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FOR RELEASE AT 8:30 AM EDT, TUESDAY, JULY 29, 2025

MONTHLY ADVANCE ECONOMIC INDICATORS REPORT, JUNE 2025
Release Number: CB25-117
July 29, 2025 — The U.S. Census Bureau announced the following international trade, wholesale inventories, and retail
inventories advance statistics for June 2025:
ADVANCE
INTERNATIONAL
TRADE: GOODS DEFICIT
JUNE 2025

$86.0 Billion

MAY 2025

$96.4 Billion

-10.8%°

ADVANCE
WHOLESALE
INVENTORIES
$907.7 Billion

+0.2%*

$906.0 Billion (R)

ADVANCE
RETAIL
INVENTORIES
$808.7 Billion

+0.3%

$806.7 Billion (R)

Next release: August 29, 2025.
* The 90 percent confidence interval includes zero. There is insufficient evidence to conclude that the actual change is different from zero.
° Statistical significance is not applicable or not measurable.
Data adjusted for seasonality but not price changes.
Source: U.S. Census Bureau; Advance Economic Indicators Report, July 29, 2025.

Advance International Trade in Goods
The international trade deficit was $86.0 billion in June, down $10.4 billion from $96.4 billion in May. Exports of
goods for June were $178.2 billion, $1.1 billion less than May exports. Imports of goods for June were $264.2 billion,
$11.5 billion less than May imports.
Advance Wholesale Inventories
Wholesale inventories for June, adjusted for seasonal variations and trading day differences, but not for price
changes, were estimated at an end-of-month level of $907.7 billion, up 0.2 percent (±0.2 percent)* from May 2025,
and were up 1.5 percent (±0.5 percent) from June 2024. The April 2025 to May 2025 percentage change was
unrevised from the preliminary estimate of down 0.3 percent (±0.2 percent).
Advance Retail Inventories
Retail inventories for June, adjusted for seasonal variations and trading day differences, but not for price changes,
were estimated at an end-of-month level of $808.7 billion, up 0.3 percent (±0.2 percent) from May 2025, and were
up 2.5 percent (±0.5 percent) from June 2024. The April 2025 to May 2025 percentage change was unrevised from
the preliminary estimate of up 0.3 percent (±0.2 percent).
The July 2025 Advance report is scheduled for release on August 29, 2025. View the full schedule in the Economic
Briefing Room: . The full text and tables of this release can be found at
.

Data Inquiries
International Trade Indicator Branch: 301-763-2311 eid.international.trade.data@census.gov
Retail Indicator Branch: 301-763-2713 eid.retail.indicator.branch@census.gov
Wholesale Indicator Branch: 301-763-6856 eid.wholesale.indicator.branch@census.gov

Media Inquiries
Public Information Office
301-763-3030
pio@census.gov

EXPLANATORY NOTES
International Trade in Goods
Goods (Census Basis)
Data for goods on a Census basis are compiled from the documents collected by the U.S. Customs and Border
Protection and reflect the movement of goods between foreign countries and the 50 states, the District of Columbia,
Puerto Rico, the U.S. Virgin Islands, and U.S. Foreign Trade Zones. They include government and non-government
shipments of goods and exclude shipments between the United States and its territories and possessions;
transactions with U.S. military, diplomatic, and consular installations abroad; U.S. goods returned to the United
States by its Armed Forces; personal and household effects of travelers; and in-transit shipments. Data for U.S.
exports to Canada are derived from import data compiled by Canada. For more information on the data exchange
and substitution please refer to the FT-900. The General Imports value reflects the total arrival of merchandise from
foreign countries that immediately enters consumption channels, warehouses, or Foreign Trade Zones.
For imports, the value reported is the U.S. Customs and Border Protection appraised value of merchandise—
generally, the price paid for merchandise for export to the United States. Import duties, freight, insurance, and other
charges incurred in bringing merchandise to the United States are excluded.
Exports are valued at the free alongside ship value of merchandise at the U.S. port of export, based on the
transaction price including inland freight, insurance, and other charges incurred in placing the merchandise
alongside the carrier at the U.S. port of exportation.
Additional information on coverage and valuation are available in the Guide to Foreign Trade Statistics,
and , respectively.

Media Inquiries
Public Information Office
301-763-3030
pio@census.gov

Nonsampling Errors
Goods data are a complete enumeration of documents collected by the U.S. Customs and Border Protection and are
not subject to sampling errors. This report presents current month statistics which reflect nearly complete coverage.
Current month statistics reflecting complete coverage will be published in the upcoming U.S. International Trade in
Goods and Services report (FT-900). Statistics for other months shown reflect complete coverage and appear in the
most recently published FT-900. Quality assurance procedures are performed at every stage of collection,
processing, and tabulation. However, the data are still subject to several types of nonsampling errors. Information
on nonsampling errors and other quality issues are available in the Guide to Foreign Trade Statistics,
.
The U.S. Census Bureau recommends that data users incorporate this information into their analyses, as
nonsampling errors could impact the conclusion drawn from the results. For a detailed discussion of errors affecting
the goods data, see U.S. Merchandise Trade Statistics: A Quality Profile (October 2014), available at
or from the Economic Indicators Division, U.S.
Census Bureau.
Adjustments for Seasonal and Trading-Day Variations
Goods data are presented on a seasonally adjusted and not seasonally adjusted basis. Seasonally adjusted (and/or
trading day adjusted data) are produced using X-13ARIMA-SEATS software to develop monthly adjustment factors.
Goods data are initially classified under the Harmonized Commodity Description and Coding System (Harmonized
System), which is an internationally accepted standard for the commodity classification of traded goods. Combining
trade into approximately 140 export and 140 import end-use categories makes it possible to examine goods
according to their principal uses. These categories are used as the basis for computing the seasonal and trading-day
adjusted data. These adjusted data are then summed to the six end-use aggregates for publication.
For more information, visit the seasonal adjustment section of the Guide to Foreign Trade here:
.
Retail and Wholesale Inventories
National estimates of end-of-month inventories are based on data from the Monthly Retail Trade Survey and the
Monthly Wholesale Trade Survey. Additional information for each survey can be found at
and . The advance estimates contained in this report are not incorporated into the
full MRTS and MWTS time series.
The MRTS and MWTS samples selected to measure inventories consist of a stratified simple random sampling
method of approximately 11,000 retail firms and 4,200 wholesale firms located in the United States. The retail and
wholesale samples include firms of all sizes and are updated on a quarterly basis to account for new retail and
wholesale firms, deaths, and other changes to the universe.
Data for nonresponding firms are imputed based on data for similar-sized firms classified in the same kind of
business. For surveyed Retail companies, approximately 40.2 percent provided data for this reporting period
Data Inquiries
International Trade Indicator Branch: 301-763-2311 eid.international.trade.data@census.gov
Retail Indicator Branch: 301-763-2713 eid.retail.indicator.branch@census.gov
Wholesale Indicator Branch: 301-763-6856 eid.wholesale.indicator.branch@census.gov

