About this dataset

Context

The dataset tabulates the Faith 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 Faith. The dataset can be utilized to understand the population distribution of Faith by age. For example, using this dataset, we can identify the largest age group in Faith.

Key observations

The largest age group in Faith, NC was for the group of age 50 to 54 years years with a population of 174 (15.96%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Faith, NC was the 85 years and over years with a population of 11 (1.01%). 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 Faith is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Faith 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 Faith Population by Age. You can refer the same here

About this dataset

Context

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

Key observations

The percent distribution of Faith population by race (across all racial categories recognized by the U.S. Census Bureau): 89.36% are white, 2.39% are Black or African American, 7.34% are Asian and 0.92% 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 Faith
• Population: The population of the racial category (excluding ethnicity) in the Faith is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Faith 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 Faith Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Faith population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Faith. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 739 (67.80% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Faith population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Faith is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Faith is shown in the following column.

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 Faith Population by Age. You can refer the same here

There are 3 datasets within this publication showing key aspects of Ethnic Minority Populations in Lincolnshire: Ethnic Groups, Proficiency in English, and Religion. The datasets show 2021 Census estimates of the total resident population with breakouts for these three population categories.

These Census 2021 datasets are sourced from the Office for National Statistics (ONS) Nomis website - see the Source link below. Data is shown for Lincolnshire and Districts, and for 2021 Lower Super Output Areas (LSOA). Different geographies and more detailed breakouts of these and other useful datasets, are available at the Source link.

The data is updated every 10 years with the next update due from the Census 2031.

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.

🏆 Behind the Red Carpet: The Real Story of Representation

📌 Context

Since its inception in 1929, the Academy Awards (Oscars) have been one of the most prestigious events in the film industry, celebrating excellence in cinematic achievements. But while the ceremony shines a spotlight on talent, questions of representation and diversity have long lingered in its shadows.

Who gets nominated? Who wins?
How do gender, ethnicity, sexual orientation, or religion influence the makeup of nominees and winners over the decades?

📊 Content

This dataset compiles demographic information on all nominees and winners in major Oscar categories — Best Actor, Best Actress, Supporting Actor/Actress, and Directing — from 1928 to 2025.

Each row contains:

• Name: Nominee’s full name
• Category: Award category (e.g., ACTOR, DIRECTING)
• Film: Film for which the nomination was made
• Win_Oscar?: Whether the nominee won (TRUE/FALSE)
• Year_Ceremony: Year of the Oscar ceremony
• Birth_Date: Date of birth (YYYY-MM-DD)
• Birth_Place: Place of birth
• Gender: Male or Female
• Race or Ethnicity: Self-identified or commonly cited background
• Sexual orientation: If publicly known
• Religion: If publicly known
• Link: Link to a biographical source (NNDB or IMDb)

Note: When demographic data was unavailable, the corresponding fields are Na.

💡 Inspiration

This dataset aims to fuel critical analysis around diversity and inclusion in Hollywood, and help answer questions such as:

• How has gender representation evolved over time?
• Are certain ethnic or religious groups underrepresented in nominations or wins?
• Has there been a shift in diversity since movements like #OscarsSoWhite?
• Do directors have a different demographic profile than actors?

Researchers, journalists, students, and film lovers alike can use this data to uncover patterns of bias or progress within the Academy Awards' nearly century-long history.

🙏 Acknowledgements

This dataset was compiled from public sources such as:

• NNDB
• IMDb
• Wikipedia and verified biographical records

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_bf205c3175b8835fef381d7d0f18715a/view

About this dataset

Context

The dataset tabulates the population of Faith by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Faith. The dataset can be utilized to understand the population distribution of Faith by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Faith. 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 Faith.

Key observations

Largest age group (population): Male # 60-64 years (31) | Female # 80-84 years (27). 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 Faith population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Faith is shown in the following column.
• Population (Female): The female population in the Faith 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 Faith 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 Faith Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Faith by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Faith. The dataset can be utilized to understand the population distribution of Faith by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Faith. 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 Faith.

Key observations

Largest age group (population): Male # 50-54 years (118) | Female # 40-44 years (109). 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 Faith population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Faith is shown in the following column.
• Population (Female): The female population in the Faith 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 Faith 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 Faith Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Faith by race. It includes the distribution of the Non-Hispanic population of Faith across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Faith across relevant racial categories.

Key observations

Of the Non-Hispanic population in Faith, the largest racial group is White alone with a population of 970 (89.57% of the total Non-Hispanic population).

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 (for Non-Hispanic) for the Faith
• Population: The population of the racial category (for Non-Hispanic) in the Faith is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Faith total Non-Hispanic 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 Faith Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Faith Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Faith, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of Faith.

Key observations

Among the Hispanic population in Faith, regardless of the race, the largest group is of Mexican origin, with a population of 4 (57.14% of the total Hispanic population).

Content

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

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the Faith
• Population: The population of the specific origin for Hispanic or Latino population in the Faith is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Faith total Hispanic or Latino 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 Faith Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Faith, SD, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 8,424, while the mean income for the highest quintile (20% of households with the highest income) is 137,480. This indicates that the top earners earn 16 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 212,438, which is 154.52% higher compared to the highest quintile, and 2521.82% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 Faith median household income. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Faith. The dataset can be utilized to gain insights into gender-based income distribution within the Faith population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Faith, among individuals aged 15 years and older with income, there were 459 men and 363 women in the workforce. Among them, 375 men were engaged in full-time, year-round employment, while 231 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 5.33% fell within the income range of under $24,999, while 14.29% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 46.40% of men in full-time roles earned incomes exceeding $100,000, while 5.19% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Faith median household income by race. You can refer the same here