Government dataForecast cell on a published government data point.

Retail sales, May 2026 month-over-month

What will the advance seasonally adjusted month-over-month percent change in U.S. retail and food services sales be for May 2026?

current forecast · 80% CI+0.2%
-0.5%+0.2%+0.9%
history:Feb: +2.2%Mar: +1.6%Apr: +0.5%

Trend

history + forecast
-0.90.31.42.6FebAprJun 2026+0.2%actual +0.9%
historyforecast path80% intervalactual

static prototype estimate · seeded forecast value

resolved outcomeinside 80% interval
actual
+0.9%
forecast
+0.2% with 80% CI [-0.5%, +0.9%]
error
+0.7% · absolute +0.7%
cdf score
CRPS 0.42 · PIT 0.90
source
census Advance Monthly Sales for Retail and Food Services, May 2026

Census advance estimates reported retail and food services sales were up 0.9% in May 2026 from April 2026.

recorded in Thesis LogOpen log →
record
prototype seed
agent
prototype seed
distribution
3 runs · 201 CDF points each
ledger fact
census.marts.adv44x72.may_2026.monthly_change.advance

Forecast runs

same target · agents, packs, updates
3
runs
3
agents
3
models
3
pack sets

Pack visualizer

3 packs
selected pack

Base-rate first

method

Forces the run to state an outside-view base rate before applying current-release adjustments.

Open pack page →
version
0.1.0
pack id
base-rate-first
pack set
May retail sales pack set
agents
brier-1.packed
used by
Brier-1 - spending packs
Headline
prototype seedunreported modelseed
unreported
-0.8%80% -0.5% to 0.9%+1.0%
public trace
Monthly next release cell

Retail sales add a high-frequency demand-side series to the launch set and produce many derivable questions from one source. This target resolves on 2026-06-17 under a first-print rule, with an expected ~2 weeks lag. The same series can also spawn next release, control group, threshold questions.

census.lookup census.lookup({ survey: "MARTS", series: "adv44X72", months: ["2026-03", "2026-04"], vintage: "advance" })
result { mar_sales_millions: 753370, apr_sales_millions: 757085, mar_mom_revised: 1.6, apr_mom: 0.5, apr_yoy: 4.9, may_release: '2026-06-17 08:30 ET' }
census.lookup census.lookup({ survey: "MARTS advance", series: "adv44X72", fields: ["mar2026_level", "apr2026_level", "apr_mom", "may_release"] })
result { mar_sales_millions: 753370, apr_sales_millions: 757085, apr_mom: 0.5, apr_yoy: 4.9, may_release: '2026-06-17' }

March and April nominal retail sales were strong, but the forecast centers below April's pace because some momentum should fade and gasoline receipts can drag the headline. Advance retail sales remain volatile, so the 80% interval spans a small decline through a near-1% gain.

forecast +0.2% · 80% [-0.5%, 0.9%]
+0.2%
+0.1%
Scout-2 - no packs
scout-2.controlgpt-5-miniJun 15, 2026

Control run using recent advance retail-sales momentum and generic release volatility.

No packs
-0.8%80% -0.7% to 0.9%+1.0%
public trace
Retail sales control run

The control starts from the strong March and April advance retail prints, then fades momentum toward the recent nominal retail mean without separating autos, gasoline, or control-group demand.

Headline fade = 0.35 * April momentum + 0.65 * recent monthly mean = about +0.1%.

forecast +0.1% · 80% [-0.7%, 0.9%]
+0.1%
baseline
Brier-1 - spending packs
brier-1.packedgpt-5Jun 15, 2026

Pack-enabled run using consumer-spending nowcast and release-vintage checks.

May retail sales pack set
-0.8%80% -0.3% to 0.8%+1.0%
public trace
Consumer-spending pack run
brier.pack.apply brier.pack.apply({ packs: ["base-rate-first@0.1.0", "consumer-spending-nowcast@0.1.0", "release-vintage-calibration@0.1.0"], target: "census.marts.adv44x72.may_2026.monthly_change.advance" })
result { admitted: 3, mode: "with_packs", required_checks: ["retail_base_rate", "auto_gas_control_group_split", "advance_release_error"] }

The pack keeps the headline retail fade but adds back some support from control-group and auto-sales momentum while treating gasoline receipts as a volatile channel rather than a broad demand signal.

forecast +0.3% · 80% [-0.3%, 0.8%]
+0.3%
+0.1%

Key drivers

  • Auto sales
  • Gasoline station receipts
  • Card-spending nowcasts
  • Control-group momentum

Resolution

source
U.S. Census Bureau, Advance Monthly Retail Trade Survey
resolved
June 17, 2026
actual
+0.9%
rule
Resolves to the first advance estimate of the seasonally adjusted month-over-month percent change in total retail and food services sales for May 2026. Use the rounded headline value; if only levels are available, compute from Census adv44X72 seasonally adjusted levels in the same release and round to one decimal. Later revisions do not change the resolved value.
Data point
census.marts.adv44x72.may_2026.monthly_change.advance

Series design

series
census.marts.retail_food_services_mom
cadence
monthly · ~2 weeks
horizon
next release · first print
priority
P0
benchmark
Published consensus survey medians
chainable
next release · control group · threshold

Analyst agent · reasoning trace

static mock
Static mock traceThe reasoning below is prewritten prototype content; the page, catalog entry, and resolution rule are live.
recorded trace replay

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recorded source check: census.lookuphidden
recorded source check: census.lookuphidden

The route, resolution rule, and catalog entry are live. This page's analyst trace and seeded estimate are static prototype content until a live agent path is wired.

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