Christianity is the major religion in numerous African countries. As of 2024, around 96 percent of the population of Zambia was Christian, representing the highest percentage on the continent. Seychelles and Rwanda followed with roughly 95 percent and 94 percent of the population being Christian, respectively. While these countries present the highest percentages, Christianity was also prevalent in many other African nations. For instance, in South Africa, Christianity was the religion of nearly 85 percent of the people, while the share corresponded to 71 percent in Ghana. Religious variations across Africa Christianity and Islam are the most practiced religions in Africa. Christian adherents are prevalent below the Sahara, while North Africa is predominantly Muslim. In 2020, Christians accounted for around 60 percent of the Sub-Saharan African population, followed by Muslims with a share of roughly 30 percent. In absolute terms, there were approximately 650 million Christians in the region, a number forecast to increase to over one billion by 2050. In contrast, Islam is most prevalent in North Africa, being the religion of over 90 percent of the population in Algeria, Morocco, Tunisia, and Libya. Christianity in the world As opposed to other religions, Christianity is widely spread across continents worldwide. In fact, Sub-Saharan Africa, Latin America and the Caribbean, and Europe each account for around 25 percent of the global Christian population. By comparison, Asia-Pacific and North America make up 13 percent and 12 percent of Christians worldwide, respectively. In several regions, Christians also suffer persecution on religious grounds. Somalia and Libya presented the most critical situation in Africa in 2021, reporting the strongest suppression of Christians worldwide just after North Korea and Afghanistan.

In 2024, Ethiopia had the largest Christian population in Africa, with around 77.5 million people who identified as Christian. The second highest Christian population was in Nigeria, with 74.4 million people. Christianity has a significant presence in Africa, with its history on the continent dating back to the fourth century in Ethiopia. Furthermore, Christianity has spread throughout Africa with different denominations and traditions, taking root in various regions. Some of the largest Christian denominations in Africa include the Roman Catholic Church, the Anglican Church, and the Pentecostal and Charismatic movements.

About this dataset

Context

The dataset tabulates the population of Pass Christian by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Pass Christian. The dataset can be utilized to understand the population distribution of Pass Christian by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Pass Christian. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Pass Christian.

Key observations

Largest age group (population): Male # 5-9 years (316) | Female # 10-14 years (317). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Pass Christian population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Pass Christian is shown in the following column.
• Population (Female): The female population in the Pass Christian is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Pass Christian for each age group.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Pass Christian Population by Gender. You can refer the same here

Between Oct. 14, 2014, and May 21, 2015, Pew Research Center, with generous funding from The Pew Charitable Trusts and the Neubauer Family Foundation, completed 5,601 face-to-face interviews with non-institutionalized adults ages 18 and older living in Israel.

The survey sampling plan was based on six districts defined in the 2008 Israeli census. In addition, Jewish residents of West Bank (Judea and Samaria) were included.

The sample includes interviews with 3,789 respondents defined as Jews, 871 Muslims, 468 Christians and 439 Druze. An additional 34 respondents belong to other religions or are religiously unaffiliated. Five groups were oversampled as part of the survey design: Jews living in the West Bank, Haredim, Christian Arabs, Arabs living in East Jerusalem and Druze.

Interviews were conducted under the direction of Public Opinion and Marketing Research of Israel (PORI). Surveys were administered through face-to-face, paper and pencil interviews conducted at the respondent's place of residence. Sampling was conducted through a multi-stage stratified area probability sampling design based on national population data available through the Israel's Central Bureau of Statistics' 2008 census.

The questionnaire was designed by Pew Research Center staff in consultation with subject matter experts and advisers to the project. The questionnaire was translated into Hebrew, Russian and Arabic, independently verified by professional linguists conversant in regional dialects and pretested prior to fieldwork.

The questionnaire was divided into four sections. All respondents who took the survey in Russian or Hebrew were branched into the Jewish questionnaire (Questionnaire A). Arabic-speaking respondents were branched into the Muslim (Questionnaire B), Christian (Questionnaire C) or Druze questionnaire (D) based on their response to the religious identification question. For the full question wording and exact order of questions, please see the questionnaire.

