Initial Jobless Claims in the United States decreased to 233 thousand in the week ending June 28 of 2025 from 237 thousand in the previous week. This dataset provides the latest reported value for - United States Initial Jobless Claims - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Jobless Claims 4-week Average in the United States decreased to 241.50 Thousand in June 28 from 245.25 Thousand in the previous week. This dataset provides - United States Jobless Claims 4-week Average- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Continuing Jobless Claims in the United States remained unchanged at 1964 thousand in the week ending June 21 of 2025 from 1964 thousand in the previous week. This dataset provides the latest reported value for - United States Continuing Jobless Claims - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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

Big data generated from the Internet offer great potential for predictive analysis. Here we focus on using online users’ Internet search data to forecast unemployment initial claims weeks into the future, which provides timely insights into the direction of the economy. To this end, we present a novel method Penalized Regression with Inferred Seasonality Module (PRISM), which uses publicly available online search data from Google. PRISM is a semiparametric method, motivated by a general state-space formulation, and employs nonparametric seasonal decomposition and penalized regression. For forecasting unemployment initial claims, PRISM outperforms all previously available methods, including forecasting during the 2008–2009 financial crisis period and near-future forecasting during the COVID-19 pandemic period, when unemployment initial claims both rose rapidly. The timely and accurate unemployment forecasts by PRISM could aid government agencies and financial institutions to assess the economic trend and make well-informed decisions, especially in the face of economic turbulence.

Economic forecasters pay especially close attention to labor market indicators during periods of economic uncertainty. Labor market data are thought to provide early evidence about changes in the course of the economy. This article examines whether monthly changes in labor market indicators are useful for predicting real GDP. It then examines whether weekly changes in initial and continuing unemployment insurance claims are useful for helping to predict changes in important labor market indicators. Incoming monthly data on nonfarm payroll jobs and the index of aggregate weekly hours help predict changes in real GDP growth, but data on the civilian unemployment rate do not. The authors also find that unemployment insurance claims help to predict changes in monthly labor variables. As others have found, these predictions work best in periods of recession. However, this article shows that there was also some predictive ability during the 1990s expansion.

Initial Jobless Claims in France increased to -11.20 thousand in May 2025 from -175.90 thousand in April 2025. This dataset provides the latest reported value for - France Initial Jobless Claims - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The global unemployment insurance market is projected to reach a value of USD 1,547.37 million by 2033, expanding at a CAGR of 6.4% from 2023 to 2033. The market is driven by factors such as the increasing number of unemployment claims due to the COVID-19 pandemic, the growing awareness of unemployment insurance programs, and the increasing adoption of digital technologies. The market is segmented on the basis of type, application, and region. The type segment includes compulsory unemployment insurance system, non-compulsory unemployment insurance system, double unemployment insurance system, and conditional unemployment relief system. The application segment includes foreign personnel, retired personnel, farmers, and others. The regional segment includes North America, South America, Europe, Middle East & Africa, and Asia Pacific. The key players in the global unemployment insurance market include ACE Insurance, Achmea, AEGON, Allianz, Anadolu Hayat Emeklilik, Assicurazioni Generali, Assurant, AIA Group, AlfaStrakhovanie, Banamex, Banco Bilbao Vizcaya Argentaria, Banco Bradesco, BNP Paribas Cardif, China Life Insurance Company, China Pacific Insurance, CNP Assurances, Credit Agricole, DZ Bank, Garanti Emeklilik ve Hayat, Great Eastern Holdings, Grupo Nacional Provincial, Hanwha Life Insurance Company, HDFC Standard Life Insurance Company, ICICI Prudential Life Insurance Company, and others. These players offer a wide range of unemployment insurance products and services to individuals and businesses across the globe.

The USA: Unemployment rate forecast: The latest value from 2030 is 3.76 percent, a decline from 3.8 percent in 2029. In comparison, the world average is 6.28 percent, based on data from 100 countries. Historically, the average for the USA from 1980 to 2030 is 5.82 percent. The minimum value, 3.63 percent, was reached in 2023 while the maximum of 9.71 percent was recorded in 1982.

According to predictions for 2019 to 2025, the unemployment rate will remain relatively stable in most world regions. In 2024 and 2025, it is estimated to be highest in Central and Western Asia followed by Africa and Latin America and the Caribbean. On the other hand, it was estimated to be lowest in Southeast Asia and The Pacific.

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

Russia MED Forecast: Unemployment Rate: Conservative Scenario data was reported at 4.663 % in 2024. This records a decrease from the previous number of 4.674 % for 2023. Russia MED Forecast: Unemployment Rate: Conservative Scenario data is updated yearly, averaging 4.777 % from Dec 2020 (Median) to 2024, with 5 observations. The data reached an all-time high of 5.768 % in 2020 and a record low of 4.663 % in 2024. Russia MED Forecast: Unemployment Rate: Conservative Scenario data remains active status in CEIC and is reported by Ministry of Economic Development of the Russian Federation. The data is categorized under Global Database’s Russian Federation – Table RU.GB010: Unemployment Rate: Forecast: Ministry of Economic Development.

