This document summarizes e-commerce statistics for key sectors of the US economy in 2015 based on data from four Census Bureau surveys. It finds that:
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2) Total e-commerce sales for US merchant wholesalers were $2,198.8 billion in 2015, up 1.9% from 2014. E-commerce accounted for 30.2% of total wholesale sales in 2015, up from 28.1% in 2014.
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The estimates in this report are based on data collected from separate surveys conducted by the U.S. Census Bureau: 2017 Annual Survey of Manufactures; 2017 Annual Wholesale Trade Survey; 2017 Service Annual Survey; and the 2017 Annual Retail Trade Survey.
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http://www.istat.it/en/archive/168897
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The estimates in this report are based on data collected from separate surveys conducted by the U.S. Census Bureau: 2017 Annual Survey of Manufactures; 2017 Annual Wholesale Trade Survey; 2017 Service Annual Survey; and the 2017 Annual Retail Trade Survey.
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The Polish project on scanner data had its first step in 2011, when the cooperation with one retail chain was established. In May 2015, the agreement with the fourth retail trade chain (the most important one) was achieved and the share covered with scanner data increased to nearly 50% of the supermarket and hypermarket in terms of turnover. The main lessons learnt in the Polish project are illustrated in this presentation (from legal aspects, to the issues concerning the data transmission, passing through the problems of allocation of specific items to ECOICOP groups).
http://www.istat.it/en/archive/168897
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http://www.istat.it/en/archive/168897
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Dr Dev Kambhampati | Measuring Ecommerce
1. U.S. Department of Commerce
Economics and Statistics Administration
U.S. CENSUS BUREAU
census.gov
E-Stats 2015: Measuring the Electronic Economy
Economy-Wide Statistics Briefs
Released May 24, 2017
E15-ESTATS
The 2015 E-Stats provides estimates of e-commerce
activity in key sectors of the U.S. economy for 2015,
revises previously released estimates for 2014 and
earlier, and places these estimates in historical context.
Underlying data are collected in four separate surveys
of manufacturing, wholesale, service, and retail
businesses. Corresponding data tables for each sector
can be found at <www.census.gov/programs-surveys
/e-stats/data/tables.html>.1
Manufacturing
E-commerce shipments of U.S. manufacturers were
$3,506.9 billion in 2015, down 2.9 percent from a
revised $3,612.3 billion in 2014 (see Figure 1). Total
shipments were $5,547.0 billion in 2015, down 5.8
percent from a revised $5,887.6 billion in 2014.
E-commerce shipments were 63.2 percent of all
manufacturing shipments in 2015, up from a revised
61.4 percent in 2014 (see Figure 2).
In 2015, 16 North American Industry Classification
System (NAICS) subsectors had e-commerce shipments
that accounted for more than 50 percent of their total
manufacturing shipments, led by NAICS 336 (82.5
percent), transportation equipment manufacturing;
NAICS 312 (72.9 percent), beverage and tobacco
product manufacturing; and NAICS 322 (68.6 percent),
paper manufacturing.
See the U.S. Manufacturing Shipments—Total and
E-commerce Value: 2015 and 2014 table for more
information.
Wholesale
Total e-commerce sales for merchant wholesalers in the
United States, including manufacturers’ sales branches
and offices (MSBOs), were up 1.9 percent to $2,198.8
billion in 2015 from a revised $2,158.8 billion in 2014
(see Figure 1). Total sales decreased by 5.3 percent
1
Percent changes quoted in the release are calculated using
estimates rounded to millions as provided in the tables.
Figure 1.
E-commerce Total Shipments/Sales/
Revenues: 2014–2015
3,612.3 3,506.9
(In billions of dollars)
2.9%
Total
manufacturing
1
Total merchant wholesale trade including manufacturers’ sales
branches and offices.
Note: For the estimates of e-commerce total shipments, sales,
and revenues, measures of sampling variability can be found
at <www.census.gov/data/tables/2015/econ/e-stats/2015
-e-stats.html>.
Source: U.S. Census Bureau, 2015 Annual Survey of Manufactures;
2015 Annual Wholesale Trade Survey; 2015 Service Annual Survey;
and 2015 Annual Retail Trade Survey.
20152014
511.8 549.7
7.4%
Total for selected
service industries
20152014
298.7 340.4
14.0%
Total
retail trade
20152014
2,158.8 2,198.8
1.9%
Total merchant
wholesale trade1
20152014
2. 2 U.S. Census Bureau
to $7,286.4 billion in 2015 from a revised $7,692.1
billion in 2014. E-commerce sales of merchant
wholesalers, including MSBOs, were 30.2 percent of
total sales in 2015, an increase from the revised 28.1
percent in 2014 (see Figure 2).
