Graph and download economic data for Number of Bank Branches for United States (DDAI02USA643NWDB) from 2004 to 2019 about banks, depository institutions, and USA.

The estimated number of banks and thrifts in the United States fell from around 31,000 in 1920 to 26,000 in 1929, when the onset of the Great Depression would then see it fall further, below 15,000 in 1933. This marks a cumulative decline of over 16,000 banks and thrifts, which is equal to a drop of more than 52 percent in 13 years. Tumultuous Twenties Despite the economic prosperity associated with the Roarin' 1920s in the U.S., it was a tumultuous decade in financial terms, with more separate recessions than any other decade. However, the 1920s was also privy to frivolous lending policies among many banks, which saw the banking sector collapse in the wake of the Wall Street Crash in 1929. Many banks failed as the Great Depression and unemployment spread across the country, and customers or businesses could not afford to repay their loans. It was only after this financial crisis where the federal government began keeping more stringent and accurate records on its banking sector, therefore precise figures and the reasons behind these bank failures are not always clear. Franklin D. Roosevelt Just two days after assuming office in 1933, Franklin D. Roosevelt drastically declared a bank holiday, and all banks in the country were closed from March 6 until March 13. This break allowed Congress to pass the Emergency Banking Act on March 9, which saw the Federal Reserve provide deposit insurance for all reopened banks thereafter. Through his first fireside chat, Roosevelt then encouraged Americans to re-deposit their money in the banks again, which successfully restored much of the public's faith in the banking system - it is estimated that over half of the cash withdrawn during the Great Depression was then returned to the banks by March 15.

This data set is a digitized version of “All-Bank Statistics, United States, 1896-1955,” (ABS) which the Board of Governors of the Federal Reserve System published in 1959. That volume contained annual aggregate balance sheet aggregates for all depository institutions by state and class of institution for the years 1896 to 1955. The depository institutions include nationally chartered commercial banks, state chartered commercial banks, and private banks as well as mutual savings bank and building and loan societies. The data comes from the last business day of the year or the closest available data. This digital version of ABS contains all data in the original source and only data from the original source.This data set is similar to ICPSR 2393, “U.S. Historical Data on Bank Market Structure, ICPSR 2393” by Mark Flood. ICPSR 2393 reports data from ABS but excludes subcategories of data useful for analyzing the liquidity of bank balance sheets, the operation of financial markets, the functioning of the financial network, and depository institutions’ contribution to monetary aggregates. ICPSR 2393, for example, reports total cash assets from ABS but does not report the subcomponents of that total: bankers balances, cash in banks’ own vaults, and items in the process of collection. Those data are needed to understand how much liquidity banks kept on hand, how much liquidity banks stored in or hoped to draw from reserve depositories, and how much of the apparent cash in the financial system was double-counted checks in the process of collection, commonly called float. Those data are also needed to understand the contribution of commercial banks to the aggregate money supply since cash in banks’ vaults counts within monetary aggregates while interbank deposits and float do not. While this dataset provides comprehensive and complete data from ABS, ICPSR 2393 contains information from other sources that researchers may find valuable including data from the aggregate income statements of nationally chartered banks and regulatory variables. To facilitate the use of that information, the naming conventions in this data set are consistent with those in ICPSR 2393.

Graph and download economic data for Other Deposits, All Commercial Banks (ODSACBW027SBOG) from 2009-07-01 to 2025-06-11 about deposits, banks, depository institutions, and USA.

Bank Rankings by Total Assets

Tracking the Financial Performance of the Top Banks

By Arthur Keen [source]

About this dataset

This dataset contains the top 100 global banks ranked by total assets on December 31, 2017. With a detailed list of key information for each bank's rank, country, balance sheet and US Total Assets (in billions), this data will be invaluable for those looking to research and study the current status of some of the world's leading financial organizations. From billion-dollar mega-banks such as JP Morgan Chase to small, local savings & loans institutions like BancorpSouth; this comprehensive overview allows researchers and analysts to gain a better understanding of who holds power in the world economy today

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How to use the dataset

This dataset contains the rank and total asset information of the top 100 global banks as of December 31, 2017. It is a useful resource for researchers who wish to study how key financial institutions' asset information relate to each other across countries.

Using this dataset is relatively straightforward – it consists of three columns - rank (the order in which each bank appears in the list), country (the country in which the bank is located) and total assets US billions (the total value expressed in US dollars). Additionally, there is a fourth column containing the balance sheet information for each bank as well.

In order to make full use of this dataset, one should analyse it by creating comparison grids based on different factors such as region, size or ownership structures. This can provide an interesting insight into how financial markets are structured within different economies and allow researchers to better understand some banking sector dynamics that are particularly relevant for certain countries or regions. Additionally, one can compare any two banks side-by-side using their respective balance sheets or distribution plot graphs based on size or concentration metrics by leverage or other financial ratios as well.

