44 datasets found
  1. U.S. percent change in job cuts 2021-2022, by industry

    • statista.com
    Updated Jun 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). U.S. percent change in job cuts 2021-2022, by industry [Dataset]. https://www.statista.com/statistics/1368004/job-cuts-industry-us/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    According to a December 2022 report, the financial technology and technology industries saw the highest increases in job cuts when compared with the previous year. The financial technology (FinTech) industry saw a ******* percent increase in job cuts in 2022. FinTech companies are those using non-traditional financial methods to deliver financial services such as AI, blockchain, cloud computing, and big data. The FinTech industry saw boom during the early days of the pandemic, driven by low interest rates and tight financial conditions for consumers.

  2. Monthly Fed funds effective rate in the U.S. 1954-2025

    • statista.com
    Updated May 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Monthly Fed funds effective rate in the U.S. 1954-2025 [Dataset]. https://www.statista.com/statistics/187616/effective-rate-of-us-federal-funds-monthly/
    Explore at:
    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 1954 - Aug 2025
    Area covered
    United States
    Description

    The U.S. federal funds effective rate underwent a dramatic reduction in early 2020 in response to the COVID-19 pandemic. The rate plummeted from 1.58 percent in February 2020 to 0.65 percent in March, and further decreased to 0.05 percent in April. This sharp reduction, accompanied by the Federal Reserve's quantitative easing program, was implemented to stabilize the economy during the global health crisis. After maintaining historically low rates for nearly two years, the Federal Reserve began a series of rate hikes in early 2022, with the rate moving from 0.33 percent in April 2022 to 5.33 percent in August 2023. The rate remained unchanged for over a year, before the Federal Reserve initiated its first rate cut in nearly three years in September 2024, bringing the rate to 5.13 percent. By December 2024, the rate was cut to 4.48 percent, signaling a shift in monetary policy in the second half of 2024. In January 2025, the Federal Reserve implemented another cut, setting the rate at 4.33 percent, which remained unchanged throughout the following months. What is the federal funds effective rate? The U.S. federal funds effective rate determines the interest rate paid by depository institutions, such as banks and credit unions, that lend reserve balances to other depository institutions overnight. Changing the effective rate in times of crisis is a common way to stimulate the economy, as it has a significant impact on the whole economy, such as economic growth, employment, and inflation. Central bank policy rates The adjustment of interest rates in response to the COVID-19 pandemic was a coordinated global effort. In early 2020, central banks worldwide implemented aggressive monetary easing policies to combat the economic crisis. The U.S. Federal Reserve's dramatic reduction of its federal funds rate - from 1.58 percent in February 2020 to 0.05 percent by April - mirrored similar actions taken by central banks globally. While these low rates remained in place throughout 2021, mounting inflationary pressures led to a synchronized tightening cycle beginning in 2022, with central banks pushing rates to multi-year highs. By mid-2024, as inflation moderated across major economies, central banks began implementing their first rate cuts in several years, with the U.S. Federal Reserve, Bank of England, and European Central Bank all easing monetary policy.

  3. Monthly inflation rate and Federal Reserve interest rate in the U.S....

    • statista.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista, Monthly inflation rate and Federal Reserve interest rate in the U.S. 2018-2025 [Dataset]. https://www.statista.com/statistics/1312060/us-inflation-rate-federal-reserve-interest-rate-monthly/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Jul 2025
    Area covered
    United States
    Description

