FRED has added 5,582 data series from the Annual Integrated Economic Survey (AIES) reported by the U.S. Census.

The AIES data provide the most comprehensive national data on business revenues, expenses, payroll, and employment for 1,046 economic activities on an annual basis. Data are mapped to the North American Industry Classification System (NAICS) and are available across the following seven industries: agriculture, construction, manufacturing, mining, retail, services, and wholesale trade.

More details are available here.

The livestream will be available to view on this page on October 1, 9am-4pm CT. No registration needed.

You can also watch the livestream directly on the St. Louis Fed YouTube channel: https://www.youtube.com/live/1fK5omRbOvM?si=TFiZLa9fTa5rFpq3

The program features four dynamic panels, each facilitated by renowned leaders in academia, industry, and government. Hear from and engage with thought leaders and innovators from Amazon, FedEx, The Economist, the U.S. Census Bureau, and the St. Louis Fed in this day-long conference. Fed Governor Christopher Waller will provide opening remarks.

FRED has added two data series about the monthly median (50th percentile) probability of recession for the United States and the Euro Area reported by researchers Francesco Furno and Domenico Giannone.

Values range from 0 to 100, where values closer to 100 indicate higher probability of recession. United States data are available starting January 1980 and Euro Area data are available starting January 1985.

For details about the methodology, read the authors’ academic work.

FRED has added 137 data series about the adoption of generative artificial intelligence (AI) technology in the United States, reported by Alexander Bick, Adam Blandin, and David Deming.

The researchers use information collected through the Real-Time Population Survey (RPS) to measure (a) the share of working-age adults using generative AI for work, outside of work, and overall, (b) the reported time savings due to generative AI use, and (c) comparative usage rates for generative AI, computers, and the Internet. Some of these findings, such as adoption rates at work and time savings, are further broken down by industry and occupation.

More details are available here.

FRED has added 420 data series from the Small Business Credit Survey (SBCS) reported by the Federal Reserve Bank of Cleveland.

The SBCS captures the perspectives of business owners operating firms with fewer than 500 employees; it is conducted in partnership with business and industry associations, local agencies, and nonprofits. Because it is a convenience-sample survey, the data are weighted using Census Bureau data to match the distribution of firms in the SBCS sample to the distribution of small employer firms (1–499 employees) in the United States by age of the business, industry, number of employees, census division, urban or rural location, and owner’s race, ethnicity, and gender. The SBCS is conducted each year in the fall, and reports on the results are released beginning the following spring.

More details are available here.

FRED has added 85 data series from the Survey of Household Economics and Decisionmaking (SHED) reported by the Board of Governors of the Federal Reserve System.

The survey measures the economic well-being of U.S. households and identifies potential risks to their finances. Survey topics include credit access and behaviors, savings, retirement, employment, economic fragility, and housing. The SHED is administered to respondents entirely online. Participants are selected to represent the overall population of U.S. adults 18 years old and older.

The survey has been fielded in the fall each year since 2013. Staff of the Federal Reserve Board write the survey questions in consultation with other Federal Reserve System staff, outside academics, and professional survey experts. More details are available here.

FRED has added 6 data series about preferences for and perceptions of financial risks reported by the Federal Reserve Bank of Kansas City.

• The Risk-On Risk-Off (RORO) Index uses daily data from asset markets in the United States and euro area to measure the variation in global investors’ risk appetites. An index value larger than zero suggests investors are likely avoiding risk, whereas a negative value suggests investors are likely taking on more risk. More details are available here.

• The Kansas City Fed’s Measure of Policy Rate Skew (KC PRS) is a daily measure of how financial markets perceive the balance of risks to short-term U.S. interest rates one year in the future. A positive value of policy rate skew indicates financial markets believe interest rates are more likely to end up higher than projected, whereas a negative value suggests rates could end up lower than projected. More details are available here.