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.

Analysis of ‘Prompt Payment Interest Rates’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/eeef2eb1-f729-4cec-a158-b83f51df9daa on 26 January 2022.

--- Dataset description provided by original source is as follows ---

PPB shall coordinate and publish an annual prompt payment performance report detailing each agency's performance pursuant to Charter Section 332. PPB shall additionally make cumulative prompt payment performance statistics available upon request. All reports shall be distributed to the CCPO, OMB and Comptroller and shall be posted on the City's website in a location that is accessible by the public simultaneously with their publication.

--- Original source retains full ownership of the source dataset ---

The benchmark interest rate in Thailand was last recorded at 1.75 percent. This dataset provides - Thailand Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Mexico was last recorded at 8 percent. This dataset provides - Mexico Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In April 2025, global inflation rates and central bank interest rates showed significant variation across major economies. Most economies initiated interest rate cuts from mid-2024 due to declining inflationary pressures. The U.S., UK, and EU central banks followed a consistent pattern of regular rate reductions throughout late 2024. In early 2025, Russia maintained the highest interest rate at 21 percent, while Japan retained the lowest at 0.5 percent. Varied inflation rates across major economies The inflation landscape varies considerably among major economies. China had the lowest inflation rate at -0.1 percent in April 2025. In contrast, Russia maintained a high inflation rate of 10.2 percent. These figures align with broader trends observed in early 2025, where China had the lowest inflation rate among major developed and emerging economies, while Russia's rate remained the highest. Central bank responses and economic indicators Central banks globally implemented aggressive rate hikes throughout 2022-23 to combat inflation. The European Central Bank exemplified this trend, raising rates from 0 percent in January 2022 to 4.5 percent by September 2023. A coordinated shift among major central banks began in mid-2024, with the ECB, Bank of England, and Federal Reserve initiating rate cuts, with forecasts suggesting further cuts through 2025 and 2026.

Abstract

The Survey on Interest Rate Controls 2020 was conducted as a World Bank Group study on interest rate controls (IRCs) in lending and deposit markets around the world. The study aims to identify the different types of formal (or de jure) controls, the countries that apply then, how they implement them, and the reasons for doing so. The objective of the study is to advance knowledge on this topic by providing an evidence base for investigating the impact of IRCs on economic outcomes.

The survey investigates present IRCs in each surveyed country, the reasons why they have been applied, the framework and resources associated with their application and the details as to their level and functioning. The focus is on legal forms of control (i.e. codified into law) as opposed to de facto controls. The new database on interest rate controls, a popular form of financial repression is based on a survey of 108 countries, representing 88 percent of global gross domestic product. The interest rate controls presented in this dataset were in effect in 2019.

Geographic coverage

Global Survey, covering 108 countries, representing 88 percent of global GDP.

Analysis unit

Regulation at the national level.

Universe

Banking supervisors and Local Banking Associations.

Kind of data

Sample survey data [ssd]

Mode of data collection

Mail Questionnaire [mail]

Research instrument

Bank supervisors and banking associations were provided with a standard excel file with five parts. The survey was structured in five parts, each placed in a different excel sheet. Part A: Introduction. Countries with no IRCs in place were asked to only answer this sheet and leave the rest blank. Part B: Presented the definitions of controls, institutions, products and additional aspects that will be covered in the survey. Part C: Introduced a set of qualitative questions to describe the IRCs in place. Part D: Displayed a set of tables to quantitatively describe the IRCs in place. Part E: Laid out the final set of questions, covering sanctions and control mechanisms that support the IRCs' enforcement. The questionnaire is provided in the Documentation section in pdf and excel.

Analysis of ‘Bank interest rates - Deposits from euro area households’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/bank-interest-rates-euro-area-housholds on 08 January 2022.

--- Dataset description provided by original source is as follows ---

The bank interest rate statistics cover those rates that resident monetary financial institutions apply to euro-denominated deposits and loans by households and non-financial corporations that are residents of the euro area. These statistics are used for the analysis of monetary developments and the monetary transmission mechanism as well as for the monitoring of financial stability.

This dataset covers euro-denominated deposits with an agreed maturity from euro area households (percentages per annum, rates on new business).

--- Original source retains full ownership of the source dataset ---

The inflation rate in the United States declined significantly between June 2022 and May 2025, despite rising inflationary pressures towards the end of 2024. The peak inflation rate was recorded in June 2022, at *** percent. In August 2023, the Federal Reserve's interest rate hit its highest level during the observed period, at **** percent, and remained unchanged until September 2024, when the Federal Reserve implemented its first rate cut since September 2021. By January 2025, the rate dropped to **** percent, signalling a shift in monetary policy. What is the Federal Reserve interest rate? The Federal Reserve interest rate, or the federal funds rate, is the rate at which banks and credit unions lend to and borrow from each other. It is one of the Federal Reserve's key tools for maintaining strong employment rates, stable prices, and reasonable interest rates. The rate is determined by the Federal Reserve and adjusted eight times a year, though it can be changed through emergency meetings during times of crisis. The Fed doesn't directly control the interest rate but sets a target rate. It then uses open market operations to influence rates toward this target. Ways of measuring inflation Inflation is typically measured using several methods, with the most common being the Consumer Price Index (CPI). The CPI tracks the price of a fixed basket of goods and services over time, providing a measure of the price changes consumers face. At the end of 2023, the CPI in the United States was ****** percent, up from ****** a year earlier. A more business-focused measure is the producer price index (PPI), which represents the costs of firms.

Graph and download economic data for 10-Year Real Interest Rate (REAINTRATREARAT10Y) from Jan 1982 to Jun 2025 about 10-year, interest rate, interest, real, rate, and USA.