    The inflation rate in the United States declined significantly between June 2022 and July 2025, despite rising inflationary pressures towards the end of 2024. The peak inflation rate was recorded in June 2022, at *** percent. In August 2023, the Federal Reserve's interest rate hit its highest level during the observed period, at **** percent, and remained unchanged until September 2024, when the Federal Reserve implemented its first rate cut since September 2021. By January 2025, the rate dropped to **** percent, signalling a shift in monetary policy. What is the Federal Reserve interest rate? The Federal Reserve interest rate, or the federal funds rate, is the rate at which banks and credit unions lend to and borrow from each other. It is one of the Federal Reserve's key tools for maintaining strong employment rates, stable prices, and reasonable interest rates. The rate is determined by the Federal Reserve and adjusted eight times a year, though it can be changed through emergency meetings during times of crisis. The Fed doesn't directly control the interest rate but sets a target rate. It then uses open market operations to influence rates toward this target. Ways of measuring inflation Inflation is typically measured using several methods, with the most common being the Consumer Price Index (CPI). The CPI tracks the price of a fixed basket of goods and services over time, providing a measure of the price changes consumers face. At the end of 2023, the CPI in the United States was ****** percent, up from ****** a year earlier. A more business-focused measure is the producer price index (PPI), which represents the costs of firms.

  4. Central bank interest rates in the U.S. and Europe 2022-2023, with a...

    • statista.com
    Updated Jun 20, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Central bank interest rates in the U.S. and Europe 2022-2023, with a forecast to 2027 [Dataset]. https://www.statista.com/statistics/1429525/policy-interest-rates-forecast-in-europe-and-us/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Policy interest rates in the U.S. and Europe are forecasted to decrease gradually between 2024 and 2027, following exceptional increases triggered by soaring inflation between 2021 and 2023. The U.S. federal funds rate stood at **** percent at the end of 2023, the European Central Bank deposit rate at **** percent, and the Swiss National Bank policy rate at **** percent. With inflationary pressures stabilizing, policy interest rates are forecast to decrease in each observed region. The U.S. federal funds rate is expected to decrease to *** percent, the ECB refi rate to **** percent, the Bank of England bank rate to **** percent, and the Swiss National Bank policy rate to **** percent by 2025. An interesting aspect to note is the impact of these interest rate changes on various economic factors such as growth, employment, and inflation. The impact of central bank policy rates The U.S. federal funds effective rate, crucial in determining the interest rate paid by depository institutions, experienced drastic changes in response to the COVID-19 pandemic. The subsequent slight changes in the effective rate reflected the efforts to stimulate the economy and manage economic factors such as inflation. Such fluctuations in the federal funds rate have had a significant impact on the overall economy. The European Central Bank's decision to cut its fixed interest rate in June 2024 for the first time since 2016 marked a significant shift in attitude towards economic conditions. The reasons behind the fluctuations in the ECB's interest rate reflect its mandate to ensure price stability and manage inflation, shedding light on the complex interplay between interest rates and economic factors. Inflation and real interest rates The relationship between inflation and interest rates is critical in understanding the actions of central banks. Central banks' efforts to manage inflation through interest rate adjustments reveal the intricate balance between economic growth and inflation. Additionally, the concept of real interest rates, adjusted for inflation, provides valuable insights into the impact of inflation on the economy.

  5. U

    United States CSI: Government Economic Policy: Good Job

    • ceicdata.com
    Updated Apr 12, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2018). United States CSI: Government Economic Policy: Good Job [Dataset]. https://www.ceicdata.com/en/united-states/consumer-sentiment-index-unemployment-interest-rates-prices-and-government-expectations
    Explore at:
    Dataset updated
    Apr 12, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Description

    CSI: Government Economic Policy: Good Job data was reported at 28.000 % in May 2018. This records a decrease from the previous number of 30.000 % for Apr 2018. CSI: Government Economic Policy: Good Job data is updated monthly, averaging 19.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 49.000 % in Mar 1999 and a record low of 4.000 % in Dec 2008. CSI: Government Economic Policy: Good Job data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The question was: As to the economic policy of the government -- I mean steps taken to fight inflation or unemployment -- would you say the government is going a good job, only fair, or a poor job?

