94 datasets found
  1. Largest banks in the U.S. 2024, by assets

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Largest banks in the U.S. 2024, by assets [Dataset]. https://www.statista.com/statistics/799197/largest-banks-by-assets-usa/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The “big four banks” in the United States are JPMorgan Chase, Bank of America, Wells Fargo, and Citibank. These banks are not only the largest in the United States, but also rank among the top banks worldwide by market capitalization, with JPMorgan Chase being the most valuable bank in the world. Total assets of banks As the largest bank in the United States, JPMorgan Chase had total assets worth close to *** trillion U.S. dollars as of December 2024. Despite being the bank with the highest market capitalization in the world, the bank ranked only fifth in terms of total assets worldwide, while the top four positions were all held by Chinese banks. Stability in the banking sector in the United States In the third quarter of 2024, all the "big four" banks in the United States maintained a common equity tier 1 (CET1) capital ratio significantly above the required minimum of *** percent. JPMorgan Chase reported a CET1 ratio of ***** percent. Meanwhile, the highest CET1 ratio among U.S. banks during this period was ***** percent, achieved by TD Bank, the tenth-largest bank in the country in 2024.

  2. Leading banks in the U.S. 2025, by deposits

    • statista.com
    Updated Jul 1, 2025
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    Statista (2025). Leading banks in the U.S. 2025, by deposits [Dataset]. https://www.statista.com/statistics/1372777/largest-us-banks-by-deposits/
    Explore at:
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 31, 2025
    Area covered
    United States
    Description

    As of March 2025, JPMorgan Chase had the highest value of deposits across all FDIC-insured institutions in the United States. JPMorgan Chase's value of deposits amounted to roughly *** trillion U.S. dollars, which was followed by Bank of America, with deposits just above *** trllion U.S. dollars. Wells Fargo and Citibank followed, both with deposits well over *** trillion U.S. dollars.

  3. Y-o-y quarterly net income growth of the 5 biggest banks in the U.S....

    • statista.com
    Updated Jul 25, 2023
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    Statista (2023). Y-o-y quarterly net income growth of the 5 biggest banks in the U.S. 2010-2023 [Dataset]. https://www.statista.com/statistics/1097056/biggest-us-bank-income-growth-rate-per-quarter/
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    Dataset updated
    Jul 25, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The quarterly net incomes of the U.S.' five largest banks all declined substantially in 2022 when compared to 2021. U.S. Bancorp seemed to be the most able to maintain a steady growth rate, particularly between 2012 and 2019. Bank of America, on the other hand, had notable fluctuations over the years. Despite the differences, there seems to be one thing in common: After a sharp increase in four out of the five largest U.S. banks' quarterly income growth rate in the first quarter of 2021, there was a steady decline throughout the rest of 2021. As of 2022, none of the observed banks managed to produce a positive income growth rate. In 2023, however, JPMorgan Chase, Bank of America, and Wells Fargo all performed significantly better.

  4. Total carbon dioxide emissions of the largest banks in the U.S. 2022, by...

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Total carbon dioxide emissions of the largest banks in the U.S. 2022, by scope [Dataset]. https://www.statista.com/statistics/1285429/carbon-emissions-by-largest-banks-usa-by-scope/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    Many banks today report and publish data of their environmental footprint and set targets to reduce their greenhouse gas (GHG) emissions. North America has the third highest number of member banks of the Net-Zero Banking Alliance, as ** North American banks are signatories. According to reporting of the largest banks in the United States, JPMorgan Chase reported the highest total GHG emissions in 2022. All banks' highest CO2 emissions were from scope * - indirect GHG emissions (location-based). JPMorgan Chase's scope * emissions in 2022 amounted to ******* metric tonnes of CO2 equivalent.

  5. Largest banks worldwide 2024, by assets

    • statista.com
    Updated May 9, 2025
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    Statista (2025). Largest banks worldwide 2024, by assets [Dataset]. https://www.statista.com/statistics/269845/largest-banks-in-the-world-by-total-assets/
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    Dataset updated
    May 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, the Industrial and Commercial Bank of China (ICBC) was the world's largest bank by total assets, reaching nearly 6.7 trillion U.S. dollars. The next three largest banks were also based in China: the Agricultural Bank of China, China Construction Bank, and Bank of China. The largest non-Chinese bank that year was JPMorgan Chase, with total assets exceeding four trillion U.S. dollars. Largest bank by market capitalization The value of total assets is a common measure of a bank's prosperity, and is defined as all assets owned by the bank. Another common indicator is the bank's market capitalization, which is used to determine the size of the bank. The market capitalization is the market price of one share multiplied by the number of shares outstanding. Ranked by market capitalization instead of total assets, JPMorgan Chase was the largest bank in the world in 2024, while ICBC ranked third. How do digital banks compare? Digital banks have surged in popularity over the past decade, attracting millions of customers with their convenient mobile interfaces, lower fees, and innovative financial products. Despite this impressive user growth, their financial footprint remains dwarfed by traditional banking institutions. A prime example is WeBank, which despite boasting approximately 400 million users - making it the world's largest digital bank by customer count - managed total assets of only about 74 billion U.S. dollars in 2023.

