37 datasets found
  1. United States US: Account: Income: Richest 60%: % Aged 15+

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States US: Account: Income: Richest 60%: % Aged 15+ [Dataset]. https://www.ceicdata.com/en/united-states/banking-indicators/us-account-income-richest-60--aged-15
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    Dataset updated
    Mar 15, 2023
    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

    Area covered
    United States
    Variables measured
    undefined
    Description

    United States US: Account: Income: Richest 60%: % Aged 15+ data was reported at 97.904 % in 2014. This records an increase from the previous number of 92.810 % for 2011. United States US: Account: Income: Richest 60%: % Aged 15+ data is updated yearly, averaging 95.357 % from Dec 2011 (Median) to 2014, with 2 observations. The data reached an all-time high of 97.904 % in 2014 and a record low of 92.810 % in 2011. United States US: Account: Income: Richest 60%: % Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Banking Indicators. Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (income, richest 60%, % age 15+). [ts: data are available for multiple waves].; ; Demirguc-Kunt et al., 2015, Global Financial Inclusion Database, World Bank.; Weighted average;

  2. F

    Share of Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles)...

    • fred.stlouisfed.org
    json
    Updated Jun 20, 2025
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    (2025). Share of Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBSTP1300
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    jsonAvailable download formats
    Dataset updated
    Jun 20, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Share of Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles) (WFRBSTP1300) from Q3 1989 to Q1 2025 about shares, net worth, wealth, percentile, Net, and USA.

  3. 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
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    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.

  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/
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    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. States with the most billionaires in the U.S. 2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 27, 2025
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    Statista (2025). States with the most billionaires in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1125668/leading-states-billionaires-us/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 8, 2024
    Area covered
    United States
    Description

    As of March 2024, California was the U.S. state with most billionaires, with *** billionaires calling the state home. New York was second, with *** resident billionaires.

  6. i

    Richest Zip Codes in West Virginia

    • incomebyzipcode.com
    Updated Dec 18, 2024
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    Cubit Planning, Inc. (2024). Richest Zip Codes in West Virginia [Dataset]. https://www.incomebyzipcode.com/westvirginia
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    Dataset updated
    Dec 18, 2024
    Dataset authored and provided by
    Cubit Planning, Inc.
    License

    https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS

    Area covered
    West Virginia
    Description

    A dataset listing the richest zip codes in West Virginia per the most current US Census data, including information on rank and average income.

  7. U.S. gross domestic product 2023, by state

    • statista.com
    • ai-chatbox.pro
    Updated Jul 5, 2024
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    Statista (2024). U.S. gross domestic product 2023, by state [Dataset]. https://www.statista.com/statistics/248023/us-gross-domestic-product-gdp-by-state/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    The gross domestic product (GDP) of California was about 3.23 trillion U.S. dollars in 2023, meaning that it contributed the most out of any state to the country’s GDP in that year. In contrast, Vermont had the lowest GDP in the United States, with 35.07 billion U.S. dollars. What is GDP? Gross domestic product, or GDP, is the total monetary value of all goods and services produced by an economy within a certain time period. GDP is used by economists to determine the economic health of an area, as well as to determine the size of the economy. GDP can be determined for countries, states and provinces, and metropolitan areas. While GDP is a good measure of the absolute size of a country's economy and economic activity, it does account for many other factors, making it a poor indicator for measuring the cost or standard of living in a country, or for making cross-country comparisons. GDP of the United States The United States has the largest gross domestic product in the world as of 2023, with China, Japan, Germany, and India rounding out the top five. The GDP of the United States has almost quadrupled since 1990, when it was about 5.9 trillion U.S. dollars, to about 25.46 trillion U.S. dollars in 2022.

  8. F

    Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles)

    • fred.stlouisfed.org
    json
    Updated Jun 20, 2025
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    (2025). Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBLB50107
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 20, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles) (WFRBLB50107) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.

