This dataset provides estimates of surface elevation change over the Greenland and Antarctic ice sheets since 1992, utilizing satellite radar altimetry from five missions: ERS-1, ERS-2, ENVISAT, CryoSat-2, and Sentinel-3A. The surface elevation change is modelled over successive, overlapping periods and reported monthly. The dataset production method is an evolution of those employed by the European Space Agency (ESA)'s Greenland and Antarctic Ice Sheet Climate Change Initiatives and is guided by the Global Climate Observing System targets for the Ice Sheets Essential Climate Variable. An annual Climate Data Record (CDR), and monthly intermediate CDRs (ICDRs) are issued. Each monthly record includes all previous data, from 1992 onwards, as well as that month's update. This product is designed to provide data stability, so changes in the historic data, eg. if a satellite's elevation data is reprocessed or if inter-satellite cross-calibration is revised, are only introduced in the annual CDR. Each annual CDR is given a version number. The differences in the geographical location of the two sheets result in site-specific processing: Greenland: Data consists of surface elevation change rate and its uncertainty in a five-year (for the early satellites: ERS-1, ERS-2, and ENVISat) or three-year (for CryoSat-2 and Sentinel-3A) moving window. The moving window is advanced at one-month steps. Elevation measurements from satellite radar altimetry are used to build time-series of elevation change by the most optimal combination of the crossover-, repeat-track- and plane-fitting methods. The timeseries is derived for each cell on a 25km by 25km polar stereographic grid, covering the main Greenland ice sheet, and not including peripheral glaciers and ice caps. Data gaps have been filled using an ordinary Kriging interpolation method, and the distance to the nearest observational point is provided as utility information. The distance can be used to flag filled data. Antarctica: Data consists of surface elevation change rate over a five-year moving window that advances in one-month steps. It covers the Antarctic ice sheet, ice shelves and associated ice rises and islands on a 25km by 25km polar stereographic grid. Elevation measurements from five satellite radar altimetry missions, ERS1, ERS2, EnviSat, CryoSat-2 and Sentinel-3A, are used to produce timeseries of surface elevation change by the crossover method for each grid cell. The mission timeseries are cross-calibrated into a consistent record, which is used to derive surface elevation change rates and their uncertainty estimates in each cell and time-window. Data gaps are flagged but not filled.

Congo, The Democratic Republic of the CD: Interest Rate Spread data was reported at 16.436 % pa in 2017. This records an increase from the previous number of 15.671 % pa for 2016. Congo, The Democratic Republic of the CD: Interest Rate Spread data is updated yearly, averaging 20.727 % pa from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 49.343 % pa in 2009 and a record low of 14.657 % pa in 2013. Congo, The Democratic Republic of the CD: Interest Rate Spread data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Democratic Republic of Congo – Table CD.World Bank: Interest Rates. Interest rate spread is the interest rate charged by banks on loans to private sector customers minus the interest rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files.; Median;

ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. Reanalysis produces data that goes several decades back in time, providing an accurate description of the climate of the past. ERA5-Land uses as input to control the simulated land fields ERA5 atmospheric variables, such as air temperature and air humidity. This is called the atmospheric forcing. Without the constraint of the atmospheric forcing, the model-based estimates can rapidly deviate from reality. Therefore, while observations are not directly used in the production of ERA5-Land, they have an indirect influence through the atmospheric forcing used to run the simulation. In addition, the input air temperature, air humidity and pressure used to run ERA5-Land are corrected to account for the altitude difference between the grid of the forcing and the higher resolution grid of ERA5-Land. This correction is called 'lapse rate correction'.
The ERA5-Land dataset, as any other simulation, provides estimates which have some degree of uncertainty. Numerical models can only provide a more or less accurate representation of the real physical processes governing different components of the Earth System. In general, the uncertainty of model estimates grows as we go back in time, because the number of observations available to create a good quality atmospheric forcing is lower. ERA5-land parameter fields can currently be used in combination with the uncertainty of the equivalent ERA5 fields. The temporal and spatial resolutions of ERA5-Land makes this dataset very useful for all kind of land surface applications such as flood or drought forecasting. The temporal and spatial resolution of this dataset, the period covered in time, as well as the fixed grid used for the data distribution at any period enables decisions makers, businesses and individuals to access and use more accurate information on land states.