Note that not all respondents who took the questionnaire in Hebrew or Russian are classified as Jews in this study. For further details on how respondents were classified as Jews, Muslims, Christians and Druze in the study, please see sidebar in the report titled "http://www.pewforum.org/2016/03/08/israels-religiously-divided-society/" Target="_blank">"How Religious are Defined".

Following fieldwork, survey performance was assessed by comparing the results for key demographic variables with population statistics available through the census. Data were weighted to account for different probabilities of selection among respondents. Where appropriate, data also were weighted through an iterative procedure to more closely align the samples with official population figures for gender, age and education. The reported margins of sampling error and the statistical tests of significance used in the analysis take into account the design effects due to weighting and sample design.

In addition to sampling error and other practical difficulties, one should bear in mind that question wording also can have an impact on the findings of opinion polls.

As of 2010, Christianity was the religion with the most followers worldwide, followed by Islam (Muslims) and Hinduism. In the forty years between 2010 and 2050, it is projected that the landscape of world religions will undergo some noticeable changes, with the number of Muslims almost catching up to Christians. The changes in population sizes of each religious group is largely dependent on demographic development, for example, the rise in the world's Christian population will largely be driven by population growth in Sub-Saharan Africa, while Muslim populations will rise across various regions of Africa and South Asia. As India's population is set to grow while China's goes into decline, this will be reflected in the fact that Hindus will outnumber the unaffiliated by 2050. In fact, India may be home to both the largest Hindu and Muslim populations in the world by the middle of this century.

Bible Study Software Market Outlook

The global Bible Study Software market size was valued at approximately USD 600 million in 2023 and is projected to reach around USD 1 billion by 2032, growing at a compound annual growth rate (CAGR) of 5.5% during the forecast period. The growth of this market is primarily driven by the increasing digitization and the growing popularity of digital religious materials among various user groups.

A significant factor contributing to the growth of the Bible Study Software market is the widespread adoption of digital tools for religious education and personal study. As technology becomes more integrated into daily life, religious communities are increasingly turning to software solutions to facilitate Bible study, making these tools indispensable. Digital platforms offer a variety of features such as search functionalities, cross-referencing, and multimedia integration, which enhance the overall study experience and make the text more accessible to users of all ages and backgrounds.

Additionally, the surge in remote learning and virtual gatherings, spurred by global events such as the COVID-19 pandemic, has further accelerated the demand for Bible study software. Churches and educational institutions have had to adapt to new modes of teaching and community building, which has led to an increased reliance on digital solutions. This transition not only supports regular study but also fosters a sense of community among users who may be geographically dispersed, thus driving market growth.

Increasing smartphone penetration and internet accessibility are also crucial drivers for the Bible Study Software market. With a significant portion of the global population now owning smartphones and having consistent internet access, mobile and web-based applications for Bible study have seen a steep rise in usage. These platforms offer convenience and flexibility, allowing users to engage with religious texts anytime and anywhere, which is particularly appealing to younger demographics who are accustomed to digital media consumption.

Regionally, North America holds the largest share of the Bible Study Software market, driven by a high rate of technological adoption and a strong Christian demographic. Europe follows closely, with a growing interest in digital religious resources. Meanwhile, the Asia Pacific region is anticipated to witness the fastest growth during the forecast period, owing to the increasing Christian population and rapid digitization in countries such as South Korea, India, and the Philippines. The Middle East & Africa and Latin America are also showing promising signs of growth, albeit at a slower pace compared to other regions.

Platform Analysis

The Bible Study Software market is segmented by platform into Windows, Mac, iOS, Android, and Web-based. The Windows segment currently dominates the market, largely due to the widespread use of personal computers running on Windows OS in homes, churches, and academic institutions. Windows-based software offers robust functionalities, including advanced search options, complex note-taking abilities, and seamless integration with other software, making it a preferred choice for serious Bible scholars and educators.

