Religious Populations Worldwide

Religious Populations Worldwide by Year and Category

By Throwback Thursday [source]

About this dataset

The dataset includes data on Christianity, Islam, Judaism, Buddhism, Hinduism, Sikhism, Shintoism, Baha'i Faith, Taoism, Confucianism, Jainism and various other syncretic and animist religions. For each religion or denomination category, it provides both the total population count and the percentage representation in relation to the overall population.

Additionally, - Columns labeled with Population provide numeric values representing the total number of individuals belonging to a particular religion or denomination. - Columns labeled with Percent represent numerical values indicating the percentage of individuals belonging to a specific religion or denomination within a given population. - Columns that begin with ** indicate primary categories (e.g., Christianity), while columns that do not have this prefix refer to subcategories (e.g., Christianity - Roman Catholics).

In addition to providing precise data about specific religions or denominations globally throughout multiple years,this dataset also records information about geographical locations by including state or country names under StateNme.

This comprehensive dataset is valuable for researchers seeking information on global religious trends and can be used for analysis in fields such as sociology, anthropology studies cultural studies among others

How to use the dataset

Introduction:

• Understanding the Columns:

• Year: Represents the year in which the data was recorded.

• StateNme: Represents the name of the state or country for which data is recorded.

• Population: Represents the total population of individuals.

• Total Religious: Represents the total percentage and population of individuals who identify as religious, regardless of specific religion.

• Non Religious: Represents the percentage and population of individuals who identify as non-religious or atheists.

• Identifying Specific Religions: The dataset includes columns for different religions such as Christianity, Judaism, Islam, Buddhism, Hinduism, etc. Each religion is further categorized into specific denominations or types within that religion (e.g., Roman Catholics within Christianity). You can find relevant information about these religions by focusing on specific columns related to each one.

• Analyzing Percentages vs. Population: Some columns provide percentages while others provide actual population numbers for each category. Depending on your analysis requirement, you can choose either column type for your calculations and comparisons.

• Accessing Historical Data: The dataset includes records from multiple years allowing you to analyze trends in religious populations over time. You can filter data based on specific years using Excel filters or programming languages like Python.

• Filtering Data by State/Country: If you are interested in understanding religious populations in a particular state or country, use filters to focus on that region's data only.

Example - Extracting Information:

Let's say you want to analyze Hinduism's growth globally from 2000 onwards:

• Identify Relevant Columns:
• Year: to filter data from 2000 onwards.

• Hindu - Total (Percent): to analyze the percentage of individuals identifying as Hindus globally.

• Filter Data:

• Set a filter on the Year column and select values greater than or equal to 2000.

• Look for rows where Hindu - Total (Percent) has values.

• Analyze Results: You can now visualize and calculate the growth of Hinduism worldwide after filtering out irrelevant data. Use statistical methods or graphical representations like line charts to understand trends over time.

Conclusion: This guide has provided you with an overview of how to use the Rel

Research Ideas

• Comparing religious populations across different countries: With data available for different states and countries, this dataset allows for comparisons of religious populations across regions. Researchers can analyze how different religions are distributed geographically and compare their percentages or total populations across various locations.
• Studying the impact of historical events on religious demographics: Since the dataset includes records categorized by year, it can be used to study how historical events such as wars, migration, or political changes have influenced religious demographics over time. By comparing population numbers before and after specific events, resea...

Global Religious Demographics

Global religious demographics over time

By Throwback Thursday [source]

About this dataset

The dataset contains information on a wide range of religions, including Christianity, Judaism, Islam, Buddhism, Hinduism, Sikhism, Shintoism, Baha'i Faith, Taoism, Confucianism, Jainism, Zoroastrianism, Syncretic Religions (religious practices that blend elements from multiple faiths), Animism (belief in spiritual beings in nature), Non-Religious individuals or those without any religious affiliation.

For each religion and region/country combination recorded in the dataset we have the following information:

• Total population: The total population of the region or country.
• Religious affiliation percentages: The percentages of the population that identify with specific religious affiliations.
• Subgroup populations/percentages: The populations or percentages within specific denominations or sects of each religion.

The dataset also provides additional variables like Year and State Name (for regional data) for further analysis.

How to use the dataset

• Understanding the Columns

  The dataset contains several columns with different categories of information. Here's a brief explanation of some important columns:

  • Year: The year in which the data was recorded.
  • Total Population: The total population of a country or region.
  • State Name (StateNme): The name of the state or region.