Media Inquiries
Public Information Office
301-763-3030
pio@census.gov

resulting in a total quantity response rate of 49.4 percent. For surveyed Wholesale companies, approximately 51.8
percent provided data for this reporting period resulting in a total quantity response rate of 56.6 percent.
MRTS estimates cover companies with one or more establishments that sell merchandise and related services to
final consumers. The Census Bureau has reviewed this data product to ensure appropriate access, use, and
disclosure avoidance protection of the confidential source data (Project No. P-7504206, Disclosure Review Board
(DRB) approval number: CBDRB-FY25-0002).
MWTS estimates cover wholesale merchants who sell goods on their own account and include such businesses as
wholesale merchants or jobbers, industrial distributors, exporters, and importers. Sales offices and branches
maintained by manufacturing, refining, or mining firms for the purpose of marketing their products are not covered
in this report. Also excluded is NAICS Industry Group 4251: Wholesale Electronic Markets and Agents and Brokers.
The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance
protection of the confidential source data (Project No. 7503922, Disclosure Review Board (DRB) approval number:
CBDRB-FY25-0004).
Reliability of Estimates
Because the retail and wholesale estimates are based on a sample survey, they contain sampling error and
nonsampling error.
Sampling error is the difference between the estimate and the result that would be obtained from a complete
enumeration of the sampling frame conducted under the same survey conditions. This error occurs because only a
subset of the entire sampling frame is measured in a sample survey. Standard errors and coefficients of variation are
estimated measures of sampling variation.
The margin of sampling error gives a range about the estimate which is a 90 percent confidence interval. If, for
example, the percentage change estimate is +1.2 percent and its estimated standard error is 0.9 percent, then the
margin of sampling error is ±1.753 x 0.9 percent or ±1.6 percent, and the 90 percent confidence interval is −0.4
percent to +2.8 percent. If the interval contains 0, then one does not have sufficient evidence to conclude at the 90
percent confidence level that the change is different from zero and therefore the change is not statistically
significant. Estimated changes are statistically significant unless otherwise noted. For a monthly total, the estimated
coefficient of variation is given. The resulting confidence interval is the estimated value ±1.753 x CV x (the estimated
monthly total).
Nonsampling error encompasses all other factors that contribute to the total error of a sample survey estimate. This
type of error can occur because of nonresponse, insufficient coverage of the universe of businesses, mistakes in the
recording and coding of data, and other errors of collection, response, coverage, or processing. Although
nonsampling error is not measured directly, the Census Bureau employs quality control procedures throughout the
process to minimize this type of error.

Media Inquiries
Public Information Office
301-763-3030
pio@census.gov

The U.S. Census Bureau recommends that individuals using retail and wholesale estimates incorporate this
information into their analyses, as sampling error and nonsampling error could affect the conclusions drawn from
the estimates.
Adjustments for Seasonal Variations
Concurrent seasonal adjustment is used to adjust the retail and wholesale inventories estimates for seasonal
variations. Concurrent seasonal adjustment uses all available unadjusted estimates as input to the X-13ARIMASEATS program. The factors derived from the program are applied to the retail and wholesale estimates of current
and previous month inventories and for inventories estimates a year ago as well.
Statement Regarding Natural Disasters: For information on the impact of natural disasters, including hurricanes, on
the compilation of this report, please see and .
Data Availability
The Advance Economic Indicators Report is available at . For
archived versions of the Advance Economic Indicators Report please visit the Historical Data tab at the following:
.
RESOURCES
API
The Census Bureau’s application programming interface lets developers create custom apps to reach new users and
makes key demographic, socio-economic and housing statistics more accessible than ever before.

###
* The 90 percent confidence interval includes zero. There is insufficient statistical evidence to conclude that the actual change is different from zero.
° Statistical significance is not applicable or not measurable for this survey.
(R) Revised from the last published Monthly Retail Trade Report and Monthly Wholesale Trade: Sales and Inventories Report

Media Inquiries
Public Information Office
301-763-3030
pio@census.gov

-1-

Table 1. U.S. International Trade in Goods by Principal End-Use Category (1)
In millions of dollars. Details may not equal totals due to seasonal adjustment and rounding. (X) - Not applicable

Goods - Census Basis (2)
Monthly
June
2025
(a)

May
2025

April
2025

June
2024

June 2025/
May 2025

Percent change
May 2025/
April 2025

June 2025/
June 2024

Seasonally Adjusted
Balance
Exports
Foods, Feeds, & Beverages
Industrial Supplies (3)
Capital Goods
Automotive Vehicles, etc.
Consumer Goods
Other Goods
Imports
Foods, Feeds, & Beverages
Industrial Supplies (3)
Capital Goods
Automotive Vehicles, etc.
Consumer Goods
Other Goods

-85,988
178,163
13,704
59,955
60,115
12,724
22,781
8,885
264,150
18,140
48,292
91,467
35,966
57,737
12,549

-96,423
179,259
13,175
65,255
57,437
12,523
22,444
8,425
275,682
18,336
51,094
90,905
36,689
65,942
12,716

-85,898
190,082
13,513
75,290
59,300
12,085
20,988
8,908
275,981
18,488
52,008
90,597
33,253
69,909
11,727

-98,813
172,020
13,534
59,979
54,143
15,112
22,017
7,235
270,833
17,407
55,232
80,273
40,241
66,454
11,226

(X)
-0.6
4.0
-8.1
4.7
1.6
1.5
5.5
-4.2
-1.1
-5.5
0.6
-2.0
-12.4
-1.3

(X)
-5.7
-2.5
-13.3
-3.1
3.6
6.9
-5.4
-0.1
-0.8
-1.8
0.3
10.3
-5.7
8.4

(X)
3.6
1.3
0.0
11.0
-15.8
3.5
22.8
-2.5
4.2
-12.6
13.9
-10.6
-13.1
11.8

-86,824
179,922
12,258
60,323
61,597
12,876
23,994
8,874
266,746
18,322
49,846
94,138
35,578
56,241
12,621

-93,504
183,013
12,686
67,284
57,766
13,586
23,275
8,417
276,517
19,107
52,901
91,054
36,922
63,870
12,662

-86,422
189,711
13,200
75,762
58,895
12,390
20,644
8,821
276,133
19,214
53,571
89,384
34,157
67,604
12,205

-92,076
173,980
11,990
60,316
55,752
15,265
23,443
7,214
266,057
17,090
56,165
80,470
39,353
62,093
10,887

(X)
-1.7
-3.4
-10.3
6.6
-5.2
3.1
5.4
-3.5
-4.1
-5.8
3.4
-3.6
-11.9
-0.3

(X)
-3.5
-3.9
-11.2
-1.9
9.7
12.7
-4.6
0.1
-0.6
-1.3
1.9
8.1
-5.5
3.8

(X)
3.4
2.2
0.0
10.5
-15.7
2.4
23.0
0.3
7.2
-11.3
17.0
-9.6
-9.4
15.9

Not Seasonally Adjusted
Balance
Exports
Foods, Feeds, & Beverages
Industrial Supplies (3)
Capital Goods
Automotive Vehicles, etc.
Consumer Goods
Other Goods
Imports
Foods, Feeds, & Beverages
Industrial Supplies (3)
Capital Goods
Automotive Vehicles, etc.
Consumer Goods
Other Goods
(a) Advance statistics
(1) For a listing of the detail included in each end-use category, see .
(2) Data are presented on a Census basis. The information needed to convert to a balance of payment basis is not available.
(3) Includes petroleum and petroleum products.
NOTES:
* Current month statistics reflect nearly complete coverage; current month statistics reflecting complete coverage will be published in the upcoming U.S.
International Trade in Goods and Services report (FT-900). Statistics for other months shown reflect complete coverage and appear in the most recently
published FT-900.
* For information on data sources, nonsampling errors, and definitions, see the explanatory notes in this release or at
.
Source: U.S. Census Bureau; Advance Economic Indicators Report, July 29, 2025.

-2-

Table 2. Levels and Percent Changes for Inventories
Inventories estimates are shown in millions of dollars. Estimates are based on data from the Monthly Wholesale Trade Survey and the
Monthly Retail Trade Survey.

Inventories
Monthly
May
2025
(r)

June
2025
(a)

June
2024
(r)

Percent change
May 2025/
April 2025

June 2025/
May 2025

June 2025/
June 2024

Adjusted1
Merchant wholesale2 trade, total
Durable goods
Nondurable goods

907,676
568,867
338,809

906,010
568,183
337,827

894,292
567,757
326,535

0.2
0.1
0.3

-0.3
-0.7
0.6

1.5
0.2
3.8

808,740
551,867
256,873

806,655
552,101
254,554

788,990
529,531
259,459

0.3
0.0
0.9

0.3
0.1
0.7

2.5
4.2
-1.0

Merchant wholesale trade, total
Durable goods
Nondurable goods

900,921
572,675
328,246

903,177
570,880
332,297

889,729
571,644
318,085

-0.2
0.3
-1.2

-1.1
-0.7
-1.7

1.3
0.2
3.2

Retail3 trade, total
Total (excl. motor veh. & parts)
Motor vehicle & parts dealers

799,714
542,953
256,761

796,879
543,595
253,284

779,887
521,017
258,870

0.4
-0.1
1.4

-0.6
-0.8
-0.3

2.5
4.2
-0.8

Retail trade, total
Total (excl. motor veh. & parts)
Motor vehicle & parts dealers

Not Adjusted
2

(a) Advance estimate
(r) Revised estimate
See footnotes and notes at the end of Table 3.

