Durable Goods excluding Transportation 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 of durable goods excluding transportation were 596.43 billion US dollars in July 2026, compared to 592.50 in the previous month. This represents an increase of 0.66 percent.
Sample. There are 415 data points in the monthly time series displayed in the graph above. The period covered by the series stretches from January 1992 to July 2026.
History. Take a look at a few descriptive statistics we computed on the whole sample: unfilled orders were equal on average to 337.84 billion US dollars; they recorded a maximum of 596.43 in July 2026; they reached a minimum of 186.22 in October 1992.
Latest values
| Date | Value - US dollars (USD) million |
|---|---|
| 2026-05-31 | 588837.0 |
| 2026-06-30 | 592505.0 |
| 2026-07-31 | 596433.0 |
Suggestion. One of the advantages of using our web site is that we publish rich metadata. Check it below to better understand the properties of the series that you use in your research.
Not for investment purposes. Data series and other information found on FetchSeries are not intended for investment purposes or as a basis for making financial decisions. Users should seek expert advice and do independent analysis before making any financial commitments.
Series Metadata
| Field | Value |
|---|---|
| Description | Durable Goods excluding Transportation 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.