  Each religion has specific columns associated with it, such as Christianity, Buddhism, Islam, Hinduism, Judaism, Taoism, Shintoism etc., representing its percentage and population for each category/denomination within that religion.

• Selecting Specific Data

  If you are interested in exploring data related to a particular religion or geographic location:

  • To filter data by Religion: Identify relevant columns associated with that religion such as 'Christianity', 'Buddhism', 'Islam', etc., and extract their respective percentage and population values for analysis.

    Example: If you want to analyze Christianity specifically, extract columns related to Christianity like 'Christianity (Percent)', 'Christianity (Population)', etc.

    Note: There might be multiple columns related to a specific religion indicating different categories or denominations within that religion.

  • To filter data by Geographic Location: Utilize the 'State Name' column ('StateNme') to segregate data corresponding to different states/regions.

    Example: If you want to analyze religious demographics for a particular state/region like California or India:

    i) Filter out rows where State Name is equal to California or India.

    ii) Extract relevant columns associated with your selected religion as mentioned above.

• Finding Trends and Insights

  Once you have selected the specific data you are interested in, examine patterns and trends over time or across different regions.

  • Plotting data using visualizations: Use graphical tools such as line charts, bar charts, or pie charts to visualize how religious demographics have changed over the years or vary across different regions.

  • Analyzing population proportions: By comparing the percentage values of different religions for a given region or over time, you can gather insights into changes in religious diversity.

• Comparing Religions

  If you wish to compare multiple religions:

Research Ideas

• Comparing religious affiliations across different countries or regions: With data on various religions such as Christianity, Islam, Buddhism, Judaism, Hinduism, etc., researchers can compare the religious affiliations of different countries or regions. This can help in understanding the cultural and religious diversity within different parts of the world.
• Exploring the growth or decline of specific religions: By examining population numbers for specific religions such as Jainism, Taoism, Zoroastrianism, etc., this dataset can be used to investigate the growth or decline of these religious groups over time. Researchers can analyze factors contributing to their popularity or decline in particular regions or countries

Acknowledgements

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

License

See the dataset description for more information.

Columns

File: ThrowbackDataThursday 201912 - Religion.csv | Column name...

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."

This dataset contains the estimated religious composition of 198 countries and territories for 2010 to 2050.
The data is sourced from PEW RESEARCH CENTER . In original dataset the number and the percentage share of followers for some religions as "<10000" and "<10%". Because of technical limitations of the visualization tool, these values had to be changed into "10000".

data/rounded_population.csv

This file contains the number followers by religions and region for 2010 to 2050 | Column Name | Description | |-----------------|-------------------------------------------------------------------------------------------------| | Year | The year for which the data is recorded. | | Region | The region to which the country belongs. | | Country | The name of the country. | | Buddhists | The estimated number of Buddhists in the country for the given year. | | Christians | The estimated number of Christians in the country for the given year. | | Folk Religions | The estimated number of followers of folk religions in the country for the given year. | | Hindus | The estimated number of Hindus in the country for the given year. | | Jews | The estimated number of Jews in the country for the given year. | | Muslims | The estimated number of Muslims in the country for the given year. | | Other Religions | The estimated number of followers of other religions in the country for the given year. | | Unaffiliated | The estimated number of people with no religious affiliation in the country for the given year. |

data/rounded_percentage.csv

This file contains the percentage share of followers by religions and region for 2010 to 2050 | Column Name | Description | |------------------|------------------------------------------------------------------------------------------------| | Year | The year for which the data is recorded. | | Region | The region to which the country belongs. | | Country | The name of the country. | | Christians | The percentage share of Christians in the country's population for the given year. | | Muslims | The percentage share of Muslims in the country's population for the given year. | | Unaffiliated | The percentage share of people with no religious affiliation in the country's population. | | Hindus | The percentage share of Hindus in the country's population for the given year. | | Buddhists | The percentage share of Buddhists in the country's population for the given year. | | Folk Religions | The percentage share of followers of folk religions in the country's population. | | Other Religions | The percentage share of followers of other religions in the country's population. | | Jews | The percentage share of Jews in the country's population for the given year. | | All Religions | The percentage share of all religious groups combined in the country's population for the year. |

