Computers and Electronic Products 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 computers and electronic products were 32.02 billion US dollars in July 2026, compared to 37.69 in the previous month. This marks a decrease of 15.04 percent.
Sample. There are 415 data points overall in the monthly time series presented in the chart above. The time period covered by the series is from January 1992 to July 2026.
History. Here are some descriptive statistics calculated on the whole sample: shipments had a mean value of 29.77 billion US dollars; they reached a minimum of 19.17 in January 1992; they reached their maximum of 52.91 in December 2000.
Latest values
| Date | Value - US dollars (USD) million |
|---|---|
| 2026-05-31 | 31659.0 |
| 2026-06-30 | 37685.0 |
| 2026-07-31 | 32021.0 |
Suggestion. To simplify research, we group indicators into data sets and worksheets. Scrolling downwards, you will discover how we structured further information linked to the statistics found here.
Not for investment purposes. Financial data found on this web site 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 pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Computers and Electronic Products 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.