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.

The benchmark interest rate In the Euro Area was last recorded at 2.65 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching 149 zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than 394 zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just two percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of 19.2 percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached 6.7 zettabytes.

The benchmark interest rate in Mexico was last recorded at 9.50 percent. This dataset provides - Mexico Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The shapefile contains points with associated observed and predicted July stream/river temperature maximum negative daily rate of change in New England based on a spatial statistical network model published in Detenbeck et al. (2016): Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). Portions of this dataset are inaccessible because: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). They can be accessed through the following means: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). Format: Shapefile. This dataset is associated with the following publication: Detenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA. WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).

The benchmark interest rate in Australia was last recorded at 4.10 percent. This dataset provides - Australia Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The shapefile contains points with associated observed and predicted July stream/river temperature maximum positive daily rate of change in New England based on a spatial statistical network model published in Detenbeck et al. (2016): Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). Portions of this dataset are inaccessible because: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). They can be accessed through the following means: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). Format: Shapefile. This dataset is associated with the following publication: Detenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA. WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).

Expected rate of increase in wages and reasons for expecting a faster rate of increase in wages over the next 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, fourth quarter of 2023.

The shapefile contains points with associated observed and predicted August stream/river temperature maximum positive daily rate of change in New England based on a spatial statistical network model published in Detenbeck et al. (2016): Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). Portions of this dataset are inaccessible because: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). They can be accessed through the following means: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). Format: Shapefile. This dataset is associated with the following publication: Detenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA. WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).

The benchmark interest rate in India was last recorded at 6.25 percent. This dataset provides - India Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Long term dataset showing the 30 year fixed rate mortgage average in the United States since 1971.

This data release contains coastal wetland synthesis products for the geographic region of north shore Long Island, New York. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, mean tidal range, and shoreline change rate are calculated for smaller units delineated from a Digital Elevation Model, providing the spatial variability of physical factors that influence wetland health. Through scientific efforts initiated with the Hurricane Sandy Science Plan, the U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing Federal, State, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. This dataset displays shoreline change rates for north shore Long Island. Shoreline change rates are based on analysis of digital vector shorelines acquired from historical topographic sheets provided by National Oceanic and Atmospheric Administration (NOAA). Analysis was performed using the Digital Shoreline Analysis System (DSAS), an extension for ArcMap, created by the U.S. Geological Survey. Linear Regression Rates (LRR) and End Point Rates (EPR) of shoreline change were averaged along the shoreline of each salt marsh unit to generate this dataset. LRR rates were used in areas where three or more historical shorelines were available while EPR was used in areas where two were available. Positive and negative values indicate accretion and erosion respectively.

Historical dataset of the 12 month LIBOR rate back to 1986. The London Interbank Offered Rate is the average interest rate at which leading banks borrow funds from other banks in the London market. LIBOR is the most widely used global "benchmark" or reference rate for short term interest rates.

In March 2024 Bitcoin BTC reached a new all-time high with prices exceeding 73000 USD marking a milestone for the cryptocurrency market This surge was due to the approval of Bitcoin exchange-traded funds ETFs in the United States allowing investors to access Bitcoin without directly holding it This development increased Bitcoin’s credibility and brought fresh demand from institutional investors echoing previous price surges in 2021 when Tesla announced its 15 billion investment in Bitcoin and Coinbase was listed on the Nasdaq By the end of 2022 Bitcoin prices dropped sharply to 15000 USD following the collapse of cryptocurrency exchange FTX and its bankruptcy which caused a loss of confidence in the market By August 2024 Bitcoin rebounded to approximately 64178 USD but remained volatile due to inflation and interest rate hikes Unlike fiat currency like the US dollar Bitcoin’s supply is finite with 21 million coins as its maximum supply By September 2024 over 92 percent of Bitcoin had been mined Bitcoin’s value is tied to its scarcity and its mining process is regulated through halving events which cut the reward for mining every four years making it harder and more energy-intensive to mine The next halving event in 2024 will reduce the reward to 3125 BTC from its current 625 BTC The final Bitcoin is expected to be mined around 2140 The energy required to mine Bitcoin has led to criticisms about its environmental impact with estimates in 2021 suggesting that one Bitcoin transaction used as much energy as Argentina Bitcoin’s future price is difficult to predict due to the influence of large holders known as whales who own about 92 percent of all Bitcoin These whales can cause dramatic market swings by making large trades and many retail investors still dominate the market While institutional interest has grown it remains a small fraction compared to retail Bitcoin is vulnerable to external factors like regulatory changes and economic crises leading some to believe it is in a speculative bubble However others argue that Bitcoin is still in its early stages of adoption and will grow further as more institutions and governments recognize its potential as a hedge against inflation and a store of value 2024 has also seen the rise of Bitcoin Layer 2 technologies like the Lightning Network which improve scalability by enabling faster and cheaper transactions These innovations are crucial for Bitcoin’s wider adoption especially for day-to-day use and cross-border remittances At the same time central bank digital currencies CBDCs are gaining traction as several governments including China and the European Union have accelerated the development of their own state-controlled digital currencies while Bitcoin remains decentralized offering financial sovereignty for those who prefer independence from government control The rise of CBDCs is expected to increase interest in Bitcoin as a hedge against these centralized currencies Bitcoin’s journey in 2024 highlights its growing institutional acceptance alongside its inherent market volatility While the approval of Bitcoin ETFs has significantly boosted interest the market remains sensitive to events like exchange collapses and regulatory decisions With the limited supply of Bitcoin and improvements in its transaction efficiency it is expected to remain a key player in the financial world for years to come Whether Bitcoin is currently in a speculative bubble or on a sustainable path to greater adoption will ultimately be revealed over time.