  6. Monthly bank rate in the UK 2012-2025

    • statista.com
    Updated Sep 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Monthly bank rate in the UK 2012-2025 [Dataset]. https://www.statista.com/statistics/889792/united-kingdom-uk-bank-base-rate/
    Explore at:
    Dataset updated
    Sep 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2012 - Aug 2025
    Area covered
    United Kingdom
    Description

    August 2024 marked a significant shift in the UK's monetary policy, as it saw the first reduction in the official bank base interest rate since August 2023. This change came after a period of consistent rate hikes that began in late 2021. In a bid to minimize the economic effects of the COVID-19 pandemic, the Bank of England cut the official bank base rate in March 2020 to a record low of *** percent. This historic low came just one week after the Bank of England cut rates from **** percent to **** percent in a bid to prevent mass job cuts in the United Kingdom. It remained at *** percent until December 2021 and was increased to one percent in May 2022 and to **** percent in October 2022. After that, the bank rate increased almost on a monthly basis, reaching **** percent in August 2023. It wasn't until August 2024 that the first rate decrease since the previous year occurred, signaling a potential shift in monetary policy. Why do central banks adjust interest rates? Central banks, including the Bank of England, adjust interest rates to manage economic stability and control inflation. Their strategies involve a delicate balance between two main approaches. When central banks raise interest rates, their goal is to cool down an overheated economy. Higher rates curb excessive spending and borrowing, which helps to prevent runaway inflation. This approach is typically used when the economy is growing too quickly or when inflation is rising above desired levels. Conversely, when central banks lower interest rates, they aim to encourage borrowing and investment. This strategy is employed to stimulate economic growth during periods of slowdown or recession. Lower rates make it cheaper for businesses and individuals to borrow money, which can lead to increased spending and investment. This dual approach allows central banks to maintain a balance between promoting growth and controlling inflation, ensuring long-term economic stability. Additionally, adjusting interest rates can influence currency values, impacting international trade and investment flows, further underscoring their critical role in a nation's economic health. Recent interest rate trends Between 2021 and 2024, most advanced and emerging economies experienced a period of regular interest rate hikes. This trend was driven by several factors, including persistent supply chain disruptions, high energy prices, and robust demand pressures. These elements combined to create significant inflationary trends, prompting central banks to raise rates in an effort to temper spending and borrowing. However, in 2024, a shift began to occur in global monetary policy. The European Central Bank (ECB) was among the first major central banks to reverse this trend by cutting interest rates. This move signaled a change in approach aimed at addressing growing economic slowdowns and supporting growth.

  7. U

    United States CSI: Government Economic Policy: Fair Job

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, United States CSI: Government Economic Policy: Fair Job [Dataset]. https://www.ceicdata.com/en/united-states/consumer-sentiment-index-unemployment-interest-rates-prices-and-government-expectations/csi-government-economic-policy-fair-job
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Description

    United States CSI: Government Economic Policy: Fair Job data was reported at 39.000 % in May 2018. This records a decrease from the previous number of 40.000 % for Apr 2018. United States CSI: Government Economic Policy: Fair Job data is updated monthly, averaging 48.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 64.000 % in Nov 1989 and a record low of 33.000 % in Feb 2018. United States CSI: Government Economic Policy: Fair Job data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The question was: As to the economic policy of the government -- I mean steps taken to fight inflation or unemployment -- would you say the government is going a good job, only fair, or a poor job?

  8. f

    Descriptive statistics.

    • plos.figshare.com
    xls
    Updated Aug 8, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yang Shuang; Muhammad Waris; Muhammad Kashif Nawaz; Cheng Chan; Ijaz Younis (2024). Descriptive statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0301829.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 8, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yang Shuang; Muhammad Waris; Muhammad Kashif Nawaz; Cheng Chan; Ijaz Younis
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Economic welfare is essential in the modern economy since it directly reflects the standard of living, distribution of resources, and general social satisfaction, which influences individual and social well-being. This study aims to explore the relationship between national income accounting different attributes and the economic welfare in Pakistan. However, this study used data from 1950 to 2022, and data was downloaded from the World Bank data portal. Regression analysis is used to investigate the relationship between them and is very effective in measuring the relationship between endogenous and exogenous variables. Moreover, generalized methods of movement (GMM) are used as the robustness of the regression. Our results show that foreign direct investment outflow, Gross domestic product growth rate, GDP per capita, higher Interest, market capitalization, and population growth have a significant negative on the unemployment rate, indicating the rise in these factors leads to a decrease in the employment rate in Pakistan. Trade and savings have a significant positive impact on the unemployment rate, indicating the rise in these factors leads to an increase in the unemployment rate for various reasons. Moreover, all the factors of national income accounting have a significant positive relationship with life expectancy, indicating that an increase in these factors leads to an increase in economic welfare and life expectancy due to better health facilities, many resources, and correct economic policies. However, foreign direct investment, inflation rate, lending interest rate, and population growth have significant positive effects on age dependency, indicating these factors increase the age dependency. Moreover, GDP growth and GDP per capita negatively impact age dependency. Similarly, all the national income accounting factors have a significant negative relationship with legal rights that leads to decreased legal rights. Moreover, due to better health facilities and health planning, there is a negative significant relationship between national income accounting attributes and motility rate among children. Our study advocated the implications for the policymakers and the government to make policies for the welfare and increase the social factors.

