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Graph and download economic data for Reserves of Depository Institutions: Total (TOTRESNS) from Jan 1959 to Feb 2026 about adjusted, reserves, and USA.
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TwitterCredit security is the ability of households to access mainstream credit and keep current on debt payments. The Credit Insecurity Index, created by the Federal Reserve Bank of New York, is intended to capture all the components that inform a community’s credit health in a composite measure. The score is meant to be interpreted in terms of place, such as a state or a county. The Credit Insecurity Index is reflective of the credit conditions experienced collectively by the individuals and households that make up the geography being examined. While it is important to understand credit insecurity at an individual or household level, assessing and comparing community-level credit insecurity can help researchers, practitioners, and community stakeholders understand the broader implications credit insecurity has for a community’s ability to access affordable credit, be resilient in the face of shocks, pursue economic opportunities, and take on community-wide investments. The calculation for the Credit Insecurity Index involves adding the share of people who are not credit included to a value that represents the degree to which the population that is credit included is nonetheless credit constrained. In other words, the Credit Insecurity Index Score = (Not Credit Included) + (Credit Included x .25*(Credit Constraints)) where Credit Constraints = No Revolving Credit + Credit Over-Utilization + Deep Subprime Credit Score + Struggling or Consistently Delinquent Payment History.
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Graph and download economic data for Treasury Deposits with Federal Reserve Banks (DISCONTINUED) (TREASURY) from Jan 1986 to Oct 2025 about deposits, Treasury, banks, depository institutions, and USA.
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TwitterFor further information, please refer to the Board of Governors of the Federal Reserve System's H.8 release, online at http://www.federalreserve.gov/releases/h8/.
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 1947-01-01
Observation End : 2019-11-01
This dataset is maintained using FRED's API and Kaggle's API.
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This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 1973-01-03
Observation End : 2019-12-11
This dataset is maintained using FRED's API and Kaggle's API.
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The current face value of mortgage-backed obligations held by Federal Reserve Banks. These securities are guaranteed by Fannie Mae, Freddie Mac, or Ginnie Mae.
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 2002-12-18
Observation End : 2018-06-13
This dataset is maintained using FRED's API and Kaggle's API.
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This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
This dataset is maintained using FRED's API and Kaggle's API.
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The benchmark interest rate in the United States was last recorded at 3.75 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.
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Early historical data for this series include the following:
1929 range of 5.5 to 6 1930 range of 3.5 to 6 1931 range of 2.75 to 5 1932 range of 3.25 to 4 1933 range of 1.5 to 4 1934 (date uncertain) value of 1.5 1935 (date uncertain) value of 1.5 1947-12 (specific date uncertain) value of 1.75 1948-08 (specific date uncertain) value of 2 1950-09-22: 2.25 1951-01-08: 2.5 1951-10-17: 2.75 1951-12-19: 3 1953-04-27: 3.25 1954-03-17: 3
EFFECTIVE 4/16/73 DUAL PRIME RATE
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 1955-08-04
Observation End : 2019-10-31
This dataset is maintained using FRED's API and Kaggle's API.
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Annualized using a 360-day year or bank interest. Source: Bloomberg and CTRB ICAP Fixed Income & Money Market Products.
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 1971-01-04
Observation End : 2016-10-07
This dataset is maintained using FRED's API and Kaggle's API.
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This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
This dataset is maintained using FRED's API and Kaggle's API.
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TwitterFor details, please see http://www.federalreserve.gov/releases/h6/hist/ On March 23, 2006, the Board of Governors of the Federal Reserve System ceased publication of the M3 monetary aggregate and its components. For more information, please, refer to http://www.federalreserve.gov/releases/h6/discm3.htm.
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 1981-01-05
Observation End : 2006-03-13
This dataset is maintained using FRED's API and Kaggle's API.
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TwitterFor further information, please refer to the Board of Governors of the Federal Reserve System's E.2 release, online at http://www.federalreserve.gov/releases/e2/about.htm or in the footnotes of the E.2, Survey of Terms of Business Lending Release. These data are collected during the middle month of each quarter and are released in the middle of the succeeding month.
