100+ datasets found
  1. N

    Red House, New York Age Group Population Dataset: A complete breakdown of...

    • neilsberg.com
    csv, json
    Updated Sep 16, 2023
    + more versions
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    Neilsberg Research (2023). Red House, New York Age Group Population Dataset: A complete breakdown of Red House town age demographics from 0 to 85 years, distributed across 18 age groups [Dataset]. https://www.neilsberg.com/research/datasets/711a1564-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 16, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New York, Red House
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    The largest age group in Red House, New York was for the group of age 40-44 years with a population of 8 (27.59%), according to the 2021 American Community Survey. At the same time, the smallest age group in Red House, New York was the 5-9 years with a population of 0 (0.00%). 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 Red House town is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Red House town 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 Red House town Population by Age. You can refer the same here

  2. U.S. youngest members of the House of Representatives 2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 10, 2025
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    Statista (2025). U.S. youngest members of the House of Representatives 2023 [Dataset]. https://www.statista.com/statistics/1454930/youngest-members-house-of-representatives-us/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of 2023, the youngest member of the United States House of Representatives was Maxwell Alejandro Frost. Elected at **, Frost was the first and only Generation Z member of the ***** U.S. Congress. There was a considerable age gap between Frost and the other youngest members of the House of Representatives, who were all between 33 and 34 years old.

  3. N

    House, NM Age Cohorts Dataset: Children, Working Adults, and Seniors in...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). House, NM Age Cohorts Dataset: Children, Working Adults, and Seniors in House - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/4b88db4d-f122-11ef-8c1b-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    House, New Mexico
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the House 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 House. 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 25 (53.19% 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 House population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in House is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the House 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 House Population by Age. You can refer the same here

  4. U.S. midterm election results for the House of Representatives 2022

    • statista.com
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    Statista, U.S. midterm election results for the House of Representatives 2022 [Dataset]. https://www.statista.com/statistics/1344207/house-representatives-midterm-results-us-2022/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 19, 2022
    Area covered
    United States
    Description

    In the 2022 midterm elections, Republicans won *** seats in the U.S. House of Representatives - enough to secure a majority. The midterm elections in the United States were held on November 8th, 2022.

  5. Rural housing statistics

    • gov.uk
    • s3.amazonaws.com
    Updated Jul 22, 2022
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    Department for Environment, Food & Rural Affairs (2022). Rural housing statistics [Dataset]. https://www.gov.uk/government/statistics/rural-housing
    Explore at:
    Dataset updated
    Jul 22, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Environment, Food & Rural Affairs
    Description

    Statistics on the availability and affordability of housing, homelessness, and homebuilding in rural and urban areas.

    Metadata

    Indicators:

    • percentage of dwellings classed as second homes or empty dwellings
    • house building per 1,000 population
    • net additions to housing stock
    • additions to affordable housing stock
    • residential housing transactions
    • homeless and in priority need per 1,000 households
    • people in temporary accommodation per 1,000 households
    • ratio of lower quartile house prices to lower quartile earnings

    Data source: Department for Levelling up, Housing and Communities & Ministry for Housing, Communities and Local Government

    Coverage: England

    Rural classification used: Local Authority Rural-Urban Classification

    Next release date: tbc

    Additional sources:

    Defra statistics: rural

    Email mailto:rural.statistics@defra.gov.uk">rural.statistics@defra.gov.uk

    <p class="govuk-body">You can also contact us via Twitter: <a href="https://twitter.com/DefraStats" class="govuk-link">https://twitter.com/DefraStats</a></p>
    

  6. N

    Median Household Income by Racial Categories in White Hall, AR (, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
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    Neilsberg Research (2025). Median Household Income by Racial Categories in White Hall, AR (, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/e0cb639e-f665-11ef-a994-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Arkansas, White Hall
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in White Hall. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of White Hall population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 67.90% of the total residents in White Hall. Notably, the median household income for White households is $89,375. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $89,375.