  9. Online Recruitment Sites in the UK - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    IBISWorld (2024). Online Recruitment Sites in the UK - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-kingdom/market-research-reports/online-recruitment-sites-industry/
    Explore at:
    Dataset updated
    Aug 25, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    United Kingdom
    Description

    Over the five years through 2024-25, Online Recruitment Site industry revenue is anticipated to increase at a compound annual rate of 4.1%. Online recruitment sites have become increasingly popular and a mainstream way to find a job. While site operators can't charge candidates, having more registered CVs and website visitors allows online recruitment companies to command a higher fee from businesses for their services. Sites have prioritised expanding ancillary services to attract more clients and ensure successful placements. Regarding employment trends, government, healthcare, education, IT and technology, and the hospitality and tourism markets have been the driving force for demand in recent years. The COVID-19 outbreak in 2020-21 was a challenging period as people were put off changing jobs due to the cloud of uncertainty and companies froze their hiring decisions. The job market rebounded as hiring surged in 2021-22 as the economy reopened and market confidence returned, with revenue for online sites ballooning by 42.5% to £846.5 million. The UK job market is continuing to cool in 2024 which will somewhat weigh on revenue in 2024-25. Demand for employees has softened but in some sectors is still strong. The number of vacancies as reported by the ONS has levelled at around 900,000, but is still above pre-pandemic levels. Revenue in 2024-25 is still set to grow by 5.4% to £938.9 million. Over the five years through 2029-30, industry revenue is expected to increase at a compound annual rate of 7.8% to reach £1.4 billion. The change of government leadership and evolving inflation management plan through interest rate cuts moving forwards will continue to weigh on demand. Nonetheless, opportunities for growth remain. Health and social care will remain key sectors in the short term, particularly as shortages plague the industry. Upskilling features and courses will be critical to success with a widening skills gap between what vacancies need and what candidates can offer. Advanced analytics, mobile-friendly platforms and social media will play increasingly important roles in the success of recruiters and applications. To reach and engage with a wider audience, social media and mobile will be important avenues to target prospective candidates.

  10. Autoliv Braces for Impact with 8,000 Job Cuts (Forecast)

    • kappasignal.com
    Updated Jun 8, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    KappaSignal (2023). Autoliv Braces for Impact with 8,000 Job Cuts (Forecast) [Dataset]. https://www.kappasignal.com/2023/06/autoliv-braces-for-impact-with-8000-job.html
    Explore at:
    Dataset updated
    Jun 8, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Autoliv Braces for Impact with 8,000 Job Cuts

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  11. U

    United States IIP: Assets: FD: OTC: Single Currency Interest Rate

    • ceicdata.com
    Updated Nov 27, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2021). United States IIP: Assets: FD: OTC: Single Currency Interest Rate [Dataset]. https://www.ceicdata.com/en/united-states/international-investment-position/iip-assets-fd-otc-single-currency-interest-rate
    Explore at:
    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    International Investment Position
    Description

    United States IIP: Assets: FD: OTC: Single Currency Interest Rate data was reported at 1,019.348 USD bn in Jun 2018. This records a decrease from the previous number of 1,112.095 USD bn for Mar 2018. United States IIP: Assets: FD: OTC: Single Currency Interest Rate data is updated quarterly, averaging 2,248.118 USD bn from Mar 2006 (Median) to Jun 2018, with 50 observations. The data reached an all-time high of 4,151.873 USD bn in Sep 2011 and a record low of 793.057 USD bn in Dec 2006. United States IIP: Assets: FD: OTC: Single Currency Interest Rate data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.JB011: BPM6: International Investment Position.