Dataset

This dataset was created by Christian Reyes

Released under CC0: Public Domain

Contents

Purpose: This article attempts to deal with the events that took place during the advent (reappearance) of Imam Mahdi, the Savior of all the worlds. In fact, in this article, we will discuss the forces that will join him when the Imam of the time appears, and above all, with Imam Hussein and how globalization can pave the way for Imam Mahdi's world revolution. Also, this research was conducted to answer and clarify three questions that stated in the Introduction section. Methods: We performed our methods in 4 stages: Identifying studies, Selection of Studies, Collating Studies, Reporting results. Results: One of the reasons why the Imam of the Age (Imam Mahdi) rises is because of the killing of Imam Hussein, and God has made a firm promise that he will take revenge on any of the perpetrators who led this incident by Imam Mahdi. Imam Hussein also states that the basis of his rising was inviting people to the Quran and the Prophet's Sunnah. Conclusion: God helps Imam Mahdi and Jesus Christ to establish divine government on earth, and this is accepted by Muslims and Christians. Dread and terror, as part of Imam Mahdi's power, will move in advance of his soldiers. Imam Mahdi will appear with the aim of reforming humanity and spreading justice in the world. We hope this article will take an important step in acquainting people with Imam Mahdi and Jesus Christ and paving the ground for their reappearance.

Purpose: This article covers the events and incidents predicted before and after the appearance of Imam Mahdi and Jesus Christ. This article seeks to address the facts and inform you about the system of government of Imam Mahdi and Jesus Christ. Also, miracles and the titles of Imam Mahdi are other topics that were mentioned in this article. Also, this research was conducted to answer and clarify three questions that stated in the Introduction section. Methods: We performed our methods in 4 stages: Identifying studies, Selection of Studies, Collating Studies, Reporting results. Results: Imam Mahdi's world government follows the pattern of the Prophet's method of rule in early Islam. Jesus Christ has a special status in the Quranic literature and in the hadith, and plays a special role in establishing the divine government with Imam Mahdi. Imam Mahdi's system of government is unlike any government the world has ever known. Conclusion: Among the issues that exist in the apocalypse, we are faced with an issue called Imam Mahdi. In fact, Imam Mahdi is the savior of Muslims and all people with Jesus Christ. Imam Mahdi will form a just government in the world like his ancestors. We hope this article will take an important step in acquainting people with Imam Mahdi and Jesus Christ and paving the ground for their reappearance.

Dataset

This dataset was created by John McLaughlin

Released under Data files © Original Authors

Contents

Purpose: In this article, we discussed whether Imam Mahdi is an Antichrist or a Promised Saviour Besides Jesus Christ and other topics. This article attempts to deal with the concepts "Occultation", "Imamat", "Mahdaviat", "Mahdism" and Who is Antichrist that prophesied both in Islam and Christianity. Also, this research was conducted to answer and clarify three questions that stated in the Introduction section. Methods: We performed our methods in 4 stages: Identifying studies, Selection of Studies, Collating Studies, Reporting results. Results: One of the statements of those who say that Imam Mahdi is the Antichrist is that he is not included in other religious books at all and his name is not mentioned in the Quran and the Muslims forcibly accepted him as their Messiah, but in response to these people, it is not the Muslims who are forcibly introducing the Imam Mahdi as a savior, but vice versa. The Quran contains many verses that mention Imam Mahdi. Not only the Quran, but also other religious books mention him, even with the titles and names mentioned in the Qur'an. Conclusion: The coming of Imam Mahdi and Jesus Christ is one of the sure promises of God, and these two saviors will appear with God's help and the will of the people. They fill the earth with justice and establish the government of God. We hope this article will take an important step in acquainting people with Imam Mahdi and Jesus Christ and paving the ground for their reappearance.

About Dataset

The bible is considered a sacred book by Christians. It has a rich & varied history. The first section of the bible (the Old Testament) was originally written in Hebrew and tells the story of the Israelite people. It also includes books of religious law, poetry, and prophesy. The second section of the bible (the New Testament) was originally written in Greek and tells of the life of Jesus Christ and development of the early Christian church.

In the 1600's, the Protestant Reformation drove translations of the bible into local languages. This particular translation was authorized in 1604 by King James I of England for use by the Church of England. It has since grown to become the most popular English version of the bible.

Inspiration

This would be a great dataset for Natural Language Processing (NLP) techniques. Aspects of the bible that would be interesting to identify and explore with NLP:

• The Old Testament contains many examples of a Hebrew literary technique called parallelism.
• There are interesting examples of chiasmus in the bible, where there is symmetry in the text that can even span chapters.
• King Solomon, reported to be the wisest man on earth, authored the book of Proverbs. In the initial chapter, he references the "riddles" of the wise man. Are there riddles to be discovered here?