  9. U.S. 20 richest colleges in the U.S. FY 2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 31, 2025
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    Statista (2025). U.S. 20 richest colleges in the U.S. FY 2024 [Dataset]. https://www.statista.com/statistics/221147/the-20-richest-colleges-in-the-us/
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    Dataset updated
    Mar 31, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The university in the United States with the largest endowment market value in 2024 was Harvard University, with an endowment fund value of about 51.98 billion U.S. dollars. U.S. higher education Colleges and universities in the United States rank highly among the world’s most prestigious institutions of higher education. Many universities are particularly well known for their strong research capabilities and their connections to many Nobel Prize winning laureates.The U.S. university system is largely decentralized. Except for service academies and staff colleges, the federal government does not directly regulate universities; public universities are administered solely by the individual states. Besides the state administered public universities, there are many private universities in the United States, most are non-profit institutions, similar to the public universities, but there are also a number of institutions that rely on profit (Walden University in Minnesota, for example).In general, tuition fees are required to be paid by students at American universities. Public universities generally charge lower tuition rates to in-state students, than to out-of-state students. Private universities are often much more expensive than public ones because they do not receive funding from state governments.American students are often required to take out student loans to supplement scholarships and grants provided by diverse sources to be able to pay for tuition. Student debt has become a major issue in the United States in recent years, with many Americans unsure if they can even afford to pay off their student loans in the future.

  10. Most populated cities in the U.S. - median household income 2022

    • statista.com
    Updated Aug 30, 2024
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    Statista (2024). Most populated cities in the U.S. - median household income 2022 [Dataset]. https://www.statista.com/statistics/205609/median-household-income-in-the-top-20-most-populated-cities-in-the-us/
    Explore at:
    Dataset updated
    Aug 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In 2022, San Francisco had the highest median household income of cities ranking within the top 25 in terms of population, with a median household income in of 136,692 U.S. dollars. In that year, San Jose in California was ranked second, and Seattle, Washington third.

    Following a fall after the great recession, median household income in the United States has been increasing in recent years. As of 2022, median household income by state was highest in Maryland, Washington, D.C., Utah, and Massachusetts. It was lowest in Mississippi, West Virginia, and Arkansas. Families with an annual income of 25,000 and 49,999 U.S. dollars made up the largest income bracket in America, with about 25.26 million households.

    Data on median household income can be compared to statistics on personal income in the U.S. released by the Bureau of Economic Analysis. Personal income rose to around 21.8 trillion U.S. dollars in 2022, the highest value recorded. Personal income is a measure of the total income received by persons from all sources, while median household income is “the amount with divides the income distribution into two equal groups,” according to the U.S. Census Bureau. Half of the population in question lives above median income and half lives below. Though total personal income has increased in recent years, this wealth is not distributed throughout the population. In practical terms, income of most households has decreased. One additional statistic illustrates this disparity: for the lowest quintile of workers, mean household income has remained more or less steady for the past decade at about 13 to 16 thousand constant U.S. dollars annually. Meanwhile, income for the top five percent of workers has actually risen from about 285,000 U.S. dollars in 1990 to about 499,900 U.S. dollars in 2020.

  11. Z

    Large-scale and fine-grained phenological stage annotation of herbarium...

    • data.niaid.nih.gov
    Updated Jan 24, 2020
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    Hervé Goëau (2020). Large-scale and fine-grained phenological stage annotation of herbarium specimens datasets [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_2548629
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    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Patrick W. Sweeney
    Pamela S. Soltis
    Elizabeth R. Ellwood
    Hervé Goëau
    Katelin D. Pearson
    Gil Nelson
    Joel Sachs
    Alexis Joly
    Titouan Lorieul
    Pierre Bonnet
    Jenn M. Yost
    Jean-François Molino
    Erick Mata-Montero
    License

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

    Description

    This upload is constituted of four datasets of specimens from American herbaria covering different levels of information precision and different floras - from temperate to equatorial.

    Three of these datasets consist of selected specimens from herbaria located in different geographic and environmental regions. Each specimen of these three datasets was annotated with the following fields: family, genus, species name, fertile / non-fertile, presence / absence of flower(s), presence / absence of fruit(s). The resulting dataset was composed of 163,233 herbarium specimens belonging to 7,782 species, 1,906 genera, and 236 families. Specimens were annotated as “fertile” if any reproductive structures were present, such as sporangia (ferns), cones (gymnosperms), flowers, or fruits (angiosperms). Non-fertile specimens were those that lacked any reproductive structures.