Table 3. Estimated Measures of Sampling Variability
Estimates are shown as percents and are based on data from the Monthly Wholesale Trade Survey and the Monthly Retail Trade
Survey.

Inventories
Monthly
Coefficient of Variation
June
May
June
2025
2025
2024
(a)
(r)
(r)
2

Standard Error of
Percent Change
May 2025/
April 2025

June 2025/
May 2025

June 2025/
June 2024

Merchant wholesale trade, total
Durable goods
Nondurable goods

1.9
2.7
1.5

1.9
2.8
1.8

0.1
0.1
0.2

0.1
0.1
0.3

0.3
0.6
0.6

Retail trade, total
Total (excl. motor veh. & parts)
Motor vehicle & parts dealers

1.2
1.6
1.6

1.2
1.6
1.7

1.0
1.3
1.5

0.1
0.1
0.2

0.3
0.4
0.8

(a) Advance estimate
(r) Revised estimate
Z Estimate rounds to zero
(1) Estimates are concurrently adjusted for seasonal variation and trading day differences, but not for price changes. Concurrent seasonal adjustment uses all
available not adjusted estimates as input to the X-13ARIMA-SEATS program. The factors derived from the program are used in calculating all seasonally adjusted
estimates shown in this table.
(2) The 2017 North American Industry Classification System (NAICS) defines merchant wholesalers as including manufacturers’ sales
branches and offices. However, the estimates included in this release exclude manufacturers’ sales branches and offices. Note that
this is not a change in coverage from prior releases and is consistent with the description used in the Monthly Wholesale Trade Survey
data products.
(3) Retail Trade estimates include data only for businesses with paid employees. Prior to the benchmark report released in April 2025, the monthly retail
estimates that were released in the Advance Economic Indicators Report estimates included nonemployers.
NOTES:
Estimated measures of sampling variability are based on estimates not adjusted for seasonal variation. Additional information on confidentiality protection,
sampling error, nonsampling error, sample design, and definitions may be found at
for wholesale and at
for retail.

Source: U.S. Census Bureau; Advance Economic Indicators Report, July 29, 2025.

FOR RELEASE AT 8:30 AM EDT, THURSDAY, JULY 17, 2025

ADVANCE MONTHLY SALES FOR RETAIL AND FOOD SERVICES, JUNE 2025
Release Number: CB25-106
July 17, 2025 — The U.S. Census Bureau announced the following advance estimates of U.S. retail and
food services sales for June 2025:
Percent Change in Retail and Food Services Sales from
Previous Month

ADVANCE MONTHLY SALES

Data adjusted for seasonal variation and holiday and trading-day differences but not for
price changes.

June 2025

$720.1 billion

+0.6%

May 2025
(revised)

$715.5 billion

-0.9%

Next release: August 15, 2025
* The 90 percent confidence interval includes zero. There is insufficient statistical
evidence to conclude that the actual change is different from zero.
Data adjusted for seasonal variation and holiday and trading-day differences but
not for price changes. Source: U.S. Census Bureau, Advanced Monthly Retail
Trade Survey, July 17, 2025

4
3
2
1
0
-1
-2
-3
-4

April
Total

May
Ex Auto

Auto

June
Gen Mer

Source: U.S. Census Bureau, Advanced Monthly Retail Trade Survey,
July 17, 2025

Advance Estimates of U.S. Retail and Food Services
Advance estimates of U.S. retail and food services sales for June 2025, adjusted for seasonal variation and
holiday and trading-day differences, but not for price changes, were $720.1 billion, up 0.6 percent (±0.5
percent) from the previous month, and up 3.9 percent (±0.5 percent) from June 2024. Total sales for the
April 2025 through June 2025 period were up 4.1 percent (±0.4 percent) from the same period a year ago.
The April 2025 to May 2025 percent change was unrevised from down 0.9 percent (±0.2 percent).
Retail trade sales were up 0.6 percent (±0.5 percent) from May 2025, and up 3.5 percent (±0.5 percent)
from last year. Nonstore retailers were up 4.5 percent (±1.4 percent) from last year, while food service and
drinking places were up 6.6 percent (±1.8 percent) from June 2024.
General Information
The July 2025 Advance Monthly Retail report is scheduled for release on August 15, 2025 at 8:30 a.m. EDT.
View the full schedule in the Economic Briefing Room: .
The full text and tables of this release can be found at .

Data Inquiries
Economic Indicators Division, Retail Indicator Branch
301-763-2713
eid.retail.indicator.branch@census.gov

Media Inquiries
Public Information Office
301-763-3030
pio@census.gov

EXPLANATORY NOTES
The advance estimates are based on a subsample of the Census Bureau’s full retail and food services
sample. A stratified random sampling method is used to select approximately 4,800 retail and food
services firms whose sales are then weighted and benchmarked to represent the complete universe of
over three million retail and food services firms. For more information on how data is collected for the
Advance Monthly Retail Trade Survey, see our methodology page at:
.
Survey Description
The U.S. Census Bureau conducts the Advance Monthly Retail Trade and Food Services Survey to provide
an early estimate of monthly sales by kind of business for retail and food service firms located in the
United States. Each month, questionnaires are mailed to a probability sample of approximately 4,800
employer firms selected from the larger Monthly Retail Trade Survey. Advance sales estimates are
computed using a link relative estimator. For each detailed industry, we compute a ratio of current-toprevious month weighted sales using data from units for which we have obtained usable responses for
both the current and previous month. For each detailed industry, the advance total sales estimates for the
current month is computed by multiplying this ratio by the preliminary sales estimate for the previous
month (derived from the larger MRTS) at the appropriate industry level. Total estimates for broader
industries are computed as the sum of the detailed industry estimates. The link relative estimate is used
because imputation is not performed for most nonrespondents in MARTS. For a limited number of
nonresponding companies that have influential effects on the estimates, sales may be estimated based on
historical performance of that company. The monthly estimates are benchmarked to the annual survey
estimates from the Annual Retail Trade Survey once available. The estimates are adjusted for seasonal
variation and holiday and trading day differences. Additional information on MARTS and MRTS can be
found on the Census Bureau website at: .
The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure
avoidance protection of the confidential source data (Project No. P-7504206, Disclosure Review Board
(DRB) approval number: CBDRB-FY25-0002).
Reliability of Estimates
Because the estimates presented in this report are based on a sample survey, they contain sampling error
and nonsampling error.
Sampling error is the difference between the estimate and the result that would be obtained from a
complete enumeration of the sampling frame conducted under the same survey conditions. This error
Data Inquiries
Economic Indicators Division, Retail Indicator Branch
301-763-2713
eid.retail.indicator.branch@census.gov

Media Inquiries
Public Information Office
301-763-3030
pio@census.gov

occurs because only a subset of the entire sampling frame is measured in a sample survey. Standard errors
and coefficients of variation (CV), as given in Table 3 of this report, are estimated measures of sampling
variation.
The margin of sampling error, as used on page 1, gives a range about the estimate which is a 90 percent
confidence interval. If, for example, the percent change estimate is +1.2 percent and its estimated
standard error is 0.9 percent, then the margin of sampling error is ±1.753 x 0.9 percent or ±1.6 percent,
and the 90 percent confidence interval is –0.4 percent to +2.8 percent. If the interval contains 0, then one
does not have sufficient evidence to conclude at the 90 percent confidence level that the change is
different from zero and therefore the change is not statistically significant. Estimated changes shown in
the text are statistically significant unless otherwise noted. For a monthly total, the median estimated
coefficient of variation is given. The resulting confidence interval is the estimated value ±1.753 x CV x (the
estimated monthly total). The Census Bureau recommends that individuals using estimates in this report
incorporate this information into their analyses, as sampling error could affect the conclusions drawn from
the estimates.
Nonsampling error encompasses all other factors that contribute to the total error of a sample survey
estimate. This type of error can occur because of nonresponse, insufficient coverage of the universe of
retail businesses, mistakes in the recording and coding of data, and other errors of collection, response,
coverage, or processing. Although nonsampling error is not measured directly, the Census Bureau employs
quality control procedures throughout the process to minimize this type of error.
Weather Information
For information on the impact of weather events like Hurricanes Helene and Milton on the compilation of
this report, please see the Frequently Asked Questions (FAQs) on our website at:

RESOURCES
API
The Census Bureau’s application programming interface lets developers create custom apps to reach new
users and makes key demographic, socio-economic and housing statistics more accessible than ever
before.

