Manufacturing with Unfilled Orders Value of Shipments (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, shipments made by manufacturing industries maintaining backlogs of unfilled orders stood at 223.46 billion US dollars in April 2026, compared to 242.07 in the previous month. This represents a decrease of 7.69 percent.
Sample. In the monthly series shown in the chart, there are 412 records. The time span covered by the series goes from January 1992 to April 2026.
History. Here’s a quick look at a few simple statistics we computed on the entire sample: shipments hit a trough of 76.62 billion US dollars in January 1992; they peaked at 242.07 in March 2026; they were equal on average to 147.03.
Latest values
| Date | Value - US dollars (USD) million |
|---|---|
| 2026-02-28 | 210108.0 |
| 2026-03-31 | 242071.0 |
| 2026-04-30 | 223455.0 |
Heads-up. Our metadata often include references to the sources of the time-series data shown on FetchSeries. You can use these references to search for additional information needed in your analyses.
Not for investment purposes. Any data published on FetchSeries are not not supposed to be used for investment purposes or as a basis for making financial decisions. Users should ask for professional advice and do their own independent due diligence before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Manufacturing with Unfilled Orders Value of Shipments |
| Country | United States |
| Economic concept | Flow |
| 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.