35 datasets found
  1. h

    100-richest-people-in-world

    • huggingface.co
    Updated Aug 2, 2023
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    Nate Raw (2023). 100-richest-people-in-world [Dataset]. https://huggingface.co/datasets/nateraw/100-richest-people-in-world
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 2, 2023
    Authors
    Nate Raw
    License

    https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/

    Area covered
    World
    Description

    Dataset Card for 100 Richest People In World

      Dataset Summary
    

    This dataset contains the list of Top 100 Richest People in the World Column Information:-

    Name - Person Name NetWorth - His/Her Networth Age - Person Age Country - The country person belongs to Source - Information Source Industry - Expertise Domain

      Join our Community
    
    
    
    
    
    
    
    
    
      Supported Tasks and Leaderboards
    

    [More Information Needed]

      Languages
    

    [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/100-richest-people-in-world.

  2. N

    Income Distribution by Quintile: Mean Household Income in State Center, IA...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
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    Neilsberg Research (2025). Income Distribution by Quintile: Mean Household Income in State Center, IA // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/state-center-ia-median-household-income/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 3, 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
    Iowa, State Center
    Variables measured
    Income Level, Mean Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across income quintiles (mentioned above) 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 mean household income for each of the five quintiles in State Center, IA, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

    Key observations

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 20,936, while the mean income for the highest quintile (20% of households with the highest income) is 175,827. This indicates that the top earners earn 8 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 268,271, which is 152.58% higher compared to the highest quintile, and 1281.39% higher compared to the lowest quintile.
    Content

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

    Income Levels:

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

    Variables / Data Columns

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

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for State Center median household income. You can refer the same here

  3. N

    Income Distribution by Quintile: Mean Household Income in State College, PA...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
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    Neilsberg Research (2025). Income Distribution by Quintile: Mean Household Income in State College, PA // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/state-college-pa-median-household-income/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 3, 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
    Pennsylvania, State College
    Variables measured
    Income Level, Mean Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across income quintiles (mentioned above) 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 mean household income for each of the five quintiles in State College, PA, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

    Key observations

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 7,141, while the mean income for the highest quintile (20% of households with the highest income) is 210,469. This indicates that the top earners earn 29 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 337,035, which is 160.14% higher compared to the highest quintile, and 4719.72% higher compared to the lowest quintile.
    Content

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

    Income Levels:

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

    Variables / Data Columns

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

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for State College median household income. You can refer the same here

  4. U.S. median household income 2023, by state

    • statista.com
    • ai-chatbox.pro
    Updated Sep 16, 2024
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    Statista (2024). U.S. median household income 2023, by state [Dataset]. https://www.statista.com/statistics/233170/median-household-income-in-the-united-states-by-state/
    Explore at:
    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the real median household income in the state of Alabama was 60,660 U.S. dollars. The state with the highest median household income was Massachusetts, which was 106,500 U.S. dollars in 2023. The average median household income in the United States was at 80,610 U.S. dollars.

  5. N

    Income Distribution by Quintile: Mean Household Income in State Center, IA

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Income Distribution by Quintile: Mean Household Income in State Center, IA [Dataset]. https://www.neilsberg.com/research/datasets/950209cb-7479-11ee-949f-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 11, 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
    Iowa, State Center
    Variables measured
    Income Level, Mean Household Income
    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 income quintiles (mentioned above) 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 mean household income for each of the five quintiles in State Center, IA, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

    Key observations

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 20,779, while the mean income for the highest quintile (20% of households with the highest income) is 174,532. This indicates that the top earners earn 8 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 262,044, which is 150.14% higher compared to the highest quintile, and 1261.10% higher compared to the lowest quintile.

