Communications Equipment Unfilled Orders (advance estimate; 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. In the United States, unfilled orders of communications equipment were 26.16 USD billion (seasonally adjusted) in November 2025, compared to 26.38 in October. This marks a reduction of 0.83 percent.
Sample. There are 407 data points overall in the monthly time series presented in the plot above. The time range covered by the series is from January 1992 to November 2025.
History. Here's a peek at a few statistics we calculated on the entire sample: unfilled orders had a mean of 26.84 USD billion; they recorded a minimum of 11.98 in January 1992; they recorded a maximum of 51.79 in November 2000.
Latest values
| Date | Value - US dollars (USD) million |
|---|---|
| 2025-09-30 | 26534.0 |
| 2025-10-31 | 26380.0 |
| 2025-11-30 | 26162.0 |
Hint. To simplify complex analyses, we organize indicators into worksheets and datasets. By scrolling down, you will find how we arranged further information linked to the statistics published here.
Not for investment purposes. Data series and other information hosted on FetchSeries are not not supposed to be used for investment purposes or as a basis for making financial decisions. Users should ask for expert advice and perform their own independent due diligence before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Communications Equipment Unfilled Orders |
| Country | United States |
| Economic concept | Stock |
| Data type | Nominal aggregate |
| Deflation method | Current prices |
| Seasonally adjusted | Yes |
| 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.