Empire State Manufacturing Survey: New 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 surveyed by the Fed, the seasonally unadjusted diffusion index for new orders (share of CEOs seeing a future increase minus share forecasting a decrease) was 19.8 in October 2026, compared to 17.8 in September.
Sample. This monthly time series has 304 records in total. The period covered by the series extends from July 2001 to October 2026.
History. Here's a peek at a few simple statistics computed on the whole sample: the diffusion index was equal on average to 34.4; it recorded its maximum of 73.0 in April 2002; it reached a minimum of -15.7 in September 2001.
Latest values
| Date | Value - Percentage points |
|---|---|
| 2026-08-31 | 25.8000 |
| 2026-09-30 | 17.8000 |
| 2026-10-31 | 19.8000 |
Heads-up. For our users' convenience, we group time series into data sets and worksheets. When you look below, you will discover how we arranged further information related to the statistics found here.
Not for investment purposes. Content provided on this web site is not intended for investment purposes or any other financial decision. Users should obtain expert advice and perform independent analysis before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Diffusion index for the question: Will new 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.