    Mean household income by quintiles in State Center, IA (in 2022 inflation-adjusted dollars))

    Content

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

    Income Levels:

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

    Variables / Data Columns

    • Income Level: This column showcases the income levels (As mentioned above).
    • Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for State Center median household income. You can refer the same here

  6. N

    Income Distribution by Quintile: Mean Household Income in Country Club...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
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    Neilsberg Research (2025). Income Distribution by Quintile: Mean Household Income in Country Club Hills, IL // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/481cbee0-f81d-11ef-a994-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 3, 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
    Country Club Hills, Illinois
    Variables measured
    Income Level, Mean Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across income quintiles (mentioned above) 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 mean household income for each of the five quintiles in Country Club Hills, IL, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

    Key observations

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 17,156, while the mean income for the highest quintile (20% of households with the highest income) is 251,340. This indicates that the top earners earn 15 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 457,555, which is 182.05% higher compared to the highest quintile, and 2667.03% higher compared to the lowest quintile.
    Content

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

    Income Levels:

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

    Variables / Data Columns

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

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Country Club Hills median household income. You can refer the same here

  7. N

    Income Distribution by Quintile: Mean Household Income in Town And Country,...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
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    Neilsberg Research (2025). Income Distribution by Quintile: Mean Household Income in Town And Country, MO // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/48452316-f81d-11ef-a994-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 3, 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
    Missouri, Town and Country
    Variables measured
    Income Level, Mean Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across income quintiles (mentioned above) 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 mean household income for each of the five quintiles in Town And Country, MO, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

    Key observations

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 53,176, while the mean income for the highest quintile (20% of households with the highest income) is 848,049. This indicates that the top earners earn 16 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 1,320,990, which is 155.77% higher compared to the highest quintile, and 2484.18% higher compared to the lowest quintile.
    Content

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

    Income Levels:

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

    Variables / Data Columns

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

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Town And Country median household income. You can refer the same here

  8. H

    Replication Data for "Bureaucratic Capacity and Class Voting: Evidence from...

    • dataverse.harvard.edu
    Updated Jan 15, 2019
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    Kimuli Kasara; Pavithra Suryanarayan (2019). Replication Data for "Bureaucratic Capacity and Class Voting: Evidence from Across the World and the United States" [Dataset]. http://doi.org/10.7910/DVN/UQVN70
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 15, 2019
    Dataset provided by
    Harvard Dataverse
    Authors
    Kimuli Kasara; Pavithra Suryanarayan
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States, World
    Description

    Why do the rich and poor support different parties in some places? We argue that voting along class lines is more likely to occur where states can tax the income and assets of the wealthy. In low bureaucratic capacity states, the rich are less likely to participate in electoral politics because they have less to fear from redistributive policy. When wealthy citizens abstain from voting, politicians face a more impoverished electorate. Because politicians cannot credibly campaign on anti-tax platforms, they are less likely to emphasize redistribution and partisan preferences are less likely to diverge across income groups. Using cross-national survey data, we show there is more class voting in countries with greater bureaucratic capacity. We also show that class voting and fiscal capacity were correlated in the United States in the mid-1930s when state-level revenue collection and party systems were less dependent on national economic policy.

  9. N

    Income Distribution by Quintile: Mean Household Income in Country Club, MO...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
    Share
    FacebookFacebook
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    Click to copy link
    Link copied
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    Cite
    Neilsberg Research (2025). Income Distribution by Quintile: Mean Household Income in Country Club, MO // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/481cbfe7-f81d-11ef-a994-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 3, 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
    Country Club Village, Missouri
    Variables measured
    Income Level, Mean Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across income quintiles (mentioned above) 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 mean household income for each of the five quintiles in Country Club, MO, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

    Key observations

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 24,632, while the mean income for the highest quintile (20% of households with the highest income) is 231,591. This indicates that the top earners earn 9 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 385,601, which is 166.50% higher compared to the highest quintile, and 1565.45% higher compared to the lowest quintile.
    Content

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

    Income Levels:

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

    Variables / Data Columns

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

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Country Club median household income. You can refer the same here

  10. T

    GDP by Country in AMERICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
    + more versions
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    TRADING ECONOMICS (2017). GDP by Country in AMERICA [Dataset]. https://tradingeconomics.com/country-list/gdp?continent=america
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    May 30, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    2025
    Area covered
    United States
    Description

    This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  11. c

    20 Richest Counties in California

    • california-demographics.com
    Updated Jun 20, 2024
    + more versions
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    Kristen Carney (2024). 20 Richest Counties in California [Dataset]. https://www.california-demographics.com/richest_counties
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.california-demographics.com/terms_and_conditionshttps://www.california-demographics.com/terms_and_conditions

    Area covered
    California
    Description

    A dataset listing the 20 richest counties in California for 2024, including information on rank, county, population, average income, and median income.