  12. Volcker Shock: federal funds, unemployment and inflation rates 1979-1987

    • statista.com
    Updated Sep 2, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Volcker Shock: federal funds, unemployment and inflation rates 1979-1987 [Dataset]. https://www.statista.com/statistics/1338105/volcker-shock-interest-rates-unemployment-inflation/
    Explore at:
    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1979 - 1987
    Area covered
    United States
    Description

    The Volcker Shock was a period of historically high interest rates precipitated by Federal Reserve Chairperson Paul Volcker's decision to raise the central bank's key interest rate, the Fed funds effective rate, during the first three years of his term. Volcker was appointed chairperson of the Fed in August 1979 by President Jimmy Carter, as replacement for William Miller, who Carter had made his treasury secretary. Volcker was one of the most hawkish (supportive of tighter monetary policy to stem inflation) members of the Federal Reserve's committee, and quickly set about changing the course of monetary policy in the U.S. in order to quell inflation. The Volcker Shock is remembered for bringing an end to over a decade of high inflation in the United States, prompting a deep recession and high unemployment, and for spurring on debt defaults among developing countries in Latin America who had borrowed in U.S. dollars.

    Monetary tightening and the recessions of the early '80s

    Beginning in October 1979, Volcker's Fed tightened monetary policy by raising interest rates. This decision had the effect of depressing demand and slowing down the U.S. economy, as credit became more expensive for households and businesses. The Fed funds rate, the key overnight rate at which banks lend their excess reserves to each other, rose as high as 17.6 percent in early 1980. The rate was allowed to fall back below 10 percent following this first peak, however, due to worries that inflation was not falling fast enough, a second cycle of monetary tightening was embarked upon starting in August of 1980. The rate would reach its all-time peak in June of 1981, at 19.1 percent. The second recession sparked by these hikes was far deeper than the 1980 recession, with unemployment peaking at 10.8 percent in December 1980, the highest level since The Great Depression. This recession would drive inflation to a low point during Volcker's terms of 2.5 percent in August 1983.

    The legacy of the Volcker Shock

    By the end of Volcker's terms as Fed Chair, inflation was at a manageable rate of around four percent, while unemployment had fallen under six percent, as the economy grew and business confidence returned. While supporters of Volcker's actions point to these numbers as proof of the efficacy of his actions, critics have claimed that there were less harmful ways that inflation could have been brought under control. The recessions of the early 1980s are cited as accelerating deindustrialization in the U.S., as manufacturing jobs lost in 'rust belt' states such as Michigan, Ohio, and Pennsylvania never returned during the years of recovery. The Volcker Shock was also a driving factor behind the Latin American debt crises of the 1980s, as governments in the region defaulted on debts which they had incurred in U.S. dollars. Debates about the validity of using interest rate hikes to get inflation under control have recently re-emerged due to the inflationary pressures facing the U.S. following the Coronavirus pandemic and the Federal Reserve's subsequent decision to embark on a course of monetary tightening.

