TED Spread - Historical chart and current data through 2022.

This table derives from the grain price spreads data. It includes the latest week of data, as well as averages and standard deviations of price spreads over the past year for each commodity, origin, and destination combination. An indicator is calculated as a ratio, where the numerator is the difference between this week's price spread and the associated average price spread, and the denominator is the associated standard deviation.

Argentina AR: Interest Rate Spread data was reported at 0.897 % pa in 2023. This records an increase from the previous number of -0.018 % pa for 2022. Argentina AR: Interest Rate Spread data is updated yearly, averaging 2.852 % pa from Dec 2010 (Median) to 2023, with 14 observations. The data reached an all-time high of 19.967 % pa in 2019 and a record low of -0.018 % pa in 2022. Argentina AR: Interest Rate Spread data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Argentina – Table AR.World Bank.WDI: 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;

Concept: Difference between average cost of outstanding loans (ICC) and its average funding cost. Comprises both earmarked and nonearmarked operations. Source: Central Bank of Brazil – Statistics Department 9c2ecd38-11e2-4399-8b1f-d16cc7bb31f6 27443-icc-spread

Graph and download economic data for ICE BofA US Corporate Index Option-Adjusted Spread (BAMLC0A0CM) from 1996-12-31 to 2025-12-01 about option-adjusted spread, corporate, and USA.

The TROPESS Chemical Reanalysis NO2 Spread 6-Hourly 3-dimensional Product contains the nitrogen dioxide ensemble spread, a measure of data assimilation analysis uncertainty. The data are part of the Tropospheric Chemical Reanalysis v2 (TCR-2) for the period 2005-2021. TCR-2 uses JPL's Multi-mOdel Multi-cOnstituent Chemical (MOMO-Chem) data assimilation framework that simultaneously optimizes both concentrations and emissions of multiple species from multiple satellite sensors.The data files are written in the netCDF version 4 file format, and each file contains a year of data at 6-hourly resolution, and a spatial resolution of 1.125 x 1.125 degrees at 27 pressure levels between 1000 and 60 hPa. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.

United States - TED Spread (DISCONTINUED) was 0.09% in January of 2022, according to the United States Federal Reserve. Historically, United States - TED Spread (DISCONTINUED) reached a record high of 4.58 in October of 2008 and a record low of 0.06 in July of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - TED Spread (DISCONTINUED) - last updated from the United States Federal Reserve on November of 2025.

The bid–ask spread (also bid–offer or bid/ask and buy/sell in the case of a market maker) is the difference between the prices quoted (either by a single market maker or in a limit order book) for an immediate sale (ask) and an immediate purchase (bid) for stocks, futures contracts, options, or currency pairs in some auction scenario. The size of the bid–ask spread in a security is one measure of the liquidity of the market and of the size of the transaction cost.[1] If the spread is 0 then it is a frictionless asset.

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Spreads Market Size 2024-2028

The spreads market size is forecast to increase by USD 7.52 billion at a CAGR of 4.2% between 2023 and 2028.

The market is experiencing significant growth, driven primarily by the increasing trend towards on-the-go consumption and the growing popularity of e-commerce channels. The consumers' busy lifestyles have led to a surge in demand for convenient and portable food options, including spreads and sandwiches. Moreover, the rise of e-commerce platforms has made it easier for consumers to access a wide range of spreads from various brands, further fueling market growth. However, the market also faces challenges,One major obstacle is the health concerns associated with spreads, particularly those high in sugar and saturated fats.
As consumers become more health-conscious, there is a growing demand for healthier spread options. Another challenge is the intense competition in the market, with numerous players vying for market share. Companies must differentiate themselves by offering unique and innovative products to meet the evolving needs and preferences of consumers. To capitalize on opportunities and navigate challenges effectively, market participants must stay abreast of consumer trends and respond with agility and innovation.

What will be the Size of the Spreads Market during the forecast period?

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The market continues to evolve, with financial institutions increasingly relying on advanced data analysis techniques to gain insights and make informed decisions. Data quality is paramount, as enterprise solutions implement data warehousing and financial modeling to ensure accurate and reliable information. Data governance and marketing analysis employ machine learning and sales forecasting to identify trends and patterns in big data. Freemium models and artificial intelligence are transforming customer segmentation, enabling businesses to target their offerings more effectively. Cloud computing platforms and spreadsheet software offer user-friendly data dashboards for business process automation and user experience optimization.
Predictive modeling and collaboration tools facilitate real-time data analysis and scenario planning for investment firms. Business intelligence software and data visualization tools provide valuable insights for business users, while risk management and operations optimization rely on prescriptive analytics and data analytics software. Portfolio management and investment analysis benefit from interactive reports and data integration, enabling advanced analytics and mobile accessibility. Data storytelling and user interfaces enhance the value of data, while data security remains a critical concern. Subscription models and project management tools enable data mining and workflow automation for power users. The continuous dynamism of the market underscores the importance of staying informed and adaptable to evolving trends and patterns.

How is this Spreads Industry segmented?

The spreads industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Distribution Channel

  Offline
  Online


End-User

  Households
  Food Service
  Industrial


Product Type

  Jams & Jellies
  Nut Butters
  Cheese Spreads
  Savory Spreads


Packaging

  Jars
  Tubes
  Packets


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    Italy
    Spain
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Distribution Channel Insights

The offline segment is estimated to witness significant growth during the forecast period.

