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, and 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 #9 (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.

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

Abstract

The Religion Battery is a consolidated list of items focused on religion in the United States. The dataset includes responses from 1999-2024.

Methodology

The Religion Battery leverages the same methodology as the Gallup Poll Social Series (GPSS).

Gallup interviews a minimum of 1,000 U.S. adults aged 18 and older living in all 50 states and the District of Columbia using a dual-frame design, which includes both landline and cellphone numbers. Gallup samples landline and cellphone numbers using random-digit-dial methods. Gallup purchases samples for this study from Survey Sampling International (SSI). Gallup chooses landline respondents at random within each household based on which member had the next birthday. Each sample of national adults includes a minimum quota of 70% cellphone respondents and 30% landline respondents, with additional minimum quotas by time zone within region. Gallup conducts interviews in Spanish for respondents who are primarily Spanish-speaking.

Gallup weights samples to correct for unequal selection probability, nonresponse, and double coverage of landline and cellphone users in the two sampling frames. Gallup also weights its final samples to match the U.S. population according to gender, age, race, Hispanic ethnicity, education, region, population density, and phone status (cellphone only, landline only, both, and cellphone mostly).

Demographic weighting targets are based on the most recent Current Population Survey figures for the aged 18 and older U.S. population. Phone status targets are based on the most recent National Health Interview Survey. Population density targets are based on the most recent U.S. Census.

Usage

Previous versions of the Religion Battery have more rows and columns than the current version (v. 3.0). This is because the previous data releases contained fields unrelated to religion. The current release was cleaned/streamlined to reflect the topic of interest and isolate the surveys related to that topic.

For more information about included variables, please see

Supporting Files.

Bulk Data Access

Data access is required to view this section.

Anti-Jewish attacks were the most common form of anti-religious group hate crimes in the United States in 2023, with ***** cases. Anti-Islamic hate crimes were the second most common anti-religious hate crimes in that year, with *** incidents.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Pass Christian. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Pass Christian. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Pass Christian, the median household income stands at $96,000 for householders within the 45 to 64 years age group, followed by $68,229 for the 65 years and over age group. Notably, householders within the 25 to 44 years age group, had the lowest median household income at $56,985.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific 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 median household income by age. You can refer the same here

This file contains all of the cases and variables that are in the original 2017 Baylor Religion Survey, but is prepared for easier use in the classroom. Changes have been made in two areas. First, to avoid confusion when constructing tables or interpreting basic analysis, all missing data codes and "don't know" responses have been set to system missing. Second, many of the continuous variables have been categorized into fewer categories, and added as additional variables to the file.

Wave V of the "https://www.baylor.edu/baylorreligionsurvey/" Target="_blank">Baylor Religion Survey (2017), also known as "The Values and Beliefs of the American Public - A National Study," was administered by Gallup and funded by the John Templeton Foundation. It covers topics of the geography of religion; religious behaviors and attitudes; morality and politics; mental health and religion; intersection of technology and religion; race and ethnicity; the religious, political and ideological values of Trump voters; and basic demographics.

This dataset provides Census 2021 estimates that classify usual residents in Birmingham by ethnic group, by religion, and by age.

Ethnic Group: The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity or physical appearance. Religion: The religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it. Age: A person's age on Census Day, 21 March 2021 in England and Wales.CoverageThis dataset is focused on the data for Birmingham at city level. About the 2021 CensusThe Census takes place every 10 years and gives us a picture of all the people and households in England and Wales.Protecting personal dataThe ONS sometimes need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, they:Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, they swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority.Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when they applied perturbation.For more geographies, aggregations or topics see the link in the Reference below. Or, to create a custom dataset with multiple variables use the ONS Create a custom dataset tool.