  13. Employment Placement Agencies in Malta - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    IBISWorld (2025). Employment Placement Agencies in Malta - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/malta/industry/employment-placement-agencies/200301/
    Explore at:
    Dataset updated
    Aug 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Malta
    Description

    Employment placement agencies in Europe’s revenue is anticipated to contract at a compound annual rate of 9% over the five years through 2025 to €65.4 billion. The COVID-19 outbreak tanked business confidence and expansion plans because of economic uncertainty after months of global lockdowns, forcing hiring freezes in a tricky time for employment agencies. 2022 marked a resurgence for agencies, with companies entering a hiring frenzy post-pandemic. The labour market is cooling in 2025 amid greater global uncertainty with US tariffs impacting business confidence. Still, employment across Europe remains high. According to Eurostat data, employment in the EU reached a record peak of 75.8% in 2024. Companies enjoyed a post-COVID-19 boom in hiring, as the economy reopened and companies began to look to expand thanks to improved business confidence, which kept employment agencies busy. The labour market has proved resilient against the economic background of high interest rates and high inflation in recent years, but remains tight with several unfilled vacancies. Vacancies have dipped from the sharp rise post-COVID-19 when companies unfroze hiring decisions. Available vacancies are proving difficult to fill in 2025, indicating a skills mismatch between job seekers and roles that agencies are struggling to negotiate. Several countries attempt to address long-standing labour shortages to ameliorate professional mobility and offer training courses for in-demand skills through agencies. France, for example, is addressing youth unemployment through upskilling training programmes. Public sector hiring in Germany and Spain in health and education also pushes revenue growth for agencies compared to stunted private sector demand. Revenue is expected to rise by 8.7% in 2025 amid job cuts in the technology sector. Revenue is projected to swell at a compound annual rate of 13.2% over the five years through 2030 to reach €121.6 billion. Agencies will continue to target revenue growth by elevating their online presence, specialising their services towards more niche sectors and targeting executives and upper management positions. Technological developments remain a threat to recruiters, with HR AI systems like Paradox able to scan networking platforms such as LinkedIn for candidates. Companies’ in-house HR teams are expanding too. The sustainability sector looks to be a hot property job market to target, but potential shortages in both high and low-skilled occupations driven by employment growth in STEM professions and healthcare will create hurdles in the hiring process in other sectors.

  14. U

    United States CSI: Government Economic Policy

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, United States CSI: Government Economic Policy [Dataset]. https://www.ceicdata.com/en/united-states/consumer-sentiment-index-unemployment-interest-rates-prices-and-government-expectations/csi-government-economic-policy
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Description

    United States CSI: Government Economic Policy data was reported at 97.000 1966=100 in May 2018. This records a decrease from the previous number of 102.000 1966=100 for Apr 2018. United States CSI: Government Economic Policy data is updated monthly, averaging 89.000 1966=100 from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 143.000 1966=100 in Feb 1999 and a record low of 48.000 1966=100 in Aug 2011. United States CSI: Government Economic Policy data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The question was: As to the economic policy of the government -- I mean steps taken to fight inflation or unemployment -- would you say the government is going a good job, only fair, or a poor job?

  15. f

    Correlation matrix.

    • figshare.com
    xls
    Updated Aug 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yang Shuang; Muhammad Waris; Muhammad Kashif Nawaz; Cheng Chan; Ijaz Younis (2024). Correlation matrix. [Dataset]. http://doi.org/10.1371/journal.pone.0301829.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 8, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yang Shuang; Muhammad Waris; Muhammad Kashif Nawaz; Cheng Chan; Ijaz Younis
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Economic welfare is essential in the modern economy since it directly reflects the standard of living, distribution of resources, and general social satisfaction, which influences individual and social well-being. This study aims to explore the relationship between national income accounting different attributes and the economic welfare in Pakistan. However, this study used data from 1950 to 2022, and data was downloaded from the World Bank data portal. Regression analysis is used to investigate the relationship between them and is very effective in measuring the relationship between endogenous and exogenous variables. Moreover, generalized methods of movement (GMM) are used as the robustness of the regression. Our results show that foreign direct investment outflow, Gross domestic product growth rate, GDP per capita, higher Interest, market capitalization, and population growth have a significant negative on the unemployment rate, indicating the rise in these factors leads to a decrease in the employment rate in Pakistan. Trade and savings have a significant positive impact on the unemployment rate, indicating the rise in these factors leads to an increase in the unemployment rate for various reasons. Moreover, all the factors of national income accounting have a significant positive relationship with life expectancy, indicating that an increase in these factors leads to an increase in economic welfare and life expectancy due to better health facilities, many resources, and correct economic policies. However, foreign direct investment, inflation rate, lending interest rate, and population growth have significant positive effects on age dependency, indicating these factors increase the age dependency. Moreover, GDP growth and GDP per capita negatively impact age dependency. Similarly, all the national income accounting factors have a significant negative relationship with legal rights that leads to decreased legal rights. Moreover, due to better health facilities and health planning, there is a negative significant relationship between national income accounting attributes and motility rate among children. Our study advocated the implications for the policymakers and the government to make policies for the welfare and increase the social factors.

