How the U.S. Census Bureau's Annual Survey Anchors Monthly Data Levels: The Underlying Mechanism for Retail Sales Revisions
The St. Louis Fed FRED blog explains how the U.S. Census Bureau's Annual Integrated Economic Survey (AIES) serves as a benchmark to recalibrate the levels of high-frequency data, such as the monthly retail trade survey, to annual totals. In 2024, both measures reported total retail sales of approximately $7.107 trillion, with differences limited to the millions of dollars. Since 2023, the AIES has consolidated seven separate annual business surveys into one, covering approximately 359,000 companies.
When investors see retail sales data released each month, they rarely notice that the same month's figures are quietly revised in subsequent months. The St. Louis Fed FRED blog recently explained the mechanism behind these revisions: the U.S. Census Bureau's Annual Integrated Economic Survey (AIES) acts as a benchmark, recalibrating the levels of monthly surveys.
Monthly and quarterly surveys are designed for speed. They use smaller samples and are adept at measuring changes from one period to the next, but their estimates of absolute levels have limited precision. The AIES uses a much larger sample and more detailed information to recalibrate the levels in the monthly series after annual results are published. That is, when new annual data arrives, the faster series are revised to match the annual benchmark.
The blog provides an intuitive comparison using retail trade sales data: adding up the 12 monthly values for any year yields a total that differs from the AIES annual total by only a few million dollars. Given that annual values are in the trillions, this difference is negligible. 2024 was the latest complete annual data available at the time of writing, with both coming to approximately $7.107 trillion.
The AIES also updates the Census Business Register—the master list from which other economic surveys draw their samples. This means the annual benchmark not only revises already-published data but also affects the sample frames for future surveys.