Analysis of ‘Implicit Interest Rates Credit Housing ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/5ae9a6dec8d8c915d5faa685 on 19 January 2022.

--- Dataset description provided by original source is as follows ---

INTEREST RATES IMPLIED IN HOUSE LENDING. Notes: 1. With the exception of the interest rate value for new contracts (concluded in the last 3 months), all other figures refer to all contracts in force in the reference period.

--- Original source retains full ownership of the source dataset ---

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States Mortgage Debt Outstanding: Effective Interest Rate data was reported at 3.799 % in Mar 2020. This records a decrease from the previous number of 3.872 % for Dec 2019. United States Mortgage Debt Outstanding: Effective Interest Rate data is updated quarterly, averaging 7.677 % from Mar 1977 (Median) to Mar 2020, with 173 observations. The data reached an all-time high of 11.449 % in Mar 1985 and a record low of 3.750 % in Dec 2017. United States Mortgage Debt Outstanding: Effective Interest Rate data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.KB025: Mortgage Interest Paid. [COVID-19-IMPACT]

Real interest rates refer to the nominal interest rate adjusted for inflation, and are an important economic indicator that can have significant impacts on investment, savings, and overall economic growth. Real interest rates can affect the demand for goods and services, investment decisions, and borrowing costs, among other things.

The real interest rates per country dataset provides a comprehensive overview of the real interest rates of each country. The dataset includes information on the real interest rates, covering all countries in the world. It is compiled from various sources, including national central banks, international financial institutions such as the International Monetary Fund (IMF), and other relevant data sources.

The real interest rates per country dataset can be used by researchers, policymakers, and investors to gain insight into the economic conditions of different countries and to compare the relative levels of real interest rates across the world. It can also be used to monitor changes in real interest rates over time and to evaluate the effectiveness of monetary policies and strategies.

Overall, the real interest rates per country dataset is an important resource for understanding the economic conditions of different countries and for developing policies and strategies that promote sustainable economic growth and stability.

Analysis of ‘Bank interest rates - Loans to euro area housholds’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/bank-interest-rates-loans-households on 08 January 2022.

--- Dataset description provided by original source is as follows ---

The bank interest rate statistics cover those rates that resident monetary financial institutions apply to euro-denominated deposits and loans by households and non-financial corporations that are residents of the euro area. These statistics are used for the analysis of monetary developments and the monetary transmission mechanism as well as for the monitoring of financial stability.

This dataset covers Euro-denominated loans to euro area households (percentages per annum, rates on new business).

--- Original source retains full ownership of the source dataset ---

Following the BoE’s interest rate cut, explore the immediate impact on the UK economy and how finance professionals and businesses can navigate the prospect of future reductions.

The benchmark interest rate in Brazil was last recorded at 15 percent. This dataset provides - Brazil Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Analysis of ‘Bank interest rates - Deposits from euro area non-financial corporations’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/bank-interest-rates-euro-area-corporates on 21 November 2021.

--- Dataset description provided by original source is as follows ---

The bank interest rate statistics cover those rates that resident monetary financial institutions apply to euro-denominated deposits and loans by households and non-financial corporations which are residents of the euro area. These statistics are used for the analysis of monetary developments and the monetary transmission mechanism as well as for the monitoring of financial stability.

This dataset covers euro-denominated deposits from euro area non-financial corporations (percentages per annum, rates on new business).

--- Original source retains full ownership of the source dataset ---

Many people assume that poor credit scores translate to higher interest rates. But is this assumption true? Follow Jonathan Blum, New York author and journalist, as he attempts to answer this question using GIS. In this lesson, you'll map variations in online loan interest rates. Then, you'll use regression analysis to build a predictive model, quantifying the relationship between interest rates and loan grade rankings.

This workflow can be used to map and measure the correlation between any two variables. It's perfect for anyone interested in regression analysis in ArcGIS Pro.

In this lesson you will build skills in these areas:

• Mapping interest rate hotspots
• Performing regression analysis
• Interpreting regression results
• Finding minimum neighbor distance
• Building the spatial regression model

Learn ArcGIS is a hands-on, problem-based learning website using real-world scenarios. Our mission is to encourage critical thinking, and to develop resources that support STEM education.

In the context of predicting the term structure of interest rates, we explore the marginal predictive content of real-time macroeconomic diffusion indexes extracted from a data rich real-time data set, when used in dynamic Nelson-Siegel (NS) models of the variety discussed in Svensson (NBER technical report, 1994; NSS) and Diebold and Li (Journal of Econometrics, 2006, 130, 337-364; DNS). Our diffusion indexes are constructed using principal component analysis with both targeted and untargeted predictors, with targeting done using the lasso and elastic net. Our findings can be summarized as follows. First, the marginal predictive content of real-time diffusion indexes is significant for the preponderance of the individual models that we examine. The exception to this finding is the post Great Recession period. Second, forecast combinations that include only yield variables result in our most accurate predictions, for most sample periods and maturities. In this case, diffusion indexes do not have marginal predictive content for yields and do not seem to reflect unspanned risks. This points to the continuing usefulness of DNS and NSS models that are purely yield driven. Finally, we find that the use of fully revised macroeconomic data may have an important confounding effect upon results obtained when forecasting yields, as prior research has indicated that diffusion indexes are often useful for predicting yields when constructed using fully revised data, regardless of whether forecast combination is used, or not. Nevertheless, our findings also underscore the potential importance of using machine learning, data reduction, and shrinkage methods in contexts such as term structure modeling.

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