Nondefense Capital Goods Excluding Aircraft 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 nondefense capital goods excluding aircraft were 73.19 billion US dollars in November 2025, versus 79.23 in October. This marks a reduction of 7.62 percent.
Sample. In the monthly series presented in the plot, there are a total of 407 data points. The series covers the time range stretching from January 1992 to November 2025.
History. Here's a glimpse of a few descriptive statistics we calculated on the whole sample: shipments recorded a maximum of 82.55 billion US dollars in June 2023; they registered a minimum of 30.61 in January 1992; they averaged 59.59.
Latest values
| Date | Value - US dollars (USD) million |
|---|---|
| 2025-09-30 | 81756.0 |
| 2025-10-31 | 79234.0 |
| 2025-11-30 | 73190.0 |
Tip. One of the pluses of using FetchSeries is that we give you complete metadata. Find it below to gain insights on the properties of the series that you use in your research.
Not for investment purposes. Data series and other information collected and published on this web site are not intended for investment purposes or other financial decisions. Users should obtain expert advice and perform their own independent due diligence before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Nondefense Capital Goods Excluding Aircraft 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.