Data Inquiries
Economic Indicators Division, Retail Indicator Branch
301-763-2713
eid.retail.indicator.branch@census.gov

Media Inquiries
Public Information Office
301-763-3030
pio@census.gov

FRED Mobile App
Receive the latest updates on the nation’s key economic indicators by downloading
the FRED App for both Apple and
Android devices. FRED, the signature database of the Federal Reserve Bank of St.
Louis, now incorporates the Census Bureau’s 13 economic indicators.
###
* The 90 percent confidence interval includes zero. There is insufficient statistical evidence to conclude that the actual change is different from zero.

Data Inquiries
Economic Indicators Division, Retail Indicator Branch
301-763-2713
eid.retail.indicator.branch@census.gov

Media Inquiries
Public Information Office
301-763-3030
pio@census.gov

Table 1. Estimated Monthly Sales for Retail and Food Services, by Kind of Business
(Total sales estimates are shown in millions of dollars and are based on data from the Advance Monthly Retail Trade Survey, Monthly Retail Trade Survey,
and administrative records.)

NAICS
code

6 Month Total

Kind of Business

2025
Retail & food services,
total ……………………………….………..……… 4,201,504
Total (excl. motor vehicle & parts) … 3,376,502
Total (excl. gasoline stations) ………………3,899,227
Total (excl. motor vehicle & parts &
gasoline stations) ……………………….
3,074,225
Retail …..…………………………….……….. 3,620,138
(*)
GAFO4………………………....……...……...…………..………..………

Adjusted2

Not Adjusted
2025

2024

2025

Jun.3
(a)

3.6
3.3
4.3

713,652
578,659
660,746

753,390 722,319 688,151 730,332 720,106 715,541 721,789 692,922
608,383 574,654 559,930 587,999 583,326 580,393 581,284 564,439
699,016 670,770 632,808 672,706 669,815 665,241 670,851 640,315

692,774
560,134
639,367

4.1
3.4
(*)

525,753
613,336
(*)

554,009 523,105 504,587 530,373 533,035 530,093 530,346 511,832
647,460 623,756 592,999 631,832 621,370 617,367 623,521 600,272
137,664 125,740 127,152 132,511
(*)
132,477 132,102 129,195

506,727
600,372
128,991

May
(p)

Apr.
(r)

Jun.

Jun.3
(a)

2024

% Chg.
2024

May

May
(p)

Apr.
(r)

Jun.
(r)

May
(r)

441
4411, 4412
44111
4413

Motor vehicle & parts dealers …….……… 825,002
757,236
Auto & other motor veh. dealers .
(*)
New car dealers ……………….………..
Auto parts, acc. & tire stores…………… (*)

5.1
5.3
(*)
(*)

134,993
123,300
(*)
(*)

145,007 147,665 128,221 142,333 136,780 135,148 140,505 128,483
132,902 135,856 116,858 130,492 125,305 123,630 129,018 117,210
110,451 113,706 95,929 107,993
(NA)
(NA)
(NA)
(NA)
12,105
11,809
11,363
11,841
(*)
11,518
11,487
11,273

132,640
121,501
(NA)
11,139

442
4421
4422

Furniture & home furn. stores …………… 66,465
Furniture stores …………………..……….
(*)
(*)
Home furnishings stores ………..………

5.7
(*)
(*)

11,054
(*)
(*)

11,785
6,378
(S)

11,219
6,076
(S)

10,597
5,797
(S)

11,186
5,918
(S)

11,467
(NA)
(NA)

11,475
(NA)
(NA)

11,542
(NA)
(NA)

10,970
(NA)
(NA)

10,860
(NA)
(NA)

443

Electronics & appliance stores …………… 42,332

-1.5

7,196

7,437

6,820

7,147

7,504

7,615

7,620

7,646

7,628

7,752

444
4441

Building material & garden eq. &
supplies dealers…………………….………..… 239,470
Building mat. & sup. dealers …………… (*)

-0.5
(*)

43,403
(*)

46,783
39,485

45,042
38,113

43,334
37,435

48,136
41,009

40,120
(*)

39,772
34,425

40,859
35,454

40,550
35,250

40,171
34,991

445
4451
4453

Food & beverage stores…………….………. 495,704
Grocery stores …………………..………..… 448,545
Beer, wine & liquor stores ……………… (*)

2.6
2.8
(*)

83,158
74,779
(*)

87,314
78,549
6,313

82,609
74,601
5,626

82,105
73,686
6,155

85,100
76,465
6,264

84,322
75,918
(*)

83,905
75,528
5,973

84,358
75,968
5,991

82,252
73,908
6,046

82,078
73,737
6,012

446
44611

Health & personal care stores …….……… 227,804
(*)
Pharmacies & drug stores ………………

7.1
(*)

38,489
(*)

39,155
33,640

38,492
33,216

35,084
29,605

36,676
31,177

39,035
(*)

38,844
33,340

38,881
33,349

36,058
30,552

36,028
30,536

447

Gasoline stations ……………………………..… 302,277

-4.0

52,906

54,374

51,549

55,343

57,626

50,291

50,300

50,938

52,607

53,407

448

Clothing & clothing accessories
stores …………………………….…..………..…… 142,604

3.6

24,869

27,941

24,739

24,285

26,511

26,342

26,097

26,020

25,357

25,212

(*)
(*)
(*)
(*)

(S)
3,028
12,819
3,336

(S)
2,862
11,280
2,967

(S)
2,680
10,801
2,995

(S)
3,160
11,420
3,252

(*)
(*)
(NA)
(*)

(S)
2,750
(NA)
3,208

(S)
2,798
(NA)
3,160

(S)
2,833
(NA)
3,163

(S)
2,886
(NA)
3,182

44811
44812
44814
4482

Men's clothing stores ……………………
Women's clothing stores ………..………
Family clothing stores ……………………
Shoe stores ………………………………..…

(*)
(*)
(*)
(*)

451

Sporting goods, hobby, musical
instrument, & book stores ………………… 43,560

-0.4

7,918

7,879

7,154

7,846

7,718

7,990

7,975

7,896

7,862

7,876

452
4522
4523

General merchandise stores……….……… 441,508
Department stores ………………….……… 16,944
Gen. merchandise stores
incl. warehouse clubs &
supercenters………….........…..……...
(*)
Warehouse clubs &
supercenters………………….………..… (*)
All oth. gen. merch. stores…………… (*)

2.4
-3.1

76,082
2,923

80,043
3,333

73,888
3,003

74,844
3,061

77,335
3,418

77,250
3,202

76,840
3,227

76,775
3,236

74,870
3,320

75,101
3,315

(*)

76,710

70,885

71,783

73,917

(*)

73,613

73,539

71,550

71,786

(*)
(*)

67,003
9,707

61,973
8,912

62,989
8,794

64,427
9,490

(*)
(*)

64,550
9,063

64,555
8,984

62,738
8,812

62,917
8,869

14,112

14,019

14,787

14,847

14,591

14,082

452311
452319
453

Miscellaneous store retailers ……..……… 85,310

7.4

15,637

16,151

13,680

13,343

454
4541

Nonstore retailers …………………..………..… 708,102
(*)
Elect. shopping & m/o houses ….……

6.4
(*)

117,631
(*)

123,591 120,467 110,174 116,920 125,311 124,800 124,019 119,955
117,340 113,538 104,456 110,378
(*)
117,930 116,809 113,170

115,904
108,962

722

Food services & drinking places ………..

5.1

100,316

105,930

92,402

581,366

(*) Advance estimates are not available for this kind of business.