    The fourth dataset consists of 20,371 herbarium specimens from 11 genera in the sunflower family (Asteraceae). The main difference in this dataset is that it is annotated with fine-grained phenophase scores rather than presence/absence attributes (see description below).

    Each of these datasets is described below:

    NEVP: this dataset of New England vascular plant (NEVP) specimens was produced by members of the Consortium of Northeastern Herbaria. The dataset comprises 42,658 digitized specimens that belong to 1,375 species and come from several North American institutions. Most of the specimens in this dataset are from the north-temperate region of the northeastern United States.

    FSU: this dataset was produced by the Florida State University's Robert K. Godfrey Herbarium (FSU), a collection that focuses on northern Florida and the U.S. Southeast Coastal Plain, one of North America's biodiversity hotspots. This dataset contains 54,263 digitized herbarium specimen records that belong to 3,870 species, making it the taxonomically richest dataset in this study. Most species in this dataset grow under subtropical or warm temperate conditions in the southeastern region of the United States.

    CAY: this dataset comes from the IRD’s Herbarium of French Guiana (CAY). CAY is dedicated to the Guayana Shield flora, with a strong focus on tropical tree species. This dataset is composed of 66,312 herbarium specimens that belong to 3,024 species. All digitized specimens of this herbarium are accessible online. Most specimens were collected in the tropical rainforests of French Guiana, with the remaining specimens coming mostly from Suriname and Guyana.

    PHENO: this dataset includes 20,371 herbarium specimens of 139 species in the Asteraceae produced in a study of phenological trends in the U.S. Southeast Coastal Plain. The dataset is composed of specimen records from 57 herbaria. Each recorded specimen was annotated for quartile percentages (0, 25, 50, 75, or 100%) of (i) closed buds, (ii) buds transformed into flowers, and (iii) fruits. According to the distribution of these three categories for each specimen, a phenophase code was computed.

    Datasets format

    These datasets are grouped in 3 tasks:

    fertility detection

    flowers and/or fruit detection

    phenophase classification

    The first 2 tasks are carried on the first 3 previous datasets and thus are based on the same set of images, unlike the third task which has its own disjoint set of images. This is why the dataset is presented into two separated files, one for each set of images.

    Fertility detection & flower/fruit detection

    These tasks are contained into the herbarium_fertility_annotations.zip archive. It consists of 3 files:

    metadata.csv: general information about all the herbarium specimens for these tasks

    id: specimen identifier

    collection: which of NEVP, FSU or CAY does the specimen come from

    herbarium: institution of origin of the specimen, especially for NEVP collection

    clade, family, genus, species: classification of the specimen

    URL: URL of the scan

    fertility_task.csv: specific information regarding the fertility detection task

    id: specimen identifier

    is_fertile: True if the specimen has an expression of fertility, False otherwise

    train_test_set: which subset does the specimen belong to; possible values are: train, random_test, species_test and herbarium_test

    flower_fruit_task.csv: specific information regarding the flower/fruit detection task

    id: specimen identifier, note that in this case not all the specimen described in metadata.csv are included in this task

    has_flower: True if the specimen has at least one flower, False otherwise

    has_fruit: True if the specimen has at least one fruit, False otherwise

    train_test_set: which subset does the specimen belong to; possible values are: train, random_test, species_test and herbarium_test

    Phenophase classification

    These tasks are contained into the herbarium_asteraceae_phenophase_annotations.zip archive. It consists of a single file:

    annotations.csv:

    id: specimen identifier

    URL: URL of the scan

    genus: genus of the specimen

    phenophase: integer from 1 to 9 describing the phenophase of the specimen

    train_test_set: which subset does the specimen belong to; possible values are: train and test

    Additional ressources

    More information can be found in the related paper: Lorieul, T., K. D. Pearson, E. R. Ellwood, H. Goëau, J.-F. Molino, P. W. Sweeney, J. M. Yost, J. Sachs, E. Mata-Montero, G. Nelson, P. S. Soltis, P. Bonnet, and A. Joly. 2019. Toward a large-scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras. Applications in Plant Sciences 7(3): e1233.

