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Retail Sales YoY

United StatesConsumerMonthly%Medium
SummaryAbout This Indicator4Historical Data164Revision history5
Latest release · October 15, 2026 · 12:30 UTC
6.30%
Above forecast by 1.1
Last five prints
6.906.805.035.606.30
Forecast
5.20Actual is higher by 1.1
Previous · Revised from 6
5.60Actual is higher by

About This Indicator

4 questions

Retail Sales YoY is the % change in Advance Monthly Sales for Retail and Food Services versus the same month 1 year earlier. The Census Bureau compiles it through MARTS, the Advance Monthly Retail Trade Survey, an early cut of the larger survey since 1953. It covers retailers with paid staff in NAICS Sectors 44-45 plus food services and drinking places, in nominal dollars unadjusted for price changes.

It excludes most services, roughly two-thirds of consumption, not total spending. The Bureau of Economic Analysis uses it for GDP consumption estimates, and the Federal Reserve uses it to track trends.

The reference month is the calendar month just ended. Forms go out 5 working days before month end and are due 2 working days after. Follow-up starts on day 3 and collection closes by day 6. Release comes about 9 working days after it ends, at 8:30 morning Eastern Time.

Tables 1 to 3 cover levels in millions of dollars, adjusted and unadjusted, with monthly and yearly changes. They include sampling variability, a chart and the full text. Each release revises the prior month by 0.2% on average, benchmarks to annual totals and reads higher sales as stronger goods demand.

No fixed weights are published, so read each month's mix from Table 1 sales levels across these kinds of business.

  • Motor vehicle and parts dealers: captures new and used vehicle plus parts sales, about 20% of total, so swings dominate the headline.
  • Gasoline stations: captures fuel sales that move with pump prices, so reports also show totals excluding gasoline.
  • Nonstore retailers: captures e-commerce, online shopping, plus mail order sales, the structurally fastest growing part.
  • Food services and drinking places: captures restaurant and bar sales, the services slice separating total from retail trade alone.
  • Food and beverage stores: captures grocery plus staples sales, usually stable everyday demand.
  • General merchandise stores: captures department, warehouse club and supercenter sales, a core spending gauge.

The August 2024 release published September 17, 2024 reported $710.8 billion in sales on seasonally adjusted data. Sales were up 0.1% from July and up 2.1% from August 2023, and the monthly margin of ±0.5% included zero. Nonstore retailers rose 7.8% from a year earlier, almost 4 times the headline rate, while food services rose 2.7%.

The June to July gain was revised from 1.0% to 1.1%. June to August sales were up 2.3% on a year earlier, all nominal before price adjustment.

  1. Matched ratio: sum weighted sales from respondents in both month t and month t-1 per industry, then divide current by prior for ratio R.
  2. Advance level: multiply R by the prior month preliminary total from the Monthly Retail Trade Survey, filling missing values for only a few large nonrespondents.
  3. Totals and benchmarking: sum detailed industries for broader totals, then align monthly estimates to annual survey totals. No births are added, and the sample is reselected about every 2.5 to 3 years.
  4. Seasonal adjustment and % change: adjust for seasonal, holiday and trading day effects with X-13ARIMA-SEATS, a Census seasonal tool, run each month on all data. Compute YoY as 100 times (A(t) minus A(t-12)) divided by A(t-12), where A means seasonally adjusted level.
  5. Significance: every change carries a 90% margin of ±1.753 times sampling error, and a change is not significant when its interval includes zero.
  6. Illustrative example: illustrative matched furniture stores report $10.00B for July and $10.20B for August, so R equals 1.020. Times a $10.50B prior total gives $10.71B, and versus $10.30B a year earlier YoY equals +4.0% with an interval of 2.4% to 5.6%. The interval excludes zero, so it counts as significant.

Key point

YoY gains are nominal, not real volume growth, adjusted for seasonal effects but not price changes, covering goods retail plus food services only. Deflate with CPI, a consumer price index, before judging volume.

Historical Data

View data as table
DateActualForecastSurprise
Oct 15, 20266.305.20+1.10
Sep 16, 20265.604.70+0.90
Aug 14, 20265.036.00-0.97
Jul 16, 20266.806.70+0.10
Jun 17, 20266.904.00+2.90
May 14, 20264.803.30+1.50
Apr 21, 20264.202.40+1.80
Apr 1, 20263.702.90+0.80
Mar 6, 20263.202.00+1.20
Feb 10, 20262.402.90-0.50
Jan 14, 20263.303.00+0.30
Dec 16, 20253.502.70+0.80
Nov 25, 20254.303.90+0.40
Sep 16, 20255.003.20+1.80
Aug 15, 20253.903.50+0.40
Jul 17, 20253.903.60+0.30
Jun 17, 20253.304.90-1.60
May 15, 20255.201.10+4.10
Apr 16, 20254.602.60+2.00
Mar 17, 20253.103.50-0.40
Feb 14, 20254.203.70+0.50
Jan 16, 20253.904.00-0.10
Dec 17, 20243.803.800.00
Nov 15, 20242.801.90+0.90
Oct 17, 20241.701.60+0.10
Sep 17, 20242.102.20-0.10
Aug 15, 20242.701.80+0.90
Jul 16, 20242.302.10+0.20
Jun 18, 20242.302.80-0.50
May 15, 20243.003.80-0.80
Apr 15, 20244.002.50+1.50
Mar 14, 20241.501.00+0.50
Feb 15, 20240.605.80-5.20
Jan 17, 20245.604.00+1.60
Dec 14, 20234.102.10+2.00
Nov 15, 20232.502.10+0.40
Oct 17, 20233.801.50+2.30
Sep 14, 20232.502.90-0.40
Aug 15, 20233.201.50+1.70
Jul 18, 20231.491.60-0.11
Jun 15, 20231.601.00+0.60
May 16, 20231.601.40+0.20
Apr 14, 20232.903.20-0.30
Mar 15, 20235.404.30+1.10
Feb 15, 20236.404.50+1.90
Jan 18, 20236.005.00+1.00
Dec 15, 20226.507.90-1.40
Nov 16, 20228.306.90+1.40
Oct 14, 20228.208.00+0.20
Sep 15, 20229.109.00+0.10

Revision history

5 of 5 prints were revised after release
DateFirst printCurrentRevision
Sep 16, 202665.60-0.40
Aug 14, 202655.03+0.03
Jul 16, 20266.706.80+0.10
May 14, 20264.904.80-0.10
Apr 21, 202644.20+0.20

Indicator questions

Source · U.S. Census BureauView Source
0.7

Statistics

164 readings
  • Mean3.68
  • Std Deviation1.44
  • TrendRising
  • Year-over-year change+1.30
  • Forecast Accuracy67.5%
Latest reading against its usual range (mean ± one standard deviation)
6.302.243.685.12

The latest reading is 1.8 standard deviations above the mean.