Mac users, although a smaller segment, represent a growing market share. The appeal of Mac-based Bible study software lies in its user-friendly interface and the seamless integration with other Apple products. The increasing popularity of Mac computers in academic and professional settings contributes to the growth of this segment. Developers are increasingly focusing on creating high-quality, Mac-compatible Bible study tools to cater to this niche but growing user base.

The iOS and Android segments are witnessing significant growth, driven by the proliferation of smartphones and tablets. Mobile-based Bible study applications offer unparalleled convenience, enabling users to study on the go. These apps often include features such as verse-of-the-day notifications, audio Bibles, and social sharing capabilities, which enhance user engagement and retention. Given the global trend toward mobile internet usage, the iOS and Android segments are expected to continue growing rapidly.

Web-based platforms are also gaining traction, particularly among users who prefer not to download software. These platforms offer flexibility and accessibility from any device with internet connectivity, making them an attractive option for occasional users and those who prioritize cross-device compatibility. Web-based

In 2020, around 28.8 percent of the global population were identified as Christian. Around 25.6 percent of the global population identify as Muslims, followed by 14.9 percent of global populations as Hindu. The number of Muslims increased by 347 million, when compared to 2010 data, more than all other religions combined.

About this dataset

Context

The dataset tabulates the population of Christian County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Christian County. The dataset can be utilized to understand the population distribution of Christian County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Christian County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Christian County.

Key observations

Largest age group (population): Male # 20-24 years (5,657) | Female # 0-4 years (3,325). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Christian County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Christian County is shown in the following column.
• Population (Female): The female population in the Christian County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Christian County for each age group.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Christian County Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Christian County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Christian County. The dataset can be utilized to understand the population distribution of Christian County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Christian County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Christian County.

Key observations

Largest age group (population): Male # 55-59 years (1,361) | Female # 35-39 years (1,269). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Christian County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Christian County is shown in the following column.
• Population (Female): The female population in the Christian County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Christian County for each age group.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Christian County Population by Gender. You can refer the same here

Historically, Portugal has been a country of Catholics. The 2021 census demonstrated that this trend has not been inverted, as over 80 percent of the population in Portugal identified as Catholic. Protestant or Evangelic believers accounted for more than two percent of the population, while Jehovah's Witnesses constituted one percent of residents. Among non-Christian faiths, Muslims were the most representative group, making up 0.42 percent of the population.

Religious but generally not practicing the faith

In the same year, Catholics numbered more than seven million people spread throughout the country, conquering the religious majority in the mainland and in the two autonomous regions. Citizens without religion totaled more than 1.2 million, which made of them the second most numerous religious group in Portugal. Young people presented the same religious trend, with young Catholics being the most representative group, followed by non-religious. Among youngsters, the attendance of religious events was mostly conducted occasionally, while a quarter did not participate in such proceedings at all.

The contribute of immigration to the growth of Evangelical Christianity

Despite being the minority, non-Catholic Christian and non-Christian faiths have been growing in Portugal. In 2011, Evangelical believers totaled 75.6 thousand, more than doubling ten years after. Such growth was partially motivated by the increase in Brazilian immigration, as more than 61 percent of new members of Evangelical churches in 2023 were of Brazilian origin. In fact, Brazil was the place of origin of almost 82 percent of all the immigrant Evangelical Christians residing in Portugal. However, more than a quarter of new Evangelical Christians were Portuguese, which shows that other religions, namely Christian Catholicism, have been losing members to Evangelical Catholicism.

This study, designed and carried out by the "http://www.asarb.org/" Target="_blank">Association of Statisticians of American Religious Bodies (ASARB), compiled data on 372 religious bodies by county in the United States. Of these, the ASARB was able to gather data on congregations and adherents for 217 religious bodies and on congregations only for 155. Participating bodies included 354 Christian denominations, associations, or communions (including Latter-day Saints, Messianic Jews, and Unitarian/Universalist groups); counts of Jain, Shinto, Sikh, Tao, Zoroastrian, American Ethical Union, and National Spiritualist Association congregations, and counts of congregations and adherents from Baha'i, three Buddhist groupings, two Hindu groupings, four Jewish groupings, and Muslims. The 372 groups reported a total of 356,642 congregations with 161,224,088 adherents, comprising 48.6 percent of the total U.S. population of 331,449,281. Membership totals were estimated for some religious groups.