  16. f

    Measurement of independent variable.

    • plos.figshare.com
    xls
    Updated Aug 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yang Shuang; Muhammad Waris; Muhammad Kashif Nawaz; Cheng Chan; Ijaz Younis (2024). Measurement of independent variable. [Dataset]. http://doi.org/10.1371/journal.pone.0301829.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 8, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yang Shuang; Muhammad Waris; Muhammad Kashif Nawaz; Cheng Chan; Ijaz Younis
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Economic welfare is essential in the modern economy since it directly reflects the standard of living, distribution of resources, and general social satisfaction, which influences individual and social well-being. This study aims to explore the relationship between national income accounting different attributes and the economic welfare in Pakistan. However, this study used data from 1950 to 2022, and data was downloaded from the World Bank data portal. Regression analysis is used to investigate the relationship between them and is very effective in measuring the relationship between endogenous and exogenous variables. Moreover, generalized methods of movement (GMM) are used as the robustness of the regression. Our results show that foreign direct investment outflow, Gross domestic product growth rate, GDP per capita, higher Interest, market capitalization, and population growth have a significant negative on the unemployment rate, indicating the rise in these factors leads to a decrease in the employment rate in Pakistan. Trade and savings have a significant positive impact on the unemployment rate, indicating the rise in these factors leads to an increase in the unemployment rate for various reasons. Moreover, all the factors of national income accounting have a significant positive relationship with life expectancy, indicating that an increase in these factors leads to an increase in economic welfare and life expectancy due to better health facilities, many resources, and correct economic policies. However, foreign direct investment, inflation rate, lending interest rate, and population growth have significant positive effects on age dependency, indicating these factors increase the age dependency. Moreover, GDP growth and GDP per capita negatively impact age dependency. Similarly, all the national income accounting factors have a significant negative relationship with legal rights that leads to decreased legal rights. Moreover, due to better health facilities and health planning, there is a negative significant relationship between national income accounting attributes and motility rate among children. Our study advocated the implications for the policymakers and the government to make policies for the welfare and increase the social factors.

  17. Forecast of average bank interest rate in the UK 2008-2022

    • statista.com
    Updated May 30, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2022). Forecast of average bank interest rate in the UK 2008-2022 [Dataset]. https://www.statista.com/statistics/1118490/annual-average-bank-interest-rate-in-the-united-kingdom/
    Explore at:
    Dataset updated
    May 30, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    Based on an "illustrative scenario" in which the United Kingdom (UK) moves to a comprehensive free trade agreement with the European Union (EU) on the 1st of January 2021, this forecast shows the expected annual average bank base interest rate in response to the current Covid-19 pandemic. In a bid to minimize the economic effects of the Covid-19 virus, on the 19th of March 2020 the Bank of England cut the official bank base rate to a record low of 0.1 percent. This historic low came just one week after the Bank of England cut rates from 0.75 percent to 0.25 percent in a bid to prevent mass job cuts in the United Kingdom. In the current forecast scenario, bank interest rates are set to stay between 0.1 percent and 0.2 percent up to 2022.

