2021.

Treasury Inflation-Protected Securities, also known as TIPS, are securities whose principal is tied to the Consumer Price Index. With inflation, the principal increases. With deflation, it decreases. When the security matures, the U.S. Treasury pays the original or adjusted principal, whichever is greater.

China Index: Shenzhen Stock Exchange: Real Estate data was reported at 1,171.190 03Apr1991=100 in 14 May 2025. This records an increase from the previous number of 1,165.540 03Apr1991=100 for 13 May 2025. China Index: Shenzhen Stock Exchange: Real Estate data is updated daily, averaging 1,922.175 03Apr1991=100 from Jul 2001 (Median) to 14 May 2025, with 5786 observations. The data reached an all-time high of 3,992.410 03Apr1991=100 in 27 Mar 2020 and a record low of 958.630 03Apr1991=100 in 28 Aug 2024. China Index: Shenzhen Stock Exchange: Real Estate data remains active status in CEIC and is reported by Shenzhen Stock Exchange. The data is categorized under High Frequency Database’s Financial and Futures Market – Table CN.ZA: Shenzhen Stock Exchange: Indices: Daily.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

US Dollar Denominated Indices: RTS Index data was reported at 1,107.810 01Sep1995=100 in 16 May 2025. This records a decrease from the previous number of 1,113.980 01Sep1995=100 for 15 May 2025. US Dollar Denominated Indices: RTS Index data is updated daily, averaging 1,176.700 01Sep1995=100 from Sep 1995 (Median) to 16 May 2025, with 7431 observations. The data reached an all-time high of 2,123.560 01Sep1995=100 in 08 Apr 2011 and a record low of 628.410 01Sep1995=100 in 20 Jan 2016. US Dollar Denominated Indices: RTS Index data remains active status in CEIC and is reported by Moscow Exchange. The data is categorized under High Frequency Database’s Financial and Futures Market – Table RU.ZA002: Moscow Exchange: Indices Denominated in USD: Daily. [COVID-19-IMPACT]

We construct daily house price indices for 10 major US metropolitan areas. Our calculations are based on a comprehensive database of several million residential property transactions and a standard repeat-sales method that closely mimics the methodology of the popular monthly Case-Shiller house price indices. Our new daily house price indices exhibit dynamic features similar to those of other daily asset prices, with mild autocorrelation and strong conditional heteroskedasticity of the corresponding daily returns. A relatively simple multivariate time series model for the daily house price index returns, explicitly allowing for commonalities across cities and GARCH effects, produces forecasts of longer-run monthly house price changes that are superior to various alternative forecast procedures based on lower-frequency data.

The Harmonized Landsat and Sentinel-2 (HLS) project provides consistent data products from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 and Landsat 9 satellites and the Multi-Spectral Instrument (MSI) aboard Europe’s Copernicus Sentinel-2A, Sentinel-2B, and Sentinel-2C satellites. The combined measurement enables global observations of the land every 2–3 days at 30 meter (m) spatial resolution. The HLSL30 Vegetation Indices (HLSL30_VI) product is derived from Landsat 8 and Landsat 9 OLI data products. Vegetation indices combine specific bands of satellite data to quantify various aspects of vegetation. Analysis of vegetation indices allows for tracking changes in vegetation over time, identifying areas of stress or deforestation, and assessing crop health. Vegetation indices provide a reliable and efficient means of understanding the complex dynamics of vegetation health. The HLSS30_VI and HLSL30_VI products are gridded to the same resolution and Military Grid Reference System (MGRS) tiling system and thus are “stackable” for time series analysis.The HLSL30_VI product is provided in Cloud Optimized GeoTIFF (COG) format, and each variable is distributed as a separate file. Nine indicators of vegetation health are included in the HLSL30_VI product: Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Adjusted Vegetation Index (SAVI), Modified Soil Adjusted Vegetation Index (MSAVI), Normalized Difference Moisture Index (NDMI), Normalized Difference Water Index (NDWI), Normalized Burn Ratio (NBR), Normalized Burn Ratio 2 (NBR2), and Triangular Vegetation Index (TVI). See the User Guide for a more detailed description of the individual vegetation health variables provided in the HLSL30_VI product.

The data have been filtered, e.g. by removing null records.

The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Vegetation Index and Phenology (VIP) global datasets were created using Advanced Very High Resolution Radiometer (AVHRR) N07, N09, N11, and N14 datasets (1981 - 1999) and Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra MOD09 surface reflectance data (2000 - 2014). The VIP Vegetation Index (VI) product was developed to provide consistent measurements of the Normalized Difference Vegetation Index (NDVI) and modified Enhanced Vegetation Index (EVI2) spanning more than 30 years of data from multiple sensors. The EVI2 is a backward extension of AVHRR. Vegetation indices such as NDVI and EVI2 are useful for assessing the biophysical properties of the land surface, and are used to characterize vegetation phenology. Phenology tracks the seasonal life cycle of vegetation, and provides information on the biotic response to environmental changes. The VIP01 VI data product is a daily global file at 0.05 degree (5600 meter (m)) spatial resolution in geographic (Lat/Lon) grid format. The data are stored in Hierarchical Data Format-Earth Observing System (HDF-EOS) file format. The VIP01 VI product contains 11 Science Datasets (SDS), which includes the calculated VIs (NDVI and EVI2) as well as information on the quality assurance/pixel reliability, the input Visible/Near Infrared (VNIR) surface reflectance data, and viewing geometry. The Blue and Middle Infrared (MIR) surface reflectance data are only available for the MODIS era (2000 - 2014). Gaps in the daily product are filled using long term mean VI records derived from the more than 30 year time series of data, and are indicated as gap-filled in the Pixel Reliability SDS. A low resolution browse image showing NDVI as a color map is also available.Known Issues The Relative Azimuth Angle (RAA) for the input MODIS data is computed based on absolute values of the finer resolution pixels resulting in positive values and has minor usefulness. The RAA for the input AVHRR data contain values in the -360° to 360° range. The routine to restrict the values in the -180° to 180° range was accidentally missed and can be corrected using the following routine described in Section 4.2.1 of the User Guide and Algorithm Theoretical Basis Document: * SinRelativeAz=sin(RAA) * CosRelativeAz=cos(RAA) * Correct-RAA = atan2(SinRelativeAz,CosRelativeAz)

