These data were collected for a study of how the characteristics of political parties influence women's chances in assuming leadership positions within the parties' inner structures. Data were compiled by Fatima Sbaity Kassem for a case-study of Lebanon and by national and local researchers for 25 other countries in Asia, Africa and Europe. The researchers collected raw data on women in politics from party administrators and government officials. Researchers gathered information about parties' year of origin, number of seats in parliament, political platform, and all gender-disaggregated party data (in percentages) on overall party membership, shares in executive and decision-making bodies, and nominations on electoral lists. A key variable measures party religiosity, which refers to the religious components on their political platforms or the extent to which religion penetrates their political agendas.

Only parties that have at least one seat in any of the last three parliaments were included. These are referred to as 'relevant' parties. The four data sets combined cover 330 political parties in Lebanon plus 12 other Arab countries (Algeria, Bahrain, Comoros, Djibouti, Egypt, Jordan, Kuwait, Mauritania, Morocco, Palestine, Tunisia, and Yemen), seven non-Arab Muslim-majority countries (Albania, Afghanistan, Bangladesh, Bosnia-Herzegovina, Indonesia, Senegal, and Turkey), five European countries with dominant Christian democratic parties (Austria, Belgium, Italy, Germany, and the Netherlands), and Israel.

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

This repository contains historical data collected in the digital humanities project Dhimmis & Muslims – Analysing Multireligious Spaces in the Medieval Muslim World. The project was funded by the VolkswagenFoundation within the scope of the Mixed Methods initiative. The project was a collaboration between the Institute for Medieval History II of the Goethe University in Frankfurt/Main, Germany, and the Institute for Visualization and Interactive Systems at the University of Stuttgart, and took place there from 2018 to 2021. The objective of this joint project was to develop a novel visualization approach in order to gain new insights on the multi-religious landscapes of the Middle East under Muslim rule during the Middle Ages (7th to 14th century). In particular, information on multi-religious communities were researched and made available in a database accessible through interactive visualization as well as through a pilot web-based geo-temporal multi-view system to analyze and compare information from multiple sources. The code for this visualization system is publicly available on GitHub under the MIT license. The data in this repository is a curated database dump containing data collected from a predetermined set of primary historical sources and literature. The core objective of the data entry was to record historical evidence for religious groups in cities of the Medieval Middle East. In the project, data was collected in a relational PostgreSQL database, the structure of which can be reconstructed from the file schema.sql. An entire database dump including both the database schema and the table contents is located in database.sql. The PDF file database-structure.pdf describes the relationship between tables in a graphical schematic. In the database.json file, the contents of the individual tables are stored in JSON format. At the top level, the JSON file is an object. Each table is stored as a key-value pair, where the key is the database name, and the value is an array of table records. Each table record is itself an object of key-value pairs, where the keys are the table columns, and the values are the corresponding values in the record. The dataset is centered around the evidence, which represents one piece of historical evidence as extracted from one or more sources. An evidence must contain a reference to a place and a religion, and may reference a person and one or more time spans. Instances are used to connect evidences to places, persons, and religions; and additional metadata are stored individually in the instances. Time instances are connected to the evidence via a time group to allow for more than one time span per evidence. An evidence is connected via one or more source instances to one or more sources. Evidences can also be tagged with one or more tags via the tag_evidence table. Places and persons have a type, which are defined in the place type and person type tables. Alternative names for places are stored in the name_var table with a reference to the respective language. For places and persons, references to URIs in other data collections (such as Syriaca.org or the Digital Atlas of the Roman Empire) are also stored, in the external_place_uri and external_person_uri tables. Rules for how to construct the URIs from the fragments stored in the last-mentioned tables are controlled via the uri_namespace and external_database tables. Part of the project was to extract historical evidence from digitized texts, via annotations. Annotations are placed in a document, which is a digital version of a source. An annotation can be one of the four instance types, thereby referencing a place, person, religion, or time group. A reference to the annotation is stored in the instance, and evidences are constructed from annotations by connecting the respective instances in an evidence tuple.

This dataset is about books and is filtered where the book subjects is Science-Islamic countries-History, featuring 9 columns including author, BNB id, book, book publisher, and book subjects. The preview is ordered by publication date (descending).

Approximate Boundaries and Dates of Silk Road Empires

No description was included in this Dataset collected from the OSF

This dataset is about book subjects and is filtered where the book subject is Jews-Islamic countries-History, featuring one column called book subject. The preview is ordered by number of books (descending).

This dataset contains Food Prices data for Iran (Islamic Republic of), sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.

