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.

This dataset contains unemployment data at metropolitan area (MA) level, respectively the change over the year of unemployment rate. The data for the unemployment rate change over the year is starting from 2023 to 2024.

Effective Date.

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

Breton Island, Louisiana Transects with Shoreline Change Rates (Post Hurricane Katrina) (Geographic, NAD83) consists of vector transect data that was derived from the Digital Shoreline Analysis System (DSAS) version 4.0. Rates from the DSAS statistical output table were joined to the transects to provide a visual representation of the shoreline change rates on a transect-by-transect basis.

Finland Lending Rate: New Business: Households: Consumer Credit: Annual Percentage Rate of Change data was reported at 6.187 % pa in Oct 2018. This records a decrease from the previous number of 6.337 % pa for Sep 2018. Finland Lending Rate: New Business: Households: Consumer Credit: Annual Percentage Rate of Change data is updated monthly, averaging 5.959 % pa from Jan 2003 (Median) to Oct 2018, with 190 observations. The data reached an all-time high of 7.425 % pa in Oct 2008 and a record low of 4.517 % pa in Dec 2009. Finland Lending Rate: New Business: Households: Consumer Credit: Annual Percentage Rate of Change data remains active status in CEIC and is reported by Bank of Finland. The data is categorized under Global Database’s Finland – Table FI.M006: Lending Rates.

Source: From lending institutions and local authorities The loan payments dataset stops in 2007. The figures on fixed interest rate mortgages relate to mortgages which provide that the rate of interest may not be changed, or may only be changed at intervals of not less than one year. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change.

In 2017, online lookup services experienced the highest change in penetration rate amounting to 100 percent in the Asia-Pacific region. In the same period, online bill payment services reported a change in penetration rate of 40 percent.

Graph and download economic data for 70) Over the Past Three Months, How Have the Terms Under Which CMBS Are Funded Changed?| A. Terms for Average Clients | 4. Collateral Spreads Over Relevant Benchmark (Effective Financing Rates). | Answer Type: Tightened Somewhat (SFQ70A4TSNR) from Q4 2011 to Q2 2025 about collateral, change, funds, financing, spread, 3-month, average, rate, and USA.

In 2024, the average room rate of 4-star hotels increased by 4.8 percent compared to the average room price in the previous year. The average room rate of all hotels in Macao ranged around 1,400 Macao patacas.

Mortgage rates increased at a record pace in 2022, with the 10-year fixed mortgage rate doubling between March 2022 and December 2022. With inflation increasing, the Bank of England introduced several bank rate hikes, resulting in higher mortgage rates. In May 2025, the average 10-year fixed rate interest rate reached **** percent. As borrowing costs get higher, demand for housing is expected to decrease, leading to declining market sentiment and slower house price growth. How have the mortgage hikes affected the market? After surging in 2021, the number of residential properties sold declined in 2023, reaching just above *** million. Despite the number of transactions falling, this figure was higher than the period before the COVID-19 pandemic. The falling transaction volume also impacted mortgage borrowing. Between the first quarter of 2023 and the first quarter of 2024, the value of new mortgage loans fell year-on-year for five straight quarters in a row. How are higher mortgages affecting homebuyers? Homeowners with a mortgage loan usually lock in a fixed rate deal for two to ten years, meaning that after this period runs out, they need to renegotiate the terms of the loan. Many of the mortgages outstanding were taken out during the period of record-low mortgage rates and have since faced notable increases in their monthly repayment. About **** million homeowners are projected to see their deal expire by the end of 2026. About *** million of these loans are projected to experience a monthly payment increase of up to *** British pounds by 2026.

Graph and download economic data for 50) Over the Past Three Months, How Has the Volume of Mark and Collateral Disputes Relating to Contracts of Each of the Following Types Changed?| B. Interest Rate. | Answer Type: Increased Considerably (OTCDQ50BICNR) from Q4 2011 to Q2 2025 about contracts, volume, collateral, change, 3-month, interest rate, interest, rate, and USA.

This activity will no longer be maintained after June 16, 2025. Current lessons are available in the K-12 Classroom Activities Gallery.