The market encompasses various retail sectors, including department stores, supermarkets, hypermarkets, convenience stores, and restaurants. Major retail chains, such as Tesco Plc (Tesco) and Walmart Inc. (Walmart), have dedicated sections for spreads, offering a diverse range of butter, fruit, and chocolate spreads. companies employ marketing strategies, like branding through signages and discounts on product packages, to attract consumers. Walmart and Walgreens are long-standing retailers of spreads. Operating in the organized retail sector, companies consider factors like geographical presence, production and inventory management ease, and goods transportation. Businesses utilize enterprise solutions, such as data warehousing, financial modeling, and data governance, to manage their spreads offerings.

Machine learning and predictive analytics enable sales forecasting and customer segmentation. Data visualization tools help in data storytelling and risk management. Cloud-based platforms facilitate business planning and col

This dataset contains the spatiotemporal data used to train the spatiotemporal deep neural networks described in "Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks". The dataset consists of two sets of NumPy arrays. The first set: X_grid.npy and Y_grid.npy were used to train the convolutional LSTM, while the second set: X_graph.npy, Y_graph.npy, and edge_index.npy were used to train the graph convolutional LSTM. The data consists of spatiotemporally varying environmental and anthropogenic variables along with case reports of vesicular stomatitis. Resources in this dataset:Resource Title: NumPy Arrays of Spatiotemporal Features and VS Cases. File Name: vs_data.zipResource Description: This is a ZIP archive containing five NumPy arrays of spatiotemporal features and geotagged VS cases.Resource Software Recommended: NumPy,url: https://numpy.org/

Brazil BR: Interest Rate Spread data was reported at 31.461 % pa in 2023. This records an increase from the previous number of 27.401 % pa for 2022. Brazil BR: Interest Rate Spread data is updated yearly, averaging 35.371 % pa from Dec 1997 (Median) to 2023, with 27 observations. The data reached an all-time high of 58.360 % pa in 1998 and a record low of 19.585 % pa in 2013. Brazil BR: Interest Rate Spread data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: 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;

Predictions of firm-by-firm term structures of credit spreads based on current spot and forward values can be improved upon by exploiting information contained in the shape of the credit-spread curve. However, the current credit-spread curve is not a sufficient statistic for predicting future credit spreads; the explanatory power can be increased further by exploiting information contained in the shape of the riskless-yield curve. In the presence of credit-spread and riskless factors, other macroeconomic, marketwide, and firm-specific risk variables do not significantly improve predictions of credit spreads. Current credit-spread and riskless-yield curves impound essentially all marketwide and firm-specific information necessary for predicting future credit spreads.

Nepal NP: Interest Rate Spread data was reported at 4.375 % pa in 2010. This records a decrease from the previous number of 5.500 % pa for 2009. Nepal NP: Interest Rate Spread data is updated yearly, averaging 3.250 % pa from Dec 1975 (Median) to 2010, with 29 observations. The data reached an all-time high of 5.875 % pa in 2005 and a record low of -1.625 % pa in 1975. Nepal NP: Interest Rate Spread data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nepal – Table NP.World Bank.WDI: 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;

Brazil: Bank lending-deposit interest rate spread : The latest value from 2020 is 26.85 interest rate points, a decline from 32.04 interest rate points in 2019. In comparison, the world average is 6.59 interest rate points, based on data from 93 countries. Historically, the average for Brazil from 1997 to 2020 is 37 interest rate points. The minimum value, 19.58 interest rate points, was reached in 2013 while the maximum of 58.36 interest rate points was recorded in 1998.

Get the latest USA Vegetable Spread import data with importer names, shipment details, buyers list, product description, price, quantity, and major US ports.

This dataset contains the predicted prices of the asset SWIM - Spread Wisdom over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This data set provides monthly average price values, and the differences among those values, at the farm, wholesale, and retail stages of the production and marketing chain for selected cuts of beef, pork, and broilers. In addition, retail prices are provided for beef and pork cuts, turkey, whole chickens, eggs, and dairy products. Price spreads are reported for last 6 years, 12 quarters, and 24 months. The retail price file provides monthly estimates for the last 6 months. The historical file provides data since 1970.

Comprehensive dataset containing 27 verified Sandwich Spread locations in United States with complete contact information, ratings, reviews, and location data.

Contain informative data related to COVID-19 pandemic. Specially, figure out about the First Case and First Death information for every single country. The datasets mainly focus on two major fields first one is First Case which consists of information of Date of First Case(s), Number of confirm Case(s) at First Day, Age of the patient(s) of First Case, Last Visited Country and the other one First Death information consist of Date of First Death and Age of the Patient who died first for every Country mentioning corresponding Continent. The datasets also contain the Binary Matrix of spread chain among different country and region.

*This is not a country. This is a ship. The name of the Cruise Ship was not given from the government.
"N+": the age is not specified but greater than N
“No Trace”: some data was not found
“Unspecified”: not available from the authority
“N/A”: for “Last Visited Country(s) of Confirmed Case(s)” column, “N/A” indicates that the confirmed case(s) of those countries do not have any travel history in recent past; in “Age of First Death(s)” column “N/A” indicates that those countries do not have may death case till May 16, 2020.

Ecuador: Bank lending-deposit interest rate spread : The latest value from is interest rate points, unavailable from interest rate points in . In comparison, the world average is 0.00 interest rate points, based on data from countries. Historically, the average for Ecuador from to is interest rate points. The minimum value, interest rate points, was reached in while the maximum of interest rate points was recorded in .