(NA) Not available

98,563

(a) Advance estimate

95,152

98,500

(p) Preliminary estimate

98,736

98,174

98,268

92,650

(r) Revised estimate

(S) Estimate does not meet publication standards because of high sampling variability (coefficient of variation is greater than 30%), poor response quality
(total quantity response rate is less than 50%), or other concerns about the estimate's quality.
(1) Estimates include data only for businesses with paid employees. Prior to the benchmark report released in April 2025, the Advance Monthly Retail Trade Survey estimates included nonemployers.
For a full description of the NAICS codes used in this table, see .
(2) Estimates are concurrently adjusted for seasonal variation and for holiday and trading day differences, but not for price changes. Concurrent seasonal adjustment
uses all available unadjusted estimates as input to the X-13ARIMA-SEATS program. The factors derived from the program are used in calculating all seasonally
adjusted estimates shown in this table. Year-to-date seasonally adjusted sales estimates are not tabulated. Adjustment factors and explanatory material can be found
on the Internet at .
(3) Advance estimates are based on early reports obtained from a small sample of firms selected from the larger Monthly Retail Trade Survey (MRTS) sample.
All other estimates are from the MRTS sample.
(4) GAFO represents firms which specialize in department store types of merchandise and is comprised of furniture & home furnishings (442), electronics & appliances (443),
clothing & accessories (448), sporting goods, hobby, musical instrument, and book (451), general merchandise (452), office supply, stationery, and gift stores (4532).
Source: U.S. Census Bureau, Advance Monthly Retail Trade Survey, July 17, 2025. (Project No. P-7504206 / Approval CBDRB-FY25-0002), Table 3 provides estimated measures
of sampling variability. Additional information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions may be found at
.

Table 2. Estimated Change in Monthly Sales for Retail and Food Services, by Kind of Business
(Estimates are shown as percents and are based on data from the Advance Monthly Retail Trade Survey, Monthly Retail Trade Survey,
and administrative records.)

Percent Change1
Apr. 2025
May 2025 Preliminary

through

from --

Jun. 2025 from -Jan. 2025
Apr. 2024
through
through
Mar. 2025
Jun. 2024

Kind of Business

NAICS
code

Retail & food services,
total ………………………………..…………..……
Total (excl. motor vehicle & parts) …..
Total (excl. gasoline stations) ………………
Total (excl. motor vehicle & parts &
gasoline stations) ……………………….……
441
4411, 4412

Jun. 2025 Advance

May 2025
(p)

Jun. 2024
(r)

Apr. 2025
(r)

May 2024
(r)

0.6
0.5
0.7

3.9
3.3
4.6

-0.9
-0.2
-0.8

3.3
3.6
4.0

0.5
0.7
0.8

4.1
3.7
4.9

0.6

4.1

0.0

4.6

1.1

4.7

Retail ………………………..………..…………..

0.6

3.5

-1.0

2.8

0.2

3.7

Motor vehicle & parts dealers ………………
Auto & other motor veh. dealers …

1.2
1.4

6.5
6.9

-3.8
-4.2

1.9
1.8

0.0
-0.1

5.7
5.9

442

Furniture & home furn. stores ………………

-0.1

4.5

-0.6

5.7

-0.1

5.9

443

Electronics & appliance stores …….………

-0.1

-0.2

-0.3

-1.7

1.0

-0.7

444

Building material & garden eq. &
supplies dealers…………………………………

0.9

-1.1

-2.7

-1.0

0.3

0.1

445
4451

Food & beverage stores…………………………
Grocery stores …………………….…………

0.5
0.5

2.5
2.7

-0.5
-0.6

2.2
2.4

-0.1
-0.2

2.5
2.7

446

Health & personal care stores ………………

0.5

8.3

-0.1

7.8

1.5

8.2

447

Gasoline stations ……………………..…………

0.0

-4.4

-1.3

-5.8

-3.3

-5.6

448

Clothing & clothing accessories
stores ……………………….……………………..…

0.9

3.9

0.3

3.5

1.4

3.9

451

Sporting goods, hobby, musical
instrument, & book stores …………………

0.2

1.6

1.0

1.3

0.0

1.1

452
4522

General merchandise stores…………………
Department stores ……………………….

0.5
-0.8

3.2
-3.6

0.1
-0.3

2.3
-2.7

0.2
-1.7

2.7
-3.7

453

Miscellaneous store retailers ……….………

1.8

8.5

3.6

9.4

1.0

7.2

454

Nonstore retailers …………………….…………

0.4

4.5

0.6

7.7

1.5

6.8

722

Food services & drinking places ………….

0.6

6.6

-0.1

6.2

2.5

6.6

(p) Preliminary estimate

(r) Revised estimate

(1) Estimates shown in this table are derived from adjusted estimates provided in Table 1 of this report.
Source: U.S. Census Bureau, Advance Monthly Retail Trade Survey, July 17, 2025. (Project No. P-7504206 / Approval CBDRB-FY25-0002),
Table 3 provides estimated measures of sampling variability. Additional information on confidentiality protection, sampling error,
nonsampling error, sample design, and definitions may be found at .

Table 3. Estimated Measures of Sampling Variability and Revision to Advance Estimates Jun. 2025
(Estimates are shown as percents and are based on data from the Advance Monthly Retail Trade Survey and Monthly Retail Trade Survey)

NAICS Code

441
4411, 4412
442
443
444
445
4451
446
447
448
451
452
4522
453
454
722

Kind of Business

Retail & food services,
total ………………..…………………………………
Total (excl. motor vehicle & parts) ………
Total (excl. gasoline stations) ………………
Total (excl. motor vehicle & parts &
gasoline stations) ………………………………
Retail, total …..……………………………………
Motor vehicle & parts dealers ………………
Auto & other motor veh. dealers ………
Furniture & home furn. stores………………
Electronics & appliance stores ………………
Building material & garden eq. &
supplies dealers…………………………………
Food & beverage stores…………………………
Grocery stores ……………………………….
Health & personal care stores ………………
Gasoline stations …………………………………
Clothing & clothing accessories
stores …………………………………………………
Sporting goods, hobby, musical
instrument, & book stores ………………..
General merchandise stores…………………
Department stores …………………………
Miscellaneous store retailers ………………
Nonstore retailers …………………………………
Food services & drinking places ……………

Median standard error (1) for
Percent change

Revision for monthto-month change(2)

Median
CV (1) for
Current Mo.
(%)

Previous Mo.
to
Current Mo.

Previous Qtr.
to
Current Qtr.

Current Mo.
to same
Mo. Last Yr.

Average
revision

Median
absolute
revision

0.9
1.2
1.0

0.3
0.2
0.3

0.2
0.2
0.2

0.3
0.3
0.3

0.1
0.1
0.0

0.2
0.1
0.2

1.3
0.9
1.7
1.8
2.8
2.2

0.2
0.3
0.8
0.9
1.4
0.8

0.2
0.2
0.4
0.4
0.8
0.5

0.3
0.3
1.0
1.0
1.9
1.2

0.1
0.0
-0.1
-0.1
0.4
0.1

0.1
0.1
0.3
0.4
0.6
0.4

3.5
0.7
0.8
3.8
1.6

0.9
0.2
0.1
0.4
0.5

0.6
0.1
0.2
0.4
0.4

1.2
0.4
0.4
0.9
0.7

-0.2
0.0
0.0
0.2
0.3

0.4
0.1
0.1
0.3
0.4

3.2

1.0

0.6

1.1

0.0

0.5

2.9
0.9
0.0
4.4
2.2
3.3

1.0
0.1
0.0
2.7
0.4
0.8

0.9
0.1
0.0
1.3
0.4
0.5

1.7
0.1
0.0
2.9
0.8
1.0

0.2
0.0
0.1
0.1
0.0
0.3

0.5
0.2
0.1
0.8
0.3
0.5

(1) Estimated measures of sampling variability are based on estimates not adjusted for seasonal variation or holiday or trading day variation. Medians are based
on estimates for the most recent 12 months.
(2) These columns provide measures of the difference between the advance-to-preliminary and preliminary-to-final estimates of month-to-month change for the
same pair of months as measured by the Advance sample and MRTS sample. The average and median revisions are based on estimates for the most
recent 12 months.
Source: U.S. Census Bureau, Advance Monthly Retail Trade Survey, July 17, 2025. (Project No. P-7504206 / Approval CBDRB-FY25-0002),
Additional information on confidentiality protection, sampling error, nonsampling error, sample design, and definitions may be found at
.