In January 2024, the ARDA added 21 religious tradition (RELTRAD) variables to this dataset. These variables start at variable #12 (TOTCNG_2020). Categories were assigned based on pages 88-94 in the original "https://www.usreligioncensus.org/index.php/node/1638" Target="_blank">2020 U.S. Religion Census Report.

Visit the "https://www.thearda.com/us-religion/sources-for-religious-congregations-membership-data" Target="_blank">frequently asked questions page for more information about the ARDA's religious congregation and membership data sources.

MP Religion & Assisted Dying Dashboard

This data powers a dashboard presenting insights into the religious affiliations and Assisted Dying voting patterns of UK Members of Parliament (MPs). It can be found here:

👉 https://davidjeffery.shinyapps.io/mp-religion/.

Please cite all uses of the data.

📊 What is this dashboard?

This dashboard presents insights into the religious affiliations and Assisted Dying voting patterns of UK Members of Parliament. It combines publicly available data to support transparency and understanding of Parliament’s composition.

📂 Where does the data come from?

The data is compiled from publicly available parliamentary records and voting data. You can download it directly from the link in the header or view it in the Raw Data tab of the dashboard.

🙏 How is religion determined?

There are three steps to determining religion. An MP is classified as having a religion based on the following criteria:

1. If the MP is a member of a religiously based group, they are classified as a member of that religion.

2. If a member has publicly spoken about their religion, they are classified as a member of that religion.

3. Finally, the text an MP swore in on is used to help infer their religion.

These sources are used in order of priority. For example, Tim Farron is a member of Christians in Parliament and has spoken about his religious views. However, he did not take the oath on the Bible, but made a solemn affirmation on no text. Regardless, he is still classed as Christian.

🧾 Variable Reference

What do those variable names mean?

• Member ID – member_id – A unique numeric identifier for each MP provided by Parliament.

• Name – display_as – The full display name of the MP.

• Gender – gender – The MP’s gender.

• Party – party – The full political party name.

• Party (Simplified) – party_simple – A shortened or cleaned version of the party name.

• Religion – mp_final_relig – The MP’s classified religion based on multiple criteria outlined above.

• AD: 2nd Reading Vote – ass_suicide_2nd – The MP’s vote (Yes, No, Abstain) on the Assisted Dying Bill 2nd Reading.

• AD: 3rd Reading Vote – ass_suicide_3rd – The MP’s vote (Yes, No, Abstain) on the Assisted Dying Bill 3rd Reading.

• LGBT Status – lgbt – Whether the MP is publicly identified as LGBT (LGBT.MP).

• Ethnic Minority – ethnic_mp – Whether the MP identifies as an ethnic minority.

• Religious Group: Christian – relig_christian – MP belongs to a Christian group (1 = Yes).

• Religious Group: Muslim – relig_muslim – MP belongs to a Muslim group (1 = Yes).

• Religious Group: Jewish – relig_jewish – MP belongs to a Jewish group (1 = Yes).

• Religious Group: Sikh – relig_sikh – MP belongs to a Sikh group (1 = Yes).

• Oath Taken – mp_swear – Whether the MP took the Oath or made an Affirmation.

• Oath Book – mp_swear_book – The specific religious text (e.g., Bible, Quran) used when swearing in.

• Inferred Religion – mp_inferred_relig – The religion inferred from the swearing-in text.

• Election Outcome – elected – Whether the MP was re-elected in the most recent election.

• Majority – majority – The MP’s vote share margin.

• Constituency Type – constituency_type – Type: Borough or County.

• Claimant Rate – cen_claimant – % of constituents claiming unemployment benefits.

• % White (Census) – cen_eth_white – Proportion of white ethnicity in the constituency.

• % Christian – cen_rel_christian – Constituency Christian population from the Census.

