Texas Manufacturing Outlook Survey: Prices received: Future (increase vs decrease; diffusion index; percentage points; seasonally unadjusted) - United States - Dallas FED - Monthly
This series is part of the dataset: Texas Manufacturing Outlook Survey (Dallas FED)
Download Full Dataset (.xlsx)Latest updates. According to survey data about manufacturers based in Texas, the seasonally unadjusted diffusion index for prices received (share of CEOs seeing a future increase minus share forecasting a decrease) was 38.8 in November 2025, versus 37.3 in the previous month.
Sample. The monthly time series plotted above has 257 records. The period covered by the series extends from June 2004 to November 2025.
History. Check out some statistics calculated on the full sample: the diffusion index was equal on average to 21.4; it hit a minimum of -24.0 in February 2009; it recorded its maximum of 59.2 in March 2022.
Latest values
| Date | Value - Percentage points |
|---|---|
| 2025-09-30 | 39.7 |
| 2025-10-31 | 37.3 |
| 2025-11-30 | 38.8 |
Hint. Our metadata often include links to the original sources of the data we provide. You can use these links to find more details.
Not for investment purposes. Time series and other data distributed on this web site are not not supposed to be used for investment purposes or as a basis for making financial decisions. Users should obtain expert advice and do independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Diffusion index for the question: Will prices received 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 Dallas |
| Source type | Central bank |
| Data licence | Not copyrightable under U.S. law |
| 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.