The World Religion Project (WRP) aims to provide detailed information about religious adherence worldwide since 1945. It contains data about the number of adherents by religion in each of the states in the international system. These numbers are given for every half-decade period (1945, 1950, etc., through 2010). Percentages of the states' populations that practice a given religion are also provided. (Note: These percentages are expressed as decimals, ranging from 0 to 1, where 0 indicates that 0 percent of the population practices a given religion and 1 indicates that 100 percent of the population practices that religion.) Some of the religions (as detailed below) are divided into religious families. To the extent data are available, the breakdown of adherents within a given religion into religious families is also provided.

The project was developed in three stages. The first stage consisted of the formation of a religion tree. A religion tree is a systematic classification of major religions and of religious families within those major religions. To develop the religion tree we prepared a comprehensive literature review, the aim of which was (i) to define a religion, (ii) to find tangible indicators of a given religion of religious families within a major religion, and (iii) to identify existing efforts at classifying world religions. (Please see the original survey instrument to view the structure of the religion tree.) The second stage consisted of the identification of major data sources of religious adherence and the collection of data from these sources according to the religion tree classification. This created a dataset that included multiple records for some states for a given point in time. It also contained multiple missing data for specific states, specific time periods and specific religions. The third stage consisted of cleaning the data, reconciling discrepancies of information from different sources and imputing data for the missing cases.

The Global Religion Dataset: This dataset uses a religion-by-five-year unit. It aggregates the number of adherents of a given religion and religious group globally by five-year periods.

World Religions Across Regions

Analyzing Adherence Across Regions, States and the Global System

By Correlates of War Project [source]

About this dataset

The World Religion Project (WRP) is an ambitious endeavor to conduct a comprehensive analysis of religious adherence throughout the world from 1945 to 2010. This cutting-edge project offers unparalleled insight into the religious behavior of people in different countries, regions, and continents during this time period. Its datasets provide important information about the numbers and percentages of adherents across a multitude of different religions, religion families, and non-religious affiliations.

The WRP consists of three distinct datasets: the national religion dataset, regional religion dataset, and global religion dataset. Each is focused on understanding individually specific realms for varied analysis approaches - from individual states to global systems. The national dataset provides data on number of adherents by state as well as percentage population practicing a given faith group in five-year increments; focusing attention to how this number evolves from nation to nation over time. Similarly, regional data is provided at five year intervals highlighting individual region designations with one modification – Pacific Ocean states have been reclassified into their own Oceania category according to Country Code Number 900 or above). Finally at a global level – all states are aggregated in order that we may understand a snapshot view at any five-year interval between 1945‐2010 regarding relationships between religions or religio‐families within one location or transnationally.

This project was developed in three stages: firstly forming a religions tree (a systematic classification), secondly collecting data such as this provided by WRP according to that classification structure – lastly cleaning the data so discrepancies may be reconciled and imported where needed with gaps selected when unknown values were encountered during collection process . We would encourage anyone wishing details undergoing more detailed reading/analysis relating various use applications for these rich datasets - please contact Zeev Maoz (University California Davis) & Errol A Henderson _(Pennsylvania State University)

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How to use the dataset

The World Religions Project (WRP) dataset offers a comprehensive look at religious adherence around the world within a single dataset. With this dataset, you can track global religious trends over a period of 65 years and explore how they’ve changed during that time. By exploring the WRP data set, you’ll gain insight into cross-regional and cross-time patterns in religious affiliation around the world.

Research Ideas

• Analyzing historical patterns of religious growth and decline across different regions
• Creating visualizations to compare religious adherence in various states, countries, or globally
• Studying the impact of governmental policies on religious participation over time

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: WRP regional data.csv | Column name | Description | |:-----------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------| | Year | Reference year for data collection. (Integer) | | Region | World region according to Correlates Of War (COW) Regional Systemizations with one modification (Oceania category for COW country code ...

