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Survey Description

2017
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2017
Component ID: #ti1792302023

Background

The 2017 estimates are from data collected from a sample of 50,000 companies with paid employees (of which 19,422 were selected with certainty along with 30,584 others). The sample frame was about 5.9 million companies with employees (of which 5.8 million are single establishment companies), and about 26.3 million companies without employees. For those companies with employees, capital expenditures data are published for 132 industries, with one of those being ‘serving multiple industries’. In addition, total capital expenditures, with no industry detail, are shown for the companies without employees.

Component ID: #ti120361400

Composition of Industry Category Codes

Beginning with the 2004 ACES, industry categories used in the survey were comprised primarily of three-digit and selected four-digit industries from the 2002 North American Industry Classification System (NAICS). Industry combinations were developed through consultation with data users. In addition, a category was provided for structures and equipment expenditures serving multiple industries; for example, headquarters, regional offices, and central research laboratories.

In 2007, an updated edition of the NAICS was released, and was first incorporated in the 2009 ACES reference year.

Component ID: #ti120361401

Information Requested

Four survey forms were used for the 2017 ACES: the ACE-1(S) for smaller companies with employees, ACE-1(M) for midsized companies with employees, ACE-1(L) for larger companies with employees, and ACE-2 for companies without employees. The ACE-1(S), ACE- 1(M), and ACE-1(L) survey forms were mailed to the sample of companies with employees. Recipients of these survey forms were requested to provide capital expenditures data for each industry in which they had activity and to classify these expenditures as new and used structures and equipment.

New structures and equipment include expenditures for new buildings and other structures, structures that have been previously owned but neither used nor occupied, new machinery and equipment, and other new depreciable assets. Used structures and equipment include expenditures for buildings and other structures which have been previously owned and occupied, secondhand machinery and equipment, and other used depreciable assets. In addition, these companies were asked to report new structures and equipment acquired under capital lease arrangements entered into during the survey year.

The ACE-2 survey form was mailed to a sample of companies without employees. Capital expenditures data were requested separately for new and used structures and equipment. (Examples of ACE-1(S), ACE-1(M), ACE-1(L), and ACE-2 survey forms are available in Questionnaires and Instructions.)

Questionnaires and Instructions

Component ID: #ti120361403

Note on Disclosure

In accordance with federal law governing Census Bureau reports (Title 13 of the United States Code), no data are published that would disclose the identity or operations of enterprises providing information. When the estimate for a specific data item cannot be shown without disclosing sensitive information for individual enterprises, the publication of that data item is suppressed. The process used to avoid sensitive disclosures used in ACES does not change the overall totals or otherwise affect the integrity of the published data.

Component ID: #ti120361404

Abbreviations and Symbol

The following abbreviations and symbols are used in this publication:

D The data are withheld (suppressed) to avoid disclosing data for individual enterprises. The data may be included at higher level totals where the individual enterprise’s data is not disclosed due to aggregation.
NA The data are Not Applicable.
NS The difference in the two estimates being compared are not statistically significant at the Census Bureau standard of 90% confidence. This is also used for the estimate of percent change, where a NS notation means the estimate of percent change is not statistically different from 0%.
X The estimate of the quality, using Relative Standard Error, is not able to be calculated reliably. This is due to how sampling variance is estimated when most, or all, of the sampled enterprises that had a chance to be sampled did not report positive values for that item.
Z
The estimate is greater than 0, but still rounds to zero in the published units.

X
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