Overall, this dataset provides useful resources that can be put into practice through data visualization making an interesting reference point for trends analysis and forecasting purposes focusing on certain banking activities worldwide

Research Ideas

• Analyzing the differences in total assets across countries. By comparing and contrasting data, patterns could be found that give insight into the factors driving differences in banks’ assets between different markets.

• Using predictive models to identify which banks are more likely to perform better based on their balance sheet data, such as by predicting future profits or cashflows of said banks.

• Leveraging the information on holdings and investments of “top-ranked” banks as a guide for personal investments decisions or informing investment strategies of large financial institutions or hedge funds

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: top50banks2017-03-31.csv | Column name | Description | |:----------------------|:------------------------------------------------------------------------| | rank | The rank of the bank globally based on total assets. (Integer) | | country | The country where the bank is located. (String) | | total_assets_us_b | The total assets of a bank expressed in billions of US dollars. (Float) | | balance_sheet | A snapshot of banking activities for a specific date. (Date) |

File: top100banks2017-12-31.csv | Column name | Description | |:----------------------|:--------------------------------------------...

Graph and download economic data for Commercial Banks in the U.S. (DISCONTINUED) (USNUM) from Q1 1984 to Q3 2020 about commercial, banks, depository institutions, and USA.

United States - Total Assets, All Commercial Banks was 24386.47550 Bil. of U.S. $ in June of 2025, according to the United States Federal Reserve. Historically, United States - Total Assets, All Commercial Banks reached a record high of 24386.47550 in June of 2025 and a record low of 699.56240 in January of 1973. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Assets, All Commercial Banks - last updated from the United States Federal Reserve on June of 2025.

Q - What makes your data unique?
A - The data is based on Efficient Frontier Analysis (EFA) which accurately measures bank performance but also reveals the best level of performance for the given business portfolio of each bank as well as the optimal business portfolio for maximizing profit. The ratings are superior to any traditional or other measures of bank operational efficiency and business quality because they not only measure performance, but indicate the limits of performance based on the underlying business portfolio of each bank. Using EFA also eliminates the "noise" of industry and economic trends because the Efficient Frontier moves with such trends and automatically accounts for them. Further, Efficient Frontiers exist for each reported expense item allowing detailed ratings of each resource of a bank's operations. Q - How is the data generally sourced?
A - The ratings are generated using data from bank Call Reports filed with the FDIC quarterly. The Call Reports contain vast amounts of data on the financial and operating results of each bank and provides a robust and consistent set of measures from which to generate Efficient Frontiers. Because all banks with FDIC insurance must file Call Reports with the FDIC, we can provide ratings on more than 99% of all FDIC insured banks. Q - What are the primary use-cases or verticals of this Data Product? A - Investors use the measures to differentiate high performing banks from the pack or identify improving or declining banks. PE and other acquirers/owner firms will do likewise, as well as seek insights on how to best improve performance of portfolio companies, target acquisitions, model post-acquisition integrations, etc. Bank management use the measures to identify competitive advantages and weaknesses as well as measuring the potential benefit of improving/retaining a level of performance relative to peers. Q - How does this Data Product fit into your broader data offering? A - Hoeg & Company, Ltd. provides Operational Efficiency & Business Quality Ratings on Banks, Credit Unions & Insurers using EFA. These financial industries all have rigorous regulatory requirements and standards for financial and operational performance reporting (Call Reports & Statutory Financial Reports) which assures detailed, accurate and consistent data that facilitates EFA. Our bank ratings are our most extensively produced set of ratings.

The FFIEC 002 is mandated by the International Banking Act (IBA) of 1978. It collects balance sheet and off-balance-sheet information, including detailed supporting schedule items, from all U.S. branches and agencies of foreign banks. The FFIEC 002S collects information on assets and liabilities of any non-U.S. branch that is managed or controlled by a U.S. branch or agency of a foreign bank.

About this dataset

Context

The dataset tabulates the population of Banks by race. It includes the population of Banks across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Banks across relevant racial categories.

Key observations

The percent distribution of Banks population by race (across all racial categories recognized by the U.S. Census Bureau): 75.81% are white, 0.72% are Black or African American, 1.43% are Asian, 0.72% are Native Hawaiian and other Pacific Islander, 8.27% are some other race and 13.05% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Banks
• Population: The population of the racial category (excluding ethnicity) in the Banks is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race 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 Race & Ethnicity. You can refer the same here

The FR 2644 is a balance sheet report that is collected as of each Wednesday from an authorized stratified sample of 875 domestically chartered commercial banks and U.S. branches and agencies of foreign banks. The FR 2644 is the only source of high-frequency data used in the analysis of current banking developments. The FR 2644 collects sample data that are used to estimate universe levels for the entire commercial banking sector in conjunction with data from the quarterly commercial bank Consolidated Reports of Condition and Income (FFIEC 031, FFIEC 041, and FFIEC 051; OMB No. 7100-0036) and the Report of Assets and Liabilities of U.S. Branches and Agencies of Foreign Banks (FFIEC 002; OMB No. 7100-0032) (Call Reports). Data from the FR 2644 and the Call Reports are utilized in construction of weekly estimates of U.S. bank credit, balance sheet data for the U.S. commercial banking sector, and sources and uses of banks' funds, and to analyze current banking developments, including the monitoring of broad credit and funding conditions. The Board publishes the data in aggregate form in the weekly H.8 statistical release, Assets and Liabilities of Commercial Banks in the United States, which is followed closely by other government agencies, the banking industry, financial press, and other users. The H.8 release provides a balance sheet for the commercial banking industry as a whole as well as disaggregated data for three bank groups: large domestically chartered banks, small domestically chartered banks, and U.S. branches and agencies of foreign banks.