    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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in White Hall.
    • Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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

  7. Homeownership rate in the U.S. 2023, by age

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Homeownership rate in the U.S. 2023, by age [Dataset]. https://www.statista.com/statistics/1036066/homeownership-rate-by-age-usa/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    The homeownership rate was the highest among Americans in their early 70s and the lowest among people in their early 20s in 2023. In that year, approximately ** percent of individuals aged 70 to 75 resided in a residence they owned, compared to approximately **** percent among individuals under the age of 25. On average, **** percent of Americans lived in an owner-occupied home. The homeownership rate was the highest in 2004 but has since declined.

  8. Saudi Arabia No of Houses: Occupied by Households: Demographic Survey: Hail

    • ceicdata.com
    • dr.ceicdata.com
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    CEICdata.com, Saudi Arabia No of Houses: Occupied by Households: Demographic Survey: Hail [Dataset]. https://www.ceicdata.com/en/saudi-arabia/number-of-houses-occupied-by-households-demographic-survey/no-of-houses-occupied-by-households-demographic-survey-hail
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1999 - Dec 1, 2017
    Area covered
    Saudi Arabia
    Variables measured
    Household Income and Expenditure Survey
    Description

    Saudi Arabia Number of Houses: Occupied by Households: Demographic Survey: Hail data was reported at 111,826.000 Unit in 2017. This records an increase from the previous number of 79,171.000 Unit for 2007. Saudi Arabia Number of Houses: Occupied by Households: Demographic Survey: Hail data is updated yearly, averaging 79,087.500 Unit from Dec 1999 (Median) to 2017, with 4 observations. The data reached an all-time high of 111,826.000 Unit in 2017 and a record low of 77,969.000 Unit in 1999. Saudi Arabia Number of Houses: Occupied by Households: Demographic Survey: Hail data remains active status in CEIC and is reported by General Authority for Statistics. The data is categorized under Global Database’s Saudi Arabia – Table SA.H005: Number of Houses: Occupied by Households: Demographic Survey.

  9. N

    Washington Court House, OH Hispanic or Latino Population Distribution by...

    • neilsberg.com
    csv, json
    Updated Feb 21, 2025
    + more versions
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    Neilsberg Research (2025). Washington Court House, OH Hispanic or Latino Population Distribution by Ancestries Dataset : Detailed Breakdown of Hispanic or Latino Origins // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/washington-court-house-oh-population-by-race/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Ohio, Washington Court House
    Variables measured
    Hispanic or Latino population with Cuban ancestry, Hispanic or Latino population with Mexican ancestry, Hispanic or Latino population with Puerto Rican ancestry, Hispanic or Latino population with Other Hispanic or Latino ancestry, Hispanic or Latino population with Cuban ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Mexican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Puerto Rican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Other Hispanic or Latino ancestry as Percent of Total Hispanic Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Origin / Ancestry for Hispanic population and (b) respective population as a percentage of the total Hispanic population, we initially analyzed and categorized the data for each of the ancestries across the Hispanic or Latino population. It is ensured that the population estimates used in this dataset pertain exclusively to ancestries for the Hispanic or Latino population. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Washington Court House Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of Washington Court House, 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 Washington Court House.

    Key observations

    Among the Hispanic population in Washington Court House, regardless of the race, the largest group is of Mexican origin, with a population of 273 (78% 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 Washington Court House
    • Population: The population of the specific origin for Hispanic or Latino population in the Washington Court House is shown in this column.
    • % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of Washington Court House 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 Washington Court House Population by Race & Ethnicity. You can refer the same here

  10. N

    Cogan House Township, Pennsylvania Population Pyramid Dataset: Age Groups,...