• % Buddhist – cen_rel_buddhist – Constituency Buddhist population.

• % Hindu – cen_rel_hindu – Constituency Hindu population.

• % Jewish – cen_rel_jewish – Constituency Jewish population.

• % Muslim – cen_rel_muslim – Constituency Muslim population.

• % Sikh – cen_rel_sikh – Constituency Sikh population.

• % No Religion – cen_rel_no religion – Constituents identifying as non-religious.

• % No Qualifications – cen_qual_none – Constituents with no formal qualifications.

• % Graduates – cen_qual_grad – Constituents with degree-level education.

• % Some Disability – cen_disab_some – Constituents reporting a form of disability.

✝️ Why are Catholics separate from Christians?

Don’t worry, I’m not suggesting we bring back the Test Acts. The logic here is that more granular data is better.

When swearing in, there are versions of the Bible specific to Catholics — typically the New Jerusalem Bible or the Douay–Rheims Bible — whereas if someone just asks for “the Bible”, they are given the King James Version and could be from any Christian denomination.

It would be a shame to lose that detail, so I provide the option to break out Catholic MPs separately.

📚 Where can I find more information about swearing in and the parliamentary oath?

The Parliament website has a great guide:

👉 https://www.parliament.uk/about/how/elections-and-voting/swearingin/

👤 Who created this dashboard?

This dashboard was created by Dr David Jeffery, University of Liverpool.

Follow me on Twitter/X or Bluesky.

❓ Why did you create this dashboard?

I needed to know MPs’ religion, and the text MPs used to swear in seemed like a valid proxy. This information was held by Humanists UK and when I asked for it, they said no.

So I did what any time-starved academic would do: I collected the data myself, by hand, and decided to make it public.

Negative binomial model of the relationship between ethnic religion interaction and male fertility (All MEN aged 15–59 years).

Percentage distribution of men according to Children Ever Born (CEB) by background characteristics.

Data on religion by gender and age for the population in private households in Canada, provinces and territories.

About this dataset

Context

The dataset tabulates the population of Christian County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Christian County. The dataset can be utilized to understand the population distribution of Christian County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Christian County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Christian County.

Key observations

Largest age group (population): Male # 10-14 years (3,853) | Female # 10-14 years (3,646). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Christian County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Christian County is shown in the following column.
• Population (Female): The female population in the Christian County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Christian County for each age group.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for Christian County Population by Gender. You can refer the same here

According to a survey conducted in South Korea in 2023, over ** percent of respondents reported no religious affiliation, while approximately ** percent identified as Christians and ** percent as Buddhists. Religious population South Korea is a multi-religious society where Christianity, Buddhism, and various other religions coexist with shamanism. According to a previous study, the domestic religious population appeared to decline over time after reaching its peak in 2005, at nearly ** million people. In contrast, the share of people who are religiously unaffiliated has increased in recent years. Within the last two decades, the religiously unaffiliated population has increased from about ** percent to more than ** percent. Shamanism Shamanism has continued to significantly influence the daily lives of many South Koreans. According to a survey conducted in 2023, about ** percent of respondents reported having consulted a fortune-teller within the past year. Roughly ** percent of those respondents were already affiliated with a religion.

Census 2021 data on religion by highest qualification level, by sex, by age, England and Wales combined. This dataset provides Census 2021 estimates that classify usual residents in England and Wales by ethnic group. The estimates are as at Census Day, 21 March 2021.

The religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it.
This question was voluntary and the variable includes people who answered the question, including “No religion”, alongside those who chose not to answer this question.

Total counts for some population groups may not match between published tables. This is to protect the confidentiality of individuals' data. Population counts have been rounded to the nearest 5 and any counts below 10 are suppressed, this is signified by a 'c' in the data tables.

This dataset shows population counts for usual residents aged 16 years and over. Some people aged 16 years old will not have completed key stage 4 yet on census day, and so did not have the opportunity to record any qualifications on the census.

These estimates are not comparable to Department of Education figures on highest level of attainment because they include qualifications obtained outside England and Wales.