E-commerce sales accounted for 24.8 percent of total
sales of merchant wholesalers, excluding MSBOs in
2015, while e-commerce sales were 44.4 percent of
the sales of MSBOs.
See the U.S. Merchant Wholesale Trade Sales, Including
Manufacturers’ Sales Branches and Offices—Total
and E-commerce: 2015 and 2014 tables for more
information.
Services
E-commerce revenues for selected service industries
in the United States were $549.7 billion in 2015, up
7.4 percent from a revised $511.8 billion in 2014 (see
Figure 1). Total revenues were $13,987.3 billion in
2015, up 4.1 percent from a revised $13,434.1 billion
in 2014. E-commerce revenues were 3.9 percent of
total revenues in 2015 (see Figure 2).
See the U.S. Selected Services Revenue—Total
and E-commerce: 2015 and 2014 table for more
information.
Retail
Sales from e-commerce for U.S. retailers were $340.4
billion in 2015, up 14.0 percent from a revised $298.7
billion in 2014 (see Figure 1). Total sales increased by
1.9 percent to $4,727.4 billion in 2015 from a revised
$4,639.4 billion in 2014.
E-commerce sales were 7.2 percent of total sales in
2015, up from a revised 6.4 percent in 2014 (see
Figure 2).
See the U.S. Retail Trade Sales Total and E-commerce:
2015 and 2014 table for more information.
In June of 2017, supplemental tables utilizing annual
data will be released on total and e-commerce sales by
primary business activity for Electronic Shopping and
Mail-Order Houses (NAICS 4541) for 2011–2015.
EXPLANATORY NOTES
General
The estimates in this release are based on data
collected from four surveys conducted by the
U.S. Census Bureau: the 2015 Annual Survey of
Manufactures (ASM), the 2015 Annual Wholesale Trade
Survey (AWTS), the 2015 Service Annual Survey (SAS),
and the 2015 Annual Retail Trade Survey (ARTS).
All of these surveys were conducted independently.
Measures of total economic activity and e-commerce
are presented in this report to provide a broad
perspective of e-commerce activity across the many
sectors. Brief descriptions of the survey methods are
given below.
Industry classifications used in this report are based on
the NAICS. Information about the NAICS and additional
detail about coverage, sample design, and estimation
methodology for the annual surveys may be found at
<www.census.gov/programs-surveys/e-stats.html>. In
addition, all current and prior reports, historical data
tables, and past research papers are available at this
same Web site.
Different measures of economic activity are used in the
four surveys:
ASM. “Value of shipments” is the measure used
for manufacturing in the ASM. It is the value of all
products shipped plus all miscellaneous receipts.
Figure 2.
E-commerce as a Percentage of Total
Shipments/Sales/Revenues: 2014–2015
* Year-to-year comparisons are not statistically different at the
90 percent confidence level.
1
Total merchant wholesale trade including manufacturers’ sales
branches and offices.
Note: For the estimates of e-commerce as a percentage of total
shipments/sales/revenues by sector that are shown in this table,
the corresponding standard errors can be found at <www.census
.gov/data/tables/2015/econ/e-stats/2015-e-stats.html>.
Source: U.S. Census Bureau, 2015 Annual Survey of Manufactures;
2015 Annual Wholesale Trade Survey; 2015 Service Annual Survey;
and 2015 Annual Retail Trade Survey.
2015
2014
63.2
61.4
28.1
30.2
6.4
7.2
3.8
3.9
Total for selected
service industries*
Total retail trade
Total merchant
wholesale trade1
Total
manufacturing
3. U.S. Census Bureau 3
Value of shipments includes shipments to outside
customers, as well as to affiliated plants.
AWTS and ARTS. “Sales” is the measure used
in AWTS and ARTS. Sales is the dollar value of
transactions between the reporting firm and its
customers. Sales includes transactions to foreign
affiliates, but excludes transactions among domestic
affiliates.
SAS. “Revenues” is the measure used in SAS.
Revenues are the dollar value of transactions
and contracts between reporting firms and their
customers. These values include services performed
for foreign affiliates, but exclude transactions
among domestic affiliates. Revenue includes the
total value of service contracts, the market value
of compensation received in lieu of cash, amounts
received for work subcontracted to others, and other
industry-specific items.
