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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
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
- 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...
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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".
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. |
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. |
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License information was derived automatically
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.
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Facebook
TwitterBy Throwback Thursday [source]
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
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
- 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...