By April 2026, it is projected that there is a probability of ***** percent that the United States will fall into another economic recession. This reflects a significant decrease from the projection of the preceding month.

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.

View monthly updates and historical trends for US Recession Probability. from United States. Source: Federal Reserve Bank of New York. Track economic data…

Graph and download economic data for Dates of U.S. recessions as inferred by GDP-based recession indicator (JHDUSRGDPBR) from Q4 1967 to Q1 2025 about recession indicators, GDP, and USA.

With the collapse of the U.S. housing market and the subsequent financial crisis on Wall Street in 2007 and 2008, economies across the globe began to enter into deep recessions. What had started out as a crisis centered on the United States quickly became global in nature, as it became apparent that not only had the economies of other advanced countries (grouped together as the G7) become intimately tied to the U.S. financial system, but that many of them had experienced housing and asset price bubbles similar to that in the U.S.. The United Kingdom had experienced a huge inflation of housing prices since the 1990s, while Eurozone members (such as Germany, France and Italy) had financial sectors which had become involved in reckless lending to economies on the periphery of the EU, such as Greece, Ireland and Portugal. Other countries, such as Japan, were hit heavily due their export-led growth models which suffered from the decline in international trade. Unemployment during the Great Recession As business and consumer confidence crashed, credit markets froze, and international trade contracted, the unemployment rate in the most advanced economies shot up. While four to five percent is generally considered to be a healthy unemployment rate, nearing full employment in the economy (when any remaining unemployment is not related to a lack of consumer demand), many of these countries experienced rates at least double that, with unemployment in the United States peaking at almost 10 percent in 2010. In large countries, unemployment rates of this level meant millions or tens of millions of people being out of work, which led to political pressures to stimulate economies and create jobs. By 2012, many of these countries were seeing declining unemployment rates, however, in France and Italy rates of joblessness continued to increase as the Euro crisis took hold. These countries suffered from having a monetary policy which was too tight for their economies (due to the ECB controlling interest rates) and fiscal policy which was constrained by EU debt rules. Left with the option of deregulating their labor markets and pursuing austerity policies, their unemployment rates remained over 10 percent well into the 2010s. Differences in labor markets The differences in unemployment rates at the peak of the crisis (2009-2010) reflect not only the differences in how economies were affected by the downturn, but also the differing labor market institutions and programs in the various countries. Countries with more 'liberalized' labor markets, such as the United States and United Kingdom experienced sharp jumps in their unemployment rate due to the ease at which employers can lay off workers in these countries. When the crisis subsided in these countries, however, their unemployment rates quickly began to drop below those of the other countries, due to their more dynamic labor markets which make it easier to hire workers when the economy is doing well. On the other hand, countries with more 'coordinated' labor market institutions, such as Germany and Japan, experiences lower rates of unemployment during the crisis, as programs such as short-time work, job sharing, and wage restraint agreements were used to keep workers in their jobs. While these countries are less likely to experience spikes in unemployment during crises, the highly regulated nature of their labor markets mean that they are slower to add jobs during periods of economic prosperity.

This statistic shows, the impact of the recession on the unemployment rate in America, by degree of education attained. Due to the recession, the unemployment rate of people who have a high school diploma increased from *** percent to **** percent.

Projected median recession rate of last spring freeze (days per decade) at three locations in the Northeast United States under two emission scenarios during the 21st century.

United States Recession Probability data was reported at 14.120 % in Oct 2019. This records a decrease from the previous number of 14.505 % for Sep 2019. United States Recession Probability data is updated monthly, averaging 7.668 % from Jan 1960 (Median) to Oct 2019, with 718 observations. The data reached an all-time high of 95.405 % in Dec 1981 and a record low of 0.080 % in Sep 1983. United States Recession Probability data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.S021: Recession Probability.

United States - GDP-Based Recession Indicator Index was 11.70000 Percentage Points in January of 2025, according to the United States Federal Reserve. Historically, United States - GDP-Based Recession Indicator Index reached a record high of 100.00000 in April of 2020 and a record low of 0.00000 in July of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - GDP-Based Recession Indicator Index - last updated from the United States Federal Reserve on September of 2025.

We use the yield curve to predict future GDP growth and recession probabilities. The spread between short- and long-term rates typically correlates with economic growth. Predications are calculated using a model developed by the Federal Reserve Bank of Cleveland. Released monthly.

This release looks at the increase in unemployment during the recent economic downturn. Increases in unemployment will be compared across regions in the UK, age groups, gender and other characteristics. Claimant count data will also be included.

Source agency: Office for National Statistics

Designation: National Statistics

Language: English

Alternative title: Unemployment during the economic downturn

Graph and download economic data for GDP-Based Recession Indicator Index (JHGDPBRINDX) from Q4 1967 to Q1 2025 about recession indicators, percent, GDP, and indexes.

We show that a simple and intuitive three-parameter equation fits remarkably well the evolution of the gross domestic product (GDP) in current and constant dollars of many countries during times of recession and recovery. We then argue that this equation is the response function of the economy to isolated shocks, hence that it can be used to detect large and small shocks, including those which do not lead to a recession; we also discuss its predictive power. Finally, a two-sector toy model of recession and recovery illustrates how the severity and length of recession depends on the dynamics of transfer rate between the growing and failing parts of the economy.

The weekly gross domestic product (GDP) growth rate fluctuated significantly in the United States between January 2021 and April 2023. Between January and April 2021, it increased sharply from ***** percent to ***** percent. From April 2021 onwards, it started to decrease drastically, with slight occasional increases, and reached its lowest value at negative **** percent in November 2022. After November 2022, the weekly GDP growth rate increased notably.

Graph and download economic data for Unemployment Rate - 16-24 Yrs. (LNU04024887) from Jan 1948 to Aug 2025 about 16 to 24 years, unemployment, rate, and USA.

Graph and download economic data for Sahm Rule Recession Indicator (SAHMCURRENT) from Mar 1949 to Aug 2025 about recession indicators, academic data, and USA.

This paper provides revealed-preference estimates of the monetary value to workers of a lower unemployment rate at the time of job separation. By examining the decision between reenlisting and exiting the military, we find that service members would sacrifice 1.5-2 percent in earnings to avoid a 1 percentage point increase in the home-state unemployment rate during job search. Comparing these quantities to realized earnings losses for those who separate suggests that the value of non-work time and other factors (e.g., private and public transfers) offset less than one-third of the earnings losses caused by exiting the military into a weak labor market.

In this paper, we document trends in credit use across income groups in the period surrounding the Great Recession. We investigate trends in access to different credit markets, including mortgages, home equity, automobiles, and student loans. We disentangle growth rates of new market entrants from the aggregates and analyze overall as well as within-county growth rate differentials across income strata. Our findings may provide insight into the financial well-being of different income groups in the context of the Great Recession.

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.

DTRTU Stock: Are We Headed for a Recession?

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

Graph and download economic data for NBER based Recession Indicators for the United States from the Period following the Peak through the Trough (USRECD) from 1854-12-01 to 2025-09-25 about peak, trough, recession indicators, and USA.