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TwitterBy Throwback Thursday [source]
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.
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:
- 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
If you use this dataset in your research, please credit the original authors. Data Source
See the dataset description for more information.
File: ThrowbackDataThursday 201912 - Religion.csv | Column name...
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for All Employees: Other Services: Religious Organizations in California (SMU06000008081310001SA) from Jan 1990 to Aug 2025 about religion, CA, services, employment, and USA.
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TwitterThe 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.
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TwitterThis table contains 21 series, with data for years 1871 - 1971 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Persons ...) Geography (1 items: Canada ...) Religious denominations (21 items: Total religious denominations; Baptist; Congregationalist; Anglican ...).
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TwitterData on religion by gender and age for the population in private households in Canada, provinces and territories.
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Twitterhttps://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/D-33363https://dataverse-staging.rdmc.unc.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=hdl:1902.29/D-33363
This survey collected responses from California residents on various issues. These include ratings of elected officials, party and registration status, opinions of possible candidates, proposed ballot initiatives, federal budget deficit, public schools, abortion laws, immigration, and religion. Demographic data were also collected. These include age, education, political ideology, party affiliation, religious preference, income, ethnicity, race, and sex.
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TwitterThe 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 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 National Religion Dataset: The observation in this dataset is a state-five-year unit. This dataset provides information regarding the number of adherents by religions, as well as the percentage of the state's population practicing a given religion.
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TwitterData on religion by visible minority, generation status, age and gender for the population in private households in Canada, provinces and territories, census metropolitan areas, census agglomerations and parts.
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TwitterFinancial overview and grant giving statistics of Darus Suffah A California Religious Corporation
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TwitterThis graph shows the number of religious adherents in the United States in 2010, by state. In 2010, about 16.7 million adherents to various religions were living in California.
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TwitterFinancial overview and grant giving statistics of Al Sabeel A California Religious Co Rporation
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TwitterDonor rate and distribution of average annual donations, for the population aged 15 and over, by religious attendance, Canada and provinces.
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TwitterData on religion by gender and age for the population in private households in census divisions.
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TwitterThis graph shows the number of religious congregations in the United States in 2010, by state. In 2010, 27,848 congregations were listed in Texas.
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Twitterhttps://open.yukon.ca/open-government-licence-yukonhttps://open.yukon.ca/open-government-licence-yukon
Statistics Canada's 2021 Census data regarding the total population in private households by religion. Statistics Canada. 2022. Census Profile. 2021 Census of Population. Statistics Canada Catalogue number 98-316-X2021001. Ottawa. Released October 26, 2022. https://www12.statcan.gc.ca/census-recensement/2021/dp-pd/prof/index.cfm
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TwitterThe 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 Regional Religion Dataset: The unit of analysis is the region, measured at five-year intervals. The Correlates of War regional breakdown is used with one modification: the Oceania category is added for Correlates of War nation numbers 900 and above.
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TwitterFinancial overview and grant giving statistics of First Church of Religious Science Fullerton California
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate consisting of six condensed maps which show the principle religious denominations of the people living in Canada. The 1951 Census of Canada enumerated the religious denomination of which each person was either a member or to which he or she adhered or favoured. This plate shows the distribution of population on this basis of the six religious groups which were most numerous in 1951. These six groups are as follows: Roman Catholic, The United Church of Canada, The Anglican Church of Canada, Presbyterians, Baptists and Lutherans. Each map is accompanied by a pie chart showing the percentage distribution of each denomination by province and territory.
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TwitterData on religion by ethnic or cultural origin, generation status, age and gender for the population in private households in Canada, provinces and territories, census metropolitan areas and parts.
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TwitterVolunteer rate and distribution of volunteer hours, population aged 15 and over, religious attendance, 2013.
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TwitterBy Throwback Thursday [source]
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.
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:
- 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
If you use this dataset in your research, please credit the original authors. Data Source
See the dataset description for more information.
File: ThrowbackDataThursday 201912 - Religion.csv | Column name...