Average Fed Srv Survey: Hours worked / average workweek: Current (increase vs decrease; diffusion index; percentage points; seasonally adjusted) - United States - FSR - Monthly
This series is part of the dataset: Average Fed Srv Survey (FetchSeries Research)
Download Full Dataset (.xlsx)Latest updates. Based on an average of regional Federal Reserve services surveys, the seasonally adjusted diffusion index for hours worked / average workweek stood at 1.2 (share of CEOs seeing a recent increase minus share reporting a decrease) in September 2026, versus -4.2 in August.
Sample. There are 153 data points in the monthly series shown in the plot above. The time range covered by the series is from January 2014 to September 2026.
History. Have a look at some descriptive statistics we calculated on the entire sample: the diffusion index had a mean value of 6.5; it reached a maximum of 19.4 in November 2021; it reached a trough of -52.4 in April 2020.
Latest values
| Date | Value - Percentage points |
|---|---|
| 2026-07-31 | 4.90000 |
| 2026-08-31 | -4.23333 |
| 2026-09-30 | 1.20000 |
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Series Metadata
| Field | Value |
|---|---|
| Description | Diffusion index for the question: Did hours worked or the average employee workweek increase or decrease in the past month? |
| Country | United States |
| Economic concept | Business survey response |
| Data type | Coincident indicator of the business cycle |
| Seasonally adjusted | Yes |
| Deflation method | Not applicable |
| Rescaling | None |
| Measure type | Diffusion index (share of respondents reporting an increase minus share reporting a decrease) |
| Frequency | Monthly |
| Unit | Percentage points |
| Source | FetchSeries Research calculations on Federal Reserve data |
| Source type | Data research lab |
| Data licence | Creative Commons Attribution 4.0 International (CC BY 4.0) + FetchSeries disclaimers |
| Other information | Arithmetic average across 4 regional Federal Reserve services surveys |
| FSR temporal aggregation code | LM01 |
Series in the same data set
Discover the other time series included in this data set.