  12. n

    20 Richest Counties in New York

    • newyork-demographics.com
    Updated Jun 20, 2024
    + more versions
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    Kristen Carney (2024). 20 Richest Counties in New York [Dataset]. https://www.newyork-demographics.com/counties_by_population
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.newyork-demographics.com/terms_and_conditionshttps://www.newyork-demographics.com/terms_and_conditions

    Area covered
    New York
    Description

    A dataset listing New York counties by population for 2024.

  13. d

    NSS Rounds Nos. 55, 61, 66 and 68 - Nutritional Intake in India: Year-,...

    • dataful.in
    Updated Jun 13, 2025
    + more versions
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    Dataful (Factly) (2025). NSS Rounds Nos. 55, 61, 66 and 68 - Nutritional Intake in India: Year-, State-, Region- and Fractile-class-wise Distribution of Persons by Percentage of Calorie Intake by Households [Dataset]. https://dataful.in/datasets/18616
    Explore at:
    csv, application/x-parquet, xlsxAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Percentage of Calorie Intake, Number of Persons
    Description

    The dataset contains year-, state-, region- and fractile-class-wise compiled data on number of persons (per thousand) among the households with different percentage levels of calorie consumption. The dataset presents the data by division of households by the level of their income (mpce fractile-class) and by percentage of calorie intake such as 70 percent, 80 percent, etc., to the actual standard requirement of 2700 kilocalories every day. Among these households with different percentages of calorie intake, the dataset presents the per thousand distribution of persons. The dataset has been compiled from Table No. 5R, 7R, 7A-R and 7-A of NSS 55th, 61st, 66th and 68th reports, respectively, from the year 2000 to 2012.

  14. o

    20 Richest Cities in Ohio

    • ohio-demographics.com
    Updated Jun 20, 2024
    + more versions
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    Kristen Carney (2024). 20 Richest Cities in Ohio [Dataset]. https://www.ohio-demographics.com/richest_cities
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    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.ohio-demographics.com/terms_and_conditionshttps://www.ohio-demographics.com/terms_and_conditions

    Area covered
    Ohio
    Description

    A dataset listing the 20 richest cities in Ohio for 2024, including information on rank, city, county, population, average income, and median income.

  15. T

    Libya GDP per capita

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Mar 31, 2025
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    TRADING ECONOMICS, Libya GDP per capita [Dataset]. https://tradingeconomics.com/libya/gdp-per-capita
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Mar 31, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    Libya
    Description

    The Gross Domestic Product per capita in Libya was last recorded at 7633.45 US dollars in 2023. The GDP per Capita in Libya is equivalent to 60 percent of the world's average. This dataset provides the latest reported value for - Libya GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  16. N

    Income Distribution by Quintile: Mean Household Income in Town And Country,...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Income Distribution by Quintile: Mean Household Income in Town And Country, MO [Dataset]. https://www.neilsberg.com/research/datasets/9509be8d-7479-11ee-949f-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 11, 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
    Town and Country
    Variables measured
    Income Level, Mean Household Income
    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 income quintiles (mentioned above) 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 mean household income for each of the five quintiles in Town And Country, MO, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

    Key observations

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 39,198, while the mean income for the highest quintile (20% of households with the highest income) is 800,926. This indicates that the top earners earn 20 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 1,201,036, which is 149.96% higher compared to the highest quintile, and 3064.02% higher compared to the lowest quintile.

    Mean household income by quintiles in Town And Country, MO (in 2022 inflation-adjusted dollars))

    Content

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

    Income Levels:

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

    Variables / Data Columns

    • Income Level: This column showcases the income levels (As mentioned above).
    • Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Town And Country median household income. You can refer the same here

  17. g

    Replication Data for: Income Inequality and State Parties: Who Gets...

