Manufacturing with Unfilled Orders Unfilled Orders (advance estimate; not seasonally adjusted; USD million) - United States - Census - Monthly
This series is part of the dataset: Advance manufacturing survey (U.S. Census)
Download Full Dataset (.xlsx)Latest updates. On a sesonally unadjusted basis, in the United States, unfilled orders placed with manufacturing industries maintaining backlogs of unfilled orders were 1,503.90 USD billion in November 2025, versus 1,486.43 in October 2025. This marks a gain of 1.18 percent.
Sample. There are 407 records overall in the monthly series shown in the plot above. The series covers the period stretching from January 1992 to November 2025.
History. Here are some summary statistics we calculated on the full sample: unfilled orders reached a trough of 421.07 USD billion in November 1993; they recorded their highest level of 1,503.90 in November 2025; they had a mean value of 851.13.
Latest values
| Date | Value - US dollars (USD) million |
|---|---|
| 2025-09-30 | 1487701.0 |
| 2025-10-31 | 1486430.0 |
| 2025-11-30 | 1503902.0 |
Suggestion. One of the advantages of our data visualization and download service is that we give you complete metadata. Check it below to delve deeper into the attributes of the indicators that you use in your research.
Not for investment purposes. Data collected and published on this web site are not not supposed to be used for investment purposes or any other financial decision. Users should obtain expert advice and perform independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Manufacturing with Unfilled Orders Unfilled Orders |
| Country | United States |
| Economic concept | Stock |
| Data type | Nominal aggregate |
| Deflation method | Current prices |
| Seasonally adjusted | No |
| Rescaling | None |
| Frequency | Monthly |
| Unit | US dollars (USD) million |
| Source | U.S. Census Bureau |
| Source type | National statistical agency |
| Data licence | Open Data |
| Measure type | Level |
Series in the same data set
Discover the other time series included in this data set.