Quality notes can be found here

Quality information about Education can be found here

Religion

The 8 ‘tickbox’ religious groups are as follows:

• Buddhist
• Christian
• Hindu
• Jewish
• Muslim
• No religion
• Sikh
• Other religion

No qualifications

No qualifications

Level 1

Level 1 and entry level qualifications: 1 to 4 GCSEs grade A* to C , Any GCSEs at other grades, O levels or CSEs (any grades), 1 AS level, NVQ level 1, Foundation GNVQ, Basic or Essential Skills

Level 2

5 or more GCSEs (A* to C or 9 to 4), O levels (passes), CSEs (grade 1), School Certification, 1 A level, 2 to 3 AS levels, VCEs, Intermediate or Higher Diploma, Welsh Baccalaureate Intermediate Diploma, NVQ level 2, Intermediate GNVQ, City and Guilds Craft, BTEC First or General Diploma, RSA Diploma

Apprenticeship

Apprenticeship

Level 3

2 or more A levels or VCEs, 4 or more AS levels, Higher School Certificate, Progression or Advanced Diploma, Welsh Baccalaureate Advance Diploma, NVQ level 3; Advanced GNVQ, City and Guilds Advanced Craft, ONC, OND, BTEC National, RSA Advanced Diploma

Level 4 +

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The present study “shows the development of members of the protestant and the Roman Catholic Church in Germany and analyzes the importance of certain components of the membership development. The survey is based on data of the statistical office since the 1950s and on data of both churches (Protestant Church in Germany, Hannover, and German Bishops Conference, Bonn) on church life. The study aims to compile the membership development of both Christian churches in long time series, to analyze it systematically and to question, extent and quantify the thus far monocausal explanations for membership development. Since the late 1960s world trade and the related social changes, the immigration to Germany since the 1950s and the changes related to the German reunification and the European integration caused that both Christian churches in Germany got less important. Alternative religious communities emerged. Among those for example the Islam with about 4 Billion followers and small Free Church communities play a more and more important role. The official statistic has no or little data about those religious communities; therefor the survey concentrates on two National Christian Churches” (Eicken, J. /Schmitz-Veltin, A., 2010, a. a. O., p. 577). Compared to the discussion about leaving the church the public discussion pays little attention to demographic factors of membership development. The present study aims to show that the membership development is not only characterized by persons leaving, but that structure elements have an important impact, too. These “effects are not least based on the long term development of birth rates and the resulting surpluses of deaths as well as the changes of values concerning baptism. These processes together lead to a less important role of church in society.” (Eicken, J./Schmitz-Veltin, A., 