Norway Bank Lending Survey: HO: Next 3 Months: CD: Fixed Rate Loans data was reported at 0.600 % in Sep 2018. This records an increase from the previous number of 0.040 % for Jun 2018. Norway Bank Lending Survey: HO: Next 3 Months: CD: Fixed Rate Loans data is updated quarterly, averaging 0.050 % from Dec 2007 (Median) to Sep 2018, with 44 observations. The data reached an all-time high of 0.900 % in Mar 2018 and a record low of -0.480 % in Dec 2013. Norway Bank Lending Survey: HO: Next 3 Months: CD: Fixed Rate Loans data remains active status in CEIC and is reported by Norges Bank. The data is categorized under Global Database’s Norway – Table NO.KB003: Bank Lending Survey.

Household Saving Rate in the United States increased to 4.90 percent in April from 4.30 percent in March of 2025. This dataset provides - United States Personal Savings Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset includes New York State historical shoreline positions represented as digital vector polylines from 1880 to 2015. Shorelines were compiled from topographic survey sheets from the National Oceanic and Atmospheric Administration (NOAA). Historical shoreline positions can be used to assess the movement of shorelines through time. Rates of shoreline change were calculated in ArcMap 10.5.1 using the Digital Shoreline Analysis System (DSAS) version 5.0. DSAS uses a measurement baseline method to calculate rate of change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates. For wetland shorelines these rates can be interpreted as accretion or erosion.

Deposit Interest Rate in Honduras increased to 8.21 percent in 2024 from 5.94 percent in 2023. This dataset includes a chart with historical data for Deposit Interest Rate in Honduras.

The unemployment rate in fiscal year 2204 rose to 3.9 percent. The unemployment rate of the United States which has been steadily decreasing since the 2008 financial crisis, spiked to 8.1 percent in 2020 due to the COVID-19 pandemic. The annual unemployment rate of the U.S. since 1990 can be found here. Falling unemployment The unemployment rate, or the part of the U.S. labor force that is without a job, fell again in 2022 after peaking at 8.1 percent in 2020 - a rate that has not been seen since the years following the 2008 financial crisis. The financial crash caused unemployment in the U.S. to soar from 4.6 percent in 2007 to 9.6 percent in 2010. Since 2010, the unemployment rate had been steadily falling, meaning that more and more people are finding work, whether that be through full-time employment or part-time employment. However, the affects of the COVID-19 pandemic created a spike in unemployment across the country. U.S. unemployment in comparison Compared to unemployment rates in the European Union, U.S. unemployment is relatively low. Greece was hit particularly hard by the 2008 financial crisis and faced a government debt crisis that sent the Greek economy into a tailspin. Due to this crisis, and the added impact of the pandemic, Greece still has the highest unemployment rate in the European Union.

The benchmark interest rate in Germany was last recorded at 4.50 percent. This dataset provides - Germany Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

FRBOP Forecast: 3Mo TBills over Next-Qtr CPI: Median: Plus 3 Qtrs data was reported at 0.094 % in Jun 2018. This records an increase from the previous number of -0.267 % for Mar 2018. FRBOP Forecast: 3Mo TBills over Next-Qtr CPI: Median: Plus 3 Qtrs data is updated quarterly, averaging 1.500 % from Sep 1981 (Median) to Jun 2018, with 148 observations. The data reached an all-time high of 5.800 % in Jun 1982 and a record low of -2.100 % in Dec 2012. FRBOP Forecast: 3Mo TBills over Next-Qtr CPI: Median: Plus 3 Qtrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.M006: Treasury Bills Rates: Forecast: Federal Reserve Bank of Philadelphia.

We report average expected inflation rates over the next one through 30 years. Our estimates of expected inflation rates are calculated using a Federal Reserve Bank of Cleveland model that combines financial data and survey-based measures. Released monthly.

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.