    • datasearch.gesis.org
    • dataverse-staging.rdmc.unc.edu
    Updated Feb 22, 2020
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    Wright, Gerald; Rigby, Elizabeth (2020). Replication Data for: Income Inequality and State Parties: Who Gets Represented? [Dataset]. http://doi.org/10.15139/S3/XJZONF
    Explore at:
    Dataset updated
    Feb 22, 2020
    Dataset provided by
    Odum Institute Dataverse Network
    Authors
    Wright, Gerald; Rigby, Elizabeth
    Description

    Recent studies of representation at the national and state levels have provided evidence that elected officials’ votes, political parties’ platforms, and enacted policy choices are more responsive to the preferences of the affluent, while those with average incomes and the poor have little or no impact in the political process. Yet, this research on the dominance of the affluent has overlooked key partisan differences in the electorate. In this era of hyper-partisanship, we argue that representation occurs through the party system, and we test whether taking this reality into account changes the story of policy dominance by the rich. We combine data on public preferences and state party positions to test for income bias in parties’ representation of their own co-partisans. The results show an interesting pattern in which under-representation of the poor is driven by Democratic parties pushing the more liberal social policy stances of rich Democrats and Republican parties reflecting the particularly conservative economic policy preferences of Rich Republicans. Thus, we have ample evidence that the wealthy, more often than not, do call the shots, but that the degree to which this disproportionate party responsiveness produces less representative policies depends on the party in power and the policy dimension being considered. We conclude by linking this pattern of influence and “coincidental representation” to familiar changes which define the transformation of the New Deal party system.[insert article abstract]

  18. m

    20 Richest Counties in Maryland

    • maryland-demographics.com
    Updated Jun 20, 2024
    + more versions
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    Kristen Carney (2024). 20 Richest Counties in Maryland [Dataset]. https://www.maryland-demographics.com/richest_counties
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.maryland-demographics.com/terms_and_conditionshttps://www.maryland-demographics.com/terms_and_conditions

    Area covered
    Maryland
    Description

    A dataset listing the 20 richest counties in Maryland for 2024, including information on rank, county, population, average income, and median income.

  19. f

    20 Richest Counties in Florida

    • florida-demographics.com
    Updated Jun 20, 2024
    + more versions
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    Kristen Carney (2024). 20 Richest Counties in Florida [Dataset]. https://www.florida-demographics.com/richest_counties
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.florida-demographics.com/terms_and_conditionshttps://www.florida-demographics.com/terms_and_conditions

    Area covered
    Florida
    Description

    A dataset listing the 20 richest counties in Florida for 2024, including information on rank, county, population, average income, and median income.

  20. v

    20 Richest Counties in Virginia

    • virginia-demographics.com
    Updated Jun 20, 2024
    + more versions
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    Kristen Carney (2024). 20 Richest Counties in Virginia [Dataset]. https://www.virginia-demographics.com/richest_counties
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset provided by
    Cubit Planning, Inc.
    Authors
    Kristen Carney
    License

    https://www.virginia-demographics.com/terms_and_conditionshttps://www.virginia-demographics.com/terms_and_conditions

    Area covered
    Virginia
    Description

    A dataset listing the 20 richest counties in Virginia for 2024, including information on rank, county, population, average income, and median income.

Share
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TwitterTwitter
Email
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Close
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Nate Raw (2023). 100-richest-people-in-world [Dataset]. https://huggingface.co/datasets/nateraw/100-richest-people-in-world

100-richest-people-in-world

nateraw/100-richest-people-in-world

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 2, 2023
Authors
Nate Raw
License

https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/

Area covered
World
Description

Dataset Card for 100 Richest People In World

  Dataset Summary

This dataset contains the list of Top 100 Richest People in the World Column Information:-

Name - Person Name NetWorth - His/Her Networth Age - Person Age Country - The country person belongs to Source - Information Source Industry - Expertise Domain

  Join our Community









  Supported Tasks and Leaderboards

[More Information Needed]

  Languages

[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/100-richest-people-in-world.

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