2010, a. a. O., S. 576f). Data tables in HISTAT: A.1 Population in Germany by religious orientations and membership development of both National Churches (1956-2008) In der vorliegenden Untersuchung „wird die Mitgliederentwicklung der evangelischen sowie der römisch-katholischen Kirche in Deutschland dargestellt und analysiert, welches Gewicht den einzelnen Komponenten der Mitgliederentwicklung hierbei zukommt. Der Beitrag stützt sich auf Zahlen des Statistischen Bundesamtes seit den 1950er-Jahren beziehungsweise auf von den beiden Kirchen (Evangelische Kirche in Deutschland, Hannover, sowie Deutsche Bischofskonferenz, Bonn) zur Verfügung gestellte Daten zum „kirchlichen Leben“. Der Beitrag verfolgt das Ziel, die Mitgliederentwicklung in den beiden großen christlichen Volkskirchen als lange Zeitreihe synoptisch zusammenzustellen, systematisch aufzubereiten und zu analysieren und damit den bisher sehr stark monokausal ausgerichteten Erklärungsansatz zur Mitgliederentwicklung zu hinterfragen, zu erweitern und zu quantifizieren. Der seit den späten 1960er-Jahren zu beobachtende Wertewandel und die damit einhergehenden gesellschaftlichen Umbrüche, die Zuwanderung nach Deutschland seit den 1950er-Jahren sowie die Umwälzungen im Zuge der deutschen Vereinigung und der europäischen Integration haben dazu geführt, dass die beiden christlichen Volkskirchen in Deutschland an Bedeutung verloren haben. Neben die römisch-katholische und die evangelische Kirche sind zunehmend alternative Glaubensgemeinschaften getreten. Unter diesen spielen beispielsweise der Islam mit rund 4 Mill. Anhängern sowie kleinere freikirchliche oder charismatische Gemeinden zunehmend eine Rolle. Über diese Religionsgemeinschaften liegen in der amtlichen Statistik jedoch keine bzw. nur wenige Angaben vor, sodass sich der Beitrag im Folgenden auf die christlichen Volkskirchen konzentriert“ (Eicken, J./Schmitz-Veltin, A., 2010, a. a. O., S. 577). Im Gegensatz zu der Diskussion um Kirchenaustritt wird den demografischen Faktoren der Mitgliederentwicklung in der aktuellen Diskussion wenig Aufmerksamkeit geschenkt. Der vorliegende Beitrag möchte vor diesem Hintergrund aufzeigen, dass die Mitgliederentwicklung der großen Volkskirchen nicht nur durch Austritte geprägt ist, sondern altersstrukturelle Effekte ebenfalls als Ursache in Erwägung zu ziehen sind. Diese „Effekte sind nicht zuletzt auf die langfristige Entwicklung der Geburtenzahl und den hieraus resultierenden Überschüssen der Sterbefälle sowie auf Wertänderungen bezüglich Taufen zurückzuführen. Zusammengenommen führen diese Prozesse zu einer gesellschaftlichen Entkirchlichung. Unter Entkirchlichung wird in dem Beitrag das sich in zurückgehenden Mitgliederzahlen äußernde Nachlassen der Bindekräfte der gro0en Volksmassen verstanden“ (Eicken, J./Schmitz-Veltin, A., 2010, a. a. O., S. 576f). Datentabellen in HISTAT: A.1 Einwohnerzahl in Deutschland nach Religionszugehörigkeit und Mitgliederbewegungen in den beiden christlichen Volkskirchen (1956-2008)