The MODIS level-3 Vegetation Indices Daily Rolling-8-Day Near Real Time (NRT), MOD13A4N data are provided everyday at 500-meter spatial resolution as a gridded level-3 product in the Sinusoidal projection. Vegetation indices are used for global monitoring of vegetation conditions and are used in products displaying land cover and land cover changes. These data may be used as input for modeling global biogeochemical and hydrologic processes and global and regional climate. These data also may be used for characterizing land surface biophysical properties and processes including primary production and land cover conversion.Note: This is a near real-time product only. Standard historical data and imagery for MOD13Q4N (250m) and MOD13A4N (500m) are not available. Users can either use the NDVI standard products from LAADS web (https://ladsweb.modaps.eosdis.nasa.gov/search/) or access the science quality MxD09[A1/Q1] data and create the NDVI product of their own.

This statistic shows the stock prices of selected food commodities from January 2, 2020 to February 6, 2025. After the Russian invasion of Ukraine in February 2022, wheat prices increased significantly since both Russia and Ukraine are the key suppliers of the product. With the beginning of 2023, prices of selected food commodities started to decrease, but still stood higher than early-2020 levels.

The LuxX Price Index, the index of the nine biggest stocks on the Luxembourg Stock Exchange, saw its value decrease by over *** points between February and March, 2020, due to economic uncertainties following the coronavirus pandemic. Since then the index has fluctuated significantly, reaching ******* points as of January 18, 2023 - above the values recorded in February 2020 of around ***** points.

Luxembourg is known to be an internationally minded financial hub. Of all banks located in the Grand Duchy, for example, only eight are from the country itself. When looking at the number of banks per country of origin, ** come from Germany, with other banking institutions coming from, for example, China, France and Switzerland.

Data on daily maximum and mean UV indices (Please visit the reference link for other climate information). The multiple file formats are available for datasets download in API.

CN: Index: Shenzhen Stock Exchange: ChiNext data was reported at 2,083.140 31May2010=1000 in 14 May 2025. This records an increase from the previous number of 2,062.260 31May2010=1000 for 13 May 2025. CN: Index: Shenzhen Stock Exchange: ChiNext data is updated daily, averaging 1,815.599 31May2010=1000 from May 2010 (Median) to 14 May 2025, with 3630 observations. The data reached an all-time high of 3,982.251 31May2010=1000 in 03 Jun 2015 and a record low of 593.661 31May2010=1000 in 03 Dec 2012. CN: Index: Shenzhen Stock Exchange: ChiNext data remains active status in CEIC and is reported by Shenzhen Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: Shenzhen Stock Exchange: ChiNext: Indices: Daily.

The S&P 500 index dropped significantly between January 3 and September 9, 2022. As of January 3, the index stood at ******** points, and it dropped approximately 15 percent by September 2022. In February 2024, the daily value of the S&P 500 increased over ***** points and reached ******** as of October 16 of the same year.

Graph and download economic data for NASDAQ Composite Index (NASDAQCOM) from 1971-02-05 to 2025-07-15 about NASDAQ, composite, stock market, indexes, and USA.

China Index: Shenzhen Stock Exchange: Agriculture data was reported at 1,216.180 03Apr1991=100 in 14 May 2025. This records an increase from the previous number of 1,205.210 03Apr1991=100 for 13 May 2025. China Index: Shenzhen Stock Exchange: Agriculture data is updated daily, averaging 1,232.200 03Apr1991=100 from Jul 2001 (Median) to 14 May 2025, with 5786 observations. The data reached an all-time high of 2,158.871 03Apr1991=100 in 15 Jun 2015 and a record low of 568.004 03Apr1991=100 in 03 Dec 2012. China Index: Shenzhen Stock Exchange: Agriculture data remains active status in CEIC and is reported by Shenzhen Stock Exchange. The data is categorized under High Frequency Database’s Financial and Futures Market – Table CN.ZA: Shenzhen Stock Exchange: Indices: Daily.

Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-07-20 to 2025-07-17 about stock market, average, industry, and USA.

The data consists of temperature indices based on homogenized daily maximum and minimum temperatures at 338 locations across Canada, and of precipitation indices based on adjusted daily rainfall, daily snowfall and daily precipitation amounts at 463 locations across the country. These indices were selected for their relevance to social and economic impact assessment in Canada and for the insights they could provide regarding changes in extreme climate conditions. Please refer to the papers below for detailed information regarding the adjustment procedures and the trends in the indices.

Graph and download economic data for ICE BofA Single-A US Corporate Index Total Return Index Value (BAMLCC0A3ATRIV) from 1988-12-16 to 2025-07-15 about A Bond Rating, return, indexes, and USA.