    • neilsberg.com
    csv, json
    Updated Sep 16, 2023
    + more versions
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    Neilsberg Research (2023). Cogan House Township, Pennsylvania Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis [Dataset]. https://www.neilsberg.com/research/datasets/622e67df-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Sep 16, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Cogan House Township, Pennsylvania
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the data for the Cogan House Township, Pennsylvania population pyramid, which represents the Cogan House township population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 5-Year estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Cogan House Township, Pennsylvania, is 26.3.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Cogan House Township, Pennsylvania, is 30.4.
    • Total dependency ratio for Cogan House Township, Pennsylvania is 56.7.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Cogan House Township, Pennsylvania is 3.3.
    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 for the Cogan House township population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Cogan House township for the selected age group is shown in the following column.
    • Population (Female): The female population in the Cogan House township for the selected age group is shown in the following column.
    • Total Population: The total population of the Cogan House township for the selected age group 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 Cogan House township Population by Age. You can refer the same here

  11. N

    Dataset for Charlotte Court House, VA Census Bureau Demographics and...

    • neilsberg.com
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Dataset for Charlotte Court House, VA Census Bureau Demographics and Population Distribution Across Age // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b786e895-5460-11ee-804b-3860777c1fe6/
    Explore at:
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Charlotte Court House, Virginia
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Charlotte Court House population by age. The dataset can be utilized to understand the age distribution and demographics of Charlotte Court House.

    Content

    The dataset constitues the following three datasets

    • Charlotte Court House, VA Age Group Population Dataset: A complete breakdown of Charlotte Court House age demographics from 0 to 85 years, distributed across 18 age groups
    • Charlotte Court House, VA Age Cohorts Dataset: Children, Working Adults, and Seniors in Charlotte Court House - Population and Percentage Analysis
    • Charlotte Court House, VA Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

    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/.

  12. N

    White House, TN Population Breakdown by Gender and Age Dataset: Male and...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
    Share
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    Neilsberg Research (2025). White House, TN Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/e20a43f7-f25d-11ef-8c1b-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Tennessee, White House
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    Largest age group (population): Male # 35-39 years (724) | Female # 30-34 years (807). 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 White House population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the White House is shown in the following column.
    • Population (Female): The female population in the White House 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 White House 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 White House Population by Gender. You can refer the same here

  13. N

    Red House, New York Population Breakdown by Gender

    • neilsberg.com
    csv, json
    Updated Sep 14, 2023
    + more versions
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    Neilsberg Research (2023). Red House, New York Population Breakdown by Gender [Dataset]. https://www.neilsberg.com/research/datasets/655e4eb6-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 14, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Red House
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of Red House town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Red House town across both sexes and to determine which sex constitutes the majority.

    Key observations

    There is a considerable majority of male population, with 65.52% of total population being male. 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.

    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. No further analysis is done on the data reported from the Census Bureau.

    Variables / Data Columns

    • Gender: This column displays the Gender (Male / Female)
    • Population: The population of the gender in the Red House town is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Red House town 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 Red House town Population by Gender. You can refer the same here

  14. N

    White House, TN Hispanic or Latino Population Distribution by Their...

    • neilsberg.com
    csv, json
    Updated Aug 18, 2023
    + more versions
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    Neilsberg Research (2023). White House, TN Hispanic or Latino Population Distribution by Their Ancestries [Dataset]. https://www.neilsberg.com/research/datasets/6e13cf90-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Aug 18, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Tennessee, White House
    Variables measured
    Hispanic or Latino population with Cuban ancestry, Hispanic or Latino population with Mexican ancestry, Hispanic or Latino population with Puerto Rican ancestry, Hispanic or Latino population with Other Hispanic or Latino ancestry, Hispanic or Latino population with Cuban ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Mexican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Puerto Rican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Other Hispanic or Latino ancestry as Percent of Total Hispanic Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Origin / Ancestry for Hispanic population and (b) respective population as a percentage of the total Hispanic population, we initially analyzed and categorized the data for each of the ancestries across the Hispanic or Latino population. It is ensured that the population estimates used in this dataset pertain exclusively to ancestries for the Hispanic or Latino population. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the White House Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of White House, 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 White House.