  18. F

    France CG: Cash Basis: Interest Rate Swaps

    • ceicdata.com
    Updated Dec 15, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2017). France CG: Cash Basis: Interest Rate Swaps [Dataset]. https://www.ceicdata.com/en/france/negotiable-debt-service-and-government-cash-position-agence-france-tresor/cg-cash-basis-interest-rate-swaps
    Explore at:
    Dataset updated
    Dec 15, 2017
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    France
    Variables measured
    Public Sector Debt
    Description

    France CG: Cash Basis: Interest Rate Swaps data was reported at 25.000 EUR mn in 2017. This records a decrease from the previous number of 145.000 EUR mn for 2016. France CG: Cash Basis: Interest Rate Swaps data is updated yearly, averaging 222.000 EUR mn from Dec 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 519.000 EUR mn in 2006 and a record low of 25.000 EUR mn in 2017. France CG: Cash Basis: Interest Rate Swaps data remains active status in CEIC and is reported by Agence France Tresor. The data is categorized under Global Database’s France – Table FR.F034: Negotiable Debt Service and Government Cash Position: Agence France Tresor.

  19. Investment Banking & Securities Intermediation in the US - Market Research...

    • ibisworld.com
    Updated Jul 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    IBISWorld (2025). Investment Banking & Securities Intermediation in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/investment-banking-securities-intermediation-industry/
    Explore at:
    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    Strong returns in various financial markets and increased trading volumes have benefited businesses in the industry. Companies provide underwriting, brokering and market-making services for different financial instruments, including bonds, stocks and derivatives. Businesses benefited from improving macroeconomic conditions despite the high-interest-rate environment for most of the period due to inflationary pressures. However, the anticipation of interest rate cuts in the current year can limit interest income from fixed-income securities. As interest rates fall, fixed income securities will experience an outflow of capital and equities will experience an inflow of funds. The Fed is monitoring inflation, employment figures and the effects of tariffs along with other economic factors before making rate cut decisions. Overall, revenue has been growing at a CAGR of 8.5% to $491.0 billion over the past five years, including an expected increase of 1.8% in 2025 alone. Industry profit has grown during the same time due to greater interest income from bonds and will comprise 16.2% of revenue in the current year. While many industries struggled at the onset of the period due to economic disruptions stemming from the volatile economic environment and supply chain issues, businesses benefited from the volatility. Primarily, companies have benefited from increased trading activity on behalf of their clients due to fluctuations in asset prices. This has led to higher trade execution fees for firms at the onset of the period. Similarly, debt underwriting increased as many businesses have turned to investment bankers to help raise cash for various ventures. Also, improved scalability of operations, especially regarding trading services conducted by securities intermediaries, has helped increase industry profits. Structural changes have forced the industry's smaller businesses to evolve. Because competing in trading services requires massive investments in technology and compliance, boutique investment banks have alternatively focused on advising in merger and acquisition (M&A) activity. Boutique investment banks' total share of M&A revenue is forecast to grow through the end of 2030. Furthermore, the industry will benefit from improved macroeconomic conditions as inflationary pressures are expected to ease. This will help asset values rise and interest rate levels to be cut, thus allowing operators to generate more from equity underwriting and lending activities. Overall, revenue is forecast to grow at a CAGR of 1.4% to $526.8 billion over the five years to 2030.

  20. F

    Real-time Sahm Rule Recession Indicator

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Real-time Sahm Rule Recession Indicator [Dataset]. https://fred.stlouisfed.org/series/SAHMREALTIME
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Real-time Sahm Rule Recession Indicator (SAHMREALTIME) from Dec 1959 to Aug 2025 about recession indicators, academic data, and USA.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). U.S. percent change in job cuts 2021-2022, by industry [Dataset]. https://www.statista.com/statistics/1368004/job-cuts-industry-us/
Organization logo

U.S. percent change in job cuts 2021-2022, by industry

Explore at:
Dataset updated
Jun 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

According to a December 2022 report, the financial technology and technology industries saw the highest increases in job cuts when compared with the previous year. The financial technology (FinTech) industry saw a ******* percent increase in job cuts in 2022. FinTech companies are those using non-traditional financial methods to deliver financial services such as AI, blockchain, cloud computing, and big data. The FinTech industry saw boom during the early days of the pandemic, driven by low interest rates and tight financial conditions for consumers.

Search
Clear search
Close search
Google apps
Main menu