scheduled castes or scheduled tribes, and children from poor households. Infant mortality rates are more than two and one-half times as high for women who did not receive any of the recommended types of maternity related medical care than for mothers who did receive all recommended types of care. HEALTH, HEALTH CARE, AND NUTRITION Promotion of maternal and child health has been one of the most important components of the Family Welfare Programme of the Government of India. One goal is for each pregnant woman to receive at least three antenatal check-ups plus two tetanus toxoid injections and a full course of iron and folic acid supplementation. In India, mothers of 65 percent of the children born in the three years preceding NFHS-2 received at least one antenatal

Census: Population: by Religion: Muslim: Kerala data was reported at 4,621,685.000 Person in 03-01-2011. This records an increase from the previous number of 1,998,397.000 Person for 03-01-2001. Census: Population: by Religion: Muslim: Kerala data is updated decadal, averaging 3,310,041.000 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 4,621,685.000 Person in 03-01-2011 and a record low of 1,998,397.000 Person in 03-01-2001. Census: Population: by Religion: Muslim: Kerala 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.

Census: Population: by Religion: Muslim: Assam data was reported at 10,679,345.000 Person in 03-01-2011. This records an increase from the previous number of 8,240,611.000 Person for 03-01-2001. Census: Population: by Religion: Muslim: Assam data is updated decadal, averaging 9,459,978.000 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 10,679,345.000 Person in 03-01-2011 and a record low of 8,240,611.000 Person in 03-01-2001. Census: Population: by Religion: Muslim: Assam 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.

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.

Singapore Population: Religion: Islam data was reported at 459.800 Person th in 2015. This records an increase from the previous number of 457.435 Person th for 2010. Singapore Population: Religion: Islam data is updated yearly, averaging 457.435 Person th from Jun 2000 (Median) to 2015, with 3 observations. The data reached an all-time high of 459.800 Person th in 2015 and a record low of 371.660 Person th in 2000. Singapore Population: Religion: Islam data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G002: Population by Religion .

Singapore Population: Religion: Female: Islam data was reported at 233.800 Person th in 2015. This records an increase from the previous number of 231.478 Person th for 2010. Singapore Population: Religion: Female: Islam data is updated yearly, averaging 231.478 Person th from Jun 2000 (Median) to 2015, with 3 observations. The data reached an all-time high of 233.800 Person th in 2015 and a record low of 185.804 Person th in 2000. Singapore Population: Religion: Female: Islam data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G002: Population by Religion .