E-commerce sales/revenues are sales of goods and
services where the buyer places an order, or the price
and terms of the sale are negotiated, over the 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.
E-commerce shipments (e-shipments) are online orders
accepted for manufactured products from customers,
including shipments to other domestic plants of the
same company for further manufacture, assembly,
or fabrication where price and terms of sale are
negotiated over the Internet, Extranet, EDI network,
electronic mail, or other online system. Payment may
or may not be made online.
SURVEY METHODS
Annual Survey of Manufactures
The 2015 estimates of manufacturing shipments and
e-shipments were derived from the 2015 ASM. In the
ASM, data are collected annually from a probability
sample of approximately 50,000 manufacturing
plants as defined by the 2012 NAICS. Data for small-
and medium-sized single establishment companies
are estimated using information obtained from
administrative sources.
The ASM is a survey of manufacturing plants and
represents activities at individual plants rather than
the entire company.
E-commerce questions were included on the
ASM questionnaires along with questions about
employment, payroll, value of shipments, cost of
materials consumed, and capital expenditures. Data for
nonresponding plants were imputed using information
from responding plants with similar characteristics.
Shipments estimates for the NAICS subsectors were
calculated by summing both the reported and the
imputed plant data. For the ASM, the data were weighted
by the reciprocal of the probability of the plant’s
inclusion in the sample. The total shipment estimates
were then linked to the 2012 Economic Census results
to reduce sampling and nonsampling errors.
For more information on the ASM, see <www.census
.gov/programs-surveys/asm.html>.
Annual Wholesale Trade Survey, Service Annual
Survey, Annual Retail Trade Survey
The AWTS measures the economic activity of merchant
wholesale firms with paid employees (i.e., employer
firms) including MSBOs as defined by the 2007 NAICS.
Merchant wholesale firms are those that take title to
the goods they sell. The AWTS also collects data from
wholesale agents and brokers, but e-commerce sales
are not requested. Therefore, agents and brokers are
not included in the wholesale E-Stats estimates. Data
are requested annually from about 8,000 wholesale
firms that include approximately 1,000 MSBOs. Data
for MSBOs were first collected with the 2003 AWTS for
years 2002 and 2003.
For more information about AWTS, see <www.census
.gov/wholesale>.
The SAS measures the economic activity of employer
firms classified in 11 service-related sectors as defined
by the 2007 NAICS:
•• Utilities
•• Transportation and Warehousing
•• Information
•• Finance and Insurance
•• Real Estate and Rental and Leasing
•• Professional, Scientific, and Technical Services
•• Administrative and Support and Waste Management
and Remediation Services
•• Educational Services
•• Health Care and Social Assistance
•• Arts, Entertainment, and Recreation
•• Other Services
4. 4 U.S. Census Bureau
Data are requested annually from about 72,000 firms.
For more information about SAS, see <www.census
.gov/services>.
The ARTS measures the economic activity of
employer and nonemployer (i.e., businesses without
paid employees) firms classified in Retail Trade or
Accommodation and Food Services as defined by
the 2007 NAICS. The sample contains approximately
22,000 firms with paid employees, roughly 17,500
are classified in Retail Trade and 4,500 are classified
in Accommodation and Food Services. Data for
nonemployers are included in the estimates through
imputation or administrative data provided by other
federal agencies.
For more information about ARTS, see <www.census
.gov/retail>.
For these three surveys, stratified random samples of
firms are selected from a sampling frame constructed
using information from the 2007 Economic Census and
updated with information from the Census Bureau’s
Business Register. The samples are subsequently
updated to represent employer firms in business
during 2015.
All wholesale, service, and retail firms surveyed are
asked to report total sales/revenues and e-sales
/e-revenues for 2015. Wholesalers are also asked to
report e-sales made through EDI networks. Retailers
in the Electronic Shopping and Mail-Order Houses
industry are also asked to report total sales and e-sales
for 2015 for specific merchandise lines. E-commerce
data for nonresponding employer firms and all retail
nonemployers were imputed from responding firms
within the same kind of business.
Estimates of total sales/revenues and e-sales/e-revenues
were calculated by summing data (both reported and
imputed) weighted by the reciprocal of the probability
of the firm’s inclusion in the appropriate sample.
The services, retail, and wholesale estimates in this
report have been adjusted using results of the 2012
Economic Census to reduce sampling error and to allow
comparability with the census results.
Reliability of Estimates
The estimates in this report are based on sample
surveys and are subject to sampling error. All
estimates in this report are also subject to
nonsampling error. Sampling error occurs because
only a subset of the entire population is measured.
