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 ****** in 1920 to ****** in 1929, when the onset of the Great Depression would then see it fall further, below ****** in 1933. This marks a cumulative decline of over ****** banks and thrifts, which is equal to a drop of more than ** 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 ***** 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 ******* until ********. This break allowed Congress to pass the Emergency Banking Act on *******, 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successfully restored much of the public's faith in the banking system - it is estimated that over half of the cash withdrawn during the Great Depression was then returned to the banks by ********.

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.

The H.8 release provides an estimated weekly aggregate balance sheet for all commercial banks in the United States. The release also includes separate balance sheet aggregations for several bank groups: domestically chartered commercial banks; large domestically chartered commercial banks; small domestically chartered commercial banks; and foreign-related institutions in the United States. Foreign-related institutions include U.S. branches and agencies of foreign banks as well as Edge Act and agreement corporations. Published weekly, the release is typically available to the public by 4:15 p.m. each Friday. If Friday is a federal holiday, then the data are released on Thursday.The H.8 release is primarily based on data that are reported weekly by a sample of approximately 875 domestically chartered banks and foreign-related institutions. As of December 2009, U.S. branches and agencies of foreign banks accounted for about 60 of the weekly reporters and domestically chartered banks made up the rest of the sample. Data for domestically chartered commercial banks and foreign-related institutions that do not report weekly are estimated at a weekly frequency based on quarterly Call Report data.

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.

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.

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 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.

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

Xtract.io's bank location data delivers a comprehensive geographical snapshot of the United States banking infrastructure. This dataset provides financial institutions, market researchers, and business strategists with granular insights into the distribution of top banks and their ATM networks. By mapping precise locations, organizations can analyze market penetration, identify potential expansion opportunities, and develop targeted marketing strategies. The data supports competitive intelligence, demographic studies, and strategic planning across the financial services landscape.

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United States Number of FDIC Insured Inst: Annual: Commercial Banks data was reported at 4,918.000 Unit in 2017. This records a decrease from the previous number of 5,112.000 Unit for 2016. United States Number of FDIC Insured Inst: Annual: Commercial Banks data is updated yearly, averaging 13,312.500 Unit from Dec 1934 (Median) to 2017, with 84 observations. The data reached an all-time high of 14,496.000 Unit in 1984 and a record low of 4,918.000 Unit in 2017. United States Number of FDIC Insured Inst: Annual: Commercial Banks data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s USA – Table US.KB012: Financial Data: Federal Deposit Insurance Corporation: Insured Institutions.

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 154, a 0.00% decrease year-by-year from 2021. Previously, in 2021, Banks population was 154, a decline of 0.00% compared to a population of 154 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Banks decreased by 70. In this period, the peak population was 227 in the year 2006. 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

Graph and download economic data for Deposits, All Commercial Banks (DPSACBW027SBOG) from 1973-01-03 to 2025-06-25 about deposits, banks, depository institutions, and USA.

United States - Total Assets, All Commercial Banks was 24373.66960 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 July of 2025.

Graph and download economic data for Total Assets, All Commercial Banks (TLAACBW027SBOG) from 1973-01-03 to 2025-06-18 about assets, banks, depository institutions, and USA.

The boundaries of five different geographic areas -- North America, South America, Europe, Africa, and Asia -- are digitally represented in this collection of data files that can be used in the production of computer maps. Each of the five areas is encoded in three distinct files: (1) coastline, islands, and lakes, (2) rivers, and (3) international boundaries. There is an additional file for North America (Part 4: North America: Internal Boundaries) delineating state lines in the United States and provincial boundaries in Canada. The data in each of the files is hierarchically structured into subordinate geographic features and ranks, which may be used for output plotting symbol definition. The mapping scale used to encode the data ranged from 1:1 million to 1:4 million.

The Uniform Bank Performance Report (UBPR) serves as an analysis of the impact that management and economic conditions can have on a bank's balance sheet. It examines liquidity, adequacy of capital and earnings and other factors that could damage the stability of the bank. The Federal Financial Institutions Examination Council (FFIEC) is a formal U.S. government interagency body that includes five banking regulators—the Federal Reserve Board of Governors (FRB), the Federal Deposit Insurance Corporation (FDIC), the National Credit Union Administration (NCUA), the Office of the Comptroller of the Currency (OCC), and the Consumer Financial Protection Bureau (CFPB). It is "empowered to prescribe uniform principles, standards, and report forms to promote uniformity in the supervision of financial institutions".[1] It also oversees real estate appraisal in the United States.[2] Its regulations are contained in title 12 of the Code of Federal Regulations.

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.

Envestnet®| Yodlee®'s Bank Statement Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

Banks Balance Sheet in the United States increased to 24365.10 USD Billion in June 11 from 24262.20 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.