FRBOP Forecast: Unemployment Rate: Median: sa: Plus 3 Qtrs data was reported at 3.769 % in Jun 2018. This records a decrease from the previous number of 3.804 % for Mar 2018. FRBOP Forecast: Unemployment Rate: Median: sa: Plus 3 Qtrs data is updated quarterly, averaging 5.900 % from Dec 1968 (Median) to Jun 2018, with 199 observations. The data reached an all-time high of 10.000 % in Mar 1983 and a record low of 3.769 % in Jun 2018. FRBOP Forecast: Unemployment Rate: Median: sa: Plus 3 Qtrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.G022: Current Population Survey: Unemployment Rate: Seasonally Adjusted: Forecast: Federal Reserve Bank of Philadelphia.

Forecast: Statutory Unemployment Insurance Expenditure on Active Promotion of Employment in Germany 2024 - 2028 Discover more data with ReportLinker!

In 2025, the annual unemployment rate of the United Kingdom is expected to be *** percent, compared with *** percent in 2024. Unemployment is forecast to fall to *** percent in 2026, gradually declining to *** percent by 2028. In the UK's last government budget in October 2024, the country's unemployment rate for 2025 was forecast to average out at *** percent, but this was increased to *** percent in the "Spring Statement" on public finances in March 2025. Uptick in unemployment after falling to historic lows A common indicator of an economy’s relative health, the unemployment rate in the UK generally fell throughout most of the 2010s, after reaching *** percent in late 2011. After a sudden increase in unemployment during the COVID-19 pandemic, there was a steep decline that lasted until August 2022, when the unemployment rate was just *** percent. There was then a rise in unemployment from 2023 onwards, which continued throughout 2024 and into 2025. This has been matched by a fall in UK job vacancies, which peaked at *** million in May 2022, but has been falling in most months since then, with approximately ******* vacancies in February 2025. Revisions to GDP and inflation for 2025 Since the global financial crisis of the late 2000s, and especially since the COVID-19 pandemic, the UK's economic growth has been poor, with the UK alternating between weak growth and slight contractions. For 2025, the UK economy is set to grow by just *** percent, a downgrade from *** percent predicted in late 2024. Inflation, which skyrocketed from late 2021 onwards, reached a peak of **** percent in October 2022, and although down to more usual levels by 2024, is expected to rise in 2025, reaching around *** percent by the second half of the year.

FRBOP Forecast: Annual Unemp Rate: Mean: sa: Current Plus 3 Yrs data was reported at 4.189 % in Jun 2018. This records a decrease from the previous number of 4.276 % for Mar 2018. FRBOP Forecast: Annual Unemp Rate: Mean: sa: Current Plus 3 Yrs data is updated quarterly, averaging 6.080 % from Jun 2009 (Median) to Jun 2018, with 37 observations. The data reached an all-time high of 8.134 % in Dec 2009 and a record low of 4.189 % in Jun 2018. FRBOP Forecast: Annual Unemp Rate: Mean: sa: Current Plus 3 Yrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.G022: Current Population Survey: Unemployment Rate: Seasonally Adjusted: Forecast: Federal Reserve Bank of Philadelphia.

Russia MED Forecast: Unemployment Rate: Base data was reported at 4.316 % in 2036. This records a decrease from the previous number of 4.333 % for 2035. Russia MED Forecast: Unemployment Rate: Base data is updated yearly, averaging 4.491 % from Dec 2016 (Median) to 2036, with 21 observations. The data reached an all-time high of 5.804 % in 2016 and a record low of 4.316 % in 2036. Russia MED Forecast: Unemployment Rate: Base data remains active status in CEIC and is reported by Ministry of Economic Development of the Russian Federation. The data is categorized under Global Database’s Russian Federation – Table RU.GB010: Unemployment Rate: Forecast: Ministry of Economic Development.

KR: Potential Employment data was reported at 28,536,778.120 Person in 2026. This records an increase from the previous number of 28,376,781.961 Person for 2025. KR: Potential Employment data is updated yearly, averaging 23,023,644.679 Person from Dec 1985 (Median) to 2026, with 42 observations. The data reached an all-time high of 28,536,778.120 Person in 2026 and a record low of 15,196,526.063 Person in 1985. KR: Potential Employment data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.EO: Employment and Unemployment: Forecast: OECD Member: Annual. ETPT-Potential employment of total economy OECD calculation, see OECD Economic Outlook database documentation

FRBOP Forecast: Unemployment Rate: Mean: sa: Plus 4 Qtrs data was reported at 3.694 % in Mar 2019. This records an increase from the previous number of 3.632 % for Dec 2018. FRBOP Forecast: Unemployment Rate: Mean: sa: Plus 4 Qtrs data is updated quarterly, averaging 5.758 % from Dec 1968 (Median) to Mar 2019, with 197 observations. The data reached an all-time high of 9.859 % in Mar 1983 and a record low of 3.632 % in Dec 2018. FRBOP Forecast: Unemployment Rate: Mean: sa: Plus 4 Qtrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s United States – Table US.G025: Current Population Survey: Unemployment Rate: Seasonally Adjusted: Forecast: Federal Reserve Bank of Philadelphia.

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.

The Search for Cheapness: How Unemployment Drives Online Shopping

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