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TwitterAccording to a survey conducted by India's fifth National Family Health Survey (NFHS-5) in 2021 stated that about 36 percent of Christian men consumed alcohol in India. In contrast, over six percent of Muslim men consumed alcohol.
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TwitterAccording to a survey on app usage around Diwali in 2022, the amount of time people in India spent using shopping apps increased significantly in the four weeks after Diwali. Weekdays during that period recorded a 60 percent growth in shopping app sessions, while weekends saw a session growth of 25 percent.
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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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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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TwitterA survey conducted across India in 2024 found that over 57 percent of the respondents agreed that the scope of reservations should be expanded to both Hindus and Muslims in the Scheduled caste (SC) category in government jobs. 19 percent believed that only Hindus should be given reservations in the category.
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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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TwitterA survey conducted across India in 2024 found that ** percent of Hindu population and ** percent of minorities agree that India belongs to all religions equally. The survey reflects citizens' faith in the secular and pluralistic fabric of the country.
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TwitterAccording to a survey conducted in 2020, ** percent of Indian Americans in the United States said that they identified as Hindu while ** percent said that they identified as Muslim. A further **** percent said that they identified with no religion in particular.
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This dataset provides comprehensive census data at the district level for India. It includes detailed demographic, religious, educational, and workforce-related attributes, making it a rich resource for socio-economic analysis.
District_code: A unique numeric code for each district. State_name: Name of the state to which the district belongs. District_name: Name of the district.
Population: Total population of the district. Male: Total male population in the district. Female: Total female population in the district.
Literate: Total number of literate individuals in the district.
Workers: Total number of workers in the district. Male_Workers: Total number of male workers in the district. Female_Workers: Total number of female workers in the district. Cultivator_Workers: Number of workers engaged as cultivators. Agricultural_Workers: Number of workers engaged in agricultural labor. Household_Workers: Number of workers engaged in household industries.
Hindus: Total number of Hindus in the district. Muslims: Total number of Muslims in the district. Christians: Total number of Christians in the district. Sikhs: Total number of Sikhs in the district. Buddhists: Total number of Buddhists in the district. Jains: Total number of Jains in the district.
Secondary_Education: Number of individuals with secondary education. Higher_Education: Number of individuals with higher education qualifications. Graduate_Education: Number of individuals with graduate-level education.
Age_Group_0_29: Population in the age group 0–29 years. Age_Group_30_49: Population in the age group 30–49 years. Age_Group_50: Population aged 50 years and above.
Number of Districts: 640 Number of Columns: 25 Non-null Values: All columns are complete with no missing data. Detailed breakdown of population by gender, age group, literacy levels, and workforce distribution. Religious composition and education statistics are also included for each district.
Data Analysis and Visualization:
Explore patterns in population distribution, literacy rates, workforce composition, and religious demographics. Machine Learning Applications:
Build predictive models to classify districts or forecast demographic trends. Social Research:
Investigate correlations between education levels, workforce participation, and religion. Policy Planning:
Help policymakers target specific demographics or regions for intervention. Educational Insights:
Analyze the impact of education levels on workforce participation or literacy.
Total Rows: 640 Total Columns: 25 This dataset provides a unique opportunity to understand India's socio-economic and demographic composition at a granular district level.
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TwitterA survey conducted across India in 2024 found that ** percent of citizens believed India belonged to all religions and not just Hindus. The survey reflects citizens' faith in the secular and pluralistic fabric of the country.
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Census: Population: by Religion: Muslim: Uttarakhand data was reported at 1,406,825.000 Person in 03-01-2011. This records an increase from the previous number of 1,012,141.000 Person for 03-01-2001. Census: Population: by Religion: Muslim: Uttarakhand data is updated decadal, averaging 1,209,483.000 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 1,406,825.000 Person in 03-01-2011 and a record low of 1,012,141.000 Person in 03-01-2001. Census: Population: by Religion: Muslim: Uttarakhand data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE003: Census: Population: by Religion: Muslim.
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TwitterAccording to a survey conducted in 2020, 54 percent of Indian Americans in the United States said that they identified as Hindu while 13 percent said that they identified as Muslim. A further nine percent said that they identified with no religion in particular.
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TwitterAccording to a survey conducted in 2020, 58 percent of Indian Americans who identified as Christian said that they attended religious services once or several times a week in comparison to 48 percent of Indian Americans who were Muslim and 21 percent of Indian Americans who were Hindu.
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This dataset provides the labour force participation rates (LFPR), in percentage terms, for major religious groups in India, based on usual status (ps+ss). It is sourced from the PLFS reports conducted by the Ministry of Statistics and Programme Implementation. The years covered in the survey are from July to June. For instance, 2023-24 refers to the period July 2023 to June 2024 and likewise for other years.
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Context
This list ranks the 7 cities in the Christian County, IL by Indian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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Census: Population: by Religion: Muslim: Uttarakhand: Male data was reported at 740,057.000 Person in 03-01-2011. This records an increase from the previous number of 539,740.000 Person for 03-01-2001. Census: Population: by Religion: Muslim: Uttarakhand: Male data is updated decadal, averaging 639,898.500 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 740,057.000 Person in 03-01-2011 and a record low of 539,740.000 Person in 03-01-2001. Census: Population: by Religion: Muslim: Uttarakhand: Male data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE003: Census: Population: by Religion: Muslim.
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TwitterThis statistic shows the religious affiliation of the population in India as of 2011. In 2011, 79.8 percent of the total Indian population were Hindu.
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Context
This list ranks the 4 cities in the Christian County, KY by Indian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates, including:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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TwitterReligion by Indigenous identity, age and gender for the population in private households.
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Census: Population: by Religion: Muslim: Uttarakhand: Female data was reported at 666,768.000 Person in 03-01-2011. This records an increase from the previous number of 472,401.000 Person for 03-01-2001. Census: Population: by Religion: Muslim: Uttarakhand: Female data is updated decadal, averaging 569,584.500 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 666,768.000 Person in 03-01-2011 and a record low of 472,401.000 Person in 03-01-2001. Census: Population: by Religion: Muslim: Uttarakhand: Female data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE003: Census: Population: by Religion: Muslim.
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TwitterAccording to a survey conducted by India's fifth National Family Health Survey (NFHS-5) in 2021 stated that about 36 percent of Christian men consumed alcohol in India. In contrast, over six percent of Muslim men consumed alcohol.