FOR RELEASE AT 10:00 AM EDT, FRIDAY, AUGUST 15, 2025

MANUFACTURING AND TRADE INVENTORIES AND SALES, JUNE 2025
Release Number: CB25-121
August 15, 2025 — The U.S. Census Bureau announced the following new manufacturing and trade statistics
for June 2025:
Total Business Inventories / Sales Ratios: 2016 to 2025

BUSINESS INVENTORIES

JUNE 2025

$2,660.3 billion

MAY 2025
(revised)

$2,655.9 billion

+0.2%
0.0%*

Next release: September 16, 2025
* The 90 percent confidence interval includes zero. There is insufficient evidence
to conclude that the actual change is different from zero.
Data adjusted for seasonality but not price changes.
Source: U.S. Census Bureau, Manufacturing and Trade Inventories and Sales,
August 15, 2025.

1.80
1.75
1.70
1.65
1.60
1.55
1.50
1.45
1.40
1.35
1.30
1.25
1.20

2016

2017

2018

2019

2020

2021

2022

2023

2024

2025

Source: U.S. Census Bureau, Manufacturing and Trade Inventories and Sales, August 15, 2025.
(Data adjusted for seasonal, holiday and trading day differences but not for price changes)

Sales
The combined value of distributive trade sales and manufacturers’ shipments for June, adjusted for seasonal
and trading day differences but not for price changes, was estimated at $1,924.7 billion, up 0.5 percent (±0.2
percent) from May 2025 and was up 3.8 percent (±0.3 percent) from June 2024.
Inventories
Manufacturers’ and trade inventories for June, adjusted for seasonal and trading day differences but not for
price changes, were estimated at an end-of-month level of $2,660.3 billion, up 0.2 percent (±0.1 percent) from
May 2025 and were up 1.6 percent (±0.3 percent) from June 2024.
Inventories/Sales Ratio
The total business inventories/sales ratio based on seasonally adjusted data at the end of June was 1.38. The
June 2024 ratio was 1.41.
General Information
The July 2025 Manufacturing and Trade Inventories and Sales Report is scheduled for release on September
16, 2025. View the full schedule in the Economic Briefing Room: .

Data Inquiries
Economic Indicators Division
Retail: 301-763-2713 eid.retail.indicator.branch@census.gov
Wholesale: 301-763-6856 eid.wholesale.indicator.branch@census.gov
Manufacturing: 301-763-4832 eid.m3.qs@census.gov

Media Inquiries
Public Information Office
301-763-3030
pio@census.gov

EXPLANATORY NOTES
Statement Regarding Natural Disasters
For information on the impact of natural disasters on the compilation of this report, please see
and
.
Reliability of Estimates
The sampling variability for retailers and merchant wholesalers can be used to construct a 90 percent
confidence interval for the estimates. Over all possible samples, 90 percent of such intervals will cover the
true estimate. These intervals are given in parentheses for the estimates on the front page. If, for example, the
estimate is up 0.8 percent and the margin of sampling error is ±1.2 percent, the 90 percent confidence interval
is -0.4 percent to +2.0 percent. If the range contains 0, it is uncertain whether there was an increase or
decrease. Measures of reliability for Retail and Wholesale sales and inventory levels and changes are included
in the detailed monthly press releases for those Industries. Manufacturers do not contribute to estimates of
sampling variability because the manufacturer’s mail panel is not a probability sample from a known frame
and standard errors of the industry estimates cannot be calculated. Estimates from all three surveys are also
subject to nonsampling errors, which can arise in any stage of the survey. Such errors include coverage error
(failure to accurately represent all population units in the sample) response errors, coding errors, and
nonresponse. Although no direct measurement of these errors has been obtained, precautionary steps were
taken in all phases of the collection, processing, and tabulation of the data to minimize their influence.
Description of the Survey
The Manufacturing and Trade Inventories and Sales estimates are based on data from three surveys: the
Monthly Retail Trade Survey, the Monthly Wholesale Trade Survey, and the Manufacturers’ Shipments,
Inventories, and Orders Survey. Data for the wholesale and manufacturing sectors are unrevised from the
most recent Monthly Wholesale Trade Report and the Full Report on Manufacturers’ Shipments, Inventories
and orders. Data from the Retail sector is revised and presented in more detail from the most recent Advance
Economic Indicators Report. For more information on these surveys see the links below:
, , and .
The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure
avoidance protection of the confidential source data, (Project No. P-7504206, Disclosure Review Board (DRB)
approval number: CBDRB‑FY25‑0002), (Project No. 7503922, Disclosure Review Board (DRB) approval number:
CBDRB-FY25-0004), (Project No. P-6000307, Disclosure Review Board (DRB) approval number: CBDRB-FY250224).

Media Inquiries
Public Information Office
301-763-3030
pio@census.gov

RESOURCES
API
The Census Bureau’s application programming interface lets developers create custom apps to reach new
users and makes key statistics more accessible than ever before.
FRED Mobile App
Receive the latest updates on the nation’s key economic indicators by downloading the
FRED App for both Apple and Android
devices. FRED, the signature database of the Federal Reserve Bank of St. Louis, now
incorporates the Census Bureau’s 13 economic indicators.
###
* The 90 percent confidence interval includes zero. There is insufficient evidence to conclude that the actual change is different from zero.

Media Inquiries
Public Information Office
301-763-3030
pio@census.gov

Table 1. Estimated Monthly Sales and Inventories for Manufacturers, Retailers, and Merchant Wholesalers
(In millions of dollars)

Sales

Inventories

Inventories/Sales Ratios

Jun. 2025

May 2025

Jun. 2024

Jun. 2025

May 2025

Jun. 2024

Jun. 2025

May 2025

Jun. 2024

(p)

(r)

(p)

(r)

(p)

(r)

Adjusted

Total business………………………………………………………
1,924,743
1,914,247

1,854,041

2,660,314

2,655,931

2,618,815

1.38

1.39

1.41

Manufacturers²………………………………….
602,411

599,560

591,770

945,598

944,036

935,183

1.57

1.58

Retailers³………………………………………….....
623,882

618,037

599,979

808,367

806,437

789,170

1.30

1.32

Merchant wholesalers⁴……………………………..
698,450

696,650

662,292

906,349

905,458

894,462

1.30

1.35

Total business………………………………………….
1,954,235

1,967,461

1,862,291

2,643,234

2,650,341

2,604,524

1.35

1.40

Manufacturers²…………………………………………..
629,264

608,381

612,870

944,809

950,793

934,908

1.50

1.56

1.53

Retailers³………………………………………………………..
616,005

647,306

592,999

799,147

796,569

779,887

1.30

1.23

1.32

Merchant wholesalers⁴………………………………..…
708,966

711,774

656,422

899,278

902,979

889,729

1.27

1.36

Not Adjusted

(p) Preliminary estimate.
(r) Revised estimate.
Data adjusted for seasonality and trading day differences, but not for price changes. Explanations of confidence intervals and sampling variability can be found on
our website at .
Source: U.S. Census Bureau, Manufacturing and Trade Inventories and Sales, August 15, 2025.

Table 2. Percent Changes for Sales and Inventories -- Manufacturers, Retailers, and Merchant Wholesalers

Adjusted

Not Adjusted

Sales

Inventories

Sales

Inventories

Jun. 25/

May 25/

Jun. 25/

May 25/

Jun. 25/

May 25/

Jun. 25/

May 25/

Jun. 25/

May 25

Apr. 25

Jun. 24

May 25

Apr. 25

Jun. 24

May 25

Apr. 25

Jun. 24

May 25

Apr. 25

Jun. 24

-0.4

3.8

0.2

0.0

1.6

-0.7

1.7

4.9

-0.3

-0.6

1.5

Manufacturers …………………………………………..………………
0.5
0.2

1.8

0.2

0.1

1.1

3.4

1.6

2.7

-0.6

0.1

1.1

-0.9

4.0

0.2

2.4

-4.8

3.8

3.9

0.3

-0.7

2.5

Merchant wholesalers …………………………………………..…
0.3
-0.4

5.5

0.1

-0.3

1.3

-0.4

0.1

8.0

-0.4

-1.1

1.1

Total business…………………………………………..……
0.5

Retailers …………………………………………..………
0.9

See footnotes and notes at the end of Table 3.
Data adjusted for seasonality and trading day differences, but not for price changes. Explanations of confidence intervals and sampling variability can be found on our website at
.
Source: U.S. Census Bureau, Manufacturing and Trade Inventories and Sales, August 15, 2025.