This activity uses Map Viewer. ResourcesMapTeacher guide Student worksheetGet startedOpen the map.Use the teacher guide to explore the map with your class or have students work through it on their own with the worksheet.New to GeoInquiriesTM? See Getting to Know GeoInquiries.StandardsCCSS: MATH.CONTENT.HSF.LE.A.1 – Distinguish between situations that can be modeled with linear functions and with exponential functions.CCSS: MATH.CONTENT.HSF.IF.B.4 – For a function that models a relationship between two quantities, interpret key features of graphs & tables in terms of the quantities, & sketch graphs showing key features given a verbal description of the relationship.Learning outcomesStudents will investigate rates of population growth and decline. Students will compare linear and exponential growth rates.More activitiesAll Mathematics GeoInquiriesAll GeoInquiries

Latvia - HICP - monthly data (annual rate of change) was 3.40% in May of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Latvia - HICP - monthly data (annual rate of change) - last updated from the EUROSTAT on July of 2025. Historically, Latvia - HICP - monthly data (annual rate of change) reached a record high of 11.10% in February of 2023 and a record low of -5.20% in March of 2010.

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a shoreline from 1994 was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013, two oceanfront shorelines for Massachusetts were added using 2008-9 color aerial orthoimagery and 2007 topographic lidar datasets obtained from the National Oceanic and Atmospheric Administration's Ocean Service, Coastal Services Center. This 2018 data release includes rates that incorporate two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data collected between 2010 and 2014. The first new shoreline for the State includes data from 2010 along the North Shore and South Coast from lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise. Shorelines along the South Shore and Outer Cape are from 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Shorelines along Nantucket and Martha’s Vineyard are from a 2012 USACE Post Sandy Topographic lidar survey. The second new shoreline for the North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and the South Coast (around Buzzards Bay to the Rhode Island Border) is from 2013-14 lidar data collected by the (USGS) Coastal and Marine Geology Program. This 2018 update of the rate of shoreline change in Massachusetts includes two types of rates. Some of the rates include a proxy-datum bias correction, this is indicated in the filename with “PDB”. The rates that do not account for this correction have “NB” in their file names. The proxy-datum bias is applied because in some areas a proxy shoreline (like a High Water Line shoreline) has a bias when compared to a datum shoreline (like a Mean High Water shoreline). In areas where it exists, this bias should be accounted for when calculating rates using a mix of proxy and datum shorelines. This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150 years) and short term (~30 years) rates. Files associated with the long-term rates have “LT” in their names, files associated with short-term rates have “ST” in their names.

This dataset provides smoking prevalence estimates and annualized rates of change by county from 1996 to 2012.

Between 2005-2009 and 2009-2013, homeownership rates in the nine-county San Francisco Bay Region decreased by about 2.8% overall. However, the rates vary significantly across the region.The region's lower-income neighborhoods and its outer suburbs were most impacted by the foreclosure crisis and therefore experienced the sharpest drop in homeownership rates. These communities include, Oakland, Hayward, and San Ramon. On average, in 2013, the region had fewer homeowners than in 2005. These households will likely not benefit as much from the recent recovery compared to households that were able to retain ownership of their homes during the Great Recession.

The interest rate charged for new credits for households in the Romanian banking system has been generally decreasing during the given period, with a slight increase in 2024. The highest value was recorded in March 2023 at 10.59 percent, dropping to 9.03 by February 2024.

Graph and download economic data for Percent Change of Total Revolving Consumer Credit from Feb 1968 to Apr 2025 about revolving, consumer credit, loans, consumer, rate, and USA.

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center. In 2018, two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data between 2010-2014 were added to the dataset. This 2021 data release includes rates that incorporate one new shoreline extracted from 2018 lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), added to the existing database of all historical shorelines (1844-2014), for the North Shore, South Shore, Cape Cod Bay, Outer Cape, Buzzard’s Bay, South Cape, Nantucket, and Martha’s Vineyard. 2018 lidar data did not cover the Boston or Elizabeth Islands regions. This dataset describes the long-term (~150+ years) shoreline change rates for the Cape Cod Bay, MA coastal region. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. Long-term and short-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate rates. This dataset consists of shoreline change rates calculated with DSAS v5.1 and stored as a new transect layer. Original measurement transects are cast by DSAS from the baseline to intersect shoreline vectors, and the intersect data provide location and time information used to calculate rates of change.

This dataset consists of shoreline change rates for the north coast of Alaska between the U.S.-Canadian border and Cape Prince of Wales. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Rates of shoreline change were calculated using a linear regression rate method based on shorelines between 1948-2016 to provide an approximately 60-yr rate. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate change rates.