Durable Goods excluding Transportation 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 of durable goods excluding transportation were 236.90 USD billion in September 2026, compared to 229.17 in the previous month. This represents a gain of 3.38 percent.
Sample. There are 417 data points in the monthly time series presented in the graph above. The span of time covered by the series extends from January 1992 to September 2026.
History. Here's a peek at some summary statistics computed on the full sample: shipments reached their maximum of 239.00 billion US dollars in June 2026; they reached their minimum of 77.28 billion US dollars in January 1992; they had an average value of 148.60 billion US dollars.
Latest values
| Date | Value - US dollars (USD) million |
|---|---|
| 2026-07-31 | 220,399 |
| 2026-08-31 | 229,167 |
| 2026-09-30 | 236,903 |
Hint. An advantage of using FetchSeries is that we publish accurate metadata. Check it below to gain insights on the properties of the series that you use in your work.
Not for investment purposes. Data series and other information accessible on FetchSeries are not intended for investment purposes or as a basis for making financial decisions. Users should obtain expert advice and perform independent analysis before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Durable Goods excluding Transportation 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.