    Key observations

    Among the Hispanic population in White House, regardless of the race, the largest group is of Mexican origin, with a population of 566 (75.07% of the total Hispanic population).

    https://i.neilsberg.com/ch/white-house-tn-population-by-race-and-ethnicity.jpeg" alt="White House Non-Hispanic population by race">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Origin for Hispanic or Latino population include:

    • Mexican
    • Black or African American
    • Puerto Rican
    • Cuban
    • Other Hispanic or Latino

    Variables / Data Columns

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

  15. N

    Dataset for Washington Court House, OH Census Bureau Demographics and...

    • neilsberg.com
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Dataset for Washington Court House, OH Census Bureau Demographics and Population Distribution Across Age // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b7bcc189-5460-11ee-804b-3860777c1fe6/
    Explore at:
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Ohio, Washington Court House
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Washington Court House population by age. The dataset can be utilized to understand the age distribution and demographics of Washington Court House.

    Content

    The dataset constitues the following three datasets

    • Washington Court House, OH Age Group Population Dataset: A complete breakdown of Washington Court House age demographics from 0 to 85 years, distributed across 18 age groups
    • Washington Court House, OH Age Cohorts Dataset: Children, Working Adults, and Seniors in Washington Court House - Population and Percentage Analysis
    • Washington Court House, OH Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

    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/.

  16. N

    Cogan House Township, Pennsylvania Population Dataset: Yearly Figures,...

    • neilsberg.com
    csv, json
    Updated Sep 18, 2023
    + more versions
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    Neilsberg Research (2023). Cogan House Township, Pennsylvania Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis [Dataset]. https://www.neilsberg.com/research/datasets/6e3a1f05-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 18, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Cogan House Township, Pennsylvania
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2022, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2022. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2022. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Cogan House township population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Cogan House township across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2022, the population of Cogan House township was 927, a 0.54% decrease year-by-year from 2021. Previously, in 2021, Cogan House township population was 932, a decline of 0.11% compared to a population of 933 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Cogan House township decreased by 42. In this period, the peak population was 969 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2022

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2022)
    • Population: The population for the specific year for the Cogan House township is shown in this column.
    • Year on Year Change: This column displays the change in Cogan House township population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. 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 Cogan House township Population by Year. You can refer the same here

  17. N

    Washington Court House, OH annual median income by age groups dataset (in...

    • neilsberg.com
    csv, json
    Updated Jan 8, 2024
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    Neilsberg Research (2024). Washington Court House, OH annual median income by age groups dataset (in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/b6d6b484-8db0-11ee-9302-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 8, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Ohio, Washington Court House
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the distribution of median household income among distinct age brackets of householders in Washington Court House. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Washington Court House. 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 2021

    In terms of income distribution across age cohorts, in Washington Court House, householders within the 25 to 44 years age group have the highest median household income at $66,299, followed by those in the 45 to 64 years age group with an income of $50,040. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $39,555. Notably, householders within the under 25 years age group, had the lowest median household income at $37,907.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-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 2022 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 Washington Court House median household income by age. You can refer the same here

  18. N

    House, NM Hispanic or Latino Population Distribution by Ancestries Dataset :...

    • neilsberg.com
    csv, json
    Updated Jul 7, 2024
    + more versions
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    Neilsberg Research (2024). House, NM Hispanic or Latino Population Distribution by Ancestries Dataset : Detailed Breakdown of Hispanic or Latino Origins // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/6021e926-2314-11ef-bd92-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 7, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    House, New Mexico
    Variables measured
    Hispanic or Latino population with Cuban ancestry, Hispanic or Latino population with Mexican ancestry, Hispanic or Latino population with Puerto Rican ancestry, Hispanic or Latino population with Other Hispanic or Latino ancestry, Hispanic or Latino population with Cuban ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Mexican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Puerto Rican ancestry as Percent of Total Hispanic Population, Hispanic or Latino population with Other Hispanic or Latino ancestry as Percent of Total Hispanic Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Origin / Ancestry for Hispanic population and (b) respective population as a percentage of the total Hispanic population, we initially analyzed and categorized the data for each of the ancestries across the Hispanic or Latino population. It is ensured that the population estimates used in this dataset pertain exclusively to ancestries for the Hispanic or Latino population. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the House Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of House, 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 House.