World religion data in this dataset is from the World Religion Database.The map shows the percentage of the majority religion by provinces/states and also included in the database is Christian percentage by provinces/states. Boundaries are based on Natural Earth, August, 2011 modified to match provinces in the World Religion Database.*Originally titled

"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)

Initial data source was UNESCO web site, supplemented by individual work on different countires/regions;A database of cultural heritage sites assembled by volunteers at the Archaeological Computing Laboratory, University of Sydney

This folder consists of files for a case study of the methods used by Pew Research Center to make direct and indirect estimates for our report on The Religious Composition of the World's Migrants. Two subfolders demonstrate the procedures of the algorithm using two statistical programs, which mirror one another.

A cross-national data set of 21 variables was assembled for 212 countries from three sources (Barro and Lee 1994; Gordon 2005; CIA World Fact Book 2005). Our data set includes several proxy measures for national wealth, cultural diversity, social instability (both at national and international levels), and demography. Separate diversity measures were calculated for three different cultural domains, namely language, religion and ethnic groups . In addition, wealth variables (per capita GDP, and GINI, the coefficient of income inequality) were assembled, along with indicators of societal functioning drawn from the literature (especially Barro and Lee 1994), including indices of political rights (PRIGHTSB), revolutions and coups d'états (REVCOUP), and political instability (PINSTAB). Measures of international conflict were extracted from the social science literature, and the following were used: the proportion of the time between 1960-85 the country was involved in an external war (WARTIME), the number of international disputes in which the country was involved (TOTINTDISP), and an index of total military expenditure (TOTMILITEXP). Possible confounding variables such as population size (POPSIZE) and the number of international borders (NBINTBORDERS) were also included.

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.

The RNCw-Data Set comprises multiple variables relating to the role of national identity and of religion in the national constitutions of 189 countries worldwide. These variables were content-coded from those articles in the constitution texts that refer directly and explicitly to ‘religion’ and ‘nation’.

Countries covered in the data set needed to both be officially recognized by the UN and have a written, single-document constitution in order to be included. The countries not included (for different reasons throughout the list) are: Canada, Congo, Israel, Kosovo, New Zealand, Puerto Rico, San Marino, Saudi Arabia, South Sudan, Sudan, Taiwan and the United Kingdom.

The most recent text versions of constitutions considered here where those of the end of 2016, i.e., we are looking at a snapshot of the included constitutions as the stood in 2016. The analysed constitution texts were all pulled from constituteproject.org, which provided us with the English translations for all countries (except Congo, which is not available in English and thus was excluded from our data set).

Barro and McCleary (2003, Religion and economic growth across countries. American Journal of Sociology 68: 760-781) is a key research contribution in the new literature exploring the macroeconomic effects of religious beliefs. This paper represents an effort to evaluate the strength of their claims. We evaluate their results in terms of replicability and robustness. Overall, their analysis generally meets the standard of statistical replicability, though not perfectly. On the other hand, we do not find that their results are robust to changes in their baseline statistical specification. When model-averaging methods are employed to integrate information across alternative statistical specifications, little evidence survives that religious variables help to predict cross-country income differences.

This file assembles data from multiple sources on 256 countries and territories, and also aggregates this data globally and by 22 world regions. The file presents most of the data available on the ARDA National Profiles as of 2018 in a single downloadable dataset. Many of the measures are from the ARDA's coding of the 2008 US State Department's International Religious Freedom (IRF) Reports. This coding produced data on 198 different countries and territories (see the Summary file for the International Religious Freedom Data, 2008 for a list of countries coded, available for download from the ARDA), but excluded the United States. In addition, this project assembled (with permission) other cross-national measures of interest to researchers on religion, economics, and politics. They include adherent information from the World Christian Database, scales from Freedom House, the Religion and State Project, the Center for Systemic Peace, the Heritage Foundation, the Correlates of War Project, the Varieties of Democracy Project, the CIRI Human Rights Data Project, and various socio-economic measures from the United Nations, World Bank, and the CIA's World Factbook. The source of each variable in this dataset is acknowledged in the variable's description, except in the case of those variables generated by ARDA researchers' coding of the Department of State's IRF Reports.