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 1997-04-01
Observation End : 2017-04-01
This dataset is maintained using FRED's API and Kaggle's API.
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TwitterThe Federal Reserve Board has discontinued this series as of October 31, 2016. More information, including possible alternative series, can be found at http://www.federalreserve.gov/feeds/h15.html. Rate paid by fixed-rate payer on an interest rate swap with maturity of ten years. International Swaps and Derivatives Association (ISDA®) mid-market par swap rates. Rates are for a Fixed Rate Payer in return for receiving three month LIBOR, and are based on rates collected at 11:00 a.m. Eastern time by Garban Intercapital plc and published on Reuters Page ISDAFIX®1. ISDAFIX is a registered service mark of ISDA. Source: Reuters Limited.
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 2000-07-03
Observation End : 2016-10-28
This dataset is maintained using FRED's API and Kaggle's API.
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This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
This dataset is maintained using FRED's API and Kaggle's API.
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TwitterFor further information regarding treasury constant maturity data, please refer to http://www.federalreserve.gov/releases/h15/current/h15.pdf and http://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/yieldmethod.aspx.
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 2010-02-22
Observation End : 2019-12-20
This dataset is maintained using FRED's API and Kaggle's API.
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TwitterAs of August 3, 2017, updates of the labor market conditions index (LMCI) have been discontinued; the July 7, 2017 vintage is the final estimate from this model. The Board decided to stop updating the LMCI because they believe it no longer provides a good summary of changes in U.S. labor market conditions. Specifically, model estimates turned out to be more sensitive to the detrending procedure than expected, the measurement of some indicators in recent years has changed in ways that significantly degraded their signal content, and including average hourly earnings as an indicator did not provide a meaningful link between labor market conditions and wage growth.
The LMCI is derived from a dynamic factor model that extracts the primary common variation from 19, seasonally-adjusted, labor market indicators. Users can read about the included indicators at http://www.federalreserve.gov/econresdata/notes/feds-notes/2014/updating-the-labor-market-conditions-index-20141001.html.
Users of the LMCI should take note that the entire history of the LMCI may revise each month. Three sources contribute to such revisions. The first source is new data that were not available at the time of the employment report. In particular, at the time of the Employment Situation report each month, the quit rate and hiring rate will be missing for the last two months of the sample because the Job Openings and Labor Turnover Survey is published with a longer lag than the model's other indicators. In subsequent months, as these data become available, the LMCI will revise.
The second source of revision comes from revisions to existing data. Many labor market indicators are subject to revision as additional source data become available or to incorporate annual benchmark revisions or updated seasonal adjustment factors. Prominent examples in the LMCI include the three payroll employment series from the Current Employment Statistics program.
The third source of revision is inherent to the model. The LMCI is derived from the Kalman smoother, meaning that the estimate of the index in any particular month is the model's best assessment given all past and future observations. Thus, when a new month of data is added to the sample, the model will revise its estimate of history in response to the new information. In practice, these revisions tend to be modest and concentrated in the most-recent six months of the sample.
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 1976-08-01
Observation End : 2017-06-01
This dataset is maintained using FRED's API and Kaggle's API.
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Graph and download economic data for Federal Debt: Total Public Debt (GFDEBTN) from Q1 1966 to Q4 2025 about public, debt, federal, government, and USA.
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Graph and download economic data for Resources and Assets: Gold and Gold Certificates: Gold Settlement Fund with Federal Reserve Board (RAGGCGSF) from 1914-12-31 to 1934-01-24 about funds, gold, assets, and USA.
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Graph and download economic data for Gold Held in the Treasury and Federal Reserve Banks for United States (M1437BUSM144NNBR) from Jan 1914 to May 1949 about gold, Treasury, banks, depository institutions, and USA.
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Graph and download economic data for Reserves of Depository Institutions: Total (TOTRESNS) from Jan 1959 to Feb 2026 about adjusted, reserves, and USA.