Table 3. Estimated Monthly Retail Sales, Inventories, and Inventories/Sales Ratios, By Kind of Business
(In millions of dollars)
Sales

Inventories

Percent Change

Kind of Business

NAICS
Code

Inventories/Sales

In Inventories

Ratios

Jun. 2025

May 2025

Jun. 2024

Jun. 2025

May 2025

Jun. 2024

Jun. 25/

May 25/

Jun. 25/

Jun. 25

May 25

Jun. 24

(p)

(r)

(p)

(r)

May 25

Apr. 25

Jun. 24

(p)

(r)

Retail trade, total…………………………………………………………………………
623,882

618,037

599,979

808,367

806,437

789,170

0.2

2.4

1.30

1.32

Total (excl. motor veh. & parts)……………………………………… 486,896

482,879

471,496

551,472

552,122

529,711

-0.1

0.1

4.1

1.13

1.14

1.12

Motor vehicle & parts dealers…………………………………………..…………
136,986

135,158

128,483

256,895

254,315

259,459

1.0

0.6

-1.0

1.88

2.02

Furniture,home furn., elect. & appl. stores……………………………..………………
19,079

Adjusted 1

441
442,3

19,091

18,629

29,817

29,761

29,304

0.2

1.1

1.8

1.56

1.57

444

Building materials, garden equip & supplies…………………………………………..……
40,268
39,744

40,389

83,699

83,410

78,457

0.3

0.0

6.7

2.08

2.10

1.94

445

Food & beverage stores…………………………………………..…………………………
84,554

83,855

82,336

62,687

62,718

60,295

0.0

0.1

4.0

0.74

0.75

0.73

448

Clothing & clothing access. stores…………………………………..…………26,433

26,156

25,247

58,395

58,141

57,558

0.4

-0.3

1.5

2.21

2.22

2.28

452

General merchandise stores…………………………………………..……………………
77,085

76,698

74,990

98,542

98,956

96,693

-0.4

-0.1

1.9

1.28

1.29

3,233

3,324

8,843

8,784

8,755

0.7

-0.4

1.0

2.75

2.72

2.63

Retail trade, total…………………………………………..……………………… 616,005

647,306

592,999

799,147

796,569

779,887

0.3

-0.7

2.5

1.30

1.23

1.32

Total (excl. motor veh. & parts)…………………………………………..………
480,811

502,376

464,778

542,365

543,524

521,017

-0.2

-0.8

4.1

1.13

1.08

1.12

2.02

4522

Department stores…………………………………………..………………

3,213

Not Adjusted

441

Motor vehicle & parts dealers…………………………………………..……………………
135,194

144,930

128,221

256,782

253,045

258,870

1.5

-0.4

-0.8

1.90

1.75

442,3

Furniture,home furn., elect. & appl. stores……………………………..……………………
18,199
19,203

17,744

29,698

29,315

29,157

1.3

1.8

1.9

1.63

1.53

1.64

444

Building materials, garden equip & supplies…………………………………………..……
43,837
46,780

43,334

83,448

85,495

78,300

-2.4

-2.6

6.6

1.90

1.83

1.81

445

Food & beverage stores…………………………………………..………………………………
83,377

87,339

82,105

62,103

62,230

59,735

-0.2

0.3

4.0

0.74

0.71

0.73

448

Clothing & clothing access. stores…………………………………..………………………………
24,987
27,920

24,285

57,344

57,153

56,580

0.3

-1.6

1.4

2.29

2.05

2.33

452

General merchandise stores……………………………………………………………………………………………………….
75,730
79,804
74,844

94,757

95,576

92,905

-0.9

-2.0

2.0

1.25

1.20

1.24

8,197

8,380

8,133

-2.2

-3.1

0.8

2.81

2.51

2.66

4522

Department stores…………………………………………..………………… 2,921

3,333

3,061

(p) Preliminary estimate.
(r) Revised estimate.
1

Adjusted for seasonal variations, trading day differences, and, in the case of sales, for holiday variations. Concurrent seasonal adjustment is being used to adjust all sales, shipment and inventory estimates. Concurrent seasonal
adjustment uses all available unadjusted estimates as input to the X-13ARIMA-SEATS program. The factors derived from the program are applied to the current and previous month estimates and for retail and wholesale
estimates a year ago as well. For retail sales, concurrent seasonal adjustment is also used to adjust the advance estimates (published one month before the preliminary estimates) and the estimates one year before the advance
month. This explains the revision to retail estimates from a year ago.
2

Manufacturers sales refer to the value of shipments by manufacturers. The shipments data from individual manufacturers are adjusted prior to tabulation for the number of trading days as well as for any variations in the length
of the reporting period.
3

Adjusted and not adjusted inventories for aggregate levels of retail trade total, total excluding motor vehicles and parts, and motor vehicle and parts dealers are revised from the Advance Economic Indicators Report.

The 2017 North American Industry Classification System (NAICS) defines merchant wholesalers as including manufacturers' sales branches and offices. However, the estimates included in this release exclude manufacturers'
sales branches and offices. Note that this is not a change in coverage from prior releases and is consistent with the description used in the Monthly Wholesale Trade Survey data products.
Data adjusted for seasonality and trading day differences, but not for price changes. Explanations of confidence intervals and sampling variability can be found on our website at
. Estimates include data only for businesses with paid employees. Prior to the benchmark report released in April 2025, the monthly retail estimates that were released
in the Manufacturing and Trade Inventories and Sales estimates included nonemployers.
Source: U.S. Census Bureau, Manufacturing and Trade Inventories and Sales, August 15, 2025.

FOR IMMEDIATE RELEASE
TUESDAY, AUGUST 19, 2025, AT 10:00 A.M. EDT
Data Inquiries Economic Indicators Division, Retail Indicator Branch: (301) 763-2713
Media Inquiries Public Information Office: (301) 763-3030

CB25-122

QUARTERLY RETAIL E-COMMERCE SALES
2nd QUARTER 2025
The Census Bureau of the Department of Commerce announced today that the estimate of U.S. retail e-commerce sales for the
second quarter of 2025, adjusted for seasonal variation, but not for price changes, was $304.2 billion, an increase of 1.4 percent
(±0.9%) from the first quarter of 2025. Total retail sales for the second quarter of 2025 were estimated at $1,865.4 billion, an
increase of 0.4 percent (±0.4%)* from the first quarter of 2025. The second quarter 2025 e-commerce estimate increased 5.3
percent (±1.2%) from the second quarter of 2024 while total retail sales increased 3.9 percent (±0.4%) in the same period. Ecommerce sales in the second quarter of 2025 accounted for 16.3 percent of total sales.
On a not adjusted basis, the estimate of U.S. retail e-commerce sales for the second quarter of 2025 totaled $292.9 billion, an
increase of 6.2 percent (±0.9%) from the first quarter of 2025. The second quarter 2025 e-commerce estimate increased 5.3 percent
(±1.2%) from the second quarter of 2024 while total retail sales increased 3.8 percent (±0.4%) in the same period. E-commerce sales
in the second quarter of 2025 accounted for 15.5 percent of total sales.

Estimated Quarterly U.S. Retail E-commerce Sales as a Percent of Total Quarterly Retail Sales:
1st Quarter 2016 – 2nd Quarter 2025
Percent of Total

The Quarterly Retail E-Commerce sales estimate for the third quarter of 2025 is scheduled for release on November 18, 2025 at
10:00 A.M. EST.
For information, including estimates from 4th quarter 1999 forward, visit the Census Bureau’s Web site at
. For additional information about Census Bureau e-business measurement programs and plans
visit .
* The 90% confidence interval includes zero. The Census Bureau does not have sufficient statistical evidence to conclude that the
actual change is different from zero.

Table 1.

Estimated Quarterly U.S. Retail Sales: Total and E-commerce1

(Estimates are based on data from the Monthly Retail Trade Survey and administrative records.)
.