Abstract (en): Detailed tabulations of international and domestic finance data are presented in this data collection. These time series data summarize each country's balance of payments, with collateral data on major financial components such as trade and reserves, and data on exchange rates, international liquidity, money and banking, international transactions, prices, production, government finance, and interest rates. A subset of these data, containing annual data from 1948 to 1978, is available as well. 196 countries and geographical areas. (1)The International Monetary Fund (IMF) has notified ICPSR that it will not renew ICPSR's INTERNATIONAL FINANCIAL STATISTICS (IFS) (ICPSR 7629) monthly tape subscription effective November 1, 1991. This action coincides with IMF's decision to begin distributing this series to individuals on CD-ROM. As a result ICPSR will not be able to update these data on a monthly basis. The IFS data for the 1948 through July, 1991 period will continue to be available from ICPSR\; this is the last version of the data received under our former subscription. Efforts will continue to renew the monthly subscription with IMF and users will be notified when such efforts are successful. (2) The data are stored in packed zoned decimal format. A COBOL processing program is available for use with this dataset. (3) Each time series can contain a variable number of logical records. The exact number of records in any time series in this collection is dependent upon the availability of annual, quarterly, and monthly data. Approximately 23,000 time series are included in the collection. (4) The term "country," as used in this dataset, does not in all cases refer to a territorial entity which is a state as understood by international law and practice. The term also covers some territorial entities that are not states but for which statistical data are maintained and provided internationally on a separate and independent basis. (5) Exchange rates are expressed in United States dollars per national currency unit or vice versa, and two rates are given for the special drawing right (SDR) value of the national currency unit. (6) One codebook now documents these four IMF studies: DIRECTION OF TRADE (ICPSR 7628), INTERNATIONAL FINANCIAL STATISTICS (ICPSR 7629), BALANCE OF PAYMENTS STATISTICS (ICPSR 8623), and GOVERNMENT FINANCE STATISTICS (ICPSR 8624). (7) The codebook is provided by ICPSR as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.

Congo, The Democratic Republic of the CD: DEC Alternative Conversion Factor: per USD data was reported at 1,480.193 CDF/USD in 2017. This records an increase from the previous number of 1,072.196 CDF/USD for 2016. Congo, The Democratic Republic of the CD: DEC Alternative Conversion Factor: per USD data is updated yearly, averaging 0.000 CDF/USD from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 1,480.193 CDF/USD in 2017 and a record low of 0.000 CDF/USD in 1990. Congo, The Democratic Republic of the CD: DEC Alternative Conversion Factor: per USD data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Democratic Republic of Congo – Table CD.World Bank: Exchange Rates and Real Effective Exchange Rates. The DEC alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method. As a rule, it is the official exchange rate reported in the IMF's International Financial Statistics (line rf). Exceptions arise where further refinements are made by World Bank staff. It is expressed in local currency units per U.S. dollar.; ; International Monetary Fund, International Financial Statistics, supplemented by World Bank staff estimates.; ; In the WDI database, the DEC alternative conversion factor is used to convert data in local currency units (LCU) into U.S. dollars.

Crude and adjusted rates and rate ratios for CD in BC vs. Sweden by Robson group, 2004–2016.

Deposit Interest Rate in Russia increased to 19.39 percent in May from 19.32 percent in April of 2025. This dataset includes a chart with historical data for Deposit Interest Rate in Russia.

Congo, The Democratic Republic of the CD: Literacy Rate: Adult: % of People Aged 15 and Above data was reported at 77.043 % in 2016. This records an increase from the previous number of 75.017 % for 2012. Congo, The Democratic Republic of the CD: Literacy Rate: Adult: % of People Aged 15 and Above data is updated yearly, averaging 71.095 % from Dec 2001 (Median) to 2016, with 4 observations. The data reached an all-time high of 77.043 % in 2016 and a record low of 61.206 % in 2007. Congo, The Democratic Republic of the CD: Literacy Rate: Adult: % of People Aged 15 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Democratic Republic of Congo – Table CD.World Bank: Education Statistics. Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Congo, The Democratic Republic of the CD: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data was reported at 41.686 % in 2017. This records an increase from the previous number of 4.349 % for 2016. Congo, The Democratic Republic of the CD: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data is updated yearly, averaging 30.795 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 26,765.858 % in 1994 and a record low of -1.156 % in 2015. Congo, The Democratic Republic of the CD: Inflation:(GDP) Gross Domestic ProductDeflator: Linked Series data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Democratic Republic of Congo – Table CD.World Bank: Inflation. Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years.; ; World Bank staff estimates based on World Bank national accounts data archives, OECD National Accounts, and the IMF WEO database.; ;

Deposit Interest Rate in Argentina decreased to 32.14 percent in June from 32.73 percent in May of 2025. This dataset includes a chart with historical data for Deposit Interest Rate in Argentina.

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.

This dataset provides values for INTEREST RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Deposit Interest Rate in Australia decreased to 2.75 percent in June from 2.80 percent in May of 2025. This dataset includes a chart with historical data for Deposit Interest Rate in Australia.