6 datasets found
  1. N

    French Camp, MS median household income breakdown by race betwen 2013 and...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
    Share
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    Neilsberg Research (2025). French Camp, MS median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/research/datasets/ed176842-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
    French Camp
    Variables measured
    Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends 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 from 2013 to 2023. 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 incomes over the past decade across various racial categories identified by the U.S. Census Bureau in French Camp. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

    Key observations

    • White: In French Camp, the median household income for the households where the householder is White decreased by $12,146(11.29%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $107,563 in 2013 and $95,417 in 2023.
    • Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2013 and 2023.
    • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
    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 French Camp.
    • 2010: 2010 median household income
    • 2011: 2011 median household income
    • 2012: 2012 median household income
    • 2013: 2013 median household income
    • 2014: 2014 median household income
    • 2015: 2015 median household income
    • 2016: 2016 median household income
    • 2017: 2017 median household income
    • 2018: 2018 median household income
    • 2019: 2019 median household income
    • 2020: 2020 median household income
    • 2021: 2021 median household income
    • 2022: 2022 median household income
    • 2023: 2023 median household income
    • Please note: All incomes have been adjusted for inflation and are 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 French Camp median household income by race. You can refer the same here

  2. N

    French Township, Minnesota median household income breakdown by race betwen...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
    Share
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    Cite
    Neilsberg Research (2025). French Township, Minnesota median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/insights/french-township-mn-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
    Minnesota, French Township
    Variables measured
    Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends 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 from 2013 to 2023. 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 incomes over the past decade across various racial categories identified by the U.S. Census Bureau in French township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

    Key observations

    • White: In French township, the median household income for the households where the householder is White increased by $14,085(17.96%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $78,415 in 2013 and $92,500 in 2023.
    • Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2013 and 2023.
    • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
    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 French township.
    • 2010: 2010 median household income
    • 2011: 2011 median household income
    • 2012: 2012 median household income
    • 2013: 2013 median household income
    • 2014: 2014 median household income
    • 2015: 2015 median household income
    • 2016: 2016 median household income
    • 2017: 2017 median household income
    • 2018: 2018 median household income
    • 2019: 2019 median household income
    • 2020: 2020 median household income
    • 2021: 2021 median household income
    • 2022: 2022 median household income
    • 2023: 2023 median household income
    • Please note: All incomes have been adjusted for inflation and are 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 French township median household income by race. You can refer the same here

  3. F

    Caucasian Facial Images Dataset | Selfie & ID Card Images

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). Caucasian Facial Images Dataset | Selfie & ID Card Images [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-selfie-id-caucasian
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Welcome to the Caucasian Human Facial Images Dataset, meticulously curated to enhance face recognition models and support the development of advanced biometric identification systems, KYC models, and other facial recognition technologies.

    Facial Image Data

    This dataset comprises over 1,000 Caucasian individual facial image sets, with each set including:

    Selfie Images: 5 different high-quality selfie images per individual.
    ID Card Images: 2 high-quality images of the individual’s face from different ID cards.

    Diversity and Representation

    The dataset includes contributions from a diverse network of individuals across Caucasian countries.

    Geographical Representation: Participants from Caucasian countries, including Spain, Italy, Turkey, Germany, France, and more.
    Participant Profile: Participants range from 18 to 70 years old, representing both males and females in a 60:40 ratio, respectively.
    File Format: The dataset contains images in JPEG and HEIC file format.

    Quality and Conditions

    To ensure high utility and robustness, all images are captured under varying conditions:

    Lighting Conditions: Images are taken in different lighting environments to ensure variability and realism.
    Backgrounds: A variety of backgrounds are available to enhance model generalization.
    Device Quality: Photos are taken using the latest mobile devices to ensure high resolution and clarity.

    Metadata

    Each facial image set is accompanied by detailed metadata for each participant, including:

    Unique Identifier
    File Name
    Age
    Gender
    Country
    Demographic Information
    File Format

    This metadata is essential for training models that can accurately recognize and identify faces across different demographics and conditions.

