View weekly updates and historical trends for National Financial Conditions Index. from United States. Source: Federal Reserve Bank of Chicago. Track econ…

United States - Chicago Fed National Financial Conditions was -0.57265 Index in September of 2025, according to the United States Federal Reserve. Historically, United States - Chicago Fed National Financial Conditions reached a record high of 5.14887 in July of 1974 and a record low of -1.10468 in August of 1993. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Chicago Fed National Financial Conditions - last updated from the United States Federal Reserve on October of 2025.

United States Financial Conditions Impulse on Growth, FCI-G Index (Baseline) data was reported at -0.200 Index in Mar 2025. This records an increase from the previous number of -0.265 Index for Feb 2025. United States Financial Conditions Impulse on Growth, FCI-G Index (Baseline) data is updated monthly, averaging -0.484 Index from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 1.969 Index in Feb 2009 and a record low of -1.752 Index in Jun 2021. United States Financial Conditions Impulse on Growth, FCI-G Index (Baseline) data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.S021: Financial Conditions Impulse on Growth.

Content

The Chicago Fed's National Financial Conditions Index (NFCI) provides a comprehensive weekly update on U.S. financial conditions in money markets, debt and equity markets and the traditional and "shadow" banking systems. Positive values of the NFCI indicate financial conditions that are tighter than average, while negative values indicate financial conditions that are looser than average.

For further information, please visit the Federal Reserve Bank of Chicago (http://www.chicagofed.org/webpages/publications/nfci/index.cfm).

Context

This is a dataset from the Federal Reserve Bank of Chicago 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 Chicago Fed using Kaggle and all of the data sources available through the Chicago Fed organization page!

• Update Frequency: This dataset is updated daily.

• Observation Start: 1971-01-08

• Observation End : 2020-03-13

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

The license for this dataset is unknown. Please reach out directly to the Chicago Fed for more information on Commercial/Non-Commercial access.

Cover photo by Karina Carvalho on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

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.

United States FCI-G Index: 10-Year Treasury data was reported at -0.047 Index in Mar 2025. This records an increase from the previous number of -0.053 Index for Feb 2025. United States FCI-G Index: 10-Year Treasury data is updated monthly, averaging 0.012 Index from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 0.059 Index in Oct 1993 and a record low of -0.075 Index in Nov 2023. United States FCI-G Index: 10-Year Treasury data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.S021: Financial Conditions Impulse on Growth.

Graph and download economic data for Chicago Fed National Financial Conditions Index Nonfinancial Leveral Subindex from 1971-01-08 to 2025-09-19 about nonfinancial, indexes, and USA.

Chicago Fed Financial Conditions Index - Historical chart and current data through 2025.

Ukraine Business Expectations Index: Economic and Financial Conditions data was reported at 14.700 % in Sep 2018. This records a decrease from the previous number of 20.700 % for Jun 2018. Ukraine Business Expectations Index: Economic and Financial Conditions data is updated quarterly, averaging 17.650 % from Jun 2007 (Median) to Sep 2018, with 46 observations. The data reached an all-time high of 33.900 % in Jun 2010 and a record low of -30.400 % in Mar 2009. Ukraine Business Expectations Index: Economic and Financial Conditions data remains active status in CEIC and is reported by National Bank of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.S001: Business Expectations Index.

Abstract of associated article: We use factor augmented vector autoregressive models with time-varying coefficients and stochastic volatility to construct a financial conditions index that can accurately track expectations about growth in key US macroeconomic variables. Time-variation in the models׳ parameters allows for the weights attached to each financial variable in the index to evolve over time. Furthermore, we develop methods for dynamic model averaging or selection which allow the financial variables entering into the financial conditions index to change over time. We discuss why such extensions of the existing literature are important and show them to be so in an empirical application involving a wide range of financial variables.

United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Adjusted National Financial Conditions Index (ANFCI) data was reported at 0.000 % in 12 May 2025. This stayed constant from the previous number of 0.000 % for 05 May 2025. United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Adjusted National Financial Conditions Index (ANFCI) data is updated weekly, averaging 0.545 % from Jan 2020 (Median) to 12 May 2025, with 279 observations. The data reached an all-time high of 14.335 % in 06 Jan 2025 and a record low of 0.000 % in 12 May 2025. United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Adjusted National Financial Conditions Index (ANFCI) data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Unemployment Rate.