    For an example of usage of these datasets as well as a baseline, see: http://doi.org/10.5281/zenodo.2549996

  12. i

    Richest Zip Codes in Missouri

    • incomebyzipcode.com
    Updated Dec 18, 2024
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    Cubit Planning, Inc. (2024). Richest Zip Codes in Missouri [Dataset]. https://www.incomebyzipcode.com/missouri
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset authored and provided by
    Cubit Planning, Inc.
    License

    https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS

    Area covered
    Missouri
    Description

    A dataset listing the richest zip codes in Missouri per the most current US Census data, including information on rank and average income.

  13. c

    20 Richest Cities in California

    • california-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). 20 Richest Cities in California [Dataset]. https://www.california-demographics.com/richest_cities
    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 cities in California for 2024, including information on rank, city, county, population, average income, and median income.

  14. F

    Share of Corporate Equities and Mutual Fund Shares Held by the Top 1% (99th...

    • fred.stlouisfed.org
    json
    Updated Jun 20, 2025
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    (2025). Share of Corporate Equities and Mutual Fund Shares Held by the Top 1% (99th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBST01122
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 20, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Share of Corporate Equities and Mutual Fund Shares Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBST01122) from Q3 1989 to Q1 2025 about mutual funds, wealth, equity, percentile, corporate, and USA.

  15. i

    Richest Zip Codes in South Carolina

    • incomebyzipcode.com
    Updated Dec 18, 2024
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    Cubit Planning, Inc. (2024). Richest Zip Codes in South Carolina [Dataset]. https://www.incomebyzipcode.com/southcarolina
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset authored and provided by
    Cubit Planning, Inc.
    License

    https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS

    Area covered
    South Carolina
    Description

    A dataset listing the richest zip codes in South Carolina per the most current US Census data, including information on rank and average income.

  16. v

    20 Richest Counties in Virginia

    • virginia-demographics.com
    Updated Jun 20, 2024
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    Kristen Carney (2024). 20 Richest Counties in Virginia [Dataset]. https://www.virginia-demographics.com/counties_by_population
    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 Virginia counties by population for 2024.

  17. F

    Minimum Wealth Cutoff for the Top 0.1% (99.9th to 100th Wealth Percentiles)

    • fred.stlouisfed.org
    json
    Updated Jun 20, 2025
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    (2025). Minimum Wealth Cutoff for the Top 0.1% (99.9th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBLTP1311
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 20, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Minimum Wealth Cutoff for the Top 0.1% (99.9th to 100th Wealth Percentiles) (WFRBLTP1311) from Q3 1989 to Q3 2022 about wealth, percentile, and USA.

  18. v

    20 Richest Cities in Virginia

    • virginia-demographics.com
    Updated Jun 20, 2024
    + more versions
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    Kristen Carney (2024). 20 Richest Cities in Virginia [Dataset]. https://www.virginia-demographics.com/richest_cities
    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 cities in Virginia for 2024, including information on rank, city, county, population, average income, and median income.

  19. 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.

  20. m

    20 Richest Counties in Maryland

    • maryland-demographics.com
    Updated Jun 20, 2024
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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.

Share
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CEICdata.com (2023). United States US: Account: Income: Richest 60%: % Aged 15+ [Dataset]. https://www.ceicdata.com/en/united-states/banking-indicators/us-account-income-richest-60--aged-15
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United States US: Account: Income: Richest 60%: % Aged 15+

Explore at:
Dataset updated
Mar 15, 2023
Dataset provided by
CEIC Data
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Area covered
United States
Variables measured
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Description

United States US: Account: Income: Richest 60%: % Aged 15+ data was reported at 97.904 % in 2014. This records an increase from the previous number of 92.810 % for 2011. United States US: Account: Income: Richest 60%: % Aged 15+ data is updated yearly, averaging 95.357 % from Dec 2011 (Median) to 2014, with 2 observations. The data reached an all-time high of 97.904 % in 2014 and a record low of 92.810 % in 2011. United States US: Account: Income: Richest 60%: % Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Banking Indicators. Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (income, richest 60%, % age 15+). [ts: data are available for multiple waves].; ; Demirguc-Kunt et al., 2015, Global Financial Inclusion Database, World Bank.; Weighted average;

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