As the final jobs report of the 2025 approaches (set to be released on January 9), economists are watching less for fireworks ...

"These statistical agencies are essential infrastructure," Nancy Potok said. "There are so many critical decisions made based on federal statistical data." ...

As such, it can be argued that trends in productivity are more important to watch than the release of the December nonfarm-payrolls report on Friday. The former can define the quality of the labor ...

Forecasters believe U.S. employment numbers expanded modestly in December, extending a streak of labor market weakness that has prompted the Federal Reserve to cut interest rates several times.

Show leaders how PPC performed, why results changed, and what to do next, with the context and clarity they need for 2026 ...

Statistical agencies have lost scores of staff under the Trump administration, threatening their ability to meet their ...

The Trump administration estimates that between 500,000 and 1 million criminal illegal immigrants are residing in the country ...

Discover how the U-6 Unemployment Rate provides a comprehensive look at joblessness, including underemployment, marginal attachment, and discouraged workers. Understand its economic significance.

A Columbia University public health instructor ranted to 400 incoming students about how the school’s prominent Jewish donors only made their gifts to “launder blood money” and denied the existence of ...

The US government has reopened following its longest-ever shutdown, setting the stage for the eventual release of the gold-standard federal data that is crucial in analyzing the health and trajectory ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

New research coordinated by the European Broadcasting Union (EBU) and led by the BBC has found that AI assistants – already a daily information gateway for millions of people – routinely misrepresent ...