The "Religion and Rule of Law" data set was assembled from multiple data sources to aid the study of connections between religion, corruption, and the rule of law. In the resulting data file, each of the 236 cases represents a country or territory. The data file includes basic country identifiers, governance variables, religious tradition variables, demographic and developmental variables, and geography variables. Indices regarding the rule of law and the level of corruption were generated based on the World Bank's Governance Research Indicators Country Snapshot (GRICS) data set (Kaufman, Kraay, and Mastuzzi 2005). Data on the GDP per capita in constant PPP dollars and related variables are based on data from the CIA's World Factbook 2003. In addition, data on each country's largest religious groups in the years 1900 and 2000 stem from Barrett, Kurian, and Johnson (2001). Sources for all variables are shown in the attached PDF codebook.

This dataset is about books. It has 1 row and is filtered where the book is Islam, Romanism, Judaism and Christian Zionism : allies and opponents : seeking political and religious power and dominance in the global village : all serving a new world order against Christ : [six bulletins and essays. It features 7 columns including author, publication date, language, and book publisher.

Initial data source was UNESCO web site, supplemented by individual work on different countires/regions;A database of cultural heritage sites assembled by volunteers at the Archaeological Computing Laboratory, University of Sydney;Database is now availabe online through ECAI and can be updated through a password-controlled web browser interface

A computerized data set of demographic, economic and social data for 227 countries of the world. Information presented includes population, health, nutrition, mortality, fertility, family planning and contraceptive use, literacy, housing, and economic activity data. Tabular data are broken down by such variables as age, sex, and urban/rural residence. Data are organized as a series of statistical tables identified by country and table number. Each record consists of the data values associated with a single row of a given table. There are 105 tables with data for 208 countries. The second file is a note file, containing text of notes associated with various tables. These notes provide information such as definitions of categories (i.e. urban/rural) and how various values were calculated. The IDB was created in the U.S. Census Bureau''s International Programs Center (IPC) to help IPC staff meet the needs of organizations that sponsor IPC research. The IDB provides quick access to specialized information, with emphasis on demographic measures, for individual countries or groups of countries. The IDB combines data from country sources (typically censuses and surveys) with IPC estimates and projections to provide information dating back as far as 1950 and as far ahead as 2050. Because the IDB is maintained as a research tool for IPC sponsor requirements, the amount of information available may vary by country. As funding and research activity permit, the IPC updates and expands the data base content. Types of data include: * Population by age and sex * Vital rates, infant mortality, and life tables * Fertility and child survivorship * Migration * Marital status * Family planning Data characteristics: * Temporal: Selected years, 1950present, projected demographic data to 2050. * Spatial: 227 countries and areas. * Resolution: National population, selected data by urban/rural * residence, selected data by age and sex. Sources of data include: * U.S. Census Bureau * International projects (e.g., the Demographic and Health Survey) * United Nations agencies Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08490

This file assembles data from multiple sources on 256 countries and territories, and also aggregates this data globally and by 22 world regions. The file presents most of the data available on the ARDA National Profiles as of 2018 in a single downloadable dataset. Many of the measures are from the ARDA's coding of the 2008 US State Department's International Religious Freedom (IRF) Reports. This coding produced data on 198 different countries and territories (see the Summary file for the International Religious Freedom Data, 2008 for a list of countries coded, available for download from the ARDA), but excluded the United States. In addition, this project assembled (with permission) other cross-national measures of interest to researchers on religion, economics, and politics. They include adherent information from the World Christian Database, scales from Freedom House, the Religion and State Project, the Center for Systemic Peace, the Heritage Foundation, the Correlates of War Project, the Varieties of Democracy Project, the CIRI Human Rights Data Project, and various socio-economic measures from the United Nations, World Bank, and the CIA's World Factbook. The source of each variable in this dataset is acknowledged in the variable's description, except in the case of those variables generated by ARDA researchers' coding of the Department of State's IRF Reports.

This file assembles data from multiple sources, but many of the measures are from the ARDA's coding of the 2003 US State Department's International Religious Freedom Reports. This coding produced data on 195 different countries and territories (see Grim and Finke 2006 for a list of countries coded), but excluded the United States. Additional data on religious regulation and favoritism in the smaller countries not covered by the State Department Reports were provided by researchers at the World Christian Database. In addition, this project assembled (with permission) other cross-national measures of interest to researchers on religion, economics, and politics. They include adherent information from the World Christian Database, scales from Freedom House and the Heritage Foundation, and various socio-economic measures from the United Nations. Measures for religious persecution (AESTIMA) and ethnic identity (DETHNIC) were added to this file in August 2007.