  6. T

    United States - Other Deposits, Large Domestically Chartered Commercial...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 28, 2025
    + more versions
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    TRADING ECONOMICS (2025). United States - Other Deposits, Large Domestically Chartered Commercial Banks [Dataset]. https://tradingeconomics.com/united-states/other-deposits-large-domestically-chartered-commercial-banks-bil-of-u-s-dollar-fed-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jul 28, 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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Other Deposits, Large Domestically Chartered Commercial Banks was 10515.73960 Bil. of U.S. $ in June of 2025, according to the United States Federal Reserve. Historically, United States - Other Deposits, Large Domestically Chartered Commercial Banks reached a record high of 11306.49210 in March of 2022 and a record low of 1097.43500 in April of 1985. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Other Deposits, Large Domestically Chartered Commercial Banks - last updated from the United States Federal Reserve on July of 2025.

  7. F

    Net Unrealized Gains (Losses) on Available-for-Sale Securities, Large...

    • fred.stlouisfed.org
    json
    Updated Apr 8, 2022
    + more versions
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    (2022). Net Unrealized Gains (Losses) on Available-for-Sale Securities, Large Domestically Chartered Commercial Banks (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/NUGLCBW027NBOG
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 8, 2022
    License

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

    Description

    Graph and download economic data for Net Unrealized Gains (Losses) on Available-for-Sale Securities, Large Domestically Chartered Commercial Banks (DISCONTINUED) (NUGLCBW027NBOG) from 1996-10-02 to 2022-03-30 about unrealized gains/losses, large, securities, domestic, Net, banks, depository institutions, and USA.

  8. F

    U.S. Treasury and Agency Securities, MBS, Large Domestically Chartered...

    • fred.stlouisfed.org
    json
    Updated Apr 8, 2022
    + more versions
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    (2022). U.S. Treasury and Agency Securities, MBS, Large Domestically Chartered Commercial Banks (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/TAMLCBW027NBOG
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 8, 2022
    License

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

    Description

    Graph and download economic data for U.S. Treasury and Agency Securities, MBS, Large Domestically Chartered Commercial Banks (DISCONTINUED) (TAMLCBW027NBOG) from 2015-01-07 to 2022-03-30 about charter, mortgage-backed, agency, large, domestic, Treasury, securities, banks, depository institutions, and USA.

  9. N

    Banks, OR Age Group Population Dataset: A Complete Breakdown of Banks Age...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Banks, OR Age Group Population Dataset: A Complete Breakdown of Banks Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/aa76c380-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Banks
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Banks population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Banks. The dataset can be utilized to understand the population distribution of Banks by age. For example, using this dataset, we can identify the largest age group in Banks.

    Key observations

    The largest age group in Banks, OR was for the group of age 35 to 39 years years with a population of 217 (10.60%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Banks, OR was the 80 to 84 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the Banks is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Banks total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

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

    Custom data

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

    Inspiration

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

    Recommended for further research

    This dataset is a part of the main dataset for Banks Population by Age. You can refer the same here

  10. N

    Banks, OR Median Income by Age Groups Dataset: A Comprehensive Breakdown of...

    • neilsberg.com
    csv, json
    Updated Aug 7, 2024
    + more versions
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    Neilsberg Research (2024). Banks, OR Median Income by Age Groups Dataset: A Comprehensive Breakdown of Banks Annual Median Income Across 4 Key Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a3c29f91-54ae-11ef-a42e-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Banks
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the distribution of median household income among distinct age brackets of householders in Banks. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Banks. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2022

    In terms of income distribution across age cohorts, in Banks, householders within the 25 to 44 years age group have the highest median household income at $108,246, followed by those in the under 25 years age group with an income of $86,554. Meanwhile householders within the 45 to 64 years age group report the second lowest median household income of $82,816. Notably, householders within the 65 years and over age group, had the lowest median household income at $81,999.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

    Good to know

    Margin of Error

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

    Custom data

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

    Inspiration

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

    Recommended for further research

    This dataset is a part of the main dataset for Banks median household income by age. You can refer the same here

  11. T

    United States - Securities in Bank Credit, Large Domestically Chartered...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 28, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Securities in Bank Credit, Large Domestically Chartered Commercial Banks [Dataset]. https://tradingeconomics.com/united-states/securities-in-bank-credit-large-domestically-chartered-commercial-banks-bil-of-u-s-dollar-sa-fed-data.html
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Apr 28, 2020
    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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Securities in Bank Credit, Large Domestically Chartered Commercial Banks was 4086.43090 Bil. of U.S. $ in July of 2025, according to the United States Federal Reserve. Historically, United States - Securities in Bank Credit, Large Domestically Chartered Commercial Banks reached a record high of 4111.35200 in February of 2022 and a record low of 251.99190 in April of 1985. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Securities in Bank Credit, Large Domestically Chartered Commercial Banks - last updated from the United States Federal Reserve on August of 2025.