    Usage and Applications

    This facial image dataset is ideal for various applications in the field of computer vision, including but not limited to:

    Facial Recognition Models: Improving the accuracy and reliability of facial recognition systems.
    KYC Models: Streamlining the identity verification processes for financial and other services.
    Biometric Identity Systems: Developing robust facial biometric identification solutions.
    Age Prediction Models: Training models to accurately predict the age of individuals based on facial features.
    Generative AI Models: Training generative AI models to create realistic and diverse synthetic facial images.

    Secure and Ethical Collection

    Data was securely stored and processed within our platform, ensuring data security and confidentiality.
    The biometric data collection process adhered to strict ethical guidelines, ensuring the privacy and consent of all participants.
    All participants were informed of the purpose of collection and potential use of the data, as agreed through written consent. Also, demographic-related regulations are kept in mind.

    Updates and Customization

    We understand the evolving nature of AI and machine learning requirements. Therefore, we continuously add more assets with diverse conditions to this off-the-shelf facial image dataset.

    <span

  4. F

    Caucasian Children Facial Image Dataset

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    Share
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    FutureBee AI (2022). Caucasian Children Facial Image Dataset [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-minor-caucasian
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Welcome to the Caucasian Child Faces Dataset, meticulously curated to enhance face recognition models and support the development of advanced biometric identification systems, child identification models, and other facial recognition technologies.

    Facial Image Data

    This dataset comprises over 3,000 child image sets, divided into participant-wise sets with each set including:

    Facial Images: 15 different high-quality images per child.

    Diversity and Representation

    The dataset includes contributions from a diverse network of children across Caucasian countries:

    Geographical Representation: Participants from Caucasian countries, including Spain, Italy, Turkey, Germany, France, and more.
    Demographics: Participants are children under the age of 18, representing both males and females.
    File Format: The dataset contains images in JPEG and HEIC file format.

    Quality and Conditions

    To ensure high utility and robustness, all images are captured under varying conditions:

    Lighting Conditions: Images are taken in different lighting environments to ensure variability and realism.
    Backgrounds: A variety of backgrounds are available to enhance model generalization.
    Device Quality: Photos are taken using the latest mobile devices to ensure high resolution and clarity.

    Metadata

    Each facial image set is accompanied by detailed metadata for each participant, including:

    Participant Identifier
    File Name
    Age
    Gender
    Country
    Demographic Information
    File Format

    This metadata is essential for training models that can accurately recognize and identify children's faces across different demographics and conditions.

    Usage and Applications

    This facial image dataset is ideal for various applications in the field of computer vision, including but not limited to:

    Facial Recognition Models: Improving the accuracy and reliability of facial recognition systems.
    KYC Models: Streamlining the identity verification processes for financial and other services.
    Biometric Identity Systems: Developing robust biometric identification solutions.
    Child Identification Models: Training models to accurately identify children in various scenarios.
    Age Prediction Models: Training models to accurately predict the age of minors based on facial features.
    Generative AI Models: Training generative AI models to create realistic and diverse synthetic facial images.

    Secure and Ethical Collection

    Data Security: Data was securely stored and processed within our platform, ensuring data security and confidentiality.
    Ethical Guidelines: The biometric data collection process adhered to strict ethical guidelines, ensuring the privacy and consent of all participants’ guardians.
    Participant Consent: The guardians were informed of the purpose of collection and potential use of the data, as agreed through written consent.

    Updates and

  5. F

    Caucasian Facial Expression Images Dataset

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FutureBee AI (2022). Caucasian Facial Expression Images Dataset [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-expression-caucasian
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Welcome to the Caucasian Facial Expression Image Dataset, meticulously curated to enhance expression recognition models and support the development of advanced biometric identification systems, KYC models, and other facial recognition technologies.

    Facial Expression Data

    This dataset comprises over 1000 facial expression images, divided into participant-wise sets with each set including:

    Expression Images: 5 different high-quality images per individual, each capturing a distinct facial emotion like Happy, Sad, Angry, Shocked, and Neutral.

    Diversity and Representation

    The dataset includes contributions from a diverse network of individuals across Caucasian countries, such as:

    Geographical Representation: Participants from Caucasian countries, including Spain, Italy, Turkey, Germany, France, and more.
    Participant Profile: Participants range from 18 to 70 years old, representing both males and females in 60:40 ratio, respectively.
    File Format: The dataset contains images in JPEG and HEIC file format.