Nonsampling error encompasses all other factors
that contribute to the total error of a sample survey
estimate and may occur in censuses.
Tables, which can be found at <www.census.gov
/data/tables/2015/econ/e-stats/2015-e-stats.html>,
show standard errors for estimates of percentages
and coefficients of variation for estimates of total
dollar value. The standard error measures the extent
to which estimates derived from all possible samples
of the same size drawn using the same design differs
from the average of these estimates. The coefficient of
variation (expressed as a percentage) is the standard
error of the estimate divided by the estimate. Note
that standard errors and coefficients of variation are
estimates derived from the sample and are also subject
to sampling error. The coefficients of variation and
standard errors presented in the tables may be used
to compute confidence intervals about the sample
estimates.
The particular sample used for each survey included
in this report is one of a large number of samples of
the same size that could have been selected using the
same design. For ASM, we estimate sampling variances
using the Poisson variance estimator rather than the
method of random groups. In about 9 out of 10 (90
percent) of the possible samples, the estimates would
differ from the results of a complete enumeration by
less than 1.645 times the estimated standard error. For
AWTS, ARTS, and SAS, we use the method of random
groups (G=16 random groups) to estimate sampling
variances for estimates produced from these samples.
In about 9 out of 10 (90 percent) of the possible
samples, the estimates would differ from the results
of a complete enumeration by less than 1.753 (a
t-statistic with 15 [G-1] degrees of freedom) times the
estimated standard error.
To compute a 90 percent confidence interval for an
estimated total, multiply the estimate by its coefficient
of variation and then by either 1.753 or 1.645, as
indicated above. This amount is then added to and
subtracted from the estimate to give the upper and
lower bounds of the interval. As an example, suppose
the estimated total revenue is $51,770 million and the
estimated coefficient of variation for this estimate is
1.3 percent (0.013). Multiplying $51,770 million by
0.013 and by 1.753 gives $1,180 million. Subtracting
$1,180 million from and adding $1,180 million to
$51,770 million gives a 90 percent confidence interval
5. U.S. Census Bureau 5
of $50,590 million to $52,950 million. Confidence
statements for estimated percentages are computed
in a similar manner. 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 these estimates. All comparative statements in
this report have undergone statistical testing and,
unless otherwise noted, comparisons are statistically
significant at the 90 percent confidence level.
One source of nonsampling error is the inability to
obtain information about all cases in the sample.
Economic surveys at the Census Bureau are required
to compute two different types of response rates: a
unit response rate and weighted item response rates.
Refer to each survey’s Internet page (links provided
previously) for the unit response rates of the surveys
that contribute to this report. The weighted item
response rates are called Total Quantity Response
Rates (TQRR) and are item-level indicators of the
quality of each estimate. The following table shows the
TQRRs for e-commerce activity for the sectors included
in this report. More detailed information about
calculating and reporting response rates for economic
surveys can be found at <www.census.gov/about
/policies/quality/standards/appendixd3b.html>.
Other sources of nonsampling error include response
errors, unclear definitions, differences in the
interpretation of questions, mistakes in recording
or coding the data obtained, and other errors of
collection, response, coverage, and estimation of
missing data. Although no direct measures of these
sources of nonsampling error have been obtained,
precautionary steps were taken in all phases of the
collection, processing, and tabulation of the data in an
effort to minimize their influence.
CONTACTS
For additional information regarding surveys included
in this report, and for general information about the
Census Bureau’s e-business measurement program,
contact:
Data User Outreach and Education Office
International Trade Management Division
<ewd.outreach@census.gov>
800-242-2184
FUTURE E-STATS REPORTS
•• Quarterly retail e-commerce data will be released
August 17, 2017, and November 17, 2017.
•• E-Stats for 2016 will be released in mid-2018.
•• U.S. Electronic Shopping and Mail-Order Houses
(NAICS 4541) Supplemental Tables for 2011–2015
will be released in June of 2017.
All E-Stats reports, including prior reports, historical
data tables, and past research papers, are available at
<www.census.gov/programs-surveys/e-stats.html>.
Total Quantity Response Rate for 2015
Total Shipments/Sales/Revenues and
E-Commerce
Sector Total sales E-commerce sales
Manufacturing . . . . . . 78 0 74 0
Wholesale . . . . . . . . . 91 5 75 6
Retail . . . . . . . . . . . . . 93 4 84 3
Services . . . . . . . . . . . 86 2 79 1
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