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. Information is also included from related surveys of pension providers and the earlier such surveys conducted by the Federal Reserve Board. No other study for the country collects comparable information. Data from the SCF are widely used, from analysis at the Federal Reserve and other branches of government to scholarly work at the major economic research centers.The survey has contained a panel element over two periods. Respondents to the 1983 survey were re-interviewed in 1986 and 1989. Respondents to the 2007 survey were re-interviewed in 2009.The study is sponsored by the Federal Reserve Board in cooperation with the Department of the Treasury. Since 1992, data have been collected by the National Opinion Research Center (NORC) at the University of Chicago.

The Enhanced Financial Accounts (EFA) initiative is a long-term effort to augment the Financial Accounts of the United States with a richer and more detailed picture of financial intermediation and interconnections. As part of this initiative, we are providing supplementary information that offers finer detail, additional types of activities, higher-frequency data, and more-disaggregated data, even if such data are not available for all sectors or easily incorporated into the existing structure of the Financial Accounts. Many of the EFA projects are accompanied by FEDS Notes that provide additional information or context. Like all Financial Accounts data, EFA data are updated regularly and subject to revision.

The benchmark interest rate in the United States was last recorded at 4.50 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The H.10 weekly release contains daily rates of exchange of major currencies against the U.S. dollar. The data are noon buying rates in New York for cable transfers payable in the listed currencies. The rates have been certified by the Federal Reserve Bank of New York for customs purposes as required by section 522 of the amended Tariff Act of 1930.

We use Bayesian methods to estimate changes in US post-war monetary policy in the Smets and Wouters model. We perform the estimations by allowing for a break in monetary policy at the time of Volcker's appointment as chairman. This enables us to capture changes in the monetary policy regime introduced by Volcker during the Volcker-Greenspan period. We find support for the assumption that monetary policy in the Volcker-Greenspan period performed optimally under commitment. Our estimation strategy allows us to estimate the preferences of the US Federal Reserve in the Volcker-Greenspan period, where the main objective of policy appears to be inflation, followed by interest rate stabilization, output growth and interest rate smoothing. We find that the Great Moderation of output growth is explained by a combination of two factors: the decrease in the volatility of the structural shocks and the improved monetary policy conduct. Inflation Stabilization, however, is mainly due to the change in monetary policy that took place at the beginning of Volcker's mandate.

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

View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

View data of the Effective Federal Funds Rate, or the interest rate depository institutions charge each other for overnight loans of funds.

The Agricultural Finance Databook is a compilation of various data on current developments in agricultural finance. Large portions of the data come from regular surveys conducted by the Board of Governors of the Federal Reserve System or by Federal Reserve Banks. Other portions come from the quarterly Call Report data of commercial banks or from the reports of other financial institutions involved in agricultural lending. This data is no longer published by the Federal Reserve Board. On October 1, 2010, the E.15 statistical release transitioned from the Board of Governors to the Federal Reserve Bank of Kansas City. You can now find the most current Agricultural Finance Databook at https://www.kansascityfed.org/research/indicatorsdata/agfinancedatabook.

In this paper we model and explain US macroeconomic outcomes subject to the discipline that monetary policy is set optimally. Exploiting the restrictions that come from optimal policymaking, we estimate the parameters in the Federal Reserve's policy objective function together with the parameters in its optimization constraints. For the period following Volcker's appointment as chairman, we estimate the implicit inflation target to be around 1.4% and show that policymakers assigned a significant weight to interest rate smoothing. We show that the estimated optimal policy provides a good description of US data for the 1980s and 1990s.

The Federal Reserve Board compiles quarterly data on domestically chartered insured commercial banks that have consolidated assets of $300 million or more and releases the data about twelve weeks after the end of each quarter. The data are obtained from the Consolidated Reports of Condition and Income filed quarterly by banks (FFIEC 031 and 041) and from other information in the Board's National Information Center database. Banks that are located in U.S. territories and possessions are not included in the table.

View data of PCE, an index that measures monthly changes in the price of consumer goods and services as a means of analyzing inflation.

The Federal Reserve Banks provide the National Settlement Service (NSS), which allows participants in private-sector clearing arrangements to exchange and settle transactions on a multilateral basis through designated master accounts held at the Federal Reserve Banks. There are approximately 17 NSS arrangements that have been established by financial market utilities, check clearinghouse associations, and automated clearinghouse networks.NSS provides an automated mechanism for submitting settlement files to the Federal Reserve Banks and reduces settlement risk to participants by granting settlement finality on settlement day. NSS also enables the clearing arrangements to manage and limit settlement risk by incorporating risk controls that are as robust as those used in the Fedwire Funds Service. Participants generally submit settlement files online, by initiating an electronic message.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

This paper considers the real-time-- forecast performance of the Federal Reserve staff, time-series models, and an estimated dynamic stochastic general equilibrium (DSGE) model-the Federal Reserve Board's Estimated, Dynamic, Optimization-based (Edo) model. We evaluate forecast performance using out-of-sample predictions from 1996 to 2004. We find that the Edo model can provide forecasts that are competitive with those of Federal Reserve staff. Taken together with the fact that the Edo model has also proved useful in answering a range of policy questions, this suggests a significant and broad role for richly specified DSGE models in the toolbox of central bank models.

The TIC Form SLT collects monthly data on the market value of long-term cross-border securities holdings by country, type of foreign holder (official or private), and type of security. We estimate transactions as well as valuation change that is, the monthly change in the market value of the securities arising from price or exchange rate changes. Since the valuation change estimates are based on the country of issuer, the price indexes used for U.S. securities are the same for all holder countries. Over the ten years that TIC SLT data have been collected, this method has yielded estimated transactions more consistent with positions reported in the TIC SLT, with the findings of the annual security-level survey data, and with our expectations based on other information, such as market commentary or patterns observed across time.This dataset includes position, estimated transaction, and estimated valuation change data for counterparty countries that (1) have published TIC SLT position data and (2) have significant reported positions. This set of countries accounts for 95 to 99 percent of all long-term cross-border securities holdings.

United States Underlying Inflation Gauge: Full Data Set Measure data was reported at 2.874 % in Sep 2023. This records a decrease from the previous number of 3.032 % for Aug 2023. United States Underlying Inflation Gauge: Full Data Set Measure data is updated monthly, averaging 2.162 % from Jan 1995 (Median) to Sep 2023, with 345 observations. The data reached an all-time high of 6.318 % in Jun 2022 and a record low of -0.648 % in Sep 2009. United States Underlying Inflation Gauge: Full Data Set Measure data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.I: Underlying Inflation Gauge (Discontinued).

Dodd-Frank Act stress testing (DFAST)--a complementary exercise to the Comprehensive Capital Analysis and Review (CCAR)--is a forward-looking initiative conducted by the Federal Reserve and financial companies supervised by the Federal Reserve to help assess whether institutions have sufficient capital to absorb losses and support operations during adverse economic conditions.

The G.5 monthly release contains monthly average rates of exchange of major currencies against the U.S. dollar. Averages are based on daily noon buying rates for cable transfers in New York City certified for customs purposes by the Federal Reserve Bank of New York.

Graph and download economic data for Median Household Income in the United States (MEHOINUSA646N) from 1984 to 2023 about households, median, income, and USA.