    Quality and Conditions

    To ensure high utility and robustness, all images are captured under varying conditions:

    Lighting Conditions: Images are taken in different lighting environments to ensure variability and realism.
    Backgrounds: A variety of backgrounds are available to enhance model generalization.
    Device Quality: Photos are taken using the latest mobile devices to ensure high resolution and clarity.

    Metadata

    Each facial expression image set is accompanied by detailed metadata for each participant, including:

    Participant Identifier
    File Name
    Age
    Gender
    Country
    Expression
    Demographic Information
    File Format

    This metadata is essential for training models that can accurately recognize and identify expressions across different demographics and conditions.

    Usage and Applications

    This facial emotion dataset is ideal for various applications in the field of computer vision, including but not limited to:

    Expression Recognition Models: Improving the accuracy and reliability of facial expression recognition systems.
    KYC Models: Streamlining the identity verification processes for financial and other services.
    Biometric Identity Systems: Developing robust biometric identification solutions.
    Generative AI Models: Training generative AI models to create realistic and diverse synthetic facial images.

    Secure and Ethical Collection

    Data Security: Data was securely stored and processed within our platform, ensuring data security and confidentiality.
    Ethical Guidelines: The biometric data collection process adhered to strict ethical guidelines, ensuring the privacy and consent of all participants.
    Participant Consent: All participants were informed of the purpose of collection and potential use of the data, as agreed through written consent.

    Updates and Customization

    We understand the evolving nature of AI and machine learning requirements. Therefore, we continuously add more assets with diverse conditions to this off-the-shelf facial expression dataset.

    Customization & Custom Collection Options:
    <div

  6. N

    French Creek, New York median household income breakdown by race betwen 2013...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Neilsberg Research (2025). French Creek, New York median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/research/datasets/ed1768c5-f665-11ef-a994-3860777c1fe6/
    Explore at:
    json, csvAvailable 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
    New York, French Creek
    Variables measured
    Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends 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 from 2013 to 2023. 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 incomes over the past decade across various racial categories identified by the U.S. Census Bureau in French Creek town. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

    Key observations

    • White: In French Creek town, the median household income for the households where the householder is White increased by $28,484(52.43%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $54,329 in 2013 and $82,813 in 2023.
    • Black or African American: As per the U.S. Census Bureau population data, in French Creek town, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
    • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
    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 French Creek town.
    • 2010: 2010 median household income
    • 2011: 2011 median household income
    • 2012: 2012 median household income
    • 2013: 2013 median household income
    • 2014: 2014 median household income
    • 2015: 2015 median household income
    • 2016: 2016 median household income
    • 2017: 2017 median household income
    • 2018: 2018 median household income
    • 2019: 2019 median household income
    • 2020: 2020 median household income
    • 2021: 2021 median household income
    • 2022: 2022 median household income
    • 2023: 2023 median household income
    • Please note: All incomes have been adjusted for inflation and are 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 French Creek town median household income by race. You can refer the same here

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    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Neilsberg Research (2025). French Camp, MS median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/research/datasets/ed176842-f665-11ef-a994-3860777c1fe6/

French Camp, MS median household income breakdown by race betwen 2013 and 2023

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
French Camp
Variables measured
Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends 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 from 2013 to 2023. 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 incomes over the past decade across various racial categories identified by the U.S. Census Bureau in French Camp. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

  • White: In French Camp, the median household income for the households where the householder is White decreased by $12,146(11.29%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $107,563 in 2013 and $95,417 in 2023.
  • Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2013 and 2023.
  • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
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 French Camp.
  • 2010: 2010 median household income
  • 2011: 2011 median household income
  • 2012: 2012 median household income
  • 2013: 2013 median household income
  • 2014: 2014 median household income
  • 2015: 2015 median household income
  • 2016: 2016 median household income
  • 2017: 2017 median household income
  • 2018: 2018 median household income
  • 2019: 2019 median household income
  • 2020: 2020 median household income
  • 2021: 2021 median household income
  • 2022: 2022 median household income
  • 2023: 2023 median household income
  • Please note: All incomes have been adjusted for inflation and are 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 French Camp median household income by race. You can refer the same here

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