(UNCLASSIFIED) There are three main ethnolinguistic groups that made up ethnicity in Liberia; Mel, Mande, and Kru. The ethnic mix of Liberia has contributed to a rich culture as well as ethnic tension. It is common for politics in West Africa to divide along ethnic lines. Ethnic tension along with poor economic and social conditions and political instability were the leading causes for the two recent civil wars in the country. This first began in 1989 when the National Patriotic Front of Liberia, led by Charles Taylor, rose up against the Kran dominant government lead by Samuel Doe. The first civil war ended in 1997 with Charles Taylor formally voted into power. During the civil war Taylor commonly targeted Muslim Mande populations and the Kran for being the two groups most associated with the Doe regime. The opposition to Taylor retaliated by attacking Christian sites. Taylor’s regime was chaotic which led to a second civil war that began in 1999 with full scale war in 2003; a cease fire was signed the same year which ended the civil war. The actions during both civil wars show how politics and ethnicity go hand in hand and can produce ethnoreligious violence. Many in Liberia participate in secret societies known as hale, this is the most controlling and unifying force in Liberian culture with most participants belonging to one or more societies. They are both religious and political in nature and lay out acceptable and unacceptable behavior. There are numerous different hale societies offering regulations on how someone should act in society. The two most important hale societies are the men’s Poro and the female’s Sande, with participants joining at puberty to be taught the ideals of manhood and womanhood. Initiations are secret and performed in the forest. Reports state that initiation into the Sande society often includes female genital mutilation while boys undergo circumcisions in the Poro society. Belonging to either the Poro or Sande society is so important among traditional communities that those who do not join are not considered a member of the village, clan, or tribe. Mande - The Mande people group is the largest ethnicity in Liberia and has multiple subgroups. Agriculture, trade, and animal husbandry are common economic activities among the Mande people. They are patrilineal and the oldest male serves as the lineage head. Class structure is also common among Mande people typically consisting of royal, noble, commoner, artisan, and former slave classes. The largest Mande subgroup are the Kpelle and alone they account for 20.3 percent of the total Liberian population. The Kpelle organize themselves into many chiefdoms each of which are led by a paramount chief. While mass conversion to Christianity happened in the nineteenth century many still practice indigenous belief systems either alone or in combination with Christianity. Mel - The Mel group in Liberia is comprised of the Kissi and the Gola, 4.8 percent and 4.4 percent of the population respectively. Most Kissi are either Christian, animists, or a combination of the two. A small population, roughly 9 percent, is Muslim. Most are subsistence farmers or urban laborers. During the first civil war they were in conflict with the Kran. Kru – The Kru are organized based on patrilineal relationships and divided in many subgroups. As with many other ethnic groups in the region, while many have converted to Christianity there is still a significant portion that still adheres to indigenous beliefs or incorporates them into Christianity. Indigenous beliefs are passed through folklores and proverbs. Attribute Table Field DescriptionsISO3 - International Organization for Standardization 3-digit country code ADM0_NAME - Administration level zero identification / name PEOPLEGP_1 - People Group level 1 PEOPLEGP_2 - People Group level 2 PEOPLEGP_3 - People Group level 3 PEOPLEGP_4 - People Group level 4 PEOPLEGP_5 - People Group level 5 ALT_NAMES - Alternative names or spellings for a people group COMMENTS - Comments or notes regarding the people group SOURCE_DT - Source one creation date SOURCE - Source one SOURCE2_DT - Source two creation date SOURCE2 - Source two CollectionThe feature class was constructed by combining information from Murdock’s Map of Africa (1959) with other anthropological literature pertaining to Liberian ethnicity. The information was then processed through DigitalGlobe’s AnthropMapper program to generate more accurate ethnic coverage boundaries. Anthromapper uses geographical terrain features, combined with a watershed model, to predict the likely extent of ethnic and linguistic influence. 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.Sources (HGIS)Anthromapper. DigitalGlobe, September 2014.Gonen, Amiram. The Encyclopedia of the Peoples of the World. New York: Henry Holt and Company, 1993.Levinson, David. Encyclopedia of World Cultures: Africa and the Middle East. Boston: G.K. Hall and Co., 1995.Minority Rights Group International. World Directory of Minorities and Indigenous Peoples, “Liberia Overview.” January 2005. Accessed September 23, 2014. http://www.minorityrights.org/directory.Murdock, George Peter. Tribal Map of Africa from Africa: Its Peoples and Their Culture History. New York: McGraw-Hill Book Co., January 1959.Olson, James S. The Peoples of Africa: An Ethnohistorical Dictionary. Westport: Greenworod Press, 1996.The Diagram Group. Encyclopedia African Peoples. London: Diagram Visual Information, 2000.Yakan, Mohamad Z. Almanac of African Peoples and Nations. New Brunswick: Transaction Publishers, 1999.Sources (Metadata)Central Intelligence Agency. The World FactBook, “Liberia.” June 20, 2014. Accessed September 22, 2014. https://www.cia.gov/index.html.Gonen, Amiram. The Encyclopedia of the Peoples of the World. New York: Henry Holt and Company, 1993.Humanitarian News and Analysis, “Liberia: FGM continues in rural secrecy.” September 24, 2008. Accessed September 23, 2014. http://www.irinnews.org/.Levinson, David. Encyclopedia of World Cultures: Africa and the Middle East. Boston: G.K. Hall and Co., 1995.Olson, James S. The Peoples of Africa: An Ethnohistorical Dictionary. Westport: Greenworod Press, 1996.The Diagram Group. Encyclopedia African Peoples. London: Diagram Visual Information, 2000.Vogel, Health. Blogging without Maps: a Journey through Liberia, “Societies within Society – The Secret Societies of Liberia.” June 16, 2012. Accessed September 23, 2014. http://bloggingwithoutmaps.blogspot.com/.Yakan, Mohamad Z. Almanac of African Peoples and Nations. New Brunswick: Transaction Publishers, 1999.