  12. T

    United States - U.S. Treasury and Agency Securities, MBS, Large Domestically...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 2, 2020
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    TRADING ECONOMICS (2020). United States - U.S. Treasury and Agency Securities, MBS, Large Domestically Chartered Commercial Banks (DISCONTINUED) [Dataset]. https://tradingeconomics.com/united-states/u-s-treasury-and-agency-securities-mbs-large-domestically-chartered-commercial-banks-fed-data.html
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Dec 2, 2020
    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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - U.S. Treasury and Agency Securities, MBS, Large Domestically Chartered Commercial Banks (DISCONTINUED) was -16.68880 Bil. of U.S. $ in February of 2022, according to the United States Federal Reserve. Historically, United States - U.S. Treasury and Agency Securities, MBS, Large Domestically Chartered Commercial Banks (DISCONTINUED) reached a record high of 36.30490 in July of 2020 and a record low of -28.53120 in October of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - U.S. Treasury and Agency Securities, MBS, Large Domestically Chartered Commercial Banks (DISCONTINUED) - last updated from the United States Federal Reserve on August of 2025.

  13. Mobile banking customers of four largest banks in the U.S. 2024

    • statista.com
    Updated May 20, 2025
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    Statista (2025). Mobile banking customers of four largest banks in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/660416/mobile-banking-customer-numbers-of-banks-usa/
    Explore at:
    Dataset updated
    May 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    Among the four largest banks headquartered in the United States, JPMorgan Chase had the highest number of active mobile customers in 2024. Over ** million JPMorgan Chase customers were active mobile banking users. Bank of America had the second-highest number of active mobile customers, which was roughly ** million.

  14. N

    Banks, AL annual median income by age groups dataset (in 2022...

    • neilsberg.com
    csv, json
    Updated Jan 8, 2024
    + more versions
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    Neilsberg Research (2024). Banks, AL annual median income by age groups dataset (in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/b5aace95-8db0-11ee-9302-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 8, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

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

    Context

    The dataset presents the distribution of median household income among distinct age brackets of householders in Banks. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Banks. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2021

    In terms of income distribution across age cohorts, in Banks, the median household income stands at $63,053 for householders within the 65 years and over age group, followed by $47,830 for the 45 to 64 years age group. Notably, householders within the 25 to 44 years age group, had the lowest median household income at $33,655.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

    Good to know

    Margin of Error

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

    Custom data

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

    Inspiration

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

    Recommended for further research

    This dataset is a part of the main dataset for Banks median household income by age. You can refer the same here

  15. N

    Banks Township, Michigan Median Income by Age Groups Dataset: A...

    • neilsberg.com
    csv, json
    Updated Aug 7, 2024
    + more versions
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    Neilsberg Research (2024). Banks Township, Michigan Median Income by Age Groups Dataset: A Comprehensive Breakdown of Banks township Annual Median Income Across 4 Key Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a3c2a0fa-54ae-11ef-a42e-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Banks Township, Michigan
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the distribution of median household income among distinct age brackets of householders in Banks township. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Banks township. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2022

    In terms of income distribution across age cohorts, in Banks township, householders within the 45 to 64 years age group have the highest median household income at $83,734, followed by those in the 25 to 44 years age group with an income of $80,437. Meanwhile householders within the under 25 years age group report the second lowest median household income of $62,041. Notably, householders within the 65 years and over age group, had the lowest median household income at $53,755.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

    Good to know

    Margin of Error

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

    Custom data

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

    Inspiration

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

    Recommended for further research

    This dataset is a part of the main dataset for Banks township median household income by age. You can refer the same here

  16. N

    Banks, AR Population Dataset: Yearly Figures, Population Change, and Percent...