This page provides data for the Facilities Conditions Index performance measure. Regular assessments of the condition of city facilities are important. An outcome of the assessments is the Facilities Condition Index (FCI). This index rates facilities based on their current condition. The FCI indicates the ratio of assets repair costs to the replacement value of the entire building. The lower the FCI ratio, the better the condition of the building. This dataset provides the current FCI value for each city-owned facility. The FCI is generated quarterly for individual facilities and then calculated for the City overall. The performance measure dashboard is available at 4.14 Facilities Conditions Index. Additional Information Source:Contact: Dana JanofskyContact E-Mail: dana_janofsky@tempe.govData Source Type: FacilitizePreparation Method: Reports are generated from Facilitize and exported as Excel spreadsheetsPublish Frequency: AnnualPublish Method: ManualData Dictionary

In this paper, employing several econometric techniques, the authors construct a financial stress index (CNFSI) and a financial conditions index (CNFCI) to measure the instability of China’s financial system. The indices are based on the monthly data collected from China’s inter-bank markets, stock markets, foreign exchange markets and debt markets. Using these two indices, they identify the episodes of systemic financial stress, and then evaluate the indices. The empirical results suggest that the CNFSI performs better than the CNFCI. Furthermore, the authors propose four leading indicators for monitoring China’s financial instability, and provide a primary early warning system for China’s macroprudential regulations.

This review aims to explore the proper execution of the work "The use of the assessment of the financial health of the entity to financial planning" by students of the University of Economics in Wroclaw. The analysis contained in the reviewed work was based on the financial health index (called Financial Health Index) developed by John Zietlowa.

"Neighborhood Financial Health (NFH) Digital Mapping and Data Tool provides neighborhood financial health indicator data for every neighborhood in New York City. DCWP's Office of Financial Empowerment (OFE) also developed NFH Indexes to present patterns in the data within and across neighborhoods. NFH Index scores describe relative differences between neighborhoods across the same indicators; they do not evaluate neighborhoods against fixed standards. OFE intends for the NFH Indexes to provide an easy reference tool for comparing neighborhoods, and to establish patterns in the relationship of NFH indicators to economic and demographic factors, such as race and income. Understanding these connections is potentially useful for uncovering systems that perpetuate the racial wealth gap, an issue with direct implications for OFE’s mission to expand asset building opportunities for New Yorkers with low and moderate incomes. This data tool was borne out of the Collaborative for Neighborhood Financial Health, a community-led initiative designed to better understand how neighborhoods influence the financial health of their residents.

Economic Conditions Index for Bakersfield, CA (MSA) (DISCONTINUED) was 3.78% in December of 2019, according to the United States Federal Reserve. Historically, Economic Conditions Index for Bakersfield, CA (MSA) (DISCONTINUED) reached a record high of 8.81 in January of 2018 and a record low of -7.55 in February of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Economic Conditions Index for Bakersfield, CA (MSA) (DISCONTINUED) - last updated from the United States Federal Reserve on October of 2025.

Graph and download economic data for Economic Conditions Index for San Jose-Sunnyvale-Santa Clara, CA (MSA) (DISCONTINUED) (SSCAGRIDX) from Feb 1990 to Dec 2019 about San Jose, academic data, CA, indexes, and USA.

Brazil Financial Condition: Extractive Industry: Access to Credit Indicator data was reported at 46.000 Point in Mar 2019. This records an increase from the previous number of 42.100 Point for Dec 2018. Brazil Financial Condition: Extractive Industry: Access to Credit Indicator data is updated quarterly, averaging 42.200 Point from Mar 2007 (Median) to Mar 2019, with 49 observations. The data reached an all-time high of 48.500 Point in Jun 2010 and a record low of 27.100 Point in Mar 2009. Brazil Financial Condition: Extractive Industry: Access to Credit Indicator data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SC005: CNAE 2.0: Financial Condition.

Graph and download economic data for Economic Conditions Index for Indianapolis-Carmel-Anderson, IN (MSA) (DISCONTINUED) (INDAGRIDX) from Feb 1990 to Dec 2019 about Indianapolis, academic data, IN, indexes, and USA.

Economic Conditions Index for North Port-Sarasota-Bradenton, FL (MSA) (DISCONTINUED) was 2.91% in December of 2019, according to the United States Federal Reserve. Historically, Economic Conditions Index for North Port-Sarasota-Bradenton, FL (MSA) (DISCONTINUED) reached a record high of 9.57 in July of 1996 and a record low of -14.46 in January of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Economic Conditions Index for North Port-Sarasota-Bradenton, FL (MSA) (DISCONTINUED) - last updated from the United States Federal Reserve on October of 2025.