United States

Retail sales

Total receipts of retail and food-services establishments.

Frequencyannual · +2Transformlevel

Source: CENSUS · acs5:B24124_319E

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LatestN/A
YoYN/A
10Y AvgN/A
Latest observationN/A
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Catalog entry only

This provider series is indexed, but Macro by Mark has not loaded chartable observations for this country, frequency, and unit yet.

Source evidence

Tier 2 - high value
Source
U.S. Census Bureau
Native key
acs5:B24124_319E
Freshness
Seeded preview
History
Current only
Reuse
Public domain

Research notes

72 · Acceptable
Comparability
2 notes
Quality
2/6 strong
Citation
Retrieved Jun 19, 2026

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Series details, provenance, and revision toolsMetadata, release notes, revision history, and related series.

Series details

CategoryConsumer
FrequencyAnnual
Unitcurrency
Transformslevel, yoy, index 100
About this series

Total receipts of retail and food-services establishments.

About this indicator

About

Retail sales is the dollar value of merchandise sold by U.S. retail and food-service businesses, published monthly by the Census Bureau as the Monthly Retail Trade Survey. The advance estimate appears roughly two weeks after the reference month ends, with revised figures arriving the following month. The survey covers about 5,500 retail businesses, sampled to represent the universe of about 3 million retailers nationwide.

Why it matters

Consumer spending is about 70% of U.S. GDP, and retail sales is the highest-frequency look at it. The headline number drives the consumption component of nowcasting models like the Atlanta Fed's GDPNow. A surprise in the control group (retail sales excluding autos, gas, food services, and building materials) is what most economists actually watch, because it maps directly into the personal consumption expenditures category of national accounts.

How it's computed

Census collects sales totals from sampled retailers, then weights and seasonally adjusts the data. The control group strips out four volatile categories that don't map cleanly into the GDP consumption series. The series is reported in nominal dollars; analysts who want real retail sales divide by the corresponding CPI component themselves, since BEA doesn't publish a deflated headline.

Pitfalls

The advance estimate is the most-watched release but also the most revised. Holiday timing distortions (the position of Easter, the number of weekends in a month) regularly produce headline noise that the seasonal adjustment can't fully handle. E-commerce reporting was historically late and incomplete; Census now reports it separately, but cross-channel substitution still shows up in volatility. Reading the change in the control group rather than the headline avoids most of the false-signal risk during big-box sales cycles.