This study assessed the effects of male inmate religiosity on post-release community adjustment and investigated the circumstances under which these effects were most likely to take place. The researcher carried out this study by adding Federal Bureau of Investigation criminal history information to an existing database (Clear et al.) that studied the relationship between an inmate's religiousness and his adjustment to the correctional setting. Four types of information were used in this study. The first three types were obtained by the original research team and included an inmate values and religiousness instrument, a pre-release questionnaire, and a three-month post-release follow-up phone survey. The fourth type of information, official criminal history reports, was later added to the original dataset by the principal investigator for this study. The prisoner values survey collected information on what the respondent would do if a friend sold drugs from the cell or if inmates of his race attacked others. Respondents were also asked if they thought God was revealed in the scriptures, if they shared their faith with others, and if they took active part in religious services. Information collected from the pre-release questionnaire included whether the respondent attended group therapy, religious groups with whom he would live, types of treatment programs he would participate in after prison, employment plans, how often he would go to church, whether he would be angry more in prison or in the free world, and whether he would be more afraid of being attacked in prison or in the free world. Each inmate also described his criminal history and indicated whether he thought he was able to do things as well as most others, whether he was satisfied with himself on the whole or felt that he was a failure, whether religion was talked about in the home, how often he attended religious services, whether he had friends who were religious while growing up, whether he had friends who were religious while in prison, and how often he participated in religious inmate counseling, religious services, in-prison religious seminars, and community service projects. The three-month post-release follow-up phone survey collected information on whether the respondent was involved with a church group, if the respondent was working for pay, if the respondent and his household received public assistance, if he attended religious services since his release, with whom the respondent was living, and types of treatment programs attended. Official post-release criminal records include information on the offenses the respondent was arrested and incarcerated for, prior arrests and incarcerations, rearrests, outcomes of offenses of rearrests, follow-up period to first rearrest, prison adjustment indicator, self-esteem indicator, time served, and measurements of the respondent's level of religious belief and personal identity. Demographic variables include respondent's faith, race, marital status, education, age at first arrest and incarceration, and age at incarceration for rearrest.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Christian County. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Christian County. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Christian County, householders within the 25 to 44 years age group have the highest median household income at $62,368, followed by those in the 45 to 64 years age group with an income of $56,831. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $41,141. Notably, householders within the under 25 years age group, had the lowest median household income at $33,417.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific 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 median household income by age. You can refer the same here

The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021.The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads.Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents.Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproductsReligionThis dataset provides Census 2021 estimates that classify usual residents in England and Wales by religion. The estimates are as at Census Day, 21 March 2021.Definition: The religion people connect or identify with (their religious affiliation), whether or not they practice 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.This variable classifies responses into the eight tick-box response options. Write-in responses are classified by their "parent" religious affiliation, including 'No Religion', where applicable.This dataset contains details for Leicester City and England overall. There is also a dashboard that has been produced to show a selection of Census statistics for the city of Leicester which can be viewed here: Census 21 - Leicester dashboard.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

About this dataset

Context

The dataset tabulates the Pass Christian population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Pass Christian. The dataset can be utilized to understand the population distribution of Pass Christian by age. For example, using this dataset, we can identify the largest age group in Pass Christian.

Key observations

The largest age group in Pass Christian, MS was for the group of age 65 to 69 years years with a population of 547 (9.21%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Pass Christian, MS was the 85 years and over years with a population of 89 (1.50%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Pass Christian is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Pass Christian total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Pass Christian by race. It includes the population of Pass Christian across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Pass Christian across relevant racial categories.

Key observations

The percent distribution of Pass Christian population by race (across all racial categories recognized by the U.S. Census Bureau): 70.13% are white, 22.11% are Black or African American, 0.71% are American Indian and Alaska Native, 1.77% are Asian and 5.28% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Pass Christian
• Population: The population of the racial category (excluding ethnicity) in the Pass Christian is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Pass Christian total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Race & Ethnicity. You can refer the same here

This dataset contains the Arab-West Report special reports that were published in 2006.

This dataset mainly contains the writings of Cornelis Hulsman, Drs., among other authors on topics related to Muslim-Christian relations and interfaith dialogue. The writings in this dataset are mostly reports concerning Coptic Christian culture, Muslim-Christian dialogue, and the state of the Christian faith in Egypt.

Some of the articles address the controversial book "The Da Vinci Code" and the debates that ensued after its publication surrounding its historicity and freedom of expression.

Additionally this dataset contains recommendation for the work of Arab-West Report by other social figures and the development of its affiliated NGO, the Center for Arab West Understanding. Furthermore, this dataset contains commentary and critique on published material from other sources (media critique).