    Key observations

    Among the Hispanic population in House, regardless of the race, the largest group is of Mexican origin, with a population of 3 (100% of the total Hispanic population).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 House
    • Population: The population of the specific origin for Hispanic or Latino population in the House is shown in this column.
    • % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of House 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 House Population by Race & Ethnicity. You can refer the same here

  19. N

    White House, TN Non-Hispanic Population Breakdown By Race Dataset:...

    • neilsberg.com
    csv, json
    Updated Jul 7, 2024
    + more versions
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    Neilsberg Research (2024). White House, TN Non-Hispanic Population Breakdown By Race Dataset: Non-Hispanic Population Counts and Percentages for 7 Racial Categories as Identified by the US Census Bureau // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/e15b8238-2310-11ef-bd92-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 7, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Tennessee, White House
    Variables measured
    Non-Hispanic Asian Population, Non-Hispanic Black Population, Non-Hispanic White Population, Non-Hispanic Some other race Population, Non-Hispanic Two or more races Population, Non-Hispanic American Indian and Alaska Native Population, Non-Hispanic Native Hawaiian and Other Pacific Islander Population, Non-Hispanic Asian Population as Percent of Total Non-Hispanic Population, Non-Hispanic Black Population as Percent of Total Non-Hispanic Population, Non-Hispanic White Population as Percent of Total Non-Hispanic Population, and 4 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) Non-Hispanic population and (b) population as a percentage of the total Non-Hispanic population, we initially analyzed and categorized the data for each of the racial categories idetified by the US Census Bureau. It is ensured that the population estimates used in this dataset pertain exclusively to the identified racial categories, and are part of Non-Hispanic classification. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    Of the Non-Hispanic population in White House, the largest racial group is White alone with a population of 11,764 (92.48% of the total Non-Hispanic population).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 White House
    • Population: The population of the racial category (for Non-Hispanic) in the White House is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each race as a proportion of White House 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 White House Population by Race & Ethnicity. You can refer the same here

  20. N

    Median Household Income by Racial Categories in Snellville, GA (, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
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    Neilsberg Research (2025). Median Household Income by Racial Categories in Snellville, GA (, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/insights/snellville-ga-median-household-income-by-race/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Snellville, Georgia
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in Snellville. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of Snellville population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 40.01% of the total residents in Snellville. Notably, the median household income for Black or African American households is $80,156. Interestingly, despite the Black or African American population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $146,003. This reveals that, while Black or African Americans may be the most numerous in Snellville, Asian households experience greater economic prosperity in terms of median household income.

    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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Snellville.
    • Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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

Share
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Email
Click to copy link
Link copied
Close
Cite
Neilsberg Research (2023). Red House, New York Age Group Population Dataset: A complete breakdown of Red House town age demographics from 0 to 85 years, distributed across 18 age groups [Dataset]. https://www.neilsberg.com/research/datasets/711a1564-3d85-11ee-9abe-0aa64bf2eeb2/

Red House, New York Age Group Population Dataset: A complete breakdown of Red House town age demographics from 0 to 85 years, distributed across 18 age groups

Explore at:
json, csvAvailable download formats
Dataset updated
Sep 16, 2023
Dataset authored and provided by
Neilsberg Research
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
New York, Red House
Variables measured
Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
Measurement technique
The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
Dataset funded by
Neilsberg Research
Description
About this dataset

Context

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

Key observations

The largest age group in Red House, New York was for the group of age 40-44 years with a population of 8 (27.59%), according to the 2021 American Community Survey. At the same time, the smallest age group in Red House, New York was the 5-9 years with a population of 0 (0.00%). 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 Red House town is shown in this column.
  • % of Total Population: This column displays the population of each age group as a proportion of Red House town 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 Red House town Population by Age. You can refer the same here

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