    • neilsberg.com
    csv, json
    Updated Sep 18, 2023
    + more versions
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    Neilsberg Research (2023). Banks, AR Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis [Dataset]. https://www.neilsberg.com/research/datasets/6cbef272-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 18, 2023
    Dataset authored and provided by
    Neilsberg Research
    License

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

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

    Context

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

    Key observations

    In 2022, the population of Banks was 80, a 1.23% decrease year-by-year from 2021. Previously, in 2021, Banks population was 81, a decline of 2.41% compared to a population of 83 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Banks decreased by 38. In this period, the peak population was 122 in the year 2010. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

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

    Data Coverage:

    • From 2000 to 2022

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2022)
    • Population: The population for the specific year for the Banks is shown in this column.
    • Year on Year Change: This column displays the change in Banks population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

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

    Custom data

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

    Inspiration

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

    Recommended for further research

    This dataset is a part of the main dataset for Banks Population by Year. You can refer the same here

  17. N

    Income Distribution by Quintile: Mean Household Income in Banks, AL

    • 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 Banks, AL [Dataset]. https://www.neilsberg.com/research/datasets/945c1f5d-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
    Banks, Alabama
    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 Banks, AL, 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 11,143, while the mean income for the highest quintile (20% of households with the highest income) is 103,209. 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 150,389, which is 145.71% higher compared to the highest quintile, and 1349.63% higher compared to the lowest quintile.

    Mean household income by quintiles in Banks, AL (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 Banks median household income. You can refer the same here

  18. N

    Banks, AR Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Banks, AR Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/f00e4e46-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Banks, Arkansas
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the data for the Banks, AR population pyramid, which represents the Banks population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Banks, AR, is 41.7.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Banks, AR, is 17.4.
    • Total dependency ratio for Banks, AR is 59.1.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Banks, AR is 5.8.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group for the Banks population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Banks for the selected age group is shown in the following column.
    • Population (Female): The female population in the Banks for the selected age group is shown in the following column.
    • Total Population: The total population of the Banks for the selected age group is shown in the following column.

    Good to know

    Margin of Error

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

    Custom data

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

    Inspiration

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

    Recommended for further research

    This dataset is a part of the main dataset for Banks Population by Age. You can refer the same here

  19. N

    Banks Township, Michigan Age Group Population Dataset: A Complete Breakdown...

    • neilsberg.com
    csv, json
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Banks Township, Michigan Age Group Population Dataset: A Complete Breakdown of Banks township Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/aa76c6b7-4983-11ef-ae5d-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Banks Township, Michigan
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Banks township population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Banks township. The dataset can be utilized to understand the population distribution of Banks township by age. For example, using this dataset, we can identify the largest age group in Banks township.

    Key observations

    The largest age group in Banks Township, Michigan was for the group of age 50 to 54 years years with a population of 145 (10.45%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Banks Township, Michigan was the 80 to 84 years years with a population of 26 (1.87%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the Banks township is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Banks township total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

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

    Custom data

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

    Inspiration

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

    Recommended for further research

    This dataset is a part of the main dataset for Banks township Population by Age. You can refer the same here

  20. N

    Median Household Income Variation by Family Size in Banks, AL: Comparative...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Median Household Income Variation by Family Size in Banks, AL: Comparative analysis across 7 household sizes [Dataset]. https://www.neilsberg.com/research/datasets/1aa57517-73fd-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
    Banks
    Variables measured
    Household size, Median 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 7 household sizes (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out how household income varies with the size of the family unit. 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 median household incomes for various household sizes in Banks, AL, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

    Key observations

    • Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, only 2-person households were found in Banks. The coefficient of variation (CV) is 56.48%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
    • In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 2-person households, with an income of $48,537. Additionally, the Census Bureau did not report a median household income for larger household sizes.

    https://i.neilsberg.com/ch/banks-al-median-household-income-by-household-size.jpeg" alt="Banks, AL median household income, by household size (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.

    Household Sizes:

    • 1-person households
    • 2-person households
    • 3-person households
    • 4-person households
    • 5-person households
    • 6-person households
    • 7-or-more-person households

    Variables / Data Columns

    • Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

    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 Banks median household income. You can refer the same here

Share
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Statista (2025). Largest banks in the U.S. 2024, by assets [Dataset]. https://www.statista.com/statistics/799197/largest-banks-by-assets-usa/
Organization logo

Largest banks in the U.S. 2024, by assets

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 20, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The “big four banks” in the United States are JPMorgan Chase, Bank of America, Wells Fargo, and Citibank. These banks are not only the largest in the United States, but also rank among the top banks worldwide by market capitalization, with JPMorgan Chase being the most valuable bank in the world. Total assets of banks As the largest bank in the United States, JPMorgan Chase had total assets worth close to *** trillion U.S. dollars as of December 2024. Despite being the bank with the highest market capitalization in the world, the bank ranked only fifth in terms of total assets worldwide, while the top four positions were all held by Chinese banks. Stability in the banking sector in the United States In the third quarter of 2024, all the "big four" banks in the United States maintained a common equity tier 1 (CET1) capital ratio significantly above the required minimum of *** percent. JPMorgan Chase reported a CET1 ratio of ***** percent. Meanwhile, the highest CET1 ratio among U.S. banks during this period was ***** percent, achieved by TD Bank, the tenth-largest bank in the country in 2024.

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