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project. There is no widely accepted standard for analyzing shoreline change. Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments. The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast. The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Mortgage Rate in Sweden increased to 3.13 percent in April from 3.09 percent in March of 2025. This dataset includes a chart with historical data for Sweden Average Interest Rate on New Agreements for Mortgages to Households.

United States FRBOP: 3Mo TBills over Same & Next Qtr Consumer Price Index (CPI): Median: Plus 3 Qtrs data was reported at 0.063 % in Jun 2018. This records an increase from the previous number of -0.291 % for Mar 2018. United States FRBOP: 3Mo TBills over Same & Next Qtr Consumer Price Index (CPI): Median: Plus 3 Qtrs data is updated quarterly, averaging 1.614 % from Sep 1981 (Median) to Jun 2018, with 148 observations. The data reached an all-time high of 5.850 % in Jun 1982 and a record low of -2.127 % in Dec 2012. United States FRBOP: 3Mo TBills over Same & Next Qtr Consumer Price Index (CPI): Median: Plus 3 Qtrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.M006: Treasury Bills Rates: Forecast: Federal Reserve Bank of Philadelphia.

This dataset consists of short-term (1970-2009) linear regression shoreline change rates for the Outer Cape Cod region of Massachusetts. Rates of short-term shoreline change 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. The baseline is used as a reference line for the transects cast by the DSAS software. The transects intersect each shoreline at the measurement points, which are then used to calculate the short-term rates. Due to continued coastal population growth and increased threats of erosion, current data on trends and rates of shoreline movement are required to inform shoreline and floodplain management. The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. The Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Office of Coastal Zone Management, has compiled reliable historical shoreline data along open-facing sections of the Massachusetts coast under the Massachusetts Shoreline Change Mapping and Analysis Project 2013 Update. Two oceanfront shorelines for Massachusetts (approximately 1,800 km) were (1) delineated using 2008/09 color aerial orthoimagery, and (2) extracted from topographic LIDAR datasets (2007) obtained from NOAA's Ocean Service, Coastal Services Center. The new shorelines were integrated with existing Massachusetts Office of Coastal Zone Management and USGS historical shoreline data in order to compute long- and short-term rates using the latest version of the Digital Shoreline Analysis System (DSAS).

This dataset consists of long-term (100+ years) linear regression shoreline change rates for the South Shore region of Massachusetts. Rates of long-term shoreline change 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. The baseline is used as a reference line for the transects cast by the DSAS software. The transects intersect each shoreline at the measurement points, which are then used to calculate a linear regression rate for the Massachusetts Office of Coastal Zone Management Shoreline Change Project. Long-term linear regression statistics were calculated with all of the historical shorelines compiled for the Massachusetts Office of Coastal Zone Management Shoreline Change Project. Due to continued coastal population growth and increased threats of erosion, current data on trends and rates of shoreline movement are required to inform shoreline and floodplain management. The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. The Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Office of Coastal Zone Management, has compiled reliable historical shoreline data along open-facing sections of the Massachusetts coast under the Massachusetts Shoreline Change Mapping and Analysis Project 2013 Update. Two oceanfront shorelines for Massachusetts (approximately 1,800 km) were (1) delineated using 2008/09 color aerial orthoimagery, and (2) extracted from topographic LIDAR datasets (2007) obtained from NOAA's Ocean Service, Coastal Services Center. The new shorelines were integrated with existing Massachusetts Office of Coastal Zone Management and USGS historical shoreline data in order to compute long- and short-term rates using the latest version of the Digital Shoreline Analysis System (DSAS).

