In a survey conducted in July 2025, around ** percent of participants aged 18 to 29 years said that they felt their finances had remained about the same as the previous year. However, ***percent of respondents aged 30 to 44 that said they were financially worse off than they had been the previous year.

This project contains a city-level panel dataset of city revenue, expenses, and debt between the years 1924 and 1938, annually, derived from state archival records and the U.S. Census Bureau. All variables have been aggregated to the smallest comparable category – that is, if one state only reports “total taxes” while another splits taxes into different types, total taxes from the first and the sum from the second are reported here. Please get in touch with the principal investigator if you would like the disaggregated data (especially for Massachusetts and New York). Sample sizes vary from 519 to 819 cities per year.

Government Transportation Financial Statistics is no longer being updated by the Bureau of Transportation Statistics as of June 2024!

It is being replaced by our new product, Transportation Public Financial Statistics (TPFS) which provides more granularity by expanding the categories of revenues and expenditures. The new dataset can be found: https://data.bts.gov/Research-and-Statistics/Transportation-Public-Financial-Statistics-TPFS-/6aiz-ybqx/about_data

Further information about the TPFS can be found at: https://www.bts.gov/tpfs

The government plays an important role in the U.S. transportation system, as a provider of transportation infrastructure and as an administrator and regulator of the system. The government spends a large amount of funds on building, rehabilitating, maintaining, operating, and administering the infrastructure system. Government revenue generated from several sources including user fees, taxes from transportation and non-transportation-related activities, borrowing, and grants from federal, state, and local governments primarily supports these activities.

Government Transportation Financial Statistics (GTFS) provides a set of maps, charts, and tables with information on transportation-related revenue and expenditures for all levels of government, including federal, state, and local, and for all modes of transportation.

Related tables can be found in National Transportation Statistics, Section 3.D - Government Finance (https://www.bts.gov/topics/national-transportation-statistics).

For further information, data definitions, and methodology, see https://www.bts.gov/gtfs

US: General Government: Primary Balance: % of Potential GDP: Cyclically Adjusted data was reported at -2.513 % in 2023. This records an increase from the previous number of -3.143 % for 2022. US: General Government: Primary Balance: % of Potential GDP: Cyclically Adjusted data is updated yearly, averaging -2.513 % from Dec 2001 (Median) to 2023, with 23 observations. The data reached an all-time high of 1.161 % in 2001 and a record low of -7.781 % in 2010. US: General Government: Primary Balance: % of Potential GDP: Cyclically Adjusted data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s United States – Table US.IMF.FM: Government Finance Statistics.

According to a June 2025 survey in the United States, millennials were more likely to think that consumers should have the right to share their bank account or credit card information with other financial tools and services. Roughly eight in 10 respondents of this age category stated they believed so. In comparison, 67 percent of Boomers, those aged 61 to 79 years old, said it was a good idea.

USB: TA: Cash & Due from Depository Institutions data was reported at 22,256,667.000 USD th in Dec 2019. This records an increase from the previous number of 15,112,079.000 USD th for Sep 2019. USB: TA: Cash & Due from Depository Institutions data is updated quarterly, averaging 8,644,951.000 USD th from Dec 2000 (Median) to Dec 2019, with 77 observations. The data reached an all-time high of 28,930,463.000 USD th in Jun 2017 and a record low of 3,505,757.000 USD th in Jun 2001. USB: TA: Cash & Due from Depository Institutions data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s United States – Table US.KB058: Financial Data: Federal Deposit Insurance Corporation: US Bank National.

Financial data service providers offer financial market data and related services, primarily real-time feeds, portfolio analytics, research, pricing and valuation data, to financial institutions, traders and investors. Companies aggregate data and content from stock exchange feeds, broker and dealer desks and regulatory filings to distribute financial news and business information to the investment community. Recent globalization of the world capital market has benefited the financial sector and increased trading speed. Businesses rely on real-time data more than ever to help them make informed decisions. When considering a data service provider, an easy-to-use interface that shows customized, relevant information is vital for clients. During times of economic uncertainty, this information becomes more crucial than ever. Clients want information as soon and as frequently as possible, causing providers to prioritize efficiency and delivery. This was evident during the pandemic, the high interest rate environment in the latter part of the period and as the Fed cuts rates in 2024. Increased automation has helped industry players process large volumes of financial data, reducing analysis and reporting times. In addition, automation has reduced operational costs and reduced human data errors. These trends have resulted in growing revenue, which has risen at a CAGR of 3.2% to $21.9 billion over the past five years, including a 3.5% uptick in 2024 alone. Corporate profit will continue to expand as inflationary concerns begin to wane slowly. This will lead many companies to take on new clients as financial data helps them gain insight into operating their business amid ongoing trends and economic shakeups. With technology constantly advancing, service providers will continue investing in research and development to improve their products and services and best serve their clients. As technological advances continue, smaller players will be able to better compete with larger industry players. While this may lead to new companies joining the industry, larger providers will resume consolidation activity to expand their customer base. Overall, revenue is expected to swell at a CAGR of 2.7% to $25.0 billion by the end of 2029.