Total

E-commerce

E-commerce
as a Percent
of
Total

1,865,440
1,857,808
1,851,799
1,818,671
1,796,027

304,209
299,909
300,357
295,269
288,822

16.3
16.1
16.2
16.2
16.1

0.4
0.3
1.8
1.3
1.0

1.4
-0.1
1.7
2.2
2.0

3.9
4.5
3.8
2.0
2.1

5.3
6.0
8.5
7.3
7.1

1,887,067
1,735,586
1,944,449
1,819,936
1,818,605

292,933
275,715
345,872
284,795
278,255

15.5
15.9
17.8
15.6
15.3

8.7
-10.7
6.8
0.1
8.1

6.2
-20.3
21.4
2.4
6.6

3.8
3.2
4.5
2.0
1.7

5.3
5.6
8.8
7.6
6.7

Retail Sales
(millions of dollars)
Quarter
Adjusted2
2nd quarter 2025(p)
1st quarter 2025(r)
4th quarter 2024
3rd quarter 2024
2nd quarter 2024(r)
Not Adjusted
2nd quarter 2025(p)
1st quarter 2025(r)
4th quarter 2024
3rd quarter 2024
2nd quarter 2024

Percent Change
From Prior Quarter
Total

E-commerce

Percent Change
From Same Quarter
A Year Ago
Total
E-commerce

(p) Preliminary estimate. (r) Revised estimate.
1 E-commerce sales are sales of goods and services where the buyer places an order, or the price and terms of the sale are negotiated over an Internet, mobile

device (M-commerce), extranet, Electronic Data Interchange (EDI) network, electronic mail, or other comparable online system. Payment may or may not be
made online. Estimates include data only for businesses with paid employees. Prior to the benchmark report released in April 2025, the Quarterly E-commerce
estimates included nonemployers.
2 Estimates are adjusted for seasonal variation, but not for price changes. Total sales estimates are also adjusted for trading-day differences and moving holidays.
Note: Table 2 provides estimated measures of sampling variability. For information on confidentiality protection, sampling error, nonsampling error, sample
design, and definitions, see http://www.census.gov/retail/mrts/how_surveys_are_collected.html.

Table 2.

Estimated Measures of Sampling Variability for Quarterly U.S. Retail Sales Estimates: Total and Ecommerce

(Estimates are shown as percents and are based on data from the Monthly Retail Trade Survey.)

Coefficient of
Variation (CV)

SE for
Percent Change
From Prior Quarter

SE for Percent Change
From Same Quarter
A Year Ago

Total

E-commerce

Standard Error
(SE) for
E-commerce
as a Percent
of Total

2nd quarter 2025(p)

0.9

2.1

0.3

0.2

0.5

0.2

0.7

1st quarter 2025(r)

0.9

1.9

0.2

0.1

0.4

0.2

0.5

4th quarter 2024

0.9

1.9

0.3

0.2

0.5

0.3

0.6

3rd quarter 2024

0.9

2.0

0.2

0.1

0.2

0.3

0.7

2nd quarter 2024

0.8

2.0

0.2

0.1

0.4

0.2

0.7

Quarter

Total

E-commerce

Total

E-commerce

(p) Preliminary estimate. (r) Revised estimate. (Z) Estimate is less than 0.05%.
Note: Estimated measures of sampling variability are based on data not adjusted for seasonal variation, trading-day differences, or moving holidays, and are
used to make confidence statements about both adjusted and not adjusted estimates. For information on confidentiality protection, sampling error,
nonsampling error, sample design, and definitions, see http://www.census.gov/retail/mrts/how_surveys_are_collected.html.

Survey Description
Retail e-commerce sales are estimated from the same sample used for the Monthly Retail Trade Survey (MRTS) to estimate preliminary
and final U.S. retail sales. Advance U.S. retail sales are estimated from a subsample of the MRTS sample that is not of adequate size to
measure changes in retail e-commerce sales.
A stratified simple random sampling method is used to select approximately 10,800 retail firms excluding food services whose
sales are then weighted and benchmarked to represent the complete universe of over two million retail firms. The MRTS
sample is probability based and represents all employer firms engaged in retail activities as defined by the North American Industry
Classification System (NAICS). Coverage includes all retailers whether or not they are engaged in e-commerce. Online travel
services, financial brokers and dealers, and ticket sales agencies are not classified as retail and are not included in either the
total retail or retail e-commerce sales estimates. Previously, firms without paid employees, or nonemployers, were included in the
estimates through a benchmarking adjustment factor. As of the April 2025 annual revision report, nonemployers are no longer included
in the estimates and have been removed from the time series to be aligned with the Annual Integrated Economic Survey (AIES). Ecommerce sales are included in the total monthly sales estimates.
The MRTS sample is updated on an ongoing basis to account for new retail employer businesses (including those selling via the
Internet), business deaths, and other changes to the retail business universe. Firms are asked each month to report e-commerce sales
separately. For each month of the quarter, data for nonresponding sampling units are imputed from responding sampling units falling
within the same kind of business and sales size category or based on historical performance of that company. Responding firms account
for approximately 70 percent of the e-commerce sales estimate and about 69 percent of the estimate of U.S. retail sales for any
quarter.
For each month of the quarter, estimates are obtained by summing weighted sales (either reported or imputed). The monthly
estimates are benchmarked to prior annual survey estimates. Estimates for the quarter are obtained by summing the monthly
benchmarked estimates. The estimate for the most recent quarter is a preliminary estimate. Therefore, the estimate is subject to
revision. Data users who create their own estimates using data from this report should cite the Census Bureau as the source of
the input data only.
The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of
the confidential source data (Project No. P-7504206, Disclosure Review Board (DRB) approval number: CBDRB-FY25-0002).
Adjusted Estimates
This report publishes estimates that have been adjusted for seasonal variation and holiday and trading-day differences, but
not for price changes. We used quarterly e-commerce sales estimates for 4th quarter 1999 to the current quarter as input to
the X-13ARIMA-SEATS program to derive the adjusted estimates. For sales, we derived quarterly adjusted estimates by
summing adjusted monthly sales estimates for each respective quarter. Seasonal adjustment of estimates is an approximation
based on current and past experiences.
The X-13ARIMA-SEATS software improves upon the X-12 ARIMA seasonal adjustment software by providing enhanced
diagnostics as well as incorporating an enhanced version of the Bank of Spain’s SEATS (Signal Extraction in ARIMA Time Series)
software, which uses an ARIMA model-based procedure instead of the X-11 filter-based approach to estimate seasonal
factors. The X-13ARIMA-SEATS and X-12 ARIMA software produce identical results when using X-13ARIMA-SEATS with the X11 filter-based adjustments. The X-13ARIMA-SEATS software and additional information on the X-13ARIMA-SEATS program
may be found at https://www.census.gov/data/software/x13as.html.
Note that the retail estimates continue to be adjusted using the X-11 filter-based adjustment procedure.
Reliability of Estimates
Because the estimates in this report are based on a sample survey, they contain sampling error and nonsampling error.
Sampling error is the difference between the estimate and the result that would be obtained from a complete enumeration of the
population conducted under the same survey conditions. This error occurs because only a subset of the entire population is measured
in a sample survey. Standard errors and coefficients of variation, as given in Table 2 of this report, are estimated measures of sampling
variation.
The margin of error, as used on page 1, gives a range about the estimate which is a 90 percent confidence interval. If, for example, the
estimated percent change is -11.4% and its estimated standard error is 1.2%, then the margin of error is
±1.753 x 1.2% or 2.1%, and the 90 percent confidence interval is -13.5% to -9.3%. Confidence intervals are computed based
on the particular sample selected and canvassed. If one repeats the process of drawing all possible samples and forming all
corresponding confidence intervals, approximately 90 percent of these individual confidence intervals would contain the
estimate computed from a complete enumeration of all units on the sampling frame. If the confidence interval contains 0%,
then one does not have sufficient evidence to conclude at the 90 percent confidence level that the change is different from
zero.
Nonsampling error encompasses all other factors that contribute to the total error of a sample survey estimate. This type of
error can occur because of nonresponse, insufficient coverage of the universe of retail businesses with e-commerce sales,
mistakes in the recording and coding of data, and other errors of collection, response, coverage, or processing. Although not
directly measured, precautionary steps are taken to minimize the effects of nonsampling error.

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Author	U.S. Census Bureau - Economic Indicators Division Ph: 301-763-23
File Modified	2025-11-17
File Created	2025-11-17