Political attitudes and judgement on the parties. Topics: judgement on the economic situation of the FRG and assessment of further economic development; political interest; most important political events in the last year; judgement on relations with the GDR; party preference (ballot procedure and rank order procedure); characterization of current SPD/FDP government; most important political tasks of the Federal Republic; party inclination; party identification; sympathy scale for parties; task preference in the education area; assessment of relationship of price increases and wage or salary increases; expected price development next year; self-assessment and classification of parties on a left-right continuum; assessment of importance of selected issues and the supposed position of the CDU/CSU as well as the SPD on these questions; attitude to employment of radicals in the civil service as teachers as well as civil servants; use of money given a fictitious doubling of personal income; familiarity of the Jusos {young socialists} and their expected influence on political events in the Federal Republic; behavior at the polls in the last Federal Parliament election; designation of groups and persons, dangerous to the state; attitude to saving (scale). Demography: date of birth; sex; marital status; religious denomination; frequency of church attendance; school education; occupational position; current and earlier employment; monthly net income of head of household; monthly net household income; number of persons contributing to household income; position of respondent in household; characteristics of head of household; number of persons in household eligible to vote; city size; state; refugee status; union membership; possession of a telephone. Interviewer rating: interest of respondent in survey topic; number of contact attempts; date of interview; length of interview. Politische Einstellungen und Beurteilung der Parteien. Themen: Beurteilung der wirtschaftlichen Lage der BRD und Einschätzung der weiteren wirtschaftlichen Entwicklung; politisches Interesse; wichtigste politische Ereignisse im letzten Jahr; Beurteilung der Beziehungen zur DDR; Parteipräferenz (Stimmzettelverfahren und Rangordnungsverfahren); Charakterisierung der derzeitigen SPD/FDP-Regierung; wichtigste politische Aufgaben der Bundesrepublik; Parteineigung; Parteiidentifikation; Sympathie-Skalometer für die Parteien; Aufgabenpräferenz im Bildungsbereich; Einschätzung des Verhältnisses von Preissteigerungen und Lohnbzw. Gehaltserhöhungen; erwartete Preisentwicklung im nächsten Jahr; Selbsteinschätzung und Einstufung der Parteien auf einem Links-Rechts-Kontinuum; Einschätzung der Wichtigkeit ausgewählter Issues und der vermeintlichen Position der CDU/CSU sowie der SPD zu diesen Fragen; Einstellung zur Beschäftigung von Radikalen im Öffentlichen Dienst als Lehrer sowie als Beamte; Geldverwendung bei einer fiktiven Verdoppelung des eigenen Einkommens; Bekanntheit der Jusos und deren vermuteter Einfluß auf das politische Geschehen in der Bundesrepublik; Wahlverhalten bei der letzten Bundestagswahl; Bezeichnung von Gruppen und Personen, die für den Staat gefährlich sind; Einstellung zum Sparen (Skala). Demographie: Geburtsdatum; Geschlecht; Familienstand; Konfession; Kirchgangshäufigkeit; Schulbildung; berufliche Position; aktuelle und frühere Berufstätigkeit; monatliches Netto-Einkommen des Haushaltsvorstands; monatliches Netto-Haushaltseinkommen; Anzahl Personen, die zum Haushaltseinkommen beitragen; Stellung des Befragten im Haushalt; Charakteristika des Haushaltsvorstands; Anzahl der wahlberechtigten Personen im Haushalt; Ortsgröße; Bundesland; Flüchtlingsstatus; Gewerkschaftsmitgliedschaft; Telefonbesitz. Interviewerrating: Interesse des Befragten am Befragungsthema; Anzahl der Kontaktversuche; Interviewdatum; Interviewdauer. Probability: MultistageProbability.Multistage Wahrscheinlichkeitsauswahl: Mehrstufige ZufallsauswahlProbability.Multistage

Household Saving Rate in the United States increased to 4.60 percent in January from 3.50 percent in December of 2024. This dataset provides - United States Personal Savings Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Comprehensive global estimates based on projections, models, analysis and research. Available as global, international or North American company packages.

The benchmark interest rate in Sweden was last recorded at 2.25 percent. This dataset provides the latest reported value for - Sweden Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The benchmark interest rate in Thailand was last recorded at 2 percent. This dataset provides - Thailand Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.