Graph and download economic data for Commercial Banks in the U.S. with average assets under $1B (DISCONTINUED) (US1NUM) from Q1 1984 to Q3 2020 about commercial, assets, banks, depository institutions, and USA.

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, AR was for the group of age 5 to 9 years years with a population of 19 (14.96%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Banks, AR was the 55 to 59 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

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

Age groups:

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

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

Over the course of the 1920s, the value of money deposited in commercial banks grew at a fairly steady rate, rising from around 19 billion U.S. dollars in 1921 (the initial dip was due to the post-WWI recession), to 25 billion at the end of the decade. However, the onset of the Great Depression saw these figures drop drastically, and the value of deposits fell from around 26 to 16 billion dollars between 1930 and 1933. This was not only due to high unemployment and lower wages, but many Americans also lost faith in the banks during the Depression - many blamed the banks for the Depression as frivolous lending practices had contributed to the Wall Street Crash; banks demanded early repayment of debts and often repossessed the property of those who could not afford to do so (also leading to evictions), and many banks failed after the Crash and were not perceived as safe. It was not until 1936 where deposits in commercial banks returned to their pre-Depression levels, after the Roosevelt administration put a number of safeguards in place and helped restore public faith in the American banking system.

In contrast to commercial banks, the total amount of money deposited in savings accounts continued to rise throughout the Great Depression, albeit at a much slower rate than in the 1920s. The reason for continued increase was due to the disproportionate impact the Depression had across socioeconomic groups - most working and middle-class Americans did not have the means to have a savings account

In 2023, the number of data compromises in the financial services industry in the United States reached 744, up from 138 such incidents in 2020. The financial services sector was the second-most targeted industry by cyber security incidents resulting in data compromise. The number of data compromises includes data breaches, as well as exposure and leakage of private data.

Graph and download economic data for Total Assets, All Commercial Banks (TLAACBW027SBOG) from 1973-01-03 to 2025-06-11 about assets, banks, depository institutions, and USA.

United States Domestic Banks: sa: Other Assets data was reported at 1,301.538 USD bn in Jun 2018. This records a decrease from the previous number of 1,306.913 USD bn for May 2018. United States Domestic Banks: sa: Other Assets data is updated monthly, averaging 171.187 USD bn from Jan 1973 (Median) to Jun 2018, with 546 observations. The data reached an all-time high of 1,374.234 USD bn in Oct 2010 and a record low of 27.686 USD bn in Jan 1973. United States Domestic Banks: sa: Other Assets data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KB006: Balance Sheet: Commercial Banks: Domestic Chartered Commercial Banks: Monthly.

United States Domestic Banks: Credit: LL: Others: OLL: Not Elsehwhere Classified data was reported at 705.313 USD bn in Jun 2018. This records an increase from the previous number of 699.223 USD bn for May 2018. United States Domestic Banks: Credit: LL: Others: OLL: Not Elsehwhere Classified data is updated monthly, averaging 659.357 USD bn from Jan 2015 (Median) to Jun 2018, with 42 observations. The data reached an all-time high of 705.313 USD bn in Jun 2018 and a record low of 572.807 USD bn in Feb 2015. United States Domestic Banks: Credit: LL: Others: OLL: Not Elsehwhere Classified data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KB006: Balance Sheet: Commercial Banks: Domestic Chartered Commercial Banks: Monthly.

United States Domestic Banks: sa: Total Assets data was reported at 14,480.044 USD bn in Jun 2018. This records an increase from the previous number of 14,444.587 USD bn for May 2018. United States Domestic Banks: sa: Total Assets data is updated monthly, averaging 3,591.727 USD bn from Jan 1973 (Median) to Jun 2018, with 546 observations. The data reached an all-time high of 14,480.044 USD bn in Jun 2018 and a record low of 682.703 USD bn in Jan 1973. United States Domestic Banks: sa: Total Assets data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KB006: Balance Sheet: Commercial Banks: Domestic Chartered Commercial Banks: Monthly.

Banks Balance Sheet in the United States increased to 24262.20 USD Billion in June 4 from 24182 USD Billion in the previous week. This dataset provides - United States Banks Balance Sheet - actual values, historical data, forecast, chart, statistics, economic calendar and news.