(Note: This dataset was previously available for download under the title "Cross-National Data: Religion Indexes, Religious Adherents, and Other Data.")

(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.

This dataset contains the Arab West Report special reports published in the year 2003. The majority of the material in this dataset focuses on in depth analysis of Muslim-Christian relations in Egypt, however, Judaism is also the subject of a great deal of analysis in these reports. A number of the reports address relations between religious minorities such as 'dhimmi' status, and the complex relationship between national identity and religious identity. A number of reports are also media critique, a staple of AWR’s work.

The AWR reports in this dataset also describe the early work of AWR, and introduce several of its early board members and affiliates. Authors include:
- Cornelis Hulsman, Drs.
- Sunni M. Khalid
- Jeff Adams (Dr. Rev.)
- Larry F. Levine (Dr.)
- Victor M. Ordonez
- Michael Reimer (Dr.)
- Wolfram Reiss, (Rev. Dr.)
- Johanna Pink (Dr.)
- Nirmīn Fawzī
- Hedda Klip
- Munīr Hannā Anīs Armanius (Bishop)
- Cassandra Chambliss
- Adam Hannestad
- David Weaver
- Konrad Knolle (Rev.)
- Usamah Wadi‘ al-Ahwani
- Marjam Van Oort
- Nawal al-Sa‘dawi
- M.E. van Gent
- Subhi ‘Uwaydah, (Rev. Dr.)
- Andreas Van Agt, (Dr.)

Institutional authors include AWR Editorial Board, AWR Board of Advisors, Center for the Study of Christianity in Islamic Lands (CSCIL), and EKD Presservice.

All reports are written in English, though some reports feature Arabic text or cite Arabic sources.

Team including job titles:

Sparks, MA M.R. (Center for Intercultural Dialogue and Translation (CIDT))
Adams, Rev.Dr. J. (Religious News Service from the Arab-World (RNSAW))
Levine, Dr. L.
Khalid, S.
Reimer, Dr. M. (American University in Cairo)
Ordonez, Dr. V.
Reiss, Rev. Dr. W.
Pink, Dr. J.
Fawzi, N. (Religious News Service from the Arab World (RNSAW))
Klip, Rev. H. (Swiss Reformed Church)
Hannā Anīs Armanius, Bishop M. (Episcopal Church)
Chambliss, C. (Intern-Center for Arab-West Understanding (CAWU))
Hannestad, A.
Weaver, D. (Church World Service, USA)
Knolle, Rev. K. (German Reformed Church in Cairo)
Al-Ahwani, U. (Religious News Service from the Arab-World (RNSAW))
Oort, M. Van (Roos Foundation)
Al-Sa'adawi, N.
Gent, M.E. Van
Uwaydah, Rev. Dr. S. (Coptic Evangelical Church Ismailia, Egypt)
van Agt, Dr. A.
EKD Press Service
Center for the Study of Christianity in Islamic Lands (CSCIL)
AWR Editorial Board
AWR Board of Advisors
Hulsman, Drs. C. Mr. (Center for Intercultural Dialogue and Translation

This dataset contains the Arab-West Report special reports that were published in 1999. At the time the articles were published, Arab-West Report did not exist. Religious News Service from the Arab World, the organization which would ultimately become Arab-West Report, published the following documents. The dataset contains primarily the writings of Cornelis Hulsman, Drs., reporting on incidents of Muslim-Christian tensions in Egypt. In addition to the reports and journalistic work of Hulsman, the dataset also contains commentary from RSNAW on press conferences and published material from other sources (reviews/critique of articles, books, etc). The dataset also contains a series of three articles that deal with the life and work of Dr. William Qilada, who passed away in 1999. The authors of this material include Cornelis Hulsman, Drs., Fr. Dr. Christiaan van Nispen, Revd. Ayman Louis, Victor Habib, Dr. Vladimir Beliakov, Dr. Naṣr Ḥāmid Abū Zayd, and Ramzi Zaqlamah. The dataset also features one institutional author, the Press Office of Lambeth Palace.