United States US: Domestic Credit: Provided by Financial Sector: % of GDP data was reported at 241.891 % in 2016. This records an increase from the previous number of 235.955 % for 2015. United States US: Domestic Credit: Provided by Financial Sector: % of GDP data is updated yearly, averaging 145.154 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 250.601 % in 2014 and a record low of 101.084 % in 1960. United States US: Domestic Credit: Provided by Financial Sector: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Bank Loans. Domestic credit provided by the financial sector includes all credit to various sectors on a gross basis, with the exception of credit to the central government, which is net. The financial sector includes monetary authorities and deposit money banks, as well as other financial corporations where data are available (including corporations that do not accept transferable deposits but do incur such liabilities as time and savings deposits). Examples of other financial corporations are finance and leasing companies, money lenders, insurance corporations, pension funds, and foreign exchange companies.; ; International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.; Weighted average;

Market Size statistics on the Financial Data Service Providers industry in the US

This statistic compares key U.S. and Eurozone economic and financial data. In the 2nd Quarter of 2011, the Euro-zone economy grew by 0.2 percent, while the U.S. gained economic growth of 1.3 percent in the same period.

U.S. Banking Data (reported by banks and all other financial firms) - monthly U.S. Financial Firms' Liabilities to Foreign Residents. - Liabilities to all foreign residents, by type and holder

These reports collect selected financial information for direct or indirect foreign subsidiaries of U.S. state member banks (SMBs), Edge and agreement corporations, and bank holding companies (BHCs). The FR 2314 consists of a balance sheet and income statement; information on changes in equity capital, changes in the allowance for loan and lease losses, off-balance-sheet items, and loans; and a memoranda section. The FR 2314S collects four financial data items for smaller, less complex subsidiaries. (Note: The Report of Condition for Foreign Subsidiaries of U.S. Banking Organizations, FR 2314a and FR 2314c have been replaced by the FR 2314 and FR 2314S. and the FR 2314b has been discontinued.

USB: TA: Federal Funds Sold & Reverse Repurchase Agreements data was reported at 881,341.000 USD th in Dec 2019. This records a decrease from the previous number of 3,649,142.000 USD th for Sep 2019. USB: TA: Federal Funds Sold & Reverse Repurchase Agreements data is updated quarterly, averaging 975,986.000 USD th from Dec 2000 (Median) to Dec 2019, with 77 observations. The data reached an all-time high of 5,371,110.000 USD th in Mar 2008 and a record low of 5,954.000 USD th in Sep 2011. USB: TA: Federal Funds Sold & Reverse Repurchase Agreements data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s United States – Table US.KB058: Financial Data: Federal Deposit Insurance Corporation: US Bank National.

The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

An index that can be used to gauge broad financial conditions and assess how these conditions are related to future economic growth. The index is broadly consistent with how the FRB/US model generally relates key financial variables to economic activity. The index aggregates changes in seven financial variables: the federal funds rate, the 10-year Treasury yield, the 30-year fixed mortgage rate, the triple-B corporate bond yield, the Dow Jones total stock market index, the Zillow house price index, and the nominal broad dollar index using weights implied by the FRB/US model and other models in use at the Federal Reserve Board. These models relate households' spending and businesses' investment decisions to changes in short- and long-term interest rates, house and equity prices, and the exchange value of the dollar, among other factors. These financial variables are weighted using impulse response coefficients (dynamic multipliers) that quantify the cumulative effects of unanticipated permanent changes in each financial variable on real gross domestic product (GDP) growth over the subsequent year. The resulting index is named Financial Conditions Impulse on Growth (FCI-G). One appealing feature of the FCI-G is that its movements can be used to measure whether financial conditions have tightened or loosened, to summarize how changes in financial conditions are associated with real GDP growth over the following year, or both.

Roughly a ***** of Gen Z bank account holders indicated that they worried about their financial future in the U.S. in the second quarter of 2025, according to Statista Consumer Insights. On the other hand, over ** percent of the respondents born between 1995 and 2012 indicated that they were well-informed about their financial situation. There was a relatively low share of respondents who expressed interest in new financial topics, such as crypto or NFTs.

Graph and download economic data for Households; Net Worth, Level (BOGZ1FL192090005Q) from Q4 1987 to Q2 2025 about net worth, Net, households, and USA.

Graph and download economic data for Federal Debt: Total Public Debt (GFDEBTN) from Q1 1966 to Q2 2025 about public, debt, federal, government, and USA.

Haver Analytics' primary database of U.S. economic and financial data

Graph and download economic data for Nominal Gross Domestic Product for United States (NGDPSAXDCUSQ) from Q1 1950 to Q2 2025 about GDP and USA.