Empire State Manufacturing Survey: Unfilled orders: Future (increase vs decrease; diffusion index; percentage points; seasonally unadjusted) - United States - NY FED - Monthly
This series is part of the dataset: Empire State Manufacturing Survey (NY FED)
Download Full Dataset (.xlsx)Latest updates. Based on a sample of manufacturing firms surveyd by the FED, the seasonally unadjusted diffusion index for unfilled orders (share of CEOs seeing a future increase minus share forecasting a decrease) stood at 8.9 in June 2026, versus 7.8 in May.
Sample. In this monthly time series, there are 300 observations in total. The series covers the time period extending from July 2001 to June 2026.
History. Check out a few descriptive statistics calculated on the full sample: the diffusion index reached a trough of -23.6 in September 2022; it hit a peak of 29.8 in January 2003; it was equal on average to 4.8.
Latest values
| Date | Value - Percentage points |
|---|---|
| 2026-04-30 | 7.1 |
| 2026-05-31 | 7.8 |
| 2026-06-30 | 8.9 |
Suggestion. An advantage of using our web site is that we publish accurate metadata. Check it below to better understand the characteristics of the time series that you are exploring.
Not for investment purposes. Data made available on FetchSeries are not meant for investment purposes or other financial decisions. Users should obtain expert advice and perform independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Diffusion index for the question: Will unfilled orders increase or decrease over the next six months? |
| Country | United States |
| Economic concept | Business survey response |
| Data type | Leading indicator of the business cycle |
| Deflation method | Not applicable |
| Seasonally adjusted | No |
| Rescaling | None |
| Frequency | Monthly |
| Unit | Percentage points |
| Source | Federal Reserve Bank of New York |
| Source type | Central bank |
| Data licence | Free use subject to conditions |
| Measure type | Diffusion index (share of respondents reporting an increase minus share reporting a decrease) |
Series in the same data set
Discover the other time series included in this data set.