Some of the themes that characterize this dataset:

Development of the Center for Arab West Understanding (CAWU) and recommendations of the work of Arab West Report:

- Recommendation for Arab-West Report and the Center for Arab-West Understanding from Dutch musician and entertainer, Herman van Veen, Pastor Dave Petrescue ( Maadi Community Church in Cairo, Egypt) and Lord Carey of Clifton, former archbishop of Canterbury. Additionally, this dataset contains special recommendations of the work of Corneliss 'Kees' Hulsman and Sawsan Gabra by Dr. Jan Slomp, member of the Advisory Editorial Board of the Journal of Muslim Minority Affairs in Jeddah. Dr. Slomp acknowledges that Arab West Report’s use of reliable information is working towards strengthening Muslim-Christian relations by providing source material for cultural, educational and religious dialogue and cooperation.

-Another report mentioned that the Former Dutch Prime Minister Andreas van Agt visited Egypt to support the foundation of the Center for Arab-West Understanding.

-A report about NGO Status of CAWU, “After Three Years of Struggle”. This report came as a result of the February 18 ruling of the Egyptian Council of State that granted the Center recognition as an NGO under Egyptian law.

-Annual report: Arab-West Report presents the annual report for 2005.

-Arab West Report’s American intern writes about 220 years of religious freedom in the U.S., arguing that one standard must be applied to all.

-A discussion of homosexuality and Egyptian law taken from a bachelor’s thesis on Egyptian law.

-Book review of Jamal Al-Banna’s "My Coptic Brethren".

-“Christian Minorities in the Islamic World, an Egyptian Perspective”: A paper presented at the annual interfaith dialogue meeting of the Anglican Communion and the Permanent Committee of the Azhar al-Sharif for Dialogue with the Monotheistic Religions. This paper prompted criticism from Metropolitan Seraphim for the portrayal of Muslim-Christian relations in Egypt.

Media Critique:

-An author criticizes an article by the German magazine Der Spiegel about Christians in the Middle East. She claims that the article distorts the reality of the situation in the declining Christian communities in the region.

- Interview with Egyptian artist Farid Fadil, , including discussion of his views on Muslim-Christian relations in Egypt, ’Christian art’, Leonardo da Vinci and the controversial book, The Da Vinci Code.

-Excerpts from the speeches of Mr. Ahmad Māhir, former foreign minister of Egypt, Sir Derek Plumbly, British ambassador to Egypt , Mr. Tjeerd de Zwaan, Dutch ambassador to Egypt, Mr. Lasse Seim, Norwegian ambassador to Egypt, and Cornelis Hulsman, Drs., director of the Center for Arab-West Understanding, on ’Freedom of expression and respect for the other. How to respond if one is offended.’

- Highlights of the meeting held at El-Sawy Culture Wheel on May 7, 2006, to launch the CAWU website. Highlights include a welcome address by Mr. Muhammad al-Sāwī, comments from former ministers Dr. Mamdouh al-Biltājī, Mr. Ahmed Māhir, Dr. Ahmad Juwaylī, head of the Protestant Community Council, Dr. Safwat al Bayādī, and former prime minister of the Netherlands, Prof. Van Agt.

- Aran West Report asked our former intern Maria Roeder, a student of media science at the University of Jena in Germany, to summarize a study commissioned by the Austrian Federal Ministry of Interior. This study is a comparative study concerning Austrian media reporting on Muslims and media from countries with Muslim majorities reporting about the integration of Muslims in Europe.

-A review of the media coverage following the Alexandria church stabbings concludes that both Muslims and Christians condemned the attacks and spoke of the need for change in the citizenship rights of Christians.

-Apostolic Nuncio to Egypt, Archbishop Fitzgerald, responds to polarization following the Regensburg lecture of H.H. Pope Benedict XVI.

-Cornelis...

About this dataset

Context

The dataset tabulates the Christian County population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Christian County. The dataset can be utilized to understand the population distribution of Christian County by age. For example, using this dataset, we can identify the largest age group in Christian County.

Key observations

The largest age group in Christian County, IL was for the group of age 55-59 years with a population of 2,767 (8.13%), according to the 2021 American Community Survey. At the same time, the smallest age group in Christian County, IL was the 85+ years with a population of 818 (2.40%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Christian County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Christian County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Age. You can refer the same here

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

notresort/christian-full dataset hosted on Hugging Face and contributed by the HF Datasets community