According to preliminary figures, the growth of real gross domestic product (GDP) in China amounted to 5.0 percent in 2024. For 2025, the IMF expects a GDP growth rate of around 3.95 percent. Real GDP growth The current gross domestic product is an important indicator of the economic strength of a country. It refers to the total market value of all goods and services that are produced within a country per year. When analyzing year-on-year changes, the current GDP is adjusted for inflation, thus making it constant. Real GDP growth is regarded as a key indicator for economic growth as it incorporates constant GDP figures. As of 2024, China was among the leading countries with the largest gross domestic product worldwide, second only to the United States which had a GDP volume of almost 29.2 trillion U.S. dollars. The Chinese GDP has shown remarkable growth over the past years. Upon closer examination of the distribution of GDP across economic sectors, a gradual shift from an economy heavily based on industrial production towards an economy focused on services becomes visible, with the service industry outpacing the manufacturing sector in terms of GDP contribution. Key indicator balance of trade Another important indicator for economic assessment is the balance of trade, which measures the relationship between imports and exports of a nation. As an economy heavily reliant on manufacturing and industrial production, China has reached a trade surplus over the last decade, with a total trade balance of around 992 billion U.S. dollars in 2024.

China Trust: Item Amount: New Increased: Year to Date: Collective Fund Trust data was reported at 1,520,307.630 RMB mn in Jun 2020. This records an increase from the previous number of 702,203.080 RMB mn for Mar 2020. China Trust: Item Amount: New Increased: Year to Date: Collective Fund Trust data is updated quarterly, averaging 955,138.795 RMB mn from Mar 2010 (Median) to Jun 2020, with 42 observations. The data reached an all-time high of 3,843,688.460 RMB mn in Dec 2017 and a record low of 73,993.421 RMB mn in Mar 2010. China Trust: Item Amount: New Increased: Year to Date: Collective Fund Trust data remains active status in CEIC and is reported by China Trustee Association. The data is categorized under China Premium Database’s Financial Market – Table CN.ZT: Use of Fund Trust: New Increased.

United States FRBOP: 3Mo TBillsRate over Next-Qtr Core CPE Inflation: Mean data was reported at -0.241 % in Jun 2018. This records an increase from the previous number of -0.410 % for Mar 2018. United States FRBOP: 3Mo TBillsRate over Next-Qtr Core CPE Inflation: Mean data is updated quarterly, averaging -1.311 % from Mar 2007 (Median) to Jun 2018, with 46 observations. The data reached an all-time high of 2.926 % in Mar 2007 and a record low of -1.815 % in Sep 2014. United States FRBOP: 3Mo TBillsRate over Next-Qtr Core CPE Inflation: Mean data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.M006: Treasury Bills Rates: Forecast: Federal Reserve Bank of Philadelphia.

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.

United States FRBOP: 3Mo TBillsRate over Next-Qtr Core PCE: Median: Plus 2 Qtrs data was reported at 0.025 % in Jun 2018. This records an increase from the previous number of -0.100 % for Mar 2018. United States FRBOP: 3Mo TBillsRate over Next-Qtr Core PCE: Median: Plus 2 Qtrs data is updated quarterly, averaging -1.105 % from Mar 2007 (Median) to Jun 2018, with 46 observations. The data reached an all-time high of 2.870 % in Sep 2007 and a record low of -1.881 % in Sep 2012. United States FRBOP: 3Mo TBillsRate over Next-Qtr Core PCE: Median: Plus 2 Qtrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.M006: Treasury Bills Rates: Forecast: Federal Reserve Bank of Philadelphia.

Deposit Rate: NB: HN: Time Deposits: BGN: Over 3 to 6 Months data was reported at 1.187 % pa in Mar 2025. This records an increase from the previous number of 1.117 % pa for Feb 2025. Deposit Rate: NB: HN: Time Deposits: BGN: Over 3 to 6 Months data is updated monthly, averaging 4.290 % pa from Feb 2000 (Median) to Mar 2025, with 302 observations. The data reached an all-time high of 8.866 % pa in Aug 2009 and a record low of 0.042 % pa in Jul 2021. Deposit Rate: NB: HN: Time Deposits: BGN: Over 3 to 6 Months data remains active status in CEIC and is reported by Bulgarian National Bank. The data is categorized under Global Database’s Bulgaria – Table BG.M002: Banks Deposit Rate: New Business.