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

Improving health is central to the Millennium Development Goals, and the public sector is the main provider of health care in developing countries. To reduce inequities, many countries have emphasized primary health care, including immunization, sanitation, access to safe drinking water, and safe motherhood initiatives. Data here cover health systems, disease prevention, reproductive health, nutrition, and population dynamics. Data are from the United Nations Population Division, World Health Organization, United Nations Children's Fund, the Joint United Nations Programme on HIV/AIDS, and various other sources.

This dataset is about books and is filtered where the book subjects includes Europe-Foreign relations-Islamic countries, featuring 9 columns including author, BNB id, book, book publisher, and book subjects. The preview is ordered by publication date (descending).

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

This dataset is about books and is filtered where the book subjects is Great Britain-Relations-Islamic countries, featuring 9 columns including author, BNB id, book, book publisher, and book subjects. The preview is ordered by publication date (descending).

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

Data here cover child labor, gender issues, refugees, and asylum seekers. Children in many countries work long hours, often combining studying with work for pay. The data on their paid work are from household surveys conducted by the International Labour Organization (ILO), the United Nations Children's Fund (UNICEF), the World Bank, and national statistical offices. Gender disparities are measured using a compilation of data on key topics such as education, health, labor force participation, and political participation. Data on refugees are from the United Nations High Commissioner for Refugees complemented by statistics on Palestinian refugees under the mandate of the United Nations Relief and Works Agency.

In December 2006, Environics Research conducted a major national survey of Muslims and multiculturalism in Canada, as part of its ongoing syndicated FOCUS CANADA research program. The research consisted of two national telephone public opinion surveys: - National survey with a representative sample of 2,045 Canadians (18 years plus) - National survey with a representative sample of 500 Muslims living in Canada The focus of this research is on the presence and experience of Muslims in this country, and draws direct comparisons with similar research conducted in 13 other countries by the Pew Research Center (many of the same research questions were used to provide for direct country-to-country comparisons). The Pew research included Muslim over-samples in Great Britain, France, Germany and Spain. Some of the topics covered in this research: General Public: - General attitudes about immigration in Canada - Personal contact with different ethnic groups (including Muslims) - Perceived discrimination against ethnic groups - General attitudes towards Muslims - Concerns about Muslims and terrorism - Islamic identity and extremism among Muslims - Integration of Muslims and other ethnic minorities into Canadian society - Canadian foreign policy and the mission in Afghanistan Muslims - Experience of being Muslim in Canada - Concern about the future of Muslims in Canada - Self identification within the Muslim community - The role and rights of women in ethnic communities - Islamic identity and extremism among Muslims - Integration of Muslims and other ethnic minorities into Canadian society - Canadian foreign policy and the mission in Afghanistan Please note, the cases in this dataset are comprised only of Muslim respondents. Data from the other component of this survey - the survey of the general population - may be found in the dataset titled "EFC064." Environics Focus Canada - Survey of Muslims in Canada (Dec 2006) Study Overview: http://queensu.ca/cora/_files/Environics%20Muslims%20in%20Canada%20-%20Overview.pdf Environics Focus Canada - Survey of Muslims in Canada (Dec 2006) Methodology: http://queensu.ca/cora/_files/Methodology%20for%20Survey%20of%20Muslims.pdf Copyright (c) 2007 - Environics Research Group

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.

Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)

-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method.

Data for earlier dates is available directly from WorldPop.

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Climate Change, External Debt, Trade.

"Iran (Islamic Republic of) administrative level 0-2 boundaries (COD-AB) dataset.

The date that these administrative boundaries were established is unknown.

NOTE: COD-PS incluces alternate UNHCR P-codes.

This COD-AB was most recently reviewed for accuracy and necessary changes in October 2024. The COD-AB requires improvements.

Sourced from UNHCR

Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID.

This COD-AB is suitable for database or GIS linkage to the Iran (Islamic Republic of) COD-PS.

No edge-matched (COD-EM) version of this COD-AB has yet been prepared.

Please see the COD Portal.

Administrative level 1 contains 31 feature(s). The normal administrative level 1 feature type is ""provincen (ostān)"".

Administrative level 2 contains 429 feature(s). The normal administrative level 2 feature type is ""district (baxš)"".

Recommended cartographic projection: Asia South Albers Equal Area Conic

This metadata was last updated on January 9, 2025."

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.

While it is widely accepted that conflict and large-scale migrations over the past century, of minorities and Muslims, has led to 'decosmopolitanisation' of Muslim Asia’s cities, we have also seen that interreligious relations actually persist, but often unrecognised, in older and newer diasporic contexts, and in appeals to a shared urban heritage. The historic presence of ethno-religious minorities in Muslim Asia’s urban centres is also a source of intellectual activity, political debate, and cultural imagination in the region. Influential actors–merchants, intellectuals, artists, and politicians - advance geographical imaginaries that contest both modern conceptions of the secular nation-state as well as sectarianised notions of culture and polity. The cultural basis for such imaginaries is often to be found in historical and cultural imaginings of Asia’s cities which have been ‘branded’ by national and international actors as ‘cultural heritage’ sites. This comparative research programme proposes to analyse the ways in which both everyday living and projects of the imagination invoke urban imaginaries, and the extent to which these transcend (or reinforce) religious, sectarian, national and ethnic boundaries. It will deliver a novel approach to the significance of urban heritage to politics and culture in Muslim Asia, challenge one-dimensional understandings of Muslim-non-Muslim relationships, and respond to an urgent need for younger generations of the diasporas understudy to have access to material relating to their backgrounds.Afterlives will research the persistence or avoidance of interreligious relations between Muslims and non-Muslims and the modes by which these elicit or invoke shared urban sensibilities. We will conduct ethnographic fieldwork amongst migrant minority and Muslim communities in London, New York, Vienna, Jerusalem, Istanbul and Vienna and in 3 of the 4 selected cities. The project will document the vitality of legacies of cosmopolitan urban living and the role in these of diasporic communities, and analyse in Muslim Asia how projects of heritage reproduce social boundaries (e.g. between diasporic and settled communities, and urban and non-urban/ not fully urban citizens). Doing so will develop a new and different approach to interreligious relationships that illuminates the importance of shared attachment to urban centres, and enables greater sensitivity in future interventions in the field of tangible and intangible heritage preservation and restoration. First, the project will generate empirical data on the temporal and geographic dispersal of the cities under-study. We will map flows of people through space and time by conducting textual, archival and visual research in countries of origin and sites of migration. Second, Afterlives will investigate how projects of imagination relating to historic centres are produced and sustained, and explore how they point to diversity in Muslim Asia's cultural imaginaries. To do so we will investigate emergent configurations of culture, history, identity and geography in Muslim Asia by exploring the significance of relationships and exchanges between Muslim and ethno-religious minorities to imagination in the region today. We will: interview key actors in the production of imaginaries, focusing especially on cultural elites (intellectuals, musicians, artists, poets, politicians and activists); record the genres (visual, literary, musical, culinary) where such imaginations are generated and sustained and explore ethnographically the sites (digital, political, scholarly, and social) in which they are performed and consumed; explore the implications of architectural reconstruction on such imaginaries by visiting key sites, and interview relevant heritage specialists, local and national policy-makers, pilgrims/tourists, and custodians; trace the use in projects of imagination of knowledge about tangible and intangible heritage preservation. Third, given declining levels of religious diversity in urban centres, it is oft assumed that Silk Road-era commercial relationships between Muslim and non-Muslim merchants are no longer of relevance. Yet our recent fieldwork suggests otherwise: Muslim and Sikh traders from Afghanistan interacted from the 1980s onwards in London and Moscow, for example. To explore such interreligious commercial relationships we will carry out in-depth ethnographic work with diasporic merchants in key trading sites - markets, shops and warehouses - and explore documentary and archival material in the form of autobiographies of merchants and company records. Fourth, to research the 'doing' of connectivity, and the role played by tacit modes of acting across lines of difference in sustaining cultural and religious sensibilities of urban living, we will focus on specific practices, rituals, and expressions of sociality in diaspora communities. We will ask if gender, migration histories, generation, and class position influence the distribution of this skill, exploring the role it has played in facilitating and constraining legacies of collective urban living in diasporas. Beyond our partners, we will share findings with organisations that implement heritage projects (e.g. Aga Khan Foundation, UNESCO, UN Habitat, and Ministry of Culture, Afghanistan), that manage diaspora-homeland relations (e.g. Ministry of Foreign Affairs, Afghanistan;) that work on regional conflicts (e.g. Foreign and Commonwealth Office); also with the communities under study and broader publics. The data collated is largely gathered through individuals with members of diaspora Afghans from a variety of religious backgrounds, including those identifying as Muslim, Sikh, Hindu and Jewish. The study focuses on diaspora settings in which these communities are especially established, notably London and New York. Individuals were selected to be interviewed on the basis of their playing an active role in the life of the communities and also on the basis of ethnographic fieldwork undertaken by the researcher. The data also includes a discussion of the ethnographic work undertaken by the researcher in the form of a series of reports. Included also are notes in a book on Afghanistan's Hindu community (translated from Persian).

The data were collected from respondents (school administrators, teachers, parents, university students, and school students) from 14 countries in 2018-2019 as part of Advancing Education in Muslim Societies initiative of The International Institute of